Malawi vs Sierra Leone: Statistical performance: Pillar 5 data infrastructure score
Statistical performance: Pillar 5 data infrastructure score over time
- Malawi
- Sierra Leone
How they compare
Malawi currently reports 55 scale 0-100 against 55 scale 0-100 in Sierra Leone, a difference of 0 scale 0-100.
The two have swapped places 2 times across 9 shared years of data; in 2016 it was Sierra Leone ahead.
Malawi ranks 117th and Sierra Leone ranks 117th of 192 countries.
Malawi has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Malawi | Sierra Leone | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 21.25 scale 0-100 | 21.25 scale 0-100 | 0 scale 0-100 | — |
| 2020s | 44 scale 0-100 | 40 scale 0-100 | 4 scale 0-100 | Malawi |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 5 data, Malawi or Sierra Leone?
- Malawi, at 55 scale 0-100 against 55 scale 0-100 in Sierra Leone as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 5 data between Malawi and Sierra Leone?
- 0 scale 0-100, with Malawi ahead.
- How many years of comparable data are there for Malawi and Sierra Leone?
- 9 years are reported by both, from 2016 to 2024.
- How do Malawi and Sierra Leone rank globally for statistical performance indicators (spi): pillar 5 data?
- Malawi ranks 117th and Sierra Leone ranks 117th 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.