Lithuania vs Zimbabwe: Plums and sloes — Gross Production Value
Lithuania
350 1000 SLC
in 2017
Zimbabwe
881 1000 SLC
in 2024
Lithuania rank
70th
Zimbabwe rank
67th
Plums and sloes — Gross Production Value over time
- Lithuania
- Zimbabwe
How they compare
Zimbabwe currently reports 881 1000 SLC against 350 1000 SLC in Lithuania, a difference of 531 1000 SLC.
That makes Zimbabwe's figure about 2.5 times Lithuania's.
The two have swapped places 3 times across 21 shared years of data; in 1992 it was Lithuania ahead.
Lithuania ranks 70th and Zimbabwe ranks 67th of 75 countries.
Across the 3 decades both report, Lithuania averaged higher in 2 and Zimbabwe in 1.
Head to head by decade
| Decade | Lithuania | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 4,250 1000 SLC | 560.88 1000 SLC | 3,689 1000 SLC | Lithuania |
| 2000s | 1,838 1000 SLC | 628.25 1000 SLC | 1,210 1000 SLC | Lithuania |
| 2010s | 736.2 1000 SLC | 825.8 1000 SLC | 89.6 1000 SLC | Zimbabwe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher plums and sloes — gross production value, Lithuania or Zimbabwe?
- Zimbabwe, at 881 1000 SLC against 350 1000 SLC in Lithuania as of 2024.
- What is the difference in plums and sloes — gross production value between Lithuania and Zimbabwe?
- 531 1000 SLC, with Zimbabwe ahead.
- How many years of comparable data are there for Lithuania and Zimbabwe?
- 21 years are reported by both, from 1992 to 2017.
- How do Lithuania and Zimbabwe rank globally for plums and sloes — gross production value?
- Lithuania ranks 70th and Zimbabwe ranks 67th of 75 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Plums and sloes — 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.