Czechia vs Peru: Pineapples — Terms of trade

Czechia
205.67 %
in 2024
Peru
226.67 %
in 2024
Czechia rank
15th
Peru rank
14th

Pineapples — Terms of trade over time

  • Czechia
  • Peru
01.0k2.0k3.0k201020172024

How they compare

Peru currently reports 226.67 % against 205.67 % in Czechia, a difference of 21 %.

That makes Peru's figure about 1.1 times Czechia's.

The two have swapped places 6 times across 15 shared years of data; in 2010 it was Peru ahead.

Czechia ranks 15th and Peru ranks 14th of 76 countries.

Peru has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Czechia Peru Difference Ahead
2010s 96.03 % 1,171 % 1,075 % Peru
2020s 136.96 % 194.08 % 57.12 % Peru

Averages of every year both report within each decade.

Frequently asked questions

Which has higher pineapples — terms of trade, Czechia or Peru?
Peru, at 226.67 % against 205.67 % in Czechia as of 2024.
What is the difference in pineapples — terms of trade between Czechia and Peru?
21 %, with Peru ahead.
How many years of comparable data are there for Czechia and Peru?
15 years are reported by both, from 2010 to 2024.
How do Czechia and Peru rank globally for pineapples — terms of trade?
Czechia ranks 15th and Peru ranks 14th of 76 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Pineapples — Terms of trade. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Czechia vs Peru: Pineapples — Terms of trade. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 23 August 2026, from https://agriculture.statizoid.com/compare/pineapples-terms-of-trade/czechia/peru/

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About this data

Indicator
Pineapples — Terms of trade
Unit
%
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
81 places, 1,133 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