Kenya vs South Africa: Statistical performance indicators (SPI): Pillar 3 data products score
Statistical performance indicators (SPI): Pillar 3 data products score over time
- Kenya
- South Africa
How they compare
Kenya currently reports 80.92 scale 0-100 against 80.56 scale 0-100 in South Africa, a difference of 0.36 scale 0-100.
The two have swapped places 2 times across 20 shared years of data; in 2005 it was Kenya ahead.
Kenya ranks 56th and South Africa ranks 57th of 215 countries.
Across the 3 decades both report, Kenya averaged higher in 1 and South Africa in 2.
Head to head by decade
| Decade | Kenya | South Africa | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 67.76 scale 0-100 | 59.08 scale 0-100 | 8.68 scale 0-100 | Kenya |
| 2010s | 65.34 scale 0-100 | 68.21 scale 0-100 | 2.86 scale 0-100 | South Africa |
| 2020s | 76.42 scale 0-100 | 83.06 scale 0-100 | 6.64 scale 0-100 | South Africa |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 3 data products score, Kenya or South Africa?
- Kenya, at 80.92 scale 0-100 against 80.56 scale 0-100 in South Africa as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 3 data products score between Kenya and South Africa?
- 0.36 scale 0-100, with Kenya ahead.
- How many years of comparable data are there for Kenya and South Africa?
- 20 years are reported by both, from 2005 to 2024.
- How do Kenya and South Africa rank globally for statistical performance indicators (spi): pillar 3 data products score?
- Kenya ranks 56th and South Africa ranks 57th of 215 countries.
- Where does this data come from?
- Statistical Performance Indicators, World Bank (WB), published as Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100). Statizoid refreshes it automatically from the source and publishes the full history for both places.
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About this data
The data products overall score is a composite score measuring whether the country is able to produce relevant indicators, primarily related to SDGs. The data products (internal process) pillar is segmented by four topics and organized into (i) social, (ii) economic, (iii) environmental, and (iv) institutional dimensions using the typology of the Sustainable Development Goals (SDGs). This approach anchors the national statistical system's performance around the essential data required to support the achievement of the 2030 global goals, and enables comparisons across countries so that a global view can be generated while enabling country specific emphasis to reflect the user needs of that country.