Armenia vs Congo: Cereals n.e.c. — Gross Production Value
Armenia
1.15 million 1000 SLC
in 2024
Congo
1.39 million 1000 SLC
in 2024
Armenia rank
8th
Congo rank
7th
Cereals n.e.c. — Gross Production Value over time
- Armenia
- Congo
How they compare
Congo currently reports 1.39 million 1000 SLC against 1.15 million 1000 SLC in Armenia, a difference of 237,290 1000 SLC.
That makes Congo's figure about 1.2 times Armenia's.
The two have swapped places 8 times across 22 shared years of data; in 2003 it was Congo ahead.
Armenia ranks 8th and Congo ranks 7th of 43 countries.
Across the 3 decades both report, Armenia averaged higher in 2 and Congo in 1.
Head to head by decade
| Decade | Armenia | Congo | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 1.27 million 1000 SLC | 1.21 million 1000 SLC | 56,522 1000 SLC | Armenia |
| 2010s | 2.17 million 1000 SLC | 1.33 million 1000 SLC | 838,868 1000 SLC | Armenia |
| 2020s | 1.17 million 1000 SLC | 1.38 million 1000 SLC | 213,044 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, Armenia or Congo?
- Congo, at 1.39 million 1000 SLC against 1.15 million 1000 SLC in Armenia as of 2024.
- What is the difference in cereals n.e.c. — gross production value between Armenia and Congo?
- 237,290 1000 SLC, with Congo ahead.
- How many years of comparable data are there for Armenia and Congo?
- 22 years are reported by both, from 2003 to 2024.
- How do Armenia and Congo rank globally for cereals n.e.c. — gross production value?
- Armenia ranks 8th and Congo ranks 7th 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.