Eswatini vs Luxembourg: Maize (corn) — Import dependency ratio

Eswatini
0.69
in 2024
Luxembourg
0.66
in 2024
Eswatini rank
47th
Luxembourg rank
49th

Maize (corn) — Import dependency ratio over time

  • Eswatini
  • Luxembourg
-50510201020172024

How they compare

Eswatini currently reports 0.69 against 0.66 in Luxembourg, a difference of 0.03.

The two have swapped places 3 times across 10 shared years of data; in 2015 it was Luxembourg ahead.

Eswatini ranks 47th and Luxembourg ranks 49th of 129 countries.

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

Head to head by decade

Decade Eswatini Luxembourg Difference Ahead
2010s 0.606 1.72 1.12 Luxembourg
2020s 0.638 0.784 0.146 Luxembourg

Averages of every year both report within each decade.

Frequently asked questions

Which has higher maize (corn) — import dependency ratio, Eswatini or Luxembourg?
Eswatini, at 0.69 against 0.66 in Luxembourg as of 2024.
What is the difference in maize (corn) — import dependency ratio between Eswatini and Luxembourg?
0.03, with Eswatini ahead.
How many years of comparable data are there for Eswatini and Luxembourg?
10 years are reported by both, from 2015 to 2024.
How do Eswatini and Luxembourg rank globally for maize (corn) — import dependency ratio?
Eswatini ranks 47th and Luxembourg ranks 49th of 129 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Maize (corn) — Import dependency ratio. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

About this data

Indicator
Maize (corn) — Import dependency 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