Dimension 1.5: Data use by international organizations in Dominica
Dominica: Dimension 1.5: Data use by international organizations was 0.6 in 2023. ◆ Volatile
Dimension 1.5: Data use by international organizations in Dominica, 2004–2023
Source: Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators).
Analysis
Dominica recorded 0.6 for dimension 1.5: data use by international organizations in 2023. That is the highest value across all 20 years on record.
The figure is up 50.0% over five years.
Over the whole period, dimension 1.5: data use by international organizations in Dominica peaked at 0.6 in 2016 and was at its lowest, 0, in 2004.
Dominica ranks 148th of 214 countries on this measure, in the middle of the range.
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 | 0.24 | 0 | 0.6 | 10 |
| 2020s | 0.55 | 0.4 | 0.6 | 4 |
Countries ranked near Dominica
- 145 Afghanistan 0.666 compare
- 145 Guinea 0.666 compare
- 145 Iran 0.666 compare
- 148 Andorra 0.6 compare
- 148 Antigua and Barbuda 0.6 compare
- 148 Bahamas 0.6 compare
- 148 Bahrain 0.6 compare
- 148 Cameroon 0.6 compare
- 148 Comoros 0.6 compare
- 148 Curacao 0.6 compare
- 148 Fiji 0.6 compare
- 148 Gabon 0.6 compare
- 148 Hong Kong 0.6 compare
- 148 Kuwait 0.6 compare
- 148 Lebanon 0.6 compare
- 148 Madagascar 0.6 compare
- 148 Monaco 0.6 compare
- 148 Namibia 0.6 compare
- 148 New Caledonia 0.6 compare
- 148 Nicaragua 0.6 compare
- 148 Papua New Guinea 0.6 compare
- 148 Sao Tome and Principe 0.6 compare
- 148 Saint Kitts and Nevis 0.6 compare
- 148 Tajikistan 0.6 compare
- 148 Trinidad and Tobago 0.6 compare
- 148 Turkmenistan 0.6 compare
- 148 Venezuela 0.6 compare
More reference data data for Dominica
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.0139 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - IPCC Agriculture 58.13 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Manure applied to Soils 4.2 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Manure Management 2.69 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure left on Pa 9.13 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure Management 1.34 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied to 4.2 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 17.31 (2050)
- Emission Totals - Direct emissions (N2O) - Manure left on Pasture 0.0277 (2050)
- Emission Totals - Direct emissions (N2O) - Agricultural Soils 0.0463 (2050)
Frequently asked questions
- What is dimension 1.5: data use by international organizations in Dominica?
- Dimension 1.5: data use by international organizations in Dominica was 0.6 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 Dominica?
- The highest recorded value was 0.6 in 2016.
- What is the lowest dimension 1.5: data use by international organizations recorded in Dominica?
- The lowest recorded value was 0 in 2004.
- How does Dominica rank for dimension 1.5: data use by international organizations?
- Dominica ranks 148th out of 214 countries with data for 2023.
- Where does this Dominica 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