Luxembourg vs Peru: Maize (corn) — Self-sufficiency ratio

Luxembourg
0.34
in 2024
Peru
0.29
in 2024
Luxembourg rank
81st
Peru rank
84th

Maize (corn) — Self-sufficiency ratio over time

  • Luxembourg
  • Peru
-10-505201020172024

How they compare

Luxembourg currently reports 0.34 against 0.29 in Peru, a difference of 0.05.

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

The two have swapped places 3 times across 15 shared years of data; in 2010 it was Peru ahead.

Luxembourg ranks 81st and Peru ranks 84th of 129 countries.

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

Head to head by decade

Decade Luxembourg Peru Difference Ahead
2010s -0.239 0.385 0.624 Peru
2020s 0.216 0.3 0.084 Peru

Averages of every year both report within each decade.

Frequently asked questions

Which has higher maize (corn) — self-sufficiency ratio, Luxembourg or Peru?
Luxembourg, at 0.34 against 0.29 in Peru as of 2024.
What is the difference in maize (corn) — self-sufficiency ratio between Luxembourg and Peru?
0.05, with Luxembourg ahead.
How many years of comparable data are there for Luxembourg and Peru?
15 years are reported by both, from 2010 to 2024.
How do Luxembourg and Peru rank globally for maize (corn) — self-sufficiency ratio?
Luxembourg ranks 81st and Peru ranks 84th of 129 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Maize (corn) — Self-sufficiency ratio. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

About this data

Indicator
Maize (corn) — Self-sufficiency ratio
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
131 places, 1,673 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