Value Added (Agriculture, Forestry and Fishing) — Value Standard in Hungary
Hungary: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 1.85 million million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Hungary, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Hungary recorded 1.85 million million SLC for value added (agriculture, forestry and fishing) — value standard in 2024.
The figure is down 11.8% on the previous year and up 42.9% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Hungary peaked at 2.10 million million SLC in 2023 and was at its lowest, 59,839 million SLC, in 1970.
Hungary ranks 44th of 199 countries on this measure, in the top quarter.
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 Hungary, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 59,839 million SLC | — |
| 1971 | 68,273 million SLC | +14.1% |
| 1972 | 69,844 million SLC | +2.3% |
| 1973 | 81,258 million SLC | +16.3% |
| 1974 | 83,712 million SLC | +3.0% |
| 1975 | 85,080 million SLC | +1.6% |
| 1976 | 92,158 million SLC | +8.3% |
| 1977 | 102,570 million SLC | +11.3% |
| 1978 | 104,814 million SLC | +2.2% |
| 1979 | 105,748 million SLC | +0.9% |
| 1980 | 122,021 million SLC | +15.4% |
| 1981 | 136,109 million SLC | +11.5% |
| 1982 | 150,179 million SLC | +10.3% |
| 1983 | 154,662 million SLC | +3.0% |
| 1984 | 168,029 million SLC | +8.6% |
| 1985 | 168,555 million SLC | +0.3% |
| 1986 | 184,640 million SLC | +9.5% |
| 1987 | 191,369 million SLC | +3.6% |
| 1988 | 211,830 million SLC | +10.7% |
| 1989 | 238,197 million SLC | +12.4% |
| 1990 | 263,788 million SLC | +10.7% |
| 1991 | 232,846 million SLC | -11.7% |
| 1992 | 226,570 million SLC | -2.7% |
| 1993 | 245,920 million SLC | +8.5% |
| 1994 | 312,951 million SLC | +27.3% |
| 1995 | 426,297 million SLC | +36.2% |
| 1996 | 528,467 million SLC | +24.0% |
| 1997 | 575,288 million SLC | +8.9% |
| 1998 | 645,736 million SLC | +12.2% |
| 1999 | 634,857 million SLC | -1.7% |
| 2000 | 675,786 million SLC | +6.4% |
| 2001 | 775,192 million SLC | +14.7% |
| 2002 | 762,136 million SLC | -1.7% |
| 2003 | 746,442 million SLC | -2.1% |
| 2004 | 918,799 million SLC | +23.1% |
| 2005 | 840,855 million SLC | -8.5% |
| 2006 | 860,692 million SLC | +2.4% |
| 2007 | 897,437 million SLC | +4.3% |
| 2008 | 947,211 million SLC | +5.5% |
| 2009 | 792,784 million SLC | -16.3% |
| 2010 | 824,777 million SLC | +4.0% |
| 2011 | 1.13 million million SLC | +37.2% |
| 2012 | 1.12 million million SLC | -0.7% |
| 2013 | 1.19 million million SLC | +5.8% |
| 2014 | 1.30 million million SLC | +8.8% |
| 2015 | 1.32 million million SLC | +1.6% |
| 2016 | 1.40 million million SLC | +6.7% |
| 2017 | 1.47 million million SLC | +5.0% |
| 2018 | 1.51 million million SLC | +2.5% |
| 2019 | 1.59 million million SLC | +5.4% |
| 2020 | 1.64 million million SLC | +3.0% |
| 2021 | 1.92 million million SLC | +17.1% |
| 2022 | 2.07 million million SLC | +7.9% |
| 2023 | 2.10 million million SLC | +1.3% |
| 2024 | 1.85 million million SLC | -11.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 85,330 million SLC | 59,839 million SLC | 105,748 million SLC | 10 |
| 1980s | 172,559 million SLC | 122,021 million SLC | 238,197 million SLC | 10 |
| 1990s | 409,272 million SLC | 226,570 million SLC | 645,736 million SLC | 10 |
| 2000s | 821,733 million SLC | 675,786 million SLC | 947,211 million SLC | 10 |
| 2010s | 1.29 million million SLC | 824,777 million SLC | 1.59 million million SLC | 10 |
| 2020s | 1.92 million million SLC | 1.64 million million SLC | 2.10 million million SLC | 5 |
Countries ranked near Hungary
More environment data for Hungary
- Historical exposure to drought — Land soil moisture anomaly -5.55 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -5.61 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.63 °C (2025)
- Temperature change 2.01 °C (2025)
- Graphic papers — Import quantity, annual growth rate 10.3 % change on previous year (2024)
- Graphic papers — Import quantity, per unit of GDP 0 t per US$ of GDP (2024)
- Graphic papers — Import quantity, per capita 0.024 t per person (2024)
- Graphic papers — Import value, annual growth rate -1.61 % change on previous year (2024)
- Graphic papers — 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 Hungary?
- Value added (agriculture, forestry and fishing) — value standard in Hungary was 1.85 million 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 Hungary?
- The highest recorded value was 2.10 million million SLC in 2023.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Hungary?
- The lowest recorded value was 59,839 million SLC in 1970.
- How does Hungary rank for value added (agriculture, forestry and fishing) — value standard?
- Hungary ranks 44th out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Hungary?
- Over the last ten years it is up 42.9%. The long-run trend across the full record is volatile.
- Where does this Hungary 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.
Download this data
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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).