Armenia vs Niger: Beans, dry — Gross Production Value
Armenia
2.40 million 1000 SLC
in 2024
Niger
3.01 million 1000 SLC
in 2024
Armenia rank
40th
Niger rank
38th
Beans, dry — Gross Production Value over time
- Armenia
- Niger
How they compare
Niger currently reports 3.01 million 1000 SLC against 2.40 million 1000 SLC in Armenia, a difference of 614,180 1000 SLC.
That makes Niger's figure about 1.3 times Armenia's.
The two have swapped places 7 times across 28 shared years of data; in 1997 it was Armenia ahead.
Armenia ranks 40th and Niger ranks 38th of 98 countries.
Across the 4 decades both report, Armenia averaged higher in 3 and Niger in 1.
Head to head by decade
| Decade | Armenia | Niger | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 948,435 1000 SLC | 551,778 1000 SLC | 396,657 1000 SLC | Armenia |
| 2000s | 2.22 million 1000 SLC | 1.72 million 1000 SLC | 506,186 1000 SLC | Armenia |
| 2010s | 4.65 million 1000 SLC | 4.49 million 1000 SLC | 154,682 1000 SLC | Armenia |
| 2020s | 3.01 million 1000 SLC | 3.46 million 1000 SLC | 453,592 1000 SLC | Niger |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher beans, dry — gross production value, Armenia or Niger?
- Niger, at 3.01 million 1000 SLC against 2.40 million 1000 SLC in Armenia as of 2024.
- What is the difference in beans, dry — gross production value between Armenia and Niger?
- 614,180 1000 SLC, with Niger ahead.
- How many years of comparable data are there for Armenia and Niger?
- 28 years are reported by both, from 1997 to 2024.
- How do Armenia and Niger rank globally for beans, dry — gross production value?
- Armenia ranks 40th and Niger ranks 38th of 98 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Beans, dry — 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.