Dimension 1.5: Data use by international organizations in Saint Lucia
Saint Lucia: Dimension 1.5: Data use by international organizations was 0.7 in 2023. ◆ Volatile
Dimension 1.5: Data use by international organizations in Saint Lucia, 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 Saint Lucia is 0.7, measured in 2023.
Compared with earlier readings it is up 75.0% over ten years.
Over the whole period, dimension 1.5: data use by international organizations in Saint Lucia peaked at 1 in 2016 and was at its lowest, 0, in 2006.
Saint Lucia ranks 134th 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 | 0.1333 | 0 | 0.2 | 6 |
| 2010s | 0.68 | 0.4 | 1 | 10 |
| 2020s | 0.75 | 0.7 | 0.9 | 4 |
Countries ranked near Saint Lucia
- 133 China 0.734 compare
- 134 Belize 0.7 compare
- 134 Bosnia and Herzegovina 0.7 compare
- 134 Burundi 0.7 compare
- 134 Democratic Republic of Congo 0.7 compare
- 134 Grenada 0.7 compare
- 134 Maldives 0.7 compare
- 134 Mozambique 0.7 compare
- 134 Oman 0.7 compare
- 134 San Marino 0.7 compare
- 134 Saudi Arabia 0.7 compare
More reference data data for Saint Lucia
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.0143 (2050)
- Emission Totals - Direct emissions (N2O) - Manure applied to Soils 0.0146 (2050)
- Emission Totals - Emissions (CH4) - Enteric Fermentation 1.03 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Crop Residues 0.0024 (1979)
- Emission Totals - Direct emissions (N2O) - Manure left on Pasture 0.0325 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Burning - Crop residues 0 (1980)
- Emission Totals - Direct emissions (N2O) - Agricultural Soils 0.0471 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Agricultural Soils 16.27 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure left on Pa 10.75 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied to 5.52 (2050)
Frequently asked questions
- What is dimension 1.5: data use by international organizations in Saint Lucia?
- Dimension 1.5: data use by international organizations in Saint Lucia was 0.7 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 Saint Lucia?
- The highest recorded value was 1 in 2016.
- What is the lowest dimension 1.5: data use by international organizations recorded in Saint Lucia?
- The lowest recorded value was 0 in 2006.
- How does Saint Lucia rank for dimension 1.5: data use by international organizations?
- Saint Lucia ranks 134th out of 214 countries with data for 2023.
- Is dimension 1.5: data use by international organizations rising or falling in Saint Lucia?
- Over the last ten years it is up 75.0%. The long-run trend across the full record is volatile.
- Where does this Saint Lucia 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