Austria vs Philippines: Maize (corn) β€” Self-sufficiency ratio

Austria
0.78
in 2024
Philippines
0.81
in 2024
Austria rank
54th
Philippines rank
52nd

Maize (corn) β€” Self-sufficiency ratio over time

  • Austria
  • Philippines
00.20.40.60.81201020172024

How they compare

Philippines currently reports 0.81 against 0.78 in Austria, a difference of 0.03.

Across all 15 years both countries report, Philippines has been ahead every year.

Austria ranks 54th and Philippines ranks 52nd of 129 countries.

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

Head to head by decade

Decade Austria Philippines Difference Ahead
2010s 0.806 0.948 0.142 Philippines
2020s 0.824 0.904 0.08 Philippines

Averages of every year both report within each decade.

Frequently asked questions

Which has higher maize (corn) β€” self-sufficiency ratio, Austria or Philippines?
Philippines, at 0.81 against 0.78 in Austria as of 2024.
What is the difference in maize (corn) β€” self-sufficiency ratio between Austria and Philippines?
0.03, with Philippines ahead.
How many years of comparable data are there for Austria and Philippines?
15 years are reported by both, from 2010 to 2024.
How do Austria and Philippines rank globally for maize (corn) β€” self-sufficiency ratio?
Austria ranks 54th and Philippines ranks 52nd of 129 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Maize (corn) β€” 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) β€” 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