Myanmar vs Saint Lucia: Maize (corn) — Import dependency ratio

Myanmar
3.9
in 2024
Saint Lucia
1
in 2020
Myanmar rank
2nd
Saint Lucia rank
3rd

Maize (corn) — Import dependency ratio over time

  • Myanmar
  • Saint Lucia
-20-10010201020172024

How they compare

Myanmar currently reports 3.9 against 1 in Saint Lucia, a difference of 2.9.

That makes Myanmar's figure about 3.9 times Saint Lucia's.

Across all 5 years both countries report, Saint Lucia has been ahead every year.

Myanmar ranks 2nd and Saint Lucia ranks 3rd of 129 countries.

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

Head to head by decade

Decade Myanmar Saint Lucia Difference Ahead
2010s -5.67 1 6.67 Saint Lucia
2020s -1.32 1 2.32 Saint Lucia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher maize (corn) — import dependency ratio, Myanmar or Saint Lucia?
Myanmar, at 3.9 against 1 in Saint Lucia as of 2024.
What is the difference in maize (corn) — import dependency ratio between Myanmar and Saint Lucia?
2.9, with Myanmar ahead.
How many years of comparable data are there for Myanmar and Saint Lucia?
5 years are reported by both, from 2014 to 2020.
How do Myanmar and Saint Lucia rank globally for maize (corn) — import dependency ratio?
Myanmar ranks 2nd and Saint Lucia ranks 3rd 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