Dimension 1.5: Data use by international organizations in Syrian Arab Republic
Syrian Arab Republic: Dimension 1.5: Data use by international organizations was 0.466 in 2023. ▬ Flat
Dimension 1.5: Data use by international organizations in Syrian Arab Republic, 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 Syrian Arab Republic stood at 0.466.
Compared with earlier readings it is down 6.8% over ten years.
Over the whole period, dimension 1.5: data use by international organizations in Syrian Arab Republic peaked at 0.6 in 2010 and was at its lowest, 0.166, in 2017.
That places Syrian Arab Republic 185th out of 214 countries with data for 2023, putting it in the bottom quarter.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0.3167 | 0.3 | 0.4 | 6 |
| 2010s | 0.3864 | 0.166 | 0.6 | 10 |
| 2020s | 0.416 | 0.366 | 0.466 | 4 |
Countries ranked near Syrian Arab Republic
- 185 Sudan 0.466 compare
- 185 Suriname 0.466 compare
- 188 American Samoa 0.4 compare
- 188 Aruba 0.4 compare
- 188 Bermuda 0.4 compare
- 188 British Virgin Islands 0.4 compare
- 188 Cuba 0.4 compare
- 188 Faroe Islands 0.4 compare
- 188 French Polynesia 0.4 compare
- 188 Gibraltar 0.4 compare
- 188 Greenland 0.4 compare
- 188 Guam 0.4 compare
- 188 Isle of Man 0.4 compare
- 188 Northern Mariana Islands 0.4 compare
- 188 Puerto Rico (US) 0.4 compare
- 188 South Sudan 0.4 compare
- 188 Saint Martin (French part) 0.4 compare
- 188 United States Virgin Islands 0.4 compare
More reference data data for Syrian Arab Republic
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 4.23 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 7.23 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 7.23 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.5377 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.1191 (2050)
- Summer temperature anomalies 0.329 °C (2026)
- Temperature anomalies by month -0.3623 °C (2026)
- Spring temperature anomalies -1.58 °C (2026)
- Emission Totals - Emissions (CO2eq) (AR5) - Burning - Crop residues 121.57 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 7,753 (2050)
Frequently asked questions
- What is dimension 1.5: data use by international organizations in Syrian Arab Republic?
- Dimension 1.5: data use by international organizations in Syrian Arab Republic was 0.466 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 Syrian Arab Republic?
- The highest recorded value was 0.6 in 2010.
- What is the lowest dimension 1.5: data use by international organizations recorded in Syrian Arab Republic?
- The lowest recorded value was 0.166 in 2017.
- How does Syrian Arab Republic rank for dimension 1.5: data use by international organizations?
- Syrian Arab Republic ranks 185th out of 214 countries with data for 2023.
- Is dimension 1.5: data use by international organizations rising or falling in Syrian Arab Republic?
- Over the last ten years it is down 6.8%. The long-run trend across the full record is flat.
- Where does this Syrian Arab Republic 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