Indonesia vs Kazakhstan: Total factor productivity

Indonesia
0.9955
in 2023
Kazakhstan
0.9963
in 2023
Indonesia rank
57th
Kazakhstan rank
56th

Total factor productivity over time

  • Indonesia
  • Kazakhstan
00.250.50.751196419932023

How they compare

Kazakhstan currently reports 0.9963 against 0.9955 in Indonesia, a difference of 0.0008.

The two have swapped places 1 time across 30 shared years of data; in 1994 it was Indonesia ahead.

Indonesia ranks 57th and Kazakhstan ranks 56th of 120 countries.

Across the 4 decades both report, Indonesia averaged higher in 2 and Kazakhstan in 2.

Head to head by decade

Decade Indonesia Kazakhstan Difference Ahead
1990s 0.9081 0.5667 0.3414 Indonesia
2000s 0.8279 0.8095 0.0184 Indonesia
2010s 0.955 0.994 0.039 Kazakhstan
2020s 0.9916 0.9988 0.0072 Kazakhstan

Averages of every year both report within each decade.

Frequently asked questions

Which has higher total factor productivity, Indonesia or Kazakhstan?
Kazakhstan, at 0.9963 against 0.9955 in Indonesia as of 2023.
What is the difference in total factor productivity between Indonesia and Kazakhstan?
0.0008, with Kazakhstan ahead.
How many years of comparable data are there for Indonesia and Kazakhstan?
30 years are reported by both, from 1994 to 2023.
How do Indonesia and Kazakhstan rank globally for total factor productivity?
Indonesia ranks 57th and Kazakhstan ranks 56th 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.