Statistical performance indicators (SPI): Pillar 4 data sources score in Algeria
Algeria: Statistical performance indicators (SPI): Pillar 4 data sources score was 44.3 scale 0-100 in 2024. ▼ Falling
Statistical performance indicators (SPI): Pillar 4 data sources score in Algeria, 2015–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
Algeria recorded 44.3 scale 0-100 for statistical performance indicators (spi): pillar 4 data sources score in 2024.
Compared with earlier readings it is up 1.9% on the previous year and down 19.4% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Algeria peaked at 58.28 scale 0-100 in 2018 and was at its lowest, 43.48 scale 0-100, in 2022.
Algeria ranks 132nd of 182 countries on this measure, in the middle of the range.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 55.84 scale 0-100 | 54.12 scale 0-100 | 58.28 scale 0-100 | 5 |
| 2020s | 46.22 scale 0-100 | 43.48 scale 0-100 | 51.59 scale 0-100 | 5 |
Countries ranked near Algeria
More public sector data for Algeria
- Arms imports 128.00 million SIPRI trend indicator values (2024)
- Military expenditure 8.0% (2024)
- Military expenditure 21.81 billion current USD (2024)
- Armed forces personnel, total 326,000 (2020)
- Armed forces personnel 2.8% (2020)
- Statistical performance indicators (SPI): Pillar 1 data use score 60 scale 0-100 (2024)
- Intentional homicides 1.16 per 100,000 people (2023)
- Statistical performance indicators (SPI): Pillar 3 data products score 67.99 scale 0-100 (2024)
- Military expenditure 2.93 trillion current LCU (2024)
- Proportion of seats held by women in national parliaments 7.9% (2025)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 4 data sources score in Algeria?
- Statistical performance indicators (spi): pillar 4 data sources score in Algeria was 44.3 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 Algeria?
- The highest recorded value was 58.28 scale 0-100 in 2018.
- What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Algeria?
- The lowest recorded value was 43.48 scale 0-100 in 2022.
- How does Algeria rank for statistical performance indicators (spi): pillar 4 data sources score?
- Algeria ranks 132nd out of 182 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Algeria?
- Over the last ten years it is down 19.4%. The long-run trend across the full record is falling.
- Where does this Algeria 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.