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World Bank · Education

Administration of a nationally-representative learning assessment at the end of lower secondary education in mathematics

This indicator evaluates whether a national or cross-national assessment of learning outcomes was conducted in the last 5 years in (a) reading, writing or language and (b) mathematics at the relevant stages of education. The indicator is expressed as a simple ‘yes’ or ‘no’ for each subject area and each stage of education. The implementation of a learning assessment in the reference period serves as an educational vital tool to assess progress. 'Yes’ values indicate that the country is monitoring learning outcomes regularly at the given stage of education and in the given subject areas. This will enable the country to review and adapt as necessary its national policies on education and learning to ensure that all children and young people have the opportunity to acquire basic skills at each education level and in each subject area. Data on the administration of a large-scale assessment from a national representative sample from national learning assessment offices, ministries of education or other bodies responsible for learning assessments, including regional or international organizations running learning assessments (e.g. Conférence des ministres de l'Éducation des États et gouvernements de la Francophonie (CONFEMEN), Educational Quality and Assessment Programme (EQAP), International Association for the Evaluation of Educational Achievement (IEA), Organisation for Economic Co-operation and Development (OECD), Southern and Eastern Africa Consortium for Monitoring Education Quality (SACMEQ) and Third Regional Comparative and Explanatory Study (TERCE). For more information, consult the UNESCO Institute for Statistics: http://uis.unesco.org/

Coverage
215 of 238 countries
Latest data
2019
Series
215
Unit
count
Licence
CC BY 4.0
Retrieved
2026-11-07
Indicator
administration-of-a-nationally-representative-learning-assessment-at
Interva ID
worldbank-administration-of-a-nationally-representative-learning-assessment-at

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

100%

0 of 215 series skip at least one year inside their own span; the median series reports 100% 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

Measured

Covers 215 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

Measured

The median series has 2 observations; the earliest begins in 2018.

Method: Counts non-projected observations per series. Not scored: a long history is useful for trend work and irrelevant for a cross-section.

Revisions

Measured

No 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 assessed

No declared schema or validation rules are attached to this dataset yet.

Validity

Not assessed

No field-level validation rules are attached to this dataset yet.

Consistency

Not assessed

Cross-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

Administration of a nationally-representative learning assessment at the end of lower secondary education in mathematics for each of the 215 countries it covers, with the full history.

Latest observations

CountryPeriodValueUnit
Afghanistan20190count
Albania20191count
Algeria20191count
American Samoa20190count
Andorra20190count
Angola20190count
Antigua and Barbuda20191count
Argentina20191count
Armenia20191count
Aruba20190count

Provenance

Who produced these figures, as World Bank declares it — not inferred, and each line says which published field it was read from.

  1. Produced by

    UNESCO Institute for Statistics

    UNESCO Institute for Statistics

    declared by worldbank in sourceOrganization

  2. 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

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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). Administration of a nationally-representative learning assessment at the end of lower secondary education in mathematics. Interva. https://interva.co/dataset/worldbank-administration-of-a-nationally-representative-learning-assessment-at (accessed 2026-11-07). catalog snapshot 2026-11-07.

BibTeX
@misc{interva-worldbank-administration-of-a-nationally-representative-learning-assessment-at,
  title        = {Administration of a nationally-representative learning assessment at the end of lower secondary education in mathematics},
  author       = {World Bank},
  year         = {2026},
  howpublished = {\url{https://interva.co/dataset/worldbank-administration-of-a-nationally-representative-learning-assessment-at}},
  note         = {Interva dataset worldbank-administration-of-a-nationally-representative-learning-assessment-at; 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-administration-of-a-nationally-representative-learning-assessment-at
curl -o worldbank-administration-of-a-nationally-representative-learning-assessment-at.csv https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-administration-of-a-nationally-representative-learning-assessment-at/download
curl "https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-administration-of-a-nationally-representative-learning-assessment-at/citation?accessed=YYYY-MM-DD"
curl https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-administration-of-a-nationally-representative-learning-assessment-at/quality

Full 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.

Administration of a nationally-representative learning assessment at the end of lower secondary education in mathematics · World Bank · Interva