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World Bank · Public Sector

Statistical performance indicators (SPI): Pillar 1 data use score

The data use overall score is a composite score measuring the demand side of the statistical system. The data use pillar is segmented by five types of users: (i) the legislature, (ii) the executive branch, (iii) civil society (including sub-national actors), (iv) academia and (v) international bodies. Each dimension would have associated indicators to measure performance. A mature system would score well across all dimensions whereas a less mature one would have weaker scores along certain dimensions. The gaps would give insights into prioritization among user groups and help answer questions as to why the existing services are not resulting in higher use of national statistics in a particular segment. Currently, the SPI only features indicators for one of the five dimensions of data use, which is data use by international organizations. Indicators on whether statistical systems are providing useful data to their national governments (legislature and executive branches), to civil society, and to academia are absent. Thus the dashboard does not yet assess if national statistical systems are meeting the data needs of a large swathe of users.

Coverage
217 of 238 countries
Latest data
2024
Series
217
Unit
ordinal scale (0-100)
Licence
CC BY 4.0
Retrieved
2026-11-05
Indicator
statistical-performance-indicators-spi-pillar-1-data-use
Interva ID
worldbank-statistical-performance-indicators-spi-pillar-1-data-use

Recency

current

data to 2024; 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

100%

Latest observation is 2024; the catalog broadly reports to 2025, so this data is 1 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%

0 of 217 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 217 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 21 observations; the earliest begins in 2004.

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

Statistical performance indicators (SPI): Pillar 1 data use score for each of the 217 countries it covers, with the full history.

Latest observations

CountryPeriodValueUnit
Afghanistan202466.60ordinal scale (0-100)
Albania2024100ordinal scale (0-100)
Algeria202460ordinal scale (0-100)
American Samoa202440ordinal scale (0-100)
Andorra202460ordinal scale (0-100)
Angola202460ordinal scale (0-100)
Antigua and Barbuda202480ordinal scale (0-100)
Argentina202490ordinal scale (0-100)
Armenia202490ordinal scale (0-100)
Aruba202440ordinal scale (0-100)

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

    Statistical Performance Indicators, World Bank (WB), uri: https://datacatalog.worldbank.org/dataset/statistical-performance-indicators

    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). Statistical performance indicators (SPI): Pillar 1 data use score. Interva. https://interva.co/dataset/worldbank-statistical-performance-indicators-spi-pillar-1-data-use (accessed 2026-11-07). catalog snapshot 2026-11-05.

BibTeX
@misc{interva-worldbank-statistical-performance-indicators-spi-pillar-1-data-use,
  title        = {Statistical performance indicators (SPI): Pillar 1 data use score},
  author       = {World Bank},
  year         = {2026},
  howpublished = {\url{https://interva.co/dataset/worldbank-statistical-performance-indicators-spi-pillar-1-data-use}},
  note         = {Interva dataset worldbank-statistical-performance-indicators-spi-pillar-1-data-use; 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-statistical-performance-indicators-spi-pillar-1-data-use
curl -o worldbank-statistical-performance-indicators-spi-pillar-1-data-use.csv https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-statistical-performance-indicators-spi-pillar-1-data-use/download
curl "https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-statistical-performance-indicators-spi-pillar-1-data-use/citation?accessed=YYYY-MM-DD"
curl https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-statistical-performance-indicators-spi-pillar-1-data-use/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.

Statistical performance indicators (SPI): Pillar 1 data use score · World Bank · Interva