Statistical performance indicators (SPI): Pillar 4 data sources score in Saint Lucia

Saint Lucia: Statistical performance indicators (SPI): Pillar 4 data sources score was 54.38 scale 0-100 in 2024. ▼ Falling

Latest (2024)
54.38 scale 0-100
Change on year
up 4.1%
World rank
105th
of 182 countries
All-time high
64.62 scale 0-100
in 2015
All-time low
51.47 scale 0-100
in 2021
Years of data
10
2015–2024

Statistical performance indicators (SPI): Pillar 4 data sources score in Saint Lucia, 2015–2024

02040602015201920242015: 64.6 scale 0-1002016: 58.8 scale 0-1002017: 57.3 scale 0-1002018: 52.2 scale 0-1002019: 52.2 scale 0-1002020: 59.8 scale 0-1002021: 51.5 scale 0-1002022: 52.3 scale 0-1002023: 52.3 scale 0-1002024: 54.4 scale 0-100

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 Saint Lucia stood at 54.38 scale 0-100.

The figure is up 4.1% on the previous year and down 15.8% over ten years.

Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Saint Lucia peaked at 64.62 scale 0-100 in 2015 and was at its lowest, 51.47 scale 0-100, in 2021.

Saint Lucia ranks 105th of 182 countries on this measure, in the middle of the range.

Averages by decade

DecadeAverage LowestHighest Years
2010s 57.03 scale 0-100 52.2 scale 0-100 64.62 scale 0-100 5
2020s 54.03 scale 0-100 51.47 scale 0-100 59.8 scale 0-100 5

Countries ranked near Saint Lucia

  1. 102 Rwanda 56.33 scale 0-100 compare
  2. 103 Fiji 55.95 scale 0-100 compare
  3. 104 Palau 55.84 scale 0-100 compare
  4. 106 Lesotho 53.7 scale 0-100 compare
  5. 107 Bosnia and Herzegovina 53.42 scale 0-100 compare
  6. 108 Brunei 53.39 scale 0-100 compare

See the full ranking of 186 places →

More public sector data for Saint Lucia

All data for Saint Lucia →

Frequently asked questions

What is statistical performance indicators (spi): pillar 4 data sources score in Saint Lucia?
Statistical performance indicators (spi): pillar 4 data sources score in Saint Lucia was 54.38 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 Saint Lucia?
The highest recorded value was 64.62 scale 0-100 in 2015.
What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Saint Lucia?
The lowest recorded value was 51.47 scale 0-100 in 2021.
How does Saint Lucia rank for statistical performance indicators (spi): pillar 4 data sources score?
Saint Lucia ranks 105th out of 182 countries with data for 2024.
Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Saint Lucia?
Over the last ten years it is down 15.8%. The long-run trend across the full record is falling.
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 4 data sources score (scale 0-100). Statizoid updates them automatically from the source API.

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About this data

Indicator
Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)
Unit
scale 0-100
Source
Statistical Performance Indicators, World Bank (WB)
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
186 places, 1,766 data points, 2015–2024
Last refreshed

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.