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World Bank · Economy

GNI, Atlas method

Gross national income is the total income earned by all residents within an economic territory during an accounting period. It is equal to gross domestic product plus earned income receivable from abroad minus earned income payable abroad. This figure is converted to U.S. dollars using the World Bank Atlas method. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. This indicator is expressed in United States dollars.

Coverage
207 of 238 countries
Latest data
2025
Series
207
Unit
current USD
Licence
CC BY 4.0
Retrieved
2026-11-05
Indicator
gni-atlas-method
Interva ID
worldbank-gni-atlas-method

Recency

current

data to 2025; catalog to 2025

Provenance

4 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

100%

Latest observation is 2025; the catalog broadly reports to 2025, so this data is 0 year(s) behind (current).

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%

3 of 207 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 207 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 58 observations; the earliest begins in 1962.

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

GNI, Atlas method for each of the 207 countries it covers, with the full history.

Latest observations

CountryPeriodValueUnit
Albania202528.33Bcurrent USD
Algeria2025277.63Bcurrent USD
Andorra20254.41Bcurrent USD
Angola2025111.63Bcurrent USD
Antigua and Barbuda20252.24Bcurrent USD
Argentina2025671.61Bcurrent USD
Armenia202527.85Bcurrent USD
Australia20251.77Tcurrent USD
Austria2025555.77Bcurrent USD
Azerbaijan202575.42Bcurrent USD

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

    Not named — the declaration is kept verbatim

    Country official statistics, National Statistical Organizations and/or Central Banks

    declared by worldbank in sourceOrganization

    OECD

    National Accounts data files, Organisation for Economic Co-operation and Development (OECD)

    declared by worldbank in sourceOrganization

    World Bank

    Staff estimates, World Bank (WB)

    declared by worldbank in sourceOrganization

  2. Read from

    World Bank

    World Development Indicators

    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 2026-11-05. The record labels this as a catalog snapshot because immutable dataset releases are not stored yet.

World Bank (2026). GNI, Atlas method. Interva. https://interva.co/dataset/worldbank-gni-atlas-method (accessed 2026-11-07). catalog snapshot 2026-11-05.

BibTeX
@misc{interva-worldbank-gni-atlas-method,
  title        = {GNI, Atlas method},
  author       = {World Bank},
  year         = {2026},
  howpublished = {\url{https://interva.co/dataset/worldbank-gni-atlas-method}},
  note         = {Interva dataset worldbank-gni-atlas-method; catalog snapshot 2026-11-05},
  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-gni-atlas-method
curl -o worldbank-gni-atlas-method.csv https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-gni-atlas-method/download
curl "https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-gni-atlas-method/citation?accessed=YYYY-MM-DD"
curl https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-gni-atlas-method/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.

GNI, Atlas method · World Bank · Interva