Statistical performance: Pillar 2 data services score (scale) in Low income
Low income: Statistical performance: Pillar 2 data services score (scale) was 57.27 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 2 data services score in Low income, 2016–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
The most recent figure for statistical performance indicators (spi): pillar 2 data services score in Low income is 57.27 scale 0-100, measured in 2024. That is the highest value across all 9 years on record.
The figure is up 7.7% on the previous year and up 65.9% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 2 data services score in Low income peaked at 57.27 scale 0-100 in 2024 and was at its lowest, 34.52 scale 0-100, in 2016.
Statistical performance: Pillar 2 data services score (scale) in Low income, year by year
| Year | scale 0-100 | Change |
|---|---|---|
| 2016 | 34.52 scale 0-100 | — |
| 2017 | 44.39 scale 0-100 | +28.6% |
| 2018 | 52.17 scale 0-100 | +17.5% |
| 2019 | 50.83 scale 0-100 | -2.6% |
| 2020 | 54.4 scale 0-100 | +7.0% |
| 2021 | 57.07 scale 0-100 | +4.9% |
| 2022 | 57 scale 0-100 | -0.1% |
| 2023 | 53.16 scale 0-100 | -6.7% |
| 2024 | 57.27 scale 0-100 | +7.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 45.48 scale 0-100 | 34.52 scale 0-100 | 52.17 scale 0-100 | 4 |
| 2020s | 55.78 scale 0-100 | 53.16 scale 0-100 | 57.27 scale 0-100 | 5 |
Countries ranked near Low income
More public sector data for Low income
- Arms imports 294.00 million SIPRI trend indicator values (2025)
- Arms imports (SIPRI trend indicator values), per capita 0.1887 SIPRI trend indicator values per person (2024)
- Arms imports (SIPRI trend indicator values), per unit of GDP 0.0002 SIPRI trend indicator values per US$ of GDP (2024)
- Arms imports (SIPRI trend indicator values), annual growth rate -50.7 % change on previous year (2024)
- Arms imports (SIPRI trend indicator values), gaps filled 141.00 million SIPRI trend indicator values (2024)
- Military expenditure (current USD), per capita 12.46 current USD per person (2024)
- Military expenditure (current USD), per unit of GDP 0.0154 current USD per US$ of GDP (2024)
- Military expenditure (current USD), annual growth rate 17.86 % change on previous year (2024)
- Military expenditure (current USD), gaps filled 9.31 billion current USD (2024)
- Arms imports (SIPRI trend indicator values), per square kilometre 19.47 SIPRI trend indicator values per square kilometre (2023)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 2 data services score in Low income?
- Statistical performance indicators (spi): pillar 2 data services score in Low income was 57.27 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
- What is the highest statistical performance indicators (spi): pillar 2 data services score recorded in Low income?
- The highest recorded value was 57.27 scale 0-100 in 2024.
- What is the lowest statistical performance indicators (spi): pillar 2 data services score recorded in Low income?
- The lowest recorded value was 34.52 scale 0-100 in 2016.
- How does Low income rank for statistical performance indicators (spi): pillar 2 data services score?
- Low income ranks 4th out of 4 groups with data for 2024.
- Is statistical performance indicators (spi): pillar 2 data services score rising or falling in Low income?
- Over the last ten years it is up 65.9%. The long-run trend across the full record is rising.
- Where does this Low income data come from?
- The figures come from Statistical Performance Indicators, World Bank (WB), published as part of Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 9 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
The data services pillar overall score is a composite indicator based on four dimensions of data services: (i) the quality of data releases, (ii) the richness and openness of online access, (iii) the effectiveness of advisory and analytical services related to statistics, and (iv) the availability and use of data access services such as secure microdata access. Advisory and analytical services might incorporate elements related to data stewardship services including input to national data strategies, advice on data ethics and calling out misuse of data in accordance with the Fundamental Principles of Official Statistics.