Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Bulgaria

Bulgaria: Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) was 1,400 million SLC in 2023. ▲ Rising

Latest (2023)
1,400 million SLC
Change on year
up 15.8%
World rank
110th
of 181 countries
All-time high
1,400 million SLC
in 2023
All-time low
133.45 million SLC
in 1996
Years of data
29
1995–2023

Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Bulgaria, 1995–2023

05001.0k1.5k1995200920231995: 413.2 million SLC1996: 133.4 million SLC1997: 334.4 million SLC1998: 443.4 million SLC1999: 450 million SLC2000: 334.2 million SLC2001: 822 million SLC2002: 423.3 million SLC2003: 613.9 million SLC2004: 786.4 million SLC2005: 527.1 million SLC2006: 474.7 million SLC2007: 514.4 million SLC2008: 1.1k million SLC2009: 664.3 million SLC2010: 769.8 million SLC2011: 1.1k million SLC2012: 1.1k million SLC2013: 1.1k million SLC2014: 1.3k million SLC2015: 1.4k million SLC2016: 992 million SLC2017: 1.2k million SLC2018: 1.3k million SLC2019: 1.0k million SLC2020: 966.3 million SLC2021: 976 million SLC2022: 1.2k million SLC2023: 1.4k million SLC

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

Analysis

The most recent figure for gross fixed capital formation (agriculture, forestry and fishing) in Bulgaria is 1,400 million SLC, measured in 2023. That is the highest value across all 29 years on record.

The figure is up 15.8% on the previous year and up 33.0% over ten years.

Over the whole period, gross fixed capital formation (agriculture, forestry and fishing) in Bulgaria peaked at 1,400 million SLC in 2023 and was at its lowest, 133.45 million SLC, in 1996.

Bulgaria ranks 110th of 181 countries on this measure, in the middle of the range.

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

Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Bulgaria, year by year

Annual values for Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices in Bulgaria, 1995 to 2023.
Year million SLC Change
1995 413.15 million SLC
1996 133.45 million SLC -67.7%
1997 334.35 million SLC +150.5%
1998 443.4 million SLC +32.6%
1999 450 million SLC +1.5%
2000 334.22 million SLC -25.7%
2001 821.99 million SLC +145.9%
2002 423.31 million SLC -48.5%
2003 613.88 million SLC +45.0%
2004 786.43 million SLC +28.1%
2005 527.06 million SLC -33.0%
2006 474.69 million SLC -9.9%
2007 514.41 million SLC +8.4%
2008 1,118 million SLC +117.4%
2009 664.33 million SLC -40.6%
2010 769.78 million SLC +15.9%
2011 1,084 million SLC +40.8%
2012 1,053 million SLC -2.9%
2013 1,052 million SLC -0.1%
2014 1,308 million SLC +24.3%
2015 1,384 million SLC +5.8%
2016 992.03 million SLC -28.3%
2017 1,166 million SLC +17.6%
2018 1,270 million SLC +8.9%
2019 1,014 million SLC -20.1%
2020 966.27 million SLC -4.7%
2021 976.01 million SLC +1.0%
2022 1,209 million SLC +23.9%
2023 1,400 million SLC +15.8%

Averages by decade

DecadeAverage LowestHighest Years
1990s 354.87 million SLC 133.45 million SLC 450 million SLC 5
2000s 627.84 million SLC 334.22 million SLC 1,118 million SLC 10
2010s 1,109 million SLC 769.78 million SLC 1,384 million SLC 10
2020s 1,138 million SLC 966.27 million SLC 1,400 million SLC 4

Countries ranked near Bulgaria

  1. 107 Ireland 1,740 million SLC compare
  2. 108 Belgium 1,697 million SLC compare
  3. 109 United Arab Emirates 1,585 million SLC compare
  4. 111 Mauritius 1,367 million SLC compare
  5. 112 Papua New Guinea 1,205 million SLC compare
  6. 113 Zambia 1,124 million SLC compare

See the full ranking of 194 places →

More environment data for Bulgaria

All data for Bulgaria →

Frequently asked questions

What is gross fixed capital formation (agriculture, forestry and fishing) in Bulgaria?
Gross fixed capital formation (agriculture, forestry and fishing) in Bulgaria was 1,400 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest gross fixed capital formation (agriculture, forestry and fishing) recorded in Bulgaria?
The highest recorded value was 1,400 million SLC in 2023.
What is the lowest gross fixed capital formation (agriculture, forestry and fishing) recorded in Bulgaria?
The lowest recorded value was 133.45 million SLC in 1996.
How does Bulgaria rank for gross fixed capital formation (agriculture, forestry and fishing)?
Bulgaria ranks 110th out of 181 countries with data for 2023.
Is gross fixed capital formation (agriculture, forestry and fishing) rising or falling in Bulgaria?
Over the last ten years it is up 33.0%. The long-run trend across the full record is rising.
Where does this Bulgaria data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.

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Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Bulgaria. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 02 September 2026, from https://environment.statizoid.com/stat/gross-fixed-capital-formation-agriculture-forestry-and-fishing-value-standard-local-2/bulgaria/

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About this data

Indicator
Gross Fixed Capital Formation (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
194 places, 5,526 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.