Tea leaves — Gross Production Value in Bangladesh
Bangladesh: Tea leaves — Gross Production Value was 844,468 1000 Int$ in 2024. ◆ Volatile
Latest (2024)
844,468 1000 Int$
Change on year
up 8.0%
World rank
7th
of 45 countries
All-time high
844,468 1000 Int$
in 2024
All-time low
23,168 1000 Int$
in 1971
Years of data
64
1961–2024
Tea leaves — Gross Production Value in Bangladesh, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
The most recent figure for tea leaves — gross production value in Bangladesh is 844,468 1000 Int$, measured in 2024. That is the highest value across all 64 years on record.
The figure is up 8.0% on the previous year and up 58.0% over ten years.
Over the whole period, tea leaves — gross production value in Bangladesh peaked at 844,468 1000 Int$ in 2024 and was at its lowest, 23,168 1000 Int$, in 1971.
Bangladesh ranks 7th of 45 countries on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Tea leaves — Gross Production Value in Bangladesh, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 51,214 1000 Int$ | — |
| 1962 | 45,126 1000 Int$ | -11.9% |
| 1963 | 47,465 1000 Int$ | +5.2% |
| 1964 | 54,477 1000 Int$ | +14.8% |
| 1965 | 51,310 1000 Int$ | -5.8% |
| 1966 | 55,185 1000 Int$ | +7.6% |
| 1967 | 56,536 1000 Int$ | +2.4% |
| 1968 | 54,992 1000 Int$ | -2.7% |
| 1969 | 58,500 1000 Int$ | +6.4% |
| 1970 | 60,385 1000 Int$ | +3.2% |
| 1971 | 23,168 1000 Int$ | -61.6% |
| 1972 | 46,440 1000 Int$ | +100.4% |
| 1973 | 52,514 1000 Int$ | +13.1% |
| 1974 | 62,071 1000 Int$ | +18.2% |
| 1975 | 56,705 1000 Int$ | -8.6% |
| 1976 | 65,792 1000 Int$ | +16.0% |
| 1977 | 71,436 1000 Int$ | +8.6% |
| 1978 | 73,911 1000 Int$ | +3.5% |
| 1979 | 70,641 1000 Int$ | -4.4% |
| 1980 | 76,618 1000 Int$ | +8.5% |
| 1981 | 74,812 1000 Int$ | -2.4% |
| 1982 | 78,990 1000 Int$ | +5.6% |
| 1983 | 81,431 1000 Int$ | +3.1% |
| 1984 | 73,130 1000 Int$ | -10.2% |
| 1985 | 83,520 1000 Int$ | +14.2% |
| 1986 | 73,323 1000 Int$ | -12.2% |
| 1987 | 72,541 1000 Int$ | -1.1% |
| 1988 | 78,361 1000 Int$ | +8.0% |
| 1989 | 84,091 1000 Int$ | +7.3% |
| 1990 | 75,397 1000 Int$ | -10.3% |
| 1991 | 378,190 1000 Int$ | +401.6% |
| 1992 | 382,050 1000 Int$ | +1.0% |
| 1993 | 410,993 1000 Int$ | +7.6% |
| 1994 | 424,500 1000 Int$ | +3.3% |
| 1995 | 436,077 1000 Int$ | +2.7% |
| 1996 | 399,415 1000 Int$ | -8.4% |
| 1997 | 447,654 1000 Int$ | +12.1% |
| 1998 | 424,500 1000 Int$ | -5.2% |
| 1999 | 468,879 1000 Int$ | +10.5% |
| 2000 | 385,909 1000 Int$ | -17.7% |
| 2001 | 436,077 1000 Int$ | +13.0% |
| 2002 | 486,245 1000 Int$ | +11.5% |
| 2003 | 482,386 1000 Int$ | -0.8% |
| 2004 | 482,386 1000 Int$ | +0.0% |
| 2005 | 482,386 1000 Int$ | +0.0% |
| 2006 | 486,245 1000 Int$ | +0.8% |
| 2007 | 490,104 1000 Int$ | +0.8% |
| 2008 | 495,893 1000 Int$ | +1.2% |
| 2009 | 499,752 1000 Int$ | +0.8% |
| 2010 | 503,611 1000 Int$ | +0.8% |
| 2011 | 507,470 1000 Int$ | +0.8% |
| 2012 | 524,836 1000 Int$ | +3.4% |
| 2013 | 555,708 1000 Int$ | +5.9% |
| 2014 | 534,483 1000 Int$ | -3.8% |
| 2015 | 553,779 1000 Int$ | +3.6% |
| 2016 | 540,272 1000 Int$ | -2.4% |
| 2017 | 686,917 1000 Int$ | +27.1% |
| 2018 | 656,045 1000 Int$ | -4.5% |
| 2019 | 760,240 1000 Int$ | +15.9% |
| 2020 | 794,972 1000 Int$ | +4.6% |
| 2021 | 794,972 1000 Int$ | +0.0% |
| 2022 | 823,377 1000 Int$ | +3.6% |
| 2023 | 781,951 1000 Int$ | -5.0% |
| 2024 | 844,468 1000 Int$ | +8.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 52,756 1000 Int$ | 45,126 1000 Int$ | 58,500 1000 Int$ | 9 |
| 1970s | 58,306 1000 Int$ | 23,168 1000 Int$ | 73,911 1000 Int$ | 10 |
| 1980s | 77,682 1000 Int$ | 72,541 1000 Int$ | 84,091 1000 Int$ | 10 |
| 1990s | 384,766 1000 Int$ | 75,397 1000 Int$ | 468,879 1000 Int$ | 10 |
| 2000s | 472,738 1000 Int$ | 385,909 1000 Int$ | 499,752 1000 Int$ | 10 |
| 2010s | 582,336 1000 Int$ | 503,611 1000 Int$ | 760,240 1000 Int$ | 10 |
| 2020s | 807,948 1000 Int$ | 781,951 1000 Int$ | 844,468 1000 Int$ | 5 |
Countries ranked near Bangladesh
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 tea leaves — gross production value in Bangladesh?
- Tea leaves — gross production value in Bangladesh was 844,468 1000 Int$ in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest tea leaves — gross production value recorded in Bangladesh?
- The highest recorded value was 844,468 1000 Int$ in 2024.
- What is the lowest tea leaves — gross production value recorded in Bangladesh?
- The lowest recorded value was 23,168 1000 Int$ in 1971.
- How does Bangladesh rank for tea leaves — gross production value?
- Bangladesh ranks 7th out of 45 countries with data for 2024.
- Is tea leaves — gross production value rising or falling in Bangladesh?
- Over the last ten years it is up 58.0%. The long-run trend across the full record is volatile.
- Where does this Bangladesh data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Tea leaves — Gross Production Value (constant 2014-2016 thousand I$). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 64 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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.