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

Sudan: Statistical performance indicators (SPI): Pillar 4 data sources score was 18.77 scale 0-100 in 2024. ▼ Falling

Latest (2024)
18.77 scale 0-100
Change on year
unchanged
World rank
173rd
of 182 countries
All-time high
26.51 scale 0-100
in 2015
All-time low
18.77 scale 0-100
in 2020
Years of data
10
2015–2024

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

01020302015201920242015: 26.5 scale 0-1002016: 26.5 scale 0-1002017: 20.7 scale 0-1002018: 24.6 scale 0-1002019: 20.5 scale 0-1002020: 18.8 scale 0-1002021: 18.8 scale 0-1002022: 18.8 scale 0-1002023: 18.8 scale 0-1002024: 18.8 scale 0-100

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

Analysis

Sudan recorded 18.77 scale 0-100 for statistical performance indicators (spi): pillar 4 data sources score in 2024. That is the lowest value across all 10 years on record.

That represents a change of down 29.2% over ten years.

Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Sudan peaked at 26.51 scale 0-100 in 2015 and was at its lowest, 18.77 scale 0-100, in 2020.

That places Sudan 173rd out of 182 countries with data for 2024, putting it in the bottom quarter.

Averages by decade

DecadeAverage LowestHighest Years
2010s 23.76 scale 0-100 20.47 scale 0-100 26.51 scale 0-100 5
2020s 18.77 scale 0-100 18.77 scale 0-100 18.77 scale 0-100 5

Countries ranked near Sudan

  1. 170 Afghanistan 20.68 scale 0-100 compare
  2. 171 Yemen 20.52 scale 0-100 compare
  3. 172 Guinea-Bissau 19.92 scale 0-100 compare
  4. 174 Burundi 18.72 scale 0-100 compare
  5. 175 Haiti 17.54 scale 0-100 compare
  6. 176 Somalia 16.73 scale 0-100 compare

See the full ranking of 186 places →

More public sector data for Sudan

All data for Sudan →

Frequently asked questions

What is statistical performance indicators (spi): pillar 4 data sources score in Sudan?
Statistical performance indicators (spi): pillar 4 data sources score in Sudan was 18.77 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 Sudan?
The highest recorded value was 26.51 scale 0-100 in 2015.
What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Sudan?
The lowest recorded value was 18.77 scale 0-100 in 2020.
How does Sudan rank for statistical performance indicators (spi): pillar 4 data sources score?
Sudan ranks 173rd out of 182 countries with data for 2024.
Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Sudan?
Over the last ten years it is down 29.2%. The long-run trend across the full record is falling.
Where does this Sudan 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.