Puerto Rico vs South Sudan: Dimension 1.5: Data use by international organizations
Dimension 1.5: Data use by international organizations over time
- Puerto Rico
- South Sudan
How they compare
Puerto Rico currently reports 0.4 against 0.4 in South Sudan, a difference of 0.
The two have swapped places 2 times across 20 shared years of data; in 2004 it was South Sudan ahead.
Puerto Rico ranks 190th and South Sudan ranks 190th of 217 countries.
Across the 3 decades both report, Puerto Rico averaged higher in 2 and South Sudan in 1.
Head to head by decade
| Decade | Puerto Rico | South Sudan | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 0 | 0.2 | 0.2 | South Sudan |
| 2010s | 0.38 | 0.22 | 0.16 | Puerto Rico |
| 2020s | 0.45 | 0.4 | 0.05 | Puerto Rico |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher dimension 1.5: data use by international organizations, Puerto Rico or South Sudan?
- Puerto Rico, at 0.4 against 0.4 in South Sudan as of 2023.
- What is the difference in dimension 1.5: data use by international organizations between Puerto Rico and South Sudan?
- 0, with Puerto Rico ahead.
- How many years of comparable data are there for Puerto Rico and South Sudan?
- 20 years are reported by both, from 2004 to 2023.
- How do Puerto Rico and South Sudan rank globally for dimension 1.5: data use by international organizations?
- Puerto Rico ranks 190th and South Sudan ranks 190th of 217 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