Dimension 1.5: Data use by international organizations in Curacao
Curacao: Dimension 1.5: Data use by international organizations was 0.6 in 2023. ◆ Volatile
Dimension 1.5: Data use by international organizations in Curacao, 2004–2023
Source: Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators).
Analysis
Curacao 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 200.0% over ten years.
Over the whole period, dimension 1.5: data use by international organizations in Curacao peaked at 0.6 in 2016 and was at its lowest, 0, in 2004.
That places Curacao 148th out of 214 countries with data for 2023, putting it 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 | 0.36 | 0 | 0.6 | 10 |
| 2020s | 0.6 | 0.6 | 0.6 | 4 |
Countries ranked near Curacao
- 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 Dominica 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 Curacao
- Consumer price index 115.53 2010 = 100 (2019)
- Wealth share of the richest 1% 27.6% (2024)
- Share of men expected to survive to the age of 65 78.0% (2024)
- Seafood production: wild fish catch vs. aquaculture 1 metric tons (2024)
- Share of men and women expected to survive to the age of 65 90.8% (2024)
- Fertility rate: births per woman 1.07 live births per woman (2023)
- Average age of mothers at childbirth 29.97 years (2023)
- Land area in hectares 44,400 hectares (2023)
- Land area in square kilometres 444 sq. km (2023)
- Fertility rate: births per woman 1.07 live births per woman (2023)
Frequently asked questions
- What is dimension 1.5: data use by international organizations in Curacao?
- Dimension 1.5: data use by international organizations in Curacao 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 Curacao?
- The highest recorded value was 0.6 in 2016.
- What is the lowest dimension 1.5: data use by international organizations recorded in Curacao?
- The lowest recorded value was 0 in 2004.
- How does Curacao rank for dimension 1.5: data use by international organizations?
- Curacao ranks 148th out of 214 countries with data for 2023.
- Is dimension 1.5: data use by international organizations rising or falling in Curacao?
- Over the last ten years it is up 200.0%. The long-run trend across the full record is volatile.
- Where does this Curacao 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