Argentina vs Peru: String beans — Gross per capita Production Index Number
Argentina
100.94
in 2024
Peru
93.71
in 2024
Argentina rank
6th
Peru rank
7th
String beans — Gross per capita Production Index Number over time
- Argentina
- Peru
How they compare
Argentina currently reports 100.94 against 93.71 in Peru, a difference of 7.23.
That makes Argentina's figure about 1.1 times Peru's.
The two have swapped places 2 times across 64 shared years of data; in 1961 it was Argentina ahead.
Argentina ranks 6th and Peru ranks 7th of 17 countries.
Across the 7 decades both report, Argentina averaged higher in 6 and Peru in 1.
Head to head by decade
| Decade | Argentina | Peru | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 104.49 | 18.59 | 85.9 | Argentina |
| 1970s | 106.96 | 52.22 | 54.74 | Argentina |
| 1980s | 105.77 | 54.54 | 51.23 | Argentina |
| 1990s | 106.34 | 59.8 | 46.54 | Argentina |
| 2000s | 103.94 | 91.68 | 12.26 | Argentina |
| 2010s | 100.4 | 100.45 | 0.055 | Peru |
| 2020s | 100.29 | 95.01 | 5.28 | Argentina |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher string beans — gross per capita production index number, Argentina or Peru?
- Argentina, at 100.94 against 93.71 in Peru as of 2024.
- What is the difference in string beans — gross per capita production index number between Argentina and Peru?
- 7.23, with Argentina ahead.
- How many years of comparable data are there for Argentina and Peru?
- 64 years are reported by both, from 1961 to 2024.
- How do Argentina and Peru rank globally for string beans — gross per capita production index number?
- Argentina ranks 6th and Peru ranks 7th of 17 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as String beans — 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.