Dimension 1.5: Data use by international organizations in Chad
Chad: Dimension 1.5: Data use by international organizations was 0.834 in 2023. ◆ Volatile
Dimension 1.5: Data use by international organizations in Chad, 2004–2023
Source: Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators).
Analysis
Chad recorded 0.834 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 178.0% over ten years.
Over the whole period, dimension 1.5: data use by international organizations in Chad peaked at 0.834 in 2022 and was at its lowest, 0.2, in 2004.
Chad ranks 100th 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 | 0.4098 | 0.2 | 0.6 | 10 |
| 2020s | 0.767 | 0.7 | 0.834 | 4 |
Countries ranked near Chad
- 98 Belarus 0.866 compare
- 98 Russia 0.866 compare
- 100 Brazil 0.834 compare
- 102 Algeria 0.8 compare
- 102 Angola 0.8 compare
- 102 Azerbaijan 0.8 compare
- 102 Bangladesh 0.8 compare
- 102 Barbados 0.8 compare
- 102 Brunei 0.8 compare
- 102 Cape Verde 0.8 compare
- 102 Cambodia 0.8 compare
- 102 Eswatini 0.8 compare
- 102 Ethiopia 0.8 compare
- 102 Ghana 0.8 compare
- 102 Guatemala 0.8 compare
- 102 Guyana 0.8 compare
- 102 India 0.8 compare
- 102 Iraq 0.8 compare
- 102 Jamaica 0.8 compare
- 102 Jordan 0.8 compare
- 102 Lesotho 0.8 compare
- 102 Malaysia 0.8 compare
- 102 Morocco 0.8 compare
- 102 Nepal 0.8 compare
- 102 Nigeria 0.8 compare
- 102 Panama 0.8 compare
- 102 Qatar 0.8 compare
- 102 Samoa 0.8 compare
- 102 Sierra Leone 0.8 compare
- 102 Somalia 0.8 compare
- 102 South Africa 0.8 compare
- 102 East Timor 0.8 compare
- 102 Tonga 0.8 compare
- 102 Uzbekistan 0.8 compare
More reference data data for Chad
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 14.01 (2050)
- Summer temperature anomalies 1 °C (2026)
- Temperature anomalies by month 3.03 °C (2026)
- Spring temperature anomalies 0.1244 °C (2026)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure Management 146.4 (2050)
- Emission Totals - Direct emissions (N2O) - Manure applied to Soils 0.7242 (2050)
- Emission Totals - Direct emissions (N2O) - IPCC Agriculture 46.55 (2050)
- Emission Totals - Direct emissions (N2O) - Crop Residues 0.7988 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Burning - Crop re 30.4 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure left on Pa 15,516 (2050)
Frequently asked questions
- What is dimension 1.5: data use by international organizations in Chad?
- Dimension 1.5: data use by international organizations in Chad was 0.834 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 Chad?
- The highest recorded value was 0.834 in 2022.
- What is the lowest dimension 1.5: data use by international organizations recorded in Chad?
- The lowest recorded value was 0.2 in 2004.
- How does Chad rank for dimension 1.5: data use by international organizations?
- Chad ranks 100th out of 214 countries with data for 2023.
- Is dimension 1.5: data use by international organizations rising or falling in Chad?
- Over the last ten years it is up 178.0%. The long-run trend across the full record is volatile.
- Where does this Chad 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