Value Added (Agriculture, Forestry and Fishing) — Value Standard in Argentina
Argentina: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 34.65 million million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Argentina, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
The most recent figure for value added (agriculture, forestry and fishing) — value standard in Argentina is 34.65 million million SLC, measured in 2024. That is the highest value across all 55 years on record.
Compared with earlier readings it is up 205.3% on the previous year and up 11,172.1% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Argentina peaked at 34.65 million million SLC in 2024 and was at its lowest, 0 million SLC, in 1970.
That places Argentina 12th out of 199 countries with data for 2024, putting it in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Argentina, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 0 million SLC | — |
| 1971 | 0 million SLC | — |
| 1972 | 0 million SLC | — |
| 1973 | 0 million SLC | — |
| 1974 | 0 million SLC | +0.0% |
| 1975 | 0 million SLC | +0.0% |
| 1976 | 0 million SLC | +700.0% |
| 1977 | 0 million SLC | +175.0% |
| 1978 | 0.0001 million SLC | +127.3% |
| 1979 | 0.0001 million SLC | +184.0% |
| 1980 | 0.0002 million SLC | +61.3% |
| 1981 | 0.0005 million SLC | +98.7% |
| 1982 | 0.002 million SLC | +333.0% |
| 1983 | 0.0089 million SLC | +352.1% |
| 1984 | 0.062 million SLC | +596.3% |
| 1985 | 0.3805 million SLC | +513.5% |
| 1986 | 0.7317 million SLC | +92.3% |
| 1987 | 1.77 million SLC | +142.5% |
| 1988 | 9.37 million SLC | +428.0% |
| 1989 | 293.08 million SLC | +3028.6% |
| 1990 | 5,260 million SLC | +1694.8% |
| 1991 | 11,669 million SLC | +121.8% |
| 1992 | 12,756 million SLC | +9.3% |
| 1993 | 11,414 million SLC | -10.5% |
| 1994 | 12,294 million SLC | +7.7% |
| 1995 | 12,973 million SLC | +5.5% |
| 1996 | 14,346 million SLC | +10.6% |
| 1997 | 14,368 million SLC | +0.2% |
| 1998 | 14,753 million SLC | +2.7% |
| 1999 | 11,875 million SLC | -19.5% |
| 2000 | 12,496 million SLC | +5.2% |
| 2001 | 11,533 million SLC | -7.7% |
| 2002 | 29,974 million SLC | +159.9% |
| 2003 | 36,477 million SLC | +21.7% |
| 2004 | 40,568 million SLC | +11.2% |
| 2005 | 46,246 million SLC | +14.0% |
| 2006 | 49,652 million SLC | +7.4% |
| 2007 | 66,846 million SLC | +34.6% |
| 2008 | 84,142 million SLC | +25.9% |
| 2009 | 65,811 million SLC | -21.8% |
| 2010 | 118,517 million SLC | +80.1% |
| 2011 | 152,504 million SLC | +28.7% |
| 2012 | 152,517 million SLC | +0.0% |
| 2013 | 202,670 million SLC | +32.9% |
| 2014 | 307,380 million SLC | +51.7% |
| 2015 | 307,055 million SLC | -0.1% |
| 2016 | 515,458 million SLC | +67.9% |
| 2017 | 557,703 million SLC | +8.2% |
| 2018 | 669,102 million SLC | +20.0% |
| 2019 | 1.15 million million SLC | +71.4% |
| 2020 | 1.73 million million SLC | +50.9% |
| 2021 | 3.37 million million SLC | +94.8% |
| 2022 | 5.49 million million SLC | +62.8% |
| 2023 | 11.35 million million SLC | +106.9% |
| 2024 | 34.65 million million SLC | +205.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 0 million SLC | 0 million SLC | 0.0001 million SLC | 10 |
| 1980s | 30.54 million SLC | 0.0002 million SLC | 293.08 million SLC | 10 |
| 1990s | 12,171 million SLC | 5,260 million SLC | 14,753 million SLC | 10 |
| 2000s | 44,375 million SLC | 11,533 million SLC | 84,142 million SLC | 10 |
| 2010s | 412,951 million SLC | 118,517 million SLC | 1.15 million million SLC | 10 |
| 2020s | 11.32 million million SLC | 1.73 million million SLC | 34.65 million million SLC | 5 |
Countries ranked near Argentina
More environment data for Argentina
- Historical exposure to drought — Land soil moisture anomaly -5.89 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -4.78 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.306 °C (2025)
- Temperature change 1.03 °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 0.011 1000 USD per person (2024)
- Graphic papers — Import quantity, annual growth rate -35.12 % 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 0.0028 t per person (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Argentina?
- Value added (agriculture, forestry and fishing) — value standard in Argentina was 34.65 million 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 Argentina?
- The highest recorded value was 34.65 million million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Argentina?
- The lowest recorded value was 0 million SLC in 1970.
- How does Argentina rank for value added (agriculture, forestry and fishing) — value standard?
- Argentina ranks 12th out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Argentina?
- Over the last ten years it is up 11,172.1%. The long-run trend across the full record is volatile.
- Where does this Argentina 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. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 55 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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).