World Bank · Other

Regulatory Quality - Governance estimate

Regulatory Quality (RQ) captures perceptions of the government’s ability to design and implement policies and regulations that promote private sector development. Governance estimate from the aggregation model, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5. Larger values correspond to better governance. The (country-series-time) metadata include the (a) number of sources, and (b) standard error. The number of sources indicates the number of underlying data sources on which the governance estimate is based. The standard error indicates the precision of the governance estimate. Larger values indicate less precise estimates. A 90% confidence interval for the governance estimate is given by the estimate +/- 1.64 times the standard error.

Coverage
205 of 238 countries
Latest data
2025
Series
205
Unit
ordinal scale (-2.5 to +2.5)
Licence
CC BY 4.0
Retrieved
2026-11-05
Indicator
regulatory-quality-governance-estimate
Interva ID
worldbank-regulatory-quality-governance-estimate

Recency

current

data to 2025; catalog to 2025

Provenance

2 steps

as the publisher declares it

Versions

2

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

90%

182 of 205 series skip at least one year inside their own span; the median series reports 90% 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 205 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 27 observations; the earliest begins in 1996.

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

5126 observation(s) restated by the publisher across 1 vintage(s) 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

Regulatory Quality - Governance estimate for each of the 205 countries it covers, with the full history.

Latest observations

CountryPeriodValueUnit
Afghanistan2025-1.44ordinal scale (-2.5 to +2.5)
Albania20250.30ordinal scale (-2.5 to +2.5)
Algeria2025-0.79ordinal scale (-2.5 to +2.5)
American Samoa20250.37ordinal scale (-2.5 to +2.5)
Andorra20250.85ordinal scale (-2.5 to +2.5)
Angola2025-0.74ordinal scale (-2.5 to +2.5)
Antigua and Barbuda20250.62ordinal scale (-2.5 to +2.5)
Argentina2025-0.09ordinal scale (-2.5 to +2.5)
Armenia20250.22ordinal scale (-2.5 to +2.5)
Aruba20250.97ordinal scale (-2.5 to +2.5)

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

    World Bank Group

    The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG), uri: https://www.worldbank.org/en/publication/worldwide-governance-indicators, note: Detailed documentation of the WGI, interactive tools for exploring the data, and full access to the underlying source data available at www.govindicators.org. Worldwide Governance Indicators, 2025 Revision, World Bank (www.govindicators.org), Accessed on 12/15/2025. And: World Bank (2025). “The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data.” Washington, DC: World Bank Group. The 2025 revision builds upon the original WGI methodology which was introduced in 1999 and summarized by the following paper: Kaufmann, Daniel & Aart C. Kraay. (2024). “The Worldwide Governance Indicators: Methodology and 2024 Update.” Policy Research Working Paper. Washington, DC: World Bank Group., date accessed: 2026-06-03, date published: 2025

    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
  • 2026-11-055126 observation(s) restatedchecksum not recorded

Related datasets

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). Regulatory Quality - Governance estimate. Interva. https://interva.co/dataset/worldbank-regulatory-quality-governance-estimate (accessed 2026-11-07). catalog snapshot 2026-11-05.

BibTeX
@misc{interva-worldbank-regulatory-quality-governance-estimate,
  title        = {Regulatory Quality - Governance estimate},
  author       = {World Bank},
  year         = {2026},
  howpublished = {\url{https://interva.co/dataset/worldbank-regulatory-quality-governance-estimate}},
  note         = {Interva dataset worldbank-regulatory-quality-governance-estimate; 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-regulatory-quality-governance-estimate
curl -o worldbank-regulatory-quality-governance-estimate.csv https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-regulatory-quality-governance-estimate/download
curl "https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-regulatory-quality-governance-estimate/citation?accessed=YYYY-MM-DD"
curl https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-regulatory-quality-governance-estimate/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.

Regulatory Quality - Governance estimate · World Bank · Interva