Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Colombia

Colombia: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 23,129 million USD in 2024. ▲ Rising

Latest (2024)
23,129 million USD
Change on year
up 8.1%
World rank
30th
of 200 countries
All-time high
23,129 million USD
in 2024
All-time low
5,169 million USD
in 1970
Years of data
55
1970–2024

Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Colombia, 1970–2024

5.0k10.0k15.0k20.0k25.0k197019972024

Source: Food and Agriculture Organization of the United Nations. Measured in million USD.

Analysis

Colombia recorded 23,129 million USD for value added (agriculture, forestry and fishing) — value us$, 2015 in 2024. That is the highest value across all 55 years on record.

The figure is up 8.1% on the previous year and up 37.4% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in Colombia peaked at 23,129 million USD in 2024 and was at its lowest, 5,169 million USD, in 1970.

Colombia ranks 30th of 200 countries on this measure, in the top quarter.

The long-run direction has been consistently rising across the 55 years of available data.

Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Colombia, year by year

Annual values for Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 prices in Colombia, 1970 to 2024.
Year million USD Change
1970 5,169 million USD
1971 5,211 million USD +0.8%
1972 5,619 million USD +7.8%
1973 5,752 million USD +2.4%
1974 6,071 million USD +5.5%
1975 6,422 million USD +5.8%
1976 6,618 million USD +3.1%
1977 6,834 million USD +3.3%
1978 7,388 million USD +8.1%
1979 7,746 million USD +4.8%
1980 7,918 million USD +2.2%
1981 8,171 million USD +3.2%
1982 8,017 million USD -1.9%
1983 8,242 million USD +2.8%
1984 8,386 million USD +1.8%
1985 8,525 million USD +1.6%
1986 8,812 million USD +3.4%
1987 9,375 million USD +6.4%
1988 9,635 million USD +2.8%
1989 10,049 million USD +4.3%
1990 10,634 million USD +5.8%
1991 11,077 million USD +4.2%
1992 10,873 million USD -1.8%
1993 11,059 million USD +1.7%
1994 11,340 million USD +2.5%
1995 11,763 million USD +3.7%
1996 11,618 million USD -1.2%
1997 11,693 million USD +0.7%
1998 11,698 million USD +0.0%
1999 11,692 million USD -0.0%
2000 12,142 million USD +3.8%
2001 12,206 million USD +0.5%
2002 12,855 million USD +5.3%
2003 13,261 million USD +3.2%
2004 13,504 million USD +1.8%
2005 13,826 million USD +2.4%
2006 14,121 million USD +2.1%
2007 14,676 million USD +3.9%
2008 14,558 million USD -0.8%
2009 14,524 million USD -0.2%
2010 14,568 million USD +0.3%
2011 14,847 million USD +1.9%
2012 15,218 million USD +2.5%
2013 16,352 million USD +7.5%
2014 16,828 million USD +2.9%
2015 17,552 million USD +4.3%
2016 18,032 million USD +2.7%
2017 19,038 million USD +5.6%
2018 19,341 million USD +1.6%
2019 19,867 million USD +2.7%
2020 20,256 million USD +2.0%
2021 21,140 million USD +4.4%
2022 20,964 million USD -0.8%
2023 21,388 million USD +2.0%
2024 23,129 million USD +8.1%

Averages by decade

DecadeAverage LowestHighest Years
1970s 6,283 million USD 5,169 million USD 7,746 million USD 10
1980s 8,713 million USD 7,918 million USD 10,049 million USD 10
1990s 11,345 million USD 10,634 million USD 11,763 million USD 10
2000s 13,567 million USD 12,142 million USD 14,676 million USD 10
2010s 17,164 million USD 14,568 million USD 19,867 million USD 10
2020s 21,375 million USD 20,256 million USD 23,129 million USD 5

Countries ranked near Colombia

  1. 27 Sudan 24,800 million USD compare
  2. 28 Algeria 24,595 million USD compare
  3. 29 Saudi Arabia 24,348 million USD compare
  4. 31 United Kingdom of Great Britain and Northern Ireland 18,767 million USD compare
  5. 32 Sudan (former) 18,122 million USD compare
  6. 33 Peru 17,381 million USD compare

See the full ranking of 249 places →

More environment data for Colombia

All data for Colombia →

Frequently asked questions

What is value added (agriculture, forestry and fishing) — value us$, 2015 in Colombia?
Value added (agriculture, forestry and fishing) — value us$, 2015 in Colombia was 23,129 million USD in 2024, according to Food and Agriculture Organization of the United Nations.
What is the highest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Colombia?
The highest recorded value was 23,129 million USD in 2024.
What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Colombia?
The lowest recorded value was 5,169 million USD in 1970.
How does Colombia rank for value added (agriculture, forestry and fishing) — value us$, 2015?
Colombia ranks 30th out of 200 countries with data for 2024.
Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in Colombia?
Over the last ten years it is up 37.4%. The long-run trend across the full record is rising.
Where does this Colombia 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 US$, 2015 prices. Statizoid updates them automatically from the source API.

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Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Colombia. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 24 August 2026, from https://environment.statizoid.com/stat/value-added-agriculture-forestry-and-fishing-value-us-2015-prices/colombia/

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About this data

Indicator
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 prices
Unit
million USD
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
249 places, 12,769 data points, 1970–2024
Last refreshed

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).