Chile vs Lower middle income: Statistical performance indicators (SPI): Pillar 5 data infrastructure
Statistical performance indicators (SPI): Pillar 5 data infrastructure over time
- Chile
- Lower middle income
How they compare
Chile currently reports 95 scale 0-100 against 57.04 scale 0-100 in Lower middle income, a difference of 37.96 scale 0-100.
That makes Chile's figure about 1.7 times Lower middle income's.
Across all 9 years both countries report, Chile has been ahead every year.
Chile ranks 6th and Lower middle income ranks 4th of 190 countries.
Chile has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Chile | Lower middle income | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 82.5 scale 0-100 | 35.82 scale 0-100 | 46.68 scale 0-100 | Chile |
| 2020s | 95 scale 0-100 | 51.5 scale 0-100 | 43.5 scale 0-100 | Chile |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 5 data infrastructure, Chile or Lower middle income?
- Chile, at 95 scale 0-100 against 57.04 scale 0-100 in Lower middle income as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 5 data infrastructure between Chile and Lower middle income?
- 37.96 scale 0-100, with Chile ahead.
- How many years of comparable data are there for Chile and Lower middle income?
- 9 years are reported by both, from 2016 to 2024.
- How do Chile and Lower middle income rank globally for statistical performance indicators (spi): pillar 5 data infrastructure?
- Chile ranks 6th and Lower middle income ranks 4th of 190 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.