Dimension 1.5: Data use by international organizations in Somalia
Somalia: Dimension 1.5: Data use by international organizations was 0.8 in 2023. ◆ Volatile
Dimension 1.5: Data use by international organizations in Somalia, 2004–2023
Source: Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators).
Analysis
In 2023, dimension 1.5: data use by international organizations in Somalia stood at 0.8. That is the highest value across all 20 years on record.
The figure is up 381.9% over five years.
Over the whole period, dimension 1.5: data use by international organizations in Somalia peaked at 0.8 in 2020 and was at its lowest, 0, in 2012.
That places Somalia 102nd out of 214 countries with data for 2023, putting it 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 | 0.1464 | 0 | 0.466 | 10 |
| 2020s | 0.8 | 0.8 | 0.8 | 4 |
Countries ranked near Somalia
- 100 Brazil 0.834 compare
- 100 Chad 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 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 Somalia
- Emission Totals - Emissions (CH4) - Burning - Crop residues 0.4444 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.3652 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 41.78 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied to 234.3 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 43.31 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure Management 96.78 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Enteric Fermentation 28,272 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Crop Residues 71.14 (2050)
- Emission Totals - Emissions (CH4) - Enteric Fermentation 1,010 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.2685 (2050)
Frequently asked questions
- What is dimension 1.5: data use by international organizations in Somalia?
- Dimension 1.5: data use by international organizations in Somalia was 0.8 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 Somalia?
- The highest recorded value was 0.8 in 2020.
- What is the lowest dimension 1.5: data use by international organizations recorded in Somalia?
- The lowest recorded value was 0 in 2012.
- How does Somalia rank for dimension 1.5: data use by international organizations?
- Somalia ranks 102nd out of 214 countries with data for 2023.
- Where does this Somalia 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