What is wild fish catch used for? in Bangladesh
Bangladesh: What is wild fish catch used for? was 359.4 tonnes in 2015. ◆ Volatile
Latest (2015)
359.4 tonnes
Change on year
up 1.1%
World rank
42nd
of 140 countries
All-time high
359.4 tonnes
in 2015
All-time low
14.1 tonnes
in 1950
Years of data
66
1950–2015
What is wild fish catch used for? in Bangladesh, 1950–2015
Source: Sea Around Us (2020) – processed by Our World in Data. Measured in tonnes.
Analysis
The most recent figure for what is wild fish catch used for? in Bangladesh is 359.4 tonnes, measured in 2015. That is the highest value across all 66 years on record.
That represents a change of up 1.1% on the previous year and up 31.8% over ten years.
Over the whole period, what is wild fish catch used for? in Bangladesh peaked at 359.4 tonnes in 2015 and was at its lowest, 14.1 tonnes, in 1950.
Bangladesh ranks 42nd of 140 countries on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
What is wild fish catch used for? in Bangladesh, year by year
| Year | tonnes | Change |
|---|---|---|
| 1950 | 14.1 tonnes | — |
| 1951 | 14.1 tonnes | +0.0% |
| 1952 | 14.1 tonnes | +0.0% |
| 1953 | 17.62 tonnes | +25.0% |
| 1954 | 21.15 tonnes | +20.0% |
| 1955 | 21.15 tonnes | +0.0% |
| 1956 | 21.15 tonnes | +0.0% |
| 1957 | 24.68 tonnes | +16.7% |
| 1958 | 24.68 tonnes | +0.0% |
| 1959 | 28.2 tonnes | +14.3% |
| 1960 | 28.2 tonnes | +0.0% |
| 1961 | 31.72 tonnes | +12.5% |
| 1962 | 35.25 tonnes | +11.1% |
| 1963 | 35.25 tonnes | -0.0% |
| 1964 | 38.77 tonnes | +10.0% |
| 1965 | 42.3 tonnes | +9.1% |
| 1966 | 42.3 tonnes | -0.0% |
| 1967 | 42.3 tonnes | +0.0% |
| 1968 | 45.83 tonnes | +8.3% |
| 1969 | 45.83 tonnes | +0.0% |
| 1970 | 51.79 tonnes | +13.0% |
| 1971 | 51.65 tonnes | -0.3% |
| 1972 | 50.09 tonnes | -3.0% |
| 1973 | 50.5 tonnes | +0.8% |
| 1974 | 50.96 tonnes | +0.9% |
| 1975 | 54.36 tonnes | +6.7% |
| 1976 | 57.15 tonnes | +5.1% |
| 1977 | 62.85 tonnes | +10.0% |
| 1978 | 67.35 tonnes | +7.2% |
| 1979 | 67.06 tonnes | -0.4% |
| 1980 | 69.12 tonnes | +3.1% |
| 1981 | 68.69 tonnes | -0.6% |
| 1982 | 73.22 tonnes | +6.6% |
| 1983 | 79.79 tonnes | +9.0% |
| 1984 | 97.55 tonnes | +22.3% |
| 1985 | 110.47 tonnes | +13.2% |
| 1986 | 124.09 tonnes | +12.3% |
| 1987 | 138.96 tonnes | +12.0% |
| 1988 | 143.82 tonnes | +3.5% |
| 1989 | 148.21 tonnes | +3.1% |
| 1990 | 144.49 tonnes | -2.5% |
| 1991 | 149.31 tonnes | +3.3% |
| 1992 | 159.78 tonnes | +7.0% |
| 1993 | 179.5 tonnes | +12.3% |
| 1994 | 143.57 tonnes | -20.0% |
| 1995 | 150.03 tonnes | +4.5% |
| 1996 | 155.66 tonnes | +3.8% |
| 1997 | 165.54 tonnes | +6.3% |
| 1998 | 171.24 tonnes | +3.4% |
| 1999 | 176.27 tonnes | +2.9% |
| 2000 | 190.15 tonnes | +7.9% |
| 2001 | 216.79 tonnes | +14.0% |
| 2002 | 237.35 tonnes | +9.5% |
| 2003 | 247.7 tonnes | +4.4% |
| 2004 | 261.3 tonnes | +5.5% |
| 2005 | 272.65 tonnes | +4.3% |
| 2006 | 278.82 tonnes | +2.3% |
| 2007 | 281.47 tonnes | +1.0% |
| 2008 | 287.44 tonnes | +2.1% |
| 2009 | 351.55 tonnes | +22.3% |
| 2010 | 353.06 tonnes | +0.4% |
| 2011 | 318.2 tonnes | -9.9% |
| 2012 | 341.12 tonnes | +7.2% |
| 2013 | 351.73 tonnes | +3.1% |
| 2014 | 355.58 tonnes | +1.1% |
| 2015 | 359.4 tonnes | +1.1% |
Bangladesh compared with similar countries
- Bangladesh's 359.4 tonnes is above the median for lower middle income countries, which is 85.22 tonnes, 4.2× the median. (25 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1950s | 20.09 tonnes | 14.1 tonnes | 28.2 tonnes | 10 |
| 1960s | 38.77 tonnes | 28.2 tonnes | 45.83 tonnes | 10 |
| 1970s | 56.38 tonnes | 50.09 tonnes | 67.35 tonnes | 10 |
| 1980s | 105.39 tonnes | 68.69 tonnes | 148.21 tonnes | 10 |
| 1990s | 159.54 tonnes | 143.57 tonnes | 179.5 tonnes | 10 |
| 2000s | 262.52 tonnes | 190.15 tonnes | 351.55 tonnes | 10 |
| 2010s | 346.51 tonnes | 318.2 tonnes | 359.4 tonnes | 6 |
Countries ranked near Bangladesh
- 39 Chile 514.44 tonnes compare
- 40 Mauritania 426.24 tonnes compare
- 41 Taiwan 373.94 tonnes compare
- 43 Netherlands 357.48 tonnes compare
- 44 United Kingdom 297.59 tonnes compare
- 45 Peru 278.81 tonnes compare
More agriculture & rural data for Bangladesh
- Agriculture, forestry, and fishing, value added (current US$), annual 3.73 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.1142 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 296.72 current US$ per person (2025)
- Rural population, annual growth rate 0.38 % change on previous year (2025)
- Rural population, per unit of GDP 0.0003 units per US$ of GDP (2025)
- Rural population, per capita 0.6676 units per person (2025)
- Share of GDP from agriculture 11.4% (2025)
- Agriculture as a share of GDP vs. GDP per capita 11.4% (2025)
- Agricultural raw materials exports 0.8% (2018)
- Agricultural raw materials imports 6.0% (2018)
Frequently asked questions
- What is what is wild fish catch used for? in Bangladesh?
- What is wild fish catch used for? in Bangladesh was 359.4 tonnes in 2015, according to Sea Around Us (2020) – processed by Our World in Data.
- What is the highest what is wild fish catch used for? recorded in Bangladesh?
- The highest recorded value was 359.4 tonnes in 2015.
- What is the lowest what is wild fish catch used for? recorded in Bangladesh?
- The lowest recorded value was 14.1 tonnes in 1950.
- How does Bangladesh rank for what is wild fish catch used for??
- Bangladesh ranks 42nd out of 140 countries with data for 2015.
- Is what is wild fish catch used for? rising or falling in Bangladesh?
- Over the last ten years it is up 31.8%. The long-run trend across the full record is volatile.
- Where does this Bangladesh data come from?
- The figures come from Sea Around Us (2020) – processed by Our World in Data, published as part of What is wild fish catch used for?. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 66 observations, free to reuse under CC BY 4.0 (Our World in Data).