World Bank · Education
Total net attendance rate, upper secondary, richest quintile, both sexes
Total number of students of the official age group for upper secondary education who are attending school at 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 upper secondary education who are attending school at any level of education by the population of the same age group and multiply the result by 100. The difference between the total NAR and the adjusted NAR provides a measure of the proportion of children in the official relevant school age group who are attending levels of education below the one intended for their age. The difference between the total NAR and the adjusted NAR for upper secondary education is due to attendance in of pre-primary, primary or lower secondary education. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
- Coverage
- 110 of 238 countries
- Latest data
- 2019
- Series
- 110
- Unit
- percent
- Licence
- CC BY 4.0
- Retrieved
- 2026-11-07
- Indicator
- total-net-attendance-rate-upper-secondary-richest-quintile
- Interva ID
- worldbank-total-net-attendance-rate-upper-secondary-richest-quintile
Recency
stale
data to 2019; catalog to 2025
Provenance
2 steps
as the publisher declares it
Versions
1
catalog snapshots
Citation
BibTeX + CSL
versioned permalink
Quality profile
This profile describes what Interva can measure in the data. It does not claim the dataset is accurate, complete, or suitable for a particular use.
Recency
0%Latest observation is 2019; the catalog broadly reports to 2025, so this data is 6 year(s) behind (stale).
Method: Compares the dataset's latest non-projected period with the year most datasets in the catalog end in. Up to 2 years behind is current — annual data is routinely published a year or two late — and more than 5 is stale. Measured from the data, not from when Interva last crawled it.
Temporal completeness
33%78 of 110 series skip at least one year inside their own span; the median series reports 33% of its years.
Method: Per series, years present divided by years from its first to its last observation; the median across series is reported. Annual periods are assumed, which holds for every series in the catalog today.
Geographic coverage
MeasuredCovers 110 of the 238 countries in the catalog.
Method: Counts distinct geographies with at least one observation. Not scored: a regional dataset covering its region completely is not deficient for omitting the rest of the world.
History depth
MeasuredThe median series has 3 observations; the earliest begins in 2000.
Method: Counts non-projected observations per series. Not scored: a long history is useful for trend work and irrelevant for a cross-section.
Revisions
MeasuredNo observation has been restated in any vintage Interva has recorded.
Method: Counts values the publisher changed between Interva's publishes. Not scored: revising estimates is ordinary and often a sign of care, and the count is here so a reader citing a figure knows whether it moves.
Schema conformity
Not assessedNo declared schema or validation rules are attached to this dataset yet.
Validity
Not assessedNo field-level validation rules are attached to this dataset yet.
Consistency
Not assessedCross-series consistency rules are not defined yet. The obvious first one — whether two publishers measuring one concept agree within a stated tolerance — is a candidate.
2 scored from the data, 3 described without a score, 3 not assessed. Pipeline integrity: all 5 checks pass. Assessed 2026-11-07.
By country
Total net attendance rate, upper secondary, richest quintile, both sexes for each of the 110 countries it covers, with the full history.
- Afghanistan 2011–2015
- Albania 2009–2017
- Algeria 2013–2013
- Angola 2015–2015
- Armenia 2006–2016
- Azerbaijan 2006–2006
- Bangladesh 2006–2019
- Barbados 2012–2012
- Belarus 2012–2012
- Belize 2016–2016
- Benin 2006–2018
- Bhutan 2010–2010
- Bolivia, Plurinational State of 2000–2018
- Bosnia and Herzegovina 2012–2012
- Brazil 2001–2018
- Burkina Faso 2003–2010
- Burundi 2000–2017
- Cambodia 2005–2014
- Cameroon 2004–2014
- Central African Republic 2006–2010
- Chad 2004–2014
- Chile 2000–2017
- Colombia 2002–2018
- Comoros 2012–2012
- Congo 2005–2015
- Congo, The Democratic Republic of the 2007–2013
- Costa Rica 2002–2018
- Côte d'Ivoire 2006–2016
- Dominican Republic 2000–2018
- Ecuador 2001–2018
- Egypt 2005–2014
- El Salvador 2000–2018
- Eswatini 2006–2014
- Ethiopia 2005–2016
- Gabon 2012–2012
- Gambia 2006–2018
- Ghana 2009–2018
- Guatemala 2000–2015
- Guinea 2005–2018
- Guinea-Bissau 2014–2014
- Guyana 2006–2014
- Haiti 2005–2017
- Honduras 2001–2018
- India 2006–2016
- Indonesia 2003–2017
- Iraq 2011–2018
- Jamaica 2011–2011
- Jordan 2007–2018
- Kazakhstan 2006–2015
- Kenya 2003–2014
- Kiribati 2019–2019
- Kyrgyzstan 2006–2014
- Lao People's Democratic Republic 2006–2017
- Lesotho 2005–2018
- Liberia 2007–2013
- Madagascar 2009–2018
- Malawi 2004–2016
- Maldives 2008–2017
- Mali 2006–2018
- Mauritania 2007–2015
- Mexico 2000–2018
- Moldova, Republic of 2005–2012
- Mongolia 2006–2018
- Montenegro 2013–2018
- Morocco 2004–2004
- Mozambique 2003–2011
- Myanmar 2016–2016
- Namibia 2007–2013
- Nepal 2007–2016
- Nicaragua 2001–2014
- Niger 2006–2012
- Nigeria 2003–2018
- North Macedonia 2011–2011
- Pakistan 2007–2018
- Palestine, State of 2014–2014
- Panama 2000–2018
- Papua New Guinea 2018–2018
- Paraguay 2001–2018
- Peru 2000–2018
- Philippines 2004–2018
- Rwanda 2005–2015
- Saint Lucia 2012–2012
- Sao Tome and Principe 2009–2014
- Senegal 2005–2017
- Serbia 2011–2014
- Sierra Leone 2008–2017
- South Africa 2016–2016
- South Sudan 2010–2010
- Sri Lanka 2006–2006
- Sudan 2014–2014
- Suriname 2010–2018
- Syrian Arab Republic 2006–2006
- Tajikistan 2006–2017
- Tanzania, United Republic of 2004–2015
- Thailand 2013–2016
- Timor-Leste 2009–2016
- Togo 2006–2017
- Tunisia 2012–2018
- Türkiye 2004–2014
- Turkmenistan 2016–2016
- Uganda 2006–2016
- Ukraine 2007–2013
- Uruguay 2008–2018
- Uzbekistan 2006–2006
- Vanuatu 2007–2007
- Venezuela, Bolivarian Republic of 2000–2014
- Viet Nam 2011–2014
- Yemen 2006–2013
- Zambia 2001–2018
- Zimbabwe 2005–2019
Latest observations
| Country | Period | Value | Unit |
|---|---|---|---|
| Bangladesh | 2019 | 80.84 | percent |
| Kiribati | 2019 | 76.43 | percent |
| Zimbabwe | 2019 | 39.86 | percent |
| Benin | 2018 | 63.60 | percent |
| Bolivia, Plurinational State of | 2018 | 95.90 | percent |
| Brazil | 2018 | 92.19 | percent |
| Colombia | 2018 | 94.11 | percent |
| Costa Rica | 2018 | 98.74 | percent |
| Dominican Republic | 2018 | 93.06 | percent |
| Ecuador | 2018 | 93.32 | percent |
Provenance
Who produced these figures, as World Bank declares it — not inferred, and each line says which published field it was read from.
Produced by
UNESCO Institute for Statistics
UNESCO Institute for Statistics
declared by worldbank in sourceOrganization
Read from
World Bank
Education Statistics
declared by worldbank in source
Versions
A vintage is a dated publish of the catalog. The current entry is a catalog snapshot; checksums are not recorded yet and are shown as such.
- CurrentCurrent catalog snapshotchecksum not recorded
Related datasets
Literacy rate, adult total (% of people 15+)
World Bank · 170 series · same topic · same publisher
Literacy rate, youth (ages 15-24), gender parity index
World Bank · 173 series · same topic · same publisher
Literacy rate, youth female
World Bank · 173 series · same topic · same publisher
Literacy rate, youth total
World Bank · 172 series · same topic · same publisher
Literacy rate, adult male
World Bank · 170 series · same topic · same publisher
Literacy rate, youth male
World Bank · 173 series · same topic · same publisher
Compulsory education, duration
World Bank · 197 series · same topic · same publisher
School enrollment, primary (gross), gender parity index
World Bank · 206 series · same topic · same publisher
Citation
Version: catalog snapshot 2026-11-07. The record labels this as a catalog snapshot because immutable dataset releases are not stored yet.
World Bank (2026). Total net attendance rate, upper secondary, richest quintile, both sexes. Interva. https://interva.co/dataset/worldbank-total-net-attendance-rate-upper-secondary-richest-quintile (accessed 2026-11-07). catalog snapshot 2026-11-07.
@misc{interva-worldbank-total-net-attendance-rate-upper-secondary-richest-quintile,
title = {Total net attendance rate, upper secondary, richest quintile, both sexes},
author = {World Bank},
year = {2026},
howpublished = {\url{https://interva.co/dataset/worldbank-total-net-attendance-rate-upper-secondary-richest-quintile}},
note = {Interva dataset worldbank-total-net-attendance-rate-upper-secondary-richest-quintile; catalog snapshot 2026-11-07},
urldate = {2026-11-07}
}DOI: not assigned (not assigned). The permalink is versioned by catalog snapshot; a stable dataset DOI is a later step.
API access
Every fact on this page is available from the API.
curl https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-total-net-attendance-rate-upper-secondary-richest-quintilecurl -o worldbank-total-net-attendance-rate-upper-secondary-richest-quintile.csv https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-total-net-attendance-rate-upper-secondary-richest-quintile/downloadcurl "https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-total-net-attendance-rate-upper-secondary-richest-quintile/citation?accessed=YYYY-MM-DD"curl https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-total-net-attendance-rate-upper-secondary-richest-quintile/qualityFull schema: https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/docs
Open in the terminal to chart this series, compare it against other publishers, or export it with its provenance.