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

Cambodia: Statistical performance indicators (SPI): Pillar 4 data sources score was 46.58 scale 0-100 in 2024. ▲ Rising

Latest (2024)
46.58 scale 0-100
Change on year
down 2.1%
World rank
124th
of 182 countries
All-time high
47.58 scale 0-100
in 2023
All-time low
32.99 scale 0-100
in 2018
Years of data
10
2015–2024

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

010203040502015201920242015: 35.1 scale 0-1002016: 37 scale 0-1002017: 37 scale 0-1002018: 33 scale 0-1002019: 36.3 scale 0-1002020: 34.9 scale 0-1002021: 43.2 scale 0-1002022: 45.9 scale 0-1002023: 47.6 scale 0-1002024: 46.6 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 Cambodia stood at 46.58 scale 0-100.

Compared with earlier readings it is down 2.1% on the previous year and up 32.8% over ten years.

Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Cambodia peaked at 47.58 scale 0-100 in 2023 and was at its lowest, 32.99 scale 0-100, in 2018.

Cambodia ranks 124th of 182 countries on this measure, in the middle of the range.

Averages by decade

DecadeAverage LowestHighest Years
2010s 35.67 scale 0-100 32.99 scale 0-100 36.99 scale 0-100 5
2020s 43.63 scale 0-100 34.89 scale 0-100 47.58 scale 0-100 5

Countries ranked near Cambodia

  1. 121 Vietnam 48.23 scale 0-100 compare
  2. 122 Lebanon 48.12 scale 0-100 compare
  3. 123 Bhutan 47.75 scale 0-100 compare
  4. 125 Nepal 46.5 scale 0-100 compare
  5. 126 Dominican Republic 46.17 scale 0-100 compare

See the full ranking of 186 places →

More public sector data for Cambodia

All data for Cambodia →

Frequently asked questions

What is statistical performance indicators (spi): pillar 4 data sources score in Cambodia?
Statistical performance indicators (spi): pillar 4 data sources score in Cambodia was 46.58 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 Cambodia?
The highest recorded value was 47.58 scale 0-100 in 2023.
What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Cambodia?
The lowest recorded value was 32.99 scale 0-100 in 2018.
How does Cambodia rank for statistical performance indicators (spi): pillar 4 data sources score?
Cambodia ranks 124th out of 182 countries with data for 2024.
Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Cambodia?
Over the last ten years it is up 32.8%. The long-run trend across the full record is rising.
Where does this Cambodia 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.