Cameroon vs Hungary: Livestock — Gross Production Value
Livestock — Gross Production Value over time
- Cameroon
- Hungary
How they compare
Hungary currently reports 962.87 million 1000 SLC against 887.91 million 1000 SLC in Cameroon, a difference of 74.96 million 1000 SLC.
That makes Hungary's figure about 1.1 times Cameroon's.
The two have swapped places 8 times across 34 shared years of data; in 1991 it was Hungary ahead.
Cameroon ranks 27th and Hungary ranks 25th of 162 countries.
Across the 4 decades both report, Cameroon averaged higher in 1 and Hungary in 3.
Head to head by decade
| Decade | Cameroon | Hungary | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 229.32 million 1000 SLC | 306.87 million 1000 SLC | 77.54 million 1000 SLC | Hungary |
| 2000s | 383.16 million 1000 SLC | 519.96 million 1000 SLC | 136.80 million 1000 SLC | Hungary |
| 2010s | 656.91 million 1000 SLC | 634.39 million 1000 SLC | 22.52 million 1000 SLC | Cameroon |
| 2020s | 817.97 million 1000 SLC | 862.18 million 1000 SLC | 44.21 million 1000 SLC | Hungary |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher livestock — gross production value, Cameroon or Hungary?
- Hungary, at 962.87 million 1000 SLC against 887.91 million 1000 SLC in Cameroon as of 2024.
- What is the difference in livestock — gross production value between Cameroon and Hungary?
- 74.96 million 1000 SLC, with Hungary ahead.
- How many years of comparable data are there for Cameroon and Hungary?
- 34 years are reported by both, from 1991 to 2024.
- How do Cameroon and Hungary rank globally for livestock — gross production value?
- Cameroon ranks 27th and Hungary ranks 25th 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.