Dimension 1.5: Data use by international organizations in South Sudan
South Sudan: Dimension 1.5: Data use by international organizations was 0.4 in 2023. ▲ Rising
Dimension 1.5: Data use by international organizations in South Sudan, 2004–2023
Source: Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators).
Analysis
South Sudan recorded 0.4 for dimension 1.5: data use by international organizations in 2023. That is the highest value across all 20 years on record.
Compared with earlier readings it is up 33.3% over ten years.
Over the whole period, dimension 1.5: data use by international organizations in South Sudan peaked at 0.4 in 2020 and was at its lowest, 0, in 2014.
That places South Sudan 188th 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 | 0.22 | 0 | 0.3 | 10 |
| 2020s | 0.4 | 0.4 | 0.4 | 4 |
Countries ranked near South Sudan
- 185 Sudan 0.466 compare
- 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 Saint Martin (French part) 0.4 compare
- 188 United States Virgin Islands 0.4 compare
More reference data data for South Sudan
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0368 (2019)
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.3667 (2019)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 7 (2019)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 7.41 (2019)
- Spring temperature anomalies -2.16 °C (2026)
- Temperature anomalies by month -0.2213 °C (2026)
- Summer temperature anomalies 2.51 °C (2026)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - IPCC Agriculture 26,453 (2019)
- Emission Totals - Emissions (CO2eq) (AR5) - Manure Management 684.53 (2019)
- Emission Totals - Emissions (CO2eq) (AR5) - Manure applied to Soils 325.82 (2019)
Frequently asked questions
- What is dimension 1.5: data use by international organizations in South Sudan?
- Dimension 1.5: data use by international organizations in South Sudan was 0.4 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 South Sudan?
- The highest recorded value was 0.4 in 2020.
- What is the lowest dimension 1.5: data use by international organizations recorded in South Sudan?
- The lowest recorded value was 0 in 2014.
- How does South Sudan rank for dimension 1.5: data use by international organizations?
- South Sudan ranks 188th out of 214 countries with data for 2023.
- Is dimension 1.5: data use by international organizations rising or falling in South Sudan?
- Over the last ten years it is up 33.3%. 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, 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