Botswana vs Zimbabwe: Statistical performance indicators (SPI): Pillar 5 data infrastructure
Statistical performance indicators (SPI): Pillar 5 data infrastructure over time
- Botswana
- Zimbabwe
How they compare
Botswana currently reports 60 scale 0-100 against 60 scale 0-100 in Zimbabwe, a difference of 0 scale 0-100.
Across all 9 years both countries report, Zimbabwe has been ahead every year.
Botswana ranks 100th and Zimbabwe ranks 100th of 190 countries.
Zimbabwe has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Botswana | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 35 scale 0-100 | 40 scale 0-100 | 5 scale 0-100 | Zimbabwe |
| 2020s | 49 scale 0-100 | 58 scale 0-100 | 9 scale 0-100 | Zimbabwe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 5 data infrastructure, Botswana or Zimbabwe?
- Botswana, at 60 scale 0-100 against 60 scale 0-100 in Zimbabwe as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 5 data infrastructure between Botswana and Zimbabwe?
- 0 scale 0-100, with Botswana ahead.
- How many years of comparable data are there for Botswana and Zimbabwe?
- 9 years are reported by both, from 2016 to 2024.
- How do Botswana and Zimbabwe rank globally for statistical performance indicators (spi): pillar 5 data infrastructure?
- Botswana ranks 100th and Zimbabwe ranks 100th 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.