Statistical performance indicators (SPI): Pillar 4 data sources score
The data sources overall score is a composite measure of whether countries have data available from the following sources: Censuses and surveys, administrative data, geospatial data, and private sector/citizen generated data. The data sources (input) pillar is segmented by four types of sources generated by (i) the statistical office (censuses and surveys), and sources accessed from elsewhere such as (ii) administrative data, (iii) geospatial data, and (iv) private sector data and citizen generated data. The appropriate balance between these source types will vary depending on a country's institutional setting and the maturity of its statistical system. High scores should reflect the extent to which the sources being utilized enable the necessary statistical indicators to be generated. For example, a low score on environment statistics (in the data production pillar) may reflect a lack of use of (and low score for) geospatial data (in the data sources pillar). This type of linkage is inherent in the data cycle approach and can help highlight areas for investment required if country needs are to be met.
- Publisher
- World Bank
- Unit
- —
- Cadence
- Annual
- Series
- 188
- Licence
- CC BY 4.0
- Updated
- 2026-09-06
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
World Bank
Statistical Performance Indicators, World Bank (WB), uri: https://datacatalog.worldbank.org/dataset/statistical-performance-indicators
declared by worldbank in sourceOrganization
Read from
World Bank
World Development Indicators
declared by worldbank in source
Latest observations
| Country | Period | Value | Unit |
|---|---|---|---|
| Afghanistan | 2024 | 20.68 | ordinal scale (0-100) |
| Albania | 2024 | 74.60 | ordinal scale (0-100) |
| Algeria | 2024 | 44.30 | ordinal scale (0-100) |
| Andorra | 2024 | 57.64 | ordinal scale (0-100) |
| Angola | 2024 | 48.58 | ordinal scale (0-100) |
| Antigua and Barbuda | 2024 | 53.22 | ordinal scale (0-100) |
| Argentina | 2024 | 72.92 | ordinal scale (0-100) |
| Armenia | 2024 | 71.93 | ordinal scale (0-100) |
| Australia | 2024 | 84.45 | ordinal scale (0-100) |
| Austria | 2024 | 80.25 | ordinal scale (0-100) |
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