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

Seychelles: Statistical performance indicators (SPI): Pillar 4 data sources score was 58 scale 0-100 in 2024. ▬ Flat

Latest (2024)
58 scale 0-100
Change on year
up 1.2%
World rank
98th
of 181 countries
All-time high
61.04 scale 0-100
in 2020
All-time low
56.88 scale 0-100
in 2021
Years of data
8
2017–2024

Statistical performance indicators (SPI): Pillar 4 data sources score in Seychelles, 2017–2024

02040602017202020242017: 57.4 scale 0-1002018: 60.2 scale 0-1002019: 60.2 scale 0-1002020: 61 scale 0-1002021: 56.9 scale 0-1002022: 57.3 scale 0-1002023: 57.3 scale 0-1002024: 58 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 Seychelles stood at 58 scale 0-100.

That represents a change of up 1.2% on the previous year and up 1.0% over ten years.

Seychelles ranks 98th of 181 countries on this measure, in the middle of the range.

Averages by decade

DecadeAverage LowestHighest Years
2010s 59.3 scale 0-100 57.42 scale 0-100 60.24 scale 0-100 3
2020s 58.1 scale 0-100 56.88 scale 0-100 61.04 scale 0-100 5

Countries ranked near Seychelles

  1. 95 Indonesia 58.73 scale 0-100 compare
  2. 96 Ukraine 58.28 scale 0-100 compare
  3. 97 Suriname 58.02 scale 0-100 compare
  4. 99 Senegal 57.62 scale 0-100 compare
  5. 100 Ghana 56.76 scale 0-100 compare
  6. 101 El Salvador 56.44 scale 0-100 compare

See the full ranking of 186 places →

More public sector data for Seychelles

All data for Seychelles →

Frequently asked questions

What is statistical performance indicators (spi): pillar 4 data sources score in Seychelles?
Statistical performance indicators (spi): pillar 4 data sources score in Seychelles was 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 Seychelles?
The highest recorded value was 61.04 scale 0-100 in 2020.
What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Seychelles?
The lowest recorded value was 56.88 scale 0-100 in 2021.
How does Seychelles rank for statistical performance indicators (spi): pillar 4 data sources score?
Seychelles ranks 98th out of 181 countries with data for 2024.
Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Seychelles?
Over the last ten years it is up 1.0%. The long-run trend across the full record is flat.
Where does this Seychelles 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.