Côte d'Ivoire vs Peru: Pineapples — Terms of trade
Pineapples — Terms of trade over time
- Côte d'Ivoire
- Peru
How they compare
Côte d'Ivoire currently reports 259.28 % against 226.67 % in Peru, a difference of 32.61 %.
That makes Côte d'Ivoire's figure about 1.1 times Peru's.
The two have swapped places 3 times across 14 shared years of data; in 2011 it was Peru ahead.
Côte d'Ivoire ranks 1st and Peru ranks 14th of 2 groups.
Across the 2 decades both report, Côte d'Ivoire averaged higher in 1 and Peru in 1.
Head to head by decade
| Decade | Côte d'Ivoire | Peru | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 172.02 % | 1,176 % | 1,004 % | Peru |
| 2020s | 890.5 % | 194.08 % | 696.42 % | Côte d'Ivoire |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher pineapples — terms of trade, Côte d'Ivoire or Peru?
- Côte d'Ivoire, at 259.28 % against 226.67 % in Peru as of 2024.
- What is the difference in pineapples — terms of trade between Côte d'Ivoire and Peru?
- 32.61 %, with Côte d'Ivoire ahead.
- How many years of comparable data are there for Côte d'Ivoire and Peru?
- 14 years are reported by both, from 2011 to 2024.
- How do Côte d'Ivoire and Peru rank globally for pineapples — terms of trade?
- Côte d'Ivoire ranks 1st and Peru ranks 14th of 2 groups.
- 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.
Individual pages
About this data
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