Fiji vs Lithuania: Roots and Tubers, Total — Area harvested
Roots and Tubers, Total — Area harvested over time
- Fiji
- Lithuania
How they compare
Lithuania currently reports 14,670 ha against 13,279 ha in Fiji, a difference of 1,391 ha.
That makes Lithuania's figure about 1.1 times Fiji's.
Across all 33 years both countries report, Lithuania has been ahead every year.
Fiji ranks 160th and Lithuania ranks 157th of 251 countries.
Lithuania has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Fiji | Lithuania | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 7,570 ha | 122,550 ha | 114,980 ha | Lithuania |
| 2000s | 13,299 ha | 76,345 ha | 63,046 ha | Lithuania |
| 2010s | 11,360 ha | 26,437 ha | 15,077 ha | Lithuania |
| 2020s | 12,035 ha | 15,756 ha | 3,721 ha | Lithuania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher roots and tubers, total — area harvested, Fiji or Lithuania?
- Lithuania, at 14,670 ha against 13,279 ha in Fiji as of 2024.
- What is the difference in roots and tubers, total — area harvested between Fiji and Lithuania?
- 1,391 ha, with Lithuania ahead.
- How many years of comparable data are there for Fiji and Lithuania?
- 33 years are reported by both, from 1992 to 2024.
- How do Fiji and Lithuania rank globally for roots and tubers, total — area harvested?
- Fiji ranks 160th and Lithuania ranks 157th of 251 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Roots and Tubers, Total — Area harvested. 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.