Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value in Australia

Australia: Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value was 155,178 million SLC in 2016. ▲ Rising

Latest (2016)
155,178 million SLC
Change on year
up 3.5%
World rank
10th
of 26 countries
All-time high
155,178 million SLC
in 2016
All-time low
65,033 million SLC
in 1995
Years of data
22
1995–2016

Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value in Australia, 1995–2016

050.0k100.0k150.0k1995200520161995: 65.0k million SLC1996: 68.1k million SLC1997: 72.8k million SLC1998: 75.2k million SLC1999: 79.3k million SLC2000: 83.1k million SLC2001: 86.0k million SLC2002: 88.7k million SLC2003: 94.3k million SLC2004: 101.5k million SLC2005: 108.4k million SLC2006: 117.8k million SLC2007: 126.4k million SLC2008: 131.3k million SLC2009: 132.5k million SLC2010: 134.0k million SLC2011: 136.2k million SLC2012: 139.3k million SLC2013: 143.0k million SLC2014: 147.0k million SLC2015: 150.0k million SLC2016: 155.2k million SLC

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

Analysis

Australia recorded 155,178 million SLC for gross capital stocks (agriculture, forestry and fishing) — value in 2016. That is the highest value across all 22 years on record.

Compared with earlier readings it is up 3.5% on the previous year and up 31.7% over ten years.

Over the whole period, gross capital stocks (agriculture, forestry and fishing) — value in Australia peaked at 155,178 million SLC in 2016 and was at its lowest, 65,033 million SLC, in 1995.

Australia ranks 10th of 26 countries on this measure, in the middle of the range.

The long-run direction has been consistently rising across the 22 years of available data.

Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value in Australia, year by year

Annual values for Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Australia, 1995 to 2016.
Year million SLC Change
1995 65,033 million SLC
1996 68,086 million SLC +4.7%
1997 72,821 million SLC +7.0%
1998 75,205 million SLC +3.3%
1999 79,334 million SLC +5.5%
2000 83,057 million SLC +4.7%
2001 86,026 million SLC +3.6%
2002 88,650 million SLC +3.1%
2003 94,311 million SLC +6.4%
2004 101,544 million SLC +7.7%
2005 108,418 million SLC +6.8%
2006 117,815 million SLC +8.7%
2007 126,425 million SLC +7.3%
2008 131,254 million SLC +3.8%
2009 132,482 million SLC +0.9%
2010 134,031 million SLC +1.2%
2011 136,232 million SLC +1.6%
2012 139,306 million SLC +2.3%
2013 142,990 million SLC +2.6%
2014 147,045 million SLC +2.8%
2015 149,970 million SLC +2.0%
2016 155,178 million SLC +3.5%

Averages by decade

DecadeAverage LowestHighest Years
1990s 72,096 million SLC 65,033 million SLC 79,334 million SLC 5
2000s 106,998 million SLC 83,057 million SLC 132,482 million SLC 10
2010s 143,536 million SLC 134,031 million SLC 155,178 million SLC 7

Countries ranked near Australia

  1. 7 Poland 329,068 million SLC compare
  2. 8 France 253,235 million SLC compare
  3. 9 Canada 163,230 million SLC compare
  4. 11 Austria 122,832 million SLC compare
  5. 12 Netherlands (Kingdom of the) 113,667 million SLC compare
  6. 13 United Kingdom of Great Britain and Northern Ireland 102,510 million SLC compare

See the full ranking of 26 places →

More environment data for Australia

All data for Australia →

Frequently asked questions

What is gross capital stocks (agriculture, forestry and fishing) — value in Australia?
Gross capital stocks (agriculture, forestry and fishing) — value in Australia was 155,178 million SLC in 2016, according to Food and Agriculture Organization of the United Nations.
What is the highest gross capital stocks (agriculture, forestry and fishing) — value recorded in Australia?
The highest recorded value was 155,178 million SLC in 2016.
What is the lowest gross capital stocks (agriculture, forestry and fishing) — value recorded in Australia?
The lowest recorded value was 65,033 million SLC in 1995.
How does Australia rank for gross capital stocks (agriculture, forestry and fishing) — value?
Australia ranks 10th out of 26 countries with data for 2016.
Is gross capital stocks (agriculture, forestry and fishing) — value rising or falling in Australia?
Over the last ten years it is up 31.7%. The long-run trend across the full record is rising.
Where does this Australia data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency. Statizoid updates them automatically from the source API.

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Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value in Australia. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 11 September 2026, from https://environment.statizoid.com/stat/gross-capital-stocks-agriculture-forestry-and-fishing-value-standard-local-currency/australia/

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About this data

Indicator
Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
26 places, 670 data points, 1995–2022
Last refreshed

As part of the FAO Agriculture Capital Stock (ACS) database, the Statistics Division of FAO publishes country-by-country data on physical investment in agriculture, forestry and fishing as measured by the System of National Accounts (SNA) concept of Gross Fixed Capital Formation (GFCF). Additional variables included in the ACS are Net and Gross Capital Stock, Consumption of Fixed Capital, the Agriculture Investment ratio, and the Gross Fixed Capital Formation Agriculture Orientation Index. The FAO Agriculture Capital Stock Database is an analytical database: whenever available, the database integrates official National Accounts data harvested from the UNSD National Accounts Main Aggregates Database (UNSD AMA) and the OECD Annual National Accounts Database (OECD ANA). The database is further supplemented by OECD Structural Analysis database (OECD STAN) and, in a few cases, data from country’s statistics websites. If the full set of official data is not available for any specific country, imputation methods are applied to obtain estimates over the complete time series. Many data points in ACS are estimated and are flagged as such; they do not represent official submissions by Member Countries. With a view of producing internationally comparable net capital stock estimates, the Perpetual Inventory Method (PIM) with a constant geometric depreciation rate is employed to impute missing data. The Perpetual Inventory Method is a well-established economic model to calculate Net Capital Stocks (NCS) and Consumption of Fixed Capital (CFC) from time series of Gross Fixed Capital Formation (GFCF). Specifically, annual measures of the NCS are obtained from cumulating historical series on physical investment flows and deducting the part of assets that are depreciated (the Consumption of Fixed Capital that occurs in every period). In order to implement the PIM, long time series on aggregate GFCF in agriculture, forestry and fishing is required.An attempt is made to rely as much as possible on National Accounts data published by the OECD and UNSD. When country data are partially or fully missing, econometric techniques to impute missing observations are employed. Depending on the pattern of data missingness for the countries, different imputation methods are applied (from among the ARIMAX, PANEL regression, and OLS approaches) for the data series from 1995 to 2022. The values of Agriculture Capital Stock related indicators for 2023, including Agriculture Investment Ratio, Agriculture Orientation Index, Net Capital Stock, Gross Fixed Capital Formation and Consumption of Fixed Capital, are estimated using the Holt-Winters (HW) method (Cipra et al., 1995). The HW method is an exponential smoothing method for forecasting the annual values of economic variables. In this context, the HW method relies on existing (historical) values of the Agriculture Capital Stock. The predicted value is an extrapolation of the historical values to the specified target date, which extends the timeline without considering seasonality in the annual series.All data series in the database are provided both in national currencies and in US dollars as well as in current prices and constant prices with base year 2015.