Austria vs Philippines: Maize (corn) — Gross per capita Production Index Number
Austria
99.41
in 2017
Philippines
98.52
in 2024
Austria rank
67th
Philippines rank
70th
Maize (corn) — Gross per capita Production Index Number over time
- Austria
- Philippines
How they compare
Austria currently reports 99.41 against 98.52 in Philippines, a difference of 0.89.
The two have swapped places 8 times across 57 shared years of data; in 1961 it was Philippines ahead.
Austria ranks 67th and Philippines ranks 70th of 147 countries.
Across the 6 decades both report, Austria averaged higher in 2 and Philippines in 4.
Head to head by decade
| Decade | Austria | Philippines | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 17.09 | 63.45 | 46.37 | Philippines |
| 1970s | 52.81 | 83.53 | 30.72 | Philippines |
| 1980s | 86.56 | 96.2 | 9.65 | Philippines |
| 1990s | 83.47 | 90.33 | 6.86 | Philippines |
| 2000s | 100.81 | 88.67 | 12.14 | Austria |
| 2010s | 102.5 | 100.01 | 2.49 | Austria |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher maize (corn) — gross per capita production index number, Austria or Philippines?
- Austria, at 99.41 against 98.52 in Philippines as of 2017.
- What is the difference in maize (corn) — gross per capita production index number between Austria and Philippines?
- 0.89, with Austria ahead.
- How many years of comparable data are there for Austria and Philippines?
- 57 years are reported by both, from 1961 to 2017.
- How do Austria and Philippines rank globally for maize (corn) — gross per capita production index number?
- Austria ranks 67th and Philippines ranks 70th of 147 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Maize (corn) — Gross per capita Production Index Number (2014-2016 = 100). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The FAO indices of agricultural production show the relative level of the aggregate volume of agricultural production for each year in comparison with the base period 2014-2016. Indices for meat production are computed based on data on production from indigenous animals.