Statistical performance indicators (SPI): Pillar 4 data sources score in Gabon
Gabon: Statistical performance indicators (SPI): Pillar 4 data sources score was 29.78 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 4 data sources score in Gabon, 2015–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
Gabon recorded 29.78 scale 0-100 for statistical performance indicators (spi): pillar 4 data sources score in 2024.
That represents a change of down 10.4% on the previous year and up 97.1% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Gabon peaked at 33.23 scale 0-100 in 2022 and was at its lowest, 13.28 scale 0-100, in 2018.
That places Gabon 162nd out of 182 countries with data for 2024, putting it in the bottom quarter.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 14.45 scale 0-100 | 13.28 scale 0-100 | 15.11 scale 0-100 | 5 |
| 2020s | 30.66 scale 0-100 | 24.37 scale 0-100 | 33.23 scale 0-100 | 5 |
Countries ranked near Gabon
- 159 Kiribati 31.92 scale 0-100 compare
- 160 Eswatini 31.17 scale 0-100 compare
- 161 Venezuela 30.57 scale 0-100 compare
- 163 Solomon Islands 26.47 scale 0-100 compare
- 164 Equatorial Guinea 25.69 scale 0-100 compare
- 165 Mauritania 25.54 scale 0-100 compare
More public sector data for Gabon
- Arms imports 1.00 million SIPRI trend indicator values (2024)
- Tax revenue 9.5% (2021)
- Taxes on income, profits and capital gains 23.9% (2021)
- Taxes on goods and services 14.0% (2021)
- Net investment in nonfinancial assets 2.5% (2021)
- Net lending (+) / net borrowing (-) -1.5% (2021)
- Interest payments 18.9% (2021)
- Grants and other revenue 35.6% (2021)
- Interest payments 20.4% (2021)
- Other taxes 5.1% (2021)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 4 data sources score in Gabon?
- Statistical performance indicators (spi): pillar 4 data sources score in Gabon was 29.78 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 Gabon?
- The highest recorded value was 33.23 scale 0-100 in 2022.
- What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Gabon?
- The lowest recorded value was 13.28 scale 0-100 in 2018.
- How does Gabon rank for statistical performance indicators (spi): pillar 4 data sources score?
- Gabon ranks 162nd out of 182 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Gabon?
- Over the last ten years it is up 97.1%. The long-run trend across the full record is rising.
- Where does this Gabon 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.