Dimension 1.5: Data use by international organizations in Isle of Man
Isle of Man: Dimension 1.5: Data use by international organizations was 0.4 in 2023. β Volatile
Dimension 1.5: Data use by international organizations in Isle of Man, 2004β2023
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 Isle of Man 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 Isle of Man peaked at 0.5 in 2017 and was at its lowest, 0, in 2004.
That places Isle of Man 190th out of 217 countries with data for 2023, putting it 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 | 0.45 | 0.4 | 0.5 | 4 |
Countries ranked near Isle of Man
- 187 Sudan 0.466 compare
- 187 Suriname 0.466 compare
- 187 Syria 0.466 compare
- 190 American Samoa 0.4 compare
- 190 Aruba 0.4 compare
- 190 Bermuda 0.4 compare
- 190 British Virgin Islands 0.4 compare
- 190 Channel Islands 0.4 compare
- 190 Cuba 0.4 compare
- 190 Faroe Islands 0.4 compare
- 190 French Polynesia 0.4 compare
- 190 Gibraltar 0.4 compare
- 190 Greenland 0.4 compare
- 190 Guam 0.4 compare
- 190 Northern Mariana Islands 0.4 compare
- 190 Puerto Rico 0.4 compare
- 190 South Sudan 0.4 compare
- 190 Saint Martin (French Part) 0.4 compare
- 190 United States Virgin Islands 0.4 compare
More reference data data for Isle of Man
- Emission Totals - Emissions (CO2eq) (AR5) - Agricultural Soils 3.38 (2019)
- Emission Totals - Emissions (CH4) - IPCC Agriculture 0 (2019)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 0.0128 (2019)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Agricultural 3.38 (2019)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - IPCC Agriculture 0 (2019)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 3.38 (2019)
- Emission Totals - Emissions (CO2eq) (AR5) - IPCC Agriculture 3.38 (2019)
- Spring temperature anomalies 1.24 (2026)
- Emission Totals - Emissions (N2O) - Agricultural Soils 0.0128 (2019)
- Country level monthly temperature anomalies -0.1903 (2026)
Frequently asked questions
- What is dimension 1.5: data use by international organizations in Isle of Man?
- Dimension 1.5: data use by international organizations in Isle of Man 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 Isle of Man?
- The highest recorded value was 0.5 in 2017.
- What is the lowest dimension 1.5: data use by international organizations recorded in Isle of Man?
- The lowest recorded value was 0 in 2004.
- How does Isle of Man rank for dimension 1.5: data use by international organizations?
- Isle of Man ranks 190th out of 217 countries with data for 2023.
- Is dimension 1.5: data use by international organizations rising or falling in Isle of Man?
- Over the last ten years it is up 300.0%. The long-run trend across the full record is volatile.
- Where does this Isle of Man 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 Β· JSON β 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