Dimension 1.5: Data use by international organizations in French Polynesia
French Polynesia: Dimension 1.5: Data use by international organizations was 0.4 in 2023. ◆ Volatile
Dimension 1.5: Data use by international organizations in French Polynesia, 2004–2023
Source: Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators).
Analysis
The most recent figure for dimension 1.5: data use by international organizations in French Polynesia is 0.4, measured in 2023.
Compared with earlier readings it is up 300.0% over ten years.
Over the whole period, dimension 1.5: data use by international organizations in French Polynesia peaked at 0.5 in 2016 and was at its lowest, 0, in 2004.
French Polynesia ranks 188th of 214 countries on this measure, in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0 | 0 | 0 | 6 |
| 2010s | 0.26 | 0.1 | 0.5 | 10 |
| 2020s | 0.4 | 0.4 | 0.4 | 4 |
Countries ranked near French Polynesia
- 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 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 French Polynesia
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.0148 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Agricultural Soil 15.99 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Crop Residues 0.0174 (2050)
- Emission Totals - Direct emissions (N2O) - Manure left on Pasture 0.0232 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Burning - Crop residues 0.003 (2050)
- Emission Totals - Direct emissions (N2O) - Agricultural Soils 0.0455 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Agricultural Soils 15.99 (2050)
- Emission Totals - Direct emissions (N2O) - Manure applied to Soils 0.0147 (2050)
- Emission Totals - Direct emissions (N2O) - IPCC Agriculture 0.0455 (2050)
- Emission Totals - Direct emissions (N2O) - Crop Residues 0.0001 (2050)
Frequently asked questions
- What is dimension 1.5: data use by international organizations in French Polynesia?
- Dimension 1.5: data use by international organizations in French Polynesia 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 French Polynesia?
- The highest recorded value was 0.5 in 2016.
- What is the lowest dimension 1.5: data use by international organizations recorded in French Polynesia?
- The lowest recorded value was 0 in 2004.
- How does French Polynesia rank for dimension 1.5: data use by international organizations?
- French Polynesia ranks 188th out of 214 countries with data for 2023.
- Is dimension 1.5: data use by international organizations rising or falling in French Polynesia?
- Over the last ten years it is up 300.0%. The long-run trend across the full record is volatile.
- Where does this French Polynesia 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