Lithuania vs Peru: Cereals, primary — Production
Cereals, primary — Production over time
- Lithuania
- Peru
How they compare
Peru currently reports 5.92 million t against 5.71 million t in Lithuania, a difference of 215,700 t.
The two have swapped places 9 times across 33 shared years of data; in 1992 it was Lithuania ahead.
Lithuania ranks 66th and Peru ranks 64th of 234 countries.
Across the 4 decades both report, Lithuania averaged higher in 1 and Peru in 3.
Head to head by decade
| Decade | Lithuania | Peru | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 2.41 million t | 2.43 million t | 22,199 t | Peru |
| 2000s | 2.80 million t | 4.05 million t | 1.25 million t | Peru |
| 2010s | 4.58 million t | 5.18 million t | 597,249 t | Peru |
| 2020s | 5.77 million t | 5.62 million t | 151,840 t | Lithuania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher cereals, primary — production, Lithuania or Peru?
- Peru, at 5.92 million t against 5.71 million t in Lithuania as of 2024.
- What is the difference in cereals, primary — production between Lithuania and Peru?
- 215,700 t, with Peru ahead.
- How many years of comparable data are there for Lithuania and Peru?
- 33 years are reported by both, from 1992 to 2024.
- How do Lithuania and Peru rank globally for cereals, primary — production?
- Lithuania ranks 66th and Peru ranks 64th of 234 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Cereals, primary — Production. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
This dataset provides annual statistics on crop and livestock production across countries and territories. For crops, data are provided on area harvested, production quantities and yields. For livestock, data are provided on animal stocks, numbers of producing and slaughtered animals, and the production of meat, milk, eggs and other livestock products. The dataset also includes information on production quantities for selected processed products, such as vegetable oils, sugar, fibres, beer, wine and major dairy products.