Statistical performance indicators (SPI): Pillar 1 data use score in Sudan
Sudan: Statistical performance indicators (SPI): Pillar 1 data use score was 46.6 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 1 data use score in Sudan, 2004–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
In 2024, statistical performance indicators (spi): pillar 1 data use score in Sudan stood at 46.6 scale 0-100.
The figure is up 16.5% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 1 data use score in Sudan peaked at 73.4 scale 0-100 in 2016 and was at its lowest, 20 scale 0-100, in 2004.
Sudan ranks 182nd of 215 countries on this measure, in the bottom quarter.
The long-run direction has been consistently rising 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 | 49.36 scale 0-100 | 40 scale 0-100 | 73.4 scale 0-100 | 10 |
| 2020s | 42.68 scale 0-100 | 33.4 scale 0-100 | 53.4 scale 0-100 | 5 |
Countries ranked near Sudan
- 182 Suriname 46.6 scale 0-100 compare
- 182 Yemen 46.6 scale 0-100 compare
- 185 American Samoa 40 scale 0-100 compare
- 185 Aruba 40 scale 0-100 compare
- 185 Bermuda 40 scale 0-100 compare
- 185 Democratic Republic of Congo 40 scale 0-100 compare
- 185 Cuba 40 scale 0-100 compare
- 185 Djibouti 40 scale 0-100 compare
- 185 Faroe Islands 40 scale 0-100 compare
- 185 French Polynesia 40 scale 0-100 compare
- 185 Gibraltar 40 scale 0-100 compare
- 185 Greenland 40 scale 0-100 compare
- 185 Guam 40 scale 0-100 compare
- 185 Haiti 40 scale 0-100 compare
- 185 Hong Kong 40 scale 0-100 compare
- 185 Isle of Man 40 scale 0-100 compare
- 185 Macao 40 scale 0-100 compare
- 185 Namibia 40 scale 0-100 compare
- 185 Northern Mariana Islands 40 scale 0-100 compare
- 185 Saint Martin (French part) 40 scale 0-100 compare
- 185 United States Virgin Islands 40 scale 0-100 compare
More public sector data for Sudan
- Arms imports 2.00 million SIPRI trend indicator values (2024)
- Tax revenue 7.4% (2016)
- Taxes on income, profits and capital gains 5.9% (2016)
- Taxes on goods and services 59.8% (2016)
- Net investment in nonfinancial assets 1.1% (2016)
- Net lending (+) / net borrowing (-) -1.7% (2016)
- Interest payments 5.1% (2016)
- Grants and other revenue 18.3% (2016)
- Interest payments 4.8% (2016)
- Other taxes 0.4% (2016)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 1 data use score in Sudan?
- Statistical performance indicators (spi): pillar 1 data use score in Sudan was 46.6 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 Sudan?
- The highest recorded value was 73.4 scale 0-100 in 2016.
- What is the lowest statistical performance indicators (spi): pillar 1 data use score recorded in Sudan?
- The lowest recorded value was 20 scale 0-100 in 2004.
- How does Sudan rank for statistical performance indicators (spi): pillar 1 data use score?
- Sudan ranks 182nd out of 215 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 1 data use score rising or falling in Sudan?
- Over the last ten years it is up 16.5%. The long-run trend across the full record is rising.
- Where does this 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.