Niger vs Rwanda: Livestock — Gross Production Value
Niger
676.04 million 1000 SLC
in 2024
Rwanda
639.08 million 1000 SLC
in 2024
Niger rank
30th
Rwanda rank
32nd
Livestock — Gross Production Value over time
- Niger
- Rwanda
How they compare
Niger currently reports 676.04 million 1000 SLC against 639.08 million 1000 SLC in Rwanda, a difference of 36.96 million 1000 SLC.
That makes Niger's figure about 1.1 times Rwanda's.
Across all 34 years both countries report, Niger has been ahead every year.
Niger ranks 30th and Rwanda ranks 32nd of 161 countries.
Niger has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Niger | Rwanda | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 258.17 million 1000 SLC | 39.46 million 1000 SLC | 218.71 million 1000 SLC | Niger |
| 2000s | 345.61 million 1000 SLC | 96.70 million 1000 SLC | 248.91 million 1000 SLC | Niger |
| 2010s | 551.67 million 1000 SLC | 318.01 million 1000 SLC | 233.65 million 1000 SLC | Niger |
| 2020s | 631.68 million 1000 SLC | 502.22 million 1000 SLC | 129.46 million 1000 SLC | Niger |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher livestock — gross production value, Niger or Rwanda?
- Niger, at 676.04 million 1000 SLC against 639.08 million 1000 SLC in Rwanda as of 2024.
- What is the difference in livestock — gross production value between Niger and Rwanda?
- 36.96 million 1000 SLC, with Niger ahead.
- How many years of comparable data are there for Niger and Rwanda?
- 34 years are reported by both, from 1991 to 2024.
- How do Niger and Rwanda rank globally for livestock — gross production value?
- Niger ranks 30th and Rwanda ranks 32nd of 161 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Livestock — 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.