Statistical performance indicators (SPI): Pillar 4 data sources score in Mali
Mali: Statistical performance indicators (SPI): Pillar 4 data sources score was 43.33 scale 0-100 in 2024. ▼ Falling
Statistical performance indicators (SPI): Pillar 4 data sources score in Mali, 2015–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
Mali recorded 43.33 scale 0-100 for statistical performance indicators (spi): pillar 4 data sources score in 2024.
The figure is up 3.8% on the previous year and down 13.7% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Mali peaked at 50.22 scale 0-100 in 2015 and was at its lowest, 35.41 scale 0-100, in 2021.
Mali ranks 138th of 182 countries on this measure, in the bottom quarter.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 43.57 scale 0-100 | 39.92 scale 0-100 | 50.22 scale 0-100 | 5 |
| 2020s | 39.87 scale 0-100 | 35.41 scale 0-100 | 43.33 scale 0-100 | 5 |
Countries ranked near Mali
- 135 Saint Kitts and Nevis 43.56 scale 0-100 compare
- 136 Vanuatu 43.48 scale 0-100 compare
- 137 Cote d'Ivoire 43.38 scale 0-100 compare
- 139 East Timor 42.79 scale 0-100 compare
- 140 Zambia 42.28 scale 0-100 compare
- 141 Trinidad and Tobago 41.71 scale 0-100 compare
More public sector data for Mali
- Arms imports 10.00 million SIPRI trend indicator values (2024)
- Tax revenue 12.0% (2020)
- Taxes on income, profits and capital gains 35.4% (2020)
- Taxes on goods and services 39.3% (2020)
- Net investment in nonfinancial assets 5.0% (2020)
- Net lending (+) / net borrowing (-) -3.5% (2020)
- Interest payments 7.6% (2020)
- Grants and other revenue 12.9% (2020)
- Interest payments 8.5% (2020)
- Other taxes 1.7% (2020)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 4 data sources score in Mali?
- Statistical performance indicators (spi): pillar 4 data sources score in Mali was 43.33 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 Mali?
- The highest recorded value was 50.22 scale 0-100 in 2015.
- What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Mali?
- The lowest recorded value was 35.41 scale 0-100 in 2021.
- How does Mali rank for statistical performance indicators (spi): pillar 4 data sources score?
- Mali ranks 138th out of 182 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Mali?
- Over the last ten years it is down 13.7%. The long-run trend across the full record is falling.
- Where does this Mali 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.
Download this data
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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.