Education Attainment and Enrollment around the World

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Patterns of educational attainment vary greatly across countries, and across population groups within countries. In some countries, virtually all children complete basic education whereas in others large groups fall short. The primary purpose of this database, and the associated research program, is to document and analyze these differences using a compilation of a variety of household-based data sets: Demographic and Health Surveys (DHS); Multiple Indicator Cluster Surveys (MICS); Living Standards Measurement Study Surveys (LSMS); as well as country-specific Integrated Household Surveys (IHS) such as Socio-Economic Surveys.

As shown at the website associated with this database, there are dramatic differences in attainment by wealth. When households are ranked according to their wealth status (or more precisely, a proxy based on the assets owned by members of the household) there are striking differences in the attainment patterns of children from the richest 20 percent compared to the poorest 20 percent.

In Mali in 2012 only 34 percent of 15 to 19 year olds in the poorest quintile have completed grade 1 whereas 80 percent of the richest quintile have done so. In many countries, for example Pakistan, Peru and Indonesia, almost all the children from the wealthiest households have completed at least one year of schooling. In some countries, like Mali and Pakistan, wealth gaps are evident from grade 1 on, in other countries, like Peru and Indonesia, wealth gaps emerge later in the school system.
The EdAttain website allows a visual exploration of gaps in attainment and enrollment within and across countries, based on the international database which spans multiple years from over 120 countries and includes indicators disaggregated by wealth, gender and urban/rural location. The database underlying that site can be downloaded from here.

Type: 
Time Series
Acronym: 
EdAttain
Languages Supported: 
English
External Contact Email: 
Topics: 
Education
Granularity: 
Geographical Coverage: 
East Asia & Pacific
American Samoa
Australia
Brunei Darussalam
Cambodia
China
Cook Islands
Fiji
French Polynesia
Guam
Hong Kong SAR, China
Indonesia
Japan
Kiribati
Korea, Dem. People's Rep.
Korea, Rep.
Lao PDR
Macao SAR, China
Malaysia
Marshall Islands
Micronesia, Fed. Sts.
Mongolia
Myanmar
Nauru
New Caledonia
New Zealand
Niue
Northern Mariana Islands
Palau
Papua New Guinea
Philippines
Samoa
Singapore
Solomon Islands
Taiwan, China
Thailand
Timor-Leste
Tonga
Tuvalu
Vanuatu
Vietnam
Europe & Central Asia
Albania
Andorra
Armenia
Austria
Azerbaijan
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Channel Islands
Croatia
Cyprus
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Georgia
Germany
Gibraltar
Greece
Greenland
Hungary
Iceland
Ireland
Isle of Man
Italy
Kazakhstan
Kosovo
Kyrgyz Republic
Latvia
Liechtenstein
Lithuania
Luxembourg
North Macedonia
Moldova
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovak Republic
Slovenia
Spain
Sweden
Switzerland
Tajikistan
Turkey
Turkmenistan
Ukraine
United Kingdom
Uzbekistan
Latin America & Caribbean
Anguilla
Antigua and Barbuda
Aruba
Argentina
Bahamas, The
Barbados
Belize
Bolivia
Brazil
British Virgin Islands
Cayman Islands
Chile
Costa Rica
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
El Salvador
Grenada
Guatemala
Guyana
Haiti
Honduras
Jamaica
Martinique
Mexico
Montserrat
Nicaragua
Panama
Paraguay
Netherlands Antilles
Peru
Puerto Rico
Sint Maarten (Dutch part)
St. Barthélemy
St. Kitts and Nevis
St. Martin (French part)
St. Lucia
St. Vincent and the Grenadines
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela, RB
Virgin Islands (U.S.)
Middle East & North Africa
Algeria
Bahrain
Egypt, Arab Rep.
Djibouti
Iraq
Iran, Islamic Rep.
Israel
Jordan
Kuwait
Lebanon
Libya
Malta
Morocco
Oman
Qatar
Saudi Arabia
Syrian Arab Republic
West Bank and Gaza
United Arab Emirates
Tunisia
Yemen, Rep.
North America
Bermuda
Canada
United States
South Asia
Afghanistan
Bangladesh
Bhutan
India
Pakistan
Nepal
Maldives
Sri Lanka
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo, Dem. Rep.
Congo, Rep.
Côte d'Ivoire
Ethiopia
Eritrea
Equatorial Guinea
Gabon
Gambia, The
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mozambique
Namibia
Niger
Nigeria
Reunion
Rwanda
São Tomé and Principe
Seychelles
Senegal
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Eswatini
Tanzania
Togo
Uganda
Zambia
Zimbabwe
Economy Coverage: 
Blend
IBRD
IDA
Low Income
Lower Middle Income
Upper Middle Income
Number of Economies: 
120
Periodicity: 
Other
Temporal Coverage: 
1981 - 2017
Release Date: 
November 7, 2018

Last Updated

Last Updated: 
September 11, 2019

Update Frequency

Update Frequency: 
Annually +
Access Options:
Download
Time Periods: 
September, 2019

No Visualizations Available.

Education Attainment and Enrollment around the World: An International Database, The World Bank

2011

Assessing Asset Indices. In: Demography. 2011. 49(1):359-392: Deon Filmer and Kinnon Scott; 2011. Available at: https://link.springer.com/article/10.1007/s13524-011-0077-5#.

2008

Girls' Education in the 21st Century : Gender Equality, Empowerment, and Economic Growth. The World Bank: Deon Filmer in Mercy Tembon and Louise Fort (eds.), Washington DC; 2008. Available at: https://openknowledge.worldbank.org/handle/10986/6554.

2007

2006

2001

1999

Patterns of educational attainment vary greatly across countries, and across population groups within countries. In some countries, virtually all children complete basic education whereas in others large groups fall short. The primary purpose of this database, and the associated research program, is to document and analyze these differences using a compilation of a variety of household-based data sets: Demographic and Health Surveys (DHS); Multiple Indicator Cluster Surveys (MICS); Living Standards Measurement Study Surveys (LSMS); as well as country-specific Integrated Household Surveys (IHS) such as Socio-Economic Surveys.

As shown at the website associated with this database, there are dramatic differences in attainment by wealth. When households are ranked according to their wealth status (or more precisely, a proxy based on the assets owned by members of the household) there are striking differences in the attainment patterns of children from the richest 20 percent compared to the poorest 20 percent.

In Mali in 2012 only 34 percent of 15 to 19 year olds in the poorest quintile have completed grade 1 whereas 80 percent of the richest quintile have done so. In many countries, for example Pakistan, Peru and Indonesia, almost all the children from the wealthiest households have completed at least one year of schooling. In some countries, like Mali and Pakistan, wealth gaps are evident from grade 1 on, in other countries, like Peru and Indonesia, wealth gaps emerge later in the school system.
The EdAttain website allows a visual exploration of gaps in attainment and enrollment within and across countries, based on the international database which spans multiple years from over 120 countries and includes indicators disaggregated by wealth, gender and urban/rural location. The database underlying that site can be downloaded from here.

FieldValue
Modified Date
2019-09-12
Release Date
Periodicity
Other
Identifier
0872ac85-926b-41fa-bc2e-205e45d434bf
Temporal Coverage

1981 - 2017

License
License Not Specified
Contact Email
Public Access Level
Public
Rating: 
4
Average: 4 (1 vote)
Acronym: 
EdAttain
Type: 
Languages Supported: 
Time Periods: 
September, 2019
Number of Economies: 
120
Update Frequency: 
Geographical Coverage: 
Data Classification of a Dataset: 
Start Date: 
Thursday, January 1, 1981
End Date: 
Sunday, December 31, 2017
DEC
Programatic Region: 
Release Date: 
Wednesday, November 7, 2018
Last Updated Date: 
Wednesday, September 11, 2019
citation text: 
Assessing Asset Indices
External Contact Email: 
Granularity: 
Citation Text: 
Education Attainment and Enrollment around the World: An International Database, The World Bank
Modified date: 
18149
Primary Dataset: 
Yes

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CC-BY 4.0

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