Statistical performance indicators (SPI): Pillar 2 data services score in Pakistan
Pakistan: Statistical performance indicators (SPI): Pillar 2 data services score was 61.97 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 2 data services score in Pakistan, 2016–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
In 2024, statistical performance indicators (spi): pillar 2 data services score in Pakistan stood at 61.97 scale 0-100. That is the highest value across all 9 years on record.
Compared with earlier readings it is up 0.1% on the previous year and up 43.9% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 2 data services score in Pakistan peaked at 61.97 scale 0-100 in 2024 and was at its lowest, 43.07 scale 0-100, in 2016.
Pakistan ranks 146th of 183 countries on this measure, in the bottom quarter.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 56.05 scale 0-100 | 43.07 scale 0-100 | 60.97 scale 0-100 | 4 |
| 2020s | 61.91 scale 0-100 | 61.87 scale 0-100 | 61.97 scale 0-100 | 5 |
Countries ranked near Pakistan
- 143 Marshall Islands 62.33 scale 0-100 compare
- 144 Papua New Guinea 62.23 scale 0-100 compare
- 145 Tonga 62.17 scale 0-100 compare
- 147 Madagascar 61.77 scale 0-100 compare
- 147 East Timor 61.77 scale 0-100 compare
- 149 Vanuatu 61.67 scale 0-100 compare
More public sector data for Pakistan
- Arms imports 982.00 million SIPRI trend indicator values (2024)
- Military expenditure 2.7% (2024)
- Military expenditure 10.17 billion current USD (2024)
- Armed forces personnel, total 943,000 (2020)
- Armed forces personnel 1.3% (2020)
- Statistical performance indicators (SPI): Pillar 1 data use score 90 scale 0-100 (2024)
- Intentional homicides 4.33 per 100,000 people (2023)
- Statistical performance indicators (SPI): Pillar 3 data products score 77.83 scale 0-100 (2024)
- Military expenditure 2.83 trillion current LCU (2024)
- Proportion of seats held by women in national parliaments 17.0% (2025)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 2 data services score in Pakistan?
- Statistical performance indicators (spi): pillar 2 data services score in Pakistan was 61.97 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 Pakistan?
- The highest recorded value was 61.97 scale 0-100 in 2024.
- What is the lowest statistical performance indicators (spi): pillar 2 data services score recorded in Pakistan?
- The lowest recorded value was 43.07 scale 0-100 in 2016.
- How does Pakistan rank for statistical performance indicators (spi): pillar 2 data services score?
- Pakistan ranks 146th out of 183 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 2 data services score rising or falling in Pakistan?
- Over the last ten years it is up 43.9%. The long-run trend across the full record is rising.
- Where does this Pakistan 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.