Statistical performance: Pillar 4 data sources score (scale) in Cote d'Ivoire

Cote d'Ivoire: Statistical performance: Pillar 4 data sources score (scale) was 43.38 scale 0-100 in 2024. ▲ Rising

Latest (2024)
43.38 scale 0-100
Change on year
up 1.6%
World rank
138th
of 183 countries
All-time high
45.12 scale 0-100
in 2021
All-time low
32.72 scale 0-100
in 2015
Years of data
10
2015–2024

Statistical performance indicators (SPI): Pillar 4 data sources score in Cote d'Ivoire, 2015–2024

010203040502015201920242015: 32.7 scale 0-1002016: 36 scale 0-1002017: 35.8 scale 0-1002018: 37.2 scale 0-1002019: 35.5 scale 0-1002020: 35.1 scale 0-1002021: 45.1 scale 0-1002022: 42.7 scale 0-1002023: 42.7 scale 0-1002024: 43.4 scale 0-100

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

Analysis

Cote d'Ivoire recorded 43.38 scale 0-100 for statistical performance indicators (spi): pillar 4 data sources score in 2024.

Compared with earlier readings it is up 1.6% on the previous year and up 32.6% over ten years.

Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Cote d'Ivoire peaked at 45.12 scale 0-100 in 2021 and was at its lowest, 32.72 scale 0-100, in 2015.

That places Cote d'Ivoire 138th out of 183 countries with data for 2024, putting it in the bottom quarter.

Statistical performance: Pillar 4 data sources score (scale) in Cote d'Ivoire, year by year

Annual values for Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100) in Cote d'Ivoire, 2015 to 2024.
Year scale 0-100 Change
2015 32.72 scale 0-100 —
2016 36.04 scale 0-100 +10.2%
2017 35.79 scale 0-100 -0.7%
2018 37.17 scale 0-100 +3.8%
2019 35.52 scale 0-100 -4.4%
2020 35.14 scale 0-100 -1.1%
2021 45.12 scale 0-100 +28.4%
2022 42.7 scale 0-100 -5.4%
2023 42.7 scale 0-100 +0.0%
2024 43.38 scale 0-100 +1.6%

Cote d'Ivoire compared with similar countries

  • Cote d'Ivoire's 43.38 scale 0-100 is below the median for lower middle income countries, which is 45.88 scale 0-100, 95% of the median. (46 countries reporting)
  • Cote d'Ivoire's 43.38 scale 0-100 is above the median for Sub-Saharan Africa, which is 43.33 scale 0-100, 1.0× the median. (45 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
2010s 35.45 scale 0-100 32.72 scale 0-100 37.17 scale 0-100 5
2020s 41.81 scale 0-100 35.14 scale 0-100 45.12 scale 0-100 5

Countries ranked near Cote d'Ivoire

  1. 135 Togo 43.58 scale 0-100 compare
  2. 136 Saint Kitts and Nevis 43.56 scale 0-100 compare
  3. 137 Vanuatu 43.48 scale 0-100 compare
  4. 139 Mali 43.33 scale 0-100 compare
  5. 140 East Timor 42.79 scale 0-100 compare
  6. 141 Zambia 42.28 scale 0-100 compare

See the full ranking of 187 places →

More public sector data for Cote d'Ivoire

All data for Cote d'Ivoire →

Frequently asked questions

What is statistical performance indicators (spi): pillar 4 data sources score in Cote d'Ivoire?
Statistical performance indicators (spi): pillar 4 data sources score in Cote d'Ivoire was 43.38 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 Cote d'Ivoire?
The highest recorded value was 45.12 scale 0-100 in 2021.
What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Cote d'Ivoire?
The lowest recorded value was 32.72 scale 0-100 in 2015.
How does Cote d'Ivoire rank for statistical performance indicators (spi): pillar 4 data sources score?
Cote d'Ivoire ranks 138th out of 183 countries with data for 2024.
Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Cote d'Ivoire?
Over the last ten years it is up 32.6%. The long-run trend across the full record is rising.
Where does this Cote d'Ivoire 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 Cote d'Ivoire. Statizoid, drawing on Statistical Performance Indicators, World Bank (WB). Retrieved 07 November 2026, from https://public-sector.statizoid.com/stat/statistical-performance-indicators-spi-pillar-4-data-sources-score-scale-0-100/cote-d-ivoire/

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/cote-d-ivoire/">Statistical performance indicators (SPI): Pillar 4 data sources score in Cote d'Ivoire</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.