Brunei Darussalam vs Zimbabwe: Livestock — Gross Production Value
Livestock — Gross Production Value over time
- Brunei Darussalam
- Zimbabwe
How they compare
Zimbabwe currently reports 189,000 1000 SLC against 176,784 1000 SLC in Brunei Darussalam, a difference of 12,216 1000 SLC.
That makes Zimbabwe's figure about 1.1 times Brunei Darussalam's.
The two have swapped places 3 times across 18 shared years of data; in 1991 it was Brunei Darussalam ahead.
Brunei Darussalam ranks 143rd and Zimbabwe ranks 141st of 162 countries.
Across the 3 decades both report, Brunei Darussalam averaged higher in 1 and Zimbabwe in 2.
Head to head by decade
| Decade | Brunei Darussalam | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 38,271 1000 SLC | 35,415 1000 SLC | 2,855 1000 SLC | Brunei Darussalam |
| 2000s | 74,836 1000 SLC | 387.68 million 1000 SLC | 387.60 million 1000 SLC | Zimbabwe |
| 2010s | 158,152 1000 SLC | 189,000 1000 SLC | 30,848 1000 SLC | Zimbabwe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher livestock — gross production value, Brunei Darussalam or Zimbabwe?
- Zimbabwe, at 189,000 1000 SLC against 176,784 1000 SLC in Brunei Darussalam as of 2014.
- What is the difference in livestock — gross production value between Brunei Darussalam and Zimbabwe?
- 12,216 1000 SLC, with Zimbabwe ahead.
- How many years of comparable data are there for Brunei Darussalam and Zimbabwe?
- 18 years are reported by both, from 1991 to 2014.
- How do Brunei Darussalam and Zimbabwe rank globally for livestock — gross production value?
- Brunei Darussalam ranks 143rd 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.