Ghana vs Rwanda: Millet — Gross Production Value
Ghana
1.40 million 1000 SLC
in 2024
Rwanda
902,511 1000 SLC
in 2024
Ghana rank
28th
Rwanda rank
31st
Millet — Gross Production Value over time
- Ghana
- Rwanda
How they compare
Ghana currently reports 1.40 million 1000 SLC against 902,511 1000 SLC in Rwanda, a difference of 496,289 1000 SLC.
That makes Ghana's figure about 1.5 times Rwanda's.
The two have swapped places 1 time across 34 shared years of data; in 1991 it was Rwanda ahead.
Ghana ranks 28th and Rwanda ranks 31st of 65 countries.
Rwanda has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Ghana | Rwanda | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 6,904 1000 SLC | 143,614 1000 SLC | 136,710 1000 SLC | Rwanda |
| 2000s | 68,769 1000 SLC | 649,793 1000 SLC | 581,024 1000 SLC | Rwanda |
| 2010s | 249,710 1000 SLC | 1.52 million 1000 SLC | 1.27 million 1000 SLC | Rwanda |
| 2020s | 999,190 1000 SLC | 1.52 million 1000 SLC | 516,973 1000 SLC | Rwanda |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher millet — gross production value, Ghana or Rwanda?
- Ghana, at 1.40 million 1000 SLC against 902,511 1000 SLC in Rwanda as of 2024.
- What is the difference in millet — gross production value between Ghana and Rwanda?
- 496,289 1000 SLC, with Ghana ahead.
- How many years of comparable data are there for Ghana and Rwanda?
- 34 years are reported by both, from 1991 to 2024.
- How do Ghana and Rwanda rank globally for millet — gross production value?
- Ghana ranks 28th and Rwanda ranks 31st of 65 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Millet — Gross Production Value (current thousand SLC). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The domain provides detailed data on the value of agricultural production that is calculated by the agricultural production data and the price data at farm gate. Thus, the value of production measures the agricultural production in monetary terms at the farm gate level.