Lithuania vs Sudan (former): Beans, dry β Gross Production Value
Lithuania
39,175 1000 SLC
in 2017
Sudan (former)
28,331 1000 SLC
in 2011
Lithuania rank
67th
Sudan (former) rank
69th
Beans, dry β Gross Production Value over time
- Lithuania
- Sudan (former)
How they compare
Lithuania currently reports 39,175 1000 SLC against 28,331 1000 SLC in Sudan (former), a difference of 10,844 1000 SLC.
That makes Lithuania's figure about 1.4 times Sudan (former)'s.
Across all 19 years both countries report, Sudan (former) has been ahead every year.
Lithuania ranks 67th and Sudan (former) ranks 69th of 98 countries.
Sudan (former) has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Lithuania | Sudan (former) | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 282.57 1000 SLC | 14,680 1000 SLC | 14,398 1000 SLC | Sudan (former) |
| 2000s | 448.4 1000 SLC | 55,401 1000 SLC | 54,952 1000 SLC | Sudan (former) |
| 2010s | 1,110 1000 SLC | 32,962 1000 SLC | 31,852 1000 SLC | Sudan (former) |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher beans, dry β gross production value, Lithuania or Sudan (former)?
- Lithuania, at 39,175 1000 SLC against 28,331 1000 SLC in Sudan (former) as of 2017.
- What is the difference in beans, dry β gross production value between Lithuania and Sudan (former)?
- 10,844 1000 SLC, with Lithuania ahead.
- How many years of comparable data are there for Lithuania and Sudan (former)?
- 19 years are reported by both, from 1993 to 2011.
- How do Lithuania and Sudan (former) rank globally for beans, dry β gross production value?
- Lithuania ranks 67th and Sudan (former) ranks 69th of 98 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Beans, dry β 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.