Statistical performance indicators (SPI): Pillar 3 data products score in Saint Lucia
Saint Lucia: Statistical performance indicators (SPI): Pillar 3 data products score was 63.36 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 3 data products score in Saint Lucia, 2005–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
The most recent figure for statistical performance indicators (spi): pillar 3 data products score in Saint Lucia is 63.36 scale 0-100, measured in 2024.
The figure is down 2.0% on the previous year and up 10.4% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 3 data products score in Saint Lucia peaked at 68.58 scale 0-100 in 2021 and was at its lowest, 43.39 scale 0-100, in 2006.
Saint Lucia ranks 148th of 215 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 20 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 51.35 scale 0-100 | 43.39 scale 0-100 | 56.41 scale 0-100 | 5 |
| 2010s | 53.94 scale 0-100 | 45.99 scale 0-100 | 59.04 scale 0-100 | 10 |
| 2020s | 63.16 scale 0-100 | 57.82 scale 0-100 | 68.58 scale 0-100 | 5 |
Countries ranked near Saint Lucia
- 145 Afghanistan 64.56 scale 0-100 compare
- 146 Democratic Republic of Congo 64.26 scale 0-100 compare
- 147 Nauru 63.46 scale 0-100 compare
- 149 Lebanon 63.14 scale 0-100 compare
- 150 Somalia 63.09 scale 0-100 compare
- 151 East Timor 63.02 scale 0-100 compare
More public sector data for Saint Lucia
- Tax revenue 18.2% (2017)
- Taxes on income, profits and capital gains 22.7% (2017)
- Taxes on goods and services 34.8% (2017)
- Net investment in nonfinancial assets 4.0% (2017)
- Net lending (+) / net borrowing (-) -0.9% (2017)
- Interest payments 13.6% (2017)
- Grants and other revenue 12.2% (2017)
- Interest payments 16.1% (2017)
- Other taxes 1.1% (2017)
- Compensation of employees 40.4% (2017)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 3 data products score in Saint Lucia?
- Statistical performance indicators (spi): pillar 3 data products score in Saint Lucia was 63.36 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
- What is the highest statistical performance indicators (spi): pillar 3 data products score recorded in Saint Lucia?
- The highest recorded value was 68.58 scale 0-100 in 2021.
- What is the lowest statistical performance indicators (spi): pillar 3 data products score recorded in Saint Lucia?
- The lowest recorded value was 43.39 scale 0-100 in 2006.
- How does Saint Lucia rank for statistical performance indicators (spi): pillar 3 data products score?
- Saint Lucia ranks 148th out of 215 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 3 data products score rising or falling in Saint Lucia?
- Over the last ten years it is up 10.4%. The long-run trend across the full record is rising.
- Where does this Saint Lucia data come from?
- The figures come from Statistical Performance Indicators, World Bank (WB), published as part of Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 20 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
The data products overall score is a composite score measuring whether the country is able to produce relevant indicators, primarily related to SDGs. The data products (internal process) pillar is segmented by four topics and organized into (i) social, (ii) economic, (iii) environmental, and (iv) institutional dimensions using the typology of the Sustainable Development Goals (SDGs). This approach anchors the national statistical system's performance around the essential data required to support the achievement of the 2030 global goals, and enables comparisons across countries so that a global view can be generated while enabling country specific emphasis to reflect the user needs of that country.