Dimension 1.5: Data use by international organizations in Benin
Benin: Dimension 1.5: Data use by international organizations was 0.9 in 2023. ◆ Volatile
Dimension 1.5: Data use by international organizations in Benin, 2004–2023
Source: Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators).
Analysis
Benin recorded 0.9 for dimension 1.5: data use by international organizations in 2023. That is the highest value across all 20 years on record.
That represents a change of up 200.0% over ten years.
Over the whole period, dimension 1.5: data use by international organizations in Benin peaked at 0.9 in 2016 and was at its lowest, 0.2, in 2004.
Benin ranks 66th 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 | 0.2 | 0.2 | 0.2 | 6 |
| 2010s | 0.54 | 0.3 | 0.9 | 10 |
| 2020s | 0.875 | 0.8 | 0.9 | 4 |
Countries ranked near Benin
- 66 Argentina 0.9 compare
- 66 Australia 0.9 compare
- 66 Bhutan 0.9 compare
- 66 Egypt 0.9 compare
- 66 El Salvador 0.9 compare
- 66 Gambia 0.9 compare
- 66 Guinea-Bissau 0.9 compare
- 66 Honduras 0.9 compare
- 66 Ireland 0.9 compare
- 66 Kazakhstan 0.9 compare
- 66 Kenya 0.9 compare
- 66 Laos 0.9 compare
- 66 Liberia 0.9 compare
- 66 Lithuania 0.9 compare
- 66 Malawi 0.9 compare
- 66 Mauritania 0.9 compare
- 66 Mauritius 0.9 compare
- 66 Montenegro 0.9 compare
- 66 Myanmar 0.9 compare
- 66 Pakistan 0.9 compare
- 66 Paraguay 0.9 compare
- 66 Rwanda 0.9 compare
- 66 Seychelles 0.9 compare
- 66 Slovakia 0.9 compare
- 66 Tanzania 0.9 compare
- 66 Togo 0.9 compare
- 66 Tunisia 0.9 compare
- 66 Turkey 0.9 compare
- 66 United Arab Emirates 0.9 compare
- 66 Palestine 0.9 compare
- 66 Zambia 0.9 compare
More reference data data for Benin
- Emission Totals - Emissions (N2O) - IPCC Agriculture 10.71 (2050)
- Emission Totals - Emissions (CH4) - Manure Management 7.91 (2050)
- Emission Totals - Emissions (CH4) - IPCC Agriculture 156.35 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.8505 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.5244 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 8.56 (2050)
- Emission Totals - Emissions (CH4) - Burning - Crop residues 3.4 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Manure Management 221.52 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 2.03 (2050)
- Emission Totals - Emissions (N2O) - Burning - Crop residues 0.0882 (2050)
Frequently asked questions
- What is dimension 1.5: data use by international organizations in Benin?
- Dimension 1.5: data use by international organizations in Benin was 0.9 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 Benin?
- The highest recorded value was 0.9 in 2016.
- What is the lowest dimension 1.5: data use by international organizations recorded in Benin?
- The lowest recorded value was 0.2 in 2004.
- How does Benin rank for dimension 1.5: data use by international organizations?
- Benin ranks 66th out of 214 countries with data for 2023.
- Is dimension 1.5: data use by international organizations rising or falling in Benin?
- Over the last ten years it is up 200.0%. The long-run trend across the full record is volatile.
- Where does this Benin 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