Dimension 1.5: Data use by international organizations in Zambia
Zambia: Dimension 1.5: Data use by international organizations was 0.9 in 2023. ▲ Rising
Dimension 1.5: Data use by international organizations in Zambia, 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 Zambia is 0.9, measured in 2023. That is the highest value across all 20 years on record.
That represents a change of up 125.0% over ten years.
Over the whole period, dimension 1.5: data use by international organizations in Zambia peaked at 0.9 in 2017 and was at its lowest, 0.4, in 2004.
That places Zambia 66th 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 | 0.4 | 0.4 | 0.4 | 6 |
| 2010s | 0.62 | 0.4 | 0.9 | 10 |
| 2020s | 0.875 | 0.8 | 0.9 | 4 |
Countries ranked near Zambia
- 66 Argentina 0.9 compare
- 66 Australia 0.9 compare
- 66 Benin 0.9 compare
- 66 Bhutan 0.9 compare
- 66 Egypt 0.9 compare
- 66 El Salvador 0.9 compare
- 66 Gambia 0.9 compare
- 66 Guinea-Bissau 0.9 compare
- 66 Honduras 0.9 compare
- 66 Ireland 0.9 compare
- 66 Kazakhstan 0.9 compare
- 66 Kenya 0.9 compare
- 66 Laos 0.9 compare
- 66 Liberia 0.9 compare
- 66 Lithuania 0.9 compare
- 66 Malawi 0.9 compare
- 66 Mauritania 0.9 compare
- 66 Mauritius 0.9 compare
- 66 Montenegro 0.9 compare
- 66 Myanmar 0.9 compare
- 66 Pakistan 0.9 compare
- 66 Paraguay 0.9 compare
- 66 Rwanda 0.9 compare
- 66 Seychelles 0.9 compare
- 66 Slovakia 0.9 compare
- 66 Tanzania 0.9 compare
- 66 Togo 0.9 compare
- 66 Tunisia 0.9 compare
- 66 Turkey 0.9 compare
- 66 United Arab Emirates 0.9 compare
- 66 Palestine 0.9 compare
More reference data data for Zambia
- Spring temperature anomalies -0.0386 °C (2026)
- Summer temperature anomalies -0.018 °C (2026)
- Temperature anomalies by month 0.3261 °C (2026)
- Exchange rate, new LCU per USD extended backward, period average 19.51 (2026)
- Exchange rate, old LCU per USD extended forward, period average 19.51 (2026)
- Official exchange rate, LCU per USD, period average 19.51 (2026)
- Universal right to vote in practice 2 (2025)
- Autumn temperature anomalies 0.5273 °C (2025)
- Winter temperature anomalies -0.2981 °C (2025)
- Consumer price index 483.32 2010 = 100 (2025)
Frequently asked questions
- What is dimension 1.5: data use by international organizations in Zambia?
- Dimension 1.5: data use by international organizations in Zambia was 0.9 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 Zambia?
- The highest recorded value was 0.9 in 2017.
- What is the lowest dimension 1.5: data use by international organizations recorded in Zambia?
- The lowest recorded value was 0.4 in 2004.
- How does Zambia rank for dimension 1.5: data use by international organizations?
- Zambia ranks 66th out of 214 countries with data for 2023.
- Is dimension 1.5: data use by international organizations rising or falling in Zambia?
- Over the last ten years it is up 125.0%. The long-run trend across the full record is rising.
- Where does this Zambia 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