Dimension 1.5: Data use by international organizations in Sint Maarten (Dutch part)
Sint Maarten (Dutch part): Dimension 1.5: Data use by international organizations was 0.3 in 2023. ◆ Volatile
Dimension 1.5: Data use by international organizations in Sint Maarten (Dutch part), 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 Sint Maarten (Dutch part) is 0.3, measured in 2023. That is the highest value across all 20 years on record.
The figure is unchanged over five years.
Over the whole period, dimension 1.5: data use by international organizations in Sint Maarten (Dutch part) peaked at 0.3 in 2016 and was at its lowest, 0, in 2004.
Sint Maarten (Dutch part) 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 | 0.13 | 0 | 0.3 | 10 |
| 2020s | 0.3 | 0.3 | 0.3 | 4 |
Countries ranked near Sint Maarten (Dutch part)
- 204 Eritrea 0.366 compare
- 204 Yemen 0.366 compare
- 206 Cayman Islands 0.3 compare
- 206 Equatorial Guinea 0.3 compare
- 206 Marshall Islands 0.3 compare
- 206 Solomon Islands 0.3 compare
- 206 Turks and Caicos Islands 0.3 compare
More reference data data for Sint Maarten (Dutch part)
- Consumer price index 116.64 2010 = 100 (2017)
- Wealth share of the richest 1% 27.5% (2024)
- Share of men expected to survive to the age of 65 80.8% (2024)
- Share of men and women expected to survive to the age of 65 89.4% (2024)
- Seafood production: wild fish catch vs. aquaculture 0 metric tons (2024)
- Fertility rate: births per woman 1.45 live births per woman (2023)
- Land area in square kilometres 34 sq. km (2023)
- Average age of mothers at childbirth 28.9 years (2023)
- Land area in hectares 3,400 hectares (2023)
- Fertility rate vs. Human Development Index 1.45 live births per woman (2023)
Frequently asked questions
- What is dimension 1.5: data use by international organizations in Sint Maarten (Dutch part)?
- Dimension 1.5: data use by international organizations in Sint Maarten (Dutch part) 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 Sint Maarten (Dutch part)?
- The highest recorded value was 0.3 in 2016.
- What is the lowest dimension 1.5: data use by international organizations recorded in Sint Maarten (Dutch part)?
- The lowest recorded value was 0 in 2004.
- How does Sint Maarten (Dutch part) rank for dimension 1.5: data use by international organizations?
- Sint Maarten (Dutch part) ranks 206th out of 214 countries with data for 2023.
- Where does this Sint Maarten (Dutch part) 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