Statistical performance indicators (SPI): Pillar 4 data sources score in Zambia
Zambia: Statistical performance indicators (SPI): Pillar 4 data sources score was 42.28 scale 0-100 in 2024. ▼ Falling
Statistical performance indicators (SPI): Pillar 4 data sources score in Zambia, 2015–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
Zambia recorded 42.28 scale 0-100 for statistical performance indicators (spi): pillar 4 data sources score in 2024.
The figure is up 13.3% on the previous year and up 1.2% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Zambia peaked at 44.05 scale 0-100 in 2016 and was at its lowest, 32.52 scale 0-100, in 2021.
Zambia ranks 140th of 182 countries on this measure, in the bottom quarter.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 42.77 scale 0-100 | 41.77 scale 0-100 | 44.05 scale 0-100 | 5 |
| 2020s | 38.4 scale 0-100 | 32.52 scale 0-100 | 42.55 scale 0-100 | 5 |
Countries ranked near Zambia
- 137 Cote d'Ivoire 43.38 scale 0-100 compare
- 138 Mali 43.33 scale 0-100 compare
- 139 East Timor 42.79 scale 0-100 compare
- 141 Trinidad and Tobago 41.71 scale 0-100 compare
- 142 Sierra Leone 41.69 scale 0-100 compare
- 143 Niger 40.77 scale 0-100 compare
More public sector data for Zambia
- Arms imports 1.00 million SIPRI trend indicator values (2024)
- Tax revenue 18.8% (2024)
- Taxes on income, profits and capital gains 35.1% (2024)
- Taxes on goods and services 31.8% (2024)
- Net investment in nonfinancial assets 5.2% (2024)
- Net lending (+) / net borrowing (-) -3.2% (2024)
- Interest payments 28.3% (2024)
- Grants and other revenue 25.3% (2024)
- Interest payments 26.5% (2021)
- Other taxes 2.5% (2024)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 4 data sources score in Zambia?
- Statistical performance indicators (spi): pillar 4 data sources score in Zambia was 42.28 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
- What is the highest statistical performance indicators (spi): pillar 4 data sources score recorded in Zambia?
- The highest recorded value was 44.05 scale 0-100 in 2016.
- What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Zambia?
- The lowest recorded value was 32.52 scale 0-100 in 2021.
- How does Zambia rank for statistical performance indicators (spi): pillar 4 data sources score?
- Zambia ranks 140th out of 182 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Zambia?
- Over the last ten years it is up 1.2%. The long-run trend across the full record is falling.
- Where does this Zambia data come from?
- The figures come from Statistical Performance Indicators, World Bank (WB), published as part of Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100). Statizoid updates them automatically from the source API.
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About this data
The data sources overall score is a composite measure of whether countries have data available from the following sources: Censuses and surveys, administrative data, geospatial data, and private sector/citizen generated data. The data sources (input) pillar is segmented by four types of sources generated by (i) the statistical office (censuses and surveys), and sources accessed from elsewhere such as (ii) administrative data, (iii) geospatial data, and (iv) private sector data and citizen generated data. The appropriate balance between these source types will vary depending on a country's institutional setting and the maturity of its statistical system. High scores should reflect the extent to which the sources being utilized enable the necessary statistical indicators to be generated. For example, a low score on environment statistics (in the data production pillar) may reflect a lack of use of (and low score for) geospatial data (in the data sources pillar). This type of linkage is inherent in the data cycle approach and can help highlight areas for investment required if country needs are to be met.