Croatia vs Zimbabwe: Cereals n.e.c. — Gross Production Value
Croatia
498 1000 SLC
in 2017
Zimbabwe
808 1000 SLC
in 2024
Croatia rank
36th
Zimbabwe rank
34th
Cereals n.e.c. — Gross Production Value over time
- Croatia
- Zimbabwe
How they compare
Zimbabwe currently reports 808 1000 SLC against 498 1000 SLC in Croatia, a difference of 310 1000 SLC.
That makes Zimbabwe's figure about 1.6 times Croatia's.
The two have swapped places 2 times across 18 shared years of data; in 1992 it was Zimbabwe ahead.
Croatia ranks 36th and Zimbabwe ranks 34th of 43 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 | 383.38 1000 SLC | 570.75 1000 SLC | 187.38 1000 SLC | Zimbabwe |
| 2000s | 448.4 1000 SLC | 703 1000 SLC | 254.6 1000 SLC | Zimbabwe |
| 2010s | 581.2 1000 SLC | 794.6 1000 SLC | 213.4 1000 SLC | Zimbabwe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher cereals n.e.c. — gross production value, Croatia or Zimbabwe?
- Zimbabwe, at 808 1000 SLC against 498 1000 SLC in Croatia as of 2024.
- What is the difference in cereals n.e.c. — gross production value between Croatia and Zimbabwe?
- 310 1000 SLC, with Zimbabwe ahead.
- How many years of comparable data are there for Croatia and Zimbabwe?
- 18 years are reported by both, from 1992 to 2017.
- How do Croatia and Zimbabwe rank globally for cereals n.e.c. — gross production value?
- Croatia ranks 36th and Zimbabwe ranks 34th of 43 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Cereals n.e.c. — 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.