Statistical performance indicators (SPI): Pillar 1 data use score in Kenya
Kenya: Statistical performance indicators (SPI): Pillar 1 data use score was 90 scale 0-100 in 2024. ◆ Volatile
Statistical performance indicators (SPI): Pillar 1 data use score in Kenya, 2004–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
In 2024, statistical performance indicators (spi): pillar 1 data use score in Kenya stood at 90 scale 0-100. That is the highest value across all 21 years on record.
Compared with earlier readings it is up 200.0% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 1 data use score in Kenya peaked at 90 scale 0-100 in 2020 and was at its lowest, 20 scale 0-100, in 2004.
That places Kenya 61st out of 217 countries with data for 2024, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 20 scale 0-100 | 20 scale 0-100 | 20 scale 0-100 | 6 |
| 2010s | 50 scale 0-100 | 30 scale 0-100 | 80 scale 0-100 | 10 |
| 2020s | 90 scale 0-100 | 90 scale 0-100 | 90 scale 0-100 | 5 |
Countries ranked near Kenya
- 61 Argentina 90 scale 0-100 compare
- 61 Armenia 90 scale 0-100 compare
- 61 Benin 90 scale 0-100 compare
- 61 Burkina Faso 90 scale 0-100 compare
- 61 El Salvador 90 scale 0-100 compare
- 61 Ethiopia 90 scale 0-100 compare
- 61 Gambia 90 scale 0-100 compare
- 61 Guatemala 90 scale 0-100 compare
- 61 Honduras 90 scale 0-100 compare
- 61 Hungary 90 scale 0-100 compare
- 61 Laos 90 scale 0-100 compare
- 61 Mauritius 90 scale 0-100 compare
- 61 Mongolia 90 scale 0-100 compare
- 61 Montenegro 90 scale 0-100 compare
- 61 Mozambique 90 scale 0-100 compare
- 61 Niger 90 scale 0-100 compare
- 61 Pakistan 90 scale 0-100 compare
- 61 Rwanda 90 scale 0-100 compare
- 61 Seychelles 90 scale 0-100 compare
- 61 Slovakia 90 scale 0-100 compare
- 61 Sri Lanka 90 scale 0-100 compare
- 61 Tunisia 90 scale 0-100 compare
- 61 United Arab Emirates 90 scale 0-100 compare
- 61 Uzbekistan 90 scale 0-100 compare
- 61 Zambia 90 scale 0-100 compare
More public sector data for Kenya
- Arms imports 17.00 million SIPRI trend indicator values (2024)
- Tax revenue 14.1% (2023)
- Taxes on income, profits and capital gains 33.3% (2023)
- Taxes on goods and services 33.5% (2023)
- Net investment in nonfinancial assets 6.9% (2023)
- Net lending (+) / net borrowing (-) -10.0% (2023)
- Interest payments 24.3% (2023)
- Grants and other revenue 21.3% (2023)
- Interest payments 16.4% (2023)
- Other taxes 0.0% (2021)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 1 data use score in Kenya?
- Statistical performance indicators (spi): pillar 1 data use score in Kenya was 90 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
- What is the highest statistical performance indicators (spi): pillar 1 data use score recorded in Kenya?
- The highest recorded value was 90 scale 0-100 in 2020.
- What is the lowest statistical performance indicators (spi): pillar 1 data use score recorded in Kenya?
- The lowest recorded value was 20 scale 0-100 in 2004.
- How does Kenya rank for statistical performance indicators (spi): pillar 1 data use score?
- Kenya ranks 61st out of 217 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 1 data use score rising or falling in Kenya?
- Over the last ten years it is up 200.0%. The long-run trend across the full record is volatile.
- Where does this Kenya data come from?
- The figures come from Statistical Performance Indicators, World Bank (WB), published as part of Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 21 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
The data use overall score is a composite score measuring the demand side of the statistical system. The data use pillar is segmented by five types of users: (i) the legislature, (ii) the executive branch, (iii) civil society (including sub-national actors), (iv) academia and (v) international bodies. Each dimension would have associated indicators to measure performance. A mature system would score well across all dimensions whereas a less mature one would have weaker scores along certain dimensions. The gaps would give insights into prioritization among user groups and help answer questions as to why the existing services are not resulting in higher use of national statistics in a particular segment. Currently, the SPI only features indicators for one of the five dimensions of data use, which is data use by international organizations. Indicators on whether statistical systems are providing useful data to their national governments (legislature and executive branches), to civil society, and to academia are absent. Thus the dashboard does not yet assess if national statistical systems are meeting the data needs of a large swathe of users.