Statistical performance indicators (SPI): Pillar 4 data sources score in Sri Lanka
Sri Lanka: Statistical performance indicators (SPI): Pillar 4 data sources score was 64.07 scale 0-100 in 2024. ▼ Falling
Statistical performance indicators (SPI): Pillar 4 data sources score in Sri Lanka, 2015–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
The most recent figure for statistical performance indicators (spi): pillar 4 data sources score in Sri Lanka is 64.07 scale 0-100, measured in 2024. That is the lowest value across all 10 years on record.
That represents a change of down 17.8% on the previous year and down 21.6% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Sri Lanka peaked at 82.12 scale 0-100 in 2020 and was at its lowest, 64.07 scale 0-100, in 2024.
That places Sri Lanka 80th 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 | 78.45 scale 0-100 | 75.83 scale 0-100 | 81.7 scale 0-100 | 5 |
| 2020s | 77.68 scale 0-100 | 64.07 scale 0-100 | 82.12 scale 0-100 | 5 |
Countries ranked near Sri Lanka
More public sector data for Sri Lanka
- Arms imports 9.00 million SIPRI trend indicator values (2024)
- Tax revenue 9.9% (2023)
- Taxes on income, profits and capital gains 29.6% (2023)
- Taxes on goods and services 46.1% (2023)
- Net investment in nonfinancial assets 2.4% (2023)
- Net lending (+) / net borrowing (-) -9.2% (2023)
- Interest payments 79.9% (2023)
- Grants and other revenue 10.3% (2023)
- Interest payments 49.4% (2023)
- Other taxes 0.0% (2023)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 4 data sources score in Sri Lanka?
- Statistical performance indicators (spi): pillar 4 data sources score in Sri Lanka was 64.07 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 Sri Lanka?
- The highest recorded value was 82.12 scale 0-100 in 2020.
- What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Sri Lanka?
- The lowest recorded value was 64.07 scale 0-100 in 2024.
- How does Sri Lanka rank for statistical performance indicators (spi): pillar 4 data sources score?
- Sri Lanka ranks 80th out of 182 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Sri Lanka?
- Over the last ten years it is down 21.6%. The long-run trend across the full record is falling.
- Where does this Sri Lanka 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.