Value Added (Agriculture, Forestry and Fishing) — Value US$ in Northern America
Northern America: Value Added (Agriculture, Forestry and Fishing) — Value US$ was 288,912 million USD in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value US$ in Northern America, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
Northern America recorded 288,912 million USD for value added (agriculture, forestry and fishing) — value us$ in 2024.
The figure is down 7.7% on the previous year and up 26.3% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$ in Northern America peaked at 328,596 million USD in 2022 and was at its lowest, 28,770 million USD, in 1970.
Northern America ranks 11th of 29 groups 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.
Value Added (Agriculture, Forestry and Fishing) — Value US$ in Northern America, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 28,770 million USD | — |
| 1971 | 30,868 million USD | +7.3% |
| 1972 | 35,458 million USD | +14.9% |
| 1973 | 52,393 million USD | +47.8% |
| 1974 | 52,579 million USD | +0.4% |
| 1975 | 54,048 million USD | +2.8% |
| 1976 | 53,553 million USD | -0.9% |
| 1977 | 53,187 million USD | -0.7% |
| 1978 | 61,727 million USD | +16.1% |
| 1979 | 72,664 million USD | +17.7% |
| 1980 | 67,000 million USD | -7.8% |
| 1981 | 80,655 million USD | +20.4% |
| 1982 | 76,740 million USD | -4.9% |
| 1983 | 64,279 million USD | -16.2% |
| 1984 | 82,139 million USD | +27.8% |
| 1985 | 82,940 million USD | +1.0% |
| 1986 | 81,530 million USD | -1.7% |
| 1987 | 86,944 million USD | +6.6% |
| 1988 | 88,775 million USD | +2.1% |
| 1989 | 100,910 million USD | +13.7% |
| 1990 | 106,519 million USD | +5.6% |
| 1991 | 101,741 million USD | -4.5% |
| 1992 | 108,548 million USD | +6.7% |
| 1993 | 105,700 million USD | -2.6% |
| 1994 | 113,984 million USD | +7.8% |
| 1995 | 108,303 million USD | -5.0% |
| 1996 | 126,763 million USD | +17.0% |
| 1997 | 122,838 million USD | -3.1% |
| 1998 | 113,778 million USD | -7.4% |
| 1999 | 107,728 million USD | -5.3% |
| 2000 | 114,091 million USD | +5.9% |
| 2001 | 115,670 million USD | +1.4% |
| 2002 | 111,246 million USD | -3.8% |
| 2003 | 133,285 million USD | +19.8% |
| 2004 | 166,370 million USD | +24.8% |
| 2005 | 151,895 million USD | -8.7% |
| 2006 | 149,189 million USD | -1.8% |
| 2007 | 169,175 million USD | +13.4% |
| 2008 | 173,860 million USD | +2.8% |
| 2009 | 150,751 million USD | -13.3% |
| 2010 | 169,405 million USD | +12.4% |
| 2011 | 211,275 million USD | +24.7% |
| 2012 | 212,260 million USD | +0.5% |
| 2013 | 250,182 million USD | +17.9% |
| 2014 | 228,706 million USD | -8.6% |
| 2015 | 210,524 million USD | -7.9% |
| 2016 | 195,748 million USD | -7.0% |
| 2017 | 208,574 million USD | +6.6% |
| 2018 | 207,025 million USD | -0.7% |
| 2019 | 194,377 million USD | -6.1% |
| 2020 | 193,912 million USD | -0.2% |
| 2021 | 264,250 million USD | +36.3% |
| 2022 | 328,596 million USD | +24.4% |
| 2023 | 312,913 million USD | -4.8% |
| 2024 | 288,912 million USD | -7.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 49,525 million USD | 28,770 million USD | 72,664 million USD | 10 |
| 1980s | 81,191 million USD | 64,279 million USD | 100,910 million USD | 10 |
| 1990s | 111,590 million USD | 101,741 million USD | 126,763 million USD | 10 |
| 2000s | 143,553 million USD | 111,246 million USD | 173,860 million USD | 10 |
| 2010s | 208,808 million USD | 169,405 million USD | 250,182 million USD | 10 |
| 2020s | 277,717 million USD | 193,912 million USD | 328,596 million USD | 5 |
Countries ranked near Northern America
More environment data for Northern America
- Historical exposure to drought — Land soil moisture anomaly -2.23 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -3.25 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.466 °C (2025)
- Temperature change 2.49 °C (2025)
- Recovered paper — Production 43.74 million t (2024)
- Total fibre furnish — Production 92.54 million t (2024)
- Nutrient nitrogen N (total) — Agricultural Use 14.64 million t (2024)
- Nutrient nitrogen N (total) — Use per capita 37.99 kg/cap (2024)
- Nutrient nitrogen N (total) — Use per area of cropland 75.85 kg/ha (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$ in Northern America?
- Value added (agriculture, forestry and fishing) — value us$ in Northern America was 288,912 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$ recorded in Northern America?
- The highest recorded value was 328,596 million USD in 2022.
- What is the lowest value added (agriculture, forestry and fishing) — value us$ recorded in Northern America?
- The lowest recorded value was 28,770 million USD in 1970.
- How does Northern America rank for value added (agriculture, forestry and fishing) — value us$?
- Northern America ranks 11th out of 29 groups with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$ rising or falling in Northern America?
- Over the last ten years it is up 26.3%. The long-run trend across the full record is volatile.
- Where does this Northern America 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$. Statizoid updates them automatically from the source API.
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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).