Serbia and Montenegro vs Zimbabwe: Oranges — Gross Production Value
Serbia and Montenegro
76,188 1000 SLC
in 2005
Zimbabwe
76,396 1000 SLC
in 2018
Serbia and Montenegro rank
58th
Zimbabwe rank
57th
Oranges — Gross Production Value over time
- Serbia and Montenegro
- Zimbabwe
How they compare
Zimbabwe currently reports 76,396 1000 SLC against 76,188 1000 SLC in Serbia and Montenegro, a difference of 208 1000 SLC.
The two have swapped places 1 time across 12 shared years of data; in 1994 it was Serbia and Montenegro ahead.
Serbia and Montenegro ranks 58th and Zimbabwe ranks 57th of 90 countries.
Across the 2 decades both report, Serbia and Montenegro averaged higher in 1 and Zimbabwe in 1.
Head to head by decade
| Decade | Serbia and Montenegro | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 3,630 1000 SLC | 383.67 1000 SLC | 3,246 1000 SLC | Serbia and Montenegro |
| 2000s | 61,340 1000 SLC | 176,514 1000 SLC | 115,174 1000 SLC | Zimbabwe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher oranges — gross production value, Serbia and Montenegro or Zimbabwe?
- Zimbabwe, at 76,396 1000 SLC against 76,188 1000 SLC in Serbia and Montenegro as of 2018.
- What is the difference in oranges — gross production value between Serbia and Montenegro and Zimbabwe?
- 208 1000 SLC, with Zimbabwe ahead.
- How many years of comparable data are there for Serbia and Montenegro and Zimbabwe?
- 12 years are reported by both, from 1994 to 2005.
- How do Serbia and Montenegro and Zimbabwe rank globally for oranges — gross production value?
- Serbia and Montenegro ranks 58th and Zimbabwe ranks 57th of 90 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Oranges — 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.