Statistical performance indicators (SPI): Pillar 4 data sources score in Guatemala
Guatemala: Statistical performance indicators (SPI): Pillar 4 data sources score was 69.47 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 4 data sources score in Guatemala, 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 Guatemala stood at 69.47 scale 0-100.
Compared with earlier readings it is down 5.3% on the previous year and up 10.3% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Guatemala peaked at 73.36 scale 0-100 in 2023 and was at its lowest, 55.98 scale 0-100, in 2017.
Guatemala ranks 68th of 182 countries on this measure, in the middle of the range.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 60.45 scale 0-100 | 55.98 scale 0-100 | 62.98 scale 0-100 | 5 |
| 2020s | 70.48 scale 0-100 | 65.62 scale 0-100 | 73.36 scale 0-100 | 5 |
Countries ranked near Guatemala
- 65 Iran 69.9 scale 0-100 compare
- 66 Serbia 69.88 scale 0-100 compare
- 67 Uruguay 69.53 scale 0-100 compare
- 69 United Arab Emirates 68.74 scale 0-100 compare
- 70 Montenegro 68.71 scale 0-100 compare
- 71 Uzbekistan 68.21 scale 0-100 compare
More public sector data for Guatemala
- Arms imports 6.00 million SIPRI trend indicator values (2023)
- Tax revenue 11.6% (2024)
- Taxes on income, profits and capital gains 33.9% (2024)
- Taxes on goods and services 51.9% (2024)
- Net investment in nonfinancial assets 0.3% (2024)
- Net lending (+) / net borrowing (-) -0.9% (2024)
- Interest payments 12.5% (2024)
- Grants and other revenue 3.1% (2024)
- Interest payments 12.0% (2023)
- Other taxes 0.6% (2024)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 4 data sources score in Guatemala?
- Statistical performance indicators (spi): pillar 4 data sources score in Guatemala was 69.47 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 Guatemala?
- The highest recorded value was 73.36 scale 0-100 in 2023.
- What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Guatemala?
- The lowest recorded value was 55.98 scale 0-100 in 2017.
- How does Guatemala rank for statistical performance indicators (spi): pillar 4 data sources score?
- Guatemala ranks 68th out of 182 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Guatemala?
- Over the last ten years it is up 10.3%. The long-run trend across the full record is rising.
- Where does this Guatemala 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.