Belarus, Republic of vs Denmark: Triticale β Gross Production Value
Triticale β Gross Production Value over time
- Belarus, Republic of
- Denmark
How they compare
Belarus, Republic of currently reports 181,081 1000 SLC against 63,424 1000 SLC in Denmark, a difference of 117,657 1000 SLC.
That makes Belarus, Republic of's figure about 2.9 times Denmark's.
The two have swapped places 1 time across 21 shared years of data; in 1997 it was Denmark ahead.
Belarus, Republic of ranks 10th and Denmark ranks 11th of 36 countries.
Across the 3 decades both report, Belarus, Republic of averaged higher in 2 and Denmark in 1.
Head to head by decade
| Decade | Belarus, Republic of | Denmark | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 34,722 1000 SLC | 161,940 1000 SLC | 127,218 1000 SLC | Denmark |
| 2000s | 193,873 1000 SLC | 179,500 1000 SLC | 14,374 1000 SLC | Belarus, Republic of |
| 2010s | 295,461 1000 SLC | 104,680 1000 SLC | 190,781 1000 SLC | Belarus, Republic of |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher triticale β gross production value, Belarus, Republic of or Denmark?
- Belarus, Republic of, at 181,081 1000 SLC against 63,424 1000 SLC in Denmark as of 2024.
- What is the difference in triticale β gross production value between Belarus, Republic of and Denmark?
- 117,657 1000 SLC, with Belarus, Republic of ahead.
- How many years of comparable data are there for Belarus, Republic of and Denmark?
- 21 years are reported by both, from 1997 to 2017.
- How do Belarus, Republic of and Denmark rank globally for triticale β gross production value?
- Belarus, Republic of ranks 10th and Denmark ranks 11th of 36 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Triticale β Gross Production Value (constant 2014-2016 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.