Statistical performance indicators (SPI): Pillar 4 data sources score in Turkmenistan
Turkmenistan: Statistical performance indicators (SPI): Pillar 4 data sources score was 13.91 scale 0-100 in 2024. ▼ Falling
Statistical performance indicators (SPI): Pillar 4 data sources score in Turkmenistan, 2015–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
Turkmenistan recorded 13.91 scale 0-100 for statistical performance indicators (spi): pillar 4 data sources score in 2024.
The figure is up 19.0% on the previous year and down 4.0% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Turkmenistan peaked at 15.46 scale 0-100 in 2016 and was at its lowest, 9.98 scale 0-100, in 2018.
Turkmenistan ranks 178th of 181 countries on this measure, in the bottom quarter.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 12.43 scale 0-100 | 9.98 scale 0-100 | 15.46 scale 0-100 | 5 |
| 2020s | 12.13 scale 0-100 | 11.68 scale 0-100 | 13.91 scale 0-100 | 5 |
Countries ranked near Turkmenistan
More public sector data for Turkmenistan
- Arms imports 382.00 million SIPRI trend indicator values (2021)
- Military expenditure 111.92 million current USD (1999)
- Military expenditure 2.9% (1999)
- Armed forces personnel, total 57,000 (2020)
- Armed forces personnel 2.9% (2020)
- Statistical performance indicators (SPI): Pillar 1 data use score 60 scale 0-100 (2024)
- Intentional homicides 1.01 per 100,000 people (2015)
- Statistical performance indicators (SPI): Pillar 3 data products score 54.06 scale 0-100 (2024)
- Military expenditure 116.40 million current LCU (1999)
- Proportion of seats held by women in national parliaments 25.6% (2025)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 4 data sources score in Turkmenistan?
- Statistical performance indicators (spi): pillar 4 data sources score in Turkmenistan was 13.91 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 Turkmenistan?
- The highest recorded value was 15.46 scale 0-100 in 2016.
- What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Turkmenistan?
- The lowest recorded value was 9.98 scale 0-100 in 2018.
- How does Turkmenistan rank for statistical performance indicators (spi): pillar 4 data sources score?
- Turkmenistan ranks 178th out of 181 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Turkmenistan?
- Over the last ten years it is down 4.0%. The long-run trend across the full record is falling.
- Where does this Turkmenistan 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.