Dimension 1.5: Data use by international organizations in Sudan
Sudan: Dimension 1.5: Data use by international organizations was 0.466 in 2023. ▲ Rising
Dimension 1.5: Data use by international organizations in Sudan, 2004–2023
Source: Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators).
Analysis
Sudan recorded 0.466 for dimension 1.5: data use by international organizations in 2023.
That represents a change of down 12.7% on the previous year and up 16.5% over ten years.
Over the whole period, dimension 1.5: data use by international organizations in Sudan peaked at 0.734 in 2016 and was at its lowest, 0.2, in 2004.
That places Sudan 185th out of 214 countries with data for 2023, putting it 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 | 0.2 | 0.2 | 0.2 | 6 |
| 2010s | 0.4936 | 0.4 | 0.734 | 10 |
| 2020s | 0.517 | 0.466 | 0.534 | 4 |
Countries ranked near Sudan
- 185 Suriname 0.466 compare
- 185 Syria 0.466 compare
- 188 American Samoa 0.4 compare
- 188 Aruba 0.4 compare
- 188 Bermuda 0.4 compare
- 188 British Virgin Islands 0.4 compare
- 188 Cuba 0.4 compare
- 188 Faroe Islands 0.4 compare
- 188 French Polynesia 0.4 compare
- 188 Gibraltar 0.4 compare
- 188 Greenland 0.4 compare
- 188 Guam 0.4 compare
- 188 Isle of Man 0.4 compare
- 188 Northern Mariana Islands 0.4 compare
- 188 Puerto Rico 0.4 compare
- 188 South Sudan 0.4 compare
- 188 Saint Martin (French part) 0.4 compare
- 188 United States Virgin Islands 0.4 compare
More reference data data for Sudan
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied to 519.4 (2019)
- Emission Totals - Emissions (N2O) - Manure Management 0.8148 (2019)
- Emission Totals - Emissions (N2O) - Burning - Crop residues 0.0139 (2019)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 1.96 (2019)
- Emission Totals - Emissions (N2O) - Agricultural Soils 88.53 (2019)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 24,878 (2019)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Crop Residues 628.46 (2019)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Burning - Crop re 3.68 (2019)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Agricultural Soil 23,460 (2019)
- Emission Totals - Emissions (N2O) - Crop Residues 2.37 (2019)
Frequently asked questions
- What is dimension 1.5: data use by international organizations in Sudan?
- Dimension 1.5: data use by international organizations in Sudan was 0.466 in 2023, according to Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators).
- What is the highest dimension 1.5: data use by international organizations recorded in Sudan?
- The highest recorded value was 0.734 in 2016.
- What is the lowest dimension 1.5: data use by international organizations recorded in Sudan?
- The lowest recorded value was 0.2 in 2004.
- How does Sudan rank for dimension 1.5: data use by international organizations?
- Sudan ranks 185th out of 214 countries with data for 2023.
- Is dimension 1.5: data use by international organizations 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, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators), published as part of Dimension 1.5: Data use by international organizations. 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
Five measures usefulness or reliability of country produced measures for international organizations. First, on comparability of poverty estimates for the World Bank reporting on international poverty (Source: Povcalnet). Second on usable surveys for statistics on child mortality for the UN Inter-agency Group for Child Mortality Estimation (Source: https://childmortality.org/). Third on accuracy of debt reporting as classified by the World Bank (Source: World Bank WDI metadata). Fourth, on availability of safely managed drinking water data for use by JMP. Fifth, on labor force participation data for use by ILO. We recognize that these data sources provide only partial coverage but consider that they do at least provide some indication of the performance of the national statistical system. With more complete data sources it would be possible to assess this further