Bangladesh vs Chile: Linseed — Gross Production Value
Bangladesh
210,235 1000 SLC
in 2024
Chile
305,770 1000 SLC
in 2024
Bangladesh rank
12th
Chile rank
9th
Linseed — Gross Production Value over time
- Bangladesh
- Chile
How they compare
Chile currently reports 305,770 1000 SLC against 210,235 1000 SLC in Bangladesh, a difference of 95,535 1000 SLC.
That makes Chile's figure about 1.5 times Bangladesh's.
The two have swapped places 5 times across 34 shared years of data; in 1991 it was Bangladesh ahead.
Bangladesh ranks 12th and Chile ranks 9th of 47 countries.
Across the 4 decades both report, Bangladesh averaged higher in 2 and Chile in 2.
Head to head by decade
| Decade | Bangladesh | Chile | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 707,277 1000 SLC | 103,386 1000 SLC | 603,891 1000 SLC | Bangladesh |
| 2000s | 101,224 1000 SLC | 146,588 1000 SLC | 45,363 1000 SLC | Chile |
| 2010s | 255,053 1000 SLC | 243,511 1000 SLC | 11,542 1000 SLC | Bangladesh |
| 2020s | 207,176 1000 SLC | 299,798 1000 SLC | 92,622 1000 SLC | Chile |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher linseed — gross production value, Bangladesh or Chile?
- Chile, at 305,770 1000 SLC against 210,235 1000 SLC in Bangladesh as of 2024.
- What is the difference in linseed — gross production value between Bangladesh and Chile?
- 95,535 1000 SLC, with Chile ahead.
- How many years of comparable data are there for Bangladesh and Chile?
- 34 years are reported by both, from 1991 to 2024.
- How do Bangladesh and Chile rank globally for linseed — gross production value?
- Bangladesh ranks 12th and Chile ranks 9th of 47 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Linseed — 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.