Lithuania vs Uruguay: Soya beans — Self-sufficiency ratio

Lithuania
-7.7
in 2024
Uruguay
-6.95
in 2023
Lithuania rank
92nd
Uruguay rank
91st

Soya beans — Self-sufficiency ratio over time

  • Lithuania
  • Uruguay
-1.5k-1.0k-5000201020172024

How they compare

Uruguay currently reports -6.95 against -7.7 in Lithuania, a difference of 0.75.

The two have swapped places 2 times across 6 shared years of data; in 2018 it was Lithuania ahead.

Lithuania ranks 92nd and Uruguay ranks 91st of 92 countries.

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

Head to head by decade

Decade Lithuania Uruguay Difference Ahead
2010s 1.4 -139.5 140.9 Lithuania
2020s 1.27 15.17 13.9 Uruguay

Averages of every year both report within each decade.

Frequently asked questions

Which has higher soya beans — self-sufficiency ratio, Lithuania or Uruguay?
Uruguay, at -6.95 against -7.7 in Lithuania as of 2023.
What is the difference in soya beans — self-sufficiency ratio between Lithuania and Uruguay?
0.75, with Uruguay ahead.
How many years of comparable data are there for Lithuania and Uruguay?
6 years are reported by both, from 2018 to 2023.
How do Lithuania and Uruguay rank globally for soya beans — self-sufficiency ratio?
Lithuania ranks 92nd and Uruguay ranks 91st of 92 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Soya beans — Self-sufficiency ratio. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

About this data

Indicator
Soya beans — Self-sufficiency ratio
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
94 places, 1,175 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