Statistical performance indicators (SPI): Pillar 4 data sources score in Guyana
Guyana: Statistical performance indicators (SPI): Pillar 4 data sources score was 33.71 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 4 data sources score in Guyana, 2015–2024
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 Guyana stood at 33.71 scale 0-100.
Compared with earlier readings it is up 7.5% on the previous year and up 77.6% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Guyana peaked at 35.71 scale 0-100 in 2020 and was at its lowest, 17.18 scale 0-100, in 2017.
That places Guyana 158th out of 182 countries with data for 2024, putting it in the bottom quarter.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 21.95 scale 0-100 | 17.18 scale 0-100 | 34.68 scale 0-100 | 5 |
| 2020s | 33.24 scale 0-100 | 31.36 scale 0-100 | 35.71 scale 0-100 | 5 |
Countries ranked near Guyana
More public sector data for Guyana
- Arms imports 9.00 million SIPRI trend indicator values (2024)
- Military expenditure 0.9% (2024)
- Military expenditure 201.84 million current USD (2024)
- Armed forces personnel, total 3,000 (2020)
- Armed forces personnel 1.0% (2020)
- Statistical performance indicators (SPI): Pillar 1 data use score 60 scale 0-100 (2024)
- Intentional homicides 19.12 per 100,000 people (2023)
- Statistical performance indicators (SPI): Pillar 3 data products score 64.75 scale 0-100 (2024)
- Military expenditure 42.23 billion current LCU (2024)
- Proportion of seats held by women in national parliaments 36.1% (2025)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 4 data sources score in Guyana?
- Statistical performance indicators (spi): pillar 4 data sources score in Guyana was 33.71 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 Guyana?
- The highest recorded value was 35.71 scale 0-100 in 2020.
- What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Guyana?
- The lowest recorded value was 17.18 scale 0-100 in 2017.
- How does Guyana rank for statistical performance indicators (spi): pillar 4 data sources score?
- Guyana ranks 158th out of 182 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Guyana?
- Over the last ten years it is up 77.6%. The long-run trend across the full record is rising.
- Where does this Guyana 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.