Turkmenistan's statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100) was 60 in 2024, the latest year in the World Bank's World Development Indicators. That is up 28.76% from 46.6 in 2019 (5.18% a year on average, compounded).
Key figures
| Value | Year | |
|---|---|---|
| Latest | 60 | 2024 |
| Five years earlier | 46.6 | 2019 |
| Ten years earlier | 0 | 2014 |
| Highest | 60 | 2022 |
| Lowest | 0 | 2013 |
| Average since 2015 | 43.96 | 2015–2024 |
| First recorded | 20 | 2004 |
What the numbers say
In 2024, Turkmenistan's statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100) did not change 0 on 2023 (from 60 to 60).
Across the 19 yearly changes before that (2005 to 2023), the average change was +2.11 and a typical year strayed about 10.9 from that (the standard deviation). This year's change was 0.2 standard deviations below that average, so it was an ordinary year: it sits within the range of normal year-to-year movement.
On record, the biggest yearly rise was 20 in 2015 and the biggest yearly fall was 20 in 2013. The numbers show how large and when, not why; for the cause, look at what happened in that country in those years.
From 2015 to 2024 the straight-line trend is upward, about 4.37 a year. A straight line explains 80% of the movement over 10 observed years.
Worked out from the yearly values above. How the checks work: standard deviation, z-scores and straight-line trends.
A straight-line projection, tested first
Extending that straight line gives about 84.19 for 2027. We show this only because the same method, fitted on earlier years, predicted 2022 to 2024 better than "no change" would have: its average miss was 3.97, against 13.4 for assuming no change. Treat it as a continuation of the recent pattern, not a forecast of events: it cannot see a recession, a policy change or a revision to the data.
See how a linear trend forecast works and the guide on forecasting without fooling yourself.
How it compares
In 2024, Turkmenistan had the 147th highest value of the 217 economies reporting that year. Higher is not always better: for some indicators the lowest value is the one to aim for. See the full ranking.
Closest to Turkmenistan in the 2024 ranking
- Solomon Islands — 166th of 217: 60
- Somalia, Fed. Rep. — 167th of 217: 60
- St. Kitts and Nevis — 168th of 217: 60
- Venezuela, RB — 170th of 217: 60
- Vanuatu — 171st of 217: 56.6
- Botswana — 172nd of 217: 50
What this measures
The data use overall score is a composite score measuring the demand side of the statistical system. The data use pillar is segmented by five types of users: (i) the legislature, (ii) the executive branch, (iii) civil society (including sub-national actors), (iv) academia and (v) international bodies. Each dimension would have associated indicators to measure performance. A mature system would score well across all dimensions whereas a less mature one would have weaker scores along certain dimensions. The gaps would give insights into prioritization among user groups and help answer questions as to why the existing services are not resulting in higher use of national statistics in a particular segment. Currently, the SPI only features indicators for one of the five dimensions of data use, which is data use by international organizations. Indicators on whether statistical systems are providing useful data to their national governments (legislature and executive branches), to civil society, and to academia are absent. Thus the dashboard does not yet assess if national statistical systems are meeting the data needs of a large swathe of users.
Limitations: Currently, the dashboard only features indicators for one of the five dimensions of data use, which is data use by international organizations. Indicators on whether statistical systems are providing useful data to their national governments (legislature and executive branches), to civil society, and to academia are absent. Thus the dashboard does not yet assess if national statistical systems are meeting the data needs of a large swathe of users.
Regional and income-group figures are computed by the World Bank as a weighted average.
All 21 values
| Year | Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100) |
|---|---|
| 2024 | 60 |
| 2023 | 60 |
| 2022 | 60 |
| 2021 | 46.6 |
| 2020 | 46.6 |
| 2019 | 46.6 |
| 2018 | 26.6 |
| 2017 | 46.6 |
| 2016 | 26.6 |
| 2015 | 20 |
| 2014 |
Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100) in nearby economies
- Albania — 100 (2024)
- Andorra — 60 (2024)
- Armenia — 90 (2024)
- Austria — 100 (2024)
- Azerbaijan — 80 (2024)
- Belarus — 86.6 (2024)
- Belgium — 100 (2024)
- Bosnia and Herzegovina — 70 (2024)
More public sector data for Turkmenistan
- Armed forces personnel, total — 57,000 (2020)
- Armed forces personnel (% of total labor force) — 2.87% (2020)
- Intentional homicides (per 100,000 people) — 1.01 (2015)
- Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100) — 54.06 (2024)
- Primary government expenditures as a proportion of original approved budget (%) — 122.19% (2023)
- Arms imports (SIPRI trend indicator values) — 382 million (2021)
- Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100) — 13.91 (2024)
Every indicator for Turkmenistan is on the Turkmenistan data page.
Reading data like this
Questions people ask
- What is Turkmenistan's statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)?
- 60 in 2024, according to the World Bank (World Development Indicators).
- How has it changed since 2004?
- It is up 200% from 20 in 2004 (5.65% a year on average, compounded). The highest value was 60 in 2022 and the lowest 0 in 2013.
Source
World Bank, World Development Indicators, indicator IQ.SPI.PIL1, licensed CC BY 4.0. Original source: Statistical Performance Indicators, World Bank (WB), uri: https://datacatalog.worldbank.org/dataset/statistical-performance-indicators Figures are fetched from the World Bank API and refreshed monthly; see the series on data.worldbank.org. The full definition and method are in the World Bank's metadata glossary. Comparisons use the same World Bank release.
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