Singapore vs Zimbabwe: Livestock — Gross Production Value
Singapore
174,477 1000 SLC
in 2024
Zimbabwe
189,000 1000 SLC
in 2014
Singapore rank
144th
Zimbabwe rank
141st
Livestock — Gross Production Value over time
- Singapore
- Zimbabwe
How they compare
Zimbabwe currently reports 189,000 1000 SLC against 174,477 1000 SLC in Singapore, a difference of 14,523 1000 SLC.
That makes Zimbabwe's figure about 1.1 times Singapore's.
The two have swapped places 1 time across 18 shared years of data; in 1991 it was Singapore ahead.
Singapore ranks 144th and Zimbabwe ranks 141st of 162 countries.
Across the 3 decades both report, Singapore averaged higher in 1 and Zimbabwe in 2.
Head to head by decade
| Decade | Singapore | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 135,226 1000 SLC | 35,415 1000 SLC | 99,811 1000 SLC | Singapore |
| 2000s | 49,335 1000 SLC | 387.68 million 1000 SLC | 387.63 million 1000 SLC | Zimbabwe |
| 2010s | 73,692 1000 SLC | 189,000 1000 SLC | 115,308 1000 SLC | Zimbabwe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher livestock — gross production value, Singapore or Zimbabwe?
- Zimbabwe, at 189,000 1000 SLC against 174,477 1000 SLC in Singapore as of 2014.
- What is the difference in livestock — gross production value between Singapore and Zimbabwe?
- 14,523 1000 SLC, with Zimbabwe ahead.
- How many years of comparable data are there for Singapore and Zimbabwe?
- 18 years are reported by both, from 1991 to 2014.
- How do Singapore and Zimbabwe rank globally for livestock — gross production value?
- Singapore ranks 144th and Zimbabwe ranks 141st of 162 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Livestock — 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.