Statistical performance indicators (SPI): Pillar 4 data sources score in Mauritius
Mauritius: Statistical performance indicators (SPI): Pillar 4 data sources score was 67.33 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 4 data sources score in Mauritius, 2015–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
In 2024, statistical performance indicators (spi): pillar 4 data sources score in Mauritius stood at 67.33 scale 0-100.
The figure is up 4.6% on the previous year and up 5.0% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Mauritius peaked at 68.12 scale 0-100 in 2021 and was at its lowest, 59.64 scale 0-100, in 2019.
Mauritius ranks 75th of 182 countries on this measure, in the middle of the range.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 61.67 scale 0-100 | 59.64 scale 0-100 | 64.14 scale 0-100 | 5 |
| 2020s | 64.46 scale 0-100 | 59.79 scale 0-100 | 68.12 scale 0-100 | 5 |
Countries ranked near Mauritius
- 72 Moldova 67.91 scale 0-100 compare
- 73 Cape Verde 67.9 scale 0-100 compare
- 74 Thailand 67.53 scale 0-100 compare
- 76 Botswana 67.25 scale 0-100 compare
- 77 Bangladesh 66.67 scale 0-100 compare
- 78 Azerbaijan 66.33 scale 0-100 compare
More public sector data for Mauritius
- Arms imports 4.00 million SIPRI trend indicator values (2022)
- Tax revenue 20.5% (2024)
- Taxes on income, profits and capital gains 26.7% (2024)
- Taxes on goods and services 53.3% (2024)
- Net investment in nonfinancial assets 1.3% (2024)
- Net lending (+) / net borrowing (-) -8.1% (2024)
- Interest payments 10.4% (2024)
- Grants and other revenue 10.2% (2024)
- Interest payments 8.4% (2023)
- Other taxes 1.7% (2024)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 4 data sources score in Mauritius?
- Statistical performance indicators (spi): pillar 4 data sources score in Mauritius was 67.33 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 Mauritius?
- The highest recorded value was 68.12 scale 0-100 in 2021.
- What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Mauritius?
- The lowest recorded value was 59.64 scale 0-100 in 2019.
- How does Mauritius rank for statistical performance indicators (spi): pillar 4 data sources score?
- Mauritius ranks 75th out of 182 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Mauritius?
- Over the last ten years it is up 5.0%. The long-run trend across the full record is rising.
- Where does this Mauritius 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.