Lithuania vs Paraguay: Bananas — Import dependency ratio

Lithuania
1
in 2024
Paraguay
7.75
in 2024
Lithuania rank
4th
Paraguay rank
2nd

Bananas — Import dependency ratio over time

  • Lithuania
  • Paraguay
-2.502.557.5201020172024

How they compare

Paraguay currently reports 7.75 against 1 in Lithuania, a difference of 6.75.

That makes Paraguay's figure about 7.8 times Lithuania's.

The two have swapped places 1 time across 7 shared years of data; in 2018 it was Lithuania ahead.

Lithuania ranks 4th and Paraguay ranks 2nd of 98 countries.

Across the 2 decades both report, Lithuania averaged higher in 1 and Paraguay in 1.

Head to head by decade

Decade Lithuania Paraguay Difference Ahead
2010s 1 -1.98 2.98 Lithuania
2020s 1 2.07 1.07 Paraguay

Averages of every year both report within each decade.

Frequently asked questions

Which has higher bananas — import dependency ratio, Lithuania or Paraguay?
Paraguay, at 7.75 against 1 in Lithuania as of 2024.
What is the difference in bananas — import dependency ratio between Lithuania and Paraguay?
6.75, with Paraguay ahead.
How many years of comparable data are there for Lithuania and Paraguay?
7 years are reported by both, from 2018 to 2024.
How do Lithuania and Paraguay rank globally for bananas — import dependency ratio?
Lithuania ranks 4th and Paraguay ranks 2nd of 98 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Bananas — Import dependency ratio. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

About this data

Indicator
Bananas — Import dependency ratio
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
100 places, 1,024 data points, 2010–2024
Last refreshed

The food and agricultural trade indicators dataset is based on trade, production and gross domestic product (GDP) data. Agri-food trade data are collected, processed and disseminated by FAO according to the standard International Merchandise Trade Statistics (IMTS) Methodology. The data is mainly provided by UNSD, Eurostat, and other national authorities as needed. The source data is checked for outliers, trade partner data is used for non-reporting countries or missing cells, and data on food aid is added to take total cross-border trade flows into account. The trade database includes the following variables: export quantity, export value, import quantity, and import value. It includes all food and agricultural products imported/exported annually by all countries in the world. Production data details are available at https://www.fao.org/faostat/en/#data/QCL and GDP data details are available at https://www.fao.org/faostat/en/#data/MK