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

Bulgaria: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value was 15,971 million SLC in 2023. ◆ Volatile

Latest (2023)
15,971 million SLC
Change on year
up 8.8%
World rank
114th
of 179 countries
All-time high
15,971 million SLC
in 2023
All-time low
84.81 million SLC
in 1995
Years of data
29
1995–2023

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

05.0k10.0k15.0k1995200920231995: 84.8 million SLC1996: 113.8 million SLC1997: 611.7 million SLC1998: 990.7 million SLC1999: 854.1 million SLC2000: 830.2 million SLC2001: 1.3k million SLC2002: 1.5k million SLC2003: 1.8k million SLC2004: 2.2k million SLC2005: 2.7k million SLC2006: 3.1k million SLC2007: 3.5k million SLC2008: 4.7k million SLC2009: 5.0k million SLC2010: 5.3k million SLC2011: 6.1k million SLC2012: 6.7k million SLC2013: 7.0k million SLC2014: 7.4k million SLC2015: 8.1k million SLC2016: 8.3k million SLC2017: 8.9k million SLC2018: 9.7k million SLC2019: 10.3k million SLC2020: 10.6k million SLC2021: 11.7k million SLC2022: 14.7k million SLC2023: 16.0k million SLC

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

Analysis

Bulgaria recorded 15,971 million SLC for net capital stocks (agriculture, forestry and fishing) — value in 2023. That is the highest value across all 29 years on record.

Compared with earlier readings it is up 8.8% on the previous year and up 129.6% over ten years.

Over the whole period, net capital stocks (agriculture, forestry and fishing) — value in Bulgaria peaked at 15,971 million SLC in 2023 and was at its lowest, 84.81 million SLC, in 1995.

That places Bulgaria 114th out of 179 countries with data for 2023, putting it in the middle of the range.

The series is highly variable year to year, so single readings are best treated with caution.

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

Annual values for Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Bulgaria, 1995 to 2023.
Year million SLC Change
1995 84.81 million SLC
1996 113.83 million SLC +34.2%
1997 611.71 million SLC +437.4%
1998 990.69 million SLC +62.0%
1999 854.14 million SLC -13.8%
2000 830.22 million SLC -2.8%
2001 1,312 million SLC +58.0%
2002 1,492 million SLC +13.8%
2003 1,762 million SLC +18.1%
2004 2,223 million SLC +26.2%
2005 2,674 million SLC +20.3%
2006 3,077 million SLC +15.1%
2007 3,548 million SLC +15.3%
2008 4,652 million SLC +31.1%
2009 5,043 million SLC +8.4%
2010 5,282 million SLC +4.7%
2011 6,147 million SLC +16.4%
2012 6,659 million SLC +8.3%
2013 6,956 million SLC +4.5%
2014 7,373 million SLC +6.0%
2015 8,141 million SLC +10.4%
2016 8,292 million SLC +1.9%
2017 8,906 million SLC +7.4%
2018 9,708 million SLC +9.0%
2019 10,281 million SLC +5.9%
2020 10,624 million SLC +3.3%
2021 11,716 million SLC +10.3%
2022 14,679 million SLC +25.3%
2023 15,971 million SLC +8.8%

Averages by decade

DecadeAverage LowestHighest Years
1990s 531.04 million SLC 84.81 million SLC 990.69 million SLC 5
2000s 2,661 million SLC 830.22 million SLC 5,043 million SLC 10
2010s 7,775 million SLC 5,282 million SLC 10,281 million SLC 10
2020s 13,248 million SLC 10,624 million SLC 15,971 million SLC 4

Countries ranked near Bulgaria

  1. 111 Greece 18,267 million SLC compare
  2. 112 United Arab Emirates 16,745 million SLC compare
  3. 113 Gambia 16,222 million SLC compare
  4. 115 Sierra Leone 15,598 million SLC compare
  5. 116 Ireland 15,075 million SLC compare
  6. 117 Belgium 14,874 million SLC compare

See the full ranking of 192 places →

More environment data for Bulgaria

All data for Bulgaria →

Frequently asked questions

What is net capital stocks (agriculture, forestry and fishing) — value in Bulgaria?
Net capital stocks (agriculture, forestry and fishing) — value in Bulgaria was 15,971 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 Bulgaria?
The highest recorded value was 15,971 million SLC in 2023.
What is the lowest net capital stocks (agriculture, forestry and fishing) — value recorded in Bulgaria?
The lowest recorded value was 84.81 million SLC in 1995.
How does Bulgaria rank for net capital stocks (agriculture, forestry and fishing) — value?
Bulgaria ranks 114th out of 179 countries with data for 2023.
Is net capital stocks (agriculture, forestry and fishing) — value rising or falling in Bulgaria?
Over the last ten years it is up 129.6%. The long-run trend across the full record is volatile.
Where does this Bulgaria 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. Statizoid updates them automatically from the source API.

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Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Bulgaria. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 10 September 2026, from https://environment.statizoid.com/stat/net-capital-stocks-agriculture-forestry-and-fishing-value-standard-local-currency/bulgaria/

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About this data

Indicator
Net 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
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.