Australia vs Zimbabwe: Soya beans — Gross Production Value
Australia
42,852 1000 SLC
in 2024
Zimbabwe
54,357 1000 SLC
in 2018
Australia rank
52nd
Zimbabwe rank
50th
Soya beans — Gross Production Value over time
- Australia
- Zimbabwe
How they compare
Zimbabwe currently reports 54,357 1000 SLC against 42,852 1000 SLC in Australia, a difference of 11,505 1000 SLC.
That makes Zimbabwe's figure about 1.3 times Australia's.
The two have swapped places 3 times across 23 shared years of data; in 1991 it was Australia ahead.
Australia ranks 52nd and Zimbabwe ranks 50th of 75 countries.
Across the 3 decades both report, Australia averaged higher in 1 and Zimbabwe in 2.
Head to head by decade
| Decade | Australia | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 24,956 1000 SLC | 818.89 1000 SLC | 24,137 1000 SLC | Australia |
| 2000s | 19,411 1000 SLC | 93.84 million 1000 SLC | 93.82 million 1000 SLC | Zimbabwe |
| 2010s | 22,736 1000 SLC | 33,148 1000 SLC | 10,412 1000 SLC | Zimbabwe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher soya beans — gross production value, Australia or Zimbabwe?
- Zimbabwe, at 54,357 1000 SLC against 42,852 1000 SLC in Australia as of 2018.
- What is the difference in soya beans — gross production value between Australia and Zimbabwe?
- 11,505 1000 SLC, with Zimbabwe ahead.
- How many years of comparable data are there for Australia and Zimbabwe?
- 23 years are reported by both, from 1991 to 2018.
- How do Australia and Zimbabwe rank globally for soya beans — gross production value?
- Australia ranks 52nd and Zimbabwe ranks 50th of 75 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Soya beans — 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.