Unmanufactured tobacco — Gross Production Value in Congo
Congo: Unmanufactured tobacco — Gross Production Value was 1,107 1000 Int$ in 2024. ◆ Volatile
Latest (2024)
1,107 1000 Int$
Change on year
up 0.7%
World rank
92nd
of 128 countries
All-time high
2,576 1000 Int$
in 1973
All-time low
207 1000 Int$
in 1996
Years of data
64
1961–2024
Unmanufactured tobacco — Gross Production Value in Congo, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
Congo recorded 1,107 1000 Int$ for unmanufactured tobacco — gross production value in 2024.
The figure is up 0.7% on the previous year and up 4.0% over ten years.
Over the whole period, unmanufactured tobacco — gross production value in Congo peaked at 2,576 1000 Int$ in 1973 and was at its lowest, 207 1000 Int$, in 1996.
That places Congo 92nd out of 128 countries with data for 2024, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Unmanufactured tobacco — Gross Production Value in Congo, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 1,254 1000 Int$ | — |
| 1962 | 1,281 1000 Int$ | +2.2% |
| 1963 | 1,120 1000 Int$ | -12.6% |
| 1964 | 878 1000 Int$ | -21.6% |
| 1965 | 983 1000 Int$ | +12.0% |
| 1966 | 1,420 1000 Int$ | +44.5% |
| 1967 | 1,669 1000 Int$ | +17.5% |
| 1968 | 1,431 1000 Int$ | -14.3% |
| 1969 | 1,718 1000 Int$ | +20.1% |
| 1970 | 1,881 1000 Int$ | +9.5% |
| 1971 | 2,217 1000 Int$ | +17.9% |
| 1972 | 2,177 1000 Int$ | -1.8% |
| 1973 | 2,576 1000 Int$ | +18.3% |
| 1974 | 2,262 1000 Int$ | -12.2% |
| 1975 | 2,271 1000 Int$ | +0.4% |
| 1976 | 2,258 1000 Int$ | -0.6% |
| 1977 | 1,357 1000 Int$ | -39.9% |
| 1978 | 1,003 1000 Int$ | -26.1% |
| 1979 | 1,427 1000 Int$ | +42.3% |
| 1980 | 1,059 1000 Int$ | -25.8% |
| 1981 | 896 1000 Int$ | -15.4% |
| 1982 | 956 1000 Int$ | +6.7% |
| 1983 | 455 1000 Int$ | -52.4% |
| 1984 | 650 1000 Int$ | +42.9% |
| 1985 | 208 1000 Int$ | -68.0% |
| 1986 | 251 1000 Int$ | +20.7% |
| 1987 | 224 1000 Int$ | -10.8% |
| 1988 | 224 1000 Int$ | +0.0% |
| 1989 | 448 1000 Int$ | +100.0% |
| 1990 | 287 1000 Int$ | -35.9% |
| 1991 | 296 1000 Int$ | +3.1% |
| 1992 | 336 1000 Int$ | +13.5% |
| 1993 | 335 1000 Int$ | -0.3% |
| 1994 | 294 1000 Int$ | -12.2% |
| 1995 | 280 1000 Int$ | -4.8% |
| 1996 | 207 1000 Int$ | -26.1% |
| 1997 | 224 1000 Int$ | +8.2% |
| 1998 | 336 1000 Int$ | +50.0% |
| 1999 | 396 1000 Int$ | +17.9% |
| 2000 | 448 1000 Int$ | +13.1% |
| 2001 | 498 1000 Int$ | +11.2% |
| 2002 | 560 1000 Int$ | +12.4% |
| 2003 | 717 1000 Int$ | +28.0% |
| 2004 | 663 1000 Int$ | -7.5% |
| 2005 | 664 1000 Int$ | +0.2% |
| 2006 | 672 1000 Int$ | +1.2% |
| 2007 | 668 1000 Int$ | -0.6% |
| 2008 | 759 1000 Int$ | +13.6% |
| 2009 | 838 1000 Int$ | +10.4% |
| 2010 | 941 1000 Int$ | +12.3% |
| 2011 | 985 1000 Int$ | +4.7% |
| 2012 | 1,008 1000 Int$ | +2.3% |
| 2013 | 1,036 1000 Int$ | +2.8% |
| 2014 | 1,064 1000 Int$ | +2.7% |
| 2015 | 1,090 1000 Int$ | +2.4% |
| 2016 | 1,063 1000 Int$ | -2.5% |
| 2017 | 1,050 1000 Int$ | -1.2% |
| 2018 | 1,045 1000 Int$ | -0.5% |
| 2019 | 1,043 1000 Int$ | -0.2% |
| 2020 | 1,047 1000 Int$ | +0.4% |
| 2021 | 1,097 1000 Int$ | +4.8% |
| 2022 | 1,091 1000 Int$ | -0.5% |
| 2023 | 1,099 1000 Int$ | +0.7% |
| 2024 | 1,107 1000 Int$ | +0.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 1,306 1000 Int$ | 878 1000 Int$ | 1,718 1000 Int$ | 9 |
| 1970s | 1,943 1000 Int$ | 1,003 1000 Int$ | 2,576 1000 Int$ | 10 |
| 1980s | 537.1 1000 Int$ | 208 1000 Int$ | 1,059 1000 Int$ | 10 |
| 1990s | 299.1 1000 Int$ | 207 1000 Int$ | 396 1000 Int$ | 10 |
| 2000s | 648.7 1000 Int$ | 448 1000 Int$ | 838 1000 Int$ | 10 |
| 2010s | 1,032 1000 Int$ | 941 1000 Int$ | 1,090 1000 Int$ | 10 |
| 2020s | 1,088 1000 Int$ | 1,047 1000 Int$ | 1,107 1000 Int$ | 5 |
Countries ranked near Congo
- 89 Switzerland 1,693 1000 Int$ compare
- 90 Burkina Faso 1,689 1000 Int$ compare
- 91 Haiti 1,249 1000 Int$ compare
- 93 Central African Republic 1,076 1000 Int$ compare
- 94 Tajikistan 849 1000 Int$ compare
- 95 Bosnia and Herzegovina 844 1000 Int$ compare
More agriculture & rural data for Congo
- Agriculture, forestry, and fishing, value added (current US$), annual 11.08 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.1011 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 254.21 current US$ per person (2025)
- Rural population, annual growth rate 1.72 % change on previous year (2025)
- Rural population, per unit of GDP 0.0001 units per US$ of GDP (2025)
- Rural population, per capita 0.3588 units per person (2025)
- Share of GDP from agriculture 10.1% (2025)
- Agriculture as a share of GDP vs. GDP per capita 10.1% (2025)
- Agricultural raw materials exports 2.4% (2023)
- Agricultural raw materials imports 1.0% (2023)
Frequently asked questions
- What is unmanufactured tobacco — gross production value in Congo?
- Unmanufactured tobacco — gross production value in Congo was 1,107 1000 Int$ in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest unmanufactured tobacco — gross production value recorded in Congo?
- The highest recorded value was 2,576 1000 Int$ in 1973.
- What is the lowest unmanufactured tobacco — gross production value recorded in Congo?
- The lowest recorded value was 207 1000 Int$ in 1996.
- How does Congo rank for unmanufactured tobacco — gross production value?
- Congo ranks 92nd out of 128 countries with data for 2024.
- Is unmanufactured tobacco — gross production value rising or falling in Congo?
- Over the last ten years it is up 4.0%. The long-run trend across the full record is volatile.
- Where does this Congo data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Unmanufactured tobacco — Gross Production Value (constant 2014-2016 thousand I$). Statizoid updates them automatically from the source API.
Download this data
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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.