World Inequality Database on Education

The World Inequality Database on Education (WIDE) brings together data from Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), national household surveys and learning achievement surveys from over 160 countries to enable users to compare education outcomes between countries, and between groups within countries, according to factors that are associated with inequality, including wealth, gender, ethnicity and location.

Data Resources (1)

Additional Info

Field Value
Dataset topic category
  • Access to education
  • SDG 4 Quality education
Language
  • English
Use limitations You are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially.
Dataset reference date January 19, 2010
Temporal extent's start date January 1, 2000
Temporal extent's end date January 1, 2016
GeoNames
  • Brunei Darussalam
  • Cambodia
  • China
  • Christmas Island
  • Cocos (Keeling) Islands
  • Timor-Leste
  • Hong Kong
  • India
  • Indonesia
  • Japan
  • Korea (Democratic People's Republic of)
  • Korea, Republic of
  • Lao People's Democratic Republic
  • Malaysia
  • Mongolia
  • Myanmar
  • Philippines
  • Singapore
  • Sri Lanka
  • Thailand
  • Viet Nam
Process Step Wealth definitions. All indicators are broken down by a measure of household socioeconomic status, which – for brevity – is referred to as ‘wealth’. Broadly speaking, this is either an index based on housing characteristics and other household assets or a measure of household per capita income/consumption. Households are classified into five groups from the lowest to the highest value of the index or per capita income/consumption. The source of the wealth by survey is described below.  DHS: index based on housing characteristics and assets  EU‐SILC: disposable income  MICS: index based on housing characteristics and assets  CASEN (Chile): index based on housing characteristics    China Family Panel Studies: adjusted net family income  CPS‐ASEC (United States): disposable income  EMNV (Nicaragua): index based on housing characteristics    ENCOVI (Guatemala): index based on housing characteristics  ENEMDU (Ecuador): income  ENIGH (Mexico): index based on housing characteristics and assets  EPH (Argentina): index based on housing characteristics  GHS (South Africa): index based on housing characteristics and assets  HDS (India): income  HES (Israel): disposable income  HES‐SIH (Australia): disposable income  HYS (Morocco): index based on housing characteristics and assets  IHS (Georgia): disposable income  PNAD (Brazil): index based on housing characteristics and assets  RLME‐HSE (Russian Federation): disposable income  SLID (Canada): disposable income  ASER Annual Status of Education Report (India and Pakistan):   index based on housing characteristics, assets, and maternal education  LLECE Laboratorio Latinoamericano de Evaluación de la Calidad de la Educación (SERCE/TERCE): index based on housing characteristics, assets, and parental education  PIRLS Progress in International Reading Literacy Study:   index based on computer, study desk and books at home; and parental education and occupation  PISA Programme for International Student Assessment:   = Economic, social and cultural status index  SACMEQ Southern and Eastern Africa Consortium for Monitoring Educational Quality = Pupil socio‐economic status index  TIMSS Trends in International Mathematics and Science Study:   index based on computer, study desk and books at home; and parental education  UWEZO (citizen led‐assessment learning achievement survey) (Kenya, Tanzania and Uganda): index based on housing characteristics, assets, and maternal education Data note is available at this link: https://1206-unesco-wide.s3.amazonaws.com/About%20WIDE.pdf
Lineage The following data sources have been used: (a) For access and completion indicators – and the youth literacy rate:   International household survey programmes:    DHS Demographic and Health Survey  EU‐SILC European Union Statistics on Income and Living Conditions  MICS Multiple Indicators Cluster Survey National household surveys:    CASEN Encuesta de Caracterización Socioeconómica Nacional (Chile)  CFPS China Family Panel Studies  CPS‐ASEC Current Population Survey ‐ Annual Social and Economic Supplement (United States)*  EMNV Encuesta Nacional de Hogares sobre Medicion del Nivel de Vida (Nicaragua)  ENCOVI Encuesta Nacional de Condiciones de Vida (Guatemala)  ENEMDU Encuesta Nacional de Empleo, Desempleo y Subempleo (Ecuador)  ENIGH Encuesta Nacional de Ingresos y Gastos de los Hogares (Mexico)  EPH Encuesta Permanente de Hogares (Argentina)  GHS General Household Survey (South Africa)  HDS Human Development Survey (India)  HES Household Expenditure Survey (Israel)*  HES‐SIH Household Expenditure Survey – Survey of Income and Housing (Australia)*  HYS Household and Youth Survey (Morocco)  IHS Integrated Household Survey (Georgia)*  PNAD Pesquisa Nacional por Amostra de Domicílios (Brazil)  RLMS‐HSE Russia Longitudinal Monitoring Survey – Higher School of Economics*  SLID Survey of Labour and Income Dynamics* * Access to these studies has been possible through the Luxembourg Income Study cross‐national data centre. (b) For learning indicators:  ASER Annual Status of Education Report (India and Pakistan)  LLECE Laboratorio Latinoamericano de Evaluación de la Calidad de la Educación (SERCE/TERCE)  PIRLS Progress in International Reading Literacy Study  PISA Programme for International Student Assessment  SACMEQ Southern and Eastern Africa Consortium for Monitoring Educational Quality  TIMSS Trends in International Mathematics and Science Study  UWEZO (citizen led‐assessment learning achievement survey) (Kenya, Tanzania and Uganda)
Responsible party UNESCO and Global Education Monitoring Report For further information: gemreport(at)unesco.org
Metadata creator information Data note is available at this link: https://1206-unesco-wide.s3.amazonaws.com/About%20WIDE.pdf
License CC-BY-3.0-IGO
Copyright No
Version 2016
Keywords education,equality
Date uploaded March 8, 2018, 10:18 (UTC)
Date modified March 9, 2018, 04:29 (UTC)