Statistical performance indicators (SPI): Pillar 3 data products score in Afghanistan
Afghanistan: Statistical performance indicators (SPI): Pillar 3 data products score was 64.56 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 3 data products score in Afghanistan, 2005–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
The most recent figure for statistical performance indicators (spi): pillar 3 data products score in Afghanistan is 64.56 scale 0-100, measured in 2024.
That represents a change of down 15.5% on the previous year and up 30.9% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 3 data products score in Afghanistan peaked at 78.64 scale 0-100 in 2021 and was at its lowest, 45.01 scale 0-100, in 2005.
Afghanistan ranks 145th of 215 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 20 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 47.97 scale 0-100 | 45.01 scale 0-100 | 50.95 scale 0-100 | 5 |
| 2010s | 55.87 scale 0-100 | 46.66 scale 0-100 | 70.43 scale 0-100 | 10 |
| 2020s | 73.17 scale 0-100 | 64.56 scale 0-100 | 78.64 scale 0-100 | 5 |
Countries ranked near Afghanistan
- 142 Antigua and Barbuda 64.94 scale 0-100 compare
- 143 Guyana 64.75 scale 0-100 compare
- 144 Cape Verde 64.67 scale 0-100 compare
- 146 Democratic Republic of Congo 64.26 scale 0-100 compare
- 147 Nauru 63.46 scale 0-100 compare
- 148 Saint Lucia 63.36 scale 0-100 compare
More public sector data for Afghanistan
- Arms imports 65.00 million SIPRI trend indicator values (2021)
- Tax revenue 9.9% (2017)
- Taxes on income, profits and capital gains 4.5% (2017)
- Taxes on goods and services 8.6% (2017)
- Net investment in nonfinancial assets 8.5% (2017)
- Net lending (+) / net borrowing (-) 0.4% (2017)
- Interest payments 0.1% (2017)
- Grants and other revenue 78.8% (2017)
- Interest payments 0.1% (2017)
- Other taxes 0.0% (2017)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 3 data products score in Afghanistan?
- Statistical performance indicators (spi): pillar 3 data products score in Afghanistan was 64.56 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
- What is the highest statistical performance indicators (spi): pillar 3 data products score recorded in Afghanistan?
- The highest recorded value was 78.64 scale 0-100 in 2021.
- What is the lowest statistical performance indicators (spi): pillar 3 data products score recorded in Afghanistan?
- The lowest recorded value was 45.01 scale 0-100 in 2005.
- How does Afghanistan rank for statistical performance indicators (spi): pillar 3 data products score?
- Afghanistan ranks 145th out of 215 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 3 data products score rising or falling in Afghanistan?
- Over the last ten years it is up 30.9%. The long-run trend across the full record is rising.
- Where does this Afghanistan data come from?
- The figures come from Statistical Performance Indicators, World Bank (WB), published as part of Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 20 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
The data products overall score is a composite score measuring whether the country is able to produce relevant indicators, primarily related to SDGs. The data products (internal process) pillar is segmented by four topics and organized into (i) social, (ii) economic, (iii) environmental, and (iv) institutional dimensions using the typology of the Sustainable Development Goals (SDGs). This approach anchors the national statistical system's performance around the essential data required to support the achievement of the 2030 global goals, and enables comparisons across countries so that a global view can be generated while enabling country specific emphasis to reflect the user needs of that country.