Statistical performance indicators (SPI): Pillar 4 data sources score in Venezuela
Venezuela: Statistical performance indicators (SPI): Pillar 4 data sources score was 30.57 scale 0-100 in 2024. ▼ Falling
Statistical performance indicators (SPI): Pillar 4 data sources score in Venezuela, 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 Venezuela is 30.57 scale 0-100, measured in 2024.
The figure is up 0.2% on the previous year and down 30.8% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Venezuela peaked at 44.19 scale 0-100 in 2015 and was at its lowest, 30.52 scale 0-100, in 2022.
Venezuela ranks 161st of 182 countries on this measure, in the bottom quarter.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 40.74 scale 0-100 | 35.75 scale 0-100 | 44.19 scale 0-100 | 5 |
| 2020s | 32.3 scale 0-100 | 30.52 scale 0-100 | 35.75 scale 0-100 | 5 |
Countries ranked near Venezuela
More public sector data for Venezuela
- Arms imports 98.00 million SIPRI trend indicator values (2023)
- Military expenditure 0.5% (2023)
- Military expenditure 0 current USD (2024)
- Armed forces personnel, total 343,000 (2020)
- Armed forces personnel 3.5% (2020)
- Statistical performance indicators (SPI): Pillar 1 data use score 60 scale 0-100 (2024)
- Intentional homicides 12.65 per 100,000 people (2022)
- Statistical performance indicators (SPI): Pillar 3 data products score 57.31 scale 0-100 (2024)
- Military expenditure 24,358,000,000.00 trillion current LCU (2024)
- Proportion of seats held by women in national parliaments 32.1% (2025)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 4 data sources score in Venezuela?
- Statistical performance indicators (spi): pillar 4 data sources score in Venezuela was 30.57 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 Venezuela?
- The highest recorded value was 44.19 scale 0-100 in 2015.
- What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Venezuela?
- The lowest recorded value was 30.52 scale 0-100 in 2022.
- How does Venezuela rank for statistical performance indicators (spi): pillar 4 data sources score?
- Venezuela ranks 161st out of 182 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Venezuela?
- Over the last ten years it is down 30.8%. The long-run trend across the full record is falling.
- Where does this Venezuela 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.