Bangladesh vs Lithuania: Tomatoes — Yield
Tomatoes — Yield over time
- Bangladesh
- Lithuania
How they compare
Lithuania currently reports 16,277 kg/ha against 15,798 kg/ha in Bangladesh, a difference of 479 kg/ha.
The two have swapped places 9 times across 33 shared years of data; in 1992 it was Bangladesh ahead.
Bangladesh ranks 149th and Lithuania ranks 147th of 217 countries.
Across the 4 decades both report, Bangladesh averaged higher in 2 and Lithuania in 2.
Head to head by decade
| Decade | Bangladesh | Lithuania | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 7,286 kg/ha | 6,881 kg/ha | 405.8 kg/ha | Bangladesh |
| 2000s | 6,909 kg/ha | 6,288 kg/ha | 620.51 kg/ha | Bangladesh |
| 2010s | 11,862 kg/ha | 20,019 kg/ha | 8,157 kg/ha | Lithuania |
| 2020s | 15,111 kg/ha | 18,960 kg/ha | 3,848 kg/ha | Lithuania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher tomatoes — yield, Bangladesh or Lithuania?
- Lithuania, at 16,277 kg/ha against 15,798 kg/ha in Bangladesh as of 2024.
- What is the difference in tomatoes — yield between Bangladesh and Lithuania?
- 479 kg/ha, with Lithuania ahead.
- How many years of comparable data are there for Bangladesh and Lithuania?
- 33 years are reported by both, from 1992 to 2024.
- How do Bangladesh and Lithuania rank globally for tomatoes — yield?
- Bangladesh ranks 149th and Lithuania ranks 147th of 217 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Tomatoes — Yield. 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.