Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Poland

Poland: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value was 90,329 million SLC in 2023. ▼ Falling

Latest (2023)
90,329 million SLC
Change on year
up 4.7%
World rank
79th
of 179 countries
All-time high
107,351 million SLC
in 1995
All-time low
76,689 million SLC
in 2006
Years of data
29
1995–2023

Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Poland, 1995–2023

025.0k50.0k75.0k100.0k1995200920231995: 107.4k million SLC1996: 104.2k million SLC1997: 101.7k million SLC1998: 99.4k million SLC1999: 97.6k million SLC2000: 87.3k million SLC2001: 85.3k million SLC2002: 85.4k million SLC2003: 81.5k million SLC2004: 79.3k million SLC2005: 78.0k million SLC2006: 76.7k million SLC2007: 83.8k million SLC2008: 84.7k million SLC2009: 80.7k million SLC2010: 80.3k million SLC2011: 79.8k million SLC2012: 80.6k million SLC2013: 80.8k million SLC2014: 83.0k million SLC2015: 84.9k million SLC2016: 82.1k million SLC2017: 80.2k million SLC2018: 80.2k million SLC2019: 78.9k million SLC2020: 78.2k million SLC2021: 81.0k million SLC2022: 86.3k million SLC2023: 90.3k million SLC

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

Analysis

In 2023, net capital stocks (agriculture, forestry and fishing) — value in Poland stood at 90,329 million SLC.

The figure is up 4.7% on the previous year and up 11.7% over ten years.

Over the whole period, net capital stocks (agriculture, forestry and fishing) — value in Poland peaked at 107,351 million SLC in 1995 and was at its lowest, 76,689 million SLC, in 2006.

Poland ranks 79th of 179 countries on this measure, in the middle of the range.

The long-run direction has been consistently falling across the 29 years of available data.

Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Poland, year by year

Annual values for Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices in Poland, 1995 to 2023.
Year million SLC Change
1995 107,351 million SLC
1996 104,195 million SLC -2.9%
1997 101,743 million SLC -2.4%
1998 99,355 million SLC -2.3%
1999 97,582 million SLC -1.8%
2000 87,291 million SLC -10.5%
2001 85,305 million SLC -2.3%
2002 85,448 million SLC +0.2%
2003 81,459 million SLC -4.7%
2004 79,278 million SLC -2.7%
2005 78,018 million SLC -1.6%
2006 76,689 million SLC -1.7%
2007 83,764 million SLC +9.2%
2008 84,745 million SLC +1.2%
2009 80,704 million SLC -4.8%
2010 80,328 million SLC -0.5%
2011 79,806 million SLC -0.6%
2012 80,639 million SLC +1.0%
2013 80,844 million SLC +0.3%
2014 82,997 million SLC +2.7%
2015 84,904 million SLC +2.3%
2016 82,070 million SLC -3.3%
2017 80,171 million SLC -2.3%
2018 80,222 million SLC +0.1%
2019 78,863 million SLC -1.7%
2020 78,206 million SLC -0.8%
2021 80,950 million SLC +3.5%
2022 86,295 million SLC +6.6%
2023 90,329 million SLC +4.7%

Averages by decade

DecadeAverage LowestHighest Years
1990s 102,045 million SLC 97,582 million SLC 107,351 million SLC 5
2000s 82,270 million SLC 76,689 million SLC 87,291 million SLC 10
2010s 81,084 million SLC 78,863 million SLC 84,904 million SLC 10
2020s 83,945 million SLC 78,206 million SLC 90,329 million SLC 4

Countries ranked near Poland

  1. 76 Dominican Republic 118,300 million SLC compare
  2. 77 France 115,312 million SLC compare
  3. 78 Kyrgyzstan 106,319 million SLC compare
  4. 80 Guatemala 83,727 million SLC compare
  5. 81 Jamaica 82,488 million SLC compare
  6. 82 Saudi Arabia 82,196 million SLC compare

See the full ranking of 192 places →

More environment data for Poland

All data for Poland →

Frequently asked questions

What is net capital stocks (agriculture, forestry and fishing) — value in Poland?
Net capital stocks (agriculture, forestry and fishing) — value in Poland was 90,329 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest net capital stocks (agriculture, forestry and fishing) — value recorded in Poland?
The highest recorded value was 107,351 million SLC in 1995.
What is the lowest net capital stocks (agriculture, forestry and fishing) — value recorded in Poland?
The lowest recorded value was 76,689 million SLC in 2006.
How does Poland rank for net capital stocks (agriculture, forestry and fishing) — value?
Poland ranks 79th out of 179 countries with data for 2023.
Is net capital stocks (agriculture, forestry and fishing) — value rising or falling in Poland?
Over the last ten years it is up 11.7%. The long-run trend across the full record is falling.
Where does this Poland data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.

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Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Poland. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 11 September 2026, from https://environment.statizoid.com/stat/net-capital-stocks-agriculture-forestry-and-fishing-value-standard-local-currency-2015/poland/

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About this data

Indicator
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
192 places, 5,493 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.