Croatia vs Zimbabwe: Soya beans — Gross Production Value
Croatia
65,032 1000 SLC
in 2017
Zimbabwe
38,572 1000 SLC
in 2024
Croatia rank
43rd
Zimbabwe rank
45th
Soya beans — Gross Production Value over time
- Croatia
- Zimbabwe
How they compare
Croatia currently reports 65,032 1000 SLC against 38,572 1000 SLC in Zimbabwe, a difference of 26,460 1000 SLC.
That makes Croatia's figure about 1.7 times Zimbabwe's.
The two have swapped places 5 times across 21 shared years of data; in 1992 it was Zimbabwe ahead.
Croatia ranks 43rd and Zimbabwe ranks 45th of 73 countries.
Across the 3 decades both report, Croatia averaged higher in 1 and Zimbabwe in 2.
Head to head by decade
| Decade | Croatia | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 17,321 1000 SLC | 54,995 1000 SLC | 37,673 1000 SLC | Zimbabwe |
| 2000s | 32,618 1000 SLC | 55,324 1000 SLC | 22,707 1000 SLC | Zimbabwe |
| 2010s | 55,779 1000 SLC | 29,400 1000 SLC | 26,379 1000 SLC | Croatia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher soya beans — gross production value, Croatia or Zimbabwe?
- Croatia, at 65,032 1000 SLC against 38,572 1000 SLC in Zimbabwe as of 2017.
- What is the difference in soya beans — gross production value between Croatia and Zimbabwe?
- 26,460 1000 SLC, with Croatia ahead.
- How many years of comparable data are there for Croatia and Zimbabwe?
- 21 years are reported by both, from 1992 to 2017.
- How do Croatia and Zimbabwe rank globally for soya beans — gross production value?
- Croatia ranks 43rd and Zimbabwe ranks 45th of 73 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Soya beans — Gross Production Value (constant 2014-2016 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.