Guatemala vs Sweden: Statistical performance: Pillar 5 data infrastructure score
Statistical performance: Pillar 5 data infrastructure score over time
- Guatemala
- Sweden
How they compare
Guatemala currently reports 90 scale 0-100 against 90 scale 0-100 in Sweden, a difference of 0 scale 0-100.
Across all 9 years both countries report, Sweden has been ahead every year.
Guatemala ranks 13th and Sweden ranks 13th of 192 countries.
Sweden has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Guatemala | Sweden | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 27.5 scale 0-100 | 100 scale 0-100 | 72.5 scale 0-100 | Sweden |
| 2020s | 75 scale 0-100 | 98 scale 0-100 | 23 scale 0-100 | Sweden |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 5 data, Guatemala or Sweden?
- Guatemala, at 90 scale 0-100 against 90 scale 0-100 in Sweden as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 5 data between Guatemala and Sweden?
- 0 scale 0-100, with Guatemala ahead.
- How many years of comparable data are there for Guatemala and Sweden?
- 9 years are reported by both, from 2016 to 2024.
- How do Guatemala and Sweden rank globally for statistical performance indicators (spi): pillar 5 data?
- Guatemala ranks 13th and Sweden ranks 13th of 192 countries.
- Where does this data come from?
- Statistical Performance Indicators, World Bank (WB), published as Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The data infrastructure pillar overall score measures the hard and soft infrastructure segments, itemizing essential cross cutting requirements for an effective statistical system. The segments are: (i) legislation and governance covering the existence of laws and a functioning institutional framework for the statistical system; (ii) standards and methods addressing compliance with recognized frameworks and concepts; (iii) skills including level of skills within the statistical system and among users (statistical literacy); (iv) partnerships reflecting the need for the statistical system to be inclusive and coherent; and (v) finance mobilized both domestically and from donors.