Peru vs Uruguay: Statistical performance: Pillar 5 data infrastructure score
Statistical performance: Pillar 5 data infrastructure score over time
- Peru
- Uruguay
How they compare
Peru currently reports 75 scale 0-100 against 75 scale 0-100 in Uruguay, a difference of 0 scale 0-100.
The two have swapped places 1 time across 9 shared years of data; in 2016 it was Peru ahead.
Peru ranks 70th and Uruguay ranks 70th of 192 countries.
Across the 2 decades both report, Peru averaged higher in 1 and Uruguay in 1.
Head to head by decade
| Decade | Peru | Uruguay | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 35 scale 0-100 | 23.75 scale 0-100 | 11.25 scale 0-100 | Peru |
| 2020s | 51 scale 0-100 | 57 scale 0-100 | 6 scale 0-100 | Uruguay |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 5 data, Peru or Uruguay?
- Peru, at 75 scale 0-100 against 75 scale 0-100 in Uruguay as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 5 data between Peru and Uruguay?
- 0 scale 0-100, with Peru ahead.
- How many years of comparable data are there for Peru and Uruguay?
- 9 years are reported by both, from 2016 to 2024.
- How do Peru and Uruguay rank globally for statistical performance indicators (spi): pillar 5 data?
- Peru ranks 70th and Uruguay ranks 70th 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.