Dataset library
climate$3 one-offclimateworld bankworld development indicatorsiq.spi.pil4public sector

Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100) — every country, all years (World Bank)

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 o Every country, region and year the World Bank publishes for indicator IQ.SPI.PIL4 (World Development Indicators), delivered as a tidy table — country, ISO code, year and value — ready for analysis in Excel, R, Python or the Intigal AI workspace. Original compiler: Statistical Performance Indicators, World Bank (WB), uri: https://datacatalog.worldbank.org/dataset/statistical-performance-indicators.

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0
File size
prepared on demand
Source
World Bank Open Data

Preview

First 0 rows, exactly as they appear in the file.

Schema

0 columns and 0 rows, with the detected type and missing-value count for each column.

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Source & licence

Source
World Bank Open Data
Extracted
10/17/2026, 1:32:28 PM
Detected format
text/csv

Version 1: Listed from the publisher's open-data release.

Original source: api.worldbank.org · CC BY 4.0 — free to reuse with attribution to the World Bank