Sudan vs United States Virgin Islands: Dimension 1.5: Data use by international organizations
Dimension 1.5: Data use by international organizations over time
- Sudan
- United States Virgin Islands
How they compare
Sudan currently reports 0.466 against 0.4 in United States Virgin Islands, a difference of 0.066.
That makes Sudan's figure about 1.2 times United States Virgin Islands's.
Across all 20 years both countries report, Sudan has been ahead every year.
Sudan ranks 185th and United States Virgin Islands ranks 188th of 214 countries.
Sudan has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Sudan | United States Virgin Islands | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 0.2 | 0 | 0.2 | Sudan |
| 2010s | 0.4936 | 0.18 | 0.3136 | Sudan |
| 2020s | 0.517 | 0.4 | 0.117 | Sudan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher dimension 1.5: data use by international organizations, Sudan or United States Virgin Islands?
- Sudan, at 0.466 against 0.4 in United States Virgin Islands as of 2023.
- What is the difference in dimension 1.5: data use by international organizations between Sudan and United States Virgin Islands?
- 0.066, with Sudan ahead.
- How many years of comparable data are there for Sudan and United States Virgin Islands?
- 20 years are reported by both, from 2004 to 2023.
- How do Sudan and United States Virgin Islands rank globally for dimension 1.5: data use by international organizations?
- Sudan ranks 185th and United States Virgin Islands ranks 188th of 214 countries.
- Where does this data come from?
- Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators), published as Dimension 1.5: Data use by international organizations. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
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