Liberia vs Lithuania: Chickens — Stocks
Chickens — Stocks over time
- Liberia
- Lithuania
How they compare
Lithuania currently reports 10,476 1000 An against 8,370 1000 An in Liberia, a difference of 2,106 1000 An.
That makes Lithuania's figure about 1.3 times Liberia's.
The two have swapped places 2 times across 33 shared years of data; in 1992 it was Lithuania ahead.
Liberia ranks 158th and Lithuania ranks 155th of 252 countries.
Lithuania has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Liberia | Lithuania | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 3,500 1000 An | 8,943 1000 An | 5,443 1000 An | Lithuania |
| 2000s | 5,217 1000 An | 7,785 1000 An | 2,568 1000 An | Lithuania |
| 2010s | 7,579 1000 An | 9,624 1000 An | 2,044 1000 An | Lithuania |
| 2020s | 8,292 1000 An | 9,416 1000 An | 1,123 1000 An | Lithuania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher chickens — stocks, Liberia or Lithuania?
- Lithuania, at 10,476 1000 An against 8,370 1000 An in Liberia as of 2024.
- What is the difference in chickens — stocks between Liberia and Lithuania?
- 2,106 1000 An, with Lithuania ahead.
- How many years of comparable data are there for Liberia and Lithuania?
- 33 years are reported by both, from 1992 to 2024.
- How do Liberia and Lithuania rank globally for chickens — stocks?
- Liberia ranks 158th and Lithuania ranks 155th of 252 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Chickens — Stocks. 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.