Statistical performance indicators (SPI): Pillar 1 data use score in South Sudan
South Sudan: Statistical performance indicators (SPI): Pillar 1 data use score was 20 scale 0-100 in 2024. ▼ Falling
Statistical performance indicators (SPI): Pillar 1 data use score in South Sudan, 2004–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
The most recent figure for statistical performance indicators (spi): pillar 1 data use score in South Sudan is 20 scale 0-100, measured in 2024.
That represents a change of unchanged over five years.
Over the whole period, statistical performance indicators (spi): pillar 1 data use score in South Sudan peaked at 30 scale 0-100 in 2010 and was at its lowest, 0 scale 0-100, in 2014.
South Sudan ranks 212th of 217 countries on this measure, in the bottom quarter.
The long-run direction has been consistently falling across the 21 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 20 scale 0-100 | 20 scale 0-100 | 20 scale 0-100 | 6 |
| 2010s | 22 scale 0-100 | 0 scale 0-100 | 30 scale 0-100 | 10 |
| 2020s | 20 scale 0-100 | 20 scale 0-100 | 20 scale 0-100 | 5 |
Countries ranked near South Sudan
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 3 data products score 57.54 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 1 data use score in South Sudan?
- Statistical performance indicators (spi): pillar 1 data use score in South Sudan was 20 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
- What is the highest statistical performance indicators (spi): pillar 1 data use score recorded in South Sudan?
- The highest recorded value was 30 scale 0-100 in 2010.
- What is the lowest statistical performance indicators (spi): pillar 1 data use score recorded in South Sudan?
- The lowest recorded value was 0 scale 0-100 in 2014.
- How does South Sudan rank for statistical performance indicators (spi): pillar 1 data use score?
- South Sudan ranks 212th out of 217 countries with data for 2024.
- 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 1 data use score (scale 0-100). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 21 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
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.