Kenya vs Singapore: Total factor productivity

Kenya
0.9928
in 2023
Singapore
0.9914
in 2023
Kenya rank
62nd
Singapore rank
63rd

Total factor productivity over time

  • Kenya
  • Singapore
00.250.50.7511.2195419882023

How they compare

Kenya currently reports 0.9928 against 0.9914 in Singapore, a difference of 0.0014.

The two have swapped places 6 times across 60 shared years of data; in 1964 it was Kenya ahead.

Kenya ranks 62nd and Singapore ranks 63rd of 120 countries.

Across the 7 decades both report, Kenya averaged higher in 3 and Singapore in 4.

Head to head by decade

Decade Kenya Singapore Difference Ahead
1960s 1.14 1.11 0.037 Kenya
1970s 1.06 1.1 0.0452 Singapore
1980s 1.07 0.9946 0.0739 Kenya
1990s 1 1.02 0.0145 Singapore
2000s 0.8753 0.9607 0.0854 Singapore
2010s 0.9515 1 0.0524 Singapore
2020s 0.9937 0.9921 0.0015 Kenya

Averages of every year both report within each decade.

Frequently asked questions

Which has higher total factor productivity, Kenya or Singapore?
Kenya, at 0.9928 against 0.9914 in Singapore as of 2023.
What is the difference in total factor productivity between Kenya and Singapore?
0.0014, with Kenya ahead.
How many years of comparable data are there for Kenya and Singapore?
60 years are reported by both, from 1964 to 2023.
How do Kenya and Singapore rank globally for total factor productivity?
Kenya ranks 62nd and Singapore ranks 63rd of 120 countries.
Where does this data come from?
Feenstra et al. - Penn World Table (2025) – with major processing by Our World in Data, published as Total factor productivity. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

About this data

Indicator
Total factor productivity
Source
Feenstra et al. - Penn World Table (2025) – with major processing by Our World in Data
Licence
CC BY 4.0 (Our World in Data)
Coverage
120 places, 6,892 data points, 1954–2023
Last refreshed

This is the level of total factor productivity, relative to each country's value in 2021 (which is set to 1). This data is adjusted for inflation and differences in living costs between countries.