Dimension 1.5: Data use by international organizations in Congo
Congo: Dimension 1.5: Data use by international organizations was 0.5 in 2023. ▲ Rising
Dimension 1.5: Data use by international organizations in Congo, 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 Congo is 0.5, measured in 2023.
The figure is unchanged over ten years.
Over the whole period, dimension 1.5: data use by international organizations in Congo peaked at 0.9 in 2016 and was at its lowest, 0.2, in 2004.
That places Congo 174th out of 214 countries with data for 2023, putting it in the bottom quarter.
The long-run direction has been consistently rising across the 20 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0.2 | 0.2 | 0.2 | 6 |
| 2010s | 0.6 | 0.4 | 0.9 | 10 |
| 2020s | 0.5 | 0.5 | 0.5 | 4 |
Countries ranked near Congo
- 173 Vanuatu 0.566 compare
- 174 Botswana 0.5 compare
- 174 Central African Republic 0.5 compare
- 174 Haiti 0.5 compare
- 174 Kiribati 0.5 compare
- 174 Liechtenstein 0.5 compare
- 174 Macao 0.5 compare
- 174 Nauru 0.5 compare
- 174 Palau 0.5 compare
- 174 Saint Vincent and the Grenadines 0.5 compare
- 174 Tuvalu 0.5 compare
More reference data data for Congo
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.2108 (2050)
- Spring temperature anomalies 0.3226 °C (2026)
- Temperature anomalies by month 0.8729 °C (2026)
- Summer temperature anomalies 0.6423 °C (2026)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure left on Pa 241.83 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - IPCC Agriculture 490.66 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Agricultural Soil 265.29 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Crop Residues 4.5 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Enteric Fermentat 461.27 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Burning - Crop re 3.51 (2050)
Frequently asked questions
- What is dimension 1.5: data use by international organizations in Congo?
- Dimension 1.5: data use by international organizations in Congo was 0.5 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 Congo?
- The highest recorded value was 0.9 in 2016.
- What is the lowest dimension 1.5: data use by international organizations recorded in Congo?
- The lowest recorded value was 0.2 in 2004.
- How does Congo rank for dimension 1.5: data use by international organizations?
- Congo ranks 174th out of 214 countries with data for 2023.
- Is dimension 1.5: data use by international organizations rising or falling in Congo?
- Over the last ten years it is unchanged. The long-run trend across the full record is rising.
- Where does this Congo 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