Eastern Africa vs Malawi: Millet — Gross Production Index Number
Eastern Africa
100.66
in 2024
Malawi
157.98
in 2024
Eastern Africa rank
13th
Malawi rank
10th
Millet — Gross Production Index Number over time
- Eastern Africa
- Malawi
How they compare
Malawi currently reports 157.98 against 100.66 in Eastern Africa, a difference of 57.32.
That makes Malawi's figure about 1.6 times Eastern Africa's.
The two have swapped places 9 times across 42 shared years of data; in 1978 it was Eastern Africa ahead.
Eastern Africa ranks 13th and Malawi ranks 10th of 26 groups.
Across the 6 decades both report, Eastern Africa averaged higher in 4 and Malawi in 2.
Head to head by decade
| Decade | Eastern Africa | Malawi | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 82.41 | 22.05 | 60.36 | Eastern Africa |
| 1980s | 67.67 | 26.69 | 40.97 | Eastern Africa |
| 1990s | 69.9 | 54.6 | 15.3 | Eastern Africa |
| 2000s | 75.97 | 74.6 | 1.37 | Eastern Africa |
| 2010s | 94.55 | 106.36 | 11.81 | Malawi |
| 2020s | 101.84 | 146.22 | 44.38 | Malawi |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher millet — gross production index number, Eastern Africa or Malawi?
- Malawi, at 157.98 against 100.66 in Eastern Africa as of 2024.
- What is the difference in millet — gross production index number between Eastern Africa and Malawi?
- 57.32, with Malawi ahead.
- How many years of comparable data are there for Eastern Africa and Malawi?
- 42 years are reported by both, from 1978 to 2024.
- How do Eastern Africa and Malawi rank globally for millet — gross production index number?
- Eastern Africa ranks 13th and Malawi ranks 10th of 26 groups.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Millet — Gross 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.