Statistical performance indicators (SPI): Pillar 4 data sources score in Lesotho
Lesotho: Statistical performance indicators (SPI): Pillar 4 data sources score was 53.7 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 4 data sources score in Lesotho, 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 Lesotho stood at 53.7 scale 0-100. That is the highest value across all 10 years on record.
Compared with earlier readings it is up 5.8% on the previous year and up 46.6% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Lesotho peaked at 53.7 scale 0-100 in 2024 and was at its lowest, 36.49 scale 0-100, in 2016.
That places Lesotho 106th 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 | 38.44 scale 0-100 | 36.49 scale 0-100 | 41.32 scale 0-100 | 5 |
| 2020s | 47.9 scale 0-100 | 39.64 scale 0-100 | 53.7 scale 0-100 | 5 |
Countries ranked near Lesotho
- 103 Fiji 55.95 scale 0-100 compare
- 104 Palau 55.84 scale 0-100 compare
- 105 Saint Lucia 54.38 scale 0-100 compare
- 107 Bosnia and Herzegovina 53.42 scale 0-100 compare
- 108 Brunei 53.39 scale 0-100 compare
- 109 Antigua and Barbuda 53.22 scale 0-100 compare
More public sector data for Lesotho
- Arms imports 1.00 million SIPRI trend indicator values (2019)
- Tax revenue 35.4% (2024)
- Taxes on income, profits and capital gains 20.4% (2024)
- Taxes on goods and services 32.7% (2024)
- Net investment in nonfinancial assets 7.7% (2024)
- Net lending (+) / net borrowing (-) 7.2% (2024)
- Interest payments 3.5% (2024)
- Grants and other revenue 34.0% (2024)
- Interest payments 4.0% (2022)
- Other taxes 0.0% (2023)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 4 data sources score in Lesotho?
- Statistical performance indicators (spi): pillar 4 data sources score in Lesotho was 53.7 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 Lesotho?
- The highest recorded value was 53.7 scale 0-100 in 2024.
- What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Lesotho?
- The lowest recorded value was 36.49 scale 0-100 in 2016.
- How does Lesotho rank for statistical performance indicators (spi): pillar 4 data sources score?
- Lesotho ranks 106th out of 182 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Lesotho?
- Over the last ten years it is up 46.6%. The long-run trend across the full record is rising.
- Where does this Lesotho 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
CSV · JSON — 10 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
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.