Peru vs Zimbabwe: Soya beans — Gross per capita Production Index Number
Peru
110.14
in 2024
Zimbabwe
111.66
in 2024
Peru rank
46th
Zimbabwe rank
44th
Soya beans — Gross per capita Production Index Number over time
- Peru
- Zimbabwe
How they compare
Zimbabwe currently reports 111.66 against 110.14 in Peru, a difference of 1.52.
The two have swapped places 21 times across 62 shared years of data; in 1961 it was Peru ahead.
Peru ranks 46th and Zimbabwe ranks 44th of 85 countries.
Across the 7 decades both report, Peru averaged higher in 4 and Zimbabwe in 3.
Head to head by decade
| Decade | Peru | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 113.27 | 2.73 | 110.54 | Peru |
| 1970s | 255.63 | 148.64 | 106.99 | Peru |
| 1980s | 572.68 | 298.04 | 274.64 | Peru |
| 1990s | 149.66 | 247.82 | 98.16 | Zimbabwe |
| 2000s | 159.11 | 216.57 | 57.46 | Zimbabwe |
| 2010s | 114.53 | 102.92 | 11.61 | Peru |
| 2020s | 99.18 | 102.76 | 3.58 | Zimbabwe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher soya beans — gross per capita production index number, Peru or Zimbabwe?
- Zimbabwe, at 111.66 against 110.14 in Peru as of 2024.
- What is the difference in soya beans — gross per capita production index number between Peru and Zimbabwe?
- 1.52, with Zimbabwe ahead.
- How many years of comparable data are there for Peru and Zimbabwe?
- 62 years are reported by both, from 1961 to 2024.
- How do Peru and Zimbabwe rank globally for soya beans — gross per capita production index number?
- Peru ranks 46th and Zimbabwe ranks 44th of 85 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Soya 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.