Brazil vs Kosovo: Statistical performance indicators (SPI): Pillar 5 data
Statistical performance indicators (SPI): Pillar 5 data over time
- Brazil
- Kosovo
How they compare
Brazil currently reports 80 scale 0-100 against 80 scale 0-100 in Kosovo, a difference of 0 scale 0-100.
The two have swapped places 2 times across 8 shared years of data; in 2017 it was Kosovo ahead.
Brazil ranks 50th and Kosovo ranks 50th of 192 countries.
Across the 2 decades both report, Brazil averaged higher in 1 and Kosovo in 1.
Head to head by decade
| Decade | Brazil | Kosovo | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 65 scale 0-100 | 56.67 scale 0-100 | 8.33 scale 0-100 | Brazil |
| 2020s | 72 scale 0-100 | 76 scale 0-100 | 4 scale 0-100 | Kosovo |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 5 data, Brazil or Kosovo?
- Brazil, at 80 scale 0-100 against 80 scale 0-100 in Kosovo as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 5 data between Brazil and Kosovo?
- 0 scale 0-100, with Brazil ahead.
- How many years of comparable data are there for Brazil and Kosovo?
- 8 years are reported by both, from 2017 to 2024.
- How do Brazil and Kosovo rank globally for statistical performance indicators (spi): pillar 5 data?
- Brazil ranks 50th and Kosovo ranks 50th 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.