Austria vs Land Locked Developing Countries (LLDCs): Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$

Austria
70,113 million USD
in 2023
Land Locked Developing Countries (LLDCs)
132,464 million USD
in 2023
Austria rank
18th
Land Locked Developing Countries (LLDCs) rank
21st

Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$ over time

  • Austria
  • Land Locked Developing Countries (LLDCs)
25.0k50.0k75.0k100.0k125.0k199520092023

How they compare

Land Locked Developing Countries (LLDCs) currently reports 132,464 million USD against 70,113 million USD in Austria, a difference of 62,351 million USD.

That makes Land Locked Developing Countries (LLDCs)'s figure about 1.9 times Austria's.

The two have swapped places 3 times across 29 shared years of data; in 1995 it was Austria ahead.

Austria ranks 18th and Land Locked Developing Countries (LLDCs) ranks 21st of 180 countries.

Across the 4 decades both report, Austria averaged higher in 1 and Land Locked Developing Countries (LLDCs) in 3.

Head to head by decade

Decade Austria Land Locked Developing Countries (LLDCs) Difference Ahead
1990s 30,824 million USD 30,013 million USD 810.52 million USD Austria
2000s 39,447 million USD 46,989 million USD 7,542 million USD Land Locked Developing Countries (LLDCs)
2010s 56,106 million USD 91,560 million USD 35,454 million USD Land Locked Developing Countries (LLDCs)
2020s 67,887 million USD 119,408 million USD 51,521 million USD Land Locked Developing Countries (LLDCs)

Averages of every year both report within each decade.

Frequently asked questions

Which has higher net capital stocks (agriculture, forestry and fishing) — value us$, Austria or Land Locked Developing Countries (LLDCs)?
Land Locked Developing Countries (LLDCs), at 132,464 million USD against 70,113 million USD in Austria as of 2023.
What is the difference in net capital stocks (agriculture, forestry and fishing) — value us$ between Austria and Land Locked Developing Countries (LLDCs)?
62,351 million USD, with Land Locked Developing Countries (LLDCs) ahead.
How many years of comparable data are there for Austria and Land Locked Developing Countries (LLDCs)?
29 years are reported by both, from 1995 to 2023.
How do Austria and Land Locked Developing Countries (LLDCs) rank globally for net capital stocks (agriculture, forestry and fishing) — value us$?
Austria ranks 18th and Land Locked Developing Countries (LLDCs) ranks 21st of 180 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Austria vs Land Locked Developing Countries (LLDCs): Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 28 August 2026, from https://environment.statizoid.com/compare/net-capital-stocks-agriculture-forestry-and-fishing-value-us/austria/land-locked-developing-countries-lldcs/

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About this data

Indicator
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$
Unit
million USD
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
226 places, 6,479 data points, 1995–2023
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.