Statistical performance indicators (SPI): Pillar 4 data sources score in Democratic Republic of Congo

Democratic Republic of Congo: Statistical performance indicators (SPI): Pillar 4 data sources score was 24.35 scale 0-100 in 2024. ▲ Rising

Latest (2024)
24.35 scale 0-100
Change on year
up 7.2%
World rank
168th
of 183 countries
All-time high
24.35 scale 0-100
in 2024
All-time low
19.3 scale 0-100
in 2017
Years of data
10
2015–2024

Statistical performance indicators (SPI): Pillar 4 data sources score in Democratic Republic of Congo, 2015–2024

05101520252015201920242015: 21.9 scale 0-1002016: 20.4 scale 0-1002017: 19.3 scale 0-1002018: 21.5 scale 0-1002019: 21.5 scale 0-1002020: 23.2 scale 0-1002021: 21.6 scale 0-1002022: 21.1 scale 0-1002023: 22.7 scale 0-1002024: 24.4 scale 0-100

Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.

Analysis

Democratic Republic of Congo recorded 24.35 scale 0-100 for statistical performance indicators (spi): pillar 4 data sources score in 2024. That is the highest value across all 10 years on record.

That represents a change of up 7.2% on the previous year and up 11.2% over ten years.

Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Democratic Republic of Congo peaked at 24.35 scale 0-100 in 2024 and was at its lowest, 19.3 scale 0-100, in 2017.

Democratic Republic of Congo ranks 168th of 183 countries on this measure, in the bottom quarter.

Statistical performance indicators (SPI): Pillar 4 data sources score in Democratic Republic of Congo, year by year

Annual values for Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100) in Democratic Republic of Congo, 2015 to 2024.
Year scale 0-100 Change
2015 21.9 scale 0-100
2016 20.43 scale 0-100 -6.7%
2017 19.3 scale 0-100 -5.5%
2018 21.52 scale 0-100 +11.5%
2019 21.52 scale 0-100 +0.0%
2020 23.25 scale 0-100 +8.0%
2021 21.6 scale 0-100 -7.1%
2022 21.07 scale 0-100 -2.4%
2023 22.73 scale 0-100 +7.8%
2024 24.35 scale 0-100 +7.2%

Democratic Republic of Congo compared with similar countries

  • Democratic Republic of Congo's 24.35 scale 0-100 is below the median for low income countries, which is 35.8 scale 0-100, 68% of the median. (22 countries reporting)
  • Democratic Republic of Congo's 24.35 scale 0-100 is below the median for Sub-Saharan Africa, which is 43.33 scale 0-100, 56% of the median. (45 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
2010s 20.93 scale 0-100 19.3 scale 0-100 21.9 scale 0-100 5
2020s 22.6 scale 0-100 21.07 scale 0-100 24.35 scale 0-100 5

Countries ranked near Democratic Republic of Congo

  1. 165 Equatorial Guinea 25.69 scale 0-100 compare
  2. 166 Mauritania 25.54 scale 0-100 compare
  3. 167 Chad 24.74 scale 0-100 compare
  4. 169 Congo 23.85 scale 0-100 compare
  5. 170 Micronesia (country) 22.1 scale 0-100 compare
  6. 171 Afghanistan 20.68 scale 0-100 compare

See the full ranking of 187 places →

More public sector data for Democratic Republic of Congo

All data for Democratic Republic of Congo →

Frequently asked questions

What is statistical performance indicators (spi): pillar 4 data sources score in Democratic Republic of Congo?
Statistical performance indicators (spi): pillar 4 data sources score in Democratic Republic of Congo was 24.35 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 Democratic Republic of Congo?
The highest recorded value was 24.35 scale 0-100 in 2024.
What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Democratic Republic of Congo?
The lowest recorded value was 19.3 scale 0-100 in 2017.
How does Democratic Republic of Congo rank for statistical performance indicators (spi): pillar 4 data sources score?
Democratic Republic of Congo ranks 168th out of 183 countries with data for 2024.
Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Democratic Republic of Congo?
Over the last ten years it is up 11.2%. The long-run trend across the full record is rising.
Where does this Democratic Republic of Congo 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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Statistical performance indicators (SPI): Pillar 4 data sources score in Democratic Republic of Congo. Statizoid, drawing on Statistical Performance Indicators, World Bank (WB). Retrieved 24 September 2026, from https://public-sector.statizoid.com/stat/statistical-performance-indicators-spi-pillar-4-data-sources-score-scale-0-100/congo-dem-rep/

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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
187 places, 1,776 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.