Dimension 1.5: Data use by international organizations in Cayman Islands
Cayman Islands: Dimension 1.5: Data use by international organizations was 0.3 in 2023. ◆ Volatile
Dimension 1.5: Data use by international organizations in Cayman Islands, 2004–2023
Source: Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators).
Analysis
Cayman Islands recorded 0.3 for dimension 1.5: data use by international organizations in 2023.
The figure is up 50.0% over ten years.
Over the whole period, dimension 1.5: data use by international organizations in Cayman Islands peaked at 0.5 in 2016 and was at its lowest, 0, in 2004.
Cayman Islands ranks 206th 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 | 0.33 | 0.2 | 0.5 | 10 |
| 2020s | 0.35 | 0.3 | 0.5 | 4 |
Countries ranked near Cayman Islands
- 204 Eritrea 0.366 compare
- 204 Yemen 0.366 compare
- 206 Equatorial Guinea 0.3 compare
- 206 Marshall Islands 0.3 compare
- 206 Sint Maarten (Dutch part) 0.3 compare
- 206 Solomon Islands 0.3 compare
- 206 Turks and Caicos Islands 0.3 compare
More reference data data for Cayman Islands
- Emission Totals - Emissions (CO2eq) (AR5) - IPCC Agriculture 0 (2019)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - IPCC Agriculture 0 (2019)
- Emission Totals - Emissions (CH4) - IPCC Agriculture 0 (2019)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 0 (2019)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 0 (2019)
- Temperature anomalies by month 0.359 °C (2026)
- Spring temperature anomalies 0.4176 °C (2026)
- Summer temperature anomalies 0.8137 °C (2026)
- Official exchange rate, LCU per USD, period average 0.8333 (2026)
- Precipitation anomalies -379.98 millimeters (2025)
Frequently asked questions
- What is dimension 1.5: data use by international organizations in Cayman Islands?
- Dimension 1.5: data use by international organizations in Cayman Islands was 0.3 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 Cayman Islands?
- The highest recorded value was 0.5 in 2016.
- What is the lowest dimension 1.5: data use by international organizations recorded in Cayman Islands?
- The lowest recorded value was 0 in 2004.
- How does Cayman Islands rank for dimension 1.5: data use by international organizations?
- Cayman Islands ranks 206th out of 214 countries with data for 2023.
- Is dimension 1.5: data use by international organizations rising or falling in Cayman Islands?
- Over the last ten years it is up 50.0%. The long-run trend across the full record is volatile.
- Where does this Cayman Islands 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