Value Added (Agriculture, Forestry and Fishing) — Value Standard in Australia
Australia: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 53,191 million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Australia, 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 Australia stood at 53,191 million SLC.
That represents a change of down 10.3% on the previous year and up 37.8% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Australia peaked at 66,075 million SLC in 2022 and was at its lowest, 2,322 million SLC, in 1970.
That places Australia 90th out of 199 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.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Australia, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 2,322 million SLC | — |
| 1971 | 2,634 million SLC | +13.4% |
| 1972 | 3,590 million SLC | +36.3% |
| 1973 | 4,891 million SLC | +36.2% |
| 1974 | 4,281 million SLC | -12.5% |
| 1975 | 4,398 million SLC | +2.7% |
| 1976 | 4,901 million SLC | +11.5% |
| 1977 | 4,799 million SLC | -2.1% |
| 1978 | 7,671 million SLC | +59.9% |
| 1979 | 8,845 million SLC | +15.3% |
| 1980 | 8,481 million SLC | -4.1% |
| 1981 | 8,921 million SLC | +5.2% |
| 1982 | 7,042 million SLC | -21.1% |
| 1983 | 10,976 million SLC | +55.9% |
| 1984 | 11,056 million SLC | +0.7% |
| 1985 | 10,926 million SLC | -1.2% |
| 1986 | 11,795 million SLC | +8.0% |
| 1987 | 14,168 million SLC | +20.1% |
| 1988 | 16,718 million SLC | +18.0% |
| 1989 | 16,971 million SLC | +1.5% |
| 1990 | 13,171 million SLC | -22.4% |
| 1991 | 12,880 million SLC | -2.2% |
| 1992 | 14,449 million SLC | +12.2% |
| 1993 | 15,576 million SLC | +7.8% |
| 1994 | 14,923 million SLC | -4.2% |
| 1995 | 17,873 million SLC | +19.8% |
| 1996 | 17,977 million SLC | +0.6% |
| 1997 | 17,847 million SLC | -0.7% |
| 1998 | 18,950 million SLC | +6.2% |
| 1999 | 20,612 million SLC | +8.8% |
| 2000 | 24,737 million SLC | +20.0% |
| 2001 | 29,842 million SLC | +20.6% |
| 2002 | 23,189 million SLC | -22.3% |
| 2003 | 26,455 million SLC | +14.1% |
| 2004 | 26,707 million SLC | +1.0% |
| 2005 | 27,299 million SLC | +2.2% |
| 2006 | 24,024 million SLC | -12.0% |
| 2007 | 27,628 million SLC | +15.0% |
| 2008 | 29,027 million SLC | +5.1% |
| 2009 | 28,753 million SLC | -0.9% |
| 2010 | 32,519 million SLC | +13.1% |
| 2011 | 34,034 million SLC | +4.7% |
| 2012 | 35,134 million SLC | +3.2% |
| 2013 | 35,517 million SLC | +1.1% |
| 2014 | 38,590 million SLC | +8.7% |
| 2015 | 39,882 million SLC | +3.3% |
| 2016 | 47,570 million SLC | +19.3% |
| 2017 | 45,315 million SLC | -4.7% |
| 2018 | 41,201 million SLC | -9.1% |
| 2019 | 39,876 million SLC | -3.2% |
| 2020 | 48,054 million SLC | +20.5% |
| 2021 | 62,295 million SLC | +29.6% |
| 2022 | 66,075 million SLC | +6.1% |
| 2023 | 59,284 million SLC | -10.3% |
| 2024 | 53,191 million SLC | -10.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 4,833 million SLC | 2,322 million SLC | 8,845 million SLC | 10 |
| 1980s | 11,705 million SLC | 7,042 million SLC | 16,971 million SLC | 10 |
| 1990s | 16,426 million SLC | 12,880 million SLC | 20,612 million SLC | 10 |
| 2000s | 26,766 million SLC | 23,189 million SLC | 29,842 million SLC | 10 |
| 2010s | 38,964 million SLC | 32,519 million SLC | 47,570 million SLC | 10 |
| 2020s | 57,780 million SLC | 48,054 million SLC | 66,075 million SLC | 5 |
Countries ranked near Australia
- 87 Romania 57,674 million SLC compare
- 88 North Macedonia 55,942 million SLC compare
- 89 Canada 54,715 million SLC compare
- 91 Italy 44,032 million SLC compare
- 92 Sierra Leone 43,351 million SLC compare
- 93 Sudan (former) 42,743 million SLC compare
More environment data for Australia
- Historical exposure to drought — Land soil moisture anomaly -4.75 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -5.98 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.345 °C (2025)
- Temperature change 1.4 °C (2025)
- Newsprint — Import quantity, gaps filled 25,856 t (2024)
- Newsprint — Import quantity, annual growth rate -32.58 % change on previous year (2024)
- Newsprint — Import value, gaps filled 16,215 1000 USD (2024)
- Newsprint — Import value, annual growth rate -51.76 % change on previous year (2024)
- Printing and writing papers — Import quantity, annual growth rate 23.39 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Australia?
- Value added (agriculture, forestry and fishing) — value standard in Australia was 53,191 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 Australia?
- The highest recorded value was 66,075 million SLC in 2022.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Australia?
- The lowest recorded value was 2,322 million SLC in 1970.
- How does Australia rank for value added (agriculture, forestry and fishing) — value standard?
- Australia ranks 90th out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Australia?
- Over the last ten years it is up 37.8%. The long-run trend across the full record is volatile.
- Where does this Australia 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).