Sweden vs Zimbabwe: Plums and sloes — Gross Production Value
Sweden
1,785 1000 SLC
in 2017
Zimbabwe
881 1000 SLC
in 2024
Sweden rank
65th
Zimbabwe rank
67th
Plums and sloes — Gross Production Value over time
- Sweden
- Zimbabwe
How they compare
Sweden currently reports 1,785 1000 SLC against 881 1000 SLC in Zimbabwe, a difference of 904 1000 SLC.
That makes Sweden's figure about 2.0 times Zimbabwe's.
Across all 38 years both countries report, Sweden has been ahead every year.
Sweden ranks 65th and Zimbabwe ranks 67th of 75 countries.
Sweden has averaged higher in every one of the 5 decades both report.
Head to head by decade
| Decade | Sweden | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 33,379 1000 SLC | 920.8 1000 SLC | 32,458 1000 SLC | Sweden |
| 1980s | 25,994 1000 SLC | 681.7 1000 SLC | 25,312 1000 SLC | Sweden |
| 1990s | 3,773 1000 SLC | 528.2 1000 SLC | 3,245 1000 SLC | Sweden |
| 2000s | 2,874 1000 SLC | 628.25 1000 SLC | 2,246 1000 SLC | Sweden |
| 2010s | 1,656 1000 SLC | 825.8 1000 SLC | 830.6 1000 SLC | Sweden |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher plums and sloes — gross production value, Sweden or Zimbabwe?
- Sweden, at 1,785 1000 SLC against 881 1000 SLC in Zimbabwe as of 2017.
- What is the difference in plums and sloes — gross production value between Sweden and Zimbabwe?
- 904 1000 SLC, with Sweden ahead.
- How many years of comparable data are there for Sweden and Zimbabwe?
- 38 years are reported by both, from 1975 to 2017.
- How do Sweden and Zimbabwe rank globally for plums and sloes — gross production value?
- Sweden ranks 65th 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.