Argentina vs Malawi: Millet — Gross per capita Production Index Number
Argentina
133.84
in 2024
Malawi
123.79
in 2024
Argentina rank
12th
Malawi rank
13th
Millet — Gross per capita Production Index Number over time
- Argentina
- Malawi
How they compare
Argentina currently reports 133.84 against 123.79 in Malawi, a difference of 10.05.
That makes Argentina's figure about 1.1 times Malawi's.
The two have swapped places 4 times across 42 shared years of data; in 1978 it was Argentina ahead.
Argentina ranks 12th and Malawi ranks 13th of 78 countries.
Argentina has averaged higher in every one of the 6 decades both report.
Head to head by decade
| Decade | Argentina | Malawi | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 10,797 | 63.24 | 10,733 | Argentina |
| 1980s | 4,207 | 59.27 | 4,148 | Argentina |
| 1990s | 1,301 | 87.91 | 1,213 | Argentina |
| 2000s | 497.81 | 98.72 | 399.08 | Argentina |
| 2010s | 154.62 | 107.11 | 47.51 | Argentina |
| 2020s | 165.7 | 120.59 | 45.11 | Argentina |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher millet — gross per capita production index number, Argentina or Malawi?
- Argentina, at 133.84 against 123.79 in Malawi as of 2024.
- What is the difference in millet — gross per capita production index number between Argentina and Malawi?
- 10.05, with Argentina ahead.
- How many years of comparable data are there for Argentina and Malawi?
- 42 years are reported by both, from 1978 to 2024.
- How do Argentina and Malawi rank globally for millet — gross per capita production index number?
- Argentina ranks 12th and Malawi ranks 13th of 78 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Millet — 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.