Congo vs Hungary: Cereals n.e.c. — Gross Production Value
Congo
1.39 million 1000 SLC
in 2024
Hungary
1.01 million 1000 SLC
in 2017
Congo rank
7th
Hungary rank
10th
Cereals n.e.c. — Gross Production Value over time
- Congo
- Hungary
How they compare
Congo currently reports 1.39 million 1000 SLC against 1.01 million 1000 SLC in Hungary, a difference of 379,710 1000 SLC.
That makes Congo's figure about 1.4 times Hungary's.
Across all 18 years both countries report, Congo has been ahead every year.
Congo ranks 7th and Hungary ranks 10th of 43 countries.
Congo has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Congo | Hungary | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1.11 million 1000 SLC | 504,456 1000 SLC | 604,814 1000 SLC | Congo |
| 2000s | 1.21 million 1000 SLC | 115,370 1000 SLC | 1.10 million 1000 SLC | Congo |
| 2010s | 1.33 million 1000 SLC | 431,838 1000 SLC | 896,827 1000 SLC | Congo |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher cereals n.e.c. — gross production value, Congo or Hungary?
- Congo, at 1.39 million 1000 SLC against 1.01 million 1000 SLC in Hungary as of 2024.
- What is the difference in cereals n.e.c. — gross production value between Congo and Hungary?
- 379,710 1000 SLC, with Congo ahead.
- How many years of comparable data are there for Congo and Hungary?
- 18 years are reported by both, from 1993 to 2017.
- How do Congo and Hungary rank globally for cereals n.e.c. — gross production value?
- Congo ranks 7th and Hungary ranks 10th of 43 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Cereals n.e.c. — Gross Production Value (constant 2014-2016 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.