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data-diff: ❌ Found differences= Dataset garden/education/2023-07-17/education_barro_lee_projections
= Table education_barro_lee_projections
~ Dim country
+ + New values: 302 / 12248 (2.47%)
year country
2006 Central Asia (UIS)
2008 Latin America and the Caribbean (UIS)
2011 North America and Western Europe (UIS)
1998 Small Island Developing States (UIS)
2001 Small Island Developing States (UIS)
~ Dim year
+ + New values: 302 / 12248 (2.47%)
country year
Central Asia (UIS) 2006
Latin America and the Caribbean (UIS) 2008
North America and Western Europe (UIS) 2011
Small Island Developing States (UIS) 1998
Small Island Developing States (UIS) 2001
~ Column f_adults__25_64_years__percentage_of_no_education (new data)
+ + New values: 302 / 12248 (2.47%)
country year f_adults__25_64_years__percentage_of_no_education
Central Asia (UIS) 2006 <NA>
Latin America and the Caribbean (UIS) 2008 <NA>
North America and Western Europe (UIS) 2011 <NA>
Small Island Developing States (UIS) 1998 <NA>
Small Island Developing States (UIS) 2001 <NA>
~ Column f_youth_and_adults__15_64_years__average_years_of_education (new data)
+ + New values: 302 / 12248 (2.47%)
country year f_youth_and_adults__15_64_years__average_years_of_education
Central Asia (UIS) 2006 <NA>
Latin America and the Caribbean (UIS) 2008 <NA>
North America and Western Europe (UIS) 2011 <NA>
Small Island Developing States (UIS) 1998 <NA>
Small Island Developing States (UIS) 2001 <NA>
~ Column f_youth_and_adults__15_64_years__percentage_of_no_education (new data)
+ + New values: 302 / 12248 (2.47%)
country year f_youth_and_adults__15_64_years__percentage_of_no_education
Central Asia (UIS) 2006 <NA>
Latin America and the Caribbean (UIS) 2008 <NA>
North America and Western Europe (UIS) 2011 <NA>
Small Island Developing States (UIS) 1998 <NA>
Small Island Developing States (UIS) 2001 <NA>
~ Column female_over_male_average_years_of_schooling (new data)
+ + New values: 302 / 12248 (2.47%)
country year female_over_male_average_years_of_schooling
Central Asia (UIS) 2006 <NA>
Latin America and the Caribbean (UIS) 2008 <NA>
North America and Western Europe (UIS) 2011 <NA>
Small Island Developing States (UIS) 1998 <NA>
Small Island Developing States (UIS) 2001 <NA>
~ Column female_over_male_share_some_formal_education (new data)
+ + New values: 302 / 12248 (2.47%)
country year female_over_male_share_some_formal_education
Central Asia (UIS) 2006 <NA>
Latin America and the Caribbean (UIS) 2008 <NA>
North America and Western Europe (UIS) 2011 <NA>
Small Island Developing States (UIS) 1998 <NA>
Small Island Developing States (UIS) 2001 <NA>
~ Column female_over_male_share_with_no_education (new data)
+ + New values: 302 / 12248 (2.47%)
country year female_over_male_share_with_no_education
Central Asia (UIS) 2006 <NA>
Latin America and the Caribbean (UIS) 2008 <NA>
North America and Western Europe (UIS) 2011 <NA>
Small Island Developing States (UIS) 1998 <NA>
Small Island Developing States (UIS) 2001 <NA>
~ Column mf_adults__25_64_years__percentage_of_tertiary_education (new data)
+ + New values: 302 / 12248 (2.47%)
country year mf_adults__25_64_years__percentage_of_tertiary_education
Central Asia (UIS) 2006 <NA>
Latin America and the Caribbean (UIS) 2008 <NA>
North America and Western Europe (UIS) 2011 <NA>
Small Island Developing States (UIS) 1998 <NA>
Small Island Developing States (UIS) 2001 <NA>
~ Column mf_youth_and_adults__15_64_years__average_years_of_education (new data)
+ + New values: 302 / 12248 (2.47%)
country year mf_youth_and_adults__15_64_years__average_years_of_education
Central Asia (UIS) 2006 <NA>
Latin America and the Caribbean (UIS) 2008 <NA>
North America and Western Europe (UIS) 2011 <NA>
Small Island Developing States (UIS) 1998 <NA>
Small Island Developing States (UIS) 2001 <NA>
~ Column mf_youth_and_adults__15_64_years__percentage_of_no_education (new data)
+ + New values: 302 / 12248 (2.47%)
country year mf_youth_and_adults__15_64_years__percentage_of_no_education
Central Asia (UIS) 2006 <NA>
Latin America and the Caribbean (UIS) 2008 <NA>
North America and Western Europe (UIS) 2011 <NA>
Small Island Developing States (UIS) 1998 <NA>
Small Island Developing States (UIS) 2001 <NA>
~ Column some_formal_education_both_sexes (new data)
+ + New values: 302 / 12248 (2.47%)
country year some_formal_education_both_sexes
Central Asia (UIS) 2006 <NA>
Latin America and the Caribbean (UIS) 2008 <NA>
North America and Western Europe (UIS) 2011 <NA>
Small Island Developing States (UIS) 1998 <NA>
Small Island Developing States (UIS) 2001 <NA>
~ Column some_formal_education_female (new data)
+ + New values: 302 / 12248 (2.47%)
country year some_formal_education_female
Central Asia (UIS) 2006 <NA>
Latin America and the Caribbean (UIS) 2008 <NA>
North America and Western Europe (UIS) 2011 <NA>
Small Island Developing States (UIS) 1998 <NA>
Small Island Developing States (UIS) 2001 <NA>
~ Column some_formal_education_male (new data)
+ + New values: 302 / 12248 (2.47%)
country year some_formal_education_male
Central Asia (UIS) 2006 <NA>
Latin America and the Caribbean (UIS) 2008 <NA>
North America and Western Europe (UIS) 2011 <NA>
Small Island Developing States (UIS) 1998 <NA>
Small Island Developing States (UIS) 2001 <NA>
~ Dataset garden/education/2023-07-17/education_lee_lee
- - title: Human Capital in the Long Run (Lee and Lee 2016) and WDI (World Bank)
? ^^^^
+ + title: Human Capital in the Long Run (Lee and Lee 2016), WDI (World Bank) and UNESCO
? ^ +++++++++++
= Table education_lee_lee
~ Dim country
+ + New values: 509 / 13438 (3.79%)
year country
2015 Central Asia (UIS)
2001 Central and Eastern Europe (UIS)
2023 Guyana
2023 Montenegro
2023 Nepal
~ Dim year
+ + New values: 509 / 13438 (3.79%)
country year
Central Asia (UIS) 2015
Central and Eastern Europe (UIS) 2001
Guyana 2023
Montenegro 2023
Nepal 2023
~ Column f_adults__25_64_years__percentage_of_no_education (new data)
+ + New values: 509 / 13438 (3.79%)
country year f_adults__25_64_years__percentage_of_no_education
Central Asia (UIS) 2015 <NA>
Central and Eastern Europe (UIS) 2001 <NA>
Guyana 2023 <NA>
Montenegro 2023 <NA>
Nepal 2023 <NA>
~ Column f_primary_enrollment_rates_combined_wb (changed metadata, new data, changed data)
+ + Total number of female students of the official age group for primary education who are enrolled in any level of education, expressed as a percentage of the corresponding female population. Divide the total number of female students in the official school age range for primary education who are enrolled in any level of education by the female population of the same age group and multiply the result by 100. The difference between the total NER and the adjusted NER provides a measure of the proportion of children in the official relevant school age group who are enrolled in levels of education below the one intended for their age. The difference between the total NER and the adjusted NER for primary education is due to enrolment in pre-primary education. The total NER should be based on total enrolment of the official relevant school age group in any level of education for all types of schools and education institutions, including public, private and all other institutions that provide organized educational programmes.
- - 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.
- -
- - Limitations and exceptions: Enrollment indicators are based on annual school surveys, but do not necessarily reflect actual attendance or dropout rates during the year. Also, the length of education differs across countries and can influence enrollment rates, although the International Standard Classification of Education (ISCED) tries to minimize the difference. For example, a shorter duration for primary education tends to increase the rate; a longer one to decrease it (in part because older children are more at risk of dropping out). Moreover, age at enrollment may be inaccurately estimated or misstated, especially in communities where registration of births is not strictly enforced.
- -
- - Statistical concept and methodology: Net enrollment rate for primary school is calculated by dividing the number of students of official school age enrolled in primary education by the population of the age group which officially corresponds to primary education, and multiplying by 100.
- -
- - Data on education are collected by the UNESCO Institute for Statistics from official responses to its annual education survey. All the data are mapped to the International Standard Classification of Education (ISCED) to ensure the comparability of education programs at the international level. The current version was formally adopted by UNESCO Member States in 2011. Population data are drawn from the United Nations Population Division. Using a single source for population data standardizes definitions, estimations, and interpolation methods, ensuring a consistent methodology across countries and minimizing potential enumeration problems in national censuses.
- -
- - The reference years reflect the school year for which the data are presented. In some countries the school year spans two calendar years (for example, from September 2010 to June 2011); in these cases the reference year refers to the year in which the school year ended (2011 in the example).
- - - producer: UNESCO (via World Bank)
- - title: World Development Indicators
+ + - producer: UNESCO Institute for Statistics
+ + title: UNESCO Institute for Statistics (UIS) - Enrolment Rates (OPRI)
- - The World Development Indicators (WDI) is the primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates.
- - citation_full: World Bank's World Development Indicators (WDI).
- - attribution: Multiple sources compiled by World Bank (2024)
- - url_main: https://datacatalog.worldbank.org/search/dataset/0037712/World-Development-Indicators
- - url_download: http://databank.worldbank.org/data/download/WDI_csv.zip
+ + The UNESCO Institute for Statistics (UIS) is the official and trusted source of internationally-comparable data on education, science, culture and communication. As the official statistical agency of UNESCO, the UIS produces a wide range of state-of-the-art databases to fuel the policies and investments needed to transform lives and propel the world towards its development goals. The UIS provides free access to data for all UNESCO countries and regional groupings from 1970 to the most recent year available.
+ + title_snapshot: UNESCO Institute for Statistics (UIS) - Enrolment Rates (OPRI)
+ + description_snapshot: This snapshot is for the most recent enrolment rates data from the Other Policy Relevant Indicators
+ + dataset.
+ + citation_full: UNESCO Institute for Statistics (UIS), Education, https://uis.unesco.org/bdds, 2024
+ + attribution_short: UIS
+ + url_main: https://data.uis.unesco.org/index.aspx?queryid=3813
- - date_accessed: '2024-05-20'
? ^^ ^
+ + date_accessed: '2024-11-21'
? ^^ ^
- - date_published: '2024-05-20'
? ^ -
+ + date_published: '2024-02-01'
? ^ +
- - name: Creative Commons Attribution 4.0
+ + name: CC BY 3.0 IGO
+ + url: http://creativecommons.org/licenses/by-sa/3.0/igo/
+ + New values: 509 / 13438 (3.79%)
country year f_primary_enrollment_rates_combined_wb
Central Asia (UIS) 2015 96.404579
Central and Eastern Europe (UIS) 2001 96.79261
Guyana 2023 85.362259
Montenegro 2023 <NA>
Nepal 2023 <NA>
~ Changed values: 3945 / 13438 (29.36%)
country year f_primary_enrollment_rates_combined_wb - f_primary_enrollment_rates_combined_wb +
France 1989 <NA> 99.389931
Middle East and North Africa (WB) 1999 78.795807 <NA>
South Africa 2017 86.703827 99.131348
United Kingdom 2018 <NA> 99.59491
Zambia 1988 78.211403 79.891533
~ Column f_secondary_enrollment_rates_combined_wb (new data)
+ + New values: 509 / 13438 (3.79%)
country year f_secondary_enrollment_rates_combined_wb
Central Asia (UIS) 2015 <NA>
Central and Eastern Europe (UIS) 2001 <NA>
Guyana 2023 <NA>
Montenegro 2023 <NA>
Nepal 2023 <NA>
~ Column f_tertiary_enrollment_rates_combined_wb (new data)
+ + New values: 509 / 13438 (3.79%)
country year f_tertiary_enrollment_rates_combined_wb
Central Asia (UIS) 2015 <NA>
Central and Eastern Europe (UIS) 2001 <NA>
Guyana 2023 <NA>
Montenegro 2023 <NA>
Nepal 2023 <NA>
~ Column f_youth_and_adults__15_64_years__average_years_of_education (new data)
+ + New values: 509 / 13438 (3.79%)
country year f_youth_and_adults__15_64_years__average_years_of_education
Central Asia (UIS) 2015 <NA>
Central and Eastern Europe (UIS) 2001 <NA>
Guyana 2023 <NA>
Montenegro 2023 <NA>
Nepal 2023 <NA>
~ Column f_youth_and_adults__15_64_years__percentage_of_no_education (new data)
+ + New values: 509 / 13438 (3.79%)
country year f_youth_and_adults__15_64_years__percentage_of_no_education
Central Asia (UIS) 2015 <NA>
Central and Eastern Europe (UIS) 2001 <NA>
Guyana 2023 <NA>
Montenegro 2023 <NA>
Nepal 2023 <NA>
~ Column female_over_male_enrollment_rates_primary (changed metadata, new data, changed data)
- - description_from_producer: |-
- - 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.
- -
- - Limitations and exceptions: Enrollment indicators are based on annual school surveys, but do not necessarily reflect actual attendance or dropout rates during the year. Also, the length of education differs across countries and can influence enrollment rates, although the International Standard Classification of Education (ISCED) tries to minimize the difference. For example, a shorter duration for primary education tends to increase the rate; a longer one to decrease it (in part because older children are more at risk of dropping out). Moreover, age at enrollment may be inaccurately estimated or misstated, especially in communities where registration of births is not strictly enforced.
- -
- - Statistical concept and methodology: Net enrollment rate for primary school is calculated by dividing the number of students of official school age enrolled in primary education by the population of the age group which officially corresponds to primary education, and multiplying by 100.
- -
- - Data on education are collected by the UNESCO Institute for Statistics from official responses to its annual education survey. All the data are mapped to the International Standard Classification of Education (ISCED) to ensure the comparability of education programs at the international level. The current version was formally adopted by UNESCO Member States in 2011. Population data are drawn from the United Nations Population Division. Using a single source for population data standardizes definitions, estimations, and interpolation methods, ensuring a consistent methodology across countries and minimizing potential enumeration problems in national censuses.
- -
- - The reference years reflect the school year for which the data are presented. In some countries the school year spans two calendar years (for example, from September 2010 to June 2011); in these cases the reference year refers to the year in which the school year ended (2011 in the example).
- - - producer: UNESCO (via World Bank)
- - title: World Development Indicators
+ + - producer: UNESCO Institute for Statistics
+ + title: UNESCO Institute for Statistics (UIS) - Enrolment Rates (OPRI)
- - The World Development Indicators (WDI) is the primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates.
- - citation_full: World Bank's World Development Indicators (WDI).
- - attribution: Multiple sources compiled by World Bank (2024)
- - url_main: https://datacatalog.worldbank.org/search/dataset/0037712/World-Development-Indicators
- - url_download: http://databank.worldbank.org/data/download/WDI_csv.zip
+ + The UNESCO Institute for Statistics (UIS) is the official and trusted source of internationally-comparable data on education, science, culture and communication. As the official statistical agency of UNESCO, the UIS produces a wide range of state-of-the-art databases to fuel the policies and investments needed to transform lives and propel the world towards its development goals. The UIS provides free access to data for all UNESCO countries and regional groupings from 1970 to the most recent year available.
+ + title_snapshot: UNESCO Institute for Statistics (UIS) - Enrolment Rates (OPRI)
+ + description_snapshot: This snapshot is for the most recent enrolment rates data from the Other Policy Relevant Indicators
+ + dataset.
+ + citation_full: UNESCO Institute for Statistics (UIS), Education, https://uis.unesco.org/bdds, 2024
+ + attribution_short: UIS
+ + url_main: https://data.uis.unesco.org/index.aspx?queryid=3813
- - date_accessed: '2024-05-20'
? ^^ ^
+ + date_accessed: '2024-11-21'
? ^^ ^
- - date_published: '2024-05-20'
? ^ -
+ + date_published: '2024-02-01'
? ^ +
- - name: Creative Commons Attribution 4.0
+ + name: CC BY 3.0 IGO
+ + url: http://creativecommons.org/licenses/by-sa/3.0/igo/
+ + New values: 509 / 13438 (3.79%)
country year female_over_male_enrollment_rates_primary
Central Asia (UIS) 2015 0.990852
Central and Eastern Europe (UIS) 2001 0.982044
Guyana 2023 0.986953
Montenegro 2023 <NA>
Nepal 2023 <NA>
~ Changed values: 3945 / 13438 (29.36%)
country year female_over_male_enrollment_rates_primary - female_over_male_enrollment_rates_primary +
France 1990 <NA> 0.998653
Middle East and North Africa (WB) 1999 0.905869 <NA>
South Africa 2017 0.992998 1.063822
United Kingdom 2018 <NA> 1.000736
Zambia 1988 0.974865 0.947511
~ Column female_over_male_enrollment_rates_secondary (new data)
+ + New values: 509 / 13438 (3.79%)
country year female_over_male_enrollment_rates_secondary
Central Asia (UIS) 2015 <NA>
Central and Eastern Europe (UIS) 2001 <NA>
Guyana 2023 <NA>
Montenegro 2023 <NA>
Nepal 2023 <NA>
~ Column female_over_male_enrollment_rates_tertiary (new data)
+ + New values: 509 / 13438 (3.79%)
country year female_over_male_enrollment_rates_tertiary
Central Asia (UIS) 2015 <NA>
Central and Eastern Europe (UIS) 2001 <NA>
Guyana 2023 <NA>
Montenegro 2023 <NA>
Nepal 2023 <NA>
~ Column m_primary_enrollment_rates_combined_wb (changed metadata, new data, changed data)
+ + Total number of male students of the official age group for primary education who are enrolled in any level of education, expressed as a percentage of the corresponding male population. Divide the total number of male students in the official school age range for primary education who are enrolled in any level of education by the male population of the same age group and multiply the result by 100. The difference between the total NER and the adjusted NER provides a measure of the proportion of children in the official relevant school age group who are enrolled in levels of education below the one intended for their age. The difference between the total NER and the adjusted NER for primary education is due to enrolment in pre-primary education. The total NER should be based on total enrolment of the official relevant school age group in any level of education for all types of schools and education institutions, including public, private and all other institutions that provide organized educational programmes.
- - 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.
- -
- - Limitations and exceptions: Enrollment indicators are based on annual school surveys, but do not necessarily reflect actual attendance or dropout rates during the year. Also, the length of education differs across countries and can influence enrollment rates, although the International Standard Classification of Education (ISCED) tries to minimize the difference. For example, a shorter duration for primary education tends to increase the rate; a longer one to decrease it (in part because older children are more at risk of dropping out). Moreover, age at enrollment may be inaccurately estimated or misstated, especially in communities where registration of births is not strictly enforced.
- -
- - Statistical concept and methodology: Net enrollment rate for primary school is calculated by dividing the number of students of official school age enrolled in primary education by the population of the age group which officially corresponds to primary education, and multiplying by 100.
- -
- - Data on education are collected by the UNESCO Institute for Statistics from official responses to its annual education survey. All the data are mapped to the International Standard Classification of Education (ISCED) to ensure the comparability of education programs at the international level. The current version was formally adopted by UNESCO Member States in 2011. Population data are drawn from the United Nations Population Division. Using a single source for population data standardizes definitions, estimations, and interpolation methods, ensuring a consistent methodology across countries and minimizing potential enumeration problems in national censuses.
- -
- - The reference years reflect the school year for which the data are presented. In some countries the school year spans two calendar years (for example, from September 2010 to June 2011); in these cases the reference year refers to the year in which the school year ended (2011 in the example).
- - - producer: UNESCO (via World Bank)
- - title: World Development Indicators
+ + - producer: UNESCO Institute for Statistics
+ + title: UNESCO Institute for Statistics (UIS) - Enrolment Rates (OPRI)
- - The World Development Indicators (WDI) is the primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates.
- - citation_full: World Bank's World Development Indicators (WDI).
- - attribution: Multiple sources compiled by World Bank (2024)
- - url_main: https://datacatalog.worldbank.org/search/dataset/0037712/World-Development-Indicators
- - url_download: http://databank.worldbank.org/data/download/WDI_csv.zip
+ + The UNESCO Institute for Statistics (UIS) is the official and trusted source of internationally-comparable data on education, science, culture and communication. As the official statistical agency of UNESCO, the UIS produces a wide range of state-of-the-art databases to fuel the policies and investments needed to transform lives and propel the world towards its development goals. The UIS provides free access to data for all UNESCO countries and regional groupings from 1970 to the most recent year available.
+ + title_snapshot: UNESCO Institute for Statistics (UIS) - Enrolment Rates (OPRI)
+ + description_snapshot: This snapshot is for the most recent enrolment rates data from the Other Policy Relevant Indicators
+ + dataset.
+ + citation_full: UNESCO Institute for Statistics (UIS), Education, https://uis.unesco.org/bdds, 2024
+ + attribution_short: UIS
+ + url_main: https://data.uis.unesco.org/index.aspx?queryid=3813
- - date_accessed: '2024-05-20'
? ^^ ^
+ + date_accessed: '2024-11-21'
? ^^ ^
- - date_published: '2024-05-20'
? ^ -
+ + date_published: '2024-02-01'
? ^ +
- - name: Creative Commons Attribution 4.0
+ + name: CC BY 3.0 IGO
+ + url: http://creativecommons.org/licenses/by-sa/3.0/igo/
+ + New values: 509 / 13438 (3.79%)
country year m_primary_enrollment_rates_combined_wb
Central Asia (UIS) 2015 97.294594
Central and Eastern Europe (UIS) 2001 98.562401
Guyana 2023 86.490707
Montenegro 2023 <NA>
Nepal 2023 <NA>
~ Changed values: 3946 / 13438 (29.36%)
country year m_primary_enrollment_rates_combined_wb - m_primary_enrollment_rates_combined_wb +
France 1989 <NA> 99.06266
Malaysia 2012 98.206779 95.817261
Panama 2017 86.558968 87.219818
South Africa 2017 87.315224 93.184174
United Kingdom 2018 <NA> 99.521622
~ Column m_secondary_enrollment_rates_combined_wb (new data)
+ + New values: 509 / 13438 (3.79%)
country year m_secondary_enrollment_rates_combined_wb
Central Asia (UIS) 2015 <NA>
Central and Eastern Europe (UIS) 2001 <NA>
Guyana 2023 <NA>
Montenegro 2023 <NA>
Nepal 2023 <NA>
~ Column m_tertiary_enrollment_rates_combined_wb (new data)
+ + New values: 509 / 13438 (3.79%)
country year m_tertiary_enrollment_rates_combined_wb
Central Asia (UIS) 2015 <NA>
Central and Eastern Europe (UIS) 2001 <NA>
Guyana 2023 <NA>
Montenegro 2023 <NA>
Nepal 2023 <NA>
~ Column mf_adults__25_64_years__percentage_of_tertiary_education (new data)
+ + New values: 509 / 13438 (3.79%)
country year mf_adults__25_64_years__percentage_of_tertiary_education
Central Asia (UIS) 2015 <NA>
Central and Eastern Europe (UIS) 2001 <NA>
Guyana 2023 <NA>
Montenegro 2023 <NA>
Nepal 2023 <NA>
~ Column mf_primary_enrollment_rates_combined_wb (changed metadata, new data, changed data)
+ + Total number of students of the official age group for primary education who are enrolled in any level of education, expressed as a percentage of the corresponding population. Divide the total number of students in the official school age range for primary education who are enrolled in any level of education by the population of the same age group and multiply the result by 100. The difference between the total NER and the adjusted NER provides a measure of the proportion of children in the official relevant school age group who are enrolled in levels of education below the one intended for their age. The difference between the total NER and the adjusted NER for primary education is due to enrolment in pre-primary education. The total NER should be based on total enrolment of the official relevant school age group in any level of education for all types of schools and education institutions, including public, private and all other institutions that provide organized educational programmes.
- - 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.
- -
- - Limitations and exceptions: Enrollment indicators are based on annual school surveys, but do not necessarily reflect actual attendance or dropout rates during the year. Also, the length of education differs across countries and can influence enrollment rates, although the International Standard Classification of Education (ISCED) tries to minimize the difference. For example, a shorter duration for primary education tends to increase the rate; a longer one to decrease it (in part because older children are more at risk of dropping out). Moreover, age at enrollment may be inaccurately estimated or misstated, especially in communities where registration of births is not strictly enforced.
- -
- - Statistical concept and methodology: Net enrollment rate for primary school is calculated by dividing the number of students of official school age enrolled in primary education by the population of the age group which officially corresponds to primary education, and multiplying by 100.
- -
- - Data on education are collected by the UNESCO Institute for Statistics from official responses to its annual education survey. All the data are mapped to the International Standard Classification of Education (ISCED) to ensure the comparability of education programs at the international level. The current version was formally adopted by UNESCO Member States in 2011. Population data are drawn from the United Nations Population Division. Using a single source for population data standardizes definitions, estimations, and interpolation methods, ensuring a consistent methodology across countries and minimizing potential enumeration problems in national censuses.
- -
- - The reference years reflect the school year for which the data are presented. In some countries the school year spans two calendar years (for example, from September 2010 to June 2011); in these cases the reference year refers to the year in which the school year ended (2011 in the example).
- - - producer: UNESCO (via World Bank)
- - title: World Development Indicators
+ + - producer: UNESCO Institute for Statistics
+ + title: UNESCO Institute for Statistics (UIS) - Enrolment Rates (OPRI)
- - The World Development Indicators (WDI) is the primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates.
- - citation_full: World Bank's World Development Indicators (WDI).
- - attribution: Multiple sources compiled by World Bank (2024)
- - url_main: https://datacatalog.worldbank.org/search/dataset/0037712/World-Development-Indicators
- - url_download: http://databank.worldbank.org/data/download/WDI_csv.zip
+ + The UNESCO Institute for Statistics (UIS) is the official and trusted source of internationally-comparable data on education, science, culture and communication. As the official statistical agency of UNESCO, the UIS produces a wide range of state-of-the-art databases to fuel the policies and investments needed to transform lives and propel the world towards its development goals. The UIS provides free access to data for all UNESCO countries and regional groupings from 1970 to the most recent year available.
+ + title_snapshot: UNESCO Institute for Statistics (UIS) - Enrolment Rates (OPRI)
+ + description_snapshot: This snapshot is for the most recent enrolment rates data from the Other Policy Relevant Indicators
+ + dataset.
+ + citation_full: UNESCO Institute for Statistics (UIS), Education, https://uis.unesco.org/bdds, 2024
+ + attribution_short: UIS
+ + url_main: https://data.uis.unesco.org/index.aspx?queryid=3813
- - date_accessed: '2024-05-20'
? ^^ ^
+ + date_accessed: '2024-11-21'
? ^^ ^
- - date_published: '2024-05-20'
? ^ -
+ + date_published: '2024-02-01'
? ^ +
- - name: Creative Commons Attribution 4.0
+ + name: CC BY 3.0 IGO
+ + url: http://creativecommons.org/licenses/by-sa/3.0/igo/
+ + New values: 509 / 13438 (3.79%)
country year mf_primary_enrollment_rates_combined_wb
Central Asia (UIS) 2015 96.862823
Central and Eastern Europe (UIS) 2001 97.699028
Guyana 2023 85.9347
Montenegro 2023 99.78167
Nepal 2023 96.399101
~ Changed values: 4892 / 13438 (36.40%)
country year mf_primary_enrollment_rates_combined_wb - mf_primary_enrollment_rates_combined_wb +
Cape Verde 1987 97.084167 83.054008
East Timor 2010 89.508469 94.052139
Estonia 2017 93.68129 97.58741
North Macedonia 2022 <NA> 97.036438
Tunisia 2017 <NA> 99.089203
~ Column mf_secondary_enrollment_rates_combined_wb (new data)
+ + New values: 509 / 13438 (3.79%)
country year mf_secondary_enrollment_rates_combined_wb
Central Asia (UIS) 2015 <NA>
Central and Eastern Europe (UIS) 2001 <NA>
Guyana 2023 <NA>
Montenegro 2023 <NA>
Nepal 2023 <NA>
~ Column mf_tertiary_enrollment_rates_combined_wb (new data)
+ + New values: 509 / 13438 (3.79%)
country year mf_tertiary_enrollment_rates_combined_wb
Central Asia (UIS) 2015 <NA>
Central and Eastern Europe (UIS) 2001 <NA>
Guyana 2023 <NA>
Montenegro 2023 <NA>
Nepal 2023 <NA>
~ Column mf_youth_and_adults__15_64_years__average_years_of_education (new data)
+ + New values: 509 / 13438 (3.79%)
country year mf_youth_and_adults__15_64_years__average_years_of_education
Central Asia (UIS) 2015 <NA>
Central and Eastern Europe (UIS) 2001 <NA>
Guyana 2023 <NA>
Montenegro 2023 <NA>
Nepal 2023 <NA>
~ Column mf_youth_and_adults__15_64_years__percentage_of_no_education (new data)
+ + New values: 509 / 13438 (3.79%)
country year mf_youth_and_adults__15_64_years__percentage_of_no_education
Central Asia (UIS) 2015 <NA>
Central and Eastern Europe (UIS) 2001 <NA>
Guyana 2023 <NA>
Montenegro 2023 <NA>
Nepal 2023 <NA>
+ Dataset garden/unesco/2024-11-21/enrolment_rates
+ + Table enrolment_rates
+ + Column total_net_enrolment_rate__lower_secondary__both_sexes__pct
+ + Column total_net_enrolment_rate__lower_secondary__female__pct
+ + Column total_net_enrolment_rate__lower_secondary__male__pct
+ + Column total_net_enrolment_rate__primary__both_sexes__pct
+ + Column total_net_enrolment_rate__primary__female__pct
+ + Column total_net_enrolment_rate__primary__male__pct
+ + Column total_net_enrolment_rate__upper_secondary__both_sexes__pct
+ + Column total_net_enrolment_rate__upper_secondary__female__pct
+ + Column total_net_enrolment_rate__upper_secondary__male__pct
Legend: +New ~Modified -Removed =Identical Details
Hint: Run this locally with etl diff REMOTE data/ --include yourdataset --verbose --snippetAutomatically updated datasets matching weekly_wildfires|excess_mortality|covid|fluid|flunet|country_profile|garden/ihme_gbd/2019/gbd_risk are not included Edited: 2024-11-24 21:55:32 UTC |
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closing as it's not looking great on grapher |
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