Value Added Deflator … Agriculture forestry fishery Standard Local in Hungary
Hungary: Value Added Deflator … Agriculture forestry fishery Standard Local was 152.85 SLC in 2024. ◆ Volatile
Value Added Deflator (Agriculture, forestry and fishery) — Value in Hungary, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in SLC.
Analysis
The most recent figure for value added deflator (agriculture, forestry and fishery) — value in Hungary is 152.85 SLC, measured in 2024.
Compared with earlier readings it is down 1.8% on the previous year and up 57.2% over ten years.
Over the whole period, value added deflator (agriculture, forestry and fishery) — value in Hungary peaked at 210.37 SLC in 2022 and was at its lowest, 6.53 SLC, in 1970.
That places Hungary 92nd out of 206 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 Deflator … Agriculture forestry fishery Standard Local in Hungary, year by year
| Year | SLC | Change |
|---|---|---|
| 1970 | 6.53 SLC | — |
| 1971 | 6.99 SLC | +7.0% |
| 1972 | 6.96 SLC | -0.4% |
| 1973 | 7.68 SLC | +10.3% |
| 1974 | 7.68 SLC | +0.0% |
| 1975 | 7.63 SLC | -0.7% |
| 1976 | 8.62 SLC | +13.0% |
| 1977 | 8.41 SLC | -2.4% |
| 1978 | 8.58 SLC | +2.0% |
| 1979 | 8.82 SLC | +2.8% |
| 1980 | 9.72 SLC | +10.1% |
| 1981 | 10.49 SLC | +7.9% |
| 1982 | 10.36 SLC | -1.2% |
| 1983 | 10.66 SLC | +2.9% |
| 1984 | 11.07 SLC | +3.8% |
| 1985 | 11.58 SLC | +4.6% |
| 1986 | 12.25 SLC | +5.8% |
| 1987 | 13.09 SLC | +6.8% |
| 1988 | 13.44 SLC | +2.6% |
| 1989 | 15.29 SLC | +13.8% |
| 1990 | 17.76 SLC | +16.2% |
| 1991 | 17.08 SLC | -3.8% |
| 1992 | 19.92 SLC | +16.6% |
| 1993 | 23.48 SLC | +17.9% |
| 1994 | 30.01 SLC | +27.8% |
| 1995 | 39.81 SLC | +32.6% |
| 1996 | 47.07 SLC | +18.2% |
| 1997 | 53.04 SLC | +12.7% |
| 1998 | 57.22 SLC | +7.9% |
| 1999 | 54.77 SLC | -4.3% |
| 2000 | 64.79 SLC | +18.3% |
| 2001 | 66.08 SLC | +2.0% |
| 2002 | 76.78 SLC | +16.2% |
| 2003 | 75.24 SLC | -2.0% |
| 2004 | 61.7 SLC | -18.0% |
| 2005 | 59.92 SLC | -2.9% |
| 2006 | 65.51 SLC | +9.3% |
| 2007 | 85.41 SLC | +30.4% |
| 2008 | 58.01 SLC | -32.1% |
| 2009 | 56.22 SLC | -3.1% |
| 2010 | 75.15 SLC | +33.7% |
| 2011 | 88.45 SLC | +17.7% |
| 2012 | 111.68 SLC | +26.3% |
| 2013 | 102.91 SLC | -7.8% |
| 2014 | 97.24 SLC | -5.5% |
| 2015 | 100 SLC | +2.8% |
| 2016 | 94.41 SLC | -5.6% |
| 2017 | 105.92 SLC | +12.2% |
| 2018 | 103.28 SLC | -2.5% |
| 2019 | 110.64 SLC | +7.1% |
| 2020 | 124.3 SLC | +12.3% |
| 2021 | 143.25 SLC | +15.2% |
| 2022 | 210.37 SLC | +46.9% |
| 2023 | 155.65 SLC | -26.0% |
| 2024 | 152.85 SLC | -1.8% |
Hungary compared with similar countries
- Hungary's 152.85 SLC is above the median for high income countries, which is 133.56 SLC, 1.1× the median. (66 countries reporting)
- Hungary's 152.85 SLC is above the median for Europe & Central Asia, which is 142.73 SLC, 1.1× the median. (47 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 7.79 SLC | 6.53 SLC | 8.82 SLC | 10 |
| 1980s | 11.8 SLC | 9.72 SLC | 15.29 SLC | 10 |
| 1990s | 36.02 SLC | 17.08 SLC | 57.22 SLC | 10 |
| 2000s | 66.97 SLC | 56.22 SLC | 85.41 SLC | 10 |
| 2010s | 98.97 SLC | 75.15 SLC | 111.68 SLC | 10 |
| 2020s | 157.29 SLC | 124.3 SLC | 210.37 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)
- Sawnwood, coniferous — Production, annual growth rate 38.17 % change on previous year (2024)
- Wood-based panels — Production, annual growth rate 3.71 % change on previous year (2024)
- Total greenhouse gas emissions excluding LULUCF (Mt CO2e), annual -0.8159 % change on previous year (2024)
- Total greenhouse gas emissions excluding LULUCF (Mt CO2e), per unit 0 Mt CO2e per US$ of GDP (2024)
- Total greenhouse gas emissions excluding LULUCF (Mt CO2e), per capita 0 Mt CO2e per person (2024)
Frequently asked questions
- What is value added deflator (agriculture, forestry and fishery) — value in Hungary?
- Value added deflator (agriculture, forestry and fishery) — value in Hungary was 152.85 SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added deflator (agriculture, forestry and fishery) — value recorded in Hungary?
- The highest recorded value was 210.37 SLC in 2022.
- What is the lowest value added deflator (agriculture, forestry and fishery) — value recorded in Hungary?
- The lowest recorded value was 6.53 SLC in 1970.
- How does Hungary rank for value added deflator (agriculture, forestry and fishery) — value?
- Hungary ranks 92nd out of 206 countries with data for 2024.
- Is value added deflator (agriculture, forestry and fishery) — value rising or falling in Hungary?
- Over the last ten years it is up 57.2%. 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 Deflator (Agriculture, forestry and fishery) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 55 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
The FAOSTAT Deflators database provides the following selection of price deflator series by country and at regional level: Gross Domestic Product deflator, Gross Fixed Capital Formation deflator, Manufacturing Value-Added deflator, and Agriculture, Forestry, Fishery Valued-Added deflator. In the FAOSTAT Deflators database, all series are derived from the United Nations Statistics Division (UNSD) National Accounts Analysis of Main Aggregates database (UNSD AMA). In particular, the implicit Gross Domestic Product deflator, the implicit Gross Fixed Capital Formation deflator, the implicit value added deflator of Agriculture, Forestry, Fishery and the implicit value added deflator of Manufacturing are obtained by dividing the series in current prices by those in constant 2015 prices (base year).