Value Added (Agriculture, Forestry and Fishing) — Value Standard in Congo
Congo: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 577,748 million SLC in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Congo, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
In 2024, value added (agriculture, forestry and fishing) — value standard in Congo stood at 577,748 million SLC. That is the highest value across all 55 years on record.
That represents a change of up 4.2% on the previous year and up 28.7% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Congo peaked at 577,748 million SLC in 2024 and was at its lowest, 192,536 million SLC, in 1975.
That places Congo 49th out of 191 countries with data for 2024, putting it in the middle of the range.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Congo, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 208,043 million SLC | — |
| 1971 | 211,946 million SLC | +1.9% |
| 1972 | 213,341 million SLC | +0.7% |
| 1973 | 211,812 million SLC | -0.7% |
| 1974 | 202,280 million SLC | -4.5% |
| 1975 | 192,536 million SLC | -4.8% |
| 1976 | 202,808 million SLC | +5.3% |
| 1977 | 218,935 million SLC | +8.0% |
| 1978 | 223,972 million SLC | +2.3% |
| 1979 | 253,886 million SLC | +13.4% |
| 1980 | 279,051 million SLC | +9.9% |
| 1981 | 268,265 million SLC | -3.9% |
| 1982 | 281,207 million SLC | +4.8% |
| 1983 | 294,247 million SLC | +4.6% |
| 1984 | 288,442 million SLC | -2.0% |
| 1985 | 291,140 million SLC | +0.9% |
| 1986 | 307,414 million SLC | +5.6% |
| 1987 | 322,118 million SLC | +4.8% |
| 1988 | 313,980 million SLC | -2.5% |
| 1989 | 304,372 million SLC | -3.1% |
| 1990 | 282,608 million SLC | -7.2% |
| 1991 | 249,246 million SLC | -11.8% |
| 1992 | 271,732 million SLC | +9.0% |
| 1993 | 239,234 million SLC | -12.0% |
| 1994 | 253,911 million SLC | +6.1% |
| 1995 | 271,101 million SLC | +6.8% |
| 1996 | 255,641 million SLC | -5.7% |
| 1997 | 232,462 million SLC | -9.1% |
| 1998 | 266,723 million SLC | +14.7% |
| 1999 | 225,807 million SLC | -15.3% |
| 2000 | 273,095 million SLC | +20.9% |
| 2001 | 261,193 million SLC | -4.4% |
| 2002 | 282,968 million SLC | +8.3% |
| 2003 | 312,810 million SLC | +10.5% |
| 2004 | 307,406 million SLC | -1.7% |
| 2005 | 319,418 million SLC | +3.9% |
| 2006 | 323,866 million SLC | +1.4% |
| 2007 | 317,359 million SLC | -2.0% |
| 2008 | 340,944 million SLC | +7.4% |
| 2009 | 334,939 million SLC | -1.8% |
| 2010 | 349,038 million SLC | +4.2% |
| 2011 | 370,094 million SLC | +6.0% |
| 2012 | 438,298 million SLC | +18.4% |
| 2013 | 449,703 million SLC | +2.6% |
| 2014 | 448,958 million SLC | -0.2% |
| 2015 | 427,171 million SLC | -4.9% |
| 2016 | 425,933 million SLC | -0.3% |
| 2017 | 490,488 million SLC | +15.2% |
| 2018 | 472,939 million SLC | -3.6% |
| 2019 | 494,566 million SLC | +4.6% |
| 2020 | 513,885 million SLC | +3.9% |
| 2021 | 523,650 million SLC | +1.9% |
| 2022 | 539,359 million SLC | +3.0% |
| 2023 | 554,461 million SLC | +2.8% |
| 2024 | 577,748 million SLC | +4.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 213,956 million SLC | 192,536 million SLC | 253,886 million SLC | 10 |
| 1980s | 295,024 million SLC | 268,265 million SLC | 322,118 million SLC | 10 |
| 1990s | 254,846 million SLC | 225,807 million SLC | 282,608 million SLC | 10 |
| 2000s | 307,400 million SLC | 261,193 million SLC | 340,944 million SLC | 10 |
| 2010s | 436,719 million SLC | 349,038 million SLC | 494,566 million SLC | 10 |
| 2020s | 541,821 million SLC | 513,885 million SLC | 577,748 million SLC | 5 |
Countries ranked near Congo
More environment data for Congo
- Historical exposure to drought — Land soil moisture anomaly -9.96 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -6.68 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.202 °C (2025)
- Temperature change 1.13 °C (2025)
- Paper and paperboard — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
- Paper and paperboard — Import value, per capita 0.0018 1000 USD per person (2024)
- Graphic papers — Import quantity, annual growth rate -56.26 % change on previous year (2024)
- Graphic papers — Import quantity, per unit of GDP 0 t per US$ of GDP (2024)
- Graphic papers — Import quantity, per capita 0.001 t per person (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Congo?
- Value added (agriculture, forestry and fishing) — value standard in Congo was 577,748 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value standard recorded in Congo?
- The highest recorded value was 577,748 million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Congo?
- The lowest recorded value was 192,536 million SLC in 1975.
- How does Congo rank for value added (agriculture, forestry and fishing) — value standard?
- Congo ranks 49th out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Congo?
- Over the last ten years it is up 28.7%. The long-run trend across the full record is rising.
- Where does this Congo data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
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About this data
The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).