Slovenia vs Zimbabwe: Plums and sloes — Gross Production Value
Slovenia
773 1000 SLC
in 2024
Zimbabwe
934 1000 SLC
in 2018
Slovenia rank
72nd
Zimbabwe rank
70th
Plums and sloes — Gross Production Value over time
- Slovenia
- Zimbabwe
How they compare
Zimbabwe currently reports 934 1000 SLC against 773 1000 SLC in Slovenia, a difference of 161 1000 SLC.
That makes Zimbabwe's figure about 1.2 times Slovenia's.
The two have swapped places 1 time across 20 shared years of data; in 1992 it was Slovenia ahead.
Slovenia ranks 72nd and Zimbabwe ranks 70th of 77 countries.
Across the 3 decades both report, Slovenia averaged higher in 1 and Zimbabwe in 2.
Head to head by decade
| Decade | Slovenia | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1,095 1000 SLC | 1.38 1000 SLC | 1,094 1000 SLC | Slovenia |
| 2000s | 3,045 1000 SLC | 21,471 1000 SLC | 18,426 1000 SLC | Zimbabwe |
| 2010s | 321.5 1000 SLC | 860 1000 SLC | 538.5 1000 SLC | Zimbabwe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher plums and sloes — gross production value, Slovenia or Zimbabwe?
- Zimbabwe, at 934 1000 SLC against 773 1000 SLC in Slovenia as of 2018.
- What is the difference in plums and sloes — gross production value between Slovenia and Zimbabwe?
- 161 1000 SLC, with Zimbabwe ahead.
- How many years of comparable data are there for Slovenia and Zimbabwe?
- 20 years are reported by both, from 1992 to 2018.
- How do Slovenia and Zimbabwe rank globally for plums and sloes — gross production value?
- Slovenia ranks 72nd and Zimbabwe ranks 70th of 77 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Plums and sloes — 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.