Statistical performance indicators (SPI): Pillar 3 data products score in South Sudan
South Sudan: Statistical performance indicators (SPI): Pillar 3 data products score was 57.54 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 3 data products score in South Sudan, 2005–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
South Sudan recorded 57.54 scale 0-100 for statistical performance indicators (spi): pillar 3 data products score in 2024. That is the highest value across all 20 years on record.
That represents a change of up 0.4% on the previous year and up 55.3% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 3 data products score in South Sudan peaked at 57.54 scale 0-100 in 2024 and was at its lowest, 16.66 scale 0-100, in 2005.
South Sudan ranks 173rd of 215 countries on this measure, in the bottom quarter.
The long-run direction has been consistently rising across the 20 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 19.15 scale 0-100 | 16.66 scale 0-100 | 22.19 scale 0-100 | 5 |
| 2010s | 39.37 scale 0-100 | 25.42 scale 0-100 | 45.99 scale 0-100 | 10 |
| 2020s | 54.7 scale 0-100 | 50.85 scale 0-100 | 57.54 scale 0-100 | 5 |
Countries ranked near South Sudan
- 170 Central African Republic 58.38 scale 0-100 compare
- 171 Guinea-Bissau 58.2 scale 0-100 compare
- 172 Syria 57.89 scale 0-100 compare
- 174 Venezuela 57.31 scale 0-100 compare
- 175 Sudan 57.18 scale 0-100 compare
- 176 Seychelles 56.67 scale 0-100 compare
More public sector data for South Sudan
- Arms imports 10.00 million SIPRI trend indicator values (2022)
- Military expenditure 2.0% (2024)
- Military expenditure 2.03 billion current USD (2024)
- Armed forces personnel, total 53,000 (2020)
- Armed forces personnel 1.2% (2020)
- Statistical performance indicators (SPI): Pillar 1 data use score 20 scale 0-100 (2024)
- Military expenditure 264.15 billion current LCU (2024)
- Proportion of seats held by women in national parliaments 32.4% (2025)
- Military expenditure 8.2% (2024)
- Internally displaced persons, new displacement associated with disaste 167,000 number of cases (2023)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 3 data products score in South Sudan?
- Statistical performance indicators (spi): pillar 3 data products score in South Sudan was 57.54 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 South Sudan?
- The highest recorded value was 57.54 scale 0-100 in 2024.
- What is the lowest statistical performance indicators (spi): pillar 3 data products score recorded in South Sudan?
- The lowest recorded value was 16.66 scale 0-100 in 2005.
- How does South Sudan rank for statistical performance indicators (spi): pillar 3 data products score?
- South Sudan ranks 173rd out of 215 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 3 data products score rising or falling in South Sudan?
- Over the last ten years it is up 55.3%. The long-run trend across the full record is rising.
- Where does this South Sudan 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.