Dimension 1.5: Data use by international organizations in Fiji
Fiji: Dimension 1.5: Data use by international organizations was 0.6 in 2023. ▲ Rising
Dimension 1.5: Data use by international organizations in Fiji, 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 Fiji is 0.6, measured in 2023.
Compared with earlier readings it is unchanged over ten years.
Over the whole period, dimension 1.5: data use by international organizations in Fiji peaked at 0.9 in 2016 and was at its lowest, 0.2, in 2004.
That places Fiji 148th out of 214 countries with data for 2023, putting it 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 | 0.2333 | 0.2 | 0.3 | 6 |
| 2010s | 0.67 | 0.5 | 0.9 | 10 |
| 2020s | 0.725 | 0.6 | 0.9 | 4 |
Countries ranked near Fiji
- 145 Afghanistan 0.666 compare
- 145 Guinea 0.666 compare
- 145 Iran 0.666 compare
- 148 Andorra 0.6 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 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 Fiji
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied to 60.73 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 1.05 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 1.62 (2050)
- Emission Totals - Emissions (N2O) - Agricultural Soils 1.44 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.307 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.1685 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.0049 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 428.11 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.1992 (2050)
- Emission Totals - Emissions (N2O) - Burning - Crop residues 0.0034 (2050)
Frequently asked questions
- What is dimension 1.5: data use by international organizations in Fiji?
- Dimension 1.5: data use by international organizations in Fiji 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 Fiji?
- The highest recorded value was 0.9 in 2016.
- What is the lowest dimension 1.5: data use by international organizations recorded in Fiji?
- The lowest recorded value was 0.2 in 2004.
- How does Fiji rank for dimension 1.5: data use by international organizations?
- Fiji ranks 148th out of 214 countries with data for 2023.
- Is dimension 1.5: data use by international organizations rising or falling in Fiji?
- Over the last ten years it is unchanged. The long-run trend across the full record is rising.
- Where does this Fiji 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