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
Statistical performance indicators (SPI): Pillar 4 data sources score in Seychelles, 2017–2024
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 183 countries on this measure, in the middle of the range.
Statistical performance indicators (SPI): Pillar 4 data sources score in Seychelles, year by year
| Year | scale 0-100 | Change |
|---|---|---|
| 2017 | 57.42 scale 0-100 | — |
| 2018 | 60.24 scale 0-100 | +4.9% |
| 2019 | 60.24 scale 0-100 | +0.0% |
| 2020 | 61.04 scale 0-100 | +1.3% |
| 2021 | 56.88 scale 0-100 | -6.8% |
| 2022 | 57.3 scale 0-100 | +0.7% |
| 2023 | 57.3 scale 0-100 | +0.0% |
| 2024 | 58 scale 0-100 | +1.2% |
Seychelles compared with similar countries
- Seychelles's 58 scale 0-100 is below the median for high income countries, which is 80.21 scale 0-100, 72% of the median. (58 countries reporting)
- Seychelles's 58 scale 0-100 is above the median for Sub-Saharan Africa, which is 43.33 scale 0-100, 1.3× the median. (45 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | 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
More public sector data for Seychelles
- Democracy, annual growth rate 0 % change on previous year (2025)
- Chief executive of the government is elected, annual growth rate 0 % change on previous year (2025)
- Elected parliament, annual growth rate 0 % change on previous year (2025)
- Men's universal right to vote, annual growth rate 0 % change on previous year (2025)
- Universal right to vote, annual growth rate 0 % change on previous year (2025)
- Universal right to vote in practice, annual growth rate 0 % change on previous year (2025)
- Democracy 7 (2025)
- Chief executive of the government is elected 1 (2025)
- Elected parliament 1 (2025)
- Men's universal right to vote 1 (2025)
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 183 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
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.