Statistical performance indicators (SPI): Pillar 4 data sources score in Botswana
Botswana: Statistical performance indicators (SPI): Pillar 4 data sources score was 67.25 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 4 data sources score in Botswana, 2015–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
Botswana recorded 67.25 scale 0-100 for statistical performance indicators (spi): pillar 4 data sources score in 2024.
Compared with earlier readings it is down 3.1% on the previous year and up 28.5% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Botswana peaked at 69.4 scale 0-100 in 2023 and was at its lowest, 50.57 scale 0-100, in 2016.
That places Botswana 76th out of 182 countries with data for 2024, putting it in the middle of the range.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 54.92 scale 0-100 | 50.57 scale 0-100 | 58.09 scale 0-100 | 5 |
| 2020s | 65.16 scale 0-100 | 56.54 scale 0-100 | 69.4 scale 0-100 | 5 |
Countries ranked near Botswana
- 73 Cape Verde 67.9 scale 0-100 compare
- 74 Thailand 67.53 scale 0-100 compare
- 75 Mauritius 67.33 scale 0-100 compare
- 77 Bangladesh 66.67 scale 0-100 compare
- 78 Azerbaijan 66.33 scale 0-100 compare
- 79 Russia 65.08 scale 0-100 compare
More public sector data for Botswana
- Arms imports 11.00 million SIPRI trend indicator values (2024)
- Tax revenue 22.4% (2023)
- Taxes on income, profits and capital gains 32.4% (2023)
- Taxes on goods and services 14.5% (2023)
- Net investment in nonfinancial assets 6.1% (2023)
- Net lending (+) / net borrowing (-) -4.2% (2023)
- Interest payments 3.4% (2023)
- Grants and other revenue 20.3% (2023)
- Interest payments 4.0% (2023)
- Other taxes 0.1% (2023)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 4 data sources score in Botswana?
- Statistical performance indicators (spi): pillar 4 data sources score in Botswana was 67.25 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 Botswana?
- The highest recorded value was 69.4 scale 0-100 in 2023.
- What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Botswana?
- The lowest recorded value was 50.57 scale 0-100 in 2016.
- How does Botswana rank for statistical performance indicators (spi): pillar 4 data sources score?
- Botswana ranks 76th out of 182 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Botswana?
- Over the last ten years it is up 28.5%. The long-run trend across the full record is rising.
- Where does this Botswana 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.