Statistical performance indicators (SPI): Pillar 4 data sources score in Vanuatu
Vanuatu: Statistical performance indicators (SPI): Pillar 4 data sources score was 43.48 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 4 data sources score in Vanuatu, 2015–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
The most recent figure for statistical performance indicators (spi): pillar 4 data sources score in Vanuatu is 43.48 scale 0-100, measured in 2024.
Compared with earlier readings it is down 1.1% on the previous year and up 29.2% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Vanuatu peaked at 43.95 scale 0-100 in 2023 and was at its lowest, 21.9 scale 0-100, in 2020.
Vanuatu ranks 136th of 182 countries on this measure, in the middle of the range.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 28.46 scale 0-100 | 23.55 scale 0-100 | 33.64 scale 0-100 | 5 |
| 2020s | 36.03 scale 0-100 | 21.9 scale 0-100 | 43.95 scale 0-100 | 5 |
Countries ranked near Vanuatu
- 133 Liberia 44.05 scale 0-100 compare
- 134 Togo 43.58 scale 0-100 compare
- 135 Saint Kitts and Nevis 43.56 scale 0-100 compare
- 137 Cote d'Ivoire 43.38 scale 0-100 compare
- 138 Mali 43.33 scale 0-100 compare
- 139 East Timor 42.79 scale 0-100 compare
More public sector data for Vanuatu
- Tax revenue 16.5% (2023)
- Taxes on goods and services 39.0% (2023)
- Net investment in nonfinancial assets 5.3% (2023)
- Net lending (+) / net borrowing (-) 0.7% (2023)
- Interest payments 2.4% (2023)
- Grants and other revenue 49.3% (2023)
- Interest payments 3.0% (2023)
- Other taxes 1.1% (2023)
- Compensation of employees 46.1% (2023)
- Goods and services expense 29.8% (2023)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 4 data sources score in Vanuatu?
- Statistical performance indicators (spi): pillar 4 data sources score in Vanuatu was 43.48 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 Vanuatu?
- The highest recorded value was 43.95 scale 0-100 in 2023.
- What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Vanuatu?
- The lowest recorded value was 21.9 scale 0-100 in 2020.
- How does Vanuatu rank for statistical performance indicators (spi): pillar 4 data sources score?
- Vanuatu ranks 136th out of 182 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Vanuatu?
- Over the last ten years it is up 29.2%. The long-run trend across the full record is rising.
- Where does this Vanuatu 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
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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.