Eritrea vs Peru: Cereals, primary — Gross Production Value
Eritrea
11.34 million 1000 SLC
in 2024
Peru
12.17 million 1000 SLC
in 2024
Eritrea rank
74th
Peru rank
71st
Cereals, primary — Gross Production Value over time
- Eritrea
- Peru
How they compare
Peru currently reports 12.17 million 1000 SLC against 11.34 million 1000 SLC in Eritrea, a difference of 829,500 1000 SLC.
That makes Peru's figure about 1.1 times Eritrea's.
The two have swapped places 6 times across 32 shared years of data; in 1993 it was Peru ahead.
Eritrea ranks 74th and Peru ranks 71st of 152 countries.
Peru has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Eritrea | Peru | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 418,333 1000 SLC | 1.51 million 1000 SLC | 1.09 million 1000 SLC | Peru |
| 2000s | 1.43 million 1000 SLC | 3.17 million 1000 SLC | 1.74 million 1000 SLC | Peru |
| 2010s | 5.86 million 1000 SLC | 6.51 million 1000 SLC | 658,582 1000 SLC | Peru |
| 2020s | 8.99 million 1000 SLC | 9.90 million 1000 SLC | 911,342 1000 SLC | Peru |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher cereals, primary — gross production value, Eritrea or Peru?
- Peru, at 12.17 million 1000 SLC against 11.34 million 1000 SLC in Eritrea as of 2024.
- What is the difference in cereals, primary — gross production value between Eritrea and Peru?
- 829,500 1000 SLC, with Peru ahead.
- How many years of comparable data are there for Eritrea and Peru?
- 32 years are reported by both, from 1993 to 2024.
- How do Eritrea and Peru rank globally for cereals, primary — gross production value?
- Eritrea ranks 74th and Peru ranks 71st of 152 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Cereals, primary — 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.