Denmark vs Zimbabwe: Fruit Primary — Gross Production Value
Denmark
400,369 1000 SLC
in 2024
Zimbabwe
518,675 1000 SLC
in 2018
Denmark rank
120th
Zimbabwe rank
118th
Fruit Primary — Gross Production Value over time
- Denmark
- Zimbabwe
How they compare
Zimbabwe currently reports 518,675 1000 SLC against 400,369 1000 SLC in Denmark, a difference of 118,306 1000 SLC.
That makes Zimbabwe's figure about 1.3 times Denmark's.
The two have swapped places 3 times across 21 shared years of data; in 1991 it was Denmark ahead.
Denmark ranks 120th and Zimbabwe ranks 118th of 161 countries.
Across the 3 decades both report, Denmark averaged higher in 2 and Zimbabwe in 1.
Head to head by decade
| Decade | Denmark | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 468,664 1000 SLC | 1,133 1000 SLC | 467,531 1000 SLC | Denmark |
| 2000s | 329,196 1000 SLC | 41.38 million 1000 SLC | 41.06 million 1000 SLC | Zimbabwe |
| 2010s | 423,708 1000 SLC | 408,825 1000 SLC | 14,882 1000 SLC | Denmark |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher fruit primary — gross production value, Denmark or Zimbabwe?
- Zimbabwe, at 518,675 1000 SLC against 400,369 1000 SLC in Denmark as of 2018.
- What is the difference in fruit primary — gross production value between Denmark and Zimbabwe?
- 118,306 1000 SLC, with Zimbabwe ahead.
- How many years of comparable data are there for Denmark and Zimbabwe?
- 21 years are reported by both, from 1991 to 2018.
- How do Denmark and Zimbabwe rank globally for fruit primary — gross production value?
- Denmark ranks 120th and Zimbabwe ranks 118th of 161 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Fruit Primary — 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.