{"doc_desc":{"title":"Education Attainment and Enrollment Around the World 1989-2008","idno":"DDI_WLD_2008_EAEAW_v01_M","prod_date":"2010-11-07"},"study_desc":{"title_statement":{"idno":"WLD_2008_EAEAW_v01_M","title":"Education Attainment and Enrollment Around the World 1989-2008","sub_title":"An International Database","alt_title":"EAEAW 2008"},"authoring_entity":[{"name":"Deon P. Filmer","affiliation":"World Bank, Development Economics Research Group"}],"production_statement":{"prod_date":"2010-11-07"},"version_statement":{"version":"This is the first release of an international database with summary information on education attainment and enrollment derived from household surveys from around the developing world.","version_date":"2010-05-26"},"study_info":{"time_periods":[{"start":"1989","end":"2008","cycle":""}],"coll_dates":[{"start":"1989","end":"2008","cycle":""}],"nation":[{"name":"World","abbreviation":"WLD"}],"geog_coverage":"The database includes datsa from the following countries:\n- Albania\t\n- Angola\t\n- Armenia\t\n- Azerbaijan\t\n- Bangladesh\t\n- Belarus\t\n- Benin\t\n- Bhutan\t\n - Bolivia\t\n- Bosnia and Herzegovina\t\n- Brazil\t\n- Brazil (NE & SE)\t\n- Brazil, Northeast\t\n- Bulgaria\t\n- Burkina Faso\t\n- Burundi\t\n- C.A.R.\t\n- Cambodia\t\n- Cameroon\t\n- Chad\t\n- Chile\t\n- China (9 Provinces)\t\n- Colombia\t\n- Comoros\t\n- Congo Rep.\t\n- Costa Rica\t\n- Cote d'Ivoire\t\n- DR Congo\t\n- Dominican Rep.\t\n- Ecuador\t\n- Egypt\t\n- Ethiopia\t\n- Gabon\t\n- Gambia\t\n- Ghana\t\n- Guatemala\t\n- Guinea\t\n- Guinea-Bissau\t\n- Guyana\t\n- Haiti\t\n- Honduras\t\n- India\t\n- Indonesia\t\n- Iraq\t\n- Jamaica\t\n- Jordan\t\n- Kazakhstan\t\n- Kenya\t\n- Kyrgyz Rep.\t\n- Lao PDR\t\n- Lesotho\t\n- Liberia\t\n- Macedonia\t\n- Madagascar\t\n- Malawi\t\n- Maldives\t\n- Mali\t\n- Marshall Isls.\t\n- Mauritania\t\n- Mexico\t\n- Moldova\t\n- Mongolia\t\n- Montenegro\t\n- Morocco\t\n- Mozambique\t\n- Myanmar\t\n- Namibia\t\n- Nepal\t\n- Nicaragua\t\n- Niger\t\n- Nigeria\t\n- Pakistan\t\n- Panama\t\n- Papua New Guinea\t\n- Paraguay\t\n- Peru\t\n- Philippines\t\n- Romania\t\n- Rwanda\t\n- Senegal\t\n- Serbia\t\n- Sierra Leone\t\n- South Africa\t\n- Suriname\t\n- Swaziland\t\n- Tajikistan\t\n- Tanzania\t\n- Thailand\t\n- Timor Leste\t\n- Togo\t\n- Turkey\t\n- Uganda\t\n- Ukraine\t\n- Uzbekistan\t\n- Venezuela\t\n- Vietnam\t\n- Zambia\t\n- Zimbabwe","notes":"The database contains the following indicators: \n- Percentage of the population ages 15 to 19 that has completed each grade (grades 1 to 9); \n- Percentage of the population ages 20 to 29 that has completed each grade (grades 1 to 9); \n- Percentage of the population ages 30 to 39 that has completed each grade (grades 1 to 9); \n- Percentage of the population ages 40 to 49 that has completed each grade (grades 1 to 9); \n- Median grade attained by the population ages 15 to 19; \n- Survival function estimates of the proportion of the population ages 6 to 19 that has completed each grade; \n- Percentage of the population ages 6 to 17, by age in single years, that has ever attended school; \n- Percentage of the population ages 6 to 17, by age in single years, that is currently in school; \n- Percentage of the population ages 6 to 11 (as a group) that is currently in school; \n- Percentage of the population ages 12 to 14 (as a group) that is currently in school; \n- Percentage of the population ages 6 to 14 (as a group) that is currently in school. \n- Concentration index (and its standard error) of the percentage of the population ages 15 to 19 that has completed grade 6. \n- Concentration index (and its standard error) of the percentage of the population ages 6 to 14 that is currently in school. \n\nEach indicator (except the concentration indexes) is calculated for a variety of subgroups within the population. These are: \n- All; \n- Rural and Urban; \n- Male and Female; \n- Rural\/Urban and Male\/Female interacted; \n- Poverty Quintiles (poorest quintile, quintiles 2, 3, 4 and richest quintile) with welfare rankings derived from an index of consumer durables and housing characteristics; \n- Poverty Groups (Poorest 40 percent; Middle 40 percent; Richest 20 percent) with welfare rankings derived from an index of consumer durables and housing characteristics; \n- The interaction of Poverty Groups and Male\/Female \n\nFor surveys with a consumption-expenditures aggregate variable that can be used to rank households (i.e. the Integrated Household Surveys), the following indicators are also calculated: \n- Expenditure Poverty Quintiles (poorest quintile, quintiles 2, 3, 4 and richest quintile) with welfare rankings derived from per capita household consumption-expenditures; \n- Expenditure Poverty Groups (Poorest 40 percent; Middle 40 percent; Richest 20 percent) with welfare rankings derived from per capita household consumption-expenditures; \n- The interaction of Expenditure Poverty Groups and Male\/Female","study_scope":"The database contains the following indicators: \n- Percentage of the population ages 15 to 19 that has completed each grade (grades 1 to 9); \n- Percentage of the population ages 20 to 29 that has completed each grade (grades 1 to 9); \n- Percentage of the population ages 30 to 39 that has completed each grade (grades 1 to 9); \n- Percentage of the population ages 40 to 49 that has completed each grade (grades 1 to 9); \n- Median grade attained by the population ages 15 to 19; \n- Survival function estimates of the proportion of the population ages 6 to 19 that has completed each grade; \n- Percentage of the population ages 6 to 17, by age in single years, that has ever attended school; \n- Percentage of the population ages 6 to 17, by age in single years, that is currently in school; \n- Percentage of the population ages 6 to 11 (as a group) that is currently in school; \n- Percentage of the population ages 12 to 14 (as a group) that is currently in school; \n- Percentage of the population ages 6 to 14 (as a group) that is currently in school. \n- Concentration index (and its standard error) of the percentage of the population ages 15 to 19 that has completed grade 6. \n- Concentration index (and its standard error) of the percentage of the population ages 6 to 14 that is currently in school. \n\nEach indicator (except the concentration indexes) is calculated for a variety of subgroups within the population. These are: \n- All; \n- Rural and Urban; \n- Male and Female; \n- Rural\/Urban and Male\/Female interacted; \n- Poverty Quintiles (poorest quintile, quintiles 2, 3, 4 and richest quintile) with welfare rankings derived from an index of consumer durables and housing characteristics; \n- Poverty Groups (Poorest 40 percent; Middle 40 percent; Richest 20 percent) with welfare rankings derived from an index of consumer durables and housing characteristics; \n- The interaction of Poverty Groups and Male\/Female \n\nFor surveys with a consumption-expenditures aggregate variable that can be used to rank households (i.e. the Integrated Household Surveys), the following indicators are also calculated: \n- Expenditure Poverty Quintiles (poorest quintile, quintiles 2, 3, 4 and richest quintile) with welfare rankings derived from per capita household consumption-expenditures; \n- Expenditure Poverty Groups (Poorest 40 percent; Middle 40 percent; Richest 20 percent) with welfare rankings derived from per capita household consumption-expenditures; \n- The interaction of Expenditure Poverty Groups and Male\/Female"},"method":{"data_collection":{"coll_mode":"Other [oth]","coll_situation":"The household survey data sets used to generate the summary statistics are: \n- Demographic and Health Surveys (DHS) (http:\/\/www.measuredhs.com); \n- the Multiple Indicator Cluster Surveys (MICS2) (http:\/\/www.childinfo.org); \n- the Living Standards Measurement Study Surveys (LSMS) (http:\/\/www.worldbank.org\/lsms); \n- other country-specific Integrated Household Surveys (IHS) such as Socio-Economic Surveys."}},"data_access":{"dataset_use":{"cit_req":"If using this database, a suggested reference is: \nFilmer, Deon. 2010. \"Education Attainment and Enrollment around the World: An International Database.\" www.microdata.worldbank.org Accessed MM\/DD\/YYYY.","disclaimer":"The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses."}}}}