Dimension 1.5: Data use by international organizations in Andorra
Andorra: Dimension 1.5: Data use by international organizations was 0.6 in 2023. ▲ Rising
Dimension 1.5: Data use by international organizations in Andorra, 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 Andorra stood at 0.6. That is the highest value across all 20 years on record.
That represents a change of up 50.0% over ten years.
Over the whole period, dimension 1.5: data use by international organizations in Andorra peaked at 0.6 in 2021 and was at its lowest, 0, in 2004.
Andorra ranks 148th of 214 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 20 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0.1667 | 0 | 0.2 | 6 |
| 2010s | 0.36 | 0 | 0.4 | 10 |
| 2020s | 0.55 | 0.4 | 0.6 | 4 |
Countries ranked near Andorra
- 145 Afghanistan 0.666 compare
- 145 Guinea 0.666 compare
- 145 Iran 0.666 compare
- 148 Antigua and Barbuda 0.6 compare
- 148 Bahamas 0.6 compare
- 148 Bahrain 0.6 compare
- 148 Cameroon 0.6 compare
- 148 Comoros 0.6 compare
- 148 Curacao 0.6 compare
- 148 Dominica 0.6 compare
- 148 Fiji 0.6 compare
- 148 Gabon 0.6 compare
- 148 Hong Kong 0.6 compare
- 148 Kuwait 0.6 compare
- 148 Lebanon 0.6 compare
- 148 Madagascar 0.6 compare
- 148 Monaco 0.6 compare
- 148 Namibia 0.6 compare
- 148 New Caledonia 0.6 compare
- 148 Nicaragua 0.6 compare
- 148 Papua New Guinea 0.6 compare
- 148 Sao Tome and Principe 0.6 compare
- 148 Saint Kitts and Nevis 0.6 compare
- 148 Tajikistan 0.6 compare
- 148 Trinidad and Tobago 0.6 compare
- 148 Turkmenistan 0.6 compare
- 148 Venezuela 0.6 compare
More reference data data for Andorra
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 0 (2019)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 0 (2019)
- Emission Totals - Emissions (CH4) - IPCC Agriculture 0 (2019)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - IPCC Agriculture 0 (2019)
- Summer temperature anomalies 2.74 °C (2026)
- Temperature anomalies by month -0.4109 °C (2026)
- Spring temperature anomalies 0.0254 °C (2026)
- Emission Totals - Emissions (CO2eq) (AR5) - IPCC Agriculture 0 (2019)
- Universal right to vote in practice 2 (2025)
- Universal right to vote 2 (2025)
Frequently asked questions
- What is dimension 1.5: data use by international organizations in Andorra?
- Dimension 1.5: data use by international organizations in Andorra was 0.6 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 Andorra?
- The highest recorded value was 0.6 in 2021.
- What is the lowest dimension 1.5: data use by international organizations recorded in Andorra?
- The lowest recorded value was 0 in 2004.
- How does Andorra rank for dimension 1.5: data use by international organizations?
- Andorra ranks 148th out of 214 countries with data for 2023.
- Is dimension 1.5: data use by international organizations rising or falling in Andorra?
- Over the last ten years it is up 50.0%. The long-run trend across the full record is rising.
- Where does this Andorra 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