Statistical performance indicators (SPI): Pillar 4 data sources score in Qatar
Qatar: Statistical performance indicators (SPI): Pillar 4 data sources score was 61.19 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 4 data sources score in Qatar, 2016–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
Qatar recorded 61.19 scale 0-100 for statistical performance indicators (spi): pillar 4 data sources score in 2024. That is the highest value across all 9 years on record.
The figure is up 3.2% on the previous year and up 8.5% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Qatar peaked at 61.19 scale 0-100 in 2024 and was at its lowest, 55.25 scale 0-100, in 2020.
That places Qatar 89th out of 182 countries with data for 2024, putting it in the middle of the range.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 57.56 scale 0-100 | 56.4 scale 0-100 | 58.3 scale 0-100 | 4 |
| 2020s | 58.89 scale 0-100 | 55.25 scale 0-100 | 61.19 scale 0-100 | 5 |
Countries ranked near Qatar
More public sector data for Qatar
- Arms imports 1.15 billion SIPRI trend indicator values (2024)
- Military expenditure 6.5% (2022)
- Military expenditure 15.41 billion current USD (2022)
- Armed forces personnel, total 22,000 (2020)
- Armed forces personnel 1.1% (2020)
- Statistical performance indicators (SPI): Pillar 1 data use score 80 scale 0-100 (2024)
- Intentional homicides 0.0691 per 100,000 people (2022)
- Statistical performance indicators (SPI): Pillar 3 data products score 67.53 scale 0-100 (2024)
- Military expenditure 56.10 billion current LCU (2022)
- Proportion of seats held by women in national parliaments 6.1% (2025)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 4 data sources score in Qatar?
- Statistical performance indicators (spi): pillar 4 data sources score in Qatar was 61.19 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
- What is the highest statistical performance indicators (spi): pillar 4 data sources score recorded in Qatar?
- The highest recorded value was 61.19 scale 0-100 in 2024.
- What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Qatar?
- The lowest recorded value was 55.25 scale 0-100 in 2020.
- How does Qatar rank for statistical performance indicators (spi): pillar 4 data sources score?
- Qatar ranks 89th out of 182 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Qatar?
- Over the last ten years it is up 8.5%. The long-run trend across the full record is rising.
- Where does this Qatar data come from?
- The figures come from Statistical Performance Indicators, World Bank (WB), published as part of Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100). Statizoid updates them automatically from the source API.
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About this data
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.