Croatia vs Zimbabwe: Maize (corn) — Gross Production Value
Croatia
186,230 1000 SLC
in 2017
Zimbabwe
230,607 1000 SLC
in 2024
Croatia rank
87th
Zimbabwe rank
85th
Maize (corn) — Gross Production Value over time
- Croatia
- Zimbabwe
How they compare
Zimbabwe currently reports 230,607 1000 SLC against 186,230 1000 SLC in Croatia, a difference of 44,377 1000 SLC.
That makes Zimbabwe's figure about 1.2 times Croatia's.
The two have swapped places 5 times across 21 shared years of data; in 1992 it was Croatia ahead.
Croatia ranks 87th and Zimbabwe ranks 85th of 125 countries.
Zimbabwe has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Croatia | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 221,194 1000 SLC | 537,720 1000 SLC | 316,526 1000 SLC | Zimbabwe |
| 2000s | 203,837 1000 SLC | 541,780 1000 SLC | 337,943 1000 SLC | Zimbabwe |
| 2010s | 223,160 1000 SLC | 334,370 1000 SLC | 111,210 1000 SLC | Zimbabwe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher maize (corn) — gross production value, Croatia or Zimbabwe?
- Zimbabwe, at 230,607 1000 SLC against 186,230 1000 SLC in Croatia as of 2024.
- What is the difference in maize (corn) — gross production value between Croatia and Zimbabwe?
- 44,377 1000 SLC, with Zimbabwe 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 maize (corn) — gross production value?
- Croatia ranks 87th and Zimbabwe ranks 85th of 125 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Maize (corn) — 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.