Value Added (Agriculture, Forestry and Fishing) — Value Standard in Bulgaria
Bulgaria: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 4,190 million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Bulgaria, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
The most recent figure for value added (agriculture, forestry and fishing) — value standard in Bulgaria is 4,190 million SLC, measured in 2024.
That represents a change of down 10.2% on the previous year and up 9.2% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Bulgaria peaked at 6,248 million SLC in 2022 and was at its lowest, 1.7 million SLC, in 1971.
That places Bulgaria 139th out of 199 countries with data for 2024, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Bulgaria, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 1.73 million SLC | — |
| 1971 | 1.7 million SLC | -1.2% |
| 1972 | 1.84 million SLC | +8.0% |
| 1973 | 1.99 million SLC | +8.3% |
| 1974 | 2.14 million SLC | +7.3% |
| 1975 | 2.34 million SLC | +9.4% |
| 1976 | 2.5 million SLC | +6.8% |
| 1977 | 2.5 million SLC | +0.1% |
| 1978 | 3.09 million SLC | +23.4% |
| 1979 | 3.71 million SLC | +20.1% |
| 1980 | 3.9 million SLC | +5.2% |
| 1981 | 4.85 million SLC | +24.4% |
| 1982 | 5.23 million SLC | +7.8% |
| 1983 | 4.53 million SLC | -13.4% |
| 1984 | 5.25 million SLC | +16.0% |
| 1985 | 4.06 million SLC | -22.8% |
| 1986 | 4.67 million SLC | +15.0% |
| 1987 | 4.52 million SLC | -3.1% |
| 1988 | 4.61 million SLC | +2.0% |
| 1989 | 4.54 million SLC | -1.4% |
| 1990 | 8.73 million SLC | +92.0% |
| 1991 | 21.91 million SLC | +151.1% |
| 1992 | 24.48 million SLC | +11.7% |
| 1993 | 31.16 million SLC | +27.3% |
| 1994 | 63.36 million SLC | +103.4% |
| 1995 | 117.6 million SLC | +85.6% |
| 1996 | 209.8 million SLC | +78.4% |
| 1997 | 3,897 million SLC | +1757.6% |
| 1998 | 3,549 million SLC | -8.9% |
| 1999 | 3,245 million SLC | -8.6% |
| 2000 | 3,085 million SLC | -4.9% |
| 2001 | 3,286 million SLC | +6.5% |
| 2002 | 3,308 million SLC | +0.7% |
| 2003 | 3,332 million SLC | +0.7% |
| 2004 | 3,482 million SLC | +4.5% |
| 2005 | 3,425 million SLC | -1.7% |
| 2006 | 3,268 million SLC | -4.6% |
| 2007 | 2,954 million SLC | -9.6% |
| 2008 | 4,276 million SLC | +44.8% |
| 2009 | 3,100 million SLC | -27.5% |
| 2010 | 3,020 million SLC | -2.6% |
| 2011 | 3,782 million SLC | +25.2% |
| 2012 | 3,661 million SLC | -3.2% |
| 2013 | 3,714 million SLC | +1.4% |
| 2014 | 3,836 million SLC | +3.3% |
| 2015 | 3,638 million SLC | -5.2% |
| 2016 | 3,866 million SLC | +6.3% |
| 2017 | 4,152 million SLC | +7.4% |
| 2018 | 3,729 million SLC | -10.2% |
| 2019 | 3,832 million SLC | +2.8% |
| 2020 | 4,157 million SLC | +8.5% |
| 2021 | 6,040 million SLC | +45.3% |
| 2022 | 6,248 million SLC | +3.4% |
| 2023 | 4,663 million SLC | -25.4% |
| 2024 | 4,190 million SLC | -10.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 2.35 million SLC | 1.7 million SLC | 3.71 million SLC | 10 |
| 1980s | 4.62 million SLC | 3.9 million SLC | 5.25 million SLC | 10 |
| 1990s | 1,117 million SLC | 8.73 million SLC | 3,897 million SLC | 10 |
| 2000s | 3,352 million SLC | 2,954 million SLC | 4,276 million SLC | 10 |
| 2010s | 3,723 million SLC | 3,020 million SLC | 4,152 million SLC | 10 |
| 2020s | 5,060 million SLC | 4,157 million SLC | 6,248 million SLC | 5 |
Countries ranked near Bulgaria
More environment data for Bulgaria
- Historical exposure to drought — Land soil moisture anomaly -1.39 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -1.52 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.573 °C (2025)
- Temperature change 2.18 °C (2025)
- Paper and paperboard — Import quantity, annual growth rate 10.24 % change on previous year (2024)
- Paper and paperboard — Import quantity, per unit of GDP 0 t per US$ of GDP (2024)
- Paper and paperboard — Import quantity, per capita 0.0638 t per person (2024)
- Paper and paperboard — Import value, annual growth rate 1.47 % change on previous year (2024)
- Paper and paperboard — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Bulgaria?
- Value added (agriculture, forestry and fishing) — value standard in Bulgaria was 4,190 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value standard recorded in Bulgaria?
- The highest recorded value was 6,248 million SLC in 2022.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Bulgaria?
- The lowest recorded value was 1.7 million SLC in 1971.
- How does Bulgaria rank for value added (agriculture, forestry and fishing) — value standard?
- Bulgaria ranks 139th out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Bulgaria?
- Over the last ten years it is up 9.2%. 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 Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency. Statizoid updates them automatically from the source API.
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About this data
The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).