Share of the population of the stated age group that has completed post-secondary or tertiary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed primary education or incomplete lower secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed primary education or incomplete lower secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed primary education or incomplete lower secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed lower secondary or incomplete upper secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed lower secondary or incomplete upper secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed lower secondary or incomplete upper secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed upper secondary or incomplete post-secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed upper secondary or incomplete post-secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed upper secondary or incomplete post-secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed post-secondary or tertiary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed post-secondary or tertiary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed post-secondary or tertiary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed primary education or incomplete lower secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed primary education or incomplete lower secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed primary education or incomplete lower secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed lower secondary or incomplete upper secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed lower secondary or incomplete upper secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed lower secondary or incomplete upper secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed upper secondary or incomplete post-secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed upper secondary or incomplete post-secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed upper secondary or incomplete post-secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed post-secondary or tertiary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed post-secondary or tertiary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed post-secondary or tertiary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed primary education or incomplete lower secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed primary education or incomplete lower secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed primary education or incomplete lower secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed lower secondary or incomplete upper secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed lower secondary or incomplete upper secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed lower secondary or incomplete upper secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed upper secondary or incomplete post-secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed upper secondary or incomplete post-secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed upper secondary or incomplete post-secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed post-secondary or tertiary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed post-secondary or tertiary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed post-secondary or tertiary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed primary education or incomplete lower secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed primary education or incomplete lower secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed primary education or incomplete lower secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed lower secondary or incomplete upper secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed lower secondary or incomplete upper secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed lower secondary or incomplete upper secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed upper secondary or incomplete post-secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed upper secondary or incomplete post-secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed upper secondary or incomplete post-secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed post-secondary or tertiary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed post-secondary or tertiary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed post-secondary or tertiary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed primary education or incomplete lower secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed primary education or incomplete lower secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed primary education or incomplete lower secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed lower secondary or incomplete upper secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed lower secondary or incomplete upper secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed lower secondary or incomplete upper secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed upper secondary or incomplete post-secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed upper secondary or incomplete post-secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed upper secondary or incomplete post-secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed post-secondary or tertiary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed post-secondary or tertiary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed post-secondary or tertiary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed primary education or incomplete lower secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed primary education or incomplete lower secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed primary education or incomplete lower secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed lower secondary or incomplete upper secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed lower secondary or incomplete upper secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed lower secondary or incomplete upper secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed upper secondary or incomplete post-secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed upper secondary or incomplete post-secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed upper secondary or incomplete post-secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed post-secondary or tertiary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed post-secondary or tertiary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has completed post-secondary or tertiary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Share of the population of the stated age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
The difference between male and female mean number of years spent in school by age group. It is calculated by subtracting the female value from the male value. Data can be negative if the mean years of schooling for females is higher than for males. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
The difference between male and female mean number of years spent in school by age group. It is calculated by subtracting the female value from the male value. Data can be negative if the mean years of schooling for females is higher than for males. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed primary education or incomplete lower secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed primary education or incomplete lower secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed primary education or incomplete lower secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed lower secondary or incomplete upper secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed lower secondary or incomplete upper secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed lower secondary or incomplete upper secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed upper secondary or incomplete post-secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed upper secondary or incomplete post-secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed upper secondary or incomplete post-secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed post-secondary or tertiary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed post-secondary or tertiary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed post-secondary or tertiary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed primary education or incomplete lower secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed primary education or incomplete lower secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed primary education or incomplete lower secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed lower secondary or incomplete upper secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed lower secondary or incomplete upper secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed lower secondary or incomplete upper secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed upper secondary or incomplete post-secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed upper secondary or incomplete post-secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed upper secondary or incomplete post-secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed post-secondary or tertiary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed post-secondary or tertiary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed post-secondary or tertiary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed primary education or incomplete lower secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed primary education or incomplete lower secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed primary education or incomplete lower secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed lower secondary or incomplete upper secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed lower secondary or incomplete upper secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed lower secondary or incomplete upper secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed upper secondary or incomplete post-secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed upper secondary or incomplete post-secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed upper secondary or incomplete post-secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed post-secondary or tertiary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed post-secondary or tertiary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has completed post-secondary or tertiary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands in the specified age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands that has completed primary education or incomplete lower secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands that has completed primary education or incomplete lower secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands that has completed primary education or incomplete lower secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands that has completed lower secondary or incomplete upper secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands that has completed lower secondary or incomplete upper secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands that has completed lower secondary or incomplete upper secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands that has completed upper secondary or incomplete post-secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands that has completed upper secondary or incomplete post-secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands that has completed upper secondary or incomplete post-secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands that has completed post-secondary or tertiary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands that has completed post-secondary or tertiary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands that has completed post-secondary or tertiary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
Total population in thousands that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/
The score for protecting minority investors benchmarks economies with respect to the regulatory best practice on the indicator set. The score is indicated on a scale from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance, and is computed based on the methodology in the DB06-14 studies.
The score for protecting minority investors benchmarks economies with respect to the regulatory best practice on the indicator set. The score is indicated on a scale from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance, and is computed based on the methodology in the DB15-20 studies.
The ease of shareholder suits index measures how likely plaintiffs are to access internal corporate evidence. It has six components: (i) whether shareholders owning 10% of the company’s share capital have the right to inspect the Buyer-Seller transaction documents before filing a suit; (ii) whether shareholders owning 10% of the company’s share capital can request that a government inspector investigate the Buyer-Seller transaction without filing a suit; (iii) what range of documents is available to the shareholder plaintiff from the defendant and witnesses during trial; (iv) whether the plaintiff can obtain cate­gories of relevant documents from the defendant without identifying each document specifically; (v) whether the plaintiff can directly examine the defendant and witnesses during trial (0-2); and (vi) whether the standard of proof for civil suits is lower than that for criminal cases. The index is computed based on the methodology in the DB06-14 studies.
The ease of shareholder suits index measures how likely plaintiffs are to access internal corporate evidence and recover legal expenses. It has six components: (i) whether shareholders owning 10% of the company’s share capital have the right to inspect the Buyer-Seller transaction documents before filing a suit. Alternatively, whether they can request that a government inspector investigate the Buyer-Seller transaction without filing a suit; (ii) what range of documents is available to the shareholder plaintiff from the defendant and witnesses during trial; (iii) whether the plaintiff can obtain cate­gories of relevant documents from the defendant without identifying each document specifically; (iv) whether the plaintiff can directly examine the defendant and witnesses during trial; (v) whether the standard of proof for civil suits is lower than that for criminal cases; and (vi) whether shareholder plaintiffs can recover their legal expenses from the company. The index is computed based on the methodology in the DB15-20 studies.
The score for ease of shareholder suits index benchmarks economies with respect to the regulatory best practice on the indicator. The score is indicated on a scale from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance, and is computed based on the methodology in the DB06-14 studies.
The score for ease of shareholder suits index benchmarks economies with respect to the regulatory best practice on the indicator. The score is indicated on a scale from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance, and is computed based on the methodology in the DB15-20 studies.
The extent of disclosure index measures the approval and disclosure requirements of related-party transactions. It has five components: (i) whether it is the managing director alone, the board of directors, or the general meeting of shareholders the corporate body who can provide legally sufficient approval for the transaction (points are assigned depending on whether interested directors are permitted to vote or not); (ii) whether an external body (an independent auditor, for example) must review the transaction before it takes place; (iii) whether disclosure by Mr. James to the board of directors or the supervisory board is required; (iv) whether immediate disclosure of the transaction to the public, the regulator or the shareholders is required; and (v) whether disclosure in periodic filings (for example, annual reports) is required.
The extent of corporate transparency index measures the level of information that companies must share regarding their board members, senior executives, annual meetings and audits. This index has seven components: (i) whether Buyer must disclose direct and indirect beneficial ownership stakes representing 5%; (ii) whether Buyer must disclose information about board members’ primary employment and director­ships in other companies; (iii) whether Buyer must disclose the compensation of individual managers; (iv) whether a detailed notice of general meeting must be sent 21 calendar days before the meeting; (v) whether shareholders representing 5% of Buyer’s share capital can put items on the general meeting agenda; (vi) whether Buyer’s annual financial statements must be audited by an external auditor; (vii) whether Buyer must disclose its audit reports to the public. The index is computed based on the methodology in the DB15-20 studies.
The score for extent of corporate transparency index benchmarks economies with respect to the regulatory best practice on the indicator. The score is indicated on a scale from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance, and is computed based on the methodology in the DB15-20 studies.
The score for extent of director liability index benchmarks economies with respect to the regulatory best practice on the indicator. The score is indicated on a scale from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance.
The score for extent of disclosure index benchmarks economies with respect to the regulatory best practice on the indicator. The score is indicated on a scale from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance.
The extent of ownership and control index measures the rules governing the structure and change in control of companies. This index has seven components: (i) whether the same individual cannot be appointed CEO and chairperson of the board of directors; (ii) whether the board of directors must include independent nonexecutive board members; (iii) whether shareholder can remove members of the board of directors without cause before the end of their term; (iv) whether the board of directors must have an audit committee; (v) whether a potential acquirer must make a tender offer to all shareholders upon acquiring 50% of Buyer; (vi) whether Buyer must pay declared dividends within a maximum period set by law; (vii) whether a subsidiary cannot acquire shares issued by its parent company. The index is computed based on the methodology in the DB15-20 studies.
The score for extent of ownership and control index benchmarks economies with respect to the regulatory best practice on the indicator. The score is indicated on a scale from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance, and is computed based on the methodology in the DB15-20 studies.
The extent of shareholder rights index measures the role of shareholders in key corporate decisions. It has six components: (i) whether the sale of 51% of Buyer’s assets requires shareholder approval; (ii) whether shareholders representing 10% of Buyer’s share capital have the right to call for a meeting of shareholders; (iii) whether Buyer must obtain its share­holders’ approval every time it issues new shares; (iv) whether shareholders automatically receive preemption rights when Buyer issues new shares; (v) whether shareholders elect and dismiss the external auditor; (vi) whether changes to the rights of a class of shares are only possible if the holders of the affected shares approve. The index is computed based on the methodology in the DB15-20 studies.
The score for extent of shareholder rights index benchmarks economies with respect to the regulatory best practice on the indicator. The score is indicated on a scale from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance, and is computed based on the methodology in the DB15-20 studies.
The extent of director liability index measures when board members can be held liable for harm caused by related-party transactions and what sanctions are available. It has seven components: (i) whether shareholders can sue directly or derivatively for the damage the transaction causes to the company; (ii) whether a shareholder plaintiff can hold Mr. James liable for the damage the Buyer-Seller transaction causes to the company; (iii) whether a shareholder plaintiff can hold other executives and directors (the CEO, members of the board of directors or members of the supervisory board) liable for the damage the transaction causes to the company; (iv) whether Mr. James pays damages for the harm caused to the company upon a successful claim by the shareholder plaintiff; (v) whether Mr. James repays profits made from the transaction upon a successful claim by the shareholder plaintiff; (vi) whether Mr. James is disqualified upon a successful claim by the shareholder plaintiff; and (vii) whether a court can void the trans­action upon a successful claim by a shareholder plaintiff.
The ranking of economies on the strength of minority shareholder protections is determined by sorting their scores for protecting minority investors.
The strength of investor protection index is the sum of the extent of disclosure index, extent of director liability index and ease of shareholder suits index. The index is computed based on the methodology in the DB06-14 studies.
The strength of minority investor protection index is the sum of the extent of disclosure index, extent of director liability index, ease of shareholder suits index, extent of shareholder rights index, extent of ownership and control index and extent of corporate transparency index. The index is computed based on the methodology in the DB15-20 studies.
Country's national development strategy is linked to medium-term expenditure framework and reflected in annual budgets.  The degree to which governments take the lead in co-ordinating aid-funded activities is the subject of a specific commitment in the Paris Declaration.  It is also a variable that seems to be subject to significant changes over time. Another dimension of ownership is the degree to which countries have development strategies that are clear and well operationalised, so that development efforts are effective and there is a robust basis for the alignment of aid with country policies. This is based on the World Bank's Results-Based National Development Strategies: Assessment and Challenges Ahead Report.  Categorical where "A" assigned a value of 1; "B" assigned a value of 2; "C" assigned a value of 3; "D" assigned a value of 4; "E" assigned a value of 5; and "N/A" assigned a value of 6.  Indicators 3 to 12 (but not Indictor 8) are drawn from the Survey on Monitoring the Paris Declaration for each respective year.
Encourage shared analysis on field missions work including diagnostic reviews that are joint.  Donor co-ordinated missions focuses only on the proportion of (i) missions undertaken jointly by two or more donors, or (ii) missions undertaken by one donor on behalf of another (delegated co-operation).  Indicators 3 to 12 (but not Indictor 8) are drawn from the Survey on Monitoring the Paris Declaration for each respective year.
Encourage shared analysis on country analytic work including diagnostic reviews that are joint.  (i) Country analytic work undertaken by one or more donors jointly; (ii) Country analytic work undertaken by one donor on behalf of another donor (including work undertaken by one and/or used by another when it is co-financed and formally acknowledged in official documentation); (iii) Country analytic work undertaken with substantive involvement from government.  Indicators 3 to 12 (but not Indictor 8) are drawn from the Survey on Monitoring the Paris Declaration for each respective year.  Indicators 3 to 12 (but not Indictor 8) are drawn from the Survey on Monitoring the Paris Declaration for each respective year.
Transparent and monitorable performance assessment frameworks to assess progress against (a) national development strategies and (b) sector programmes.  Categorical where "A" assigned a value of 1; "B" assigned a value of 2; "C" assigned a value of 3; "D" assigned a value of 4; "E" assigned a value of 5; and "N/A" assigned a value of 6.  Indicators 3 to 12 (but not Indictor 8) are drawn from the Survey on Monitoring the Paris Declaration for each respective year.
The concept of mutual accountability is an important innovation of the Paris Declaration.  It develops the idea that aid is more effective when both donors and partner governments are accountable to their respective publics for the use of resources to achieve development results, and when they are also accountable to each other. The specific focus of the agreed indicator (Indicator 12) is on mutual accountability for the implementation of the Partnership Commitments included in the Declaration and any local agreements on enhancing aid effectiveness. Specifically, the country survey returns tell us whether there exists a mechanism for mutual review of progress on aid
This rating is the World Bank's annual Country Policy and Institutional Assessment ratings (CPIA sub-component 13) for the quality of budgetary and financial management.  This scale runs from 1 to 5 with 1 the worst and 5 the best.  The focus is on the degree to which existing systems adhere to broadly accepted good practices or there is a reform programme in place to promote improved practices.
The focus is on the degree to which existing systems adhere to broadly accepted good practices or there is a reform programme in place to promote improved practices. Reliable procurement systems are based on the common benchmarking and assessment methodology for public procurement systems developed and piloted by the Joint Venture on Procurement.  Categorical where "A" assigned a value of 1; "B" assigned a value of 2; "C" assigned a value of 3; "D" assigned a value of 4; "E" assigned a value of 5; and "N/A" assigned a value of 6.
The objective of this indicator is to improve transparency and accountability by encouraging partner countries and donors to accurately record aid as much as possible in the national budget, thereby allowing scrutiny by parliaments.  Aid flows to the government sector that is reported in country's national government budgets.
Donor capacity-development support provided through co-ordinated programmes are consistent with country's development strategies.  Indicators 3 to 12 (but not Indictor 8) are drawn from the Survey on Monitoring the Paris Declaration for each respective year.
Donors and aid flows that use country's public financial management systems that either (a) adhere to broadly good practices or (b) have a reform programme in place to achieve these.  Indicators 3 to 12 (but not Indictor 8) are drawn from the Survey on Monitoring the Paris Declaration for each respective year.
Donors and aid flows that use country's procurement systems that either (a) adhere to broadly good practices or (b) have a reform programme in place to achieve these.  Indicators 3 to 12 (but not Indictor 8) are drawn from the Survey on Monitoring the Paris Declaration for each respective year.
Indicator 6 is a count of parallel project implementation units (PIUs), where
Aid disbursements on schedule and recorded by government.  The objective is two-fold.  First and foremost, it is to encourage disbursements of funds within the year they are scheduled.  Second, it is to encourage accurate recording of disbursements by partner authorities.  Both objectives require strong cooperation between donors and partner authorities. Aid is more predictable and released according to agreed schedules in annual or multi-year frameworks.  Indicators 3 to 12 (but not Indictor 8) are drawn from the Survey on Monitoring the Paris Declaration for each respective year.
Tied aid is aid provided on the condition that the recipient uses it to purchase goods and services from suppliers based in the donor country. The target for this indicator is to increase untied aid over time.
Aid provided in the framework of programme-based approaches (PBAs) are a way of engaging in development co-operation based on the principles of co-ordinated support for  a locally owned programme of development, such as a national development strategy, a sector programme, a thematic programme or a programme of a specific organization.  Programme-based approaches share the following features: (i) Leadership by the host country or organization; (ii) A single comprehensive programme and budget framework; (iii) A formalized process for donor co-ordination and harmonization of donor procedures for reporting, budgeting, financial management and procurement; (iv) Efforts to increase the use of local systems for programme design and implementation, financial management, monitoring and evaluation.  Indicators 3 to 12 (but not Indictor 8) are drawn from the Survey on Monitoring the Paris Declaration for each respective year.
Political Stability and Absence of Violence/Terrorism measures perceptions of the likelihood of political instability and/or politically-motivated violence, including terrorism. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.
Political Stability and Absence of Violence/Terrorism measures perceptions of the likelihood of political instability and/or politically-motivated violence, including terrorism.   Number of sources indicates the number of underlying data sources on which the aggregate estimate is based.
Political Stability and Absence of Violence/Terrorism measures perceptions of the likelihood of political instability and/or politically-motivated violence, including terrorism.  Percentile rank indicates the country's rank among all countries covered by the aggregate indicator, with 0 corresponding to lowest rank, and 100 to highest rank.  Percentile ranks have been adjusted to correct for changes over time in the composition of the countries covered by the WGI.
Political Stability and Absence of Violence/Terrorism measures perceptions of the likelihood of political instability and/or politically-motivated violence, including terrorism.  Percentile rank indicates the country's rank among all countries covered by the aggregate indicator, with 0 corresponding to lowest rank, and 100 to highest rank.  Percentile ranks have been adjusted to correct for changes over time in the composition of the countries covered by the WGI.  Percentile Rank Lower refers to lower bound of 90 percent confidence interval for governance, expressed in percentile rank terms.
Political Stability and Absence of Violence/Terrorism measures perceptions of the likelihood of political instability and/or politically-motivated violence, including terrorism.  Percentile rank indicates the country's rank among all countries covered by the aggregate indicator, with 0 corresponding to lowest rank, and 100 to highest rank.  Percentile ranks have been adjusted to correct for changes over time in the composition of the countries covered by the WGI.  Percentile Rank Upper refers to upper bound of 90 percent confidence interval for governance, expressed in percentile rank terms.
Political Stability and Absence of Violence/Terrorism measures perceptions of the likelihood of political instability and/or politically-motivated violence, including terrorism.  Standard error indicates the precision of the estimate of governance.  Larger values of the standard error indicate less precise estimates.  A 90 percent confidence interval for the governance estimate is given by the estimate +/- 1.64 times the standard error.
Manufactures unit value index is a weighted unit value index of exports of manufactures by industrial countries.
Manufactures unit value index (percentage change) is calculated as the annual percentage change of a weighted unit value index of exports of manufactures by industrial countries.
Real effective exchange rate is the nominal effective exchange rate (a measure of the value of a currency against a weighted average of several foreign currencies) divided by a price deflator or index of costs. This indicator corresponds to the IFS's line rec, and is based on a nominal rate adjusted for relative changes in consumer prices.
Real effective exchange rate is the nominal effective exchange rate (a measure of the value of a currency against a weighted average of several foreign currencies) divided by a price deflator or index of costs.
The data on reported portfolio investment assets (equity and debt securities) are sourced from the IMF’s Coordinated Portfolio Investment Survey (CPIS) database.
The data on international reserve assets refer to entries published in the world tables of the IMF’s International Financial Statistics (IFS).
The data cover total outstanding loans and other liabilities to the IMF as at the end of the reference period. Outstanding IMF credit and loans outstanding—representing the sum of (1) the use of IMF credit within the General Resources Account, (2) outstanding loans under the Structural Adjustment Facility (SAF), the Poverty Reduction and Growth Facility (PRGF) and the Trust Fund, and (3) arrears of interest (if applicable). The data are sourced from IMF records. Data on total IMF credit and loans are also disseminated in the IMF’s statistical publication, International Financial Statistics.
The data cover total IMF credit and loan obligations (principal and interest) falling due in the next twelve months and the obligations that are in arrears as at the end of the reporting period. The data are denominated in Special Drawing Rights (SDRs) and are converted to US dollars using the end-period exchange rate. The data are sourced from IMF records.
SDRs are international reserve assets created by the IMF and allocated to members to supplement existing official reserves. Holdings of SDRs by an IMF member are recorded as an asset, while the allocation of SDRs is recorded as the incurrence of a liability of the member receiving them. The membership of the SDR Department incurs the asset and liability position among themselves, not with the IMF. The holdings and allocations should be shown gross, rather than netted (Balance of Payments and International Investment Position Manual, sixth edition (BPM6)).
The data are sourced from the IMF’s Coordinated Portfolio Investment Survey (CPIS) database. Individual economy data on debt securities held by nonresidents are derived from other economies’ CPIS creditor data. The relevant tables in the CPIS database are 1) derived portfolio investment liabilities: long-term debt securities; and 2) derived portfolio investment liabilities: short-term debt securities.
Short-term debt securities cover such instruments as treasury bills, commercial paper, and bankers' acceptances that usually give the holder the unconditional right to a stated fixed sum of money on a specified date. These instruments are usually traded on organized markets at a discount and have an original term to maturity of one year or less.
Holdings of SDRs are international reserve assets created by the IMF to supplement existing reserves. They are valued on the basis of a basket of currencies of four key international currencies and can be used in a wide variety of transactions and operations among official holders. SDRs are allocated to Fund members that are participants in the Fund’s Operations Division for SDRs and Administered Accounts in proportion to their quotas. Data  are sourced from IMF records.
The data are sourced from the African Development Bank, Asian Development Bank, and Inter-American Development, and IBRD loans and IDA credits from the World Bank.
The data represent the sum of loans from the IMF (item 07) and other institutions (item 08).
Aid loans cover Official Development Assistance (ODA) loans. ODA loans are concessional loans provided by the official sector to countries and territories on the DAC List of ODA Recipients.
Other loans cover official loans other than export credits that do not qualify as ODA, either as they are not for developmental purposes or are insufficiently concessional. Those DAC Members that provide loans, and so hold official debt, notify data on outstanding amounts on these loans to OECD annually under the Creditor Reporting System.
The data show the outstanding debt on loans, other than direct export credits, extended by governments which are members of the OECD’s Development Assistance Committee (DAC). In addition to straightforward loans, official bilateral loans include loans repayable in kind, and eligible loans in Associated Financing packages.
The data provides total international liabilities (all instruments) to banks that report the BIS Consolidated Banking Statistics.
The data are derived from the BIS Consolidated Banking Statistics (CBS), which comprise data on gross consolidated claims of banks resident in the CBS reporting.
The data provides total cross-border liabilities (all instruments) to banks that report the BIS Locational Banking Statistics.
The data are derived from the Bank for International Settlements (BIS) Locational Banking Statistics.
The data are derived from the Bank for International Settlements (BIS) Locational Banking Statistics.
The data are derived from the BIS locational banking statistics. Deposits with BIS reporting banks are shown in BIS publications as banks' liabilities to their creditors.
The data are derived from the BIS locational banking statistics. Deposits with BIS reporting banks are shown in BIS publications as banks' liabilities to their creditors.
The data are derived from the Bank for International Settlements (BIS) International Debt Securities Statistics.
The data are derived from the Bank for International Settlements (BIS) International Debt Securities Statistics, excluding bank issuers.
The data are derived from the Bank for International Settlements (BIS) International Debt Securities Statistics and cover securities with original maturity of up to 12 months.
The data are derived from the Bank for International Settlements (BIS) International Debt Securities Statistics and cover securities with original maturity of up to 12 months, excluding bank issuers.
Amounts due to Paris Club Creditor Countries by foreign sovereign and other public debtors.
Amounts due to Paris Club Creditor Countries by foreign sovereign and other public debtors.
Data refer to Berne Union members’ direct insurance or lending, i.e. amount reinsured by others are not deducted and amounts reinsured by members for others are not added. Countries are defined  based on ISO 3166-1. Amounts guaranteed by an international financial institution are allocated to that institution, not the country of residence of the borrower or guarantor. Data are stock data, i.e. total outstanding amounts at the end of each quarter (31 March, 30 June, 30 September, and 31 December). Total data include medium/long-term (MLT) exposures and short-term (ST) exposures.
ST refers to insured export credits with credit terms up to and including 12 months, except for transactions involving an insured manufacturing (pre-credit) risk with a risk period of more than 12 months, which are classified as medium/long-term  (MLT).
Real effective exchange rate is the nominal effective exchange rate (a measure of the value of a currency against a weighted average of several foreign currencies) divided by a price deflator or index of costs.
The commencement of proceedings index has three components: (i) whether debtors can initiate both liquidation and reorganization proceedings; (ii) whether creditors can initiate both liquidation and reorganization proceedings; and (iii) what standard is used for commence­ment of insolvency proceedings.
The cost to resolve insolvency is the cost of the proceedings is recorded as a percentage of the value of the debtor’s estate, including court fees and government levies, fees of insolvency administrators, auctioneers, assessors and lawyers, and all other fees and costs.
The creditor participation index has four components: (i) whether creditors appoint the insolvency representative or approve, ratify or reject the appointment of the insolvency representative; (ii) Whether creditors are required to approve the sale of substantial assets of the debtor in the course of insol­vency proceedings; (iii) Whether an individual creditor has the right to access financial information about the debtor during insolvency proceedings; and (iv) Whether an individual creditor can object to a decision of the court or of the insolvency representative to approve or reject claims against the debtor brought by the creditor itself and by other creditors.
The score for resolving insolvency is the simple average of the scores for each of the component indicators: the recovery rate of insolvency proceedings involving domestic entities, as well as the strength of the legal framework applicable to judicial liquidation and reorganization proceedings.
The score for recovery rate benchmarks economies with respect to the regulatory best practice on the indicator. The score is indicated on a scale from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance.
The management of debtor's assets index has six components: (i) whether the debtor (or an insolvency representative on its behalf) can continue performing contracts essential to the debtor’s survival; (ii) whether the debtor (or an insolvency representative on its behalf) can reject overly burdensome contracts; (iii) whether undervalued transactions entered into before commencement of insolvency proceedings can be avoided after proceedings are initiated; (iv) whether transactions entered into before commencement of insolvency proceedings that give preference to one or several creditors can be avoided after proceedings are initiated; (v) whether the insolvency framework includes specific provisions that allow the debtor (or an insolvency representa­tive on its behalf), after commencement of insolvency proceedings, to obtain financing necessary to function during the proceedings; and (vi) whether post-commencement finance receives priority over ordinary unse­cured creditors during distribution of assets.
Outcome records whether the case study company emerges from the proceedings as a going concern (1) or its assets are sold piecemeal (0). If the business continues operating, 100% of the company value is preserved. If the assets are sold piecemeal, the maximum amount that can be recovered is 70% of the value of the company.
The recovery rate is recorded as cents on the dollar recovered by secured creditors through judicial reorganization, liquidation or debt enforcement (foreclosure or receivership) proceedings. The calculation takes into account the outcome: whether the business emerges from the proceedings as a going concern or the assets are sold piecemeal.
The score for strength of insolvency framework index benchmarks economies with respect to the regulatory best practice on the indicator. The score is indicated on a scale from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance.
The ranking of economies on the ease of resolving insolvency is determined by sorting their scores for resolving insolvency.
The reorganization proceedings index has three components: (i) whether the reorganization plan is voted on only by the creditors whose rights are modified or affected by the plan; (ii) whether creditors entitled to vote on the plan are divided into classes, each class votes separately and the creditors within each class are treated equally; and (iii) whether the insolvency framework requires that dissenting creditors receive as much under the reorganization plan as they would have received in liquidation.
The strength of insolvency framework index measures the legal framework applicable to judicial liquidation and reorganization proceedings and the extent to which best insolvency practices have been implemented in each economy covered by the Doing Business. This index ranges has four components, the commencement of proceedings index, management of debtor’s assets index, reorganization proceedings index and creditor participation index.
The Specific Allocation Grant (DAK) is a fund sourced from revenue in the Central Budget (APBN) allocated to a certain region with the aim of funding special activities of the region in accordance with national priorities. The DAK allocation has a formula component that takes into account the fiscal gap and has a 10 percent matching requirement. The DAK is earmarked for capital spending and cannot be used for research, training, administration, or official travel.
The General Allocation Grant (DAU) is a fund sourced from the Central Budget (APBN) allocated to bring equality in the financial capacity among the regions to finance the need of the regions in implementation of decentralization. It is a discretionary block grant designed to equalize the fiscal capacities of sub-national governments. DAU is allocated based on a national formula and is the sum of a basic allocation (which is a portion of the sub-national budget spending on public servant salaries) and the “fiscal gap” of the sub-national government. The “fiscal gap” is the difference between the estimated fiscal needs and fiscal capacity of each region. Fiscal needs are based on regional variables such as population, area, GDP per capita, and human development index. Fiscal capacity is measured by a region’s own-source revenue and a fraction of total revenue-sharing.
The Revenue Sharing Fund (DBH) is a vertical equalization grant, which shares tax and natural resource revenues with all districts with a larger proportion of revenues going to resource-rich districts where the revenues originated. DBH consists of revenue sharing from natural resources (DBH SDA) and taxes (DBH Pajak). DBH SDA comes from fuel, natural gas and geothermal, mining, forestry and fishery.
The Revenue Sharing Fund (DBH) is a vertical equalization grant, which shares tax, natural resource, and tobacco excise revenues with all districts with a larger proportion of revenues going to resource-rich districts where the revenues originated. DBH consists of revenue sharing from natural resources, taxes, and tobacco excise.
The Revenue Sharing Fund (DBH) is a vertical equalization grant, which shares tax and natural resource revenues with all districts with a larger proportion of revenues going to resource-rich districts where the revenues originated. DBH consists of revenue sharing from natural resources and taxes. DBH Pajak come mainly from property tax , acquisition tax of land and buildings and income tax.
Rule of Law captures perceptions of the extent to which agents have confidence in and abide by the rules of society, and in particular the quality of contract enforcement, property rights, the police, and the courts, as well as the likelihood of crime and violence. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.
Rule of Law captures perceptions of the extent to which agents have confidence in and abide by the rules of society, and in particular the quality of contract enforcement, property rights, the police, and the courts, as well as the likelihood of crime and violence. Number of sources indicates the number of underlying data sources on which the aggregate estimate is based.
Rule of Law captures perceptions of the extent to which agents have confidence in and abide by the rules of society, and in particular the quality of contract enforcement, property rights, the police, and the courts, as well as the likelihood of crime and violence. Percentile rank indicates the country's rank among all countries covered by the aggregate indicator, with 0 corresponding to lowest rank, and 100 to highest rank.  Percentile ranks have been adjusted to correct for changes over time in the composition of the countries covered by the WGI.
Rule of Law captures perceptions of the extent to which agents have confidence in and abide by the rules of society, and in particular the quality of contract enforcement, property rights, the police, and the courts, as well as the likelihood of crime and violence. Percentile rank indicates the country's rank among all countries covered by the aggregate indicator, with 0 corresponding to lowest rank, and 100 to highest rank.  Percentile ranks have been adjusted to correct for changes over time in the composition of the countries covered by the WGI.  Percentile Rank Lower refers to lower bound of 90 percent confidence interval for governance, expressed in percentile rank terms.
Rule of Law captures perceptions of the extent to which agents have confidence in and abide by the rules of society, and in particular the quality of contract enforcement, property rights, the police, and the courts, as well as the likelihood of crime and violence. Percentile rank indicates the country's rank among all countries covered by the aggregate indicator, with 0 corresponding to lowest rank, and 100 to highest rank.  Percentile ranks have been adjusted to correct for changes over time in the composition of the countries covered by the WGI.    Percentile Rank Upper refers to upper bound of 90 percent confidence interval for governance, expressed in percentile rank terms.
Rule of Law captures perceptions of the extent to which agents have confidence in and abide by the rules of society, and in particular the quality of contract enforcement, property rights, the police, and the courts, as well as the likelihood of crime and violence. Standard error indicates the precision of the estimate of governance.  Larger values of the standard error indicate less precise estimates.  A 90 percent confidence interval for the governance estimate is given by the estimate +/- 1.64 times the standard error.
Regulatory Quality captures perceptions of the ability of the government to formulate and implement sound policies and regulations that permit and promote private sector development. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.
Regulatory Quality captures perceptions of the ability of the government to formulate and implement sound policies and regulations that permit and promote private sector development. umber of sources indicates the number of underlying data sources on which the aggregate estimate is based.
Regulatory Quality captures perceptions of the ability of the government to formulate and implement sound policies and regulations that permit and promote private sector development. Percentile rank indicates the country's rank among all countries covered by the aggregate indicator, with 0 corresponding to lowest rank, and 100 to highest rank.  Percentile ranks have been adjusted to correct for changes over time in the composition of the countries covered by the WGI.
Regulatory Quality captures perceptions of the ability of the government to formulate and implement sound policies and regulations that permit and promote private sector development. Percentile rank indicates the country's rank among all countries covered by the aggregate indicator, with 0 corresponding to lowest rank, and 100 to highest rank.  Percentile ranks have been adjusted to correct for changes over time in the composition of the countries covered by the WGI.  Percentile Rank Lower refers to lower bound of 90 percent confidence interval for governance, expressed in percentile rank terms.
Regulatory Quality captures perceptions of the ability of the government to formulate and implement sound policies and regulations that permit and promote private sector development. Percentile rank indicates the country's rank among all countries covered by the aggregate indicator, with 0 corresponding to lowest rank, and 100 to highest rank.  Percentile ranks have been adjusted to correct for changes over time in the composition of the countries covered by the WGI.  Percentile Rank Upper refers to upper bound of 90 percent confidence interval for governance, expressed in percentile rank terms.
Regulatory Quality captures perceptions of the ability of the government to formulate and implement sound policies and regulations that permit and promote private sector development. Standard error indicates the precision of the estimate of governance.  Larger values of the standard error indicate less precise estimates.  A 90 percent confidence interval for the governance estimate is given by the estimate +/- 1.64 times the standard error.
Denotes the total number of life insurance policy holders (resident) that are resident nonfinancial corporations (public and private) and households for every 1,000 adults in the reporting country. Calculated as (number of life insurance policy holders)*1
Denotes the total number of non-life insurance policy holders (resident) that are resident nonfinancial corporations (public and private) and households for every 1,000 adults in the reporting country. Calculated as (number of non-life insurance policy ho
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
Data Interpretation: 1=Latent; 2=Emerging; 3=Established; 4=Advanced. For additional information, visit the SABER: (website: http://saber.worldbank.org/index.cfm
The percentage of respondents who report personally saving or setting aside any money for any reason and using any mode of saving in the past year.
The percentage of respondents who report personally saving or setting aside any money for any reason and using any mode of saving in the past year, female (% age 15+)
The percentage of respondents who report personally saving or setting aside any money for any reason and using any mode of saving in the past year, urban (% age 15+)
The percentage of respondents who report personally saving or setting aside any money for any reason and using any mode of saving in the past year, out of labor force (% age 15+)
The percentage of respondents who report personally saving or setting aside any money for any reason and using any mode of saving in the past year, in labor force (% age 15+)
The percentage of respondents who report personally saving or setting aside any money for any reason and using any mode of saving in the past year, male (% age 15+)
The percentage of respondents who report personally saving or setting aside any money for any reason and using any mode of saving in the past year, young (% ages 15-24)
The percentage of respondents who report personally saving or setting aside any money for any reason and using any mode of saving in the past year, older (% age 25+)
The percentage of respondents who report personally saving or setting aside any money for any reason and using any mode of saving in the past year, primary education or less (% ages 15+)
The percentage of respondents who report personally saving or setting aside any money for any reason and using any mode of saving in the past year, secondary education or more (% ages 15+)
The percentage of respondents who report personally saving or setting aside any money for any reason and using any mode of saving in the past year, poorest 40% (% ages 15+)
The percentage of respondents who report personally saving or setting aside any money for any reason and using any mode of saving in the past year, richest 60% (% ages 15+)
The percentage of respondents who report personally saving or setting aside any money for any reason and using any mode of saving in the past year, rural (% age 15+)
Youth literacy rate is the percentage of people ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.
Gender parity index for youth literacy rate is the ratio of females to males ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.
Youth literacy rate is the percentage of people ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.
Youth literacy rate is the percentage of people ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.
Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life.
Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life.
Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life.
Learning Deprivation Gap, that measures the average distance of a learning deprived child to the minimum proficiency level and indicates the average increase in learning required to eliminate learning deprivation.
Learning Deprivation Gap, that measures the average distance of a learning deprived child to the minimum proficiency level and indicates the average increase in learning required to eliminate learning deprivation.
Learning Deprivation Gap, that measures the average distance of a learning deprived child to the minimum proficiency level and indicates the average increase in learning required to eliminate learning deprivation.
Learning Deprivation Gap, that measures the average distance of a learning deprived child to the minimum proficiency level and indicates the average increase in learning required to eliminate learning deprivation.
Learning Deprivation Gap, that measures the average distance of a learning deprived child to the minimum proficiency level and indicates the average increase in learning required to eliminate learning deprivation.
Learning Deprivation Gap, that measures the average distance of a learning deprived child to the minimum proficiency level and indicates the average increase in learning required to eliminate learning deprivation.
Learning Deprivation Gap, that measures the average distance of a learning deprived child to the minimum proficiency level and indicates the average increase in learning required to eliminate learning deprivation.
Learning Deprivation Gap, that measures the average distance of a learning deprived child to the minimum proficiency level and indicates the average increase in learning required to eliminate learning deprivation.
Learning Deprivation Gap, that measures the average distance of a learning deprived child to the minimum proficiency level and indicates the average increase in learning required to eliminate learning deprivation.
Learning Deprivation Gap, that measures the average distance of a learning deprived child to the minimum proficiency level and indicates the average increase in learning required to eliminate learning deprivation.
Learning Deprivation Gap, that measures the average distance of a learning deprived child to the minimum proficiency level and indicates the average increase in learning required to eliminate learning deprivation.
Learning Deprivation Gap, that measures the average distance of a learning deprived child to the minimum proficiency level and indicates the average increase in learning required to eliminate learning deprivation.
Learning Deprivation Gap, that measures the average distance of a learning deprived child to the minimum proficiency level and indicates the average increase in learning required to eliminate learning deprivation.
Learning Deprivation Gap, that measures the average distance of a learning deprived child to the minimum proficiency level and indicates the average increase in learning required to eliminate learning deprivation.
Learning Deprivation Gap, that measures the average distance of a learning deprived child to the minimum proficiency level and indicates the average increase in learning required to eliminate learning deprivation.
Learning Deprivation Gap, that measures the average distance of a learning deprived child to the minimum proficiency level and indicates the average increase in learning required to eliminate learning deprivation.
Learning Deprivation Gap, that measures the average distance of a learning deprived child to the minimum proficiency level and indicates the average increase in learning required to eliminate learning deprivation.
Learning Deprivation Gap, that measures the average distance of a learning deprived child to the minimum proficiency level and indicates the average increase in learning required to eliminate learning deprivation.
Learning Deprivation Gap, that measures the average distance of a learning deprived child to the minimum proficiency level and indicates the average increase in learning required to eliminate learning deprivation.
Learning Deprivation Gap, that measures the average distance of a learning deprived child to the minimum proficiency level and indicates the average increase in learning required to eliminate learning deprivation.
Learning Deprivation Gap, that measures the average distance of a learning deprived child to the minimum proficiency level and indicates the average increase in learning required to eliminate learning deprivation.
Learning Deprivation Gap, that measures the average distance of a learning deprived child to the minimum proficiency level and indicates the average increase in learning required to eliminate learning deprivation.
Learning Deprivation Gap, that measures the average distance of a learning deprived child to the minimum proficiency level and indicates the average increase in learning required to eliminate learning deprivation.
Learning Deprivation Gap, that measures the average distance of a learning deprived child to the minimum proficiency level and indicates the average increase in learning required to eliminate learning deprivation.
Learning Deprivation Gap, that measures the average distance of a learning deprived child to the minimum proficiency level and indicates the average increase in learning required to eliminate learning deprivation.
Learning Deprivation Gap, that measures the average distance of a learning deprived child to the minimum proficiency level and indicates the average increase in learning required to eliminate learning deprivation.
Learning Deprivation Gap, that measures the average distance of a learning deprived child to the minimum proficiency level and indicates the average increase in learning required to eliminate learning deprivation.
Learning Deprivation Gap, that measures the average distance of a learning deprived child to the minimum proficiency level and indicates the average increase in learning required to eliminate learning deprivation.
Learning Deprivation Gap, that measures the average distance of a learning deprived child to the minimum proficiency level and indicates the average increase in learning required to eliminate learning deprivation.
Learning Deprivation Gap, that measures the average distance of a learning deprived child to the minimum proficiency level and indicates the average increase in learning required to eliminate learning deprivation.
Learning Deprivation Severity captures the inequality of learning among the learning deprived population and is the gap squared in relation to the minimum proficiency squared.
Learning Deprivation Severity captures the inequality of learning among the learning deprived population and is the gap squared in relation to the minimum proficiency squared.
Learning Deprivation Severity captures the inequality of learning among the learning deprived population and is the gap squared in relation to the minimum proficiency squared.
Learning Deprivation Severity captures the inequality of learning among the learning deprived population and is the gap squared in relation to the minimum proficiency squared.
Learning Deprivation Severity captures the inequality of learning among the learning deprived population and is the gap squared in relation to the minimum proficiency squared.
Learning Deprivation Severity captures the inequality of learning among the learning deprived population and is the gap squared in relation to the minimum proficiency squared.
Learning Deprivation Severity captures the inequality of learning among the learning deprived population and is the gap squared in relation to the minimum proficiency squared.
Learning Deprivation Severity captures the inequality of learning among the learning deprived population and is the gap squared in relation to the minimum proficiency squared.
Learning Deprivation Severity captures the inequality of learning among the learning deprived population and is the gap squared in relation to the minimum proficiency squared.
Learning Deprivation Severity captures the inequality of learning among the learning deprived population and is the gap squared in relation to the minimum proficiency squared.
Learning Deprivation Severity captures the inequality of learning among the learning deprived population and is the gap squared in relation to the minimum proficiency squared.
Learning Deprivation Severity captures the inequality of learning among the learning deprived population and is the gap squared in relation to the minimum proficiency squared.
Learning Deprivation Severity captures the inequality of learning among the learning deprived population and is the gap squared in relation to the minimum proficiency squared.
Learning Deprivation Severity captures the inequality of learning among the learning deprived population and is the gap squared in relation to the minimum proficiency squared.
Learning Deprivation Severity captures the inequality of learning among the learning deprived population and is the gap squared in relation to the minimum proficiency squared.
Learning Deprivation Severity captures the inequality of learning among the learning deprived population and is the gap squared in relation to the minimum proficiency squared.
Learning Deprivation Severity captures the inequality of learning among the learning deprived population and is the gap squared in relation to the minimum proficiency squared.
Learning Deprivation Severity captures the inequality of learning among the learning deprived population and is the gap squared in relation to the minimum proficiency squared.
Learning Deprivation Severity captures the inequality of learning among the learning deprived population and is the gap squared in relation to the minimum proficiency squared.
Learning Deprivation Severity captures the inequality of learning among the learning deprived population and is the gap squared in relation to the minimum proficiency squared.
Learning Deprivation Severity captures the inequality of learning among the learning deprived population and is the gap squared in relation to the minimum proficiency squared.
Learning Deprivation Severity captures the inequality of learning among the learning deprived population and is the gap squared in relation to the minimum proficiency squared.
Learning Deprivation Severity captures the inequality of learning among the learning deprived population and is the gap squared in relation to the minimum proficiency squared.
Learning Deprivation Severity captures the inequality of learning among the learning deprived population and is the gap squared in relation to the minimum proficiency squared.
Learning Deprivation Severity captures the inequality of learning among the learning deprived population and is the gap squared in relation to the minimum proficiency squared.
Learning Deprivation Severity captures the inequality of learning among the learning deprived population and is the gap squared in relation to the minimum proficiency squared.
Learning Deprivation Severity captures the inequality of learning among the learning deprived population and is the gap squared in relation to the minimum proficiency squared.
Learning Deprivation Severity captures the inequality of learning among the learning deprived population and is the gap squared in relation to the minimum proficiency squared.
Learning Deprivation Severity captures the inequality of learning among the learning deprived population and is the gap squared in relation to the minimum proficiency squared.
Learning Deprivation Severity captures the inequality of learning among the learning deprived population and is the gap squared in relation to the minimum proficiency squared.
This indicator uses the Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning (GAML) led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments. For more information please see Azevedo, Joao Pedro, and others. 2019. Will Every Child Be Able to Read by 2030? Why Eliminating Learning Poverty Will Be Harder Than You Think, and What to Do About It. World Bank Policy Research Working Paper series. Washington, DC: World Bank.
This indicator uses the Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning (GAML) led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments. For more information please see Azevedo, Joao Pedro, and others. 2019. Will Every Child Be Able to Read by 2030? Why Eliminating Learning Poverty Will Be Harder Than You Think, and What to Do About It. World Bank Policy Research Working Paper series. Washington, DC: World Bank.
This indicator uses the Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning (GAML) led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments. For more information please see Azevedo, Joao Pedro, and others. 2019. Will Every Child Be Able to Read by 2030? Why Eliminating Learning Poverty Will Be Harder Than You Think, and What to Do About It. World Bank Policy Research Working Paper series. Washington, DC: World Bank.
This indicator uses the Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning (GAML) led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments. For more information please see Azevedo, Joao Pedro, and others. 2019. Will Every Child Be Able to Read by 2030? Why Eliminating Learning Poverty Will Be Harder Than You Think, and What to Do About It. World Bank Policy Research Working Paper series. Washington, DC: World Bank.
This indicator uses the Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning (GAML) led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments. For more information please see Azevedo, Joao Pedro, and others. 2019. Will Every Child Be Able to Read by 2030? Why Eliminating Learning Poverty Will Be Harder Than You Think, and What to Do About It. World Bank Policy Research Working Paper series. Washington, DC: World Bank.
This indicator uses the Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning (GAML) led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments. For more information please see Azevedo, Joao Pedro, and others. 2019. Will Every Child Be Able to Read by 2030? Why Eliminating Learning Poverty Will Be Harder Than You Think, and What to Do About It. World Bank Policy Research Working Paper series. Washington, DC: World Bank.
This indicator uses the Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning (GAML) led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments. For more information please see Azevedo, Joao Pedro, and others. 2019. Will Every Child Be Able to Read by 2030? Why Eliminating Learning Poverty Will Be Harder Than You Think, and What to Do About It. World Bank Policy Research Working Paper series. Washington, DC: World Bank.
This indicator uses the Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning (GAML) led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments. For more information please see Azevedo, Joao Pedro, and others. 2019. Will Every Child Be Able to Read by 2030? Why Eliminating Learning Poverty Will Be Harder Than You Think, and What to Do About It. World Bank Policy Research Working Paper series. Washington, DC: World Bank.
This indicator uses the Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning (GAML) led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments. For more information please see Azevedo, Joao Pedro, and others. 2019. Will Every Child Be Able to Read by 2030? Why Eliminating Learning Poverty Will Be Harder Than You Think, and What to Do About It. World Bank Policy Research Working Paper series. Washington, DC: World Bank.
This indicator uses the Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning (GAML) led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments. For more information please see Azevedo, Joao Pedro, and others. 2019. Will Every Child Be Able to Read by 2030? Why Eliminating Learning Poverty Will Be Harder Than You Think, and What to Do About It. World Bank Policy Research Working Paper series. Washington, DC: World Bank.
This indicator uses the Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning (GAML) led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments. For more information please see Azevedo, Joao Pedro, and others. 2019. Will Every Child Be Able to Read by 2030? Why Eliminating Learning Poverty Will Be Harder Than You Think, and What to Do About It. World Bank Policy Research Working Paper series. Washington, DC: World Bank.
This indicator uses the Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning (GAML) led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments. For more information please see Azevedo, Joao Pedro, and others. 2019. Will Every Child Be Able to Read by 2030? Why Eliminating Learning Poverty Will Be Harder Than You Think, and What to Do About It. World Bank Policy Research Working Paper series. Washington, DC: World Bank.
This indicator uses the Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning (GAML) led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments. For more information please see Azevedo, Joao Pedro, and others. 2019. Will Every Child Be Able to Read by 2030? Why Eliminating Learning Poverty Will Be Harder Than You Think, and What to Do About It. World Bank Policy Research Working Paper series. Washington, DC: World Bank.
This indicator uses the Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning (GAML) led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments. For more information please see Azevedo, Joao Pedro, and others. 2019. Will Every Child Be Able to Read by 2030? Why Eliminating Learning Poverty Will Be Harder Than You Think, and What to Do About It. World Bank Policy Research Working Paper series. Washington, DC: World Bank.
This indicator uses the Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning (GAML) led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments. For more information please see Azevedo, Joao Pedro, and others. 2019. Will Every Child Be Able to Read by 2030? Why Eliminating Learning Poverty Will Be Harder Than You Think, and What to Do About It. World Bank Policy Research Working Paper series. Washington, DC: World Bank.
This indicator uses the Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning (GAML) led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments. For more information please see Azevedo, Joao Pedro, and others. 2019. Will Every Child Be Able to Read by 2030? Why Eliminating Learning Poverty Will Be Harder Than You Think, and What to Do About It. World Bank Policy Research Working Paper series. Washington, DC: World Bank.
This indicator uses the Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning (GAML) led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments. For more information please see Azevedo, Joao Pedro, and others. 2019. Will Every Child Be Able to Read by 2030? Why Eliminating Learning Poverty Will Be Harder Than You Think, and What to Do About It. World Bank Policy Research Working Paper series. Washington, DC: World Bank.
This indicator uses the Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning (GAML) led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments. For more information please see Azevedo, Joao Pedro, and others. 2019. Will Every Child Be Able to Read by 2030? Why Eliminating Learning Poverty Will Be Harder Than You Think, and What to Do About It. World Bank Policy Research Working Paper series. Washington, DC: World Bank.
This indicator uses the Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning (GAML) led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments. For more information please see Azevedo, Joao Pedro, and others. 2019. Will Every Child Be Able to Read by 2030? Why Eliminating Learning Poverty Will Be Harder Than You Think, and What to Do About It. World Bank Policy Research Working Paper series. Washington, DC: World Bank.
This indicator uses the Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning (GAML) led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments. For more information please see Azevedo, Joao Pedro, and others. 2019. Will Every Child Be Able to Read by 2030? Why Eliminating Learning Poverty Will Be Harder Than You Think, and What to Do About It. World Bank Policy Research Working Paper series. Washington, DC: World Bank.
This indicator uses the Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning (GAML) led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments. For more information please see Azevedo, Joao Pedro, and others. 2019. Will Every Child Be Able to Read by 2030? Why Eliminating Learning Poverty Will Be Harder Than You Think, and What to Do About It. World Bank Policy Research Working Paper series. Washington, DC: World Bank.
This indicator uses the Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning (GAML) led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments. For more information please see Azevedo, Joao Pedro, and others. 2019. Will Every Child Be Able to Read by 2030? Why Eliminating Learning Poverty Will Be Harder Than You Think, and What to Do About It. World Bank Policy Research Working Paper series. Washington, DC: World Bank.
This indicator uses the Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning (GAML) led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments. For more information please see Azevedo, Joao Pedro, and others. 2019. Will Every Child Be Able to Read by 2030? Why Eliminating Learning Poverty Will Be Harder Than You Think, and What to Do About It. World Bank Policy Research Working Paper series. Washington, DC: World Bank.
This indicator uses the Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning (GAML) led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments. For more information please see Azevedo, Joao Pedro, and others. 2019. Will Every Child Be Able to Read by 2030? Why Eliminating Learning Poverty Will Be Harder Than You Think, and What to Do About It. World Bank Policy Research Working Paper series. Washington, DC: World Bank.
This indicator uses the Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning (GAML) led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments. For more information please see Azevedo, Joao Pedro, and others. 2019. Will Every Child Be Able to Read by 2030? Why Eliminating Learning Poverty Will Be Harder Than You Think, and What to Do About It. World Bank Policy Research Working Paper series. Washington, DC: World Bank.
This indicator uses the Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning (GAML) led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments. For more information please see Azevedo, Joao Pedro, and others. 2019. Will Every Child Be Able to Read by 2030? Why Eliminating Learning Poverty Will Be Harder Than You Think, and What to Do About It. World Bank Policy Research Working Paper series. Washington, DC: World Bank.
This indicator uses the Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning (GAML) led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments. For more information please see Azevedo, Joao Pedro, and others. 2019. Will Every Child Be Able to Read by 2030? Why Eliminating Learning Poverty Will Be Harder Than You Think, and What to Do About It. World Bank Policy Research Working Paper series. Washington, DC: World Bank.
This indicator uses the Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning (GAML) led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments. For more information please see Azevedo, Joao Pedro, and others. 2019. Will Every Child Be Able to Read by 2030? Why Eliminating Learning Poverty Will Be Harder Than You Think, and What to Do About It. World Bank Policy Research Working Paper series. Washington, DC: World Bank.
This indicator uses the Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning (GAML) led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments. For more information please see Azevedo, Joao Pedro, and others. 2019. Will Every Child Be Able to Read by 2030? Why Eliminating Learning Poverty Will Be Harder Than You Think, and What to Do About It. World Bank Policy Research Working Paper series. Washington, DC: World Bank.
This indicator uses the Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning (GAML) led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments. For more information please see Azevedo, Joao Pedro, and others. 2019. Will Every Child Be Able to Read by 2030? Why Eliminating Learning Poverty Will Be Harder Than You Think, and What to Do About It. World Bank Policy Research Working Paper series. Washington, DC: World Bank.
Duration of compulsory education is the number of years that children are legally obliged to attend school.
Ratio of school attendance of orphans to school attendance of non orphans is the ratio of school attendance of orphans to school attendance of non orphans ages 10-14.
Gender parity index for gross enrollment ratio in primary education is the ratio of girls to boys enrolled at primary level in public and private schools.
Gender parity index for gross enrollment ratio in primary and secondary education is the ratio of girls to boys enrolled at primary and secondary levels in public and private schools.
Gender parity index for gross enrollment ratio in secondary education is the ratio of girls to boys enrolled at secondary level in public and private schools.
Gender parity index for gross enrollment ratio in tertiary education is the ratio of women to men enrolled at tertiary level in public and private schools.
The primary net enrolment ratio is a comparative figure for the number of primary school students to the number of population aged 7-12, expressed as a percentage.
Literacy Rate is the population aged 15 years and over who are able to read and write latin, arabic or other scripts, presented in percentage terms.
The share of 10-year-olds who cannot read and understand a short passage of age-appropriate material—in other words, those who are below the “minimum proficiency” threshold for reading. This measure is defined as the union of two deprivations: 1) schooling deprivation and 2) learning deprivation. A child is considered schooling-deprived (SD) if he or she is of primary school age and out-of-school. The dimension of learning deprivation (LD) applies only for children in school, and identifies those pupils who are below the minimum proficiency level (MPL) for reading, as defined by the Global Alliance to Monitor Learning (GAML), measured in standard learning assessments, and reported in the context of the SDG 4.1.1b monitoring. This “union approach” to measurement reflects the choice that, as presented in the SDGs, all age 10 children must be both in school and learning. The final learning poverty measure combines the two dimensions in a single indicator using the following formula: LP = SD + [(1-SD) x LD]
The share of female 10-year-olds who cannot read and understand a short passage of age-appropriate material—in other words, those who are below the “minimum proficiency” threshold for reading. This measure is defined as the union of two deprivations: 1) schooling deprivation and 2) learning deprivation. A child is considered schooling-deprived (SD) if he or she is of primary school age and out-of-school. The dimension of learning deprivation (LD) applies only for children in school, and identifies those pupils who are below the minimum proficiency level (MPL) for reading, as defined by the Global Alliance to Monitor Learning (GAML), measured in standard learning assessments, and reported in the context of the SDG 4.1.1b monitoring. This “union approach” to measurement reflects the choice that, as presented in the SDGs, all age 10 children must be both in school and learning. The final learning poverty measure combines the two dimensions in a single indicator using the following formula: LP = SD + [(1-SD) x LD]
The share of pupils at the end of primary schooling who are below the minimum proficiency level (MPL) for reading or learning deprived. The MPL in reading at the end of primary is defined by the Global Alliance to Monitor Learning (GAML), measured in standard learning assessments, and reported in the context of the SDG 4.1.1b monitoring. It is “Students independently and fluently read simple, short narrative and expository texts. They locate explicitly-stated information. They interpret and give some explanations about the key ideas in these texts. They provide simple, personal opinions or judgements about the information, events and characters in a text.” (UIS and GAML 2019). In other words, a child “attaining” minimum proficiency has the ability to read and understand a short passage of age-appropriate material, whether a simple story or non-fiction narrative of a few paragraphs. In addition to this nutshell statement, the GAML has also proposed a common terminology to describe classifications in the context of the MPL. This is a critical first step toward linking cross-national and national learning assessments with a common benchmark.
The share of female pupils at the end of primary schooling who are below the minimum proficiency level (MPL) for reading or learning deprived. The MPL in reading at the end of primary is defined by the Global Alliance to Monitor Learning (GAML), measured in standard learning assessments, and reported in the context of the SDG 4.1.1b monitoring. It is “Students independently and fluently read simple, short narrative and expository texts. They locate explicitly-stated information. They interpret and give some explanations about the key ideas in these texts. They provide simple, personal opinions or judgements about the information, events and characters in a text.” (UIS and GAML 2019). In other words, a child “attaining” minimum proficiency has the ability to read and understand a short passage of age-appropriate material, whether a simple story or non-fiction narrative of a few paragraphs. In addition to this nutshell statement, the GAML has also proposed a common terminology to describe classifications in the context of the MPL. This is a critical first step toward linking cross-national and national learning assessments with a common benchmark.
The share of male pupils at the end of primary schooling who are below the minimum proficiency level (MPL) for reading or learning deprived. The MPL in reading at the end of primary is defined by the Global Alliance to Monitor Learning (GAML), measured in standard learning assessments, and reported in the context of the SDG 4.1.1b monitoring. It is “Students independently and fluently read simple, short narrative and expository texts. They locate explicitly-stated information. They interpret and give some explanations about the key ideas in these texts. They provide simple, personal opinions or judgements about the information, events and characters in a text.” (UIS and GAML 2019). In other words, a child “attaining” minimum proficiency has the ability to read and understand a short passage of age-appropriate material, whether a simple story or non-fiction narrative of a few paragraphs. In addition to this nutshell statement, the GAML has also proposed a common terminology to describe classifications in the context of the MPL. This is a critical first step toward linking cross-national and national learning assessments with a common benchmark.
The share of male 10-year-olds who cannot read and understand a short passage of age-appropriate material—in other words, those who are below the “minimum proficiency” threshold for reading. This measure is defined as the union of two deprivations: 1) schooling deprivation and 2) learning deprivation. A child is considered schooling-deprived (SD) if he or she is of primary school age and out-of-school. The dimension of learning deprivation (LD) applies only for children in school, and identifies those pupils who are below the minimum proficiency level (MPL) for reading, as defined by the Global Alliance to Monitor Learning (GAML), measured in standard learning assessments, and reported in the context of the SDG 4.1.1b monitoring. This “union approach” to measurement reflects the choice that, as presented in the SDGs, all age 10 children must be both in school and learning. The final learning poverty measure combines the two dimensions in a single indicator using the following formula: LP = SD + [(1-SD) x LD]
The share of children of primary-school age who are out of school or schooling deprived. This dimension is linked to the indicator 4.1.4 from the SDG 4 thematic framework. This element reflects the belief that all primary-age children should be learning in schools of some type, a belief that every country has enshrined in law and that is enshrined in the SDGs. In addition to fulfilling a universal right and serving as a necessary condition for sustained learning, schooling offers many benefits beyond learning. It contributes to children’s health and well-being such as promoting safety, nutrition, and socialization, and facilitating parents' labor market participation and, at the macro level, schooling can help build social cohesion, democracy, and peace. All those complementary functions mean that schooling has value over and above the measured cognitive learning that it leads to, and they justify including schooling deprivation in the concept of learning poverty.
The share of female children of primary-school age who are out of school or schooling deprived. This dimension is linked to the indicator 4.1.4 from the SDG 4 thematic framework. This element reflects the belief that all primary-age children should be learning in schools of some type, a belief that every country has enshrined in law and that is enshrined in the SDGs. In addition to fulfilling a universal right and serving as a necessary condition for sustained learning, schooling offers many benefits beyond learning. It contributes to children’s health and well-being such as promoting safety, nutrition, and socialization, and facilitating parents' labor market participation and, at the macro level, schooling can help build social cohesion, democracy, and peace. All those complementary functions mean that schooling has value over and above the measured cognitive learning that it leads to, and they justify including schooling deprivation in the concept of learning poverty.
The share of male children of primary-school age who are out of school or schooling deprived. This dimension is linked to the indicator 4.1.4 from the SDG 4 thematic framework. This element reflects the belief that all primary-age children should be learning in schools of some type, a belief that every country has enshrined in law and that is enshrined in the SDGs. In addition to fulfilling a universal right and serving as a necessary condition for sustained learning, schooling offers many benefits beyond learning. It contributes to children’s health and well-being such as promoting safety, nutrition, and socialization, and facilitating parents' labor market participation and, at the macro level, schooling can help build social cohesion, democracy, and peace. All those complementary functions mean that schooling has value over and above the measured cognitive learning that it leads to, and they justify including schooling deprivation in the concept of learning poverty.
Preprimary duration refers to the number of grades (years) in preprimary school.
Preprimary school pupil-teacher ratio is the average number of pupils per teacher in preprimary school.
Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Preprimary education refers to programs at the initial stage of organized instruction, designed primarily to introduce very young children to a school-type environment and to provide a bridge between home and school.
Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Preprimary education refers to programs at the initial stage of organized instruction, designed primarily to introduce very young children to a school-type environment and to provide a bridge between home and school.
Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Preprimary education refers to programs at the initial stage of organized instruction, designed primarily to introduce very young children to a school-type environment and to provide a bridge between home and school.
Trained teachers in preprimary education are the percentage of preprimary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.
Trained teachers in preprimary education are the percentage of preprimary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.
Trained teachers in preprimary education are the percentage of preprimary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.
Primary school starting age is the age at which students would enter primary education, assuming they had started at the official entrance age for the lowest level of education, had studied full-time throughout and had progressed through the system without repeating or skipping a grade.
Primary completion rate is the percentage of students completing the last year of primary school. The rate based on completers is calculated by taking the total number of completers in the last grade of primary school divided by the total number of children of official graduation age.
Primary completion rate is the percentage of students completing the last year of primary school. The rate based on completers is calculated by taking the total number of completers in the last grade of primary school divided by the total number of children of official graduation age.
Primary completion rate is the percentage of students completing the last year of primary school. The rate based on completers is calculated by taking the total number of completers in the last grade of primary school divided by the total number of children of official graduation age.
Primary completion rate. Female is the total number of female students of any age in the last grade of primary school, minus the number of female repeaters in that grade, divided by the number of female children of official graduation age.
Primary completion rate. Male is the total number of male students of any age in the last grade of primary school, minus the number of male repeaters in that grade, divided by the number of male children of official graduation age.
Primary completion rate. Quintile 1 (lowest) is the total number of quintile 1 students of any age in the last grade of primary school, minus the number of quintile 1 repeaters in that grade, divided by the number of quintile 1 children of official graduation age.
Primary completion rate. Quintile 5 (highest) is the total number of quintile 5 students of any age in the last grade of primary school, minus the number of quintile 5 repeaters in that grade, divided by the number of quintile 5 children of official graduation age.
Primary completion rate. Rural is the total number of rural students of any age in the last grade of primary school, minus the number of rural repeaters in that grade, divided by the number of rural children of official graduation age.
Primary completion rate. Urban is the total number of urban students of any age in the last grade of primary school, minus the number of urban repeaters in that grade, divided by the number of urban children of official graduation age.
Primary completion rate, or gross intake ratio to the last grade of primary education, is the number of new entrants (enrollments minus repeaters) in the last grade of primary education, regardless of age, divided by the population at the entrance age for the last grade of primary education. Data limitations preclude adjusting for students who drop out during the final year of primary education.
Primary completion rate, or gross intake ratio to the last grade of primary education, is the number of new entrants (enrollments minus repeaters) in the last grade of primary education, regardless of age, divided by the population at the entrance age for the last grade of primary education. Data limitations preclude adjusting for students who drop out during the final year of primary education.
Primary completion rate, or gross intake ratio to the last grade of primary education, is the number of new entrants (enrollments minus repeaters) in the last grade of primary education, regardless of age, divided by the population at the entrance age for the last grade of primary education. Data limitations preclude adjusting for students who drop out during the final year of primary education.
The percentage of population ages 25 and over that attained or completed primary education.
The percentage of population ages 25 and over that attained or completed primary education.
The percentage of population ages 25 and over that attained or completed primary education.
Primary duration refers to the number of grades (years) in primary school.
Primary education pupils is the total number of pupils enrolled at primary level in public and private schools.
Female pupils as a percentage of total pupils at primary level include enrollments in public and private schools.
Primary school pupil-teacher ratio is the average number of pupils per teacher in primary school.
Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.
Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.
Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.
Gross intake ratio in first grade of primary education is the number of new entrants in the first grade of primary education regardless of age, expressed as a percentage of the population of the official primary entrance age.
Gross intake ratio in first grade of primary education is the number of new entrants in the first grade of primary education regardless of age, expressed as a percentage of the population of the official primary entrance age.
Gross intake ratio in first grade of primary education is the number of new entrants in the first grade of primary education regardless of age, expressed as a percentage of the population of the official primary entrance age.
Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.
Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.
Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.
The senior secondary net enrolment ratio is a comparative figure for the number of senior secondary school students to the number of population aged 16-18, expressed as a percentage.
Net intake rate in grade 1 is the number of new entrants in the first grade of primary education who are of official primary school entrance age, expressed as a percentage of the population of the corresponding age.
Net intake rate in grade 1 is the number of new entrants in the first grade of primary education who are of official primary school entrance age, expressed as a percentage of the population of the corresponding age.
Net intake rate in grade 1 is the number of new entrants in the first grade of primary education who are of official primary school entrance age, expressed as a percentage of the population of the corresponding age.
Over-age students are the percentage of those enrolled who are older than the official school-age range for primary education.
Over-age students are the percentage of those enrolled who are older than the official school-age range for primary education.
Over-age students are the percentage of those enrolled who are older than the official school-age range for primary education.
Private enrollment refers to pupils or students enrolled in institutions that are not operated by a public authority but controlled and managed, whether for profit or not, by a private body such as a nongovernmental organization, religious body, special interest group, foundation or business enterprise.
Persistence to grade 5 (percentage of cohort reaching grade 5) is the share of children enrolled in the first grade of primary school who eventually reach grade 5. The estimate is based on the reconstructed cohort method.
Persistence to grade 5 (percentage of cohort reaching grade 5) is the share of children enrolled in the first grade of primary school who eventually reach grade 5. The estimate is based on the reconstructed cohort method.
Persistence to grade 5 (percentage of cohort reaching grade 5) is the share of children enrolled in the first grade of primary school who eventually reach grade 5. The estimate is based on the reconstructed cohort method.
Persistence to last grade of primary is the percentage of children enrolled in the first grade of primary school who eventually reach the last grade of primary education. The estimate is based on the reconstructed cohort method.
Persistence to last grade of primary is the percentage of children enrolled in the first grade of primary school who eventually reach the last grade of primary education. The estimate is based on the reconstructed cohort method.
Persistence to last grade of primary is the percentage of children enrolled in the first grade of primary school who eventually reach the last grade of primary education. The estimate is based on the reconstructed cohort method.
Repeaters in primary school are the number of students enrolled in the same grade as in the previous year, as a percentage of all students enrolled in primary school.
Repeaters in primary school are the number of students enrolled in the same grade as in the previous year, as a percentage of all students enrolled in primary school.
Repeaters in primary school are the number of students enrolled in the same grade as in the previous year, as a percentage of all students enrolled in primary school.
Trained teachers in primary education are the percentage of primary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.
Trained teachers in primary education are the percentage of primary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.
Trained teachers in primary education are the percentage of primary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.
Primary education teachers includes full-time and part-time teachers.
Female teachers as a percentage of total primary education teachers includes full-time and part-time teachers.
Adjusted net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group.
Adjusted net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group.
Adjusted net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group.
Children out of school are the number of primary-school-age children not enrolled in primary or secondary school.
Children out of school are the number of primary-school-age children not enrolled in primary or secondary school.
Children out of school are the percentage of primary-school-age children who are not enrolled in primary or secondary school. Children in the official primary age group that are in preprimary education should be considered out of school.
Children out of school are the number of primary-school-age children not enrolled in primary or secondary school.
Children out of school are the percentage of primary-school-age children who are not enrolled in primary or secondary school. Children in the official primary age group that are in preprimary education should be considered out of school.
Proportion of out-of-school. Primary. Quintile 1 (lowest) is the number of quintile 1 children in the official primary school age range who are not attending primary or secondary education, expressed as a percentage of quintile 1 children of the official primary school age range. By definition, children in the official primary-age range, who are attending pre-primary education, are considered out-of-school.
Proportion of out-of-school. Primary. Quintile 5 (highest) is the number of quintile 5 children in the official primary school age range who are not attending primary or secondary education, expressed as a percentage of quintile 5 children of the official primary school age range. By definition, children in the official primary-age range, who are attending pre-primary education, are considered out-of-school.
Children out of school are the percentage of primary-school-age children who are not enrolled in primary or secondary school. Children in the official primary age group that are in preprimary education should be considered out of school.
Lower secondary school starting age is the age at which students would enter lower secondary education, assuming they had started at the official entrance age for the lowest level of education, had studied full-time throughout and had progressed through the system without repeating or skipping a grade.
Lower secondary education completion rate is measured as the gross intake ratio to the last grade of lower secondary education (general and pre-vocational). It is calculated as the number of new entrants in the last grade of lower secondary education, regardless of age, divided by the population at the entrance age for the last grade of lower secondary education.
Lower secondary education completion rate is measured as the gross intake ratio to the last grade of lower secondary education (general and pre-vocational). It is calculated as the number of new entrants in the last grade of lower secondary education, regardless of age, divided by the population at the entrance age for the last grade of lower secondary education.
Lower secondary education completion rate is measured as the gross intake ratio to the last grade of lower secondary education (general and pre-vocational). It is calculated as the number of new entrants in the last grade of lower secondary education, regardless of age, divided by the population at the entrance age for the last grade of lower secondary education.
The percentage of population ages 25 and over that attained or completed lower secondary education.
The percentage of population ages 25 and over that attained or completed lower secondary education.
The percentage of population ages 25 and over that attained or completed lower secondary education.
The percentage of population ages 25 and over that attained or completed post-secondary non-tertiary education.
The percentage of population ages 25 and over that attained or completed post-secondary non-tertiary education.
The percentage of population ages 25 and over that attained or completed post-secondary non-tertiary education.
The percentage of population ages 25 and over that attained or completed upper secondary education.
The percentage of population ages 25 and over that attained or completed upper secondary education.
The percentage of population ages 25 and over that attained or completed upper secondary education.
Secondary duration refers to the number of grades (years) in secondary school.
Secondary education pupils is the total number of pupils enrolled at secondary level in public and private schools.
Total number of female students enrolled in vocational programmes at the secondary education level, expressed as a percentage of the total number of female students enrolled in all programmes (vocational and general) at the secondary level. Vocational education is designed for learners to acquire the knowledge, skills and competencies specific to a particular occupation or trade or class of occupations or trades. Vocational education may have work-based components (e.g. apprenticeships). Successful completion of such programmes leads to labour-market relevant vocational qualifications acknowledged as occupationally-oriented by the relevant national authorities and/or the labour market.
Female pupils as a percentage of total pupils at secondary level includes enrollments in public and private schools.
Secondary general pupils are the number of secondary students enrolled in general education programs, including teacher training.
Secondary general pupils are the number of secondary students enrolled in general education programs, including teacher training.
Lower secondary school pupil-teacher ratio is the average number of pupils per teacher in lower secondary school.
Total number of male students enrolled in vocational programmes at the secondary education level, expressed as a percentage of the total number of male students enrolled in all programmes (vocational and general) at the secondary level. Vocational education is designed for learners to acquire the knowledge, skills and competencies specific to a particular occupation or trade or class of occupations or trades. Vocational education may have work-based components (e.g. apprenticeships). Successful completion of such programmes leads to labour-market relevant vocational qualifications acknowledged as occupationally-oriented by the relevant national authorities and/or the labour market.
Secondary school pupil-teacher ratio is the average number of pupils per teacher in secondary school.
Upper secondary school pupil-teacher ratio is the average number of pupils per teacher in upper secondary school.
Secondary vocational pupils are the number of secondary students enrolled in technical and vocational education programs, including teacher training.
Secondary vocational pupils are the number of secondary students enrolled in technical and vocational education programs, including teacher training.
Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.
Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.
Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.
Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.
Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.
Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.
Private enrollment refers to pupils or students enrolled in institutions that are not operated by a public authority but controlled and managed, whether for profit or not, by a private body such as a nongovernmental organization, religious body, special interest group, foundation or business enterprise.
Progression to secondary school refers to the number of new entrants to the first grade of secondary school in a given year as a percentage of the number of students enrolled in the final grade of primary school in the previous year (minus the number of repeaters from the last grade of primary education in the given year).
Progression to secondary school refers to the number of new entrants to the first grade of secondary school in a given year as a percentage of the number of students enrolled in the final grade of primary school in the previous year (minus the number of repeaters from the last grade of primary education in the given year).
Progression to secondary school refers to the number of new entrants to the first grade of secondary school in a given year as a percentage of the number of students enrolled in the final grade of primary school in the previous year (minus the number of repeaters from the last grade of primary education in the given year).
Repeaters in secondary school are the number of students enrolled in the same grade as in the previous year, as a percentage of all students enrolled in secondary school.
Repeaters in secondary school are the number of students enrolled in the same grade as in the previous year, as a percentage of all students enrolled in secondary school.
Repeaters in secondary school are the number of students enrolled in the same grade as in the previous year, as a percentage of all students enrolled in secondary school.
Trained teachers in secondary education are the percentage of secondary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.
Trained teachers in lower secondary education are the percentage of lower secondary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.
Trained teachers in lower secondary education are the percentage of lower secondary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.
Trained teachers in lower secondary education are the percentage of lower secondary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.
Trained teachers in secondary education are the percentage of secondary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.
Trained teachers in upper secondary education are the percentage of upper secondary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.
Trained teachers in upper secondary education are the percentage of upper secondary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.
Trained teachers in upper secondary education are the percentage of upper secondary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.
Trained teachers in secondary education are the percentage of secondary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.
Secondary education teachers includes full-time and part-time teachers.
Secondary education teachers includes full-time and part-time teachers.
Female teachers as a percentage of total secondary education teachers includes full-time and part-time teachers.
Adolescents out of school are the percentage of lower secondary school age adolescents who are not enrolled in school.
Adolescents out of school are the percentage of lower secondary school age adolescents who are not enrolled in school.
Adolescents out of school are the percentage of lower secondary school age adolescents who are not enrolled in school.
The junior secondary net enrolment ratio is a comparative figure for the number of junior secondary school students to the number of population aged 13-15, expressed as a percentage.
The percentage of population ages 25 and over that attained or completed Bachelor's or equivalent.
The percentage of population ages 25 and over that attained or completed Bachelor's or equivalent.
The percentage of population ages 25 and over that attained or completed Bachelor's or equivalent.
The percentage of population ages 25 and over that attained or completed Doctoral or equivalent.
The percentage of population ages 25 and over that attained or completed Doctoral or equivalent.
The percentage of population ages 25 and over that attained or completed Doctoral or equivalent.
The percentage of population ages 25 and over that attained or completed Master's or equivalent.
The percentage of population ages 25 and over that attained or completed Master's or equivalent.
The percentage of population ages 25 and over that attained or completed Master's or equivalent.
The percentage of population ages 25 and over that attained or completed short-cycle tertiary education.
The percentage of population ages 25 and over that attained or completed short-cycle tertiary education.
The percentage of population ages 25 and over that attained or completed short-cycle tertiary education.
Number of female students at the tertiary education level (ISCED 5 to 8) expressed as a percentage of the total number of students (male and female) at the tertiary education level (ISCED 5 to 8) in a given school year.
Tertiary school pupil-teacher ratio is the average number of pupils per teacher in tertiary school.
Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Tertiary education, whether or not to an advanced research qualification, normally requires, as a minimum condition of admission, the successful completion of education at the secondary level.
Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Tertiary education, whether or not to an advanced research qualification, normally requires, as a minimum condition of admission, the successful completion of education at the secondary level.
Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Tertiary education, whether or not to an advanced research qualification, normally requires, as a minimum condition of admission, the successful completion of education at the secondary level.
Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Tertiary education, academic staff (% female) is the share of female academic staff in tertiary education.
Current expenditure is expressed as a percentage of direct expenditure in public educational institutions (instructional and non-instructional) of the specified level of education. Financial aid to students and other transfers are excluded from direct expenditure. Current expenditure is consumed within the current year and would have to be renewed if needed in the following year. It includes staff compensation and current expenditure other than for staff compensation (ex. on teaching materials, ancillary services and administration).
Current expenditure is expressed as a percentage of direct expenditure in public educational institutions (instructional and non-instructional) of the specified level of education. Financial aid to students and other transfers are excluded from direct expenditure. Current expenditure is consumed within the current year and would have to be renewed if needed in the following year. It includes staff compensation and current expenditure other than for staff compensation (ex. on teaching materials, ancillary services and administration).
Current expenditure is expressed as a percentage of direct expenditure in public educational institutions (instructional and non-instructional) of the specified level of education. Financial aid to students and other transfers are excluded from direct expenditure. Current expenditure is consumed within the current year and would have to be renewed if needed in the following year. It includes staff compensation and current expenditure other than for staff compensation (ex. on teaching materials, ancillary services and administration).
Current expenditure is expressed as a percentage of direct expenditure in public educational institutions (instructional and non-instructional) of the specified level of education. Financial aid to students and other transfers are excluded from direct expenditure. Current expenditure is consumed within the current year and would have to be renewed if needed in the following year. It includes staff compensation and current expenditure other than for staff compensation (ex. on teaching materials, ancillary services and administration).
All staff (teacher and non-teachers) compensation is expressed as a percentage of direct expenditure in public educational institutions (instructional and non-instructional) of the specified level of education. Financial aid to students and other transfers are excluded from direct expenditure. Staff compensation includes salaries, contributions by employers for staff retirement programs, and other allowances and benefits.
All staff (teacher and non-teachers) compensation is expressed as a percentage of direct expenditure in public educational institutions (instructional and non-instructional) of the specified level of education. Financial aid to students and other transfers are excluded from direct expenditure. Staff compensation includes salaries, contributions by employers for staff retirement programs, and other allowances and benefits.
All staff (teacher and non-teachers) compensation is expressed as a percentage of direct expenditure in public educational institutions (instructional and non-instructional) of the specified level of education. Financial aid to students and other transfers are excluded from direct expenditure. Staff compensation includes salaries, contributions by employers for staff retirement programs, and other allowances and benefits.
All staff (teacher and non-teachers) compensation is expressed as a percentage of direct expenditure in public educational institutions (instructional and non-instructional) of the specified level of education. Financial aid to students and other transfers are excluded from direct expenditure. Staff compensation includes salaries, contributions by employers for staff retirement programs, and other allowances and benefits.
Government expenditure per student is the average general government expenditure (current, capital, and transfers) per student in the given level of education, expressed as a percentage of GDP per capita.
Expenditure on primary education is expressed as a percentage of total general government expenditure on education. General government usually refers to local, regional and central governments.
Government expenditure per student is the average general government expenditure (current, capital, and transfers) per student in the given level of education, expressed as a percentage of GDP per capita.
Expenditure on secondary education is expressed as a percentage of total general government expenditure on education. General government usually refers to local, regional and central governments.
Government expenditure per student is the average general government expenditure (current, capital, and transfers) per student in the given level of education, expressed as a percentage of GDP per capita.
Expenditure on tertiary education is expressed as a percentage of total general government expenditure on education. General government usually refers to local, regional and central governments.
General government expenditure on education (current, capital, and transfers) is expressed as a percentage of total general government expenditure on all sectors (including health, education, social services, etc.). It includes expenditure funded by transfers from international sources to government. General government usually refers to local, regional and central governments.
General government expenditure on education (current, capital, and transfers) is expressed as a percentage of GDP. It includes expenditure funded by transfers from international sources to government. General government usually refers to local, regional and central governments.
Public expenditure on education consists of current and capital government spending on educational institutions (both public and private), education administration as well as subsidies for private entities (students/households and other privates entities).
Average years of schooling by age group. Age 15-19. Quintile 1 (lowest) is the number of years of formal schooling received, on average, by the quintile 1 population of the given age group.
Average years of schooling by age group. Age 15-19. Quintile 5 (highest) is the number of years of formal schooling received, on average, by the quintile 5 population of the given age group.
The indicator measures whether pension contributions are paid or credited during maternity or parental leave, or the leave period is considered a qualifying period of employment used for the purpose of calculating pension benefits; or there are mechanisms to compensate for any contribution gaps and to ensure that the leave period does not reduce the assessment base or pension amounts, or if there are no mandatory contributory pension schemes, but there is a noncontributory universal social pension conditioned on noncontributory requirements with no means test attached.
The indicator measures whether the statutory age at which men and women can retire and receive an irrevocable minimum old-age pension is the same. If transitional provisions gradually increase, decrease or equalize the statutory retirement age, the answer reflect the age according to the report's data collection cycle, even if the law provides for changes over time.
The indicator measures whether the relative ages at which men and women must cease employment or can be terminated by their employer are equal.
The indicator measures measures whether the age at which men and women can retire and receive partial pension benefits is the same, or if the age at which men and women can retire and receive partial benefits is not mandated. Partial pension benefits refer to a reduced or proportional minimum old-age pension payable to workers who did not accumulate enough work experience or contributions or have not reached the statutory age to qualify for a minimum old-age pension. If transitional provisions gradually increase, decrease or equalize the statutory retirement age, the answer reflect the age according to the report's data collection cycle, even if the law provides for changes over time.
The indicator represents the actual age at which women are required to retire, or employers can terminate a contract, according to the applicable legislation.
The indicator represents the actual age at which women can retire with full pension benefits, according to the applicable legislation.
The indicator represents the actual age at which men can retire with full pension benefits, according to the applicable legislation.
The indicator represents the actual age at which men are required to retire, or employers can terminate a contract, according to the applicable legislation.
The indicator represents the actual age at which women can retire with partial pension benefits, according to the applicable legislation.
The indicator represents the actual age at which men can retire with partial pension benefits, according to the applicable legislation.
The indicator measures whether there are differences in passport application procedures between men and women.
The indicator measures whether there are restrictions on a woman registering a business (i.e. if a woman needs her husband’s or guardian’s permission, signature or consent to register a business; or the registration process at any stage requires a woman to provide additional information or documentation that is not required of a man).
The indicator measures whether a woman obtains full legal capacity upon reaching the age of majority and there are no restrictions on her signing legally binding contracts.
Percentage of households who use charcoal as thier main cooking fuel
Percentage of households who use agricultural crop as thier main cooking fuel
Percentage of households who use dung as thier main cooking fuel
Percentage of households who use electricity as thier main cooking fuel
Percentage of households who do their cooking inside the house
Percentage of households who use Liquified Petroleum Gas (LPG) or natural gas or biogas as thier main cooking fuel
Percentage of households who do their cooking in other places
Percentage of households who do their cooking outdoors
Percentage of households who do their cooking in a separate building
Percentage of households who use straw/shrubs/grass as thier main cooking fuel
Percentage of households who use wood as thier main cooking fuel
The indicator measures whether there are restrictions on a woman traveling alone internationally.
Women participating in the three decisions (own health care, major household purchases, and visiting family) is the percentage of currently married women aged 15-49 who say that they alone or jointly have the final say in all of the three decisions (own health care, large purchases and visits to family, relatives, and friends).
Women participating in making daily purchase decisions is Percentage of currently married women aged 15-49 who say that they alone or jointly have the final say in making daily purchases
Women participating in decision of what food to cook daily is Percentage of currently married women aged 15-49 who say that they alone or jointly have the final say in what food to cook daily
Women Participating in own health care decisions is Percentage of currently married women aged 15-49 who say that they alone or jointly have the final say in own health care
Decision maker about women own health care: mainly husband is Percentage of currently married women aged 15-49 for whom the decision maker for their own health care is mainly the husband
Decision maker about women own health care: other is Percentage of currently married women aged 15-49 for whom the decision maker for their own health care is recorded as 'other'
Decision maker about women own health care: someone else is Percentage of currently married women aged 15-49 for whom the decision maker for their own health care is mainly someone else
Decision maker about women own health care: mainly wife  is Percentage of currently married women aged 15-49 for whom the decision maker for their own health care is mainly the respondent
Decision maker about women own health care: wife and husband jointly is Percentage of currently married women aged 15-49 for whom the decision maker for their own health care is mainly the respondent and her husband
Women participating in none of the three decisions (own health care, major household purchases, and visiting family) is Percentage of currently married women aged 15-49 who say that they alone or jointly have the final say in none of the three decisions (own health care, major household purchases, and visiting family)
Women participating in making major household purchase decisions is Percentage of currently married women aged 15-49 who say that they alone or jointly have the final say in making major household purchases
Decision maker about ajor household purchases: mainly husband is Percentage of currently married women aged 15-49 for whom the decision maker for major household purchases is mainly the husband
Decision maker about major household purchases: other is Percentage of currently married women aged 15-49 for whom the decision maker for major household purchases is recorded as 'other'
Decision maker about Major household purchases: someone else is Percentage of currently married women aged 15-49 for whom the decision maker for major household purchases is mainly someone else
Decision maker about major household purchases: mainly wife is Percentage of currently married women aged 15-49 for whom the decision maker for major household purchases is mainly the respondent
Decision maker about major household purchases: wife and husband jointly is Percentage of currently married women aged 15-49 for whom the decision maker for major household purchases is mainly the respondent and her husband
Proportion of women ages 15-49 years (married or in union) who make their own decision on all three selected areas i.e. can say no to sexual intercourse with their husband or partner if they do not want; decide on use of contraception; and decide on their own health care. Only women who provide a “yes” answer to all three components are considered as women who “make her own decisions regarding sexual and reproductive”.
Women participating in decision of visits to family, relatives, friends is Percentage of currently married women aged 15-49 who say that they alone or jointly have the final say in visits to family, relatives, friends
Decision maker about a woman's visits to her family or relatives: mainly husband is Percentage of currently married women aged 15-49 for whom the decision maker for visits to her family or relatives is mainly the husband
Decision maker about a woman's visits to her family or relatives: other is Percentage of currently married women aged 15-49 for whom the decision maker for visits to her family or relatives is recorded as 'other'
Decision maker about a woman's visits to her family or relatives: someone else is Percentage of currently married women aged 15-49 for whom the decision maker for visits to her family or relatives is mainly someone else
Decision maker about a woman's visits to her family or relatives: mainly wife is Percentage of currently married women aged 15-49 for whom the decision maker for visits to her family or relatives is mainly the respondent
Decision maker about Visits to her family or relatives: wife and husband jointly is Percentage of currently married women aged 15-49 for whom the decision maker for visits to her family or relatives is mainly the respondent and her husband
The indicator measures whether the law explicitly prohibits the dismissal of pregnant women, if pregnancy cannot serve as grounds for termination of a contract or if dismissal of pregnant workers is considered a form of unlawful termination, unfair dismissal or wrongful discharge.
The indicator measures whether there are laws that prohibit or restrict nonpregnant and non-nursing women from working in a broad and subjective category of jobs deemed “hazardous,” “arduous” or “morally inappropriate.”
Female legislators, senior officials and managers (% of total) refers to the share of legislators, senior officials and managers who are female.
Women in ministerial level positions is the proportion of women in ministerial or equivalent positions (including deputy prime ministers) in the government. Prime Ministers/Heads of Government are included when they hold ministerial portfolios. Vice-Presidents and heads of governmental or public agencies are excluded.
Women in parliaments are the percentage of parliamentary seats in a single or lower chamber held by women.
Female professional and technical workers refers to the share of professionals and technical workers who are female. Women's share of positions are defined according to the International Standard Classification of Occupations (ISCO-88) to include physical, mathematical and engineering science professionals (and associate professionals), life science and health professionals (and associate professionals), teaching professionals (and associate professionals) and other professionals and associate professionals.
The indicator measures whether there are restrictions on a woman's legal capacity and ability to work.
Percentage of households who have a water source on their premises
Percentage of households who have a water source in less than 30 minutes away round trip
Percentage of households who have a water source 30 minutes or longer away round trip
The indicator measures whether there are restrictions on a woman becoming head of household or head of family.
The indicator measures whether there are restrictions on a woman traveling alone domestically.
The indicator measures whether both spouses have equal rank and rights to inherit assets when there is no will. For this question, it is assumed that the deceased spouse left no children or any other heirs, other than the surviving spouse.
The indicator measures whether there are gender-based differences in the rules of intestate succession for transfer of property from parents to children.
The indicator measures whether nonpregnant and non-nursing a woman can work in the mining, construction, manufacturing, energy, water, agriculture, and transportation industries in the same way as men.  nonpregnant and non-nursing women can work in the mining, construction, manufacturing, energy, water, agriculture, and transportation industries in the same way as men.
Non-pregnant and non-nursing women can do the same jobs as men indicates whether there are specific jobs that women explicitly or implicitly cannot perform except in limited circumstances. Both partial and full restrictions on women’s work are counted as restrictions. For example, if women are only allowed to work in certain jobs within the mining industry, e.g., as health care professionals within mines but not as miners, this is a restriction.
The indicator measures whether spouses retain administrative power over those assets each brought to the marriage or acquired during marriage, and their accrued value, without the need for spousal consent; or spouses administer their separate property, but for major transactions, such as selling or pledging the property as collateral, spousal consent is required, or if both spouses have equal rights in the administration and transaction of joint property.
Law prohibits or invalidates child or early marriage is whether there are provisions that prevent the marriage of girls, boys, or both before they reach the legal age of marriage or the age of marriage with consent, including, for example, a prohibition on registering the marriage or provisions stating that such a marriage is null and void.
The indicator measures whether the law prohibits discrimination by creditors based on gender or prescribes equal access for both men and women when conducting financial transactions, entrepreneurial activities or receiving financial assistance, or if the law prohibits gender discrimination when accessing goods and services (and services are defined to include financial services).
The indicator measures whether there is a law that obligates employers to pay equal remuneration to male and female employees who do work of equal value. “Remuneration” refers to the ordinary, basic or minimum wage or salary and any additional emoluments payable directly or indirectly, whether in cash or in kind, by the employer to the worker and arising out of the worker’s employment. “Work of equal value” refers not only to the same or similar jobs but also to different jobs of the same value.
The index measures how laws and regulations affect women’s economic opportunity. Overall scores are calculated by taking the average score of each index (Mobility, Workplace, Pay, Marriage, Parenthood, Entrepreneurship, Assets and Pension), with 100 representing the highest possible score.
The Assets indicator examines gender differences in property and inheritance law, including instances in which legal systems are supported by customary law and judicial precedent. The Assets indicator score is obtained by calculating the unweighted average of the following: 1. SG.OWN.PRRT.IM; 2. SG.IHT.ASST.PT.EQ; 3. SG.IHT.ASST.EQ; 4. SG.LAW.ASST.AR; 5. SG.LAW.NMCN (= 20 points each) and scaling the result to 100.
The Entrepreneurship indicator measures constraints on women starting and running a business.. The Entrepreneurship indicator score is obtained by calculating the unweighted average of the following: 1. SG.CNT.SIGN.EQ; 2. SG.BUS.REGT.EQ; 3. SG.OPN.BANK.EQ; 4. SG.LAW.CRDD.GR (= 25 points each) and scaling the result to 100.
The Mobility indicator measures constraints on a woman’s agency and freedom of movement, both of which are likely to influence her decision to enter the labor force and engage in entrepreneurial activity. Mobility indicator score is obtained by calculating the unweighted average of the following: 1. SG.APL.PSPT.EQ; 2. SG.CTR.TRVL.EQ; 3. SG.HME.TRVL.EQ; 4. SG.LOC.LIVE.EQ (= 25 points each) and scaling the result to 100.
The Marriage indicator measures legal constraints related to marriage and divorce. The Marriage indicator score is obtained by calculating the unweighted average of the following: 1. SG.LAW.OBHB.MR.NO;  2. SG.HLD.HEAD.EQ;  3. SG.LEG.DVAW; 4. SG.OBT.DVRC.EQ; 5. SG.REM.RIGT.EQ (= 20 points each) and scaling the result to 100.
The Pension indicator assesses laws affecting the size of a woman’s pension. The Pension indicator score is obtained by calculating the unweighted average of the following: 1. SG.AGE.FUPN.EQ; 2. SG.AGE.PAPN.EQ; 3. SG.AGE.MRET.EQ; 4. SG.ABS.PENB (= 25 points each) and scaling the result to 100.
The Parenthood indicator examines laws affecting women’s work during and after pregnancy. The Parenthoood indicator score is obtained by calculating the unweighted average of the following: 1. SH.MMR.LEVE.AL; 2.SH.MMR.LEVE.GT; 3. SH.PTR.LEVE.AL; 4.SH.PAR.LEVE.AL; 5.SG.DML.PRGW (= 20 points each) and scaling the result to 100.
The Pay indicator measures laws affecting occupational segregation and the gender wage gap.  The Pay indicator score is obtained by calculating the unweighted average of the following: 1. SG.LAW.EQRM.WK; 2. SG.NGT.WORK.EQ; 3. SG.DNG.WORK.DN.EQ; 4. SG.IND.WORK.EQ (= 25 points each) and scaling the result to 100.
The Workplace indicator analyzes laws affecting women’s decisions to enter the labor market, including women’s legal capacity and ability to work, as well as protections in the workplace against discrimination and sexual harassment. The Workplace indicator score is obtained by calculating the unweighted average of the following: 1. SG.GET.JOBS.EQ; 2. SG.LAW.NODC.HR; 3. SG.LEG.SXHR.EM; 4. SG.PEN.SXHR.EM (= 25 points each) and scaling the result to 100.
Law mandates paid or unpaid maternity leave is whether there is a law mandating paid or unpaid maternity leave available only to the mother. Provisions for circumstantial leave by which an employee is entitled to a certain number of days of paid leave (usually fewer than five days) upon the birth of a child are considered paternity leave; even if the law is gender-neutral, such leave is not considered maternity leave if the law covers maternity leave elsewhere.
The indicator measures whether there is an explicit legal recognition of such contributions and the law provides for equal or equitable division of the property or the transfer of a lump sum to the stay-at-home spouse based on nonmonetary contributions; or the default marital property regime is full community, partial community or deferred community because these regimes implicitly recognize nonmonetary contributions at the time of property division and benefit both spouses regardless of who purchased the property or holds title to it. Nonmonetary contributions include caring for minor children, taking care of the family home, or any other nonmonetized contribution from a stay-at-home spouse.
The indicator measures whether the law generally prevents or penalizes gender-based discrimination in employment. Laws that mandate equal treatment or equality between women and men in employment are also counted for this question. It is not considered whether the laws only prohibit discrimination in one aspect of employment, such as pay or dismissal.
The indicator measures whether a married woman is legally required to obey her husband.
The indicator measures whether there is legislation addressing domestic violence that includes criminal sanctions or provides for protection orders for domestic violence, or the legislation addresses "harassment" that clearly leads to physical or mental harm in the context of domestic violence.
The indicator measures whether there is a legal provision or legislation that specifically protects women against sexual harassment in employment, including unwelcome verbal or physical conduct of a sexual nature.
The indicator measures whether there are restrictions on a woman choosing where to live.
The percentage of women and girls (ages 15-49 who had a menstrual period within the last year) who participated in activities (such as school, work, and social activities for those who typically participate in) during their last menstrual period.
The percentage of women and girls (ages 15-49 who had a menstrual period within the last year) who participated in activities (such as school, work, and social activities for those who typically participate in) during their last menstrual period.
The percentage of women and girls (ages 15-49 who had a menstrual period within the last year) who participated in activities (such as school, work, and social activities for those who typically participate in) during their last menstrual period.
The percentage of women and girls (ages 15-49 who had a menstrual period within the last year) who had a private place to wash their bodies and change their menstrual materials at home during their last menstrual period.
The percentage of women and girls (ages 15-49 who had a menstrual period within the last year) who had a private place to wash their bodies and change their menstrual materials at home during their last menstrual period.
The percentage of women and girls (ages 15-49 who had a menstrual period within the last year) who had a private place to wash their bodies and change their menstrual materials at home during their last menstrual period.
The percentage of the women and girls (ages 15-49 who had a menstrual period with the last year) who used menstrual materials such as sanitary pads, tampons, menstrual cups, cloth, or cotton wool, to capture and contain menstrual blood during their last menstrual period. Those who used paper, underwear alone, or nothing are not classified as using menstrual materials.
The percentage of the women and girls (ages 15-49 who had a menstrual period with the last year) who used menstrual materials such as sanitary pads, tampons, menstrual cups, cloth, or cotton wool, to capture and contain menstrual blood during their last menstrual period. Those who used paper, underwear alone, or nothing are not classified as using menstrual materials.
The percentage of the women and girls (ages 15-49 who had a menstrual period with the last year) who used menstrual materials such as sanitary pads, tampons, menstrual cups, cloth, or cotton wool, to capture and contain menstrual blood during their last menstrual period. Those who used paper, underwear alone, or nothing are not classified as using menstrual materials.
Mothers are guaranteed an equivalent position after maternity leave is whether employers of women returning from maternity leave are legally obligated to provide them with an equivalent position after maternity leave. It takes into account paid and unpaid maternity leave and captures whether the employer has a legal obligation to reinstate the returning employee in an equivalent or better position and salary than the employee had pre-leave. Where the maternity leave regime explicitly states that the employee may not be indefinitely replaced, the answer is assumed to be “Yes.” Where the maternity leave regime explicitly establishes a suspension of the employee’s contract, the answer is assumed to be “Yes.” In economies that also have parental leave and the law guarantees return after the leave to the same or an equivalent position paid at the same rate but is silent on guaranteeing the same position after maternity leave, the answer is “Yes.” The answer is “N/A” if no paid or unpaid maternity leave is available.
The indicator measures whether nonpregnant and nonnursing women are prohibited from working at night or cannot work the same night hours as men. If various sectors of the economy are regulated separately (i.e., no central labor law), it is assumed that the woman is employed as a cashier in a grocery store or supermarket. It is analyzed whether restrictions on women's ability to work at night do not apply to the food retail sector; if women's consent to work at night is required; if an employer needs to comply with safety measures (such as providing transportation).
Nondiscrimination clause mentions gender in the constitution is whether there is a nondiscrimination clause in the constitution which mentions gender. For the answer to be “Yes,” the constitution must use either the word discrimination or the word nondiscrimination or even when there is a “clawback” provision granting exceptions to the nondiscrimination clause for certain areas of the law, such as inheritance, family and customary law. The answer is “No” if there is no nondiscrimination provision, or the nondiscrimination language is present in the preamble but not in an article of the constitution, or there is a provision that merely stipulates that the sexes are equal, or the sexes have equal rights and obligations. The answer is "N/A" if there is no nondiscrimination provision.
The indicator measures whether the divorce process is equal for women and men or includes additional protections for women, such as prohibiting a husband from initiating divorce proceedings while his wife is pregnant.
The indicator measures whether there are restrictions on a woman opening a bank account (i.e. a woman has limited legal capacity or is required to provide any additional permission or documentation that is not required of a man; or legal provisions limit the ability of a woman to open a bank account, such as stating that a married woman who is separately employed from her husband may open a bank account in her own name).
Women who own house both alone and jointly (% of women age 15-49): Q1 (lowest) is the percentage of women age 15-49 who alone as well as jointly with someone else own a house which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a woman owns a house alone and another house jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who own house both alone and jointly (% of women age 15-49): Q2 is the percentage of women age 15-49 who alone as well as jointly with someone else own a house which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a woman owns a house alone and another house jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who own house both alone and jointly (% of women age 15-49): Q3 is the percentage of women age 15-49 who alone as well as jointly with someone else own a house which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a woman owns a house alone and another house jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who own house both alone and jointly (% of women age 15-49): Q4 is the percentage of women age 15-49 who alone as well as jointly with someone else own a house which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a woman owns a house alone and another house jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who own house both alone and jointly (% of women age 15-49): Q5 (highest) is the percentage of women age 15-49 who alone as well as jointly with someone else own a house which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a woman owns a house alone and another house jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who own house both alone and jointly (% of women age 15-49) is the percentage of women age 15-49 who alone as well as jointly with someone else own a house which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a woman owns a house alone and another house jointly with someone else.
Men who own house both alone and jointly (% of men): Q1 (lowest) is the percentage of men who both solely and jointly with someone else own a house which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a man owns a house alone and another house jointly with someone else.Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who own house both alone and jointly (% of men): Q2 is the percentage of men who both solely and jointly with someone else own a house which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a man owns a house alone and another house jointly with someone else.Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who own house both alone and jointly (% of men): Q3 is the percentage of men who both solely and jointly with someone else own a house which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a man owns a house alone and another house jointly with someone else.Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who own house both alone and jointly (% of men): Q4 is the percentage of men who both solely and jointly with someone else own a house which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a man owns a house alone and another house jointly with someone else.Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who own house both alone and jointly (% of men): Q5 (highest) is the percentage of men who both solely and jointly with someone else own a house which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a man owns a house alone and another house jointly with someone else.Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who own house both alone and jointly (% of men) is the percentage of men who both solely and jointly with someone else own a house which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a man owns a house alone and another house jointly with someone else.
Women who own house alone (% of women age 15-49): Q1 (lowest) is the percentage of women age 15-49 who only own a house, which legally registered with their name or cannot be sold without their signature, alone (don't share ownership with anyone). Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who own house alone (% of women age 15-49): Q2 is the percentage of women age 15-49 who only own a house, which legally registered with their name or cannot be sold without their signature, alone (don't share ownership with anyone). Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who own house alone (% of women age 15-49): Q3 is the percentage of women age 15-49 who only own a house, which legally registered with their name or cannot be sold without their signature, alone (don't share ownership with anyone). Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who own house alone (% of women age 15-49): Q4 is the percentage of women age 15-49 who only own a house, which legally registered with their name or cannot be sold without their signature, alone (don't share ownership with anyone). Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who own house alone (% of women age 15-49): Q5 (highest) is the percentage of women age 15-49 who only own a house, which legally registered with their name or cannot be sold without their signature, alone (don't share ownership with anyone). Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who own house alone (% of women age 15-49) is the percentage of women age 15-49 who only own a house, which legally registered with their name or cannot be sold without their signature, alone (don't share ownership with anyone).
Men who own house alone (% of men): Q1 (lowest) is the percentage of men who only solely own a house which is legally registered with their name or cannot be sold without their signature. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who own house alone (% of men): Q2 is the percentage of men who only solely own a house which is legally registered with their name or cannot be sold without their signature. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who own house alone (% of men): Q3 is the percentage of men who only solely own a house which is legally registered with their name or cannot be sold without their signature. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who own house alone (% of men): Q4 is the percentage of men who only solely own a house which is legally registered with their name or cannot be sold without their signature. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who own house alone (% of men): Q5 (highest) is the percentage of men who only solely own a house which is legally registered with their name or cannot be sold without their signature. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who own house alone (% of men) is the percentage of men who only solely own a house which is legally registered with their name or cannot be sold without their signature.
Women who own house jointly (% of women age 15-49): Q1 (lowest) is the percentage of women age 15-49 who only jointly own a house, which is legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the woman doesn’t own a house on her own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who own house jointly (% of women age 15-49): Q2 is the percentage of women age 15-49 who only jointly own a house, which is legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the woman doesn’t own a house on her own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who own house jointly (% of women age 15-49): Q3 is the percentage of women age 15-49 who only jointly own a house, which is legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the woman doesn’t own a house on her own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who own house jointly (% of women age 15-49): Q4 is the percentage of women age 15-49 who only jointly own a house, which is legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the woman doesn’t own a house on her own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who own house jointly (% of women age 15-49): Q5 (highest) is the percentage of women age 15-49 who only jointly own a house, which is legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the woman doesn’t own a house on her own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who own house jointly (% of women age 15-49) is the percentage of women age 15-49 who only jointly own a house, which is legally registered with their name or cannot be sold without their signature, with someone else.  "Only jointly" implies the woman doesn’t own a house on her own, but instead jointly owns one with someone else.
Men who own house jointly (% of men): Q1 (lowest) is the percentage of men who only jointly own a house, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the man doesn’t own a house on his own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who own house jointly (% of men): Q2 is the percentage of men who only jointly own a house, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the man doesn’t own a house on his own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who own house jointly (% of men): Q3 is the percentage of men who only jointly own a house, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the man doesn’t own a house on his own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who own house jointly (% of men): Q4 is the percentage of men who only jointly own a house, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the man doesn’t own a house on his own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who own house jointly (% of men): Q5 (highest) is the percentage of men who only jointly own a house, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the man doesn’t own a house on his own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who own house jointly (% of men) is the percentage of men who only jointly own a house, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the man doesn’t own a house on his own, but instead jointly owns one with someone else.
Women who do not own house (% of women age 15-49): Q1 (lowest) is the percentage of women age 15-49 who don’t own any house, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who do not own house (% of women age 15-49): Q2 is the percentage of women age 15-49 who don’t own any house, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who do not own house (% of women age 15-49): Q3 is the percentage of women age 15-49 who don’t own any house, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who do not own house (% of women age 15-49): Q4 is the percentage of women age 15-49 who don’t own any house, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who do not own house (% of women age 15-49): Q5 (highest) is the percentage of women age 15-49 who don’t own any house, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who do not own house (% of women age 15-49) is the percentage of women age 15-49 who don’t own any house, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both.
Men who do not own house (% of men): Q1 (lowest) is the percentage of men who don’t own any house, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who do not own house (% of men): Q2 is the percentage of men who don’t own any house, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who do not own house (% of men): Q3 is the percentage of men who don’t own any house, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who do not own house (% of men): Q4 is the percentage of men who don’t own any house, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who do not own house (% of men): Q5 (highest) is the percentage of men who don’t own any house, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who do not own house (% of men) is the percentage of men who don’t own any house, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both.
Women who own land both alone and jointly (% of women age 15-49): Q1 (lowest) is the percentage of women age 15-49 who both solely and jointly with someone else own a land which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a woman owns a land alone and another land jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who own land both alone and jointly (% of women age 15-49): Q2 is the percentage of women age 15-49 who both solely and jointly with someone else own a land which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a woman owns a land alone and another land jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who own land both alone and jointly (% of women age 15-49): Q3 is the percentage of women age 15-49 who both solely and jointly with someone else own a land which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a woman owns a land alone and another land jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who own land both alone and jointly (% of women age 15-49): Q4 is the percentage of women age 15-49 who both solely and jointly with someone else own a land which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a woman owns a land alone and another land jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who own land both alone and jointly (% of women age 15-49): Q5 (highest) is the percentage of women age 15-49 who both solely and jointly with someone else own a land which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a woman owns a land alone and another land jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who own land both alone and jointly (% of women age 15-49) is the percentage of women age 15-49 who both solely and jointly with someone else own a land which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a woman owns a land alone and another land jointly with someone else.
Men who own land both alone and jointly (% of men): Q1 (lowest) is the percentage of men who both solely and jointly with someone else own a land which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a man owns a land alone and another land jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who own land both alone and jointly (% of men): Q2 is the percentage of men who both solely and jointly with someone else own a land which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a man owns a land alone and another land jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who own land both alone and jointly (% of men): Q3 is the percentage of men who both solely and jointly with someone else own a land which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a man owns a land alone and another land jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who own land both alone and jointly (% of men): Q4 is the percentage of men who both solely and jointly with someone else own a land which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a man owns a land alone and another land jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who own land both alone and jointly (% of men): Q5 (highest) is the percentage of men who both solely and jointly with someone else own a land which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a man owns a land alone and another land jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who own land both alone and jointly (% of men) is the percentage of men who both solely and jointly with someone else own a land which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a man owns a land alone and another land jointly with someone else.
Women who own land alone (% of women age 15-49): Q1 (lowest) is the percentage of women age 15-49 who only solely own a land which is legally registered with their name or cannot be sold without their signature. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who own land alone (% of women age 15-49): Q2 is the percentage of women age 15-49 who only solely own a land which is legally registered with their name or cannot be sold without their signature. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who own land alone (% of women age 15-49): Q3 is the percentage of women age 15-49 who only solely own a land which is legally registered with their name or cannot be sold without their signature. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who own land alone (% of women age 15-49): Q4 is the percentage of women age 15-49 who only solely own a land which is legally registered with their name or cannot be sold without their signature. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who own land alone (% of women age 15-49): Q5 (highest) is the percentage of women age 15-49 who only solely own a land which is legally registered with their name or cannot be sold without their signature. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who own land alone (% of women age 15-49) is the percentage of women age 15-49 who only solely own a land which is legally registered with their name or cannot be sold without their signature.
Men who own land alone (% of men): Q1 (lowest) is the percentage of men who solely own a land which is legally registered with their name or cannot be sold without their signature. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who own land alone (% of men): Q2 is the percentage of men who solely own a land which is legally registered with their name or cannot be sold without their signature. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who own land alone (% of men): Q3 is the percentage of men who solely own a land which is legally registered with their name or cannot be sold without their signature. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who own land alone (% of men): Q4 is the percentage of men who solely own a land which is legally registered with their name or cannot be sold without their signature. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who own land alone (% of men): Q5 (highest) is the percentage of men who solely own a land which is legally registered with their name or cannot be sold without their signature. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who own land alone (% of men) is the percentage of men who solely own a land which is legally registered with their name or cannot be sold without their signature.
Women who own land jointly (% of women age 15-49): Q1 (lowest) is the percentage of women age 15-49 who only jointly own a land, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the woman doesn’t own a land on her own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who own land jointly (% of women age 15-49): Q2 is the percentage of women age 15-49 who only jointly own a land, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the woman doesn’t own a land on her own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who own land jointly (% of women age 15-49): Q3 is the percentage of women age 15-49 who only jointly own a land, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the woman doesn’t own a land on her own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who own land jointly (% of women age 15-49): Q4 is the percentage of women age 15-49 who only jointly own a land, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the woman doesn’t own a land on her own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who own land jointly (% of women age 15-49): Q5 (highest) is the percentage of women age 15-49 who only jointly own a land, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the woman doesn’t own a land on her own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who own land jointly (% of women age 15-49) is the percentage of women age 15-49 who only jointly own a land, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the woman doesn’t own a land on her own, but instead jointly owns one with someone else.
Men who own land jointly (% of men): Q1 (lowest) is the percentage of men who only jointly own a land, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the man doesn’t own a land on his own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who own land jointly (% of men): Q2 is the percentage of men who only jointly own a land, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the man doesn’t own a land on his own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who own land jointly (% of men): Q3 is the percentage of men who only jointly own a land, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the man doesn’t own a land on his own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who own land jointly (% of men): Q4 is the percentage of men who only jointly own a land, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the man doesn’t own a land on his own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who own land jointly (% of men): Q5 (highest) is the percentage of men who only jointly own a land, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the man doesn’t own a land on his own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who own land jointly (% of men) is the percentage of men who only jointly own a land, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the man doesn’t own a land on his own, but instead jointly owns one with someone else.
Women who do not own land (% of women age 15-49): Q1 (lowest) is the percentage of women age 15-49 who don’t own any land, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who do not own land (% of women age 15-49): Q2 is the percentage of women age 15-49 who don’t own any land, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who do not own land (% of women age 15-49): Q3 is the percentage of women age 15-49 who don’t own any land, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who do not own land (% of women age 15-49): Q4 is the percentage of women age 15-49 who don’t own any land, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who do not own land (% of women age 15-49): Q5 (highest) is the percentage of women age 15-49 who don’t own any land, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Women who do not own land (% of women age 15-49) is the percentage of women age 15-49 who don’t own any land, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both.
Men who do not own land (% of men): Q1 (lowest) is the percentage of men who don’t own any land, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who do not own land (% of men): Q2 is the percentage of men who don’t own any land, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who do not own land (% of men): Q3 is the percentage of men who don’t own any land, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who do not own land (% of men): Q4 is the percentage of men who don’t own any land, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who do not own land (% of men): Q5 (highest) is the percentage of men who don’t own any land, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Men who do not own land (% of men) is the percentage of men who don’t own any land, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both.
The indicator measures whether no legal restriction related to property is applied to women or men based on gender (i.e. if legal restrictions on property ownership are applied based on gender, or if there are gender differences in the legal treatment of spousal property, such as granting the husband administrative control of marital property. This includes instances in which legal systems are supported by custom and judicial precedent).
The indicator measures whether the law establishes criminal sanctions, such as fines or imprisonment, for sexual harassment in employment; if the provision in the criminal code provides for reparation of damages for offenses covered by the code; or if the law provides for civil remedies or compensation for victims of sexual harassment in employment or the workplace, even after dismissal of the victims.
Percentage of female migrants out of total international migrant stock. International migrant stock is the number of people born in a country other than that in which they live. It also includes refugees.
The indicator measures whether women and men have an equal right to remarry.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she has recently given birth. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she has recently given birth. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she has recently given birth. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she has recently given birth. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she has recently given birth. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she has recently given birth.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for none of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for none of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for none of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for none of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for none of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for none of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for all of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for all of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for all of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for all of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for all of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for all of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sex with other women. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sex with other women. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sex with other women. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sex with other women. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sex with other women. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sex with other women.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she is tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she is tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she is tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she is tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she is tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she is tired or not in the mood.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sexually transmitted disease. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sexually transmitted disease. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sexually transmitted disease. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sexually transmitted disease. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sexually transmitted disease. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sexually transmitted disease.
Percentage of women ages 20-24 who initiated sexual intercourse by age 15.
Percentage of men ages 20-24 who initiated sexual intercourse by age 15.
Percentage of women ages 15-19 who initiated sexual intercourse before age 15.
Percentage of men ages 15-19 who initiated sexual intercourse before age 15.
The average time women spend on household provision of services for own consumption. Data are expressed as a proportion of time in a day. Domestic and care work includes food preparation, dishwashing, cleaning and upkeep of a dwelling, laundry, ironing, gardening, caring for pets, shopping, installation, servicing and repair of personal and household goods, childcare, and care of the sick, elderly or disabled household members, among others.
The average time men spend on household provision of services for own consumption.  Data are expressed as a proportion of time in a day. Domestic and care work includes food preparation, dishwashing, cleaning and upkeep of a dwelling, laundry, ironing, gardening, caring for pets, shopping, installation, servicing and repair of personal and household goods, childcare, and care of the sick, elderly or disabled household members, among others.
Proportion of women who have ever experienced intimate partner violence is the percentage of ever partnered women ages 15-19 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in their lifetime.
Proportion of women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women ages 15-19 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
Proportion of women who have ever experienced intimate partner violence is the percentage of ever partnered women ages 15-49 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in their lifetime.
Proportion of women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women ages 15-49 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
Proportion of women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women age 15-49 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
Proportion of women who have ever experienced intimate partner violence is the percentage of ever partnered women ages 15+ who are subjected to physical violence, sexual violence or both by a current or former intimate partner in their lifetime.
Proportion of women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women ages 15+  who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
Proportion of women who have ever experienced intimate partner violence is the percentage of ever partnered women ages 20-24 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in their lifetime.
Proportion of women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women ages 20-24 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
Proportion of women who have ever experienced intimate partner violence is the percentage of ever partnered women age 25-29 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in their lifetime.
Proportion of women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women ages 25-29 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
Proportion of women who have ever experienced intimate partner violence is the percentage of ever partnered women ages 30-34 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in their lifetime.
Proportion of women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women ages 30-34 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
Proportion of women who have ever experienced intimate partner violence is the percentage of ever partnered women ages 35-44 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in their lifetime.
Proportion of women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women ages 35-44 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
Proportion of women who have ever experienced intimate partner violence is the percentage of ever partnered women ages 45-54 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in their lifetime.
Proportion of women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women ages 45-54 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
Proportion of women who have ever experienced intimate partner violence is the percentage of ever partnered women ages 55-64 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in their lifetime.
Proportion of women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women ages 55-64 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
Proportion of women who have ever experienced intimate partner violence is the percentage of ever partnered women ages 65+ who are subjected to physical violence, sexual violence or both by a current or former intimate partner in their lifetime.
Proportion of women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women ages 65+ who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
Proportion of women who have ever experienced any form of sexual violence is the percentage of women ages 15-49 who ever experienced sexual violence.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she argues with him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she argues with him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she argues with him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she argues with him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she argues with him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she argues with him.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she burns the food. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she burns the food. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she burns the food. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she burns the food. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she burns the food. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she burns the food.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she goes out without telling him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she goes out without telling him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she goes out without telling him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she goes out without telling him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she goes out without telling him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she goes out without telling him.
Percentage of ever-married women ages 15-49 who have ever experienced any physical or sexual violence who never sought help to stop violence, and never told anyone
Percentage of ever-married women ages 15-49 who have ever experienced any physical or sexual violence who never sought help to stop violence, but told someone
Proportion of women who have sought help to stop physical or sexual violence is the percentage of ever-married women ages 15-49 who have ever experienced any physical or sexual violence who have sought help to stop violence.
Percentage of ever-married women ages 15-49 who have ever experienced spousal physical or sexual violence suffered one or more of these injuries: deep wounds, broken bones, broken teeth, eye injuries, sprains, dislocations, or burns, cuts, bruises or aches.
Percentage of ever-married women ages 15-49 whose husband or partner never demonstrated controlling behaviors
Percentage of ever-married women ages 15-49 whose husband or partner has ever demonstrated 3 or more of the specific behaviors from the following: jealous or angry if she talks to other men; accuses her of being unfaithful; not permit her to meet her female friends; tries to limit her contact with her family;  insists on knowing where she is at all times; does not trust her with any money
Percentage of ever-married women ages 15-49 who have ever experienced emotional violence committed by their husband or partner
Percentage of ever-married women ages 15-49 who have experienced emotional violence committed by their husband/partner in the 12 months preceding the survey
Percentage of ever-married women ages 15-49 who have ever experienced physical violence committed by their husband or partner
Percentage of ever-married women ages 15-49 who have experienced physical violence committed by their husband/partner in the 12 months preceding the survey
Percentage of ever-married women ages 15-49 who have ever experienced sexual violence committed by their husband or partner
Percentage of ever-married women ages 15-49 who have experienced sexual violence committed by their husband/partner in the 12 months preceding the survey
Percentage of currently married women ages 15-49 who have been married only once whose first experience of spousal physical or sexual violence was before marriage
Percentage of currently married women ages 15-49 who have been married only once whose first experience of spousal physical or sexual violence was within ten years of marriage
Percentage of currently married women ages 15-49 who have been married only once whose first experience of spousal physical or sexual violence was within two years of marriage
Percentage of currently married women ages 15-49 who have been married only once whose first experience of spousal physical or sexual violence was within five years of marriage
Percentage of currently married women ages 15-49 who have been married only once and have not experienced spousal physical or sexual violence
Proportion of women who have ever experienced intimate partner violence is the percentage of ever-married women (ages 15 - 49) who have ever experienced physical or sexual violence committed by their husband or partner.
Spousal physical or sexual violence is the percentage of ever-married women aged 15-49 who have experienced physical or sexual violence in the last 12 months committed by their husband or partner.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she neglects the children. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she neglects the children. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she neglects the children. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she neglects the children. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she neglects the children. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she neglects the children.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner for any of the following five reasons: argues with him; refuses to have sex; burns the food; goes out without telling him; or when she neglects the children. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner for any of the following five reasons: argues with him; refuses to have sex; burns the food; goes out without telling him; or when she neglects the children. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner for any of the following five reasons: argues with him; refuses to have sex; burns the food; goes out without telling him; or when she neglects the children. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner for any of the following five reasons: argues with him; refuses to have sex; burns the food; goes out without telling him; or when she neglects the children. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner for any of the following five reasons: argues with him; refuses to have sex; burns the food; goes out without telling him; or when she neglects the children. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner for any of the following five reasons: argues with him; refuses to have sex; burns the food; goes out without telling him; or when she neglects the children.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she refuses sex with him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she refuses sex with him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she refuses sex with him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she refuses sex with him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she refuses sex with him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she refuses sex with him.
Percentage of women ages 15-49 who first experienced sexual violence before exact age 15
Percentage of women ages 15-49 who first experienced sexual violence before exact age 18
Percentage of women ages 15-49 who first experienced sexual violence before exact age 22
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.
Inpatient admission rate is the percentage of the population admitted to hospitals during a year.
Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.
Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.
Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.
Prevalence of anemia among women of reproductive age refers to the combined prevalence of both non-pregnant with haemoglobin levels below 12 g/dL and pregnant women with haemoglobin levels below 11 g/dL.
Prevalence of anemia, children ages 6-59 months, is the percentage of children ages 6-59 months whose hemoglobin level is less than 110 grams per liter, adjusted for altitude.
Prevalence of anemia, non-pregnant women, is the percentage of non-pregnant women whose hemoglobin level is less than 120 grams per liter at sea level.
Condom use, female is the percentage of the female population ages 15-24 who used a condom at last intercourse in the last 12 months.
Condom use, male is the percentage of the male population ages 15-24 who used a condom at last intercourse in the last 12 months.
Condom use at last high-risk sex, female is the percentage of the female population ages 15-49 who used a condom at last intercourse with a non-marital and non-cohabiting sexual partner in the last 12 months.
Condom use at last high-risk sex, male is the percentage of the male population ages 15-49 who used a condom at last intercourse with a non-marital and non-cohabiting sexual partner in the last 12 months.
Number of deaths of children ages 5-9 years
Number of deaths of female children ages 5-9 years
Number of deaths of male children ages 5-9 years
Number of deaths of children ages 5-14 years
Number of deaths of adolescents ages 10-14 years
Number of deaths of female adolescents ages 10-14 years
Number of deaths of male adolescents ages 10-14 years
Number of deaths of adolescents ages 10-19 years
Number of deaths of female adolescents ages 10-19 years
Number of deaths of male adolescents ages 10-19 years
Number of deaths of adolescents ages 15-19 years
Number of deaths of female adolescents ages 15-19 years
Number of deaths of male adolescents ages 15-19 years
Number of deaths of youths ages 20-24 years
Number of deaths of female youths ages 20-24 years
Number of deaths of male youths ages 20-24 years
Number of female deaths ages 0-4 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all female deaths ages 0-4, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Number of male deaths ages 0-4 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all male deaths ages 0-4, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Number of deaths ages 0-4 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all deaths ages 0-4, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Number of female deaths ages 5-14 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all female deaths ages 5-14, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Number of male deaths ages 5-14 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all male deaths ages 5-14, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Number of deaths ages 5-14 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all deaths ages 5-14, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Number of female deaths ages 15-59 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all female deaths ages 15-59, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Number of male deaths ages 15-59 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all male deaths ages 15-59, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Number of deaths ages 15-59 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all deaths ages 15-59, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Number of female deaths ages 60+ due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all female deaths ages 60+, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Number of male deaths ages 60+ due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all male deaths ages 60+, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Number of deaths ages 60+ due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all deaths ages 60+, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Number of female deaths due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all female deaths, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Number of male deaths due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all male deaths, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Cause of death refers to the share of all deaths for all ages by underlying causes. Communicable diseases and maternal, prenatal and nutrition conditions include infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Number of infants dying before reaching one year of age.
Number of female infants dying before reaching one year of age.
Number of male infants dying before reaching one year of age.
Number of female deaths ages 0-4 due to injury divided by number of all female deaths ages 0-4, expressed by percentage. Injury includes unintentional and intentional injuries.
Number of male deaths ages 0-4 due to injury divided by number of all male deaths ages 0-4, expressed by percentage. Injury includes unintentional and intentional injuries.
Number of deaths ages 0-4 due to injury divided by number of all deaths ages 0-4, expressed by percentage. Injury includes unintentional and intentional injuries.
Number of female deaths ages 5-14 due to injury divided by number of all female deaths ages 5-14, expressed by percentage. Injury includes unintentional and intentional injuries.
Number of male deaths ages 5-14 due to injury divided by number of all male deaths ages 5-14, expressed by percentage. Injury includes unintentional and intentional injuries.
Number of deaths ages 5-14 due to injury divided by number of all deaths ages 5-14, expressed by percentage. Injury includes unintentional and intentional injuries.
Number of female deaths ages 15-59 due to injury divided by number of all female deaths ages 15-59, expressed by percentage. Injury includes unintentional and intentional injuries.
Number of male deaths ages 15-59 due to injury divided by number of all male deaths ages 15-59, expressed by percentage. Injury includes unintentional and intentional injuries.
Number of deaths ages 15-59 due to injury divided by number of all deaths ages 15-59, expressed by percentage. Injury includes unintentional and intentional injuries.
Number of female deaths ages 60+ due to injury divided by number of all female deaths ages 60+, expressed by percentage. Injury includes unintentional and intentional injuries.
Number of male deaths ages 60+ due to injury divided by number of all male deaths ages 60+, expressed by percentage. Injury includes unintentional and intentional injuries.
Number of deaths ages 60+ due to injury divided by number of all deaths ages 60+, expressed by percentage. Injury includes unintentional and intentional injuries.
Number of female deaths due to injury divided by number of all female deaths, expressed by percentage. Injury includes unintentional and intentional injuries.
Number of male deaths ages due to injury divided by number of all male deaths ages, expressed by percentage. Injury includes unintentional and intentional injuries.
Cause of death refers to the share of all deaths for all ages by underlying causes. Injuries include unintentional and intentional injuries.
Number of children dying before reaching age five.
Number of female children dying before reaching age five.
Number of male children dying before reaching age five.
Number of female deaths ages 0-4 due to non-communicable diseases divided by number of all female deaths ages 0-4, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Number of male deaths ages 0-4 due to non-communicable diseases divided by number of all male deaths ages 0-4, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Number of deaths ages 0-4 due to non-communicable diseases divided by number of all deaths ages 0-4, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Number of female deaths ages 5-14 due to non-communicable diseases divided by number of all female deaths ages 5-14, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Number of male deaths ages 5-14 due to non-communicable diseases divided by number of all male deaths ages 5-14, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Number of deaths ages 5-14 due to non-communicable diseases divided by number of all deaths ages 5-14, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Number of female deaths ages 15-59 due to non-communicable diseases divided by number of all female deaths ages 15-59, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Number of male deaths ages 15-59 due to non-communicable diseases divided by number of all male deaths ages 15-59, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Number of deaths ages 15-59 due to non-communicable diseases divided by number of all deaths ages 15-59 expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Number of female deaths ages 60+ due to non-communicable diseases divided by number of all female deaths ages 60+, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Number of male deaths ages 60+ due to non-communicable diseases divided by number of all male deaths ages 60+, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Number of deaths ages 60+ due to non-communicable diseases divided by number of all deaths ages 60+, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Number of female deaths due to non-communicable diseases divided by number of all female deaths, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Number of male deaths ages due to non-communicable diseases divided by number of all male deaths ages, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Cause of death refers to the share of all deaths for all ages by underlying causes. Non-communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Number of neonates dying before reaching 28 days of age.
Number of fetal deaths at 28 weeks or more of gestation
Probability of dying between age 5-9 years of age expressed per 1,000 children aged 5, if subject to age-specific mortality rates of the specified year.
Probability of dying among female children between age 5-9 years of age expressed per 1,000 female children aged 5, if subject to female age-specific mortality rates of the specified year.
Probability of dying among male children between age 5-9 years of age expressed per 1,000 male children aged 5, if subject to male age-specific mortality rates of the specified year.
Probability of dying between age 5-14 years of age expressed per 1,000 children aged 5, if subject to age-specific mortality rates of the specified year.
Probability of dying between age 10-14 years of age expressed per 1,000 adolescents age 10, if subject to age-specific mortality rates of the specified year.
Probability of dying among female adolescents between age 10-14 years of age expressed per 1,000 female adolescents age 10, if subject to female age-specific mortality rates of the specified year.
Probability of dying among male adolescents between age 10-14 years of age expressed per 1,000 male adolescents age 10, if subject to male age-specific mortality rates of the specified year.
Probability of dying between age 10-19 years of age expressed per 1,000 adolescents age 10, if subject to age-specific mortality rates of the specified year.
Probability of dying among female adolescents between age 10-19 years of age expressed per 1,000 female adolescents age 10, if subject to female age-specific mortality rates of the specified year.
Probability of dying among male adolescents between age 10-19 years of age expressed per 1,000 male adolescents age 10, if subject to male age-specific mortality rates of the specified year.
Probability of dying between age 15-19 years of age expressed per 1,000 adolescents age 15, if subject to age-specific mortality rates of the specified year.
Probability of dying female adolescents between age 15-19 years of age expressed per 1,000 female adolescents age 15, if subject to female age-specific mortality rates of the specified year.
Probability of dying male adolescents between age 15-19 years of age expressed per 1,000 male adolescents age 15, if subject to male age-specific mortality rates of the specified year.
Probability of dying between age 20-24 years of age expressed per 1,000 youths age 20, if subject to age-specific mortality rates of the specified year.
Probability of dying among female youths between age 20-24 years of age expressed per 1,000 female youths age 20, if subject to female age-specific mortality rates of the specified year.
Probability of dying among male youths between age 20-24 years of age expressed per 1,000 male youths age 20, if subject to male age-specific mortality rates of the specified year.
Adults living with HIV refers to the number of people ages 15-49 who are infected with HIV.
AIDS deaths are the estimated number of adults and children who died due to AIDS-related causes.
Prevalence of HIV is the percentage of people who are infected with HIV. Female rate is as a percentage of the total population ages 15+ who are living with HIV.
Prevalence of HIV refers to the percentage of people ages 15-49 who are infected with HIV based on a high estimate.
Prevalence of HIV refers to the percentage of people ages 15-49 who are infected with HIV based on a low estimate.
Prevalence of HIV refers to the percentage of people ages 15-49 who are infected with HIV.
Child mortality rate is the probability of dying between the exact ages of one and five, if subject to current age-specific mortality rates. The probability is expressed as a rate per 1,000.
Child mortality rate is the probability of dying between the exact ages of one and five, if subject to current age-specific mortality rates. The probability is expressed as a rate per 1,000.
Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified year.
Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified year.
Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male age-specific mortality rates of the specified year.
Under-5 mortality rate: Number of deaths to children under age five years per 1000 live births, based on experience during the reference period before the survey. The reference period is ten years preceding the survey for DHS surveys, and the reference period varies for MICS surveys (often three to five years preceding the survey).
Under-5 mortality rate: Number of deaths to children under age five years per 1000 live births, based on experience during the reference period before the survey. The reference period is ten years preceding the survey for DHS surveys, and the reference period varies for MICS surveys (often three to five years preceding the survey).
Under-5 mortality rate: Number of deaths to children under age five years per 1000 live births, based on experience during the reference period before the survey. The reference period is ten years preceding the survey for DHS surveys, and the reference period varies for MICS surveys (often three to five years preceding the survey).
Under-5 mortality rate: Number of deaths to children under age five years per 1000 live births, based on experience during the reference period before the survey. The reference period is ten years preceding the survey for DHS surveys, and the reference period varies for MICS surveys (often three to five years preceding the survey).
Under-5 mortality rate: Number of deaths to children under age five years per 1000 live births, based on experience during the reference period before the survey. The reference period is ten years preceding the survey for DHS surveys, and the reference period varies for MICS surveys (often three to five years preceding the survey).
Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes,  or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).
Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes,  or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).
Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes,  or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).
Neonatal mortality rate is the number of neonates dying before reaching 28 days of age, per 1,000 live births in a given year.
Stillbirth rate is the number of fetal deaths at 28 weeks or more of gestation per 1,000 total births. Total birth is the sum of stillbirths (as just defined) and live births.
Acceptability of media messages on family planning: Percentage of all women who believe that it is acceptable to have messages about family planning on the radio or television.
Acceptability of media messages on family planning: Percentage of all women who believe that it is acceptable to have messages about family planning on the radio or television.
Acceptability of media messages on family planning: Percentage of all women who believe that it is acceptable to have messages about family planning on the radio or television.
Acceptability of media messages on family planning: Percentage of all women who believe that it is acceptable to have messages about family planning on the radio or television.
Acceptability of media messages on family planning: Percentage of all women who believe that it is acceptable to have messages about family planning on the radio or television.
Median age at first birth: Median age at first birth among women aged 25-49 years.
Median age at first birth: Median age at first birth among women aged 25-49 years.
Median age at first birth: Median age at first birth among women aged 25-49 years.
Median age at first birth: Median age at first birth among women aged 25-49 years.
Median age at first birth: Median age at first birth among women aged 25-49 years.
Median age at first marriage: Median age at first marriage among women aged 25-49 years.
Median age at first marriage: Median age at first marriage among women aged 25-49 years.
Median age at first marriage: Median age at first marriage among women aged 25-49 years.
Median age at first marriage: Median age at first marriage among women aged 25-49 years.
Median age at first marriage: Median age at first marriage among women aged 25-49 years.
Median age at first sexual intercourse: Median age at first sexual intercourse among women aged 25-49 years.
Median age at first sexual intercourse: Median age at first sexual intercourse among women aged 25-49 years.
Median age at first sexual intercourse: Median age at first sexual intercourse among women aged 25-49 years.
Median age at first sexual intercourse: Median age at first sexual intercourse among women aged 25-49 years.
Median age at first sexual intercourse: Median age at first sexual intercourse among women aged 25-49 years.
Heard family planning on radio and television: Percentage of all women who have heard a radio or television message about family planning in the last few months prior to the interview.
Heard family planning on radio and television: Percentage of all women who have heard a radio or television message about family planning in the last few months prior to the interview.
Heard family planning on radio and television: Percentage of all women who have heard a radio or television message about family planning in the last few months prior to the interview.
Heard family planning on radio and television: Percentage of all women who have heard a radio or television message about family planning in the last few months prior to the interview.
Heard family planning on radio and television: Percentage of all women who have heard a radio or television message about family planning in the last few months prior to the interview.
Mean ideal number of children: Mean ideal number of children for all women.
Mean ideal number of children: Mean ideal number of children for all women.
Mean ideal number of children: Mean ideal number of children for all women.
Mean ideal number of children: Mean ideal number of children for all women.
Mean ideal number of children: Mean ideal number of children for all women.
Percentage of all women ages 15-49 who know at least one of modern methods of contraception. Modern methods of contraception include female and male sterilization, contraceptive pills, intra-uterine device (IUD), injectables, implants, male and female condoms, diaphragm, contraceptive foam and contraceptive jelly female condom, lactational amenorrhea method (LAM), Standard days method (SDM), and emergency contraception.
Percentage of all men who know at least one of modern methods of contraception. Modern methods of contraception include female and male sterilization, contraceptive pills, intra-uterine device (IUD), injectables, implants, male and female condoms, diaphragm, contraceptive foam and contraceptive jelly female condom, lactational amenorrhea method (LAM), Standard days method (SDM), and emergency contraception. The age range of men depends on surveys.  In most DHS surveys, men ages 15-49, 15-54, or 15-59 are eligible for individual interviews.
Percentage of currently married or in union women ages 15-49 who know at least one of modern methods of contraception. Modern methods of contraception include female and male sterilization, contraceptive pills, intra-uterine device (IUD), injectables, implants, male and female condoms, diaphragm, contraceptive foam and contraceptive jelly female condom, lactational amenorrhea method (LAM), Standard days method (SDM), and emergency contraception.
Percentage of currently married or in union men who know at least one of modern methods of contraception. Modern methods of contraception include female and male sterilization, contraceptive pills, intra-uterine device (IUD), injectables, implants, male and female condoms, diaphragm, contraceptive foam and contraceptive jelly female condom, lactational amenorrhea method (LAM), Standard days method (SDM), and emergency contraception. In most DHS surveys, men ages 15-49, 15-54, or 15-59 are eligible for individual interviews.
Percentage of all women ages 15-49 who know any method of contraception.  Modern methods of contraception include female and male sterilization, contraceptive pills, intra-uterine device (IUD), injectables, implants, male and female condoms, diaphragm, contraceptive foam and contraceptive jelly female condom, lactational amenorrhea method (LAM), Standard days method (SDM), and emergency contraception. Traditional methods includes periodic abstinence (rhythm, calendar method) and withdrawal.
Percentage of all men who know any method of contraception. Modern methods of contraception include female and male sterilization, contraceptive pills, intra-uterine device (IUD), injectables, implants, male and female condoms, diaphragm, contraceptive foam and contraceptive jelly female condom, lactational amenorrhea method (LAM), Standard days method (SDM), and emergency contraception. Traditional methods includes periodic abstinence (rhythm, calendar method) and withdrawal.  The age range of men depends on surveys.  In most DHS surveys, men ages 15-49, 15-54, or 15-59 are eligible for individual interviews.
Percentage of currently married or in union women ages 15-49 who know any method of contraception. Modern methods of contraception include female and male sterilization, contraceptive pills, intra-uterine device (IUD), injectables, implants, male and female condoms, diaphragm, contraceptive foam and contraceptive jelly female condom, lactational amenorrhea method (LAM), Standard days method (SDM), and emergency contraception. Traditional methods includes periodic abstinence (rhythm, calendar method) and withdrawal.
Percentage of currently married or in union men who know any method of contraception.  Modern methods of contraception include female and male sterilization, contraceptive pills, intra-uterine device (IUD), injectables, implants, male and female condoms, diaphragm, contraceptive foam and contraceptive jelly female condom, lactational amenorrhea method (LAM), Standard days method (SDM), and emergency contraception. Traditional methods includes periodic abstinence (rhythm, calendar method) and withdrawal.  The age range of men depends on surveys.  In most DHS surveys, men ages 15-49, 15-54, or 15-59 are eligible for individual interviews.
Knowledge of contraception: Percentage of currently married women who know at least one contraceptive method and at least one modern contraceptive method.
Knowledge of contraception: Percentage of currently married women who know at least one contraceptive method and at least one modern contraceptive method.
Knowledge of contraception: Percentage of currently married women who know at least one contraceptive method and at least one modern contraceptive method.
Knowledge of contraception: Percentage of currently married women who know at least one contraceptive method and at least one modern contraceptive method.
Knowledge of contraception: Percentage of currently married women who know at least one contraceptive method and at least one modern contraceptive method.
Knowledge of contraception: Percentage of currently married women who know at least one contraceptive method and at least one modern contraceptive method.
Knowledge of contraception: Percentage of currently married women who know at least one contraceptive method and at least one modern contraceptive method.
Knowledge of contraception: Percentage of currently married women who know at least one contraceptive method and at least one modern contraceptive method.
Knowledge of contraception: Percentage of currently married women who know at least one contraceptive method and at least one modern contraceptive method.
Knowledge of contraception: Percentage of currently married women who know at least one contraceptive method and at least one modern contraceptive method.
Desire to stop (limit) childbearing: Percentage of currently married women who want no more children. Women who have been sterilized or whose spouses are sterilized, are considered to want no more children.
Desire to stop (limit) childbearing: Percentage of currently married women who want no more children. Women who have been sterilized or whose spouses are sterilized, are considered to want no more children.
Desire to stop (limit) childbearing: Percentage of currently married women who want no more children. Women who have been sterilized or whose spouses are sterilized, are considered to want no more children.
Desire to stop (limit) childbearing: Percentage of currently married women who want no more children. Women who have been sterilized or whose spouses are sterilized, are considered to want no more children.
Desire to stop (limit) childbearing: Percentage of currently married women who want no more children. Women who have been sterilized or whose spouses are sterilized, are considered to want no more children.
Median birth interval: Median duration of the birth interval in months for non-first births in the five years preceding the survey.
Median birth interval: Median duration of the birth interval in months for non-first births in the five years preceding the survey.
Median birth interval: Median duration of the birth interval in months for non-first births in the five years preceding the survey.
Median birth interval: Median duration of the birth interval in months for non-first births in the five years preceding the survey.
Median birth interval: Median duration of the birth interval in months for non-first births in the five years preceding the survey.
Fertility planning status: Percentage of births in the five years preceding the survey which are planned (wanted then), mistimed (wanted later), and unplanned (wanted no more).
Fertility planning status: Percentage of births in the five years preceding the survey which are planned (wanted then), mistimed (wanted later), and unplanned (wanted no more).
Fertility planning status: Percentage of births in the five years preceding the survey which are planned (wanted then), mistimed (wanted later), and unplanned (wanted no more).
Fertility planning status: Percentage of births in the five years preceding the survey which are planned (wanted then), mistimed (wanted later), and unplanned (wanted no more).
Fertility planning status: Percentage of births in the five years preceding the survey which are planned (wanted then), mistimed (wanted later), and unplanned (wanted no more).
The proportion of women ages 15-49 who reported the last birth in the five years preceding the survery was mistimed (wanted later).
Family planning messages in print: Percentage of all women who have received a message about family planning from printed media in the last few months prior to the interview.
Family planning messages in print: Percentage of all women who have received a message about family planning from printed media in the last few months prior to the interview.
Family planning messages in print: Percentage of all women who have received a message about family planning from printed media in the last few months prior to the interview.
Family planning messages in print: Percentage of all women who have received a message about family planning from printed media in the last few months prior to the interview.
Family planning messages in print: Percentage of all women who have received a message about family planning from printed media in the last few months prior to the interview.
Demand for family planning satisfied by any methods refers to the percentage of married women ages 15-49 whose need for family planning is satisfied.
Demand for family planning satisfied by modern methods refers to the percentage of married women ages 15-49 years whose need for family planning is satisfied with modern methods.
Fertility planning status: Percentage of births in the five years preceding the survey which are planned (wanted then), mistimed (wanted later), and unplanned (wanted no more).
Fertility planning status: Percentage of births in the five years preceding the survey which are planned (wanted then), mistimed (wanted later), and unplanned (wanted no more).
Fertility planning status: Percentage of births in the five years preceding the survey which are planned (wanted then), mistimed (wanted later), and unplanned (wanted no more).
Fertility planning status: Percentage of births in the five years preceding the survey which are planned (wanted then), mistimed (wanted later), and unplanned (wanted no more).
Fertility planning status: Percentage of births in the five years preceding the survey which are planned (wanted then), mistimed (wanted later), and unplanned (wanted no more).
The proportion of women ages 15-49 who reported the last birth in the five years preceding the survery was unwanted.
Fertility planning status: Percentage of births in the five years preceding the survey which are planned (wanted then), mistimed (wanted later), and unplanned (wanted no more).
Fertility planning status: Percentage of births in the five years preceding the survey which are planned (wanted then), mistimed (wanted later), and unplanned (wanted no more).
Fertility planning status: Percentage of births in the five years preceding the survey which are planned (wanted then), mistimed (wanted later), and unplanned (wanted no more).
Fertility planning status: Percentage of births in the five years preceding the survey which are planned (wanted then), mistimed (wanted later), and unplanned (wanted no more).
Fertility planning status: Percentage of births in the five years preceding the survey which are planned (wanted then), mistimed (wanted later), and unplanned (wanted no more).
The proportion of women ages 15-49 who reported the last birth in the five years preceding the survery was planned (wanted then).
The percentage of people using at least basic water services.  This indicator encompasses both people using basic water services as well as those using safely managed water services.  Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip.  Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.
The percentage of people using at least basic water services.  This indicator encompasses both people using basic water services as well as those using safely managed water services.  Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip.  Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.
The percentage of people using at least basic water services.  This indicator encompasses both people using basic water services as well as those using safely managed water services.  Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip.  Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.
Access to an improved water source, rural, refers to the percentage of the rural population using an improved drinking water source. The improved drinking water source includes piped water on premises (piped household water connection located inside the user’s dwelling, plot or yard), and other improved drinking water sources (public taps or standpipes, tube wells or boreholes, protected dug wells, protected springs, and rainwater collection).
Access to an improved water source, urban, refers to the percentage of the urban population using an improved drinking water source. The improved drinking water source includes piped water on premises (piped household water connection located inside the user’s dwelling, plot or yard), and other improved drinking water sources (public taps or standpipes, tube wells or boreholes, protected dug wells, protected springs, and rainwater collection).
Access to an improved water source refers to the percentage of the population using an improved drinking water source. The improved drinking water source includes piped water on premises (piped household water connection located inside the user’s dwelling, plot or yard), and other improved drinking water sources (public taps or standpipes, tube wells or boreholes, protected dug wells, protected springs, and rainwater collection).
The percentage of people using drinking water from an improved source that is accessible on premises, available when needed and free from faecal and priority chemical contamination. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.
The percentage of people using drinking water from an improved source that is accessible on premises, available when needed and free from faecal and priority chemical contamination. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.
The percentage of people using drinking water from an improved source that is accessible on premises, available when needed and free from faecal and priority chemical contamination. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.
Children living with HIV refers to the number of children ages 0-14 who are infected with HIV.
Prevalence of HIV, female refers to the percentage of females ages 15-24 who are infected with HIV based the high estimate.
Prevalence of HIV, female refers to the percentage of females ages 15-24 who are infected with HIV based the low estimate.
Prevalence of HIV, female is the percentage of females who are infected with HIV. Youth rates are as a percentage of the relevant age group.
The percent of female respondents ages 15-24 who correctly identify the two major ways of preventing the sexual transmission of HIV (using condoms and limiting sex to one faithful, uninfected partner), who reject the two most common local misconceptions about HIV transmission, and who know that a healthy-looking person can have HIV.
The percent of male respondents ages 15-24 who correctly identify the two major ways of preventing the sexual transmission of HIV (using condoms and limiting sex to one faithful, uninfected partner), who reject the two most common local misconceptions about HIV transmission, and who know that a healthy-looking person can have HIV.
Prevalence of HIV, male refers to the percentage of females ages 15-24 who are infected with HIV based the high estimate.
Prevalence of HIV, male refers to the percentage of females ages 15-24 who are infected with HIV based the low estimate.
Prevalence of HIV, male is the percentage of males who are infected with HIV. Youth rates are as a percentage of the relevant age group.
The percentage of adult females living with HIV who are receiving antiretroviral therapy.
The percentage of adult males living with HIV who are receiving antiretroviral therapy.
Antiretroviral therapy coverage indicates the percentage of all people living with HIV who are receiving antiretroviral therapy.
Deaths due to HIV/AIDS are the estimated number of adults and children that have died in a specific year based in the modeling of HIV surveillance data using standard and appropriate tools.
Deaths due to HIV/AIDS are the estimated number of adults and children that have died in a specific year based in the modeling of HIV surveillance data using standard and appropriate tools.
Deaths due to HIV/AIDS are the estimated number of adults and children that have died in a specific year based in the modeling of HIV surveillance data using standard and appropriate tools.
Number of adults (ages 15-49) newly infected with HIV.
Number of children (ages 0-14) newly infected with HIV.
Number of new HIV infections among uninfected populations ages 50+ expressed per 1,000 uninfected population ages 50+ in the year before the period.
Number of new HIV infections among uninfected female populations ages 15-49 expressed per 1,000 uninfected female population ages 15-49 in the year before the period.
Number of new HIV infections among uninfected male populations ages 15-49 expressed per 1,000 uninfected male population ages 15-49 in the year before the period.
Number of adults (ages 15+) and children (ages 0-14) newly infected with HIV.
Number of new HIV infections among uninfected populations expressed per 1,000 uninfected population in the year before the period.
Number of young people (ages 15-24) newly infected with HIV.
Number of new HIV infections among uninfected male populations ages 15-24 expressed per 1,000 uninfected male population ages 15-24 in the year before the period.
Number of new HIV infections among uninfected female populations ages 15-24 expressed per 1,000 uninfected female population ages 15-24 in the year before the period.
Number of new HIV infections among uninfected populations ages 15-24 expressed per 1,000 uninfected population ages 15-24 in the year before the period.
Number of new HIV infections among uninfected populations ages 15-49 expressed per 1,000 uninfected population in the year before the period.
Knowledge of HIV, female, is the percentage of female respondents who correctly identify the two major ways of preventing the sexual transmission of HIV (using condoms and limiting sex to one faithful, uninfected partner), who reject the two most common local misconceptions about HIV transmission, and who know that a healthy-looking person can have HIV.
Knowledge of HIV, male, is the percentage of male respondents who correctly identify the two major ways of preventing the sexual transmission of HIV (using condoms and limiting sex to one faithful, uninfected partner), who reject the two most common local misconceptions about HIV transmission, and who know that a healthy-looking person can have HIV.
Estimated number of children (0-14 years) newly infected with HIV, high estimate.
Estimated number of children (0-14 years) newly infected with HIV, low estimate.
Estimated number of children (0-14 years) newly infected with HIV.
Estimated number of people newly infected with HIV, high estimate.
Estimated number of people newly infected with HIV, low estimate.
Estimated number of people newly infected with HIV.
AIDS orphans are the estimated number of children who have lost their mother or both parents to AIDS before age 17 since the epidemic began in 1990. Some of the orphaned children included in this cumulative total are no longer alive; others are no longer under age 17.
AIDS orphans are the estimated number of children who have lost their mother or both parents to AIDS before age 17 since the epidemic began in 1990. Some of the orphaned children included in this cumulative total are no longer alive; others are no longer under age 17.
AIDS orphans are the estimated number of children who have lost their mother or both parents to AIDS before age 17 since the epidemic began in 1990. Some of the orphaned children included in this cumulative total are no longer alive; others are no longer under age 17.
Number of children orphaned by HIV/AIDS is the estimated number of children who have lost their mother or both parents to AIDS before age 15 since the epidemic began. Some of the orphaned children included in this cumulative total are no longer alive; others are no longer under age 15.
Percentage of pregnant women with HIV who receive antiretroviral medicine for prevention of mother-to-child transmission (PMTCT).
Percentage of HIV-infected pregnant women who received antiretrovirals to reduce the risk of mother-to-child transmission.  Numerator: Number of HIV-infected pregnant women who received antiretrovirals during the last 12 months to reduce mother-to-child transmission.  Denominator: Estimated number of HIV-infected pregnant women in the last 12 months.  Ranges are presented for countries with low and concentrated epidemics.  The purpose of this indicator is to assess progress in preventing vertical transmission of HIV.  All data reflect values representing 12 month period ending December 2007 which have been reconciled between reporting country and UNAIDS/WHO/UNICEF, unless otherwise noted.  All analysis of this indicator, including quoted country figures, reflect numerators which have gone through a tri agency reconciliation (UNAIDS/WHO/UNICEF) process and denominators which have been estimated directly from the UNAIDS/WHO Reference group on Estimates, Modelling and Projections methodology (Spectrum).  The reconciliation process ensured all agencies reported the same country endorsed figure which was the most recent and met the definition of HIV-infected women receiving antiretroviral drugs over the last 12 months, and thus reflect a full year. Every effort was made in cases of discrepancy across the three agencies to obtain approval from the country on a final indicator value.
Percentage of HIV-infected pregnant women who received antiretrovirals to reduce the risk of mother-to-child transmission.  Numerator: Number of HIV-infected pregnant women who received antiretrovirals during the last 12 months to reduce mother-to-child transmission.  Denominator: Estimated number of HIV-infected pregnant women in the last 12 months.  Ranges are presented for countries with low and concentrated epidemics.  The purpose of this indicator is to assess progress in preventing vertical transmission of HIV.  All data reflect values representing 12 month period ending December 2007 which have been reconciled between reporting country and UNAIDS/WHO/UNICEF, unless otherwise noted.  All analysis of this indicator, including quoted country figures, reflect numerators which have gone through a tri agency reconciliation (UNAIDS/WHO/UNICEF) process and denominators which have been estimated directly from the UNAIDS/WHO Reference group on Estimates, Modelling and Projections methodology (Spectrum).  The reconciliation process ensured all agencies reported the same country endorsed figure which was the most recent and met the definition of HIV-infected women receiving antiretroviral drugs over the last 12 months, and thus reflect a full year. Every effort was made in cases of discrepancy across the three agencies to obtain approval from the country on a final indicator value.
Number of HIV-infected pregnant women who received antiretrovirals during the last 12 months to reduce mother-to-child transmission.  The purpose of this indicator is to assess progress in preventing vertical transmission of HIV.
Percentage of HIV-infected pregnant women who received antiretrovirals to reduce the risk of mother-to-child transmission.  Numerator: Number of HIV-infected pregnant women who received antiretrovirals during the last 12 months to reduce mother-to-child transmission.  Denominator: Estimated number of HIV-infected pregnant women in the last 12 months.  The purpose of this indicator is to assess progress in preventing vertical transmission of HIV.  All data reflect values representing 12 month period ending December 2007 which have been reconciled between reporting country and UNAIDS/WHO/UNICEF, unless otherwise noted.  All analysis of this indicator, including quoted country figures, reflect numerators which have gone through a tri agency reconciliation (UNAIDS/WHO/UNICEF) process and denominators which have been estimated directly from the UNAIDS/WHO Reference group on Estimates, Modelling and Projections methodology (Spectrum).  The reconciliation process ensured all agencies reported the same country endorsed figure which was the most recent and met the definition of HIV-infected women receiving antiretroviral drugs over the last 12 months, and thus reflect a full year. Every effort was made in cases of discrepancy across the three agencies to obtain approval from the country on a final indicator value.
Adults and children living with HIV refers to the number of people ages 0-49 (adult ages 15-49 and children ages 0-14) who are infected with HIV.
Estimated total number of people with HIV/AIDS is the number of people living with HIV. Depending on the reliability of the data available, there may be more or less uncertainty surrounding each estimate.
Estimated total number of people with HIV/AIDS is the number of people living with HIV. Depending on the reliability of the data available, there may be more or less uncertainty surrounding each estimate.
Estimated total number of people with HIV/AIDS is the number of people living with HIV. Depending on the reliability of the data available, there may be more or less uncertainty surrounding each estimate.
Prevalence of hypertension, female, is the percentage of female adults ages 30-79 with hypertension (defined as having systolic blood pressure =140 mmHg, diastolic blood pressure =90 mmHg, or taking medication for hypertension).	The data is age-standardized.
Prevalence of hypertension, male, is the percentage of male adults ages 30-79 with hypertension (defined as having systolic blood pressure =140 mmHg, diastolic blood pressure =90 mmHg, or taking medication for hypertension).	The data is age-standardized.
Prevalence of hypertension is the percentage of adults ages 30-79 with hypertension (defined as having systolic blood pressure =140 mmHg, diastolic blood pressure =90 mmHg, or taking medication for hypertension).	The data is age-standardized.
Treatment for hypertension is the percentage of adults ages 30-79 with hypertension who were taking medicine for hypertension.  Hypertension is defined as having systolic blood pressure =140 mmHg, diastolic blood pressure =90 mmHg, or taking medication for hypertension.
Treatment for hypertension, male, is the percentage of adults ages 30-79 with hypertension who were taking medicine for hypertension.  Hypertension is defined as having systolic blood pressure =140 mmHg, diastolic blood pressure =90 mmHg, or taking medication for hypertension.
Treatment for hypertension is the percentage of adults ages 30-79 with hypertension who were taking medicine for hypertension.  Hypertension is defined as having systolic blood pressure =140 mmHg, diastolic blood pressure =90 mmHg, or taking medication for hypertension.
Vaccinations: Percentage of children 12-23 months who have received specific vaccines by the time of the survey (according to the vaccination card or the mother's report). Children with all vaccinations refer children who have received BCG, measles, and three doses each of DPT and polio vaccine (excluding polio 0). Some MICS surveys refer children in different age groups (e.g. 18-29 months, or 15-26 months).
Vaccinations: Percentage of children 12-23 months who have received specific vaccines by the time of the survey (according to the vaccination card or the mother's report). Children with all vaccinations refer children who have received BCG, measles, and three doses each of DPT and polio vaccine (excluding polio 0). Some MICS surveys refer children in different age groups (e.g. 18-29 months, or 15-26 months).
Vaccinations: Percentage of children 12-23 months who have received specific vaccines by the time of the survey (according to the vaccination card or the mother's report). Children with all vaccinations refer children who have received BCG, measles, and three doses each of DPT and polio vaccine (excluding polio 0). Some MICS surveys refer children in different age groups (e.g. 18-29 months, or 15-26 months).
Vaccinations: Percentage of children 12-23 months who have received specific vaccines by the time of the survey (according to the vaccination card or the mother's report). Children with all vaccinations refer children who have received BCG, measles, and three doses each of DPT and polio vaccine (excluding polio 0). Some MICS surveys refer children in different age groups (e.g. 18-29 months, or 15-26 months).
Vaccinations: Percentage of children 12-23 months who have received specific vaccines by the time of the survey (according to the vaccination card or the mother's report). Children with all vaccinations refer children who have received BCG, measles, and three doses each of DPT and polio vaccine (excluding polio 0). Some MICS surveys refer children in different age groups (e.g. 18-29 months, or 15-26 months).
Immunization is the process whereby weakened bacteria is injected or taken orally for the purpose of developing an immunity towards a particular disease.
Child immunization rate, hepatitis B is the percentage of children ages 12-23 months who received hepatitis B vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized after three doses.
Child immunization, Hib3, measures the percentage of children ages 12-23 months who received Hib3 vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized against Hib3 after receiving three doses of Haemophilus influenzae type b vaccine.
Child immunization rate, BCG is the percentage of children ages 12-23 months who received vaccinations before 12 months or at any time before the survey for BCG. A child is considered adequately immunized after one dose.
Vaccinations: Percentage of children 12-23 months who have received specific vaccines by the time of the survey (according to the vaccination card or the mother's report). Children with all vaccinations refer children who have received BCG, measles, and three doses each of DPT and polio vaccine (excluding polio 0). Some MICS surveys refer children in different age groups (e.g. 18-29 months, or 15-26 months).
Vaccinations: Percentage of children 12-23 months who have received specific vaccines by the time of the survey (according to the vaccination card or the mother's report). Children with all vaccinations refer children who have received BCG, measles, and three doses each of DPT and polio vaccine (excluding polio 0). Some MICS surveys refer children in different age groups (e.g. 18-29 months, or 15-26 months).
Vaccinations: Percentage of children 12-23 months who have received specific vaccines by the time of the survey (according to the vaccination card or the mother's report). Children with all vaccinations refer children who have received BCG, measles, and three doses each of DPT and polio vaccine (excluding polio 0). Some MICS surveys refer children in different age groups (e.g. 18-29 months, or 15-26 months).
Vaccinations: Percentage of children 12-23 months who have received specific vaccines by the time of the survey (according to the vaccination card or the mother's report). Children with all vaccinations refer children who have received BCG, measles, and three doses each of DPT and polio vaccine (excluding polio 0). Some MICS surveys refer children in different age groups (e.g. 18-29 months, or 15-26 months).
Vaccinations: Percentage of children 12-23 months who have received specific vaccines by the time of the survey (according to the vaccination card or the mother's report). Children with all vaccinations refer children who have received BCG, measles, and three doses each of DPT and polio vaccine (excluding polio 0). Some MICS surveys refer children in different age groups (e.g. 18-29 months, or 15-26 months).
Child immunization, DPT, measures the percentage of children ages 12-23 months who received DPT vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized against diphtheria, pertussis (or whooping cough), and tetanus (DPT) after receiving three doses of vaccine.
Vaccinations: Percentage of children 12-23 months who have received specific vaccines by the time of the survey (according to the vaccination card or the mother's report). Children with all vaccinations refer children who have received BCG, measles, and three doses each of DPT and polio vaccine (excluding polio 0). Some MICS surveys refer children in different age groups (e.g. 18-29 months, or 15-26 months).
Vaccinations: Percentage of children 12-23 months who have received specific vaccines by the time of the survey (according to the vaccination card or the mother's report). Children with all vaccinations refer children who have received BCG, measles, and three doses each of DPT and polio vaccine (excluding polio 0). Some MICS surveys refer children in different age groups (e.g. 18-29 months, or 15-26 months).
Vaccinations: Percentage of children 12-23 months who have received specific vaccines by the time of the survey (according to the vaccination card or the mother's report). Children with all vaccinations refer children who have received BCG, measles, and three doses each of DPT and polio vaccine (excluding polio 0). Some MICS surveys refer children in different age groups (e.g. 18-29 months, or 15-26 months).
Vaccinations: Percentage of children 12-23 months who have received specific vaccines by the time of the survey (according to the vaccination card or the mother's report). Children with all vaccinations refer children who have received BCG, measles, and three doses each of DPT and polio vaccine (excluding polio 0). Some MICS surveys refer children in different age groups (e.g. 18-29 months, or 15-26 months).
Vaccinations: Percentage of children 12-23 months who have received specific vaccines by the time of the survey (according to the vaccination card or the mother's report). Children with all vaccinations refer children who have received BCG, measles, and three doses each of DPT and polio vaccine (excluding polio 0). Some MICS surveys refer children in different age groups (e.g. 18-29 months, or 15-26 months).
Child immunization, measles second dose, measures the percentage of children who received two dose of measles containing vaccine according to nationally recommended schedule through routine immunization services in a given year.
Child immunization, measles, measures the percentage of children ages 12-23 months who received the measles vaccination before 12 months or at any time before the survey. A child is considered adequately immunized against measles after receiving one dose of vaccine.
Vaccinations: Percentage of children 12-23 months who have received specific vaccines by the time of the survey (according to the vaccination card or the mother's report). Children with all vaccinations refer children who have received BCG, measles, and three doses each of DPT and polio vaccine (excluding polio 0). Some MICS surveys refer children in different age groups (e.g. 18-29 months, or 15-26 months).
Vaccinations: Percentage of children 12-23 months who have received specific vaccines by the time of the survey (according to the vaccination card or the mother's report). Children with all vaccinations refer children who have received BCG, measles, and three doses each of DPT and polio vaccine (excluding polio 0). Some MICS surveys refer children in different age groups (e.g. 18-29 months, or 15-26 months).
Vaccinations: Percentage of children 12-23 months who have received specific vaccines by the time of the survey (according to the vaccination card or the mother's report). Children with all vaccinations refer children who have received BCG, measles, and three doses each of DPT and polio vaccine (excluding polio 0). Some MICS surveys refer children in different age groups (e.g. 18-29 months, or 15-26 months).
Vaccinations: Percentage of children 12-23 months who have received specific vaccines by the time of the survey (according to the vaccination card or the mother's report). Children with all vaccinations refer children who have received BCG, measles, and three doses each of DPT and polio vaccine (excluding polio 0). Some MICS surveys refer children in different age groups (e.g. 18-29 months, or 15-26 months).
Vaccinations: Percentage of children 12-23 months who have received specific vaccines by the time of the survey (according to the vaccination card or the mother's report). Children with all vaccinations refer children who have received BCG, measles, and three doses each of DPT and polio vaccine (excluding polio 0). Some MICS surveys refer children in different age groups (e.g. 18-29 months, or 15-26 months).
Vaccinations: Percentage of children 12-23 months who have received specific vaccines by the time of the survey (according to the vaccination card or the mother's report). Children with all vaccinations refer children who have received BCG, measles, and three doses each of DPT and polio vaccine (excluding polio 0). Some MICS surveys refer children in different age groups (e.g. 18-29 months, or 15-26 months).
Vaccinations: Percentage of children 12-23 months who have received specific vaccines by the time of the survey (according to the vaccination card or the mother's report). Children with all vaccinations refer children who have received BCG, measles, and three doses each of DPT and polio vaccine (excluding polio 0). Some MICS surveys refer children in different age groups (e.g. 18-29 months, or 15-26 months).
Vaccinations: Percentage of children 12-23 months who have received specific vaccines by the time of the survey (according to the vaccination card or the mother's report). Children with all vaccinations refer children who have received BCG, measles, and three doses each of DPT and polio vaccine (excluding polio 0). Some MICS surveys refer children in different age groups (e.g. 18-29 months, or 15-26 months).
Vaccinations: Percentage of children 12-23 months who have received specific vaccines by the time of the survey (according to the vaccination card or the mother's report). Children with all vaccinations refer children who have received BCG, measles, and three doses each of DPT and polio vaccine (excluding polio 0). Some MICS surveys refer children in different age groups (e.g. 18-29 months, or 15-26 months).
Vaccinations: Percentage of children 12-23 months who have received specific vaccines by the time of the survey (according to the vaccination card or the mother's report). Children with all vaccinations refer children who have received BCG, measles, and three doses each of DPT and polio vaccine (excluding polio 0). Some MICS surveys refer children in different age groups (e.g. 18-29 months, or 15-26 months).
Child immunization rate, polio, is the percentage of children ages 12-23 months who received polio vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized after three doses.
Hospital beds include inpatient beds available in public, private, general, and specialized hospitals and rehabilitation centers. In most cases beds for both acute and chronic care are included.
Community health workers include various types of community health aides, many with country-specific occupational titles such as community health officers, community health-education workers, family health workers, lady health visitors and health extension package workers.
Nurses and midwives include professional nurses, professional midwives, auxiliary nurses, auxiliary midwives, enrolled nurses, enrolled midwives and other associated personnel, such as dental nurses and primary care nurses.
Physicians include generalist and specialist medical practitioners.
Specialist surgical workforce is the number of specialist surgical, anaesthetic, and obstetric (SAO) providers who are working in each country per 100,000 population.
Number of clinical malaria cases reported are the sum of cases confirmed by slide examination or RDT and probable and unconfirmed cases (cases that were not tested but treated as malaria). NMCPs often collect data on the number of suspected cases, those t
"Malaria mortality is the percentage of deaths due to malaria among children under five years.  Malaria was the underlying cause of death, that is, the disease which initiated the train of morbid events leading directly to death. This is the distribution of main causes of death among children aged < 5 years, expressed as percentage of total deaths.
 "
Reported malaria deaths include all deaths in health facilities that are attributed to malaria, whether or not confirmed by microscopy or by RDT.   Deaths reported before 2000 can be probable and confirmed or only confirmed deaths depending on the country
Malaria incidence is expressed as the number of new cases of malaria per 100,000 people each year. The number of cases reported is adjusted to take into account incompleteness in reporting systems, patients seeking treatment in the private sector, self-medicating or not seeking treatment at all, and potential over-diagnosis through the lack of laboratory confirmation of cases.
Incidence of malaria is the number of new cases of malaria in a year per 1,000 population at risk.
Percentage of women aged 15 - 49 with a live birth in the recent years preceding the survey who received 3+ doses of sulfadoxine-pyrimethamine (SP/Fansidar), at least one during an antenatal care visit. Intermittent Preventive Treatment (IPT) is preventive treatment with SP/Fansidar during an antenatal care (ANC) visit treatment with a dose of sulfadoxine-pyrimethamine (SP/Fansidar) to pregnant women at each scheduled antenatal visit after the first trimester, but not more frequently than once a month.
Percentage of households owning at least one insecticide-treated bednet (ITN).
Mosquito net use by children: Percentage of children under age five years who slept under any mosquito net (treated or untreated), and an insecticide-treated net (ITN) the night before the survey.
Mosquito net use by children: Percentage of children under age five years who slept under any mosquito net (treated or untreated), and an insecticide-treated net (ITN) the night before the survey.
Mosquito net use by children: Percentage of children under age five years who slept under any mosquito net (treated or untreated), and an insecticide-treated net (ITN) the night before the survey.
Mosquito net use by children: Percentage of children under age five years who slept under any mosquito net (treated or untreated), and an insecticide-treated net (ITN) the night before the survey.
Mosquito net use by children: Percentage of children under age five years who slept under any mosquito net (treated or untreated), and an insecticide-treated net (ITN) the night before the survey.
Household possession of mosquito nets: Percentage of households with at least one any type of mosquito net (treated or untreated), and insecticide-treated net (ITN).
Household possession of mosquito nets: Percentage of households with at least one any type of mosquito net (treated or untreated), and insecticide-treated net (ITN).
Household possession of mosquito nets: Percentage of households with at least one any type of mosquito net (treated or untreated), and insecticide-treated net (ITN).
Household possession of mosquito nets: Percentage of households with at least one any type of mosquito net (treated or untreated), and insecticide-treated net (ITN).
Household possession of mosquito nets: Percentage of households with at least one any type of mosquito net (treated or untreated), and insecticide-treated net (ITN).
Mosquito net use by pregnant women: Percentage of pregnant women who slept under any mosquito net (treated or untreated), and an insecticide-treated net (ITN) the night before the survey.
Mosquito net use by pregnant women: Percentage of pregnant women who slept under any mosquito net (treated or untreated), and an insecticide-treated net (ITN) the night before the survey.
Mosquito net use by pregnant women: Percentage of pregnant women who slept under any mosquito net (treated or untreated), and an insecticide-treated net (ITN) the night before the survey.
Mosquito net use by pregnant women: Percentage of pregnant women who slept under any mosquito net (treated or untreated), and an insecticide-treated net (ITN) the night before the survey.
Mosquito net use by pregnant women: Percentage of pregnant women who slept under any mosquito net (treated or untreated), and an insecticide-treated net (ITN) the night before the survey.
Use of bed nets by children in the poorest quintile refers to the percentage of children under age five in the poorest quintile who slept under an any type of mosquito bednet to prevent malaria.
Mosquito net use by children: Percentage of children under age five years who slept under any mosquito net (treated or untreated), and an insecticide-treated net (ITN) the night before the survey.
Mosquito net use by children: Percentage of children under age five years who slept under any mosquito net (treated or untreated), and an insecticide-treated net (ITN) the night before the survey.
Mosquito net use by children: Percentage of children under age five years who slept under any mosquito net (treated or untreated), and an insecticide-treated net (ITN) the night before the survey.
Use of bed nets by children in the richest quintile refers to the percentage of children under age five in the richest quintile who slept under an any type of mosquito bednet to prevent malaria.
Use of insecticide-treated bed nets refers to the percentage of children under age five who slept under an insecticide-treated bednet to prevent malaria.
Household possession of mosquito nets: Percentage of households with at least one any type of mosquito net (treated or untreated), and insecticide-treated net (ITN).
Household possession of mosquito nets: Percentage of households with at least one any type of mosquito net (treated or untreated), and insecticide-treated net (ITN).
Household possession of mosquito nets: Percentage of households with at least one any type of mosquito net (treated or untreated), and insecticide-treated net (ITN).
Household possession of mosquito nets: Percentage of households with at least one any type of mosquito net (treated or untreated), and insecticide-treated net (ITN).
Household possession of mosquito nets: Percentage of households with at least one any type of mosquito net (treated or untreated), and insecticide-treated net (ITN).
Mosquito net use by pregnant women: Percentage of pregnant women who slept under any mosquito net (treated or untreated), and an insecticide-treated net (ITN) the night before the survey.
Mosquito net use by pregnant women: Percentage of pregnant women who slept under any mosquito net (treated or untreated), and an insecticide-treated net (ITN) the night before the survey.
Mosquito net use by pregnant women: Percentage of pregnant women who slept under any mosquito net (treated or untreated), and an insecticide-treated net (ITN) the night before the survey.
Mosquito net use by pregnant women: Percentage of pregnant women who slept under any mosquito net (treated or untreated), and an insecticide-treated net (ITN) the night before the survey.
Mosquito net use by pregnant women: Percentage of pregnant women who slept under any mosquito net (treated or untreated), and an insecticide-treated net (ITN) the night before the survey.
Percentage of pregnant women reporting to have received IPT (intermittent preventive treatment; 2 or more doses).
Anti-malarial drug use by pregnant women: Percentage of women with a live birth in the two years preceding the survey who during the pregnancy took any antimalarial drug for prevention, and who took SP/Fansidar two or more doses.
Anti-malarial drug use by pregnant women: Percentage of women with a live birth in the two years preceding the survey who during the pregnancy took any antimalarial drug for prevention, and who took SP/Fansidar two or more doses.
Anti-malarial drug use by pregnant women: Percentage of women with a live birth in the two years preceding the survey who during the pregnancy took any antimalarial drug for prevention, and who took SP/Fansidar two or more doses.
Anti-malarial drug use by pregnant women: Percentage of women with a live birth in the two years preceding the survey who during the pregnancy took any antimalarial drug for prevention, and who took SP/Fansidar two or more doses.
Anti-malarial drug use by pregnant women: Percentage of women with a live birth in the two years preceding the survey who during the pregnancy took any antimalarial drug for prevention, and who took SP/Fansidar two or more doses.
Treatment of fever: Percentage of children under age five years with fever in the two weeks preceding the survey who took antimalarial drugs.
Treatment of fever: Percentage of children under age five years with fever in the two weeks preceding the survey who took antimalarial drugs.
Treatment of fever: Percentage of children under age five years with fever in the two weeks preceding the survey who took antimalarial drugs.
Treatment of fever: Percentage of children under age five years with fever in the two weeks preceding the survey who took antimalarial drugs.
Treatment of fever: Percentage of children under age five years with fever in the two weeks preceding the survey who took antimalarial drugs.
Malaria treatment refers to the percentage of children under age five who were ill with fever in the last two weeks and received any appropriate (locally defined) anti-malarial drugs.
A maternal death refers to the death of a woman while pregnant or within 42 days of termination of pregnancy, irrespective of the duration and site of the pregnancy, from any cause related to or aggravated by the pregnancy or its management but not from accidental or incidental causes.
The indicator refers to leave available only to the mother for the birth of a child to be taken just before, during and immediately after childbirth.
The indicator measures  whether women are legally entitled to at least 14 weeks (98 calendar days) of paid leave for the birth of a child through maternity leave, parental leave or a combination of both.
The indicator measures whether leave benefits are fully administered by a government entity, including compulsory social insurance schemes (such as social security), public funds, government-mandated private insurance or employer reimbursement of any maternity leave benefits paid directly to an employee.
Life time risk of maternal death is the probability that a 15-year-old female will die eventually from a maternal cause assuming that current levels of fertility and mortality (including maternal mortality) do not change in the future, taking into account competing causes of death.
Life time risk of maternal death is the probability that a 15-year-old female will die eventually from a maternal cause assuming that current levels of fertility and mortality (including maternal mortality) do not change in the future, taking into account competing causes of death.
Maternity leave benefits refers to the total percentage of wages covered by all sources during paid maternity leave.
The indicator refers to parental leave that can be shared amongst the parents as they choose. Parental leave refers to leave available equally to parents—regardless of gender—for the purpose of childcare immediately following maternity and paternity leave OR instead of maternity and paternity leave.
The indicator measures whether both parents are legally entitled to some form of full-time paid parental leave either shared between mother and father or as an individual entitlement that each can take regardless of the other.
The indicator refers to days of parental leave reserved specifically for mothers—through “use-it-or-lose-it” policies or mothers’ quotas; or days of parental leave that employees are individually entitled to.
The indicator refers to days of parental leave reserved specifically for fathers—that is, through “use-it-or-lose-it” policies or fathers’ quotas; or days of parental leave that employees are individually entitled to.
Prevalence of anemia, pregnant women, is the percentage of pregnant women whose hemoglobin level is less than 110 grams per liter at sea level.
Percentage of women attending antenatal care seropositive for syphilis
The percentage of the population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population.
The percentage of the female population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population.
Smoking: Percentage of all women who smoke cigarettes, pipe or other tobacco.
Smoking: Percentage of all women who smoke cigarettes, pipe or other tobacco.
Smoking: Percentage of all women who smoke cigarettes, pipe or other tobacco.
Smoking: Percentage of all women who smoke cigarettes, pipe or other tobacco.
Smoking: Percentage of all women who smoke cigarettes, pipe or other tobacco.
The percentage of the male population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population.
The indicator refers to leave available only to the father for the birth of a child.
The indicator measures whether fathers are legally entitled to at least one day of paid leave for the birth of a child, or if the law reserves a portion of paid parental leave specifically for fathers—that is, through “use-it-or-lose-it” policies or fathers’ quotas; or if fathers are individually entitled to paid parental leave.
The proportion of population at risk of catastrophic expenditure when surgical care is required. Catastrophic expenditure is defined as direct out of pocket payments for surgical and anaesthesia care exceeding 10% of total income.
The proportion of population at risk of impoverishing expenditure when surgical care is required. Impoverishing expenditure is defined as direct out of pocket payments for surgical and anaesthesia care which drive people below a poverty threshold (using a threshold of $2.15 PPP/day).
The number of procedures undertaken in an operating theatre per 100,000 population per year in each country. A procedure is defined as the incision, excision, or manipulation of tissue that needs regional or general anaesthesia, or profound sedation to control pain.
Access to improved sanitation facilities refers to the percentage of the population using improved sanitation facilities. Improved sanitation facilities are likely to ensure hygienic separation of human excreta from human contact. They include flush/pour flush (to piped sewer system, septic tank, pit latrine), ventilated improved pit (VIP) latrine, pit latrine with slab, and composting toilet.
Access to improved sanitation facilities, rural, refers to the percentage of the rural population using improved sanitation facilities. Improved sanitation facilities are likely to ensure hygienic separation of human excreta from human contact. They include flush/pour flush (to piped sewer system, septic tank, pit latrine), ventilated improved pit (VIP) latrine, pit latrine with slab, and composting toilet.
Access to improved sanitation facilities, urban, refers to the percentage of the urban population using improved sanitation facilities. Improved sanitation facilities are likely to ensure hygienic separation of human excreta from human contact. They include flush/pour flush (to piped sewer system, septic tank, pit latrine), ventilated improved pit (VIP) latrine, pit latrine with slab, and composting toilet.
Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized.  Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).
Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized.  Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).
Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized.  Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).
Components of antenatal care: Percentage of women with a live birth in the three years preceding the survey who received iron tablets or syrup during pregnancy before the most recent birth.
Components of antenatal care: Percentage of women with a live birth in the three years preceding the survey who received iron tablets or syrup during pregnancy before the most recent birth.
Components of antenatal care: Percentage of women with a live birth in the three years preceding the survey who received iron tablets or syrup during pregnancy before the most recent birth.
Components of antenatal care: Percentage of women with a live birth in the three years preceding the survey who received iron tablets or syrup during pregnancy before the most recent birth.
Components of antenatal care: Percentage of women with a live birth in the three years preceding the survey who received iron tablets or syrup during pregnancy before the most recent birth.
Pregnant women receiving prenatal care, at least four times, are the percentage of women attended at least four times during pregnancy by skilled health personnel for reasons related to pregnancy.
Antenatal care: Percentage of women with one or more live births in the three (one, two) years preceding the survey who have received at least one antenatal care during pregnancy before the most recent birth from any skilled personnel and from a doctor. If the respondent mentioned more than one provider, only the most qualified provider is considered. The DHS surveys refer births in the three years preceding the survey, the MICS2 surveys refer births in the one year preceding the survey, and the MICS3 surveys refer births in the two years preceding the survey.
Antenatal care: Percentage of women with one or more live births in the three (one, two) years preceding the survey who have received at least one antenatal care during pregnancy before the most recent birth from any skilled personnel and from a doctor. If the respondent mentioned more than one provider, only the most qualified provider is considered. The DHS surveys refer births in the three years preceding the survey, the MICS2 surveys refer births in the one year preceding the survey, and the MICS3 surveys refer births in the two years preceding the survey.
Antenatal care: Percentage of women with one or more live births in the three (one, two) years preceding the survey who have received at least one antenatal care during pregnancy before the most recent birth from any skilled personnel and from a doctor. If the respondent mentioned more than one provider, only the most qualified provider is considered. The DHS surveys refer births in the three years preceding the survey, the MICS2 surveys refer births in the one year preceding the survey, and the MICS3 surveys refer births in the two years preceding the survey.
Antenatal care: Percentage of women with one or more live births in the three (one, two) years preceding the survey who have received at least one antenatal care during pregnancy before the most recent birth from any skilled personnel and from a doctor. If the respondent mentioned more than one provider, only the most qualified provider is considered. The DHS surveys refer births in the three years preceding the survey, the MICS2 surveys refer births in the one year preceding the survey, and the MICS3 surveys refer births in the two years preceding the survey.
Antenatal care: Percentage of women with one or more live births in the three (one, two) years preceding the survey who have received at least one antenatal care during pregnancy before the most recent birth from any skilled personnel and from a doctor. If the respondent mentioned more than one provider, only the most qualified provider is considered. The DHS surveys refer births in the three years preceding the survey, the MICS2 surveys refer births in the one year preceding the survey, and the MICS3 surveys refer births in the two years preceding the survey.
Pregnant women receiving prenatal care are the percentage of women attended at least once during pregnancy by skilled health personnel for reasons related to pregnancy.
Antenatal care: Percentage of women with one or more live births in the three (one, two) years preceding the survey who have received at least one antenatal care during pregnancy before the most recent birth from any skilled personnel and from a doctor. If the respondent mentioned more than one provider, only the most qualified provider is considered. The DHS surveys refer births in the three years preceding the survey, the MICS2 surveys refer births in the one year preceding the survey, and the MICS3 surveys refer births in the two years preceding the survey.
Antenatal care: Percentage of women with one or more live births in the three (one, two) years preceding the survey who have received at least one antenatal care during pregnancy before the most recent birth from any skilled personnel and from a doctor. If the respondent mentioned more than one provider, only the most qualified provider is considered. The DHS surveys refer births in the three years preceding the survey, the MICS2 surveys refer births in the one year preceding the survey, and the MICS3 surveys refer births in the two years preceding the survey.
Antenatal care: Percentage of women with one or more live births in the three (one, two) years preceding the survey who have received at least one antenatal care during pregnancy before the most recent birth from any skilled personnel and from a doctor. If the respondent mentioned more than one provider, only the most qualified provider is considered. The DHS surveys refer births in the three years preceding the survey, the MICS2 surveys refer births in the one year preceding the survey, and the MICS3 surveys refer births in the two years preceding the survey.
Antenatal care: Percentage of women with one or more live births in the three (one, two) years preceding the survey who have received at least one antenatal care during pregnancy before the most recent birth from any skilled personnel and from a doctor. If the respondent mentioned more than one provider, only the most qualified provider is considered. The DHS surveys refer births in the three years preceding the survey, the MICS2 surveys refer births in the one year preceding the survey, and the MICS3 surveys refer births in the two years preceding the survey.
Antenatal care: Percentage of women with one or more live births in the three (one, two) years preceding the survey who have received at least one antenatal care during pregnancy before the most recent birth from any skilled personnel and from a doctor. If the respondent mentioned more than one provider, only the most qualified provider is considered. The DHS surveys refer births in the three years preceding the survey, the MICS2 surveys refer births in the one year preceding the survey, and the MICS3 surveys refer births in the two years preceding the survey.
Treatment of acute respiratory infection (ARI): Percentage of children under age five years with acute respiratory infection (ARI) in the two weeks preceding the survey who were taken to a health facility.
Treatment of acute respiratory infection (ARI): Percentage of children under age five years with acute respiratory infection (ARI) in the two weeks preceding the survey who were taken to a health facility.
Treatment of acute respiratory infection (ARI): Percentage of children under age five years with acute respiratory infection (ARI) in the two weeks preceding the survey who were taken to a health facility.
Treatment of acute respiratory infection (ARI): Percentage of children under age five years with acute respiratory infection (ARI) in the two weeks preceding the survey who were taken to a health facility.
Treatment of acute respiratory infection (ARI): Percentage of children under age five years with acute respiratory infection (ARI) in the two weeks preceding the survey who were taken to a health facility.
Children with acute respiratory infection (ARI) who are taken to a health provider refers to the percentage of children under age five with ARI in the last two weeks who were taken to an appropriate health provider, including hospital, health center, dispensary, village health worker, clinic, and private physician.
Prevalence of acute respiratory infection (ARI): Percentage of children under age five years who were ill with a cough accompanied with rapid breathing in the two weeks preceding the survey.
Prevalence of acute respiratory infection (ARI): Percentage of children under age five years who were ill with a cough accompanied with rapid breathing in the two weeks preceding the survey.
Prevalence of acute respiratory infection (ARI): Percentage of children under age five years who were ill with a cough accompanied with rapid breathing in the two weeks preceding the survey.
Prevalence of acute respiratory infection (ARI): Percentage of children under age five years who were ill with a cough accompanied with rapid breathing in the two weeks preceding the survey.
Prevalence of acute respiratory infection (ARI): Percentage of children under age five years who were ill with a cough accompanied with rapid breathing in the two weeks preceding the survey.
Children with acute respiratory infection (ARI) refers to the percentage of children under age five with ARI in the last two weeks.
The percentage of people using at least basic sanitation services, that is, improved sanitation facilities that are not shared with other households.  This indicator encompasses both people using basic sanitation services as well as those using safely managed sanitation services.   Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines; ventilated improved pit latrines, compositing toilets or pit latrines with slabs.
The percentage of people using at least basic sanitation services, that is, improved sanitation facilities that are not shared with other households.  This indicator encompasses both people using basic sanitation services as well as those using safely managed sanitation services.   Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines; ventilated improved pit latrines, compositing toilets or pit latrines with slabs.
The percentage of people using at least basic sanitation services, that is, improved sanitation facilities that are not shared with other households.  This indicator encompasses both people using basic sanitation services as well as those using safely managed sanitation services.   Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines; ventilated improved pit latrines, compositing toilets or pit latrines with slabs.
Breastfeeding: The percentage of children under age 6 months who were breastfed six or more times in the 24 hours preceding the interview.
Breastfeeding: The percentage of children under age 6 months who were breastfed six or more times in the 24 hours preceding the interview.
Breastfeeding: The percentage of children under age 6 months who were breastfed six or more times in the 24 hours preceding the interview.
Breastfeeding: The percentage of children under age 6 months who were breastfed six or more times in the 24 hours preceding the interview.
Breastfeeding: The percentage of children under age 6 months who were breastfed six or more times in the 24 hours preceding the interview.
Exclusive breastfeeding refers to the percentage of children less than six months old who are fed breast milk alone (no other liquids) in the past 24 hours.
Assistance during delivery (Assisted births): Percentage of live births in the three (one, two) years preceding the survey attended by any skilled personnel and by a doctor.  The DHS surveys refer births in the three years preceding the survey, the MICS2 surveys refer births in the one year preceding the survey, and the MICS3 surveys refer births in the two years preceding the survey.
Assistance during delivery (Assisted births): Percentage of live births in the three (one, two) years preceding the survey attended by any skilled personnel and by a doctor.  The DHS surveys refer births in the three years preceding the survey, the MICS2 surveys refer births in the one year preceding the survey, and the MICS3 surveys refer births in the two years preceding the survey.
Assistance during delivery (Assisted births): Percentage of live births in the three (one, two) years preceding the survey attended by any skilled personnel and by a doctor.  The DHS surveys refer births in the three years preceding the survey, the MICS2 surveys refer births in the one year preceding the survey, and the MICS3 surveys refer births in the two years preceding the survey.
Assistance during delivery (Assisted births): Percentage of live births in the three (one, two) years preceding the survey attended by any skilled personnel and by a doctor.  The DHS surveys refer births in the three years preceding the survey, the MICS2 surveys refer births in the one year preceding the survey, and the MICS3 surveys refer births in the two years preceding the survey.
Assistance during delivery (Assisted births): Percentage of live births in the three (one, two) years preceding the survey attended by any skilled personnel and by a doctor.  The DHS surveys refer births in the three years preceding the survey, the MICS2 surveys refer births in the one year preceding the survey, and the MICS3 surveys refer births in the two years preceding the survey.
Births attended by skilled health staff are the percentage of deliveries attended by personnel trained to give the necessary supervision, care, and advice to women during pregnancy, labor, and the postpartum period; to conduct deliveries on their own; and to care for newborns.
Place of delivery (Births at health facility): Percentage of live births in the three years preceding the survey which took place at health facility.
Place of delivery (Births at health facility): Percentage of live births in the three years preceding the survey which took place at health facility.
Place of delivery (Births at health facility): Percentage of live births in the three years preceding the survey which took place at health facility.
Place of delivery (Births at health facility): Percentage of live births in the three years preceding the survey which took place at health facility.
Place of delivery (Births at health facility): Percentage of live births in the three years preceding the survey which took place at health facility.
Assistance during delivery (Assisted births): Percentage of live births in the three (one, two) years preceding the survey attended by any skilled personnel and by a doctor.  The DHS surveys refer births in the three years preceding the survey, the MICS2 surveys refer births in the one year preceding the survey, and the MICS3 surveys refer births in the two years preceding the survey.
Assistance during delivery (Assisted births): Percentage of live births in the three (one, two) years preceding the survey attended by any skilled personnel and by a doctor.  The DHS surveys refer births in the three years preceding the survey, the MICS2 surveys refer births in the one year preceding the survey, and the MICS3 surveys refer births in the two years preceding the survey.
Assistance during delivery (Assisted births): Percentage of live births in the three (one, two) years preceding the survey attended by any skilled personnel and by a doctor.  The DHS surveys refer births in the three years preceding the survey, the MICS2 surveys refer births in the one year preceding the survey, and the MICS3 surveys refer births in the two years preceding the survey.
Assistance during delivery (Assisted births): Percentage of live births in the three (one, two) years preceding the survey attended by any skilled personnel and by a doctor.  The DHS surveys refer births in the three years preceding the survey, the MICS2 surveys refer births in the one year preceding the survey, and the MICS3 surveys refer births in the two years preceding the survey.
Assistance during delivery (Assisted births): Percentage of live births in the three (one, two) years preceding the survey attended by any skilled personnel and by a doctor.  The DHS surveys refer births in the three years preceding the survey, the MICS2 surveys refer births in the one year preceding the survey, and the MICS3 surveys refer births in the two years preceding the survey.
Low-birthweight babies are newborns weighing less than 2,500 grams, with the measurement taken within the first hour of life, before significant postnatal weight loss has occurred.
Diabetes prevalence refers to the percentage of people ages 20-79 who have type 1 or type 2 diabetes. It is calculated by adjusting to a standard population age-structure.
Prevalence of diarrhea: Percentage of children under age five years who had diarrhea in the two weeks preceding the survey.
Prevalence of diarrhea: Percentage of children under age five years who had diarrhea in the two weeks preceding the survey.
Prevalence of diarrhea: Percentage of children under age five years who had diarrhea in the two weeks preceding the survey.
Prevalence of diarrhea: Percentage of children under age five years who had diarrhea in the two weeks preceding the survey.
Prevalence of diarrhea: Percentage of children under age five years who had diarrhea in the two weeks preceding the survey.
Diarrhea prevalence is the percentage of children under age five who had diarrhea in the two weeks prior to the survey.
Prevalence of children with fever: Percentage of children under age five years with fever in the two weeks preceding the survey.
Prevalence of children with fever: Percentage of children under age five years with fever in the two weeks preceding the survey.
Prevalence of children with fever: Percentage of children under age five years with fever in the two weeks preceding the survey.
Prevalence of children with fever: Percentage of children under age five years with fever in the two weeks preceding the survey.
Prevalence of children with fever: Percentage of children under age five years with fever in the two weeks preceding the survey.
Percentage of women ages 15-49 who have heard about female genital mutilation and think the practice should end.
Percentage of men who have heard about female genital mutilation and think the practice should end.
Percentage of women ages 15-49 who have heard about female genital mutilation (FGM) and whose opinion is that religion requires FGM.
Percentage of men who have heard about female genital mutilation (FGM) and whose opinion is that religion requires FGM.
Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons.
The percentage of people living in households that have a handwashing facility with soap and water available on the premises. Handwashing facilities may be fixed or mobile and include a sink with tap water, buckets with taps, tippy-taps, and jugs or basins designated for handwashing. Soap includes bar soap, liquid soap, powder detergent, and soapy water but does not include ash, soil, sand or other handwashing agents.
The percentage of people living in households that have a handwashing facility with soap and water available on the premises. Handwashing facilities may be fixed or mobile and include a sink with tap water, buckets with taps, tippy-taps, and jugs or basins designated for handwashing. Soap includes bar soap, liquid soap, powder detergent, and soapy water but does not include ash, soil, sand or other handwashing agents.
The percentage of people living in households that have a handwashing facility with soap and water available on the premises. Handwashing facilities may be fixed or mobile and include a sink with tap water, buckets with taps, tippy-taps, and jugs or basins designated for handwashing. Soap includes bar soap, liquid soap, powder detergent, and soapy water but does not include ash, soil, sand or other handwashing agents.
The percentage of people living in households that have a handwashing facility with soap and water available on the premises. Handwashing facilities may be fixed or mobile and include a sink with tap water, buckets with taps, tippy-taps, and jugs or basins designated for handwashing. Soap includes bar soap, liquid soap, powder detergent, and soapy water but does not include ash, soil, sand or other handwashing agents.
The percentage of people living in households that have a handwashing facility with soap and water available on the premises. Handwashing facilities may be fixed or mobile and include a sink with tap water, buckets with taps, tippy-taps, and jugs or basins designated for handwashing. Soap includes bar soap, liquid soap, powder detergent, and soapy water but does not include ash, soil, sand or other handwashing agents.
The percentage of people living in households that have a handwashing facility with soap and water available on the premises. Handwashing facilities may be fixed or mobile and include a sink with tap water, buckets with taps, tippy-taps, and jugs or basins designated for handwashing. Soap includes bar soap, liquid soap, powder detergent, and soapy water but does not include ash, soil, sand or other handwashing agents.
The percentage of people living in households that have a handwashing facility with soap and water available on the premises. Handwashing facilities may be fixed or mobile and include a sink with tap water, buckets with taps, tippy-taps, and jugs or basins designated for handwashing. Soap includes bar soap, liquid soap, powder detergent, and soapy water but does not include ash, soil, sand or other handwashing agents.
The percentage of people living in households that have a handwashing facility with soap and water available on the premises. Handwashing facilities may be fixed or mobile and include a sink with tap water, buckets with taps, tippy-taps, and jugs or basins designated for handwashing. Soap includes bar soap, liquid soap, powder detergent, and soapy water but does not include ash, soil, sand or other handwashing agents.
The percentage of people living in households that have a handwashing facility with soap and water available on the premises. Handwashing facilities may be fixed or mobile and include a sink with tap water, buckets with taps, tippy-taps, and jugs or basins designated for handwashing. Soap includes bar soap, liquid soap, powder detergent, and soapy water but does not include ash, soil, sand or other handwashing agents.
The percentage of people living in households that have a handwashing facility with soap and water available on the premises. Handwashing facilities may be fixed or mobile and include a sink with tap water, buckets with taps, tippy-taps, and jugs or basins designated for handwashing. Soap includes bar soap, liquid soap, powder detergent, and soapy water but does not include ash, soil, sand or other handwashing agents.
The percentage of people living in households that have a handwashing facility with soap and water available on the premises. Handwashing facilities may be fixed or mobile and include a sink with tap water, buckets with taps, tippy-taps, and jugs or basins designated for handwashing. Soap includes bar soap, liquid soap, powder detergent, and soapy water but does not include ash, soil, sand or other handwashing agents.
The percentage of people living in households that have a handwashing facility with soap and water available on the premises. Handwashing facilities may be fixed or mobile and include a sink with tap water, buckets with taps, tippy-taps, and jugs or basins designated for handwashing. Soap includes bar soap, liquid soap, powder detergent, and soapy water but does not include ash, soil, sand or other handwashing agents.
The percentage of people living in households that have a handwashing facility with soap and water available on the premises. Handwashing facilities may be fixed or mobile and include a sink with tap water, buckets with taps, tippy-taps, and jugs or basins designated for handwashing. Soap includes bar soap, liquid soap, powder detergent, and soapy water but does not include ash, soil, sand or other handwashing agents.
The percentage of people living in households that have a handwashing facility with soap and water available on the premises. Handwashing facilities may be fixed or mobile and include a sink with tap water, buckets with taps, tippy-taps, and jugs or basins designated for handwashing. Soap includes bar soap, liquid soap, powder detergent, and soapy water but does not include ash, soil, sand or other handwashing agents.
The percentage of people living in households that have a handwashing facility with soap and water available on the premises. Handwashing facilities may be fixed or mobile and include a sink with tap water, buckets with taps, tippy-taps, and jugs or basins designated for handwashing. Soap includes bar soap, liquid soap, powder detergent, and soapy water but does not include ash, soil, sand or other handwashing agents.
The percentage of people living in households that have a handwashing facility with soap and water available on the premises. Handwashing facilities may be fixed or mobile and include a sink with tap water, buckets with taps, tippy-taps, and jugs or basins designated for handwashing. Soap includes bar soap, liquid soap, powder detergent, and soapy water but does not include ash, soil, sand or other handwashing agents.
The percentage of people living in households that have a handwashing facility with soap and water available on the premises. Handwashing facilities may be fixed or mobile and include a sink with tap water, buckets with taps, tippy-taps, and jugs or basins designated for handwashing. Soap includes bar soap, liquid soap, powder detergent, and soapy water but does not include ash, soil, sand or other handwashing agents.
The percentage of people living in households that have a handwashing facility with soap and water available on the premises. Handwashing facilities may be fixed or mobile and include a sink with tap water, buckets with taps, tippy-taps, and jugs or basins designated for handwashing. Soap includes bar soap, liquid soap, powder detergent, and soapy water but does not include ash, soil, sand or other handwashing agents.
Percentage of children age 6-23 months fed in accordance with all three infant and young child feeding (IYCF) practices (food diversity, feeding frequency, and consumption of breast milk or milk)
Malnourished women (BMI is less than 18.5): Percentage of women whose body mass index (BMI) is less than 18.5 for women with births in the three years preceding the survey. The BMI is the ratio of the weight in kilograms to the square of the height in meters (kg/m2). The BMI excludes pregnant women and those who are less than three months postpartum.
Malnourished women (BMI is less than 18.5): Percentage of women whose body mass index (BMI) is less than 18.5 for women with births in the three years preceding the survey. The BMI is the ratio of the weight in kilograms to the square of the height in meters (kg/m2). The BMI excludes pregnant women and those who are less than three months postpartum.
Malnourished women (BMI is less than 18.5): Percentage of women whose body mass index (BMI) is less than 18.5 for women with births in the three years preceding the survey. The BMI is the ratio of the weight in kilograms to the square of the height in meters (kg/m2). The BMI excludes pregnant women and those who are less than three months postpartum.
Malnourished women (BMI is less than 18.5): Percentage of women whose body mass index (BMI) is less than 18.5 for women with births in the three years preceding the survey. The BMI is the ratio of the weight in kilograms to the square of the height in meters (kg/m2). The BMI excludes pregnant women and those who are less than three months postpartum.
Malnourished women (BMI is less than 18.5): Percentage of women whose body mass index (BMI) is less than 18.5 for women with births in the three years preceding the survey. The BMI is the ratio of the weight in kilograms to the square of the height in meters (kg/m2). The BMI excludes pregnant women and those who are less than three months postpartum.
Prevalence of underweight, female, is the percentage of girls under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's 2006 Child Growth Standards.
Prevalence of underweight, male, is the percentage of boys under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's 2006 Child Growth Standards.
Malnourished children: Percentage of children under age five years who are classified as undernourished according to three anthropometric indices of nutritional status: height-for-age (stunting), weight-for-age (underweight) and weight-for-height (wasting). Each index is expressed in terms of the number of standard deviation (SD) units from the median of the WHO Child Growth Standards. Children are classified as malnourished if their z-scores are below minus two or minus three standard deviations (-2 SD or -3 SD) from the median of the WHO Child Growth Standards. The percentage below -2 SD includes children who are below -3 SD.
Malnourished children: Percentage of children under age five years who are classified as undernourished according to three anthropometric indices of nutritional status: height-for-age (stunting), weight-for-age (underweight) and weight-for-height (wasting). Each index is expressed in terms of the number of standard deviation (SD) units from the median of the WHO Child Growth Standards. Children are classified as malnourished if their z-scores are below minus two or minus three standard deviations (-2 SD or -3 SD) from the median of the WHO Child Growth Standards. The percentage below -2 SD includes children who are below -3 SD.
Malnourished children: Percentage of children under age five years who are classified as undernourished according to three anthropometric indices of nutritional status: height-for-age (stunting), weight-for-age (underweight) and weight-for-height (wasting). Each index is expressed in terms of the number of standard deviation (SD) units from the median of the WHO Child Growth Standards. Children are classified as malnourished if their z-scores are below minus two or minus three standard deviations (-2 SD or -3 SD) from the median of the WHO Child Growth Standards. The percentage below -2 SD includes children who are below -3 SD.
Malnourished children: Percentage of children under age five years who are classified as undernourished according to three anthropometric indices of nutritional status: height-for-age (stunting), weight-for-age (underweight) and weight-for-height (wasting). Each index is expressed in terms of the number of standard deviation (SD) units from the median of the WHO Child Growth Standards. Children are classified as malnourished if their z-scores are below minus two or minus three standard deviations (-2 SD or -3 SD) from the median of the WHO Child Growth Standards. The percentage below -2 SD includes children who are below -3 SD.
Malnourished children: Percentage of children under age five years who are classified as undernourished according to three anthropometric indices of nutritional status: height-for-age (stunting), weight-for-age (underweight) and weight-for-height (wasting). Each index is expressed in terms of the number of standard deviation (SD) units from the median of the WHO Child Growth Standards. Children are classified as malnourished if their z-scores are below minus two or minus three standard deviations (-2 SD or -3 SD) from the median of the WHO Child Growth Standards. The percentage below -2 SD includes children who are below -3 SD.
Prevalence of underweight children is the percentage of children under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's 2006 Child Growth Standards.
Reported cases of malaria are the number of confirmed cases of malaria (confirmed by slide examination or RDT).
Malnourished children: Percentage of children under age five years who are classified as undernourished according to three anthropometric indices of nutritional status: height-for-age (stunting), weight-for-age (underweight) and weight-for-height (wasting). Each index is expressed in terms of the number of standard deviation (SD) units from the median of the WHO Child Growth Standards. Children are classified as malnourished if their z-scores are below minus two or minus three standard deviations (-2 SD or -3 SD) from the median of the WHO Child Growth Standards. The percentage below -2 SD includes children who are below -3 SD.
Malnourished children: Percentage of children under age five years who are classified as undernourished according to three anthropometric indices of nutritional status: height-for-age (stunting), weight-for-age (underweight) and weight-for-height (wasting). Each index is expressed in terms of the number of standard deviation (SD) units from the median of the WHO Child Growth Standards. Children are classified as malnourished if their z-scores are below minus two or minus three standard deviations (-2 SD or -3 SD) from the median of the WHO Child Growth Standards. The percentage below -2 SD includes children who are below -3 SD.
Malnourished children: Percentage of children under age five years who are classified as undernourished according to three anthropometric indices of nutritional status: height-for-age (stunting), weight-for-age (underweight) and weight-for-height (wasting). Each index is expressed in terms of the number of standard deviation (SD) units from the median of the WHO Child Growth Standards. Children are classified as malnourished if their z-scores are below minus two or minus three standard deviations (-2 SD or -3 SD) from the median of the WHO Child Growth Standards. The percentage below -2 SD includes children who are below -3 SD.
Malnourished children: Percentage of children under age five years who are classified as undernourished according to three anthropometric indices of nutritional status: height-for-age (stunting), weight-for-age (underweight) and weight-for-height (wasting). Each index is expressed in terms of the number of standard deviation (SD) units from the median of the WHO Child Growth Standards. Children are classified as malnourished if their z-scores are below minus two or minus three standard deviations (-2 SD or -3 SD) from the median of the WHO Child Growth Standards. The percentage below -2 SD includes children who are below -3 SD.
Malnourished children: Percentage of children under age five years who are classified as undernourished according to three anthropometric indices of nutritional status: height-for-age (stunting), weight-for-age (underweight) and weight-for-height (wasting). Each index is expressed in terms of the number of standard deviation (SD) units from the median of the WHO Child Growth Standards. Children are classified as malnourished if their z-scores are below minus two or minus three standard deviations (-2 SD or -3 SD) from the median of the WHO Child Growth Standards. The percentage below -2 SD includes children who are below -3 SD.
Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP measured using purchasing power parities (PPPs).
Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births.
Prevalence of obesity adult is the percentage of adults ages 18 and over whose Body Mass Index (BMI) is 30 kg/m² or higher. Body Mass Index (BMI) is a simple index of weight-for-height, or the weight in kilograms divided by the square of the height in meters.
Prevalence of obesity adult is the percentage of adults ages 18 and over whose Body Mass Index (BMI) is 30 kg/m² or higher. Body Mass Index (BMI) is a simple index of weight-for-height, or the weight in kilograms divided by the square of the height in meters.
People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste.
People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste.
People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste.
Children with diarrhea who received oral rehydration and continued feeding refer to the percentage of children under age five with diarrhea in the two weeks prior to the survey who received either oral rehydration therapy or increased fluids, with continued feeding.
Treatment of diarrhea (ORS, RHS or increased fluids): Percentage of children under age five years with diarrhea in the two weeks preceding the survey who received oral rehydration solution (ORS), recommended home solution (RHS) or increased fluids.
Treatment of diarrhea (ORS, RHS or increased fluids): Percentage of children under age five years with diarrhea in the two weeks preceding the survey who received oral rehydration solution (ORS), recommended home solution (RHS) or increased fluids.
Treatment of diarrhea (ORS, RHS or increased fluids): Percentage of children under age five years with diarrhea in the two weeks preceding the survey who received oral rehydration solution (ORS), recommended home solution (RHS) or increased fluids.
Treatment of diarrhea (ORS, RHS or increased fluids): Percentage of children under age five years with diarrhea in the two weeks preceding the survey who received oral rehydration solution (ORS), recommended home solution (RHS) or increased fluids.
Treatment of diarrhea (ORS, RHS or increased fluids): Percentage of children under age five years with diarrhea in the two weeks preceding the survey who received oral rehydration solution (ORS), recommended home solution (RHS) or increased fluids.
Knowledge of diarrhea care: Percentage of mothers with births in the three years preceding the survey who know about oral rehydration salts (ORS) packets.
Knowledge of diarrhea care: Percentage of mothers with births in the three years preceding the survey who know about oral rehydration salts (ORS) packets.
Knowledge of diarrhea care: Percentage of mothers with births in the three years preceding the survey who know about oral rehydration salts (ORS) packets.
Knowledge of diarrhea care: Percentage of mothers with births in the three years preceding the survey who know about oral rehydration salts (ORS) packets.
Knowledge of diarrhea care: Percentage of mothers with births in the three years preceding the survey who know about oral rehydration salts (ORS) packets.
Treatment of diarrhea (either ORS or RHS): Percentage of children under age five years with diarrhea in the two weeks preceding the survey who received either oral rehydration solution (ORS) or recommended home solution (RHS).
Treatment of diarrhea (either ORS or RHS): Percentage of children under age five years with diarrhea in the two weeks preceding the survey who received either oral rehydration solution (ORS) or recommended home solution (RHS).
Treatment of diarrhea (either ORS or RHS): Percentage of children under age five years with diarrhea in the two weeks preceding the survey who received either oral rehydration solution (ORS) or recommended home solution (RHS).
Treatment of diarrhea (either ORS or RHS): Percentage of children under age five years with diarrhea in the two weeks preceding the survey who received either oral rehydration solution (ORS) or recommended home solution (RHS).
Treatment of diarrhea (either ORS or RHS): Percentage of children under age five years with diarrhea in the two weeks preceding the survey who received either oral rehydration solution (ORS) or recommended home solution (RHS).
Percentage of children under age 5 with diarrhea in the two weeks preceding the survey who received oral rehydration salts (ORS packets or pre-packaged ORS fluids).
Prevalence of overweight female adults is the percentage of females ages 18 and over whose Body Mass Index (BMI) is more than 25 kg/m2. Body Mass Index (BMI) is a simple index of weight-for-height, or the weight in kilograms divided by the square of the height in meters.
Prevalence of overweight male adults is the percentage of males ages 18 and over whose Body Mass Index (BMI) is more than 25 kg/m2. Body Mass Index (BMI) is a simple index of weight-for-height, or the weight in kilograms divided by the square of the height in meters.
Prevalence of overweight adults is the percentage of adults ages 18 and over whose Body Mass Index (BMI) is more than 25 kg/m2. Body Mass Index (BMI) is a simple index of weight-for-height, or the weight in kilograms divided by the square of the height in meters.
Prevalence of overweight, female, is the percentage of girls under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.
Prevalence of overweight, male, is the percentage of boys under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.
Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.
Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.
Percentage of women with a postnatal checkup in the first two days after birth
Mortality rate attributed to unintentional poisonings is the number of deaths from unintentional poisonings in a year per 100,000 population.  Unintentional poisoning can
be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.
Mortality rate attributed to unintentional poisonings is the number of female deaths from unintentional poisonings in a year per 100,000 female population.  Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.
Mortality rate attributed to unintentional poisonings is the number of male deaths from unintentional poisonings in a year per 100,000 male population. Unintentional poisoning can
be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.
The percentage of people using improved sanitation facilities that are not shared with other households and where excreta are safely disposed of in situ or transported and treated offsite. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines: ventilated improved pit latrines, compositing toilets or pit latrines with slabs.
The percentage of people using improved sanitation facilities that are not shared with other households and where excreta are safely disposed of in situ or transported and treated offsite. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines: ventilated improved pit latrines, compositing toilets or pit latrines with slabs.
The percentage of people using improved sanitation facilities that are not shared with other households and where excreta are safely disposed of in situ or transported and treated offsite. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines: ventilated improved pit latrines, compositing toilets or pit latrines with slabs.
Malnourished children: Percentage of children under age five years who are classified as undernourished according to three anthropometric indices of nutritional status: height-for-age (stunting), weight-for-age (underweight) and weight-for-height (wasting). Each index is expressed in terms of the number of standard deviation (SD) units from the median of the WHO Child Growth Standards. Children are classified as malnourished if their z-scores are below minus two or minus three standard deviations (-2 SD or -3 SD) from the median of the WHO Child Growth Standards. The percentage below -2 SD includes children who are below -3 SD.
Malnourished children: Percentage of children under age five years who are classified as undernourished according to three anthropometric indices of nutritional status: height-for-age (stunting), weight-for-age (underweight) and weight-for-height (wasting). Each index is expressed in terms of the number of standard deviation (SD) units from the median of the WHO Child Growth Standards. Children are classified as malnourished if their z-scores are below minus two or minus three standard deviations (-2 SD or -3 SD) from the median of the WHO Child Growth Standards. The percentage below -2 SD includes children who are below -3 SD.
Malnourished children: Percentage of children under age five years who are classified as undernourished according to three anthropometric indices of nutritional status: height-for-age (stunting), weight-for-age (underweight) and weight-for-height (wasting). Each index is expressed in terms of the number of standard deviation (SD) units from the median of the WHO Child Growth Standards. Children are classified as malnourished if their z-scores are below minus two or minus three standard deviations (-2 SD or -3 SD) from the median of the WHO Child Growth Standards. The percentage below -2 SD includes children who are below -3 SD.
Malnourished children: Percentage of children under age five years who are classified as undernourished according to three anthropometric indices of nutritional status: height-for-age (stunting), weight-for-age (underweight) and weight-for-height (wasting). Each index is expressed in terms of the number of standard deviation (SD) units from the median of the WHO Child Growth Standards. Children are classified as malnourished if their z-scores are below minus two or minus three standard deviations (-2 SD or -3 SD) from the median of the WHO Child Growth Standards. The percentage below -2 SD includes children who are below -3 SD.
Malnourished children: Percentage of children under age five years who are classified as undernourished according to three anthropometric indices of nutritional status: height-for-age (stunting), weight-for-age (underweight) and weight-for-height (wasting). Each index is expressed in terms of the number of standard deviation (SD) units from the median of the WHO Child Growth Standards. Children are classified as malnourished if their z-scores are below minus two or minus three standard deviations (-2 SD or -3 SD) from the median of the WHO Child Growth Standards. The percentage below -2 SD includes children who are below -3 SD.
Prevalence of stunting, female, is the percentage of girls under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.
Prevalence of stunting, male, is the percentage of boys under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.
Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.
Malnourished children: Percentage of children under age five years who are classified as undernourished according to three anthropometric indices of nutritional status: height-for-age (stunting), weight-for-age (underweight) and weight-for-height (wasting). Each index is expressed in terms of the number of standard deviation (SD) units from the median of the WHO Child Growth Standards. Children are classified as malnourished if their z-scores are below minus two or minus three standard deviations (-2 SD or -3 SD) from the median of the WHO Child Growth Standards. The percentage below -2 SD includes children who are below -3 SD.
Malnourished children: Percentage of children under age five years who are classified as undernourished according to three anthropometric indices of nutritional status: height-for-age (stunting), weight-for-age (underweight) and weight-for-height (wasting). Each index is expressed in terms of the number of standard deviation (SD) units from the median of the WHO Child Growth Standards. Children are classified as malnourished if their z-scores are below minus two or minus three standard deviations (-2 SD or -3 SD) from the median of the WHO Child Growth Standards. The percentage below -2 SD includes children who are below -3 SD.
Malnourished children: Percentage of children under age five years who are classified as undernourished according to three anthropometric indices of nutritional status: height-for-age (stunting), weight-for-age (underweight) and weight-for-height (wasting). Each index is expressed in terms of the number of standard deviation (SD) units from the median of the WHO Child Growth Standards. Children are classified as malnourished if their z-scores are below minus two or minus three standard deviations (-2 SD or -3 SD) from the median of the WHO Child Growth Standards. The percentage below -2 SD includes children who are below -3 SD.
Malnourished children: Percentage of children under age five years who are classified as undernourished according to three anthropometric indices of nutritional status: height-for-age (stunting), weight-for-age (underweight) and weight-for-height (wasting). Each index is expressed in terms of the number of standard deviation (SD) units from the median of the WHO Child Growth Standards. Children are classified as malnourished if their z-scores are below minus two or minus three standard deviations (-2 SD or -3 SD) from the median of the WHO Child Growth Standards. The percentage below -2 SD includes children who are below -3 SD.
Malnourished children: Percentage of children under age five years who are classified as undernourished according to three anthropometric indices of nutritional status: height-for-age (stunting), weight-for-age (underweight) and weight-for-height (wasting). Each index is expressed in terms of the number of standard deviation (SD) units from the median of the WHO Child Growth Standards. Children are classified as malnourished if their z-scores are below minus two or minus three standard deviations (-2 SD or -3 SD) from the median of the WHO Child Growth Standards. The percentage below -2 SD includes children who are below -3 SD.
Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.
Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted).
Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted).
Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted).
Mortality caused by road traffic injury is estimated road traffic fatal injury deaths per 100,000 population.
Mortality caused by road traffic injury is estimated road traffic fatal injury deaths per 100,000 population.
Mortality caused by road traffic injury is estimated road traffic fatal injury deaths per 100,000 population.
Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene is deaths attributable to unsafe water, sanitation and hygiene focusing on inadequate WASH services per 100,000 population. Death rates are calculated by dividing the number of deaths by the total population. In this estimate, only the impact of diarrhoeal diseases, intestinal nematode infections, and protein-energy malnutrition are taken into account.
Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene is deaths attributable to unsafe water, sanitation and hygiene focusing on inadequate WASH services per 100,000 population. Death rates are calculated by dividing the number of deaths by the total population. In this estimate, only the impact of diarrhoeal diseases, intestinal nematode infections, and protein-energy malnutrition are taken into account.
Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene is deaths attributable to unsafe water, sanitation and hygiene focusing on inadequate WASH services per 100,000 population. Death rates are calculated by dividing the number of deaths by the total population. In this estimate, only the impact of diarrhoeal diseases, intestinal nematode infections, and protein-energy malnutrition are taken into account.
Prevalence of wasting, female, is the proportion of girls under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59 months.
Prevalence of wasting, male, is the proportion of boys under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59 months.
Malnourished children: Percentage of children under age five years who are classified as undernourished according to three anthropometric indices of nutritional status: height-for-age (stunting), weight-for-age (underweight) and weight-for-height (wasting). Each index is expressed in terms of the number of standard deviation (SD) units from the median of the WHO Child Growth Standards. Children are classified as malnourished if their z-scores are below minus two or minus three standard deviations (-2 SD or -3 SD) from the median of the WHO Child Growth Standards. The percentage below -2 SD includes children who are below -3 SD.
Malnourished children: Percentage of children under age five years who are classified as undernourished according to three anthropometric indices of nutritional status: height-for-age (stunting), weight-for-age (underweight) and weight-for-height (wasting). Each index is expressed in terms of the number of standard deviation (SD) units from the median of the WHO Child Growth Standards. Children are classified as malnourished if their z-scores are below minus two or minus three standard deviations (-2 SD or -3 SD) from the median of the WHO Child Growth Standards. The percentage below -2 SD includes children who are below -3 SD.
Malnourished children: Percentage of children under age five years who are classified as undernourished according to three anthropometric indices of nutritional status: height-for-age (stunting), weight-for-age (underweight) and weight-for-height (wasting). Each index is expressed in terms of the number of standard deviation (SD) units from the median of the WHO Child Growth Standards. Children are classified as malnourished if their z-scores are below minus two or minus three standard deviations (-2 SD or -3 SD) from the median of the WHO Child Growth Standards. The percentage below -2 SD includes children who are below -3 SD.
Malnourished children: Percentage of children under age five years who are classified as undernourished according to three anthropometric indices of nutritional status: height-for-age (stunting), weight-for-age (underweight) and weight-for-height (wasting). Each index is expressed in terms of the number of standard deviation (SD) units from the median of the WHO Child Growth Standards. Children are classified as malnourished if their z-scores are below minus two or minus three standard deviations (-2 SD or -3 SD) from the median of the WHO Child Growth Standards. The percentage below -2 SD includes children who are below -3 SD.
Malnourished children: Percentage of children under age five years who are classified as undernourished according to three anthropometric indices of nutritional status: height-for-age (stunting), weight-for-age (underweight) and weight-for-height (wasting). Each index is expressed in terms of the number of standard deviation (SD) units from the median of the WHO Child Growth Standards. Children are classified as malnourished if their z-scores are below minus two or minus three standard deviations (-2 SD or -3 SD) from the median of the WHO Child Growth Standards. The percentage below -2 SD includes children who are below -3 SD.
Prevalence of wasting is the proportion of children under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59 months.
Malnourished children: Percentage of children under age five years who are classified as undernourished according to three anthropometric indices of nutritional status: height-for-age (stunting), weight-for-age (underweight) and weight-for-height (wasting). Each index is expressed in terms of the number of standard deviation (SD) units from the median of the WHO Child Growth Standards. Children are classified as malnourished if their z-scores are below minus two or minus three standard deviations (-2 SD or -3 SD) from the median of the WHO Child Growth Standards. The percentage below -2 SD includes children who are below -3 SD.
Malnourished children: Percentage of children under age five years who are classified as undernourished according to three anthropometric indices of nutritional status: height-for-age (stunting), weight-for-age (underweight) and weight-for-height (wasting). Each index is expressed in terms of the number of standard deviation (SD) units from the median of the WHO Child Growth Standards. Children are classified as malnourished if their z-scores are below minus two or minus three standard deviations (-2 SD or -3 SD) from the median of the WHO Child Growth Standards. The percentage below -2 SD includes children who are below -3 SD.
Malnourished children: Percentage of children under age five years who are classified as undernourished according to three anthropometric indices of nutritional status: height-for-age (stunting), weight-for-age (underweight) and weight-for-height (wasting). Each index is expressed in terms of the number of standard deviation (SD) units from the median of the WHO Child Growth Standards. Children are classified as malnourished if their z-scores are below minus two or minus three standard deviations (-2 SD or -3 SD) from the median of the WHO Child Growth Standards. The percentage below -2 SD includes children who are below -3 SD.
Malnourished children: Percentage of children under age five years who are classified as undernourished according to three anthropometric indices of nutritional status: height-for-age (stunting), weight-for-age (underweight) and weight-for-height (wasting). Each index is expressed in terms of the number of standard deviation (SD) units from the median of the WHO Child Growth Standards. Children are classified as malnourished if their z-scores are below minus two or minus three standard deviations (-2 SD or -3 SD) from the median of the WHO Child Growth Standards. The percentage below -2 SD includes children who are below -3 SD.
Malnourished children: Percentage of children under age five years who are classified as undernourished according to three anthropometric indices of nutritional status: height-for-age (stunting), weight-for-age (underweight) and weight-for-height (wasting). Each index is expressed in terms of the number of standard deviation (SD) units from the median of the WHO Child Growth Standards. Children are classified as malnourished if their z-scores are below minus two or minus three standard deviations (-2 SD or -3 SD) from the median of the WHO Child Growth Standards. The percentage below -2 SD includes children who are below -3 SD.
Prevalence of severe wasting, female, is the proportion of girls under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59 months.
Prevalence of severe wasting, male, is the proportion of boys under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59 months.
Prevalence of severe wasting is the proportion of children under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59 months.
Tuberculosis treatment success rate is the percentage of all new tuberculosis cases (or new and relapse cases for some countries) registered under a national tuberculosis control programme in a given year that successfully completed treatment, with or without bacteriological evidence of success ("cured" and "treatment completed" respectively).
DOTS detection rate is the percentage of estimated new infectious tuberculosis cases detected under the directly observed treatment, short course case detection and treatment strategy.
Tuberculosis case detection rate (all forms) is the number of new and relapse tuberculosis cases notified to WHO in a given year, divided by WHO's estimate of the number of incident tuberculosis cases for the same year, expressed as a percentage. Estimates for all years are recalculated as new information becomes available and techniques are refined, so they may differ from those published previously.
Incidence of tuberculosis is the estimated number of new and relapse tuberculosis cases arising in a given year, expressed as the rate per 100,000 population. All forms of TB are included, including cases in people living with HIV. Estimates for all years are recalculated as new information becomes available and techniques are refined, so they may differ from those published previously.
Incidence of tuberculosis is the estimated number of new pulmonary, smear positive, and extra-pulmonary tuberculosis cases.
Incidence of tuberculosis is the estimated number of new pulmonary, smear positive, and extra-pulmonary tuberculosis cases.
Tuberculosis death rate is the estimated number of deaths from tuberculosis among HIV-negative people, expressed as the rate per 100,000 population. Estimates for all years are recalculated as new information becomes available and techniques are refined, so they may differ from those published previously.
The estimated number of deaths attributable to tuberculosis (TB) in a given time period.
The estimated number of deaths attributable to tuberculosis (TB) in a given time period.
The number of cases of tuberculosis (all forms) in a population at a given point in time (the middle of the calendar year), expressed as the rate per 100 000 population. It is sometimes referred to as "point prevalence". Estimates include cases of TB in people with HIV. Published values are rounded to three significant figures. Uncertainty bounds are provided in addition to best estimates.
The number of cases of tuberculosis (all forms) in a population at a given point in time (the middle of the calendar year), expressed as the rate per 100 000 population. It is sometimes referred to as "point prevalence" high uncertainty bound. Estimates include cases of TB in people with HIV.  Published values are rounded to three significant figures. Uncertainty bounds are provided in addition to best estimates.
The number of cases of tuberculosis (all forms) in a population at a given point in time (the middle of the calendar year), expressed as the rate per 100 000 population. It is sometimes referred to as "point prevalence" low uncertainty bound. Estimates include cases of TB in people with HIV.  Published values are rounded to three significant figures. Uncertainty bounds are provided in addition to best estimates.
Number of people pushed below the 50% median consumption poverty line by out-of-pocket health care expenditure
Proportion of population pushed below the 50% median consumption poverty line by out-of-pocket health care expenditure, expressed as a percentage of a total population of a country
This indicator shows the number of people living in households whose non-health expenditures are already below the $2.15 poverty line and who as a result are pushed further into poverty by their out-of-pocket health spending. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).
This indicator shows the fraction of a country’s population living in households whose non-health expenditures are already below the $2.15 poverty line and who as a result are pushed further into poverty by their out-of-pocket health spending. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).
This indicator shows the number of people living in households whose non-health expenditures are already below the $3.65 poverty line and who as a result are pushed further into poverty by their out-of-pocket health spending.  Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).
This indicator shows the fraction of a country’s population living in households whose non-health expenditures are already below the $3.65 poverty line and who as a result are pushed further into poverty by their out-of-pocket health spending. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).
This indicator shows the number of people living in households whose non-health expenditures are already below the 60% median consumption poverty line and who as a result are pushed further into poverty by their out-of-pocket health spending.  Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).
This indicator shows the fraction of a country’s population living in households whose non-health expenditures are already below the 60% median consumption poverty line and who as a result are pushed further into poverty by their out-of-pocket health spending. 
Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).
Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure, expressed in US dollars (2011 PPP). The poverty gap increase due to out-of-pocket health spending is one way to measure how much out-of-pocket health spending pushes people below or further below the poverty line (the difference in the poverty gap due to out-of-pocket health spending being included or excluded from the measure of household welfare). This difference corresponds to the total out-of-pocket health spending for households that are already below the poverty line, to the amount that exceeds the shortfall between the poverty line and total consumption for households that are impoverished by out-of-pocket health spending and to zero for households whose consumption is above the poverty line after accounting for out-of-pocket health spending.
Number of people pushed below the $2.15 ($ 2017 PPP) poverty line by out-of-pocket health care expenditure. This indicator shows the number of people living in households experiencing impoverishing out-of-pocket health expenditures, defined as expenditures without which the household they live in would have been above the $2.15 poverty line, but because of the expenditures is below the poverty line.  Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).
Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure, as a percentage of the $1.90 poverty line. The poverty gap increase due to out-of-pocket health spending is one way to measure how much out-of-pocket health spending pushes people below or further below the poverty line (the difference in the poverty gap due to out-of-pocket health spending being included or excluded from the measure of household welfare). This difference corresponds to the total out-of-pocket health spending for households that are already below the poverty line, to the amount that exceeds the shortfall between the poverty line and total consumption for households that are impoverished by out-of-pocket health spending and to zero for households whose consumption is above the poverty line after accounting for out-of-pocket health spending.
This indicator shows the fraction of a country’s population experiencing out-of-pocket health impoverishing expenditures, defined as expenditures without which the household they live in would have been above the $ 2.15 poverty line, but because of the expenditures is below the poverty line. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).
Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure, expressed in US dollars (2011 PPP). The poverty gap increase due to out-of-pocket health spending is one way to measure how much out-of-pocket health spending pushes people below or further below the poverty line (the difference in the poverty gap due to out-of-pocket health spending being included or excluded from the measure of household welfare). This difference corresponds to the total out-of-pocket health spending for households that are already below the poverty line, to the amount that exceeds the shortfall between the poverty line and total consumption for households that are impoverished by out-of-pocket health spending and to zero for households whose consumption is above the poverty line after accounting for out-of-pocket health spending.
Number of people pushed below the $3.65 ($ 2017 PPP) poverty line by out-of-pocket health care expenditure. This indicator shows the number of households experiencing impoverishing out-of-pocket health expenditures, defined as expenditures without which the household would have been above the $3.65 poverty line, but because of the expenditures is below the poverty line.  Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).
Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure, as a percentage of the $3.20 poverty line. The poverty gap increase due to out-of-pocket health spending is one way to measure how much out-of-pocket health spending pushes people below or further below the poverty line (the difference in the poverty gap due to out-of-pocket health spending being included or excluded from the measure of household welfare). This difference corresponds to the total out-of-pocket health spending for households that are already below the poverty line, to the amount that exceeds the shortfall between the poverty line and total consumption for households that are impoverished by out-of-pocket health spending and to zero for households whose consumption is above the poverty line after accounting for out-of-pocket health spending.
This indicator shows the fraction of a country’s population experiencing out-of-pocket health impoverishing expenditures, defined as expenditures without which the household they live in would have been above the $3.65 poverty line, but because of the expenditures is below the poverty line.  Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).
This indicator shows the number of people living in households experiencing impoverishing expenditures, defined as out-of-pocket health expenditures without which the household they live in would have been above the 60% median consumption poverty line, but because of the expenditures is below the poverty line. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).
This indicator shows the fraction of a country’s population experiencing out-of-pocket health impoverishing expenditures, defined as expenditures without which the household they live in would have been above the 60% median consumption but because of the expenditures is below the poverty line. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).
Number of people spending more than 10% of household consumption or income on out-of-pocket health care expenditure. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).
Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).
Number of people spending more than 25% of household consumption or income on out-of-pocket health care expenditure. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).
Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).
Coverage index for essential health services (based on tracer interventions that include reproductive, maternal, newborn and child health, infectious diseases, noncommunicable diseases and service capacity and access). It is presented on a scale of 0 to 100.
This indicator shows the number of people who are either (1) living in households whose non-health expenditures are already below the $2.15 poverty line and who as a result are pushed further into poverty by their out-of-pocket health spending or (2) live in households whose total expenditures are above the $2.15 poverty line but fall below the $2.15 poverty line when out-of-pocket health spending is subtracted from total expenditure. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).
This indicator shows the fraction of a country's population who is either (1) living in households whose non-health expenditures are already below the $2.15 poverty line and who as a result are pushed further into poverty by their out-of-pocket health spending or (2) live in households whose total expenditures are above the $2.15 poverty line but fall below the $2.15 poverty line when out-of-pocket health spending is subtracted from total expenditure. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).
This indicator shows the number of people who are either (1) living in households whose non-health expenditures are already below the $3.65 poverty line and who as a result are pushed further into poverty by their out-of-pocket health spending or (2) live in households whose total expenditures are above the $3.65 poverty line but fall below the $3.65 poverty line when out-of-pocket health spending is subtracted from total expenditure. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).
This indicator shows the fraction of a country's population who is either (1) living in households whose non-health expenditures are already below the $3.65 poverty line and who as a result are pushed further into poverty by their out-of-pocket health spending or (2) live in households whose total expenditures are above the $3.65 poverty line but fall below the $3.65 poverty line when out-of-pocket health spending is subtracted from total expenditure. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).
This indicator shows the number of people who are either (1) living in households whose non-health expenditures are already below the relative poverty line and who as a result are pushed further into poverty by their out-of-pocket health spending or (2) live in households whose total expenditures are above the relative poverty line but fall below the relative poverty line when out-of-pocket health spending is subtracted from total expenditure. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).
This indicator shows the fraction of a country's population who is either (1) living in households whose non-health expenditures are already below the relative poverty line and who as a result are pushed further into poverty by their out-of-pocket health spending or (2) live in households whose total expenditures are above the relative poverty line but fall below the relative poverty line when out-of-pocket health spending is subtracted from total expenditure. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).
Percent distribution of last live births in the last three years preceding the survey for tetanus toxoid injections (two doses or more) given to the mother during pregnancy.
Percent distribution of last live births in the last three years preceding the survey for tetanus toxoid injections (two doses or more) given to the mother during pregnancy.
Percent distribution of last live births in the last three years preceding the survey for tetanus toxoid injections (two doses or more) given to the mother during pregnancy.
Percent distribution of last live births in the last three years preceding the survey for tetanus toxoid injections (two doses or more) given to the mother during pregnancy.
Percent distribution of last live births in the last three years preceding the survey for tetanus toxoid injections (two doses or more) given to the mother during pregnancy.
Newborns protected against tetanus are the percentage of births by women of child-bearing age who are immunized against tetanus.
Outpatient visits per capita are the number of visits to health care facilities per capita, including repeat visits.
Level of current health expenditure expressed as a percentage of GDP.  Estimates of current health expenditures include healthcare goods and services consumed during each year. This indicator does not include capital health expenditures such as buildings, machinery, IT and stocks of vaccines for emergency or outbreaks.
Current expenditures on health per capita in current US dollars. Estimates of current health expenditures include healthcare goods and services consumed during each year.
Current expenditures on health per capita expressed in international dollars at purchasing power parity.
Share of current health expenditures funded from external sources. External sources compose of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country. External sources either flow through the government scheme or are channeled through non-governmental organizations or other schemes.
Share of external donor funding flowing through the government budgets relative to the overall external expenditures on health.
Current external expenditures on health per capita expressed in current US dollars. External sources are composed of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country.
Current external expenditures on health per capita expressed in international dollars at purchasing power parity. External sources are composed of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country.
External resources for health are funds or services in kind that are provided by entities not part of the country in question. The resources may come from international organizations, other countries through bilateral arrangements, or foreign nongovernmental organizations. These resources are part of total health expenditure.
Share of current health expenditures funded from domestic public sources for health.  Domestic public sources include domestic revenue as internal transfers and grants, transfers, subsidies to voluntary health insurance beneficiaries, non-profit institutions serving households (NPISH) or enterprise financing schemes as well as compulsory prepayment and social health insurance contributions. They do not include external resources spent by governments on health.
Public expenditure on health from domestic sources as a share of the economy as measured by GDP.
Public expenditure on health from domestic sources as a share of total public expenditure.  It indicates the priority of the government to spend on health from own domestic public resources.
Public expenditure on health from domestic sources per capita expressed in current US dollars.
Public expenditure on health from domestic sources per capita expressed in international dollars at purchasing power parity.
Level of capital investments on health expressed as a percentage of GDP.  Capital health investments include health infrastructure (buildings, machinery, IT) and stocks of vaccines for emergency or outbreaks.
Share of out-of-pocket payments of total current health expenditures.  Out-of-pocket payments are spending on health directly out-of-pocket by households.
Health expenditure through out-of-pocket payments per capita in USD.  Out of pocket payments are spending on health directly out of pocket by households in each country.
Health expenditure through out-of-pocket payments per capita in international dollars at purchasing power parity.
Out of pocket expenditure is any direct outlay by households, including gratuities and in-kind payments, to health practitioners and suppliers of pharmaceuticals, therapeutic appliances, and other goods and services whose primary intent is to contribute to the restoration or enhancement of the health status of individuals or population groups. It is a part of private health expenditure.
Out of pocket expenditure is any direct outlay by households, including gratuities and in-kind payments, to health practitioners and suppliers of pharmaceuticals, therapeutic appliances, and other goods and services whose primary intent is to contribute to the restoration or enhancement of the health status of individuals or population groups. It is a part of private health expenditure.
Total health expenditure is the sum of public and private health expenditures as a ratio of total population. It covers the provision of health services (preventive and curative), family planning activities, nutrition activities, and emergency aid designated for health but does not include provision of water and sanitation. Data are in current U.S. dollars.
General government expenditure corresponds to the consolidated outlays of all levels of government: territorial authorities (Central/Federal Government, Provincial/Regional/State/District authorities, Municipal/ Local governments), social security institutions and extra budgetary funds, including capital outlays. It is provided by the Central Bank/Ministry of Finance to the International Monetary Fund or by the United Nations Statistics Department.
Total health expenditure is the sum of public and private health expenditures as a ratio of total population. It covers the provision of health services (preventive and curative), family planning activities, nutrition activities, and emergency aid designated for health but does not include provision of water and sanitation. Data are in international dollars converted using 2011 purchasing power parity (PPP) rates.
World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).
Prepaid and risk-pooling plans are the expenditure on health by private insurance institutions.  Private insurance enrolment may be contractual or voluntary, and conditions and benefits or basket of benefits are agreed on a voluntary basis between the insurance agent and the beneficiaries.  They are thus not controlled by government units for the purpose of providing social benefits to members.
Private health expenditure includes direct household (out-of-pocket) spending, private insurance, charitable donations, and direct service payments by private corporations.
Public health expenditure consists of recurrent and capital spending from government (central and local) budgets, external borrowings and grants (including donations from international agencies and nongovernmental organizations), and social (or compulsory) health insurance funds. Total health expenditure is the sum of public and private health expenditure. It covers the provision of health services (preventive and curative), family planning activities, nutrition activities, and emergency aid designated for health but does not include provision of water and sanitation.
Public health expenditure consists of recurrent and capital spending from government (central and local) budgets, external borrowings and grants (including donations from international agencies and nongovernmental organizations), and social (or compulsory) health insurance funds.
Public health expenditure consists of recurrent and capital spending from government (central and local) budgets, external borrowings and grants (including donations from international agencies and nongovernmental organizations), and social (or compulsory) health insurance funds.
Share of current health expenditures funded from domestic private sources.  Domestic private sources include funds from households, corporations and non-profit organizations. Such expenditures can be either prepaid to voluntary health insurance or paid directly to healthcare providers.
Current private expenditures on health per capita expressed in current US dollars. Domestic private sources include funds from households, corporations and non-profit organizations. Such expenditures can be either prepaid to voluntary health insurance or paid directly to healthcare providers.
Current private expenditures on health per capita expressed in international dollars at purchasing power parity.
Social security funds comprise the expenditure on health by social security institutions. Social security or national health insurance schemes are imposed and controlled by government units for the purpose of providing social benefits to members of the community as a whole or to particular segments of the community. They include direct outlays to medical care providers and to suppliers of medical goods as well as reimbursements to households and the supply of services in kind to the enrollees.
World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).
Total health expenditure is the sum of public and private health expenditure. It covers the provision of health services (preventive and curative), family planning activities, nutrition activities, and emergency aid designated for health but does not include provision of water and sanitation.
Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.
Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.
Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.
Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.
Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles.
The percentage of people in the population who live in households whose per capita income or consumption is below half of the median income or consumption per capita. The median is measured at 2017 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries, medians are not reported due to grouped and/or confidential data. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported.
Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles.
Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.
Poverty headcount ratio at $3.10 a day is the percentage of the population living on less than $3.10 a day at 2011 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.
Poverty headcount ratio at $2.15 a day is the percentage of the population living on less than $2.15 a day at 2017 purchasing power adjusted prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.
Share of population covered by a survey within five years or reference year (reference year, plus/minus 2 years)
The share of total global poor population.
Poverty gap at $3.10 a day (2011 PPP) is the mean shortfall in income or consumption from the poverty line $3.10 a day (counting the nonpoor as having zero shortfall), expressed as a percentage of the poverty line. This measure reflects the depth of poverty as well as its incidence. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.
Poverty gap at $2.15 a day (2017 PPP) is the mean shortfall in income or consumption from the poverty line $2.15 a day (counting the nonpoor as having zero shortfall), expressed as a percentage of the poverty line. This measure reflects the depth of poverty as well as its incidence.
Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.
Poverty headcount ratio at $3.65 a day is the percentage of the population living on less than $3.65 a day at 2017 international prices.
Poverty gap at $3.65 a day (2017 PPP) is the mean shortfall in income or consumption from the poverty line $3.65 a day (counting the nonpoor as having zero shortfall), expressed as a percentage of the poverty line. This measure reflects the depth of poverty as well as its incidence.
The percentage of people who are multidimensionally poor
The percentage of children who are multidimensionally poor
Proportion of the child population that is multidimensionally poor adjusted by the intensity of the deprivations
The percentage of female population who are multidimensionally poor
The percentage of households who are multidimensionally poor
The average percentage of dimensions in which poor people are deprived
The percentage of male population who are multidimensionally poor
Proportion of the population that is multidimensionally poor adjusted by the intensity of the deprivations
The multidimensional poverty headcount ratio (UNDP) is the percentage of a population living in poverty according to UNDPs multidimensional poverty index. The index includes three dimensions -- health, education, and living standards.
The multidimensional poverty headcount ratio (World Bank) is the percentage of a population living in poverty according to the World Bank's Multidimensional Poverty Measure. The Multidimensional Poverty Measure includes three dimensions – monetary poverty, education, and basic infrastructure services – to capture a more complete picture of poverty.
Poverty gap at national poverty lines is the mean shortfall from the poverty lines (counting the nonpoor as having zero shortfall) as a percentage of the poverty lines. This measure reflects the depth of poverty as well as its incidence.
National poverty headcount ratio is the percentage of the population living below the national poverty line(s). National estimates are based on population-weighted subgroup estimates from household surveys. For economies for which the data are from EU-SILC, the reported year is the income reference year, which is the year before the survey year.
Poverty line is an indicator of household expenditure to measure how much poor people live in particular district. Every people who has per capita expenditure below the poverty line will be deemed as poor people.
Poverty Rate: Number of people live below the poverty line compared to total population.
Poverty Gap index: Average gap between expenditure of poor people and the poverty line.
The number of people (millions) living on less than $1.90 a day (2011 PPP)
Rural poverty gap at national poverty lines is the rural population's mean shortfall from the poverty lines (counting the nonpoor as having zero shortfall) as a percentage of the poverty lines. This measure reflects the depth of poverty as well as its incidence.
Rural poverty headcount ratio is the percentage of the rural population living below the national poverty lines.
The poverty headcount ratio at societal poverty line is the percentage of a population living in poverty according to the World Bank's Societal Poverty Line. The Societal Poverty Line is expressed in purchasing power adjusted 2017 U.S. dollars and defined as max($2.15, $1.15 + 0.5*Median). This means that when the national median is sufficiently low, the Societal Poverty line is equivalent to the extreme poverty line, $2.15. For countries with a sufficiently high national median, the Societal Poverty Line grows as countries’ median income grows.
Poverty headcount ratio at $6.85 a day is the percentage of the population living on less than $6.85 a day at 2017 international prices.
Poverty gap at $6.85 a day (2017 PPP) is the mean shortfall in income or consumption from the poverty line $6.85 a day (counting the nonpoor as having zero shortfall), expressed as a percentage of the poverty line. This measure reflects the depth of poverty as well as its incidence.
Urban poverty gap at national poverty lines is the urban population's mean shortfall from the poverty lines (counting the nonpoor as having zero shortfall) as a percentage of the poverty lines. This measure reflects the depth of poverty as well as its incidence.
Urban poverty headcount ratio is the percentage of the urban population living below the national poverty lines.
Average transaction cost of sending remittance to a specific country is the average of the total transaction cost in percentage of the amount sent for sending USD 200 charged by each single remittance service provider (RSP) included in the Remittance Prices Worldwide (RPW) database to a specific country.
Average transaction cost of sending remittance from a specific country is the average of the total transaction cost in percentage of the amount sent for sending USD 200 charged by each single remittance service provider (RSP) included in the Remittance Prices Worldwide (RPW) database from a specific country.
Mean consumption or income per capita (2017 PPP $ per day) of the bottom 40%, used in calculating the growth rate in the welfare aggregate of the bottom 40% of the population in the income distribution in a country.
Mean consumption or income per capita (2005 PPP $ per day) used in calculating the growth rate in the welfare aggregate of the bottom 40% of the population in the income distribution in a country.
The growth rate in the welfare aggregate of the bottom 40% is computed as the annualized average growth rate in per capita real consumption or income of the bottom 40% of the population in  the income distribution in a country from household surveys over a roughly 5-year period. Mean per capita real consumption or income is measured at 2017 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries means are not reported due to grouped and/or confidential data. The annualized growth rate is computed as (Mean in final year/Mean in initial year)^(1/(Final year - Initial year)) - 1.  The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported. The initial year refers to the nearest survey collected 5 years before the most recent survey available, only surveys collected between 3 and 7 years before the most recent survey are considered.

The coverage and quality of the 2017 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2017 exercise of the International Comparison Program. See the Poverty and Inequality Platform for detailed explanations.
Mean consumption or income per capita (2017 PPP $ per day) used in calculating the growth rate in the welfare aggregate of total population.
Mean consumption or income per capita (2005 PPP $ per day) used in calculating the growth rate in the welfare aggregate of total population.
The growth rate in the welfare aggregate of the total population is computed as the annualized average growth rate in per capita real consumption or income of the total population in  the income distribution in a country from household surveys over a roughly 5-year period. Mean per capita real consumption or income is measured at 2017 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries means are not reported due to grouped and/or confidential data. The annualized growth rate is computed as (Mean in final year/Mean in initial year)^(1/(Final year - Initial year)) - 1.  The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported. The initial year refers to the nearest survey collected 5 years before the most recent survey available, only surveys collected between 3 and 7 years before the most recent survey are considered. 

The coverage and quality of the 2017 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2017 exercise of the International Comparison Program. See the Poverty and Inequality Platform for detailed explanations.
The average shortfall from a prosperity standard of $25 per day (adjusted for differences in purchasing power parity across countries). It is measured as the average factor by which incomes fall short of $25.
Employment by economic activity refers to the distribution of economically active children by the major industrial categories of the International Standard Industrial Classification (ISIC). Agriculture corresponds to division 1 (ISIC revision 2), categories A and B (ISIC revision 3), or category A (ISIC revision 4) and includes hunting, forestry, and fishing. Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey.
Employment by economic activity refers to the distribution of economically active children by the major industrial categories of the International Standard Industrial Classification (ISIC). Agriculture corresponds to division 1 (ISIC revision 2), categories A and B (ISIC revision 3), or category A (ISIC revision 4) and includes hunting, forestry, and fishing. Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey.
Employment by economic activity refers to the distribution of economically active children by the major industrial categories of the International Standard Industrial Classification (ISIC). Agriculture corresponds to division 1 (ISIC revision 2), categories A and B (ISIC revision 3), or category A (ISIC revision 4) and includes hunting, forestry, and fishing. Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey.
Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The agriculture sector consists of activities in agriculture, hunting, forestry and fishing, in accordance with division 1 (ISIC 2) or categories A-B (ISIC 3) or category A (ISIC 4).
Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The agriculture sector consists of activities in agriculture, hunting, forestry and fishing, in accordance with division 1 (ISIC 2) or categories A-B (ISIC 3) or category A (ISIC 4).
Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The agriculture sector consists of activities in agriculture, hunting, forestry and fishing, in accordance with division 1 (ISIC 2) or categories A-B (ISIC 3) or category A (ISIC 4).
Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15-24 are generally considered the youth population.
Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15-24 are generally considered the youth population.
Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15-24 are generally considered the youth population.
Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15-24 are generally considered the youth population.
Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15-24 are generally considered the youth population.
Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15-24 are generally considered the youth population.
All persons who worked for pay or assisted others in obtaining pay or profit for the duration at least one hour during the survey week, and are mainly employed in the agriculture, forestry and fishery sector.
All persons who worked for pay or assisted others in obtaining pay or profit for the duration at least one hour during the survey week, and are mainly employed in the construction sector.
All persons who worked for pay or assisted others in obtaining pay or profit for the duration at least one hour during the survey week, and are mainly employed in the electricity and utilities sector.
All persons who worked for pay or assisted others in obtaining pay or profit for the duration at least one hour during the survey week, and are mainly employed in the financial services sector.
All persons who worked for pay or assisted others in obtaining pay or profit for the duration at least one hour during the survey week, and are mainly employed in the industrial sector.
Share of women in wage employment in the nonagricultural sector is the share of female workers in wage employment in the nonagricultural sector (industry and services), expressed as a percentage of total employment in the nonagricultural sector. Industry includes mining and quarrying (including oil production), manufacturing, construction, electricity, gas, and water, corresponding to divisions 2-5 (ISIC revision 2) or tabulation categories C-F (ISIC revision 3). Services include wholesale and retail trade and restaurants and hotels; transport, storage, and communications; financing, insurance, real estate, and business services; and community, social, and personal services-corresponding to divisions 6-9 (ISIC revision 2) or tabulation categories G-Q (ISIC revision 3).
All persons who worked for pay or assisted others in obtaining pay or profit for the duration at least one hour during the survey week, and are mainly employed in the mining and quarrying sector.
Employers are those workers who, working on their own account or with one or a few partners, hold the type of jobs defined as a "self-employment jobs" i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods and services produced), and, in this capacity, have engaged, on a continuous basis, one or more persons to work for them as employee(s).
Employers are those workers who, working on their own account or with one or a few partners, hold the type of jobs defined as a "self-employment jobs" i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods and services produced), and, in this capacity, have engaged, on a continuous basis, one or more persons to work for them as employee(s).
Employers are those workers who, working on their own account or with one or a few partners, hold the type of jobs defined as a "self-employment jobs" i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods and services produced), and, in this capacity, have engaged, on a continuous basis, one or more persons to work for them as employee(s).
Own-account workers are workers who, working on their own account or with one or more more partners, hold the types of jobs defined as "self-employment jobs" and have not engaged on a continuous basis any employees to work for them. Own account workers are a subcategory of "self-employed".
Own-account workers are workers who, working on their own account or with one or more more partners, hold the types of jobs defined as "self-employment jobs" and have not engaged on a continuous basis any employees to work for them. Own account workers are a subcategory of "self-employed".
Self-employed workers are those workers who, working on their own account or with one or a few partners or in cooperative, hold the type of jobs defined as a "self-employment jobs." i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods and services produced. Self-employed workers include four sub-categories of employers, own-account workers, members of producers' cooperatives, and contributing family workers.
Self-employed workers are those workers who, working on their own account or with one or a few partners or in cooperative, hold the type of jobs defined as a "self-employment jobs." i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods and services produced. Self-employed workers include four sub-categories of employers, own-account workers, members of producers' cooperatives, and contributing family workers.
Self-employed workers are those workers who, working on their own account or with one or a few partners or in cooperative, hold the type of jobs defined as a "self-employment jobs." i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods and services produced. Self-employed workers include four sub-categories of employers, own-account workers, members of producers' cooperatives, and contributing family workers.
The proportion of females in total employment in senior and middle management. It corresponds to major group 1 in both ISCO-08 and ISCO-88 minus category 14 in ISCO-08 (hospitality, retail and other services managers) and minus category 13 in ISCO-88 (general managers), since these comprise mainly managers of small enterprises.
All persons who worked for pay or assisted others in obtaining pay or profit for the duration at least one hour during the survey week, and are mainly employed in the social services sector.
Total employment shows the total number employed ages 15 and over.
Total employment shows the total number employed ages 15 and over.
Total employment shows the total number employed ages 15 and over.
Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population.
Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population.
Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population.
Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population.
Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population.
Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population.
All persons who worked for pay or assisted others in obtaining pay or profit for the duration at least one hour during the survey week, and are mainly employed in the trade, hotel and restaurant sector.
All persons who worked for pay or assisted others in obtaining pay or profit for the duration at least one hour during the survey week, and are mainly employed in the transportation and telecommunication sector.
All persons who worked for pay or assisted others in obtaining pay or profit for less than 35 hours per week.
Time-related underemployment refers to all persons in employment who (i) wanted to work additional hours, (ii) had worked less than a specified hours threshold (working time in all jobs), and (iii) were available to work additional hours given an opportunity for more work.
Time-related underemployment refers to all persons in employment who (i) wanted to work additional hours, (ii) had worked less than a specified hours threshold (working time in all jobs), and (iii) were available to work additional hours given an opportunity for more work.
Vulnerable employment is contributing family workers and own-account workers as a percentage of total employment.
Vulnerable employment is contributing family workers and own-account workers as a percentage of total employment.
Vulnerable employment is contributing family workers and own-account workers as a percentage of total employment.
Wage and salaried workers (employees) are those workers who hold the type of jobs defined as "paid employment jobs," where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which they work.
Wage and salaried workers (employees) are those workers who hold the type of jobs defined as "paid employment jobs," where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which they work.
Wage and salaried workers (employees) are those workers who hold the type of jobs defined as "paid employment jobs," where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which they work.
Unpaid family workers are people who work without pay in a market-oriented establishment operated by a related person living in the same household.
Unpaid family workers are people who work without pay in a market-oriented establishment operated by a related person living in the same household.
Unpaid family workers are people who work without pay in a market-oriented establishment operated by a related person living in the same household.
Contributing family workers are those workers who hold "self-employment jobs" as own-account workers in a market-oriented establishment operated by a related person living in the same household.
Contributing family workers are those workers who hold "self-employment jobs" as own-account workers in a market-oriented establishment operated by a related person living in the same household.
Contributing family workers are those workers who hold "self-employment jobs" as own-account workers in a market-oriented establishment operated by a related person living in the same household.
GDP per person employed is gross domestic product (GDP) divided by total employment in the economy. Purchasing power parity (PPP) GDP is GDP converted to 2021 constant international dollars using PPP rates. An international dollar has the same purchasing power over GDP that a U.S. dollar has in the United States.
GDP per person employed is gross domestic product (GDP) divided by total employment in the economy.
GDP per person employed is presented as an index with base year 2000 = 100. GDP per person employed is gross domestic product (GDP) divided by total employment.
Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The industry sector consists of mining and quarrying, manufacturing, construction, and public utilities (electricity, gas, and water), in accordance with divisions 2-5 (ISIC 2) or categories C-F (ISIC 3) or categories B-F (ISIC 4).
Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The industry sector consists of mining and quarrying, manufacturing, construction, and public utilities (electricity, gas, and water), in accordance with divisions 2-5 (ISIC 2) or categories C-F (ISIC 3) or categories B-F (ISIC 4).
Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The industry sector consists of mining and quarrying, manufacturing, construction, and public utilities (electricity, gas, and water), in accordance with divisions 2-5 (ISIC 2) or categories C-F (ISIC 3) or categories B-F (ISIC 4).
Employment in the informal economy as a percentage of total non-agricultural employment. It basically includes all jobs in unregistered and/or small-scale private unincorporated enterprises that produce goods or services meant for sale or barter. Self-employed street vendors, taxi drivers and home-base workers, regardless of size, are all considered enterprises. However, agricultural and related activities, households producing goods exclusively for their own use (e.g. subsistence farming, domestic housework, care work, and employment of paid domestic workers), and volunteer services rendered to the community are excluded.
Employment in the informal economy as a percentage of total non-agricultural employment. It basically includes all jobs in unregistered and/or small-scale private unincorporated enterprises that produce goods or services meant for sale or barter. Self-employed street vendors, taxi drivers and home-base workers, regardless of size, are all considered enterprises. However, agricultural and related activities, households producing goods exclusively for their own use (e.g. subsistence farming, domestic housework, care work, and employment of paid domestic workers), and volunteer services rendered to the community are excluded.
Employment in the informal economy as a percentage of total non-agricultural employment. It basically includes all jobs in unregistered and/or small-scale private unincorporated enterprises that produce goods or services meant for sale or barter. Self-employed street vendors, taxi drivers and home-base workers, regardless of size, are all considered enterprises. However, agricultural and related activities, households producing goods exclusively for their own use (e.g. subsistence farming, domestic housework, care work, and employment of paid domestic workers), and volunteer services rendered to the community are excluded.
Employment by economic activity refers to the distribution of economically active children by the major industrial categories of the International Standard Industrial Classification (ISIC). Manufacturing corresponds to division 3 (ISIC revision 2), category D (ISIC revision 3), or category C (ISIC revision 4). Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey.
Employment by economic activity refers to the distribution of economically active children by the major industrial categories of the International Standard Industrial Classification (ISIC). Manufacturing corresponds to division 3 (ISIC revision 2), category D (ISIC revision 3), or category C (ISIC revision 4). Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey.
Employment by economic activity refers to the distribution of economically active children by the major industrial categories of the International Standard Industrial Classification (ISIC). Manufacturing corresponds to division 3 (ISIC revision 2), category D (ISIC revision 3), or category C (ISIC revision 4). Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey.
Ratio of female to male wages in manufacturing refers to female to male wages and salaries in manufacturing.
Self-employed workers are people whose remuneration depends directly on the profits derived from the goods and services they produce, with or without other employees, and include employers, own-account workers, and members of producers cooperatives.
Self-employed workers are people whose remuneration depends directly on the profits derived from the goods and services they produce, with or without other employees, and include employers, own-account workers, and members of producers cooperatives.
Self-employed workers are people whose remuneration depends directly on the profits derived from the goods and services they produce, with or without other employees, and include employers, own-account workers, and members of producers cooperatives.
Employment by economic activity refers to the distribution of economically active children by the major industrial categories of the International Standard Industrial Classification (ISIC). Services correspond to divisions 6-9 (ISIC revision 2), categories G-P (ISIC revision 3), or categories G-U (ISIC revision 4). Services include wholesale and retail trade, hotels and restaurants, transport, financial intermediation, real estate, public administration, education, health and social work, other community services, and private household activity. Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey.
Employment by economic activity refers to the distribution of economically active children by the major industrial categories of the International Standard Industrial Classification (ISIC). Services correspond to divisions 6-9 (ISIC revision 2), categories G-P (ISIC revision 3), or categories G-U (ISIC revision 4). Services include wholesale and retail trade, hotels and restaurants, transport, financial intermediation, real estate, public administration, education, health and social work, other community services, and private household activity. Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey.
Employment by economic activity refers to the distribution of economically active children by the major industrial categories of the International Standard Industrial Classification (ISIC). Services correspond to divisions 6-9 (ISIC revision 2), categories G-P (ISIC revision 3), or categories G-U (ISIC revision 4). Services include wholesale and retail trade, hotels and restaurants, transport, financial intermediation, real estate, public administration, education, health and social work, other community services, and private household activity. Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey.
Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The services sector consists of wholesale and retail trade and restaurants and hotels; transport, storage, and communications; financing, insurance, real estate, and business services; and community, social, and personal services, in accordance with divisions 6-9 (ISIC 2) or categories G-Q (ISIC 3) or categories G-U (ISIC 4).
Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The services sector consists of wholesale and retail trade and restaurants and hotels; transport, storage, and communications; financing, insurance, real estate, and business services; and community, social, and personal services, in accordance with divisions 6-9 (ISIC 2) or categories G-Q (ISIC 3) or categories G-U (ISIC 4).
Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The services sector consists of wholesale and retail trade and restaurants and hotels; transport, storage, and communications; financing, insurance, real estate, and business services; and community, social, and personal services, in accordance with divisions 6-9 (ISIC 2) or categories G-Q (ISIC 3) or categories G-U (ISIC 4).
Persons 15 year old and over who were working, temporarily absent from work but having jobs, which both are categorized as employed, and those who did not have work and were looking for work.
Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey.
Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey.
Average working hours of children studying and working refer to the average weekly working hours of those children who are attending school in combination with economic activity.
Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Study and work refer to children attending school in combination with economic activity.
Average working hours of children studying and working refer to the average weekly working hours of those children who are attending school in combination with economic activity.
Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Study and work refer to children attending school in combination with economic activity.
Average working hours of children studying and working refer to the average weekly working hours of those children who are attending school in combination with economic activity.
Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Study and work refer to children attending school in combination with economic activity.
Average working hours of children working only refers to the average weekly working hours of those children who are involved in economic activity and not attending school.
Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Work only refers to children involved in economic activity and not attending school.
Average working hours of children working only refers to the average weekly working hours of those children who are involved in economic activity and not attending school.
Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Work only refers to children involved in economic activity and not attending school.
Average working hours of children working only refers to the average weekly working hours of those children who are involved in economic activity and not attending school.
Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Work only refers to children involved in economic activity and not attending school.
Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey.
Total labor force comprises people ages 15 to 24 who meet the International Labour Organization definition of the economically active population: all people who supply labor for the production of goods and services during a specified period. It includes both the employed and the unemployed. While national practices vary in the treatment of such groups as the armed forces and seasonal or part-time workers, in general the labor force includes the armed forces, the unemployed, and first-time job-seekers, but excludes homemakers and other unpaid caregivers and workers in the informal sector.
Labor participation rate, female (% of female population ages 15-24)
Total labor force comprises people ages 15-24 who meet the International Labour Organization definition of the economically active population: all people who supply labor for the production of goods and services during a specified period. It includes both the employed and the unemployed. While national practices vary in the treatment of such groups as the armed forces and seasonal or part-time workers, in general the labor force includes the armed forces, the unemployed, and first-time job-seekers, but excludes homemakers and other unpaid caregivers and workers in the informal sector.
Total labor force comprises people ages 15 to 24 who meet the International Labour Organization definition of the economically active population: all people who supply labor for the production of goods and services during a specified period. It includes both the employed and the unemployed. While national practices vary in the treatment of such groups as the armed forces and seasonal or part-time workers, in general the labor force includes the armed forces, the unemployed, and first-time job-seekers, but excludes homemakers and other unpaid caregivers and workers in the informal sector.
Labor participation rate, male (% of male population ages 15-24)
The labor force comprising people ages 15 to 64 who meet the International Labour Organization definition of the economically active population: all people who supply labor for the production of goods and services during a specified period. It includes both the employed and the unemployed. While national practices vary in the treatment of such groups as the armed forces and seasonal or part-time workers, in general the labor force includes the armed forces, the unemployed, and first-time job-seekers, but excludes homemakers and other unpaid caregivers and workers in the informal sector.
The labor force comprising people ages 15 to 64 who meet the International Labour Organization definition of the economically active population: all people who supply labor for the production of goods and services during a specified period. It includes both the employed and the unemployed. While national practices vary in the treatment of such groups as the armed forces and seasonal or part-time workers, in general the labor force includes the armed forces, the unemployed, and first-time job-seekers, but excludes homemakers and other unpaid caregivers and workers in the informal sector.
The labor force comprising people ages 15 to 64 who meet the International Labour Organization definition of the economically active population: all people who supply labor for the production of goods and services during a specified period. It includes both the employed and the unemployed. While national practices vary in the treatment of such groups as the armed forces and seasonal or part-time workers, in general the labor force includes the armed forces, the unemployed, and first-time job-seekers, but excludes homemakers and other unpaid caregivers and workers in the informal sector.
The labor force comprising people ages 15 to 64 who meet the International Labour Organization definition of the economically active population: all people who supply labor for the production of goods and services during a specified period. It includes both the employed and the unemployed. While national practices vary in the treatment of such groups as the armed forces and seasonal or part-time workers, in general the labor force includes the armed forces, the unemployed, and first-time job-seekers, but excludes homemakers and other unpaid caregivers and workers in the informal sector.
The labor force comprising people ages 15 to 64 who meet the International Labour Organization definition of the economically active population: all people who supply labor for the production of goods and services during a specified period. It includes both the employed and the unemployed. While national practices vary in the treatment of such groups as the armed forces and seasonal or part-time workers, in general the labor force includes the armed forces, the unemployed, and first-time job-seekers, but excludes homemakers and other unpaid caregivers and workers in the informal sector.
Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period.
Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period.
Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period.
Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period.
Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period.
Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period.
Labor force participation rate is the proportion of the population ages 15-64 that is economically active: all people who supply labor for the production of goods and services during a specified period.
Labor force participation rate is the proportion of the population ages 15-64 that is economically active: all people who supply labor for the production of goods and services during a specified period.
Labor force participation rate is the proportion of the population ages 15-64 that is economically active: all people who supply labor for the production of goods and services during a specified period.
The ratio of the labor force with advanced education to the working-age population with advanced education. Advanced education comprises short-cycle tertiary education, a bachelor’s degree or equivalent education level, a master’s degree or equivalent education level, or doctoral degree or equivalent education level according to the International Standard Classification of Education 2011 (ISCED 2011).
The ratio of the labor force with advanced education to the working-age population with advanced education. Advanced education comprises short-cycle tertiary education, a bachelor’s degree or equivalent education level, a master’s degree or equivalent education level, or doctoral degree or equivalent education level according to the International Standard Classification of Education 2011 (ISCED 2011).
The ratio of the labor force with advanced education to the working-age population with advanced education. Advanced education comprises short-cycle tertiary education, a bachelor’s degree or equivalent education level, a master’s degree or equivalent education level, or doctoral degree or equivalent education level according to the International Standard Classification of Education 2011 (ISCED 2011).
The ratio of the labor force with basic education to the working-age population with basic education. Basic education comprises primary education or lower secondary education according to the International Standard Classification of Education 2011 (ISCED 2011).
The ratio of the labor force with basic education to the working-age population with basic education. Basic education comprises primary education or lower secondary education according to the International Standard Classification of Education 2011 (ISCED 2011).
The ratio of the labor force with basic education to the working-age population with basic education. Basic education comprises primary education or lower secondary education according to the International Standard Classification of Education 2011 (ISCED 2011).
Labor force participation rate is the proportion of the population ages 25-34 that is economically active: all people who supply labor for the production of goods and services during a specified period.  The participation rates are harmonized to account for differences in national data collection and tabulation methodologies as well as for other country-specific factors such as military service requirements. The series includes both nationally reported and imputed data and only estimates that are national, meaning there are no geographic limitations in coverage.
Labor force participation rate is the proportion of the population ages 25-34 that is economically active: all people who supply labor for the production of goods and services during a specified period.  The participation rates are harmonized to account for differences in national data collection and tabulation methodologies as well as for other country-specific factors such as military service requirements. The series includes both nationally reported and imputed data and only estimates that are national, meaning there are no geographic limitations in coverage.
Labor force participation rate is the proportion of the population ages 25-34 that is economically active: all people who supply labor for the production of goods and services during a specified period.  The participation rates are harmonized to account for differences in national data collection and tabulation methodologies as well as for other country-specific factors such as military service requirements. The series includes both nationally reported and imputed data and only estimates that are national, meaning there are no geographic limitations in coverage.
Labor force participation rate is the proportion of the population ages 25-54 that is economically active: all people who supply labor for the production of goods and services during a specified period.  The participation rates are harmonized to account for differences in national data collection and tabulation methodologies as well as for other country-specific factors such as military service requirements. The series includes both nationally reported and imputed data and only estimates that are national, meaning there are no geographic limitations in coverage.
Labor force participation rate is the proportion of the population ages 25-54 that is economically active: all people who supply labor for the production of goods and services during a specified period.  The participation rates are harmonized to account for differences in national data collection and tabulation methodologies as well as for other country-specific factors such as military service requirements. The series includes both nationally reported and imputed data and only estimates that are national, meaning there are no geographic limitations in coverage.
Labor force participation rate is the proportion of the population ages 25-54 that is economically active: all people who supply labor for the production of goods and services during a specified period.  The participation rates are harmonized to account for differences in national data collection and tabulation methodologies as well as for other country-specific factors such as military service requirements. The series includes both nationally reported and imputed data and only estimates that are national, meaning there are no geographic limitations in coverage.
Labor force participation rate is the proportion of the population ages 35-54 that is economically active: all people who supply labor for the production of goods and services during a specified period.  The participation rates are harmonized to account for differences in national data collection and tabulation methodologies as well as for other country-specific factors such as military service requirements. The series includes both nationally reported and imputed data and only estimates that are national, meaning there are no geographic limitations in coverage.
Labor force participation rate is the proportion of the population ages 35-54 that is economically active: all people who supply labor for the production of goods and services during a specified period.  The participation rates are harmonized to account for differences in national data collection and tabulation methodologies as well as for other country-specific factors such as military service requirements. The series includes both nationally reported and imputed data and only estimates that are national, meaning there are no geographic limitations in coverage.
Labor force participation rate is the proportion of the population ages 35-54 that is economically active: all people who supply labor for the production of goods and services during a specified period.  The participation rates are harmonized to account for differences in national data collection and tabulation methodologies as well as for other country-specific factors such as military service requirements. The series includes both nationally reported and imputed data and only estimates that are national, meaning there are no geographic limitations in coverage.
Labor force participation rate is the proportion of the population ages 55-64 that is economically active: all people who supply labor for the production of goods and services during a specified period.  The participation rates are harmonized to account for differences in national data collection and tabulation methodologies as well as for other country-specific factors such as military service requirements. The series includes both nationally reported and imputed data and only estimates that are national, meaning there are no geographic limitations in coverage.
Labor force participation rate is the proportion of the population ages 55-64 that is economically active: all people who supply labor for the production of goods and services during a specified period.  The participation rates are harmonized to account for differences in national data collection and tabulation methodologies as well as for other country-specific factors such as military service requirements. The series includes both nationally reported and imputed data and only estimates that are national, meaning there are no geographic limitations in coverage.
Labor force participation rate is the proportion of the population ages 55-64 that is economically active: all people who supply labor for the production of goods and services during a specified period.  The participation rates are harmonized to account for differences in national data collection and tabulation methodologies as well as for other country-specific factors such as military service requirements. The series includes both nationally reported and imputed data and only estimates that are national, meaning there are no geographic limitations in coverage.
Labor force participation rate is the proportion of the population ages 65 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.  The participation rates are harmonized to account for differences in national data collection and tabulation methodologies as well as for other country-specific factors such as military service requirements. The series includes both nationally reported and imputed data and only estimates that are national, meaning there are no geographic limitations in coverage.
Labor force participation rate is the proportion of the population ages 65 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.  The participation rates are harmonized to account for differences in national data collection and tabulation methodologies as well as for other country-specific factors such as military service requirements. The series includes both nationally reported and imputed data and only estimates that are national, meaning there are no geographic limitations in coverage.
Labor force participation rate is the proportion of the population ages 65 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.  The participation rates are harmonized to account for differences in national data collection and tabulation methodologies as well as for other country-specific factors such as military service requirements. The series includes both nationally reported and imputed data and only estimates that are national, meaning there are no geographic limitations in coverage.
Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.
Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.
Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. Ratio of female to male labor force participation rate is calculated by dividing female labor force participation rate by male labor force participation rate and multiplying by 100.
Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. Ratio of female to male labor force participation rate is calculated by dividing female labor force participation rate by male labor force participation rate and multiplying by 100.
Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.
Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.
Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.
Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.
The ratio of the labor force with intermediate education to the working-age population with intermediate education. Intermediate education comprises upper secondary or post-secondary non tertiary education according to the International Standard Classification of Education 2011 (ISCED 2011).
The ratio of the labor force with intermediate education to the working-age population with intermediate education. Intermediate education comprises upper secondary or post-secondary non tertiary education according to the International Standard Classification of Education 2011 (ISCED 2011).
The ratio of the labor force with intermediate education to the working-age population with intermediate education. Intermediate education comprises upper secondary or post-secondary non tertiary education according to the International Standard Classification of Education 2011 (ISCED 2011).
Part time employment refers to regular employment in which working time is substantially less than normal. Definitions of part time employment differ by country.
Part time employment refers to regular employment in which working time is substantially less than normal. Definitions of part time employment differ by country.
Part time employment refers to regular employment in which working time is substantially less than normal. Definitions of part time employment differ by country.
Part time employment refers to regular employment in which working time is substantially less than normal. Definitions of part time employment differ by country.
Female labor force with primary education is the share of the female labor force that attained or completed primary education as the highest level of education.
Male labor force with primary education is the share of the male labor force that attained or completed primary education as the highest level of education.
Labor force with primary education is the share of the total labor force that attained or completed primary education as the highest level of education.
Female labor force with secondary education is the share of the female labor force that attained or completed secondary education as the highest level of education.
Male labor force with secondary education is the share of the male labor force that attained or completed secondary education as the highest level of education.
Labor force with secondary education is the share of the total labor force that attained or completed secondary education as the highest level of education.
Female labor force with tertiary education is the share of the female labor force that attained or completed tertiary education as the highest level of education.
Male labor force with tertiary education is the share of the male labor force that attained or completed tertiary education as the highest level of education.
Labor force with tertiary education is the share of the total labor force that attained or completed tertiary education as the highest level of education.
Female labor force comprises women ages 15 and older who supply labor for the production of goods and services during a specified period. It includes people who are currently employed and people who are unemployed but seeking work as well as first-time job-seekers. Not everyone who works is included, however. Unpaid workers, family workers, and students are often omitted, and some countries do not count members of the armed forces. Labor force size tends to vary during the year as seasonal workers enter and leave.
Female labor force as a percentage of the total show the extent to which women are active in the labor force. Labor force comprises people ages 15 and older who supply labor for the production of goods and services during a specified period.
Labor force comprises people ages 15 and older who supply labor for the production of goods and services during a specified period. It includes people who are currently employed and people who are unemployed but seeking work as well as first-time job-seekers. Not everyone who works is included, however. Unpaid workers, family workers, and students are often omitted, and some countries do not count members of the armed forces. Labor force size tends to vary during the year as seasonal workers enter and leave.
Male labor force comprises all males who meet the International Labour Organization's definition of the economically active population.
Male labor force as a percentage of the total show the extent to which men are active in the labor force. Labor force comprises people ages 15 and older who meet the International Labour Organization's definition of the economically active population.
Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.
Ratio of female to male youth unemployment is the percentage of female to male youth unemployment rates.
Ratio of female to male youth unemployment is the percentage of female to male youth unemployment rates.
Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.
Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.
The percentage of the labor force with an advanced level of education who are unemployed. Advanced education comprises short-cycle tertiary education, a bachelor’s degree or equivalent education level, a master’s degree or equivalent education level, or doctoral degree or equivalent education level according to the International Standard Classification of Education 2011 (ISCED 2011).
The percentage of the labor force with an advanced level of education who are unemployed. Advanced education comprises short-cycle tertiary education, a bachelor’s degree or equivalent education level, a master’s degree or equivalent education level, or doctoral degree or equivalent education level according to the International Standard Classification of Education 2011 (ISCED 2011).
The percentage of the labor force with an advanced level of education who are unemployed. Advanced education comprises short-cycle tertiary education, a bachelor’s degree or equivalent education level, a master’s degree or equivalent education level, or doctoral degree or equivalent education level according to the International Standard Classification of Education 2011 (ISCED 2011).
The percentage of the labor force with a basic level of education who are unemployed. Basic education comprises primary education or lower secondary education according to the International Standard Classification of Education 2011 (ISCED 2011).
The percentage of the labor force with a basic level of education who are unemployed. Basic education comprises primary education or lower secondary education according to the International Standard Classification of Education 2011 (ISCED 2011).
The percentage of the labor force with a basic level of education who are unemployed. Basic education comprises primary education or lower secondary education according to the International Standard Classification of Education 2011 (ISCED 2011).
The percentage of the labor force with an intermediate level of education who are unemployed. Intermediate education comprises upper secondary or post-secondary non tertiary education according to the International Standard Classification of Education 2011 (ISCED 2011).
The percentage of the labor force with an intermediate level of education who are unemployed. Intermediate education comprises upper secondary or post-secondary non tertiary education according to the International Standard Classification of Education 2011 (ISCED 2011).
The percentage of the labor force with an intermediate level of education who are unemployed. Intermediate education comprises upper secondary or post-secondary non tertiary education according to the International Standard Classification of Education 2011 (ISCED 2011).
Long-term unemployment refers to the number of people with continuous periods of unemployment extending for a year or longer, expressed as a percentage of the total unemployed.
Long-term unemployment refers to the number of people with continuous periods of unemployment extending for a year or longer, expressed as a percentage of the total unemployed.
Long-term unemployment refers to the number of people with continuous periods of unemployment extending for a year or longer, expressed as a percentage of the total unemployed.
Share of youth not in education, employment or training (NEET) is the proportion of young people who are not in education, employment, or training to the population of the corresponding age group: youth (ages 15 to 24); persons ages 15 to 29; or both age groups.
Share of youth not in education, employment or training (NEET) is the proportion of young people who are not in education, employment, or training to the population of the corresponding age group: youth (ages 15 to 24); persons ages 15 to 29; or both age groups.
Share of youth not in education, employment or training (NEET) is the proportion of young people who are not in education, employment, or training to the population of the corresponding age group: youth (ages 15 to 24); persons ages 15 to 29; or both age groups.
Share of youth not in education, employment or training (NEET) is the proportion of young people who are not in education, employment, or training to the population of the corresponding age group: youth (ages 15 to 24); persons ages 15 to 29; or both age groups.
Share of youth not in education, employment or training (NEET) is the proportion of young people who are not in education, employment, or training to the population of the corresponding age group: youth (ages 15 to 24); persons ages 15 to 29; or both age groups.
Share of youth not in education, employment or training (NEET) is the proportion of young people who are not in education, employment, or training to the population of the corresponding age group: youth (ages 15 to 24); persons ages 15 to 29; or both age groups.
Female unemployment with primary education is the share of the female unemployed who attained or completed primary education as the highest level.
Male unemployment with primary education is the share of the male unemployed who attained or completed primary education as the highest level.
Unemployment with primary education is the share of the total unemployed who attained or completed primary education as the highest level.
Female unemployment with secondary education is the share of the female unemployed who attained or completed secondary education as the highest level.
Male unemployment with secondary education is the share of the male unemployed who attained or completed secondary education as the highest level.
Unemployment with secondary education is the share of the total unemployed who attained or completed secondary education as the highest level.
Female unemployment with tertiary education is the share of the female unemployed who attained or completed tertiary education as the highest level.
Male unemployment with tertiary education is the share of the male unemployed who attained or completed tertiary education as the highest level.
Unemployment with tertiary education is the share of the total unemployed who attained or completed tertiary education as the highest level.
Unemployed is a person in the labour force, who at the reference period, did not have a job but was actively looking for one.
Unemployment refers to the share of the labor force that is without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
Unemployment refers to the share of the labor force that is without work but available for and seeking employment.
Unemployment refers to the share of the labor force that is without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
Unemployment refers to the share of the labor force that is without work but available for and seeking employment.
Unemployment refers to the share of the labor force that is without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
Unemployment refers to the share of the labor force that is without work but available for and seeking employment.
Wage workers (also known as employees) are people who hold explicit (written or oral) or implicit employment contracts that provide basic remuneration that does not depend directly on the revenue of the unit for which they work.
Wage workers (also known as employees) are people who hold explicit (written or oral) or implicit employment contracts that provide basic remuneration that does not depend directly on the revenue of the unit for which they work.
Wage workers (also known as employees) are people who hold explicit (written or oral) or implicit employment contracts that provide basic remuneration that does not depend directly on the revenue of the unit for which they work.
Emigration rate of tertiary educated shows the stock of emigrants ages 25 and older, residing in an OECD country other than that in which they were born, with at least one year of tertiary education as a percentage of the population age 25 and older with tertiary education.
Net migration is the net total of migrants during the period, that is, the number of immigrants minus the number of emigrants, including both citizens and noncitizens.
Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statute, people granted refugee-like humanitarian status, and people provided temporary protection. Asylum seekers--people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers--are excluded. Palestinian refugees are people (and their descendants) whose residence was Palestine between June 1946 and May 1948 and who lost their homes and means of livelihood as a result of the 1948 Arab-Israeli conflict. Country of asylum is the country where an asylum claim was filed and granted.
Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statute, people granted refugee-like humanitarian status, and people provided temporary protection. Asylum seekers--people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers--are excluded. Palestinian refugees are people (and their descendants) whose residence was Palestine between June 1946 and May 1948 and who lost their homes and means of livelihood as a result of the 1948 Arab-Israeli conflict. Country of origin generally refers to the nationality or country of citizenship of a claimant.
International migrant stock is the number of people born in a country other than that in which they live. It also includes refugees. The data used to estimate the international migrant stock at a particular time are obtained mainly from population censuses. The estimates are derived from the data on foreign-born population--people who have residence in one country but were born in another country. When data on the foreign-born population are not available, data on foreign population--that is, people who are citizens of a country other than the country in which they reside--are used as estimates. After the breakup of the Soviet Union in 1991 people living in one of the newly independent countries who were born in another were classified as international migrants. Estimates of migrant stock in the newly independent states from 1990 on are based on the 1989 census of the Soviet Union. For countries with information on the international migrant stock for at least two points in time, interpolation or extrapolation was used to estimate the international migrant stock on July 1 of the reference years. For countries with only one observation, estimates for the reference years were derived using rates of change in the migrant stock in the years preceding or following the single observation available. A model was used to estimate migrants for countries that had no data.
International migrant stock is the number of people born in a country other than that in which they live. It also includes refugees. The data used to estimate the international migrant stock at a particular time are obtained mainly from population censuses. The estimates are derived from the data on foreign-born population--people who have residence in one country but were born in another country. When data on the foreign-born population are not available, data on foreign population--that is, people who are citizens of a country other than the country in which they reside--are used as estimates. After the breakup of the Soviet Union in 1991 people living in one of the newly independent countries who were born in another were classified as international migrants. Estimates of migrant stock in the newly independent states from 1990 on are based on the 1989 census of the Soviet Union. For countries with information on the international migrant stock for at least two points in time, interpolation or extrapolation was used to estimate the international migrant stock on July 1 of the reference years. For countries with only one observation, estimates for the reference years were derived using rates of change in the migrant stock in the years preceding or following the single observation available. A model was used to estimate migrants for countries that had no data.
Number of people who are undernourished shows the number of people whose habitual food consumption is insufficient to provide the dietary energy levels that are required to maintain a normal active and healthy life.
Population below minimum dietary energy consumption is the population whose food intake is insufficient to meet dietary energy requirements continuously.
Prevalence of undernourishments is the percentage of the population whose habitual food consumption is insufficient to provide the dietary energy levels that are required to maintain a normal active and healthy life. Data showing as 2.5 may signify a prevalence of undernourishment below 2.5%.
The depth of the food deficit indicates how many calories would be needed to lift the undernourished from their status, everything else being constant. The average intensity of food deprivation of the undernourished, estimated as the difference between the average dietary energy requirement and the average dietary energy consumption of the undernourished population (food-deprived), is multiplied by the number of undernourished to provide an estimate of the total food deficit in the country, which is then normalized by the total population.
Depth of hunger or the intensity of food deprivation, indicates how much food-deprived people fall short of minimum food needs in terms of dietary energy. The food deficit, in kilocalories per person per day, is measured by comparing the average amount of dietary energy that undernourished people get from the foods they eat with the minimum amount of dietary energy they need to maintain body weight and undertake light activity. The depth of hunger is low when it is less than 200 kilocalories per person per day, and high when it is higher than 300 kilocalories per person per day.
The percentage of people in the population who live in households classified as moderately or severely food insecure. A household is classified as moderately or severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to low quality diets and might have been forced to also reduce the quantity of food they would normally eat because of a lack of money or other resources.
Percentage of households which have salt they used for cooking that tested positive (>0ppm) for presence of iodine.
The percentage of people in the population who live in households classified as severely food insecure. A household is classified as severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to several of the most severe experiences described in the FIES questions, such as to have been forced to reduce the quantity of the food, to have skipped meals, having gone hungry, or having to go for a whole day without eating because of a lack of money or other resources.
Vitamin A supplements for postpartum women: Percentage of women with a birth in the five (two) years preceding the survey who received a vitamin A dose in the first two months after delivery. The DHS surveys refer births in the five years preceding the survey, and the MICS surveys refer births in the two years preceding the survey.
Vitamin A supplements for postpartum women: Percentage of women with a birth in the five (two) years preceding the survey who received a vitamin A dose in the first two months after delivery. The DHS surveys refer births in the five years preceding the survey, and the MICS surveys refer births in the two years preceding the survey.
Vitamin A supplements for postpartum women: Percentage of women with a birth in the five (two) years preceding the survey who received a vitamin A dose in the first two months after delivery. The DHS surveys refer births in the five years preceding the survey, and the MICS surveys refer births in the two years preceding the survey.
Vitamin A supplements for postpartum women: Percentage of women with a birth in the five (two) years preceding the survey who received a vitamin A dose in the first two months after delivery. The DHS surveys refer births in the five years preceding the survey, and the MICS surveys refer births in the two years preceding the survey.
Vitamin A supplements for postpartum women: Percentage of women with a birth in the five (two) years preceding the survey who received a vitamin A dose in the first two months after delivery. The DHS surveys refer births in the five years preceding the survey, and the MICS surveys refer births in the two years preceding the survey.
Vitamin A supplements for children: Percentage of children aged 6-59 months who received vitamin A supplements in the six months preceding the survey.
Vitamin A supplements for children: Percentage of children aged 6-59 months who received vitamin A supplements in the six months preceding the survey.
Vitamin A supplements for children: Percentage of children aged 6-59 months who received vitamin A supplements in the six months preceding the survey.
Vitamin A supplements for children: Percentage of children aged 6-59 months who received vitamin A supplements in the six months preceding the survey.
Vitamin A supplements for children: Percentage of children aged 6-59 months who received vitamin A supplements in the six months preceding the survey.
Vitamin A supplementation coverage rate refers to the percentage of children ages 6-59 months old receiving two high-dose vitamin A supplements in a calendar year.
Prevalence of child malnutrition is the percentage of children under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's new child growth standards released in 2006.
Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's new child growth standards released in 2006.
Prevalence of child malnutrition is the percentage of children under age 5 whose height for age (stunting) is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's new child growth standards released in 2006.
Wasting prevalence is the proportion of children under five whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59.
Yet to receive metadata
Adolescent fertility rate is the number of births per 1,000 women ages 15-19.
Completeness of infant death reporting is the number of infant deaths reported by national statistics authorities to the United Nations Statistics Division's Demography Yearbook divided by the number of infant deaths estimated by the United Nations Population Division.
Completeness of total death reporting is the number of total deaths reported by national statistics authorities to the United Nations Statistics Division's Demography Yearbook divided by the number of total deaths estimated by the United Nations Population Division.
Antenatal care coverage (at least one visit) is the percentage of women aged 15-49 with a live birth in a given time period that received antenatal care provided by skilled health personnel (doctors, nurses, or midwives) at least once during pregnancy, as a percentage of women age 15-49 years with a live birth in a given time period. A skilled health worker/attendant is an accredited health professional - such as a midwife, doctor or nurse - who has been educated and trained to proficiency in the skills needed to manage normal (uncomplicated) pregnancies, childbirth and the immediate postnatal period, and in the identification, management and referral of complications in women and newborns. Both trained and untrained traditional birth attendants (TBA) are excluded.
Antenatal care coverage (at least four visits) is the percentage of women aged 15-49 with a live birth in a given time period that received antenatal care four or more times with ANY provider (whether skilled or unskilled), as a percentage of women age 15-49 years with a live birth in a given time period.
Adult mortality rate, female, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old female dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages.
Adult mortality rate, male, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old male dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages.
Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.
Crude death rate indicates the number of deaths occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.
Mean number of children ever born to women aged 40-49: Mean number of children ever born (CEB) to women aged 40-49 years.
Mean number of children ever born to women aged 40-49: Mean number of children ever born (CEB) to women aged 40-49 years.
Mean number of children ever born to women aged 40-49: Mean number of children ever born (CEB) to women aged 40-49 years.
Mean number of children ever born to women aged 40-49: Mean number of children ever born (CEB) to women aged 40-49 years.
Mean number of children ever born to women aged 40-49: Mean number of children ever born (CEB) to women aged 40-49 years.
Contraceptive prevalence, any modern method is the percentage of all women ages 15-49 who are practicing, or whose sexual partners are practicing, at least one modern method of contraception.  Modern methods of contraception include female and male sterilization, oral hormonal pills, the intra-uterine device (IUD), the male condom, injectables, the implant (including Norplant), vaginal barrier methods, the female condom and emergency contraception.
Current use of contraception: Percentage of currently married women who are using or whose partners are using any method of contraception and modern method of contraception. Modern method includes female sterilization, male sterilization, pill, IUD, injections, implants, male condom, female condom, diaphragm, foam, and jelly. Traditional method includes periodic abstinence, withdrawal, long term abstinence, folk method, and others.
Current use of contraception: Percentage of currently married women who are using or whose partners are using any method of contraception and modern method of contraception. Modern method includes female sterilization, male sterilization, pill, IUD, injections, implants, male condom, female condom, diaphragm, foam, and jelly. Traditional method includes periodic abstinence, withdrawal, long term abstinence, folk method, and others.
Current use of contraception: Percentage of currently married women who are using or whose partners are using any method of contraception and modern method of contraception. Modern method includes female sterilization, male sterilization, pill, IUD, injections, implants, male condom, female condom, diaphragm, foam, and jelly. Traditional method includes periodic abstinence, withdrawal, long term abstinence, folk method, and others.
Current use of contraception: Percentage of currently married women who are using or whose partners are using any method of contraception and modern method of contraception. Modern method includes female sterilization, male sterilization, pill, IUD, injections, implants, male condom, female condom, diaphragm, foam, and jelly. Traditional method includes periodic abstinence, withdrawal, long term abstinence, folk method, and others.
Current use of contraception: Percentage of currently married women who are using or whose partners are using any method of contraception and modern method of contraception. Modern method includes female sterilization, male sterilization, pill, IUD, injections, implants, male condom, female condom, diaphragm, foam, and jelly. Traditional method includes periodic abstinence, withdrawal, long term abstinence, folk method, and others.
Contraceptive prevalence, any modern method is the percentage of sexually active unmarried women ages 15-49 who are practicing, or whose sexual partners are practicing, at least one modern method of contraception.  Modern methods of contraception include female and male sterilization, oral hormonal pills, the intra-uterine device (IUD), the male condom, injectables, the implant (including Norplant), vaginal barrier methods, the female condom and emergency contraception.
Contraceptive prevalence, any modern method is the percentage of married women ages 15-49 who are practicing, or whose sexual partners are practicing, at least one modern method of contraception.  Modern methods of contraception include female and male sterilization, oral hormonal pills, the intra-uterine device (IUD), the male condom, injectables, the implant (including Norplant), vaginal barrier methods, the female condom and emergency contraception.
Contraceptive prevalence, any method is the percentage of all women ages 15-49 who are practicing, or whose sexual partners are practicing, any method of contraception (modern or traditional). Modern methods of contraception include female and male sterilization, oral hormonal pills, the intra-uterine device (IUD), the male condom, injectables, the implant (including Norplant), vaginal barrier methods, the female condom and emergency contraception. Traditional methods of contraception include rhythm (e.g., fertility awareness based methods, periodic abstinence), withdrawal and other traditional methods.
Contraceptive prevalence, condom use is the percentage of women married or in-union aged 15 to 49, whose sexual partner is currently using a male condom for contraceptive purposes.
Contraceptive prevalence, modern methods is the percentage of women married or in-union aged 15 to 49 who are currently using, or whose sexual partner is using, at least one modern method of contraception, regardless of the method used. Modern methods of contraception include female and male sterilization, oral hormonal pills, the intra-uterine device (IUD), the male condom, injectables, the implant (including Norplant), vaginal barrier methods, the female condom and emergency contraception.
Current use of contraception: Percentage of currently married women who are using or whose partners are using any method of contraception and modern method of contraception. Modern method includes female sterilization, male sterilization, pill, IUD, injections, implants, male condom, female condom, diaphragm, foam, and jelly. Traditional method includes periodic abstinence, withdrawal, long term abstinence, folk method, and others.
Current use of contraception: Percentage of currently married women who are using or whose partners are using any method of contraception and modern method of contraception. Modern method includes female sterilization, male sterilization, pill, IUD, injections, implants, male condom, female condom, diaphragm, foam, and jelly. Traditional method includes periodic abstinence, withdrawal, long term abstinence, folk method, and others.
Current use of contraception: Percentage of currently married women who are using or whose partners are using any method of contraception and modern method of contraception. Modern method includes female sterilization, male sterilization, pill, IUD, injections, implants, male condom, female condom, diaphragm, foam, and jelly. Traditional method includes periodic abstinence, withdrawal, long term abstinence, folk method, and others.
Current use of contraception: Percentage of currently married women who are using or whose partners are using any method of contraception and modern method of contraception. Modern method includes female sterilization, male sterilization, pill, IUD, injections, implants, male condom, female condom, diaphragm, foam, and jelly. Traditional method includes periodic abstinence, withdrawal, long term abstinence, folk method, and others.
Current use of contraception: Percentage of currently married women who are using or whose partners are using any method of contraception and modern method of contraception. Modern method includes female sterilization, male sterilization, pill, IUD, injections, implants, male condom, female condom, diaphragm, foam, and jelly. Traditional method includes periodic abstinence, withdrawal, long term abstinence, folk method, and others.
Contraceptive prevalence, any method is the percentage of sexually active unmarried women ages 15-49 who are practicing, or whose sexual partners are practicing, any method of contraception (modern or traditional). Modern methods of contraception include female and male sterilization, oral hormonal pills, the intra-uterine device (IUD), the male condom, injectables, the implant (including Norplant), vaginal barrier methods, the female condom and emergency contraception. Traditional methods of contraception include rhythm (e.g., fertility awareness based methods, periodic abstinence), withdrawal and other traditional methods.
Contraceptive prevalence, any method is the percentage of married women ages 15-49 who are practicing, or whose sexual partners are practicing, any method of contraception (modern or traditional). Modern methods of contraception include female and male sterilization, oral hormonal pills, the intra-uterine device (IUD), the male condom, injectables, the implant (including Norplant), vaginal barrier methods, the female condom and emergency contraception. Traditional methods of contraception include rhythm (e.g., fertility awareness based methods, periodic abstinence), withdrawal and other traditional methods.
Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female live births in a given year.
Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year.
Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male live births in a given year.
Infant mortality rate: Number of deaths to children under age twelve months per 1000 live births, based on experience during the reference period before the survey. The reference period is ten years preceding the survey for DHS surveys, and the reference period varies for MICS surveys (often three to five years preceding the survey).
Infant mortality rate: Number of deaths to children under age twelve months per 1000 live births, based on experience during the reference period before the survey. The reference period is ten years preceding the survey for DHS surveys, and the reference period varies for MICS surveys (often three to five years preceding the survey).
Infant mortality rate: Number of deaths to children under age twelve months per 1000 live births, based on experience during the reference period before the survey. The reference period is ten years preceding the survey for DHS surveys, and the reference period varies for MICS surveys (often three to five years preceding the survey).
Infant mortality rate: Number of deaths to children under age twelve months per 1000 live births, based on experience during the reference period before the survey. The reference period is ten years preceding the survey for DHS surveys, and the reference period varies for MICS surveys (often three to five years preceding the survey).
Infant mortality rate: Number of deaths to children under age twelve months per 1000 live births, based on experience during the reference period before the survey. The reference period is ten years preceding the survey for DHS surveys, and the reference period varies for MICS surveys (often three to five years preceding the survey).
Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.
Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.
Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.
Life expectancy at age 60, female is the average number of years that a female at age 60 would live if prevailing patterns of mortality at the time of age 60 were to stay the same throughout her life.
Life expectancy at age 60, male is the average number of years that a male at age 60 would live if prevailing patterns of mortality at the time of age 60 were to stay the same throughout his life.
Mean age at marriage, female shows the average length of single life expressed in years among those females who marry before age 50. It is a synthetic indicator calculated from marital status categories of men and women aged 15 to 54 at the census or survey date.
Mean age at marriage, male shows the average length of single life expressed in years among those males who marry before age 50. It is a synthetic indicator calculated from marital status categories of men and women aged 15 to 54 at the census or survey date.
Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.
Total fertility rate (TFR): The number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates currently observed. The reference period is three years preceding the survey.
Total fertility rate (TFR): The number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates currently observed. The reference period is three years preceding the survey.
Total fertility rate (TFR): The number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates currently observed. The reference period is three years preceding the survey.
Total fertility rate (TFR): The number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates currently observed. The reference period is three years preceding the survey.
Total fertility rate (TFR): The number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates currently observed. The reference period is three years preceding the survey.
Survival to age 65 refers to the percentage of a cohort of newborn infants that would survive to age 65, if subject to age specific mortality rates of the specified year.
Survival to age 65 refers to the percentage of a cohort of newborn infants that would survive to age 65, if subject to age specific mortality rates of the specified year.
Wanted fertility rate is an estimate of what the total fertility rate would be if all unwanted births were avoided.
Total wanted fertility rate: Total wanted fertility rate is an estimate what the total fertility rate would be if all unwanted births were avoided. The reference period is three years preceding the survey.
Total wanted fertility rate: Total wanted fertility rate is an estimate what the total fertility rate would be if all unwanted births were avoided. The reference period is three years preceding the survey.
Total wanted fertility rate: Total wanted fertility rate is an estimate what the total fertility rate would be if all unwanted births were avoided. The reference period is three years preceding the survey.
Total wanted fertility rate: Total wanted fertility rate is an estimate what the total fertility rate would be if all unwanted births were avoided. The reference period is three years preceding the survey.
Total wanted fertility rate: Total wanted fertility rate is an estimate what the total fertility rate would be if all unwanted births were avoided. The reference period is three years preceding the survey.
Female headed households shows the percentage of households with a female head.
Women who were first married by age 15 refers to the percentage of women ages 20-24 who were first married by age 15.
Women who were first married by age 18 refers to the percentage of women ages 20-24 who were first married by age 18.
Teenage pregnancy and motherhood: Percentage of women aged 15-19 years who are mothers or pregnant with their first child.
Teenage pregnancy and motherhood: Percentage of women aged 15-19 years who are mothers or pregnant with their first child.
Teenage pregnancy and motherhood: Percentage of women aged 15-19 years who are mothers or pregnant with their first child.
Teenage pregnancy and motherhood: Percentage of women aged 15-19 years who are mothers or pregnant with their first child.
Teenage pregnancy and motherhood: Percentage of women aged 15-19 years who are mothers or pregnant with their first child.
Teenage mothers are the percentage of women ages 15-19 who already have children or are currently pregnant.
Female population between the ages 0 to 4.
Female population between the ages 0 to 4 as a percentage of the total female population.
Male population between the ages 0 to 4.
Male population between the ages 0 to 4 as a percentage of the total male population.
Female population between the ages 0 to 14. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Female population between the ages 0 to 14 as a percentage of the total female population. Population is based on the de facto definition of population.
Male population between the ages 0 to 14. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Male population between the ages 0 to 14 as a percentage of the total male population. Population is based on the de facto definition of population.
Total population between the ages 0 to 14. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Population between the ages 0 to 14 as a percentage of the total population. Population is based on the de facto definition of population.
Population ages 0 to 24 is the percentage of the total population that is in the age group 0 to 24.
Female population between the ages 5 to 9.
Female population between the ages 5 to 9 as a percentage of the total female population.
Male population between the ages 5 to 9.
Male population between the ages 5 to 9 as a percentage of the total male population.
Female population between the ages 10 to 14.
Female population between the ages 10 to 14 as a percentage of the total female population.
Male population between the ages 10 to 14.
Male population between the ages 10 to 14 as a percentage of the total male population.
Female population between the ages 15 to 19.
Female population between the ages 15 to 19 as a percentage of the total female population.
Male population between the ages 15 to 19.
Male population between the ages 15 to 19 as a percentage of the total male population.
Female population between the ages 15 to 64. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Female population between the ages 15 to 64 as a percentage of the total female population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Male population between the ages 15 to 64. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Male population between the ages 15 to 64 as a percentage of the total male population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Total population between the ages 15 to 64. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Total population between the ages 15 to 64 as a percentage of the total population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Female population between the ages 20 to 24.
Female population between the ages 20 to 24 as a percentage of the total female population.
Male population between the ages 20 to 24.
Male population between the ages 20 to 24 as a percentage of the total male population.
Female population between the ages 25 to 29.
Female population between the ages 25 to 29 as a percentage of the total female population.
Male population between the ages 25 to 29.
Male population between the ages 25 to 29 as a percentage of the total male population.
Female population between the ages 30 to 34.
Female population between the ages 30 to 34 as a percentage of the total female population.
Male population between the ages 30 to 34.
Male population between the ages 30 to 34 as a percentage of the total male population.
Female population between the ages 35 to 39.
Female population between the ages 35 to 39 as a percentage of the total female population.
Male population between the ages 35 to 39.
Male population between the ages 35 to 39 as a percentage of the total male population.
Female population between the ages 40 to 44.
Female population between the ages 40 to 44 as a percentage of the total female population.
Male population between the ages 40 to 44.
Male population between the ages 40 to 44 as a percentage of the total male population.
Female population between the ages 45 to 49.
Female population between the ages 45 to 49 as a percentage of the total female population.
Male population between the ages 45 to 49.
Male population between the ages 45 to 49 as a percentage of the total male population.
Female population between the ages 50 to 54.
Female population between the ages 50 to 54 as a percentage of the total female population.
Male population between the ages 50 to 54.
Male population between the ages 50 to 54 as a percentage of the total male population.
Female population between the ages 55 to 59.
Female population between the ages 55 to 59 as a percentage of the total female population.
Male population between the ages 55 to 59.
Male population between the ages 55 to 59 as a percentage of the total male population.
Female population between the ages 60 to 64.
Female population between the ages 60 to 64 as a percentage of the total female population.
Male population between the ages 60 to 64.
Male population between the ages 60 to 64 as a percentage of the total male population.
Female population between the ages 65 to 69.
Female population between the ages 65 to 69 as a percentage of the total female population.
Male population between the ages 65 to 69.
Male population between the ages 65 to 69 as a percentage of the total male population.
Female population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Female population 65 years of age or older as a percentage of the total female population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Male population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Male population 65 years of age or older as a percentage of the total male population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Total population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Population ages 65 and above as a percentage of the total population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Female population between the ages 70 to 74.
Female population between the ages 70 to 74 as a percentage of the total female population.
Male population between the ages 70 to 74.
Male population between the ages 70 to 74 as a percentage of the total male population.
Female population between the ages 75 to 79.
Female population between the ages 75 to 79 as a percentage of the total female population.
Male population between the ages 75 to 79.
Male population between the ages 75 to 79 as a percentage of the total male population.
Female population between the ages 80 and above.
Female population between the ages 80 and above as a percentage of the total female population.
Male population between the ages 80 and above.
Male population between the ages 80 and above as a percentage of the total male population.
Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.
Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.
Sex ratio at birth refers to male births per female births.
Age dependency ratio is the ratio of dependents--people younger than 15 or older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.
Age dependency ratio, old, is the ratio of older dependents--people older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.
Age dependency ratio, young, is the ratio of younger dependents--people younger than 15--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.
Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage . Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
The number of researchers engaged in Research &Development (R&D), expressed as per million. Researchers are professionals who conduct research and improve or develop concepts, theories, models techniques instrumentation, software of operational methods. R&D covers basic research, applied research, and experimental development.
The number of technicians participated in Research & Development (R&D), expressed as per million. Technicians and equivalent staff are people who perform scientific and technical tasks involving the application of concepts and operational methods, normally under the supervision of researchers. R&D covers basic research, applied research, and experimental development.
Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.
Female population is based on the de facto definition of population, which counts all female residents regardless of legal status or citizenship.
Female population is the percentage of the population that is female. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Male population is based on the de facto definition of population, which counts all male residents regardless of legal status or citizenship.
Male population is the percentage of the population that is male. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Population Percentage of total is the share of first level administrative division (Admin 1 level) de facto mid-year population to total population.
Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered.
Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered.
Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered.
Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered.
Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered.
Completeness of death registration is the estimated percentage of deaths that are registered with their cause of death information in the vital registration system of a country.
Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population. Aggregation of urban and rural population may not add up to total population because of different country coverages.
Female rural population is the percentage of females who live in rural areas to total population.
Male rural population is the percentage males who live in rural areas to total population.
Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population.
Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population.
Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects.
Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects. Aggregation of urban and rural population may not add up to total population because of different country coverages.
Female urban population is the percentage of females who live in urban areas to total population.
Urban population refers to people living in urban areas as defined by national statistical offices. The data are collected and smoothed by United Nations Population Division.
Male urban population is the percentage of males who live in urban areas to total population.
Urban Area Refers to a village equivalent administrative area which satisfies certain criteria in terms of population density, percentage of agricultural households, and a number of urban facilities such as roads, formal education facilities, public health services, etc.
Unmet need for family planning: Percentage of currently married women with unmet need for family planning for spacing, for limiting, and the sum of these two (total). Unmet need for spacing includes pregnant women whose pregnancy was mistimed, amenorrheic women who are not using family planning and whose last birth was mistimed, and fecund women who are neither pregnant nor amenorrheic and who are not using any method of family planning and say they want to wait 2 or more years for their next birth. Also included in unmet need for spacing are fecund women who are not using any method of family planning and say they are unsure whether they want another child or who want another child but are unsure when to have the birth unless they say it would not be a problem if they discovered they were pregnant in the next few weeks. Unmet need for limiting refers to pregnant women whose pregnancy was unwanted, amenorrheic women whose last child was unwanted, and fecund women who are neither pregnant nor amenorrheic and who are not using any method of family planning and who want no more children. Excluded from the unmet need category are pregnant and amenorrheic women who became pregnant while using a method (these women are in need of a better method of contraception).
Unmet need for family planning: Percentage of currently married women with unmet need for family planning for spacing, for limiting, and the sum of these two (total). Unmet need for spacing includes pregnant women whose pregnancy was mistimed, amenorrheic women who are not using family planning and whose last birth was mistimed, and fecund women who are neither pregnant nor amenorrheic and who are not using any method of family planning and say they want to wait 2 or more years for their next birth. Also included in unmet need for spacing are fecund women who are not using any method of family planning and say they are unsure whether they want another child or who want another child but are unsure when to have the birth unless they say it would not be a problem if they discovered they were pregnant in the next few weeks. Unmet need for limiting refers to pregnant women whose pregnancy was unwanted, amenorrheic women whose last child was unwanted, and fecund women who are neither pregnant nor amenorrheic and who are not using any method of family planning and who want no more children. Excluded from the unmet need category are pregnant and amenorrheic women who became pregnant while using a method (these women are in need of a better method of contraception).
Unmet need for family planning: Percentage of currently married women with unmet need for family planning for spacing, for limiting, and the sum of these two (total). Unmet need for spacing includes pregnant women whose pregnancy was mistimed, amenorrheic women who are not using family planning and whose last birth was mistimed, and fecund women who are neither pregnant nor amenorrheic and who are not using any method of family planning and say they want to wait 2 or more years for their next birth. Also included in unmet need for spacing are fecund women who are not using any method of family planning and say they are unsure whether they want another child or who want another child but are unsure when to have the birth unless they say it would not be a problem if they discovered they were pregnant in the next few weeks. Unmet need for limiting refers to pregnant women whose pregnancy was unwanted, amenorrheic women whose last child was unwanted, and fecund women who are neither pregnant nor amenorrheic and who are not using any method of family planning and who want no more children. Excluded from the unmet need category are pregnant and amenorrheic women who became pregnant while using a method (these women are in need of a better method of contraception).
Unmet need for family planning: Percentage of currently married women with unmet need for family planning for spacing, for limiting, and the sum of these two (total). Unmet need for spacing includes pregnant women whose pregnancy was mistimed, amenorrheic women who are not using family planning and whose last birth was mistimed, and fecund women who are neither pregnant nor amenorrheic and who are not using any method of family planning and say they want to wait 2 or more years for their next birth. Also included in unmet need for spacing are fecund women who are not using any method of family planning and say they are unsure whether they want another child or who want another child but are unsure when to have the birth unless they say it would not be a problem if they discovered they were pregnant in the next few weeks. Unmet need for limiting refers to pregnant women whose pregnancy was unwanted, amenorrheic women whose last child was unwanted, and fecund women who are neither pregnant nor amenorrheic and who are not using any method of family planning and who want no more children. Excluded from the unmet need category are pregnant and amenorrheic women who became pregnant while using a method (these women are in need of a better method of contraception).
Unmet need for family planning: Percentage of currently married women with unmet need for family planning for spacing, for limiting, and the sum of these two (total). Unmet need for spacing includes pregnant women whose pregnancy was mistimed, amenorrheic women who are not using family planning and whose last birth was mistimed, and fecund women who are neither pregnant nor amenorrheic and who are not using any method of family planning and say they want to wait 2 or more years for their next birth. Also included in unmet need for spacing are fecund women who are not using any method of family planning and say they are unsure whether they want another child or who want another child but are unsure when to have the birth unless they say it would not be a problem if they discovered they were pregnant in the next few weeks. Unmet need for limiting refers to pregnant women whose pregnancy was unwanted, amenorrheic women whose last child was unwanted, and fecund women who are neither pregnant nor amenorrheic and who are not using any method of family planning and who want no more children. Excluded from the unmet need category are pregnant and amenorrheic women who became pregnant while using a method (these women are in need of a better method of contraception).
Unmet need for family planning: Percentage of currently married women with unmet need for family planning for spacing, for limiting, and the sum of these two (total). Unmet need for spacing includes pregnant women whose pregnancy was mistimed, amenorrheic women who are not using family planning and whose last birth was mistimed, and fecund women who are neither pregnant nor amenorrheic and who are not using any method of family planning and say they want to wait 2 or more years for their next birth. Also included in unmet need for spacing are fecund women who are not using any method of family planning and say they are unsure whether they want another child or who want another child but are unsure when to have the birth unless they say it would not be a problem if they discovered they were pregnant in the next few weeks. Unmet need for limiting refers to pregnant women whose pregnancy was unwanted, amenorrheic women whose last child was unwanted, and fecund women who are neither pregnant nor amenorrheic and who are not using any method of family planning and who want no more children. Excluded from the unmet need category are pregnant and amenorrheic women who became pregnant while using a method (these women are in need of a better method of contraception).
Unmet need for family planning: Percentage of currently married women with unmet need for family planning for spacing, for limiting, and the sum of these two (total). Unmet need for spacing includes pregnant women whose pregnancy was mistimed, amenorrheic women who are not using family planning and whose last birth was mistimed, and fecund women who are neither pregnant nor amenorrheic and who are not using any method of family planning and say they want to wait 2 or more years for their next birth. Also included in unmet need for spacing are fecund women who are not using any method of family planning and say they are unsure whether they want another child or who want another child but are unsure when to have the birth unless they say it would not be a problem if they discovered they were pregnant in the next few weeks. Unmet need for limiting refers to pregnant women whose pregnancy was unwanted, amenorrheic women whose last child was unwanted, and fecund women who are neither pregnant nor amenorrheic and who are not using any method of family planning and who want no more children. Excluded from the unmet need category are pregnant and amenorrheic women who became pregnant while using a method (these women are in need of a better method of contraception).
Unmet need for family planning: Percentage of currently married women with unmet need for family planning for spacing, for limiting, and the sum of these two (total). Unmet need for spacing includes pregnant women whose pregnancy was mistimed, amenorrheic women who are not using family planning and whose last birth was mistimed, and fecund women who are neither pregnant nor amenorrheic and who are not using any method of family planning and say they want to wait 2 or more years for their next birth. Also included in unmet need for spacing are fecund women who are not using any method of family planning and say they are unsure whether they want another child or who want another child but are unsure when to have the birth unless they say it would not be a problem if they discovered they were pregnant in the next few weeks. Unmet need for limiting refers to pregnant women whose pregnancy was unwanted, amenorrheic women whose last child was unwanted, and fecund women who are neither pregnant nor amenorrheic and who are not using any method of family planning and who want no more children. Excluded from the unmet need category are pregnant and amenorrheic women who became pregnant while using a method (these women are in need of a better method of contraception).
Unmet need for family planning: Percentage of currently married women with unmet need for family planning for spacing, for limiting, and the sum of these two (total). Unmet need for spacing includes pregnant women whose pregnancy was mistimed, amenorrheic women who are not using family planning and whose last birth was mistimed, and fecund women who are neither pregnant nor amenorrheic and who are not using any method of family planning and say they want to wait 2 or more years for their next birth. Also included in unmet need for spacing are fecund women who are not using any method of family planning and say they are unsure whether they want another child or who want another child but are unsure when to have the birth unless they say it would not be a problem if they discovered they were pregnant in the next few weeks. Unmet need for limiting refers to pregnant women whose pregnancy was unwanted, amenorrheic women whose last child was unwanted, and fecund women who are neither pregnant nor amenorrheic and who are not using any method of family planning and who want no more children. Excluded from the unmet need category are pregnant and amenorrheic women who became pregnant while using a method (these women are in need of a better method of contraception).
Unmet need for family planning: Percentage of currently married women with unmet need for family planning for spacing, for limiting, and the sum of these two (total). Unmet need for spacing includes pregnant women whose pregnancy was mistimed, amenorrheic women who are not using family planning and whose last birth was mistimed, and fecund women who are neither pregnant nor amenorrheic and who are not using any method of family planning and say they want to wait 2 or more years for their next birth. Also included in unmet need for spacing are fecund women who are not using any method of family planning and say they are unsure whether they want another child or who want another child but are unsure when to have the birth unless they say it would not be a problem if they discovered they were pregnant in the next few weeks. Unmet need for limiting refers to pregnant women whose pregnancy was unwanted, amenorrheic women whose last child was unwanted, and fecund women who are neither pregnant nor amenorrheic and who are not using any method of family planning and who want no more children. Excluded from the unmet need category are pregnant and amenorrheic women who became pregnant while using a method (these women are in need of a better method of contraception).
Unmet need for contraception is the percentage of fertile, married women of reproductive age who do not want to become pregnant and are not using contraception.
Unmet need for family planning: Percentage of currently married women with unmet need for family planning for spacing, for limiting, and the sum of these two (total). Unmet need for spacing includes pregnant women whose pregnancy was mistimed, amenorrheic women who are not using family planning and whose last birth was mistimed, and fecund women who are neither pregnant nor amenorrheic and who are not using any method of family planning and say they want to wait 2 or more years for their next birth. Also included in unmet need for spacing are fecund women who are not using any method of family planning and say they are unsure whether they want another child or who want another child but are unsure when to have the birth unless they say it would not be a problem if they discovered they were pregnant in the next few weeks. Unmet need for limiting refers to pregnant women whose pregnancy was unwanted, amenorrheic women whose last child was unwanted, and fecund women who are neither pregnant nor amenorrheic and who are not using any method of family planning and who want no more children. Excluded from the unmet need category are pregnant and amenorrheic women who became pregnant while using a method (these women are in need of a better method of contraception).
Unmet need for family planning: Percentage of currently married women with unmet need for family planning for spacing, for limiting, and the sum of these two (total). Unmet need for spacing includes pregnant women whose pregnancy was mistimed, amenorrheic women who are not using family planning and whose last birth was mistimed, and fecund women who are neither pregnant nor amenorrheic and who are not using any method of family planning and say they want to wait 2 or more years for their next birth. Also included in unmet need for spacing are fecund women who are not using any method of family planning and say they are unsure whether they want another child or who want another child but are unsure when to have the birth unless they say it would not be a problem if they discovered they were pregnant in the next few weeks. Unmet need for limiting refers to pregnant women whose pregnancy was unwanted, amenorrheic women whose last child was unwanted, and fecund women who are neither pregnant nor amenorrheic and who are not using any method of family planning and who want no more children. Excluded from the unmet need category are pregnant and amenorrheic women who became pregnant while using a method (these women are in need of a better method of contraception).
Unmet need for family planning: Percentage of currently married women with unmet need for family planning for spacing, for limiting, and the sum of these two (total). Unmet need for spacing includes pregnant women whose pregnancy was mistimed, amenorrheic women who are not using family planning and whose last birth was mistimed, and fecund women who are neither pregnant nor amenorrheic and who are not using any method of family planning and say they want to wait 2 or more years for their next birth. Also included in unmet need for spacing are fecund women who are not using any method of family planning and say they are unsure whether they want another child or who want another child but are unsure when to have the birth unless they say it would not be a problem if they discovered they were pregnant in the next few weeks. Unmet need for limiting refers to pregnant women whose pregnancy was unwanted, amenorrheic women whose last child was unwanted, and fecund women who are neither pregnant nor amenorrheic and who are not using any method of family planning and who want no more children. Excluded from the unmet need category are pregnant and amenorrheic women who became pregnant while using a method (these women are in need of a better method of contraception).
Unmet need for family planning: Percentage of currently married women with unmet need for family planning for spacing, for limiting, and the sum of these two (total). Unmet need for spacing includes pregnant women whose pregnancy was mistimed, amenorrheic women who are not using family planning and whose last birth was mistimed, and fecund women who are neither pregnant nor amenorrheic and who are not using any method of family planning and say they want to wait 2 or more years for their next birth. Also included in unmet need for spacing are fecund women who are not using any method of family planning and say they are unsure whether they want another child or who want another child but are unsure when to have the birth unless they say it would not be a problem if they discovered they were pregnant in the next few weeks. Unmet need for limiting refers to pregnant women whose pregnancy was unwanted, amenorrheic women whose last child was unwanted, and fecund women who are neither pregnant nor amenorrheic and who are not using any method of family planning and who want no more children. Excluded from the unmet need category are pregnant and amenorrheic women who became pregnant while using a method (these women are in need of a better method of contraception).
Unmet need for family planning: Percentage of currently married women with unmet need for family planning for spacing, for limiting, and the sum of these two (total). Unmet need for spacing includes pregnant women whose pregnancy was mistimed, amenorrheic women who are not using family planning and whose last birth was mistimed, and fecund women who are neither pregnant nor amenorrheic and who are not using any method of family planning and say they want to wait 2 or more years for their next birth. Also included in unmet need for spacing are fecund women who are not using any method of family planning and say they are unsure whether they want another child or who want another child but are unsure when to have the birth unless they say it would not be a problem if they discovered they were pregnant in the next few weeks. Unmet need for limiting refers to pregnant women whose pregnancy was unwanted, amenorrheic women whose last child was unwanted, and fecund women who are neither pregnant nor amenorrheic and who are not using any method of family planning and who want no more children. Excluded from the unmet need category are pregnant and amenorrheic women who became pregnant while using a method (these women are in need of a better method of contraception).
Child Mortality Metadata from UN IGME
Debt Reporting Metadata from World Bank
Labor force participation data for use by ILO
Comparability data from World Bank's Povcalnet
Availability of Safely Managed Drinking Water data for use by JMP
The Special Data Dissemination Standard (SDDS) and electronic General Data Dissemination Standard (e-GDDS) were established by the International Monetary Fund (IMF) for member countries that have or that might seek access to international capital markets, to guide them in providing their economic and financial data to the public.  Although subscription is voluntary, the subscribing member needs to be committed to observing the standard and provide information about its data and data dissemination practices (metadata).  The metadata are posted on the IMF’s SDDS and e-GDDS websites.
This openness element measures whether download options are available. ODIN looks for three download options: (1) bulk download (at the indicator level), (2) API, and (3) user-select download (custom downloads). Options 2 and 3 are interchangeable for scoring purposes.
This openness element measures whether data are made available in machine readable formats. Machine readable file formats allow users to easily process data using a computer. Common machine readable formats include XLS, XLSX, CSV, and JSON files.
This openness element measures whether metadata are available for the published indicators. Metadata must be located in or near the data file or on a designated metadata section of the website. ODIN looks for three aspects of metadata: (1) definition of indicator; (2) date of upload; and (3) Source agency.
This openness element measures whether data are made available in nonproprietary formats. Nonproprietary file formats are important because they allow users to access data without requiring the use of a costly, proprietary software that may prevent some users from accessing the data. Common nonproprietary formats include PDF, HTML, XLSX, DOCX, CSV, and JSON files.
ODW Openness score
This openness element measures whether data are made available under an open license. Open licenses must allow the use, reuse, and sharing or adaption of data for commercial and noncommercial use without any obligation other than attribution, per the Open Definition. Licenses prohibiting commercial use or having two or more additional stipulations are classified as “Not Open”. Licenses with no more than one additional stipulation are classified as “Some Restrictions.” Licenses that do not explicitly state all allowed uses under the Open Definition and do not include restrictive language are also classified as “Some Restrictions.”
NADA/NSO websites.  Statistical systems must be open and transparent about their methods and procedures and provide access to adequate metadata – detailed descriptions of the methods and procedures used to produce the data.
SDG Goal 1 data availability.  Source: UN Global SDG Indicators Database
SDG Goal 10 data availability.  Source: UN Global SDG Indicators Database
SDG Goal 11 data availability.  Source: UN Global SDG Indicators Database
SDG Goal 12 data availability.  Source: UN Global SDG Indicators Database
SDG Goal 13 data availability.  Source: UN Global SDG Indicators Database
SDG Goal 15 data availability.  Source: UN Global SDG Indicators Database
SDG Goal 16 data availability.  Source: UN Global SDG Indicators Database
SDG Goal 17 data availability.  Source: UN Global SDG Indicators Database
SDG Goal 2 data availability.  Source: UN Global SDG Indicators Database
SDG Goal 3 data availability.  Source: UN Global SDG Indicators Database
SDG Goal 4 data availability.  Source: UN Global SDG Indicators Database
SDG Goal 5 data availability.  Source: UN Global SDG Indicators Database
SDG Goal 6 data availability.  Source: UN Global SDG Indicators Database
SDG Goal 7 data availability.  Source: UN Global SDG Indicators Database
SDG Goal 8 data availability.  Source: UN Global SDG Indicators Database
SDG Goal 9 data availability.  Source: UN Global SDG Indicators Database
Population censuses collect data on the size, distribution and composition of population and information on a broad range of social and economic characteristics of the population.  It also provides sampling frames for household and other surveys.  Housing censuses provide information on the supply of housing units, the structural characteristics and facilities, and health and the development of normal family living conditions.  Data obtained as part of the population census, including data on homeless persons, are often used in the presentation and analysis of the results of the housing census.  It is recommended that population and housing censuses be conducted at least every 10 years.
Agriculture censuses collect information on agricultural activities, such as size of holding, land tenure, land use, employment and production, and provide basic structural data and sampling frames for agricultural surveys.  Censuses of agriculture normally involves collecting key structural data by complete enumeration of all agricultural holdings, in combination with more detailed structural data using sampling methods.  It is recommended that agricultural censuses be conducted at least every 10 years.
Business/establishment censuses provide valuable information on all economic activities, number of employed and size of establishments in the economy.  Business Register information is establishment-based and includes business location, organization type (e.g. subsidiary or parent), industry classification, and operating data (e.g., receipts and employment).
These surveys collect data on household income (including income in kind), consumption and expenditure.  They typically include income, expenditure, and consumption surveys, household budget surveys, integrated surveys.  It is recommended that surveys on income and expenditure be conducted at least every 3 to 5 years.
Agricultural surveys refer to surveys of agricultural holdings based on the sampling frames established by the agricultural census.  These are surveys on agricultural land, production, crops and livestock, aquaculture, labor and cost, and time use.  Some issues, such as gender and food security, are of interest to most agriculture surveys.
Labor force survey is a standard household-based survey of work-related statistics at the national and sub-national employment or unemployment levels, rates or trends.  The surveys also provide the characteristics of the employed or unemployed, including labor force status by age or gender, breakdowns between employees and the self-employed, public versus private sector employment, multiple job-holding, hiring, job creation, and duration of unemployment.
Health surveys collect information on various aspects of health of populations, such as health expenditure, access, utilization, and outcomes.  They typically include Demographic and Health Surveys.  It is recommended that health surveys be conducted at least every 3 to 5 years.
The business/establishment survey provides information on employment, hours, and earnings of employees from a sample of business establishments including private and public, entities that are classified based on an establishment's principal activity from the business or establishment census.  Establishment surveys include surveys of businesses, farms, and institutions.  They may ask for information about the establishment itself and/or employee characteristics and demographics.
Civil Registration and Vital Statistics (CRVS) complete
Indicator data availability at sub-national levels
Based on PARIS21 indicators on SDG 17.18.2 (national statistical legislation compliance with UN Fundamental Principles of Official Statistics), existence of National Statistical Council, national statistical strategy generation, national statistical plan. Also include some other legislative aspects that foster good use of statistics eg freedom of information, privacy/transparency, good governance (eg free and fair elections).
The national accounts data are compiled using the concepts, definitions, framework, and methodology of the System of National Account 2008 (SNA2008) or European System of National and Regional Accounts (ESA 2010).  The manual has evolved to meet the changing economic structure, to follow systematic accounting and ensure international compatibility.
The Generic Statistical Business Process Model (GSBPM) aims to describe statistics production in a general and process-oriented way.  It is used both within and between statistical offices as a common basis for work with statistics production in different ways, such as quality, efficiency, standardization, and process-orientation.  It is used for all types of surveys, and "business" is not related to "business statistics" but refers to the statistical office, simply expressed.
National accounts base year is the year used as the base period for constant price calculations in the country’s national accounts.  It is recommended that the base year of constant price estimates be changed periodically to reflect changes in economic structure and relative prices.
The industrial production data are compiled using the International Standard Industrial Classification of All Economic Activities (ISIC) Rev.4 and Statistical Classification of Economic Activities in the European Community (NACE) Rev.2.  ISIC Rev.4 is a standard classification of economic activities arranged so that entities can be classified per the activity they carry out using criteria such as input, output and use of the products produced, more emphasis has been given to the character of the production process in defining and delineating ISIC classes for international comparability.  The manual and classification have changed to cover the complete scope of industrial production, employment, and GDP and other statistical areas.
Consumer Price Index serves as indicators of inflation and reflects changes in the cost of acquiring a fixed basket of goods and services by the average consumer.  Weights are usually derived from consumer expenditure surveys and the CPI base year refers to the year the weights were derived.  It is recommended that the base year be changed periodically to reflect changes in expenditure structure.
Classification of Individual Consumption According to Purpose (COICOP) is used in household budget surveys, consumer price indices and international comparisons of gross domestic product (GDP) and its component expenditures.  Although COICOP is not strictly linked to any particular model of consumer behavior, the classification is designed to broadly reflect differences in income elasticities.  It is an integral part of the SNA1993 and more detailed subdivision of the classes provide comparability between countries and between statistics in these different areas.
Classification of status of employment refers to employment data that are compiled using the current international standard International Classification of Status in Employment (ISCE-93).  It classifies jobs with respect to the type of explicit or implicit contract of employment between the job holder and the economic unit in which he or she is employed.  Therefore, it aims to provide the basis for production of internationally comparable statistics on the employment relationship, including the distinction between salaried employment and self-employment.
Government finance accounting status refers to the accounting basis for reporting central government financial data.  For many countries’ government finance data, have been consolidated into one set of accounts capturing all the central government’s fiscal activities and following noncash recording basis.  Budgetary central government accounts do not necessarily include all central government units, the picture they provide of central government activities is usually incomplete.
Compilation of government finance statistics refers to the Government Finance Statistics Manual (GFSM) in use for compiling the data.  It provides guidelines on the institutional structure of governments and the presentation of fiscal data in a format similar to business accounting with a balance sheet and income statement plus guidelines on the treatment of exchange rate and other valuation adjustments.  The latest manual GFSM2014 is harmonized with the SNA2008.
Compilation of monetary and financial statistics refers to the Monetary and Financial Statistics Manual (MFSM) in use.  It covers concepts, definitions, classifications of financial instruments and sectors, and accounting rules, and provides a comprehensive analytic framework for monetary and financial planning and policy determination.  The Monetary and Finance Statistics: Compilation Guide (2008) provides detailed guidelines for the compilation of monetary and financial statistics in addition to MFSM.
Indicator based on PARIS21 SDG indicators (SDG 17.18.3 (national statistical plan that is fully funded and under implementation) and SDG 17.19.1 (value of resources made available to strengthen statistical capacity)). Could also incorporate indicator of NSO budget as a percentage of GDP.
Five measures usefulness or reliability of country produced measures for international organizations. First, on comparability of poverty estimates for the World Bank reporting on international poverty (Source: Povcalnet). Second on usable surveys for statistics on child mortality for the UN Inter-agency Group for Child Mortality Estimation (Source: https://childmortality.org/). Third on accuracy of debt reporting as classified by the World Bank (Source: World Bank WDI metadata).  Fourth, on availability of safely managed drinking water data for use by JMP.  Fifth, on labor force participation data for use by ILO. We recognize that these data sources provide only partial coverage but consider that they do at least provide some indication of the performance of the national statistical system. With more complete data sources it would be possible to assess this further
SDDS/e-GDDS subscription. This indicator is based on whether the country subscribes to IMF SDDS+, SDDS, or e-GDDS standards.  The source is the IMF Dissemination Standards Bulletin Board.  This is a good data source but we recognize that it is a proxy for the concept we are seeking to capture rather than a direct measurement.
ODIN Open Data Openness score.  This is a well-established data source with good country coverage. In using this indicator, it is important to describe carefully what is captured since the purpose of ODIN is different to the purpose of the SPI.
NADA metadata.  This indicator checks whether NADA microdata cataloging is available for surveys produced by NSO.  NADA is an open source microdata cataloging system, compliant with the Data Documentation Initiative (DDI) and Dublin Cores RDF metadata standards.  Source: NSO websites.
Average score for Goal 1-6 indicators. The primary data source is the UN SDG database. Whilst this is a database with comprehensive coverage that all countries have signed up to, it is clear that many (particularly developed countries) are not yet submitting their available national data. Scores for these countries are likely to represent an indicator of their willingness to submit national data rather than their performance in calculating the indicators.  For OECD countries, we supplement the UN SDG database with comparable data submitted to the OECD following the methodology in Measuring Distance to the SDG Targets 2019: An Assessment of Where OECD Countries Stand (https://www.oecd.org/sdd/measuring-distance-to-the-sdg-targets-2019-a8caf3fa-en.htm).
Average score for Goal 7-12 indicators. See 3.1.
Average score for Goal 13-15 indicators. See 3.1.
Average score for Goal 16-17 indicators. See 3.1.
Average score Census and Survey Indicators indicators. Availability of recent censuses and surveys covering broad areas.  The following censuses and surveys are considered: Population & Housing census, Agriculture census, Business/establishment census, Household Survey on income/ consumption/ expenditure/ budget/ Integrated Survey, Agriculture survey, Labor Force Survey, Health/Demographic survey, Business/establishment survey. Source: NSO websites, World Bank microdata library, ILO microdata library, IHSN microdata librar
Average score Census and Survey Indicators indicators. Availability of recent censuses and surveys covering broad areas.  The following censuses and surveys are considered: Population & Housing census, Agriculture census, Business/establishment census, Household Survey on income/ consumption/ expenditure/ budget/ Integrated Survey, Agriculture survey, Labor Force Survey, Health/Demographic survey, Business/establishment survey. Source: NSO websites, World Bank microdata library, ILO microdata library, IHSN microdata librar
Average score for CRVS indicator.  An ideal indicator would include a score based on the density of administrative data available in sectors of social protection, education, labor, and health.  However, social protection, education, health, and labor admin data indicators not included because of lack of established methodology. While our team identified several promising sources for administrative data from the World Bank's ASPIRE team, WHO, UNESCO, and ILO, incomplete coverage across countries made us drop these indicators from our index.  A major research and data collection effort is needed from all custodian agencies  to fill in this information, so that a more comprehensive picture of administrative data availability can be produced.
Geospatial data available at 1st Admin Level.  We recognize that this data source provides only limited coverage but consider that it does at least provide some indication of the ability of the national statistical system to produce geospatial data. A major research and data collection effort is needed via GGIM to fill in this information, so that a more comprehensive picture of geospatial data capability at the national level can be produced. Until this is done, it we cannot even assess the scale of the data gaps in a comparable way.
Included in dashboard, but not index because of insufficient country coverage.  This indicator is based on PARIS21 indicators on SDG 17.18.2 (national statistical legislation compliance with UN Fundamental Principles of Official Statistics), existence of National Statistical Council, national statistical strategy generation, national statistical plan. Limited country coverage makes cross country comparison limited.  A global database of statistical and data legislation and governance practice would be a valuable resource for capacity building in general not just for the SPI.
Average score for Standards and Methods indicators. Internationally accepted and recommended methodology, classifications and standards provide the basis for national statistical offices (NSOs) on data integration, facilitating data exchange and providing the foundation for the preparation of relevant statistical indicators.  The following methods and standards are considered:  System of national accounts in use, National Accounts base year, Classification of national industry, CPI base year, Classification of household consumption, Classification of status of employment, Central government accounting status, Compilation of government finance statistics, Compilation of monetary and financial statistics, Business process.  . Further work could improve the validity of this indicator and reduce the risk that countries may be incentivized to adopt only traditional standards and methods and neglect innovative solutions that may be more valid in the current context.
Included in dashboard, but not index because of insufficient country coverage and concerns that the indicator has biases that would lead to misleading incentives.  The indicator is based on PARIS21 SDG indicators (SDG 17.18.3 (national statistical plan that is fully funded and under implementation).
Overall Statistical Performance Indicators Index Score
Indicators that capture demand side of statistical system
Information on data releases, online access, and other data services
Whether the country is able to produce relevant indicators, primarily related to SDGs
Censuses and surveys, admin data, geospatial
Standards and methodology used in classification
Water supply failure for firms receiving water is the average number of days per year that firms experienced insufficient water supply for production.
International inbound tourists (overnight visitors) are the number of tourists who travel to a country other than that in which they have their usual residence, but outside their usual environment, for a period not exceeding 12 months and whose main purpose in visiting is other than an activity remunerated from within the country visited. When data on number of tourists are not available, the number of visitors, which includes tourists, same-day visitors, cruise passengers, and crew members, is shown instead. Sources and collection methods for arrivals differ across countries. In some cases data are from border statistics (police, immigration, and the like) and supplemented by border surveys. In other cases data are from tourism accommodation establishments. For some countries number of arrivals is limited to arrivals by air and for others to arrivals staying in hotels. Some countries include arrivals of nationals residing abroad while others do not. Caution should thus be used in comparing arrivals across countries. The data on inbound tourists refer to the number of arrivals, not to the number of people traveling. Thus a person who makes several trips to a country during a given period is counted each time as a new arrival.
International outbound tourists are the number of departures that people make from their country of usual residence to any other country for any purpose other than a remunerated activity in the country visited. The data on outbound tourists refer to the number of departures, not to the number of people traveling. Thus a person who makes several trips from a country during a given period is counted each time as a new departure.
International tourism receipts are expenditures by international inbound visitors, including payments to national carriers for international transport. These receipts include any other prepayment made for goods or services received in the destination country. They also may include receipts from same-day visitors, except when these are important enough to justify separate classification. For some countries they do not include receipts for passenger transport items. Data are in current U.S. dollars.
International tourism receipts are expenditures by international inbound visitors, including payments to national carriers for international transport. These receipts include any other prepayment made for goods or services received in the destination country. They also may include receipts from same-day visitors, except when these are important enough to justify separate classification. For some countries they do not include receipts for passenger transport items. Their share in exports is calculated as a ratio to exports of goods and services, which comprise all transactions between residents of a country and the rest of the world involving a change of ownership from residents to nonresidents of general merchandise, goods sent for processing and repairs, nonmonetary gold, and services.
International tourism receipts for passenger transport items are expenditures by international inbound visitors for all services provided in the international transportation by resident carriers. Also included are passenger services performed within an economy by nonresident carriers. Excluded are passenger services provided to nonresidents by resident carriers within the resident economies; these are included in travel items. In addition to the services covered by passenger fares--including fares that are a part of package tours but excluding cruise fares, which are included in travel--passenger services include such items as charges for excess baggage, vehicles, or other personal accompanying effects and expenditures for food, drink, or other items for which passengers make expenditures while on board carriers. Data are in current U.S. dollars.
International tourism expenditures for passenger transport items are expenditures of international outbound visitors in other countries for all services provided during international transportation by nonresident carriers. Also included are passenger services performed within an economy by nonresident carriers. Excluded are passenger services provided to nonresidents by resident carriers within the resident economies; these are included in travel items. In addition to the services covered by passenger fares--including fares that are a part of package tours but excluding cruise fares, which are included in travel--passenger services include such items as charges for excess baggage, vehicles, or other personal accompanying effects and expenditures for food, drink, or other items for which passengers make expenditures while on board carriers. Data are in current U.S. dollars.
International tourism receipts for travel items are expenditures by international inbound visitors in the reporting economy. The goods and services are purchased by, or on behalf of, the traveler or provided, without a quid pro quo, for the traveler to use or give away. These receipts should include any other prepayment made for goods or services received in the destination country. They also may include receipts from same-day visitors, except in cases where these are so important as to justify a separate classification. Excluded is the international carriage of travelers, which is covered in passenger travel items. Data are in current U.S. dollars.
International tourism expenditures are expenditures of international outbound visitors in other countries. The goods and services are purchased by, or on behalf of, the traveler or provided, without a quid pro quo, for the traveler to use or give away. These may include expenditures by residents traveling abroad as same-day visitors, except in cases where these are so important as to justify a separate classification. Excluded is the international carriage of travelers, which is covered in passenger travel items. Data are in current U.S. dollars.
International tourism expenditures are expenditures of international outbound visitors in other countries, including payments to foreign carriers for international transport. These expenditures may include those by residents traveling abroad as same-day visitors, except in cases where these are important enough to justify separate classification. For some countries they do not include expenditures for passenger transport items. Data are in current U.S. dollars.
International tourism expenditures are expenditures of international outbound visitors in other countries, including payments to foreign carriers for international transport. These expenditures may include those by residents traveling abroad as same-day visitors, except in cases where these are important enough to justify separate classification. For some countries they do not include expenditures for passenger transport items. Their share in imports is calculated as a ratio to imports of goods and services, which comprise all transactions between residents of a country and the rest of the world involving a change of ownership from nonresidents to residents of general merchandise, goods sent for processing and repairs, nonmonetary gold, and services.
Merchandise trade as a share of GDP is the sum of merchandise exports and imports divided by the value of GDP, all in current U.S. dollars.
Number of products (at SITC, Revision 3, 3-digit group level) imported by country or country grouping; this figure includes only those products that are greater than 100,000 dollars or more than 0.3 per cent of the country’s or country group’s total imports.  The maximum number of products is 261.
This indicator reflects the Herfindahl-Hirschmann index measure of the degree of import concentration within a country.  The sectoral Hirschmann index is defined as the square root of the sum of the squared shares of exports of each industry in total exports for the region under study.  Takes a value between 0 and 1, with 1 indicating that only a single product is exported.  Higher values indicate that imports are concentrated in fewer sectors.  On the contrary, values closer to 0 reflect a more equal distribution of market shares among importers.  Note that this type of concentration indicator tends to be quite vulnerable to cyclical fluctuations in relative-prices, in a way that commodity price rises make commodity importers look more concentrated.
The diversification index signals whether the structure of imports by product of a given country or group of countries differ from the structure of product of the world.  Diversification index that ranges from 0 to 1 reveals the extent of the differences between the structure of trade of the country or country group and the world average. The index value closer to 1 indicates a bigger difference from the world average. It is constructed as the inverse of a Herfindahl index, using disaggregated exports at 4 digits (following the STIC3).  This index is a modified Finger-Kreinin measure of similarity in trade. For more information, please consult the article of Finger, J. M. and M. E. Kreinin (1979), “A measure of ‘export similarity’ and its possible uses” in the Economic Journal , 89: 905-12.
This indicator measures the extent of General Agreement on Trade in Services (GATS) commitments for all 155 services sub-sectors as classified by the GATS and in the four modes of the GATS. Each entry in the country’s schedule is assigned scores based on its relative restrictiveness, using a criteria set out by Bernard Hoekman’s methodology.  That resulted in 1,240 scores, ranging from 0 (unbound or no commitments) to 100 (completely liberalized), with an intermediate value of 50 for partial commitments. A simple average of the subsectoral scores were used to generate aggregate sectoral scores (for the 12 main services sectors as classified by the GATS), modes scores, and market access and national treatment scores. The overall 12 GATS commitment index is a simple average of the sectoral indices.  Disaggregated indices are available for Market Access and National Treatment and for twelve subsectors: business services, communication services, construction and engineering services, distribution services, educational services, environmental services, financial services, health services, tourism services, recreational and cultural services, transport services, and other services.
It is the proportion of duty free imports (excluding arms) into developed countries from developing and least developed countries. For the purpose of calculating this indicator, Japan in Asia, Canada and the United States in North America, Australia and New Zealand in Oceania and Iceland, Norway, Switzerland and the EU (25 countries included since 2004) in Europe are considered “developed” regions or areas, following the common accepted practice used for MDG indicators. Developing countries are those not listed as developed or transition countries. The list of least developed countries (LDCs) has been agreed by the General Assembly, on the recommendation of the Committee for Development Policy, Economic and Social Council.
It is the proportion of duty free imports (excluding arms) into developed countries from developing and least developed countries. For the purpose of calculating this indicator, Japan in Asia, Canada and the United States in North America, Australia and New Zealand in Oceania and Iceland, Norway, Switzerland and the EU (25 countries included since 2004) in Europe are considered “developed” regions or areas, following the common accepted practice used for MDG indicators. Developing countries are those not listed as developed or transition countries. The list of least developed countries (LDCs) has been agreed by the General Assembly, on the recommendation of the Committee for Development Policy, Economic and Social Council.
Total merchandise imports  price index with 1987=100.
Measuring changes in the aggregate price level of a country's non-factor services imports c.i.f. over time with 1987 price index=100.
Petroleum and other energy products imports  volume index with 1987=100.
Total food imports  volume index with 1987=100.
Capital goods imports  volume index with 1987=100.
Total merchandise imports  volume index with 1987=100.
Import volume indexes are derived from UNCTAD's volume index series and are the ratio of the import value indexes to the corresponding unit value indexes. Unit value indexes are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD's estimates using the previous year's trade values at the Standard International Trade Classification three-digit level as weights.
Other consumer goods imports  volume index with 1987=100.
Imports of (non-factor) services. Data; Volume index with 1987=100.
Manufacture goods imports  volume index with 1987=100.
Primary goods imports  volume index with 1987=100.
Intermediate goods imports  volume index with 1987=100.
It is the average tariffs imposed by developed countries on subsets of selected items (agricultural products, textile and clothing exports) that are deemed to be of interest to developing countries. For the purpose of calculating this indicator, Japan in Asia, Canada and the United States in North America, Australia and New Zealand in Oceania and Iceland, Norway, Switzerland and the EU (25 countries included since 2004) in Europe are considered “developed” regions or areas, following the common accepted practice used for MDG indicators. Developing countries are those not listed as developed or transition countries. The list of least developed countries (LDCs) has been agreed by the General Assembly, on the recommendation of the Committee for Development Policy, Economic and Social Council. Agricultural, clothing and textile groups follow the definition in WTO agreements based on the Harmonized System 1992, transposed to current versions by WTO Secretariat. Agricultural products correspond to Harmonized System 1992, chapters 01 to 24 less fish and fish products (chap. 03); in addition to parts of chapters 29, 33, 35, 38, 41, 43, 50 to 53. Textile is mainly covered in chapters 50 to 60. The bulk of clothing products are found in chapters 61-63.
It is the average tariffs imposed by developed countries on subsets of selected items (agricultural products, textile and clothing exports) that are deemed to be of interest to developing countries. For the purpose of calculating this indicator, Japan in Asia, Canada and the United States in North America, Australia and New Zealand in Oceania and Iceland, Norway, Switzerland and the EU (25 countries included since 2004) in Europe are considered “developed” regions or areas, following the common accepted practice used for MDG indicators. Developing countries are those not listed as developed or transition countries. The list of least developed countries (LDCs) has been agreed by the General Assembly, on the recommendation of the Committee for Development Policy, Economic and Social Council. Agricultural, clothing and textile groups follow the definition in WTO agreements based on the Harmonized System 1992, transposed to current versions by WTO Secretariat. Agricultural products correspond to Harmonized System 1992, chapters 01 to 24 less fish and fish products (chap. 03); in addition to parts of chapters 29, 33, 35, 38, 41, 43, 50 to 53. Textile is mainly covered in chapters 50 to 60. The bulk of clothing products are found in chapters 61-63.
It is the average tariffs imposed by developed countries on subsets of selected items (agricultural products, textile and clothing exports) that are deemed to be of interest to developing countries. For the purpose of calculating this indicator, Japan in Asia, Canada and the United States in North America, Australia and New Zealand in Oceania and Iceland, Norway, Switzerland and the EU (25 countries included since 2004) in Europe are considered “developed” regions or areas, following the common accepted practice used for MDG indicators. Developing countries are those not listed as developed or transition countries. The list of least developed countries (LDCs) has been agreed by the General Assembly, on the recommendation of the Committee for Development Policy, Economic and Social Council. Agricultural, clothing and textile groups follow the definition in WTO agreements based on the Harmonized System 1992, transposed to current versions by WTO Secretariat. Agricultural products correspond to Harmonized System 1992, chapters 01 to 24 less fish and fish products (chap. 03); in addition to parts of chapters 29, 33, 35, 38, 41, 43, 50 to 53. Textile is mainly covered in chapters 50 to 60. The bulk of clothing products are found in chapters 61-63.
It is the average tariffs imposed by developed countries on subsets of selected items (agricultural products, textile and clothing exports) that are deemed to be of interest to developing countries. For the purpose of calculating this indicator, Japan in Asia, Canada and the United States in North America, Australia and New Zealand in Oceania and Iceland, Norway, Switzerland and the EU (25 countries included since 2004) in Europe are considered “developed” regions or areas, following the common accepted practice used for MDG indicators. Developing countries are those not listed as developed or transition countries. The list of least developed countries (LDCs) has been agreed by the General Assembly, on the recommendation of the Committee for Development Policy, Economic and Social Council. Agricultural, clothing and textile groups follow the definition in WTO agreements based on the Harmonized System 1992, transposed to current versions by WTO Secretariat. Agricultural products correspond to Harmonized System 1992, chapters 01 to 24 less fish and fish products (chap. 03); in addition to parts of chapters 29, 33, 35, 38, 41, 43, 50 to 53. Textile is mainly covered in chapters 50 to 60. The bulk of clothing products are found in chapters 61-63.
This indicator reflects the total share of lines in the country’s tariff schedule bound subject to WTO Negotiation Agreements. Expressed as a percentage of total lines.  As calculated by the World Bank Institute WTI 2008 team.
Binding coverage is the percentage of product lines with an agreed bound rate. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68.
Simple mean bound rate is the unweighted average of all the lines in the tariff schedule in which bound rates have been set. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68.
This indicator is calculated as the coefficient of variation of the applied tariff rates including preferential rates that a country applies to its trading partners available at HS 6-digit product level in a country’s customs schedule.  As calculated by the World Bank Institute WTI 2008 team.
This indicator reflects the total share of lines in the country’s MFN tariff schedule with the value above 3 times the simple average tariff.  Expressed as a percentage of total lines.  These shares are also reported disaggregated for agricultural goods and non-agricultural goods.
Share of tariff lines with international peaks is the share of lines in the tariff schedule with tariff rates that exceed 15 percent. It provides an indication of how selectively tariffs are applied. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68.
Simple mean applied tariff is the unweighted average of effectively applied rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of simple mean tariffs. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68.
Simple mean most favored nation tariff rate is the unweighted average of most favored nation rates for all products subject to tariffs calculated for all traded goods.  Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68.
Share of tariff lines with specific rates is the share of lines in the tariff schedule that are set on a per unit basis or that combine ad valorem and per unit rates.  It shows the extent to which countries use tariffs based on physical quantities or other, non-ad valorem measures. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68.
Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's
Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68.
Weighted mean most favored nations tariff is the average of most favored nation rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database.  Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68.
This indicator reflects the total share of lines in the country’s tariff schedule bound subject to WTO Negotiation Agreements. Expressed as a percentage of total lines.  As calculated by the World Bank Institute WTI 2008 team.
Binding coverage is the percentage of product lines with an agreed bound rate. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable.
Simple mean bound rate is the unweighted average of all the lines in the tariff schedule in which bound rates have been set. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable.
This indicator is calculated as the coefficient of variation of the applied tariff rates including preferential rates that a country applies to its trading partners available at HS 6-digit product level in a country’s customs schedule.  As calculated by the World Bank Institute WTI 2008 team.
This indicator reflects the total share of lines in the country’s MFN tariff schedule with the value above 3 times the simple average tariff.  Expressed as a percentage of total lines.  These shares are also reported disaggregated for agricultural goods and non-agricultural goods.
Share of tariff lines with international peaks is the share of lines in the tariff schedule with tariff rates that exceed 15 percent. It provides an indication of how selectively tariffs are applied.
Simple mean applied tariff is the unweighted average of effectively applied rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of simple mean tariffs.
Simple mean most favored nation tariff rate is the unweighted average of most favored nation rates for all products subject to tariffs calculated for all traded goods.  Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups.
Share of tariff lines with specific rates is the share of lines in the tariff schedule that are set on a per unit basis or that combine ad valorem and per unit rates. It shows the extent to which countries use tariffs based on physical quantities or other, non-ad valorem measures.
Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead.
Weighted mean most favored nations tariff is the average of most favored nation rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database.
This indicator reflects the total share of lines in the country’s tariff schedule bound subject to WTO Negotiation Agreements. Expressed as a percentage of total lines.  As calculated by the World Bank Institute WTI 2008 team.
Binding coverage is the percentage of product lines with an agreed bound rate. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals).
Simple mean bound rate is the unweighted average of all the lines in the tariff schedule in which bound rates have been set. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals).
This indicator is calculated as the coefficient of variation of the applied tariff rates including preferential rates that a country applies to its trading partners available at HS 6-digit product level in a country’s customs schedule.  As calculated by the World Bank Institute WTI 2008 team.
This indicator reflects the total share of lines in the country’s MFN tariff schedule with the value above 3 times the simple average tariff.  Expressed as a percentage of total lines.  These shares are also reported disaggregated for agricultural goods and non-agricultural goods.
Share of tariff lines with international peaks is the share of lines in the tariff schedule with tariff rates that exceed 15 percent. It provides an indication of how selectively tariffs are applied. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals).
Simple mean applied tariff is the unweighted average of effectively applied rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of simple mean tariffs. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals).
Simple mean most favored nation tariff rate is the unweighted average of most favored nation rates for all products subject to tariffs calculated for all traded goods.  Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals).
Share of tariff lines with specific rates is the share of lines in the tariff schedule that are set on a per unit basis or that combine ad valorem and per unit rates. It shows the extent to which countries use tariffs based on physical quantities or other, non-ad valorem measures. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals).
Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals).
Weighted mean most favored nations tariff is the average of most favored nation rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database.  Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals).
It is the average tariffs imposed by developed countries on subsets of selected items (agricultural products, textile and clothing exports) that are deemed to be of interest to developing countries. For the purpose of calculating this indicator, Japan in Asia, Canada and the United States in North America, Australia and New Zealand in Oceania and Iceland, Norway, Switzerland and the EU (25 countries included since 2004) in Europe are considered “developed” regions or areas, following the common accepted practice used for MDG indicators. Developing countries are those not listed as developed or transition countries. The list of least developed countries (LDCs) has been agreed by the General Assembly, on the recommendation of the Committee for Development Policy, Economic and Social Council. Agricultural, clothing and textile groups follow the definition in WTO agreements based on the Harmonized System 1992, transposed to current versions by WTO Secretariat. Agricultural products correspond to Harmonized System 1992, chapters 01 to 24 less fish and fish products (chap. 03); in addition to parts of chapters 29, 33, 35, 38, 41, 43, 50 to 53. Textile is mainly covered in chapters 50 to 60. The bulk of clothing products are found in chapters 61-63.
It is the average tariffs imposed by developed countries on subsets of selected items (agricultural products, textile and clothing exports) that are deemed to be of interest to developing countries. For the purpose of calculating this indicator, Japan in Asia, Canada and the United States in North America, Australia and New Zealand in Oceania and Iceland, Norway, Switzerland and the EU (25 countries included since 2004) in Europe are considered “developed” regions or areas, following the common accepted practice used for MDG indicators. Developing countries are those not listed as developed or transition countries. The list of least developed countries (LDCs) has been agreed by the General Assembly, on the recommendation of the Committee for Development Policy, Economic and Social Council. Agricultural, clothing and textile groups follow the definition in WTO agreements based on the Harmonized System 1992, transposed to current versions by WTO Secretariat. Agricultural products correspond to Harmonized System 1992, chapters 01 to 24 less fish and fish products (chap. 03); in addition to parts of chapters 29, 33, 35, 38, 41, 43, 50 to 53. Textile is mainly covered in chapters 50 to 60. The bulk of clothing products are found in chapters 61-63.
Import unit value indices come from UNCTAD's trade database. Unit value indices are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD’s estimates using the previous year’s trade values at the Standard International Trade Classification three-digit level as weights. To improve data coverage, especially for the latest periods, UNCTAD constructs a set of average prices indexes at the three-digit product classification of the Standard International Trade Classification revision 3 using UNCTAD’s Commodity Price Statistics, interna¬tional and national sources, and UNCTAD secretariat estimates.
Agricultural raw materials comprise SITC section 2 (crude materials except fuels) excluding divisions 22, 27 (crude fertilizers and minerals excluding coal, petroleum, and precious stones), and 28 (metalliferous ores and scrap).
Petroleum and energy products imports in current US dollars. Values are on cif (includes freight and insurance costs).
Petroleum and energy products imports, cif (includes freight and insurance costs) in 1987 constant US dollars.
Food imports, cif (includes freight and insurance costs) in current US dollars.
Food imports, cif (includes freight and insurance costs) in 1987 constant US dollars.
Food comprises the commodities in SITC sections 0 (food and live animals), 1 (beverages and tobacco), and 4 (animal and vegetable oils and fats) and SITC division 22 (oil seeds, oil nuts, and oil kernels).
Fuels comprise the commodities in SITC section 3 (mineral fuels, lubricants and related materials).
Information and communication technology goods imports include computers and peripheral equipment, communication equipment, consumer electronic equipment, electronic components, and other information and technology goods (miscellaneous).
Insurance and financial services cover freight insurance on goods imported and other direct insurance such as life insurance; financial intermediation services such as commissions, foreign exchange transactions, and brokerage services; and auxiliary services such as financial market operational and regulatory services.
Imports of capital goods in current US dollars. Values are on cif (includes freight and insurance costs).
Imports of capital goods, cif (includes freight and insurance costs) in 1987 constant US dollars.
Manufactures comprise the commodities in SITC sections 5 (chemicals), 6 (basic manufactures), 7 (machinery and transport equipment), and 8 (miscellaneous manufactured goods), excluding division 68 (nonferrous metals).
Ores and metals comprise commodities in SITC sections 27 (crude fertilizer, minerals nes); 28 (metalliferous ores, scrap); and 68 (non-ferrous metals).
Merchandise imports from economies in the Arab World are the sum of merchandise imports by the reporting economy from economies in the Arab World. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
Merchandise imports show the c.i.f. value of goods received from the rest of the world valued in current U.S. dollars.
Total merchandise imports, cif (includes freight and insurance costs) in current US dollars.
Merchandise imports show the c.i.f. value of goods received from the rest of the world valued in current U.S. dollars.
Merchandise imports from high-income economies are the sum of merchandise imports by the reporting economy from high-income economies according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
Total merchandise imports, cif (includes freight and insurance costs) in 1987 constant US dollars.
Merchandise imports from low- and middle-income economies outside region are the sum of merchandise imports by the reporting economy from other low- and middle-income economies in other World Bank regions according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
Merchandise imports from low- and middle-income economies in East Asia and Pacific are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the East Asia and Pacific region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
Merchandise imports from low- and middle-income economies in Europe and Central Asia are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the Europe and Central Asia region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
Merchandise imports from low- and middle-income economies in Latin America and the Caribbean are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the Latin America and the Caribbean region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
Merchandise imports from low- and middle-income economies in Middle East and North Africa are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the Middle East and North Africa region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
Merchandise imports from low- and middle-income economies in South Asia are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the South Asia region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
Merchandise imports from low- and middle-income economies in Sub-Saharan Africa are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the Sub-Saharan Africa region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
Merchandise imports by the reporting economy residuals are the total merchandise imports by the reporting economy from the rest of the world as reported in the IMF's Direction of trade database, less the sum of imports by the reporting economy from high-, low-, and middle-income economies according to the World Bank classification of economies. Includes trade with unspecified partners or with economies not covered by World Bank classification. Data are as a percentage of total merchandise imports by the economy.
Merchandise imports by the reporting economy are the total merchandise imports by the reporting economy from the rest of the world, as reported in the IMF's Direction of trade database. Data are in current U.S. dollars.
Merchandise imports from low- and middle-income economies within region are the sum of merchandise imports by the reporting economy from other low- and middle-income economies in the same World Bank region according to the World Bank classification of economies. Data are as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. No figures are shown for high-income economies, because they are a separate category in the World Bank classification of economies.
Import value indexes are the current value of imports (c.i.f.) converted to U.S. dollars and expressed as a percentage of the average for the base period (2015). UNCTAD's import value indexes are reported for most economies.
Consumer goods imports, cif (includes freight and insurance costs) in current dollars.
Consumer goods imports, cif (includes freight and insurance costs) in 1987 constant US dollars.
Computer, communications and other services (% of commercial service imports) include such activities as international telecommunications, and postal and courier services; computer data; news-related service transactions between residents and nonresidents; construction services; royalties and license fees; miscellaneous business, professional, and technical services; and personal, cultural, and recreational services.
Imports of manufactures (SITC 5 through 9 excluding 68) in current US dollars. Values are on c.i.f. basis.
Imports of manufactures (SITC 5 through 9 excluding 68) in 1987 constant US dollars.
Primary goods imports, cif (includes freight and insurance costs) in current US dollars.
Primary goods imports, cif (includes freight and insurance costs) in 1987 constant US dollars.
Intermediate goods imports, cif (includes freight and insurance costs) current US dollars.
Intermediate goods imports, cif (includes freight and insurance costs) in 1987 constant US dollars.
Commercial service imports are total service imports minus imports of government services not included elsewhere. International transactions in services are defined by the IMF's Balance of Payments Manual (1993) as the economic output of intangible commodities that may be produced, transferred, and consumed at the same time. Definitions may vary among reporting economies.
Transport services (% of commercial service imports) covers all transport services (sea, air, land, internal waterway, space, and pipeline) performed by residents of one economy for those of another and involving the carriage of passengers, movement of goods (freight), rental of carriers with crew, and related support and auxiliary services. Excluded are freight insurance, which is included in insurance services; goods procured in ports by nonresident carriers and repairs of transport equipment, which are included in goods; repairs of railway facilities, harbors, and airfield facilities, which are included in construction services; and rental of carriers without crew, which is included in other services.
Travel services (% of commercial service imports) covers goods and services acquired from an economy by travelers in that economy for their own use during visits of less than one year for business or personal purposes. Travel services include the goods and services consumed by travelers, such as lodging, meals, and transport (within the economy visited).
The terms of trade effect equals capacity to import less exports of goods and services.
Total reserves comprise holdings of monetary gold, special drawing rights, reserves of IMF members held by the IMF, and holdings of foreign exchange under the control of monetary authorities.
Doing Business measures the time and cost associated with exporting and importing a standardized cargo of goods by sea transport. The time and cost necessary to complete 4 predefined stages (document preparation; customs clearance and inspections; inland transport and handling; and port and terminal handling) for exporting and importing the goods are recorded. All documents needed by the trader to export or import the goods across the border are also recorded. The process of exporting goods ranges from packing the goods into the container at the warehouse to their departure from the port of exit. The process of importing goods ranges from the vessel’s arrival at the port of entry to the cargo’s delivery at the warehouse. For landlocked economies, since the seaport is located in the transit economy, the time, cost and documents associated with the processes at the inland border are also included. The score for trading across borders is a simple average of the cost to export and import, time to export and import, and the number documents to export and import. It is computed based on the methodology in the DB06-15 studies.
Doing Business measures the time and cost associated with three sets of procedures of exporting and importing goods —documentary compliance, border compliance and domestic transport—within the overall process of exporting or importing a shipment of goods. The score for trading across borders is the simple average of the scores for the time and cost for documentary compliance and border compliance to export and import. It is computed based on the methodology in the DB16-20 studies.
The time for documentary compliance to export records the time associated with compliance with the export documentary requirements of all government agencies of the origin economy, the destination economy and any transit economies. It is calculated in hours.  It includes the time for obtaining documents; preparing documents; processing documents; presenting documents; and submitting documents. All electronic or paper submissions of information requested by any government agency in connection with the shipment are considered to be documents obtained, prepared and submitted during the export process. All documents prepared by the freight forwarder or customs broker for the product and partner pair assumed in the case study are included regardless of whether they are required by law or in practice. The component indicator is computed based on the methodology in the DB16-20 studies.
The number of documents to export records the number of documents required by law or common practice by relevant agencies per export shipment. All documents required by law or common practice by relevant agencies—including government ministries, customs authorities, port authorities and other control agencies—per export shipment are taken into account. For landlocked economies, documents required by authorities in the transit economy are also included. Since payment is by letter of credit, all documents required by banks for the issuance or securing of a letter of credit are also taken into account. Documents that are requested at the time of clearance but that are valid for a year or longer or do not require renewal per shipment (for example, an annual tax clearance certificate) are not included. Documents that are required by customs authorities purely for purposes of preferential treatment but are not required for any other purpose by any of the authorities in the process of trading are not included. The component indicator is computed based on the methodology in the DB06-15 studies.
The score for the number of documents to export benchmarks economies with respect to the regulatory best practice on the indicator. The score ranges from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance, and is computed based on the methodology in the DB06-15 studies.
The number of documents to import records the number of documents required by law or common practice by relevant agencies per import shipment. All documents required by law or common practice by relevant agencies—including government ministries, customs authorities, port authorities and other control agencies—per import shipment are taken into account. For landlocked economies, documents required by authorities in the transit economy are also included. Since payment is by letter of credit, all documents required by banks for the issuance or securing of a letter of credit are also taken into account. Documents that are requested at the time of clearance but that are valid for a year or longer or do not require renewal per shipment (for example, an annual tax clearance certificate) are not included. Documents that are required by customs authorities purely for purposes of preferential treatment but are not required for any other purpose by any of the authorities in the process of trading are not included. The component indicator is computed based on the methodology in the DB06-15 studies.
The score for the number of documents to import benchmarks economies with respect to the regulatory best practice on the indicator. The score ranges from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance, and is computed based on the methodology in the DB06-15 studies.
The time for border compliance to export records the time associated with compliance with the economy’s customs regulations and with regulations relating to other inspections that are mandatory in order for the export shipment to cross the economy’s border, as well as the time and cost for handling that takes place at its port or border. It is calulcated in hours. The time for this segment includes time for customs clearance and inspection procedures conducted by other agencies. If all customs clearance and other inspections take place at the port or border at the same time, the time estimate for border compliance takes this simultaneity into account. The component indicator is computed based on the methodology in the DB16-20 studies.
The cost for border compliance to export records the cost associated with compliance with the economy’s customs regulations and with regulations relating to other inspections that are mandatory in order for the export shipment to cross the economy’s border, as well as the time and cost for handling that takes place at its port or border. It is calculated in US dollars. The cost for this segment include the cost for customs clearance and inspection procedures conducted by other agencies. For example, the cost for conducting a phytosanitary inspection would be included here. Informal payments for which no receipt is issued are excluded from the costs recorded. The component indicator is computed based on the methodology in the DB16-20 studies.
The score for the cost for border compliance to export benchmarks economies with respect to the regulatory best practice on the indicator. The score ranges from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance, and is computed based on the methodology in the DB16-20 studies.
The cost to export records the cost associated with exporting a standardized cargo of goods by sea transport through 4 predefined stages: document preparation; customs clearance and inspections; inland transport and handling; and port and terminal handling. It is calculated in US dollars per container deflated. Cost measures the fees levied on the export of goods in a 20-foot container, in US dollars. All fees charged by government agencies and the private sector to a trader in the process of exporting and importing the goods are taken into account. These include but are not limited to costs for documents, administrative fees for customs clearance and inspections, customs broker fees, port-related charges and inland transport costs. Only official costs are recorded. The component indicator is computed based on the methodology in the DB06-15 studies.
The score for the cost to export benchmarks economies with respect to the regulatory best practice on the indicator. The score ranges from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance, and is computed based on the methodology in the DB06-15 studies.
The cost for documentary compliance to export records the cost associated with compliance with the export documentary requirements of all government agencies of the origin economy, the destination economy and any transit economies. It is calculated in UD dollars. The cost for documentary compliance includes the cost for obtaining, preparing, processing, presenting and submitting documents. Insurance cost and informal payments for which no receipt is issued are excluded from the costs recorded. The component indicator is computed based on the methodology in the DB16-20 studies.
The score for the cost for documentary compliance to export benchmarks economies with respect to the regulatory best practice on the indicator. The score ranges from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance, and is computed based on the methodology in the DB16-20 studies.
The time to export records the time associated with exporting a standardized cargo of goods by sea transport through 4 predefined stages: document preparation; customs clearance and inspections; inland transport and handling; and port and terminal handling. It is calculated in calendar days. The time calculation for each of the 4 predefined stages starts from the moment the stage is initiated and runs until it is completed. Fast-track procedures applying only to firms located in an export processing zone, or only to certain accredited firms under authorized economic operator programs, are not taken into account because they are not available to all trading companies. Sea transport time is not included. It is assumed that neither the exporter nor the importer wastes time and that each commits to completing the process without delay. It is assumed that document preparation, inland transport and handling, customs clearance and inspections, and port and terminal handling require a minimum time of 1 day each and cannot take place simultaneously. The component indicator is computed based on the methodology in the DB06-15 studies.
The score for the time for border compliance to export benchmarks economies with respect to the regulatory best practice on the indicator. The score ranges from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance, and is computed based on the methodology in the DB16-20 studies.
The score for the time for documentary compliance to export benchmarks economies with respect to the regulatory best practice on the indicator. The score ranges from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance, and is computed based on the methodology in the DB16-20 studies.
The score for the time to export benchmarks economies with respect to the regulatory best practice on the indicator. The score ranges from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance, and is computed based on the methodology in the DB06-15 studies.
The time for border compliance to import records the time associated with compliance with the economy’s customs regulations and with regulations relating to other inspections that are mandatory in order for the import shipment to cross the economy’s border, as well as the time and cost for handling that takes place at its port or border. It is calculate in hours. The time for this segment includes time for customs clearance and inspection procedures conducted by other agencies. If all customs clearance and other inspections take place at the port or border at the same time, the time estimate for border compliance takes this simultaneity into account. The component indicator is computed based on the methodology in the DB16-20 studies.
The cost for border compliance to import records the cost associated with compliance with the economy’s customs regulations and with regulations relating to other inspections that are mandatory in order for the import shipment to cross the economy’s border, as well as the time and cost for handling that takes place at its port or border. It is calculated in US dollars. The cost for this segment include the cost for customs clearance and inspection procedures conducted by other agencies. For example, the cost for conducting a technical standard inspection would be included here. Informal payments for which no receipt is issued are excluded from the costs recorded. The component indicator is computed based on the methodology in the DB16-20 studies.
The score for the cost for border compliance to import benchmarks economies with respect to the regulatory best practice on the indicator. The score ranges from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance, and is computed based on the methodology in the DB16-20 studies.
The cost to import records the cost associated with importing a standardized cargo of goods by sea transport through 4 predefined stages: document preparation; customs clearance and inspections; inland transport and handling; and port and terminal handling. It is calculated in US dollars per container deflated. Cost measures the fees levied on import of goods in a 20-foot container, in US dollars. All fees charged by government agencies and the private sector to a trader in the process of exporting and importing the goods are taken into account. These include but are not limited to costs for documents, administrative fees for customs clearance and inspections, customs broker fees, port-related charges and inland transport costs. Only official costs are recorded. The component indicator is computed based on the methodology in the DB06-15 studies.
The score for the cost to import benchmarks economies with respect to the regulatory best practice on the indicator. The score ranges from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance, and is computed based on the methodology in the DB06-15 studies.
The cost for documentary compliance to import records the cost associated with compliance with the import documentary requirements of all government agencies of the origin economy, the destination economy and any transit economies. It is calculated in US dollars. The cost for documentary compliance includes the cost for obtaining, preparing, processing, presenting and submitting documents. Insurance cost and informal payments for which no receipt is issued are excluded from the costs recorded. The component indicator is computed based on the methodology in the DB16-20 studies.
The score for the cost for documentary compliance to import benchmarks economies with respect to the regulatory best practice on the indicator. The score ranges from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance, and is computed based on the methodology in the DB16-20 studies.
The time for documentary compliance to import records the time associated with compliance with the import documentary requirements of all government agencies of the origin economy, the destination economy and any transit economies. It is calculated in hours. It  includes the time for obtaining documents, preparing documents, processing documents, presenting documents and submitting documents. All electronic or paper submissions of information requested by any government agency in connection with the shipment are considered to be documents obtained, prepared and submitted during the import process. All documents prepared by the freight forwarder or customs broker for the product and partner pair assumed in the case study are included regardless of whether they are required by law or in practice. The component indicator is computed based on the methodology in the DB16-20 studies.
The time to import records the time associated with importing a standardized cargo of goods by sea transport through 4 predefined stages: document preparation; customs clearance and inspections; inland transport and handling; and port and terminal handling. It is calulcated in calendar days. The time calculation for each of the 4 predefined stages starts from the moment the stage is initiated and runs until it is completed. Fast-track procedures applying only to certain accredited firms under authorized economic operator programs are not taken into account because they are not available to all trading companies. Sea transport time is not included. It is assumed that neither the exporter nor the importer wastes time and that each commits to completing the process without delay. It is assumed that document preparation, inland transport and handling, customs clearance and inspections, and port and terminal handling require a minimum time of 1 day each and cannot take place simultaneously. The component indicator is computed based on the methodology in the DB06-15 studies.
The score for the time for border compliance to import benchmarks economies with respect to the regulatory best practice on the indicator. The score ranges from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance, and is computed based on the methodology in the DB16-20 studies.
The score for the time for documentary compliance to import benchmarks economies with respect to the regulatory best practice on the indicator. The score ranges from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance, and is computed based on the methodology in the DB16-20 studies.
The score for the time to import benchmarks economies with respect to the regulatory best practice on the indicator. The score ranges from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance, and is computed based on the methodology in the DB06-15 studies.
The ranking of economies on the ease of trading across borders is determined by sorting their scores for trading across borders.
Net barter (merchandise) terms of trade (1987 = 100) are the ratio of the export price index to the corresponding import price index measured relative to the base year of 1987.
Net barter terms of trade index is calculated as the percentage ratio of the export unit value indexes to the import unit value indexes, measured relative to the base year 2015.
Number of products (at SITC, Revision 3, 3-digit group level) exported by country or country grouping; this figure includes only those products that are greater than 100,000 dollars or more than 0.3 per cent of the country’s or country group’s total exports.  The maximum number of products is 261.
This indicator reflects the Herfindahl-Hirschmann index measure of the degree of export concentration within a country.  The sectoral Hirschmann index is defined as the square root of the sum of the squared shares of exports of each industry in total exports for the region under study.  Takes a value between 0 and 1, with 1 indicating that only a single product is exported.  Higher values indicate that exports are concentrated in fewer sectors.  On the contrary, values closer to 0 reflect a more equal distribution of market shares among exporters. Note that this type of concentration indicator tends to be quite vulnerable to cyclical fluctuations in relative-prices, in a way that commodity price rises make commodity exporters look more concentrated.
The diversification index signals whether the structure of exports by product of a given country or group of countries differ from the structure of product of the world.  Diversification index is computed by measuring absolute deviation of the country share from world structure.  Diversification index that ranges from 0 to 1 reveals the extent of the differences between the structure of trade of the country or country group and the world average. The index value closer to 1 indicates a bigger difference from the world average. It is constructed as the inverse of a Herfindahl index, using disaggregated exports at 4 digits (following the STIC3).
Share of medium and high-tech manufactured exports in total manufactured exports.
This item is a price index measuring changes in the aggregate price level of a country's merchandise exports f.o.b. over time.
This item is a price index measuring changes in the aggregate price level of a country's non-factor services exports over time with 1987 price index=100.
Export volume index of commodity 1 with 1987=100.
Export volume index of commodity 2 with 1987=100.
Export volume index of commodity 3 with 1987=100.
Export volume index of commodity 4 with 1987=100.
Export volume index of manufactures with 1987=100.
Merchandise exports volume index with 1987=100.
Export volume indexes are derived from UNCTAD's volume index series and are the ratio of the export value indexes to the corresponding unit value indexes. Unit value indexes are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD's estimates using the previous year's trade values at the Standard International Trade Classification three-digit level as weights.
Exports of (non-factor) services. Data; Volume index with 1987=100.
Export volume index of other primary commodities with 1987=100.
Export unit value indices come from UNCTAD's trade database. Unit value indices are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD’s estimates using the previous year’s trade values at the Standard International Trade Classification three-digit level as weights. To improve data coverage, especially for the latest periods, UNCTAD constructs a set of average prices indexes at the three-digit product classification of the Standard International Trade Classification revision 3 using UNCTAD’s Commodity Price Statistics, interna¬tional and national sources, and UNCTAD secretariat estimates.
Agricultural raw materials comprise SITC section 2 (crude materials except fuels) excluding divisions 22, 27 (crude fertilizers and minerals excluding coal, petroleum, and precious stones), and 28 (metalliferous ores and scrap).
Exports of commodity 1 in current US dollars and fob basis.
Exports of commodity 1 in 1987 constant US dollars and fob basis.
Exports of commodity 2 in current US dollars and fob basis.
Exports of commodity 2 in 1987 constant US dollars and fob basis.
Exports of commodity 3 in current US dollars and fob basis.
Exports of commodity 3 in 1987 constant US dollars and fob basis.
Exports of commodity 4 in current US dollars and fob basis.
Exports of commodity 4 in 1987 constant US dollars and fob basis.
Food comprises the commodities in SITC sections 0 (food and live animals), 1 (beverages and tobacco), and 4 (animal and vegetable oils and fats) and SITC division 22 (oil seeds, oil nuts, and oil kernels).
Fuels comprise the commodities in SITC section 3 (mineral fuels, lubricants and related materials).
Information and communication technology goods exports include computers and peripheral equipment, communication equipment, consumer electronic equipment, electronic components, and other information and technology goods (miscellaneous).
Insurance and financial services cover freight insurance on goods exported and other direct insurance such as life insurance; financial intermediation services such as commissions, foreign exchange transactions, and brokerage services; and auxiliary services such as financial market operational and regulatory services.
Manufactures comprise the commodities in SITC sections 5 (chemicals), 6 (basic manufactures), 7 (machinery and transport equipment), and 8 (miscellaneous manufactured goods), excluding division 68 (nonferrous metals).
Manufactures comprise the commodities in SITC sections 5 (chemicals), 6 (basic manufactures), 7 (machinery and transport equipment), and 8 (miscellaneous manufactured goods), excluding division 68 (nonferrous metals) in 1987 constant US dollars. Values are on fob basis.
Manufactures comprise commodities in SITC sections 5 (chemicals), 6 (basic manufactures), 7 (machinery and transport equipment), and 8 (miscellaneous manufactured goods), excluding division 68 (non-ferrous metals).
Ores and metals comprise the commodities in SITC sections 27 (crude fertilizer, minerals nes); 28 (metalliferous ores, scrap); and 68 (non-ferrous metals).
Merchandise exports to economies in the Arab World are the sum of merchandise exports by the reporting economy to economies in the Arab World. Data are expressed as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
Merchandise exports show the f.o.b. value of goods provided to the rest of the world valued in current U.S. dollars.
Merchandise exports (current US$) show the f.o.b. value of goods provided to the rest of the world valued in U.S. dollars. They are classified using the Standard International Trade Classification (SITC). Data are in current U.S. dollars.
Merchandise exports show the f.o.b. value of goods provided to the rest of the world valued in current U.S. dollars.
Merchandise exports to high-income economies are the sum of merchandise exports from the reporting economy to high-income economies according to the World Bank classification of economies. Data are in current U.S. dollars. Data are computed only if at least half of the economies in the partner country group had non-missing data.
Merchandise exports to high-income economies are the sum of merchandise exports from the reporting economy to high-income economies according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
Merchandise exports (constant 1987 US$) show the f.o.b. value of goods provided to the rest of the world valued in U.S. dollars. They are classified using the Standard International Trade Classification (SITC). Data are in constant U.S. dollars.
Merchandise exports to low- and middle-income economies outside region are the sum of merchandise exports from the reporting economy to other low- and middle-income economies in other World Bank regions according to the World Bank classification of economies. Data are in current U.S. dollars. Data are computed only if at least half of the economies in the partner country group had non-missing data.
Merchandise exports to low- and middle-income economies outside region are the sum of merchandise exports from the reporting economy to other low- and middle-income economies in other World Bank regions according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
Merchandise exports to low- and middle-income economies in East Asia and Pacific are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the East Asia and Pacific region according to World Bank classification of economies. Data are in current U.S. dollars. Data are computed only if at least half of the economies in the partner country group had non-missing data.
Merchandise exports to low- and middle-income economies in East Asia and Pacific are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the East Asia and Pacific region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
Merchandise exports to low- and middle-income economies in Europe and Central Asia are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the Europe and Central Asia region according to World Bank classification of economies. Data are in current U.S. dollars. Data are computed only if at least half of the economies in the partner country group had non-missing data.
Merchandise exports to low- and middle-income economies in Europe and Central Asia are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the Europe and Central Asia region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
Merchandise exports to low- and middle-income economies in Latin America and the Caribbean are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the Latin America and the Caribbean region according to World Bank classification of economies. Data are in current U.S. dollars. Data are computed only if at least half of the economies in the partner country group had non-missing data.
Merchandise exports to low- and middle-income economies in Latin America and the Caribbean are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the Latin America and the Caribbean region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
Merchandise exports to low- and middle-income economies in Middle East and North Africa are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the Middle East and North Africa region according to World Bank classification of economies. Data are in current U.S. dollars. Data are computed only if at least half of the economies in the partner country group had non-missing data.
Merchandise exports to low- and middle-income economies in Middle East and North Africa are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the Middle East and North Africa region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
Merchandise exports to low- and middle-income economies in South Asia are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the South Asia region according to World Bank classification of economies. Data are in current U.S. dollars. Data are computed only if at least half of the economies in the partner country group had non-missing data.
Merchandise exports to low- and middle-income economies in South Asia are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the South Asia region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
Merchandise exports to low- and middle-income economies in Sub-Saharan Africa are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the Sub-Saharan Africa region according to World Bank classification of economies. Data are in current U.S. dollars. Data are computed only if at least half of the economies in the partner country group had non-missing data.
Merchandise exports to low- and middle-income economies in Sub-Saharan Africa are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the Sub-Saharan Africa region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.
Merchandise exports by the reporting economy residuals are the total merchandise exports by the reporting economy to the rest of the world as reported in the IMF's Direction of trade database, less the sum of exports by the reporting economy to high-, low-, and middle-income economies according to the World Bank classification of economies. Includes trade with unspecified partners or with economies not covered by World Bank classification. Data are as a percentage of total merchandise exports by the economy.
Merchandise exports by the reporting economy are the total merchandise exports by the reporting economy to the rest of the world, as reported in the IMF's Direction of trade database. Data are in current US$.
Merchandise exports to low- and middle-income economies within region are the sum of merchandise exports from the reporting economy to other low- and middle-income economies in the same World Bank region. Data are in current U.S. dollars. Data are computed only if at least half of the economies in the partner country group had non-missing data. No figures are shown for high-income economies, because they are a separate category in the World Bank classification of economies.
Merchandise exports to low- and middle-income economies within region are the sum of merchandise exports from the reporting economy to other low- and middle-income economies in the same World Bank region as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. No figures are shown for high-income economies, because they are a separate category in the World Bank classification of economies.
Export values are the current value of exports (f.o.b.) converted to U.S. dollars and expressed as a percentage of the average for the base period (2015). UNCTAD's export value indexes are reported for most economies.
Exports of other primary commodities in current US dollars and fob basis.
Exports of other primary commodities in 1987 constant US dollars and fob basis.
Computer, communications and other services (% of commercial service exports) include such activities as international telecommunications, and postal and courier services; computer data; news-related service transactions between residents and nonresidents; construction services; royalties and license fees; miscellaneous business, professional, and technical services; and personal, cultural, and recreational services.
Commercial service exports are total service exports minus exports of government services not included elsewhere. International transactions in services are defined by the IMF's Balance of Payments Manual (1993) as the economic output of intangible commodities that may be produced, transferred, and consumed at the same time. Definitions may vary among reporting economies.
Total Primary Commodities exports in current US dollars. Values are in fob basis.
Total Primary Commodities exports in 1987 constant US dollars. Values are in fob basis.
High-technology exports are products with high R&D intensity, such as aerospace, computers, pharmaceuticals, scientific instruments, and electrical machinery. Data are in current U.S. dollars.
High-technology exports are products with high R&D intensity, such as in aerospace, computers, pharmaceuticals, scientific instruments, and electrical machinery.
Transport services (% of commercial service exports) covers all transport services (sea, air, land, internal waterway, space, and pipeline) performed by residents of one economy for those of another and involving the carriage of passengers, movement of goods (freight), rental of carriers with crew, and related support and auxiliary services. Excluded are freight insurance, which is included in insurance services; goods procured in ports by nonresident carriers and repairs of transport equipment, which are included in goods; repairs of railway facilities, harbors, and airfield facilities, which are included in construction services; and rental of carriers without crew, which is included in other services.
Travel services (% of commercial service exports) covers goods and services acquired from an economy by travelers in that economy for their own use during visits of less than one year for business or personal purposes. Travel services include the goods and services consumed by travelers, such as lodging and meals and transport (within the economy visited).
Number of female vocational education students at the lower secondary level expressed as a percentage of the total number of vocational education students (male and female) at the lower secondary level in a given school year.
Number of female vocational education students at the upper secondary level expressed as a percentage of the total number of vocational education students (male and female) at the upper secondary level in a given school year.
Number of female vocational education students at the post-secondary non-tertiary level expressed as a percentage of the total number of vocational education students (male and female) at the post-secondary non-tertiary level in a given school year.
Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Total number of female students enrolled in vocational programmes at the lower secondary education level, expressed as a percentage of the total number of female students enrolled in all programmes (vocational and general) at the lower secondary level. Vocational education is designed for learners to acquire the knowledge, skills and competencies specific to a particular occupation or trade or class of occupations or trades. Vocational education may have work-based components (e.g. apprenticeships). Successful completion of such programmes leads to labour-market relevant vocational qualifications acknowledged as occupationally-oriented by the relevant national authorities and/or the labour market.
Total number of male students enrolled in vocational programmes at the lower secondary education level, expressed as a percentage of the total number of male students enrolled in all programmes (vocational and general) at the lower secondary level. Vocational education is designed for learners to acquire the knowledge, skills and competencies specific to a particular occupation or trade or class of occupations or trades. Vocational education may have work-based components (e.g. apprenticeships). Successful completion of such programmes leads to labour-market relevant vocational qualifications acknowledged as occupationally-oriented by the relevant national authorities and/or the labour market.
Total number of female students enrolled in vocational programmes at the upper secondary education level, expressed as a percentage of the total number of female students enrolled in all programmes (vocational and general) at the upper secondary level. Vocational education is designed for learners to acquire the knowledge, skills and competencies specific to a particular occupation or trade or class of occupations or trades. Vocational education may have work-based components (e.g. apprenticeships). Successful completion of such programmes leads to labour-market relevant vocational qualifications acknowledged as occupationally-oriented by the relevant national authorities and/or the labour market.
Total number of male students enrolled in vocational programmes at the upper secondary education level, expressed as a percentage of the total number of male students enrolled in all programmes (vocational and general) at the upper secondary level. Vocational education is designed for learners to acquire the knowledge, skills and competencies specific to a particular occupation or trade or class of occupations or trades. Vocational education may have work-based components (e.g. apprenticeships). Successful completion of such programmes leads to labour-market relevant vocational qualifications acknowledged as occupationally-oriented by the relevant national authorities and/or the labour market.
Total number of female students enrolled in vocational programmes at the post-secondary non-tertiary education level, expressed as a percentage of the total number of female students enrolled in all programmes (vocational and general) at the post-secondary non-tertiary level. Vocational education is designed for learners to acquire the knowledge, skills and competencies specific to a particular occupation or trade or class of occupations or trades. Vocational education may have work-based components (e.g. apprenticeships). Successful completion of such programmes leads to labour-market relevant vocational qualifications acknowledged as occupationally-oriented by the relevant national authorities and/or the labour market.
Total number of male students enrolled in vocational programmes at the post-secondary non-tertiary education level, expressed as a percentage of the total number of male students enrolled in all programmes (vocational and general) at the post-secondary non-tertiary level. Vocational education is designed for learners to acquire the knowledge, skills and competencies specific to a particular occupation or trade or class of occupations or trades. Vocational education may have work-based components (e.g. apprenticeships). Successful completion of such programmes leads to labour-market relevant vocational qualifications acknowledged as occupationally-oriented by the relevant national authorities and/or the labour market.
The Human Development Index (HDI) is a summary measure of human development. It measures the average achievements in a country in three basic dimensions of human development: a long and healthy life, access to knowledge and a decent standard of living. The HDI is the geometric mean of normalized indices measuring achievements in each dimension. The HDI is the geometric mean of the three dimension indices and embodies imperfect substitutability across all HDI dimensions. It thus addresses one of the most serious criticisms of the linear aggregation formula, which allowed for perfect substitution across dimensions. Some substitutability is inherent in the definition of any index that increases with the values of its components. Data sources: Life expectancy at birth: UNDESA; Mean years of schooling: Barro and Lee; Expected years of schooling: UNESCO Institute for Statistics; Gross national income (GNI) per capita: World Bank.
The Combined Polity score is computed by subtracting the AUTOCRACY score (UPP.INS.AUTO.XQ) from the DEMOCRACY score (UPP.INS.DEMO.XQ); the resulting unified polity scale ranges from +10 (strongly democratic) to -10 (strongly autocratic). Note: The POLITY score was added to the Polity IV data series in recognition of its common usage by users in quantitative research and in the overriding interest of maintaining uniformity among users in this application. The simple combination of the original DEMOC and AUTOC index values in a unitary POLITY scale, in many ways, runs contrary to the original theory stated by Eckstein and Gurr in Patterns of Authority Polity IV Project: Dataset Users’ Manual 17 (1975) and, so, should be treated and interpreted with due caution. Its primary utility is in investigative research which should be augmented by more detailed analysis. The original theory posits that autocratic and democratic authority are distinct patterns of authority, elements of which may co-exist in any particular regime context. The inclusion of this variable in the data series should not be seen as an acceptance of the counter-proposal that autocracy and democracy are alternatives or opposites in a unified authority spectrum, even though elements of this perspective may be implied in the original theory. The POLITY variable provides a convenient avenue for examining general regime effects in analyses but researchers should note that the middle of the implied POLITY “spectrum” is somewhat muddled in terms of the original theory, masking various combinations of DEMOC and AUTOC scores with the same POLITY score. Investigations involving hypotheses of varying effects of democracy and/or autocracy should employ the original Polity scheme and test DEMOC and AUTOC separately.
Democracy is conceived as three essential, interdependent elements. One is the presence of institutions and procedures through which citizens can express effective preferences about alternative policies and leaders. Second is the existence of institutionalized constraints on the exercise of power by the executive. Third is the guarantee of civil liberties to all citizens in their daily lives and in acts of political participation. Other aspects of plural democracy, such as the rule of law, systems of checks and balances, freedom of the press, and so on are means to, or specific manifestations of, these general principles. We do not include coded data on civil liberties.
Democracy is conceived as three essential, interdependent elements. One is the presence of institutions and procedures through which citizens can express effective preferences about alternative policies and leaders. Second is the existence of institutionalized constraints on the exercise of power by the executive. Third is the guarantee of civil liberties to all citizens in their daily lives and in acts of political participation. Other aspects of plural democracy, such as the rule of law, systems of checks and balances, freedom of the press, and so on are means to, or specific manifestations of, these general principles. We do not include coded data on civil liberties.
Revised Combined Polity Score is a modified version of the POLITY variable added in order to facilitate the use of the POLITY regime measure in time-series analyses.
Voice and Accountability captures perceptions of the extent to which a country's citizens are able to participate in selecting their government, as well as freedom of expression, freedom of association, and a free media. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.
Voice and Accountability captures perceptions of the extent to which a country's citizens are able to participate in selecting their government, as well as freedom of expression, freedom of association, and a free media.  Number of sources indicates the number of underlying data sources on which the aggregate estimate is based.
Voice and Accountability captures perceptions of the extent to which a country's citizens are able to participate in selecting their government, as well as freedom of expression, freedom of association, and a free media. Percentile rank indicates the country's rank among all countries covered by the aggregate indicator, with 0 corresponding to lowest rank, and 100 to highest rank.  Percentile ranks have been adjusted to correct for changes over time in the composition of the countries covered by the WGI.
Voice and Accountability captures perceptions of the extent to which a country's citizens are able to participate in selecting their government, as well as freedom of expression, freedom of association, and a free media. Percentile rank indicates the country's rank among all countries covered by the aggregate indicator, with 0 corresponding to lowest rank, and 100 to highest rank.  Percentile ranks have been adjusted to correct for changes over time in the composition of the countries covered by the WGI. Percentile Rank Lower refers to lower bound of 90 percent confidence interval for governance, expressed in percentile rank terms.
Voice and Accountability captures perceptions of the extent to which a country's citizens are able to participate in selecting their government, as well as freedom of expression, freedom of association, and a free media. Percentile rank indicates the country's rank among all countries covered by the aggregate indicator, with 0 corresponding to lowest rank, and 100 to highest rank.  Percentile ranks have been adjusted to correct for changes over time in the composition of the countries covered by the WGI.  Percentile Rank Upper refers to upper bound of 90 percent confidence interval for governance, expressed in percentile rank terms.
Voice and Accountability captures perceptions of the extent to which a country's citizens are able to participate in selecting their government, as well as freedom of expression, freedom of association, and a free media. Standard error indicates the precision of the estimate of governance.  Larger values of the standard error indicate less precise estimates.  A 90 percent confidence interval for the governance estimate is given by the estimate +/- 1.64 times the standard error.
Battle-related deaths are deaths in battle-related conflicts between warring parties in the conflict dyad (two conflict units that are parties to a conflict). Typically, battle-related deaths occur in warfare involving the armed forces of the warring parties. This includes traditional battlefield fighting, guerrilla activities, and all kinds of bombardments of military units, cities, and villages, etc. The targets are usually the military itself and its installations or state institutions and state representatives, but there is often substantial collateral damage in the form of civilians being killed in crossfire, in indiscriminate bombings, etc. All deaths--military as well as civilian--incurred in such situations, are counted as battle-related deaths.
Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. "New Displacement" refers to the number of new cases or incidents of displacement recorded over the specified year, rather than the number of people displaced. This is done because people may have been displaced more than once.
Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. "New Displacement" refers to the number of new cases or incidents of displacement recorded over the specified year, rather than the number of people displaced. This is done because people may have been displaced more than once.
Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. “People displaced” refers to the number of people living in displacement as of the end of each year, and reflects the stock of people displaced at the end of the previous year, plus inflows of new cases arriving over the year as well as births over the year to those displaced, minus outflows which may include returnees, those who settled elsewhere, those who integrated locally, those who travelled over borders, and deaths.
Internally displaced persons are people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border.
Internally displaced persons are people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border.
Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.
Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.
Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.
Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.
Intentional homicides, female are estimates of unlawful female homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.
Intentional homicides, male are estimates of unlawful male homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.
Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.
Presence of peacebuilders and peacekeepers are active in peacebuilding and peacekeeping. Peacebuilding reduces the risk of lapsing or relapsing into conflict by strengthening national capacities at all levels of for conflict management, and to lay the foundation for sustainable peace and development. Peacekeepers provide essential security to preserve the peace, however fragile, where fighting has been halted, and to assist in implementing agreements achieved by the peacemakers. Peacekeepers deploy to war-torn regions where no one else is willing or able to go and prevent conflict from returning or escalating. Peacekeepers include police, troops, and military observers.
Account at a financial institution denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution.
Account at a financial institution denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution.
Account at a financial institution denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution.
Account at a financial institution denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution.
Account at a financial institution denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution.
Denotes the percentage of respondents who report having an account (by themselves or together with someone else). For 2011, this can be an account at a bank or another type of financial institution, and for 2014 this can be a mobile account as well (see year-specific definitions for details) (% age 15+). [ts: data are available for multiple waves].
Denotes the percentage of respondents who report having an account (by themselves or together with someone else). For 2011, this can be an account at a bank or another type of financial institution, and for 2014 this can be a mobile account as well (see year-specific definitions for details) (male, % age 15+). [ts: data are available for multiple waves].
Denotes the percentage of respondents who report having an account (by themselves or together with someone else). For 2011, this can be an account at a bank or another type of financial institution, and for 2014 this can be a mobile account as well (see year-specific definitions for details) (female, % age 15+). [ts: data are available for multiple waves].
Denotes the percentage of respondents who report having an account (by themselves or together with someone else). For 2011, this can be an account at a bank or another type of financial institution, and for 2014 this can be a mobile account as well (see year-specific definitions for details) (% ages 15-24). [ts: data are available for multiple waves].
Denotes the percentage of respondents who report having an account (by themselves or together with someone else). For 2011, this can be an account at a bank or another type of financial institution, and for 2014 this can be a mobile account as well (see year-specific definitions for details) (% age 25+). [ts: data are available for multiple waves].
Denotes the percentage of respondents who report having an account (by themselves or together with someone else). For 2011, this can be an account at a bank or another type of financial institution, and for 2014 this can be a mobile account as well (see year-specific definitions for details) (primary education or less, % age 15+). [ts: data are available for multiple waves].
Denotes the percentage of respondents who report having an account (by themselves or together with someone else). For 2011, this can be an account at a bank or another type of financial institution, and for 2014 this can be a mobile account as well (see year-specific definitions for details) (secondary education or more, % age 15+). [ts: data are available for multiple waves].
Denotes the percentage of respondents who report having an account (by themselves or together with someone else). For 2011, this can be an account at a bank or another type of financial institution, and for 2014 this can be a mobile account as well (see year-specific definitions for details) (income, poorest 40%, % age 15+). [ts: data are available for multiple waves].
Denotes the percentage of respondents who report having an account (by themselves or together with someone else). For 2011, this can be an account at a bank or another type of financial institution, and for 2014 this can be a mobile account as well (see year-specific definitions for details) (income, richest 60%, % age 15+). [ts: data are available for multiple waves].
Mobile account denotes the percentage of respondents who report personally using a mobile phone to pay bills or to send or receive money through a GSM Association (GSMA) Mobile Money for the Unbanked (MMU) service in the past 12 months; or receiving wages, government transfers, or payments for agricultural products through a mobile phone in the past 12 months.
Mobile account denotes the percentage of respondents who report personally using a mobile phone to pay bills or to send or receive money through a GSM Association (GSMA) Mobile Money for the Unbanked (MMU) service in the past 12 months; or receiving wages, government transfers, or payments for agricultural products through a mobile phone in the past 12 months.
Mobile account denotes the percentage of respondents who report personally using a mobile phone to pay bills or to send or receive money through a GSM Association (GSMA) Mobile Money for the Unbanked (MMU) service in the past 12 months; or receiving wages, government transfers, or payments for agricultural products through a mobile phone in the past 12 months.
Mobile account denotes the percentage of respondents who report personally using a mobile phone to pay bills or to send or receive money through a GSM Association (GSMA) Mobile Money for the Unbanked (MMU) service in the past 12 months; or receiving wages, government transfers, or payments for agricultural products through a mobile phone in the past 12 months.
Mobile account denotes the percentage of respondents who report personally using a mobile phone to pay bills or to send or receive money through a GSM Association (GSMA) Mobile Money for the Unbanked (MMU) service in the past 12 months; or receiving wages, government transfers, or payments for agricultural products through a mobile phone in the past 12 months.