Peru vs Tanzania: Total factor productivity

Peru
0.9623
in 2023
Tanzania
0.9566
in 2023
Peru rank
102nd
Tanzania rank
105th

Total factor productivity over time

  • Peru
  • Tanzania
00.511.52195419882023

How they compare

Peru currently reports 0.9623 against 0.9566 in Tanzania, a difference of 0.0057.

The two have swapped places 4 times across 60 shared years of data; in 1964 it was Peru ahead.

Peru ranks 102nd and Tanzania ranks 105th of 120 countries.

Across the 7 decades both report, Peru averaged higher in 5 and Tanzania in 2.

Head to head by decade

Decade Peru Tanzania Difference Ahead
1960s 1.74 1.06 0.6791 Peru
1970s 1.72 0.9309 0.7939 Peru
1980s 1.37 0.8622 0.5088 Peru
1990s 1.04 0.9502 0.0877 Peru
2000s 1.03 1.08 0.0557 Tanzania
2010s 1.09 1.06 0.0238 Peru
2020s 0.9669 0.9904 0.0235 Tanzania

Averages of every year both report within each decade.

Frequently asked questions

Which has higher total factor productivity, Peru or Tanzania?
Peru, at 0.9623 against 0.9566 in Tanzania as of 2023.
What is the difference in total factor productivity between Peru and Tanzania?
0.0057, with Peru ahead.
How many years of comparable data are there for Peru and Tanzania?
60 years are reported by both, from 1964 to 2023.
How do Peru and Tanzania rank globally for total factor productivity?
Peru ranks 102nd and Tanzania ranks 105th 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.