Malaysia vs Zimbabwe: Non Food — Gross Production Value
Malaysia
841,195 1000 SLC
in 2024
Zimbabwe
700,526 1000 SLC
in 2018
Malaysia rank
55th
Zimbabwe rank
56th
Non Food — Gross Production Value over time
- Malaysia
- Zimbabwe
How they compare
Malaysia currently reports 841,195 1000 SLC against 700,526 1000 SLC in Zimbabwe, a difference of 140,669 1000 SLC.
That makes Malaysia's figure about 1.2 times Zimbabwe's.
The two have swapped places 2 times across 22 shared years of data; in 1991 it was Malaysia ahead.
Malaysia ranks 55th and Zimbabwe ranks 56th of 120 countries.
Across the 3 decades both report, Malaysia averaged higher in 2 and Zimbabwe in 1.
Head to head by decade
| Decade | Malaysia | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 2.23 million 1000 SLC | 11,874 1000 SLC | 2.22 million 1000 SLC | Malaysia |
| 2000s | 3.83 million 1000 SLC | 41.53 million 1000 SLC | 37.70 million 1000 SLC | Zimbabwe |
| 2010s | 3.99 million 1000 SLC | 507,235 1000 SLC | 3.48 million 1000 SLC | Malaysia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher non food — gross production value, Malaysia or Zimbabwe?
- Malaysia, at 841,195 1000 SLC against 700,526 1000 SLC in Zimbabwe as of 2024.
- What is the difference in non food — gross production value between Malaysia and Zimbabwe?
- 140,669 1000 SLC, with Malaysia ahead.
- How many years of comparable data are there for Malaysia and Zimbabwe?
- 22 years are reported by both, from 1991 to 2018.
- How do Malaysia and Zimbabwe rank globally for non food — gross production value?
- Malaysia ranks 55th and Zimbabwe ranks 56th of 120 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Non Food — 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.