Statistical performance: Pillar 4 data sources score (scale) in Cameroon

Cameroon: Statistical performance: Pillar 4 data sources score (scale) was 39.83 scale 0-100 in 2024. ▲ Rising

Latest (2024)
39.83 scale 0-100
Change on year
up 19.1%
World rank
147th
of 183 countries
All-time high
39.83 scale 0-100
in 2024
All-time low
32.92 scale 0-100
in 2018
Years of data
10
2015–2024

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

0102030402015201920242015: 35.9 scale 0-1002016: 33.2 scale 0-1002017: 33.2 scale 0-1002018: 32.9 scale 0-1002019: 32.9 scale 0-1002020: 35 scale 0-1002021: 36.7 scale 0-1002022: 33.5 scale 0-1002023: 33.5 scale 0-1002024: 39.8 scale 0-100

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 Cameroon is 39.83 scale 0-100, measured in 2024. That is the highest value across all 10 years on record.

That represents a change of up 19.1% on the previous year and up 10.8% over ten years.

Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Cameroon peaked at 39.83 scale 0-100 in 2024 and was at its lowest, 32.92 scale 0-100, in 2018.

That places Cameroon 147th out of 183 countries with data for 2024, putting it in the bottom quarter.

Statistical performance: Pillar 4 data sources score (scale) in Cameroon, year by year

Annual values for Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100) in Cameroon, 2015 to 2024.
Year scale 0-100 Change
2015 35.94 scale 0-100 —
2016 33.17 scale 0-100 -7.7%
2017 33.25 scale 0-100 +0.2%
2018 32.92 scale 0-100 -1.0%
2019 32.92 scale 0-100 +0.0%
2020 34.98 scale 0-100 +6.2%
2021 36.67 scale 0-100 +4.9%
2022 33.45 scale 0-100 -8.8%
2023 33.45 scale 0-100 +0.0%
2024 39.83 scale 0-100 +19.1%

Cameroon compared with similar countries

  • Cameroon's 39.83 scale 0-100 is below the median for lower middle income countries, which is 45.88 scale 0-100, 87% of the median. (46 countries reporting)
  • Cameroon's 39.83 scale 0-100 is below the median for Sub-Saharan Africa, which is 43.33 scale 0-100, 92% of the median. (45 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
2010s 33.64 scale 0-100 32.92 scale 0-100 35.94 scale 0-100 5
2020s 35.67 scale 0-100 33.45 scale 0-100 39.83 scale 0-100 5

Countries ranked near Cameroon

  1. 144 Niger 40.77 scale 0-100 compare
  2. 145 China 40.7 scale 0-100 compare
  3. 146 Dominica 40.46 scale 0-100 compare
  4. 148 Zimbabwe 39.8 scale 0-100 compare
  5. 149 Nigeria 39.76 scale 0-100 compare
  6. 150 Nicaragua 37.88 scale 0-100 compare

See the full ranking of 187 places →

More public sector data for Cameroon

All data for Cameroon →

Frequently asked questions

What is statistical performance indicators (spi): pillar 4 data sources score in Cameroon?
Statistical performance indicators (spi): pillar 4 data sources score in Cameroon was 39.83 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 Cameroon?
The highest recorded value was 39.83 scale 0-100 in 2024.
What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Cameroon?
The lowest recorded value was 32.92 scale 0-100 in 2018.
How does Cameroon rank for statistical performance indicators (spi): pillar 4 data sources score?
Cameroon ranks 147th out of 183 countries with data for 2024.
Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Cameroon?
Over the last ten years it is up 10.8%. The long-run trend across the full record is rising.
Where does this Cameroon 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).

Share, cite or embed this page

Cite this page

Statistical performance indicators (SPI): Pillar 4 data sources score in Cameroon. Statizoid, drawing on Statistical Performance Indicators, World Bank (WB). Retrieved 08 November 2026, from https://public-sector.statizoid.com/stat/statistical-performance-indicators-spi-pillar-4-data-sources-score-scale-0-100/cameroon/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY 4.0 (World Bank Open Data); please keep the attribution.

<a href="https://public-sector.statizoid.com/stat/statistical-performance-indicators-spi-pillar-4-data-sources-score-scale-0-100/cameroon/">Statistical performance indicators (SPI): Pillar 4 data sources score in Cameroon</a> — Statizoid

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.