Azerbaijan vs Peru: Watermelons — Gross Production Value
Azerbaijan
79,082 1000 SLC
in 2024
Peru
138,858 1000 SLC
in 2024
Azerbaijan rank
57th
Peru rank
54th
Watermelons — Gross Production Value over time
- Azerbaijan
- Peru
How they compare
Peru currently reports 138,858 1000 SLC against 79,082 1000 SLC in Azerbaijan, a difference of 59,776 1000 SLC.
That makes Peru's figure about 1.8 times Azerbaijan's.
The two have swapped places 6 times across 31 shared years of data; in 1994 it was Peru ahead.
Azerbaijan ranks 57th and Peru ranks 54th of 91 countries.
Across the 4 decades both report, Azerbaijan averaged higher in 1 and Peru in 3.
Head to head by decade
| Decade | Azerbaijan | Peru | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 3,035 1000 SLC | 22,885 1000 SLC | 19,850 1000 SLC | Peru |
| 2000s | 31,214 1000 SLC | 25,020 1000 SLC | 6,194 1000 SLC | Azerbaijan |
| 2010s | 56,575 1000 SLC | 57,208 1000 SLC | 633 1000 SLC | Peru |
| 2020s | 80,713 1000 SLC | 104,002 1000 SLC | 23,289 1000 SLC | Peru |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production value, Azerbaijan or Peru?
- Peru, at 138,858 1000 SLC against 79,082 1000 SLC in Azerbaijan as of 2024.
- What is the difference in watermelons — gross production value between Azerbaijan and Peru?
- 59,776 1000 SLC, with Peru ahead.
- How many years of comparable data are there for Azerbaijan and Peru?
- 31 years are reported by both, from 1994 to 2024.
- How do Azerbaijan and Peru rank globally for watermelons — gross production value?
- Azerbaijan ranks 57th and Peru ranks 54th of 91 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Watermelons — 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.