Peru vs Zimbabwe: Sugar cane — Gross Production Value
Peru
2.61 million 1000 SLC
in 2024
Zimbabwe
3.43 million 1000 SLC
in 2018
Peru rank
41st
Zimbabwe rank
40th
Sugar cane — Gross Production Value over time
- Peru
- Zimbabwe
How they compare
Zimbabwe currently reports 3.43 million 1000 SLC against 2.61 million 1000 SLC in Peru, a difference of 817,580 1000 SLC.
That makes Zimbabwe's figure about 1.3 times Peru's.
The two have swapped places 1 time across 21 shared years of data; in 1991 it was Peru ahead.
Peru ranks 41st and Zimbabwe ranks 40th of 64 countries.
Across the 3 decades both report, Peru averaged higher in 1 and Zimbabwe in 2.
Head to head by decade
| Decade | Peru | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 430,119 1000 SLC | 31,299 1000 SLC | 398,820 1000 SLC | Peru |
| 2000s | 529,398 1000 SLC | 655.63 million 1000 SLC | 655.11 million 1000 SLC | Zimbabwe |
| 2010s | 1.34 million 1000 SLC | 2.58 million 1000 SLC | 1.25 million 1000 SLC | Zimbabwe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher sugar cane — gross production value, Peru or Zimbabwe?
- Zimbabwe, at 3.43 million 1000 SLC against 2.61 million 1000 SLC in Peru as of 2018.
- What is the difference in sugar cane — gross production value between Peru and Zimbabwe?
- 817,580 1000 SLC, with Zimbabwe ahead.
- How many years of comparable data are there for Peru and Zimbabwe?
- 21 years are reported by both, from 1991 to 2018.
- How do Peru and Zimbabwe rank globally for sugar cane — gross production value?
- Peru ranks 41st and Zimbabwe ranks 40th of 64 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Sugar cane — Gross Production Value (current thousand SLC). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The domain provides detailed data on the value of agricultural production that is calculated by the agricultural production data and the price data at farm gate. Thus, the value of production measures the agricultural production in monetary terms at the farm gate level.