China, mainland vs Peru: Lentils, dry — Gross per capita Production Index Number
China, mainland
116.91
in 2024
Peru
109.56
in 2024
China, mainland rank
20th
Peru rank
22nd
Lentils, dry — Gross per capita Production Index Number over time
- China, mainland
- Peru
How they compare
China, mainland currently reports 116.91 against 109.56 in Peru, a difference of 7.35.
That makes China, mainland's figure about 1.1 times Peru's.
The two have swapped places 9 times across 41 shared years of data; in 1984 it was Peru ahead.
China, mainland ranks 20th and Peru ranks 22nd of 50 countries.
Across the 5 decades both report, China, mainland averaged higher in 1 and Peru in 4.
Head to head by decade
| Decade | China, mainland | Peru | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 38.08 | 99.77 | 61.69 | Peru |
| 1990s | 80.22 | 102.16 | 21.95 | Peru |
| 2000s | 99.12 | 155.21 | 56.09 | Peru |
| 2010s | 105.4 | 107.45 | 2.04 | Peru |
| 2020s | 115.9 | 98.4 | 17.49 | China, mainland |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher lentils, dry — gross per capita production index number, China, mainland or Peru?
- China, mainland, at 116.91 against 109.56 in Peru as of 2024.
- What is the difference in lentils, dry — gross per capita production index number between China, mainland and Peru?
- 7.35, with China, mainland ahead.
- How many years of comparable data are there for China, mainland and Peru?
- 41 years are reported by both, from 1984 to 2024.
- How do China, mainland and Peru rank globally for lentils, dry — gross per capita production index number?
- China, mainland ranks 20th and Peru ranks 22nd of 50 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Lentils, dry — Gross per capita Production Index Number (2014-2016 = 100). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The FAO indices of agricultural production show the relative level of the aggregate volume of agricultural production for each year in comparison with the base period 2014-2016. Indices for meat production are computed based on data on production from indigenous animals.