Malaysia vs Zimbabwe: Milk, Total — Gross Production Value
Malaysia
141,381 1000 SLC
in 2024
Zimbabwe
189,000 1000 SLC
in 2014
Malaysia rank
129th
Zimbabwe rank
127th
Milk, Total — Gross Production Value over time
- Malaysia
- Zimbabwe
How they compare
Zimbabwe currently reports 189,000 1000 SLC against 141,381 1000 SLC in Malaysia, a difference of 47,619 1000 SLC.
That makes Zimbabwe's figure about 1.3 times Malaysia's.
The two have swapped places 1 time across 18 shared years of data; in 1991 it was Malaysia ahead.
Malaysia ranks 129th and Zimbabwe ranks 127th of 153 countries.
Across the 3 decades both report, Malaysia averaged higher in 1 and Zimbabwe in 2.
Head to head by decade
| Decade | Malaysia | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 48,544 1000 SLC | 2,816 1000 SLC | 45,728 1000 SLC | Malaysia |
| 2000s | 69,040 1000 SLC | 11.20 million 1000 SLC | 11.13 million 1000 SLC | Zimbabwe |
| 2010s | 173,318 1000 SLC | 189,000 1000 SLC | 15,682 1000 SLC | Zimbabwe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher milk, total — gross production value, Malaysia or Zimbabwe?
- Zimbabwe, at 189,000 1000 SLC against 141,381 1000 SLC in Malaysia as of 2014.
- What is the difference in milk, total — gross production value between Malaysia and Zimbabwe?
- 47,619 1000 SLC, with Zimbabwe ahead.
- How many years of comparable data are there for Malaysia and Zimbabwe?
- 18 years are reported by both, from 1991 to 2014.
- How do Malaysia and Zimbabwe rank globally for milk, total — gross production value?
- Malaysia ranks 129th and Zimbabwe ranks 127th of 153 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Milk, Total — 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.