Lithuania vs Peru: Apples — Import dependency ratio

Lithuania
0.31
in 2024
Peru
0.25
in 2024
Lithuania rank
29th
Peru rank
32nd

Apples — Import dependency ratio over time

  • Lithuania
  • Peru
-0.75-0.5-0.2500.250.5201020172024

How they compare

Lithuania currently reports 0.31 against 0.25 in Peru, a difference of 0.06.

That makes Lithuania's figure about 1.2 times Peru's.

The two have swapped places 1 time across 14 shared years of data; in 2010 it was Peru ahead.

Lithuania ranks 29th and Peru ranks 32nd of 82 countries.

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

Head to head by decade

Decade Lithuania Peru Difference Ahead
2010s -0.003 0.24 0.243 Peru
2020s 0.375 0.2425 0.1325 Lithuania

Averages of every year both report within each decade.

Frequently asked questions

Which has higher apples — import dependency ratio, Lithuania or Peru?
Lithuania, at 0.31 against 0.25 in Peru as of 2024.
What is the difference in apples — import dependency ratio between Lithuania and Peru?
0.06, with Lithuania ahead.
How many years of comparable data are there for Lithuania and Peru?
14 years are reported by both, from 2010 to 2024.
How do Lithuania and Peru rank globally for apples — import dependency ratio?
Lithuania ranks 29th and Peru ranks 32nd of 82 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Apples — Import dependency ratio. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

About this data

Indicator
Apples — Import dependency ratio
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
84 places, 1,103 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