Lithuania vs Saudi Arabia: Total factor productivity

Lithuania
0.9395
in 2023
Saudi Arabia
0.9467
in 2023
Lithuania rank
109th
Saudi Arabia rank
108th

Total factor productivity over time

  • Lithuania
  • Saudi Arabia
02.557.510197419982023

How they compare

Saudi Arabia currently reports 0.9467 against 0.9395 in Lithuania, a difference of 0.0072.

Across all 30 years both countries report, Saudi Arabia has been ahead every year.

Lithuania ranks 109th and Saudi Arabia ranks 108th of 120 countries.

Saudi Arabia has averaged higher in every one of the 4 decades both report.

Head to head by decade

Decade Lithuania Saudi Arabia Difference Ahead
1990s 0.6012 2.24 1.64 Saudi Arabia
2000s 0.7725 1.85 1.08 Saudi Arabia
2010s 0.8914 1.27 0.378 Saudi Arabia
2020s 0.9721 0.9942 0.0221 Saudi Arabia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher total factor productivity, Lithuania or Saudi Arabia?
Saudi Arabia, at 0.9467 against 0.9395 in Lithuania as of 2023.
What is the difference in total factor productivity between Lithuania and Saudi Arabia?
0.0072, with Saudi Arabia ahead.
How many years of comparable data are there for Lithuania and Saudi Arabia?
30 years are reported by both, from 1994 to 2023.
How do Lithuania and Saudi Arabia rank globally for total factor productivity?
Lithuania ranks 109th and Saudi Arabia ranks 108th 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.