Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry in Hungary
Hungary: Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry was -6,461 million LCU in 2015. ▼ Falling
Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry in Hungary, 2005–2015
Source: Food and Agriculture Organization of the United Nations. Measured in million LCU.
Analysis
The most recent figure for food and accommodation away from home (faafh) — agriculture, forestry in Hungary is -6,461 million LCU, measured in 2015. That is the lowest value across all 11 years on record.
Compared with earlier readings it is down 4.3% on the previous year and down 540.1% over ten years.
Over the whole period, food and accommodation away from home (faafh) — agriculture, forestry in Hungary peaked at -1,009 million LCU in 2005 and was at its lowest, -6,461 million LCU, in 2015.
Hungary ranks 63rd of 63 countries on this measure, in the bottom quarter.
The long-run direction has been consistently falling across the 11 years of available data.
Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry in Hungary, year by year
| Year | million LCU | Change |
|---|---|---|
| 2005 | -1,009 million LCU | — |
| 2006 | -1,745 million LCU | +72.9% |
| 2007 | -1,493 million LCU | -14.5% |
| 2008 | -3,224 million LCU | +116.0% |
| 2009 | -3,249 million LCU | +0.8% |
| 2010 | -3,131 million LCU | -3.6% |
| 2011 | -4,978 million LCU | +59.0% |
| 2012 | -4,485 million LCU | -9.9% |
| 2013 | -5,669 million LCU | +26.4% |
| 2014 | -6,197 million LCU | +9.3% |
| 2015 | -6,461 million LCU | +4.3% |
Hungary compared with similar countries
- Hungary's -6,461 million LCU is below the median for high income countries, which is -1.39 million LCU, 4637.4× the median. (38 countries reporting)
- Hungary's -6,461 million LCU is below the median for Europe & Central Asia, which is -3.73 million LCU, 1732.1× the median. (29 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | -2,144 million LCU | -3,249 million LCU | -1,009 million LCU | 5 |
| 2010s | -5,153 million LCU | -6,461 million LCU | -3,131 million LCU | 6 |
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)
- Nutrient potash K2O (total) — Agricultural Use, gaps filled 70,236 t (2024)
- Nutrient potash K2O (total) — Agricultural Use, annual growth rate 37.05 % change on previous year (2024)
- Country area — Area, annual growth rate 0 % change on previous year (2024)
- Country area — Area, per unit of GDP 0 1000 ha per US$ of GDP (2024)
- Country area — Area, per capita 0.001 1000 ha per person (2024)
Frequently asked questions
- What is food and accommodation away from home (faafh) — agriculture, forestry in Hungary?
- Food and accommodation away from home (faafh) — agriculture, forestry in Hungary was -6,461 million LCU in 2015, according to Food and Agriculture Organization of the United Nations.
- What is the highest food and accommodation away from home (faafh) — agriculture, forestry recorded in Hungary?
- The highest recorded value was -1,009 million LCU in 2005.
- What is the lowest food and accommodation away from home (faafh) — agriculture, forestry recorded in Hungary?
- The lowest recorded value was -6,461 million LCU in 2015.
- How does Hungary rank for food and accommodation away from home (faafh) — agriculture, forestry?
- Hungary ranks 63rd out of 63 countries with data for 2015.
- Is food and accommodation away from home (faafh) — agriculture, forestry rising or falling in Hungary?
- Over the last ten years it is down 540.1%. The long-run trend across the full record is falling.
- Where does this Hungary data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry and Fishing — Taxes — Value Local Currency. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 11 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
This domain contains data on three food value measures, namely: (1) Food At Home (FAH); (2) Food and Tobacco at Home (FTAH); (3) Food and Accommodation Away From Home (FAAFH), disaggregated by four primary factors (Operating Surplus, Labor, Taxes, Imports) and by five food value chain industries (Agriculture, Forestry and Fishing; Manufacture of food, beverages and tobacco products; Transportation and storage; Wholesale and retail trade; Accommodation and food service activities). The three food value measures differ for the bundle of goods and services they account for. In particular, the FAH refers to domestic expenditures of personal consumption for food consumed at home, at purchaser prices. The FTAH measure is similar in its target, but it refers to a broader set of economic goods, inclusive of tobacco, as food and tobacco expenditures are not always separable in the original data. On the other side, the FAAFH refers to domestic expenditures of personal consumption for food consumed away from home (e.g. in restaurants), at purchaser prices, and it also includes expenditures for accommodation in all the cases where the two types of expenditures were not separable in the original data. The values of industry decomposition measure the food production value-added distribution across different industries and factors involved in the agri-food value chain. All these estimates are based on Leontief Input Ouput modeling and Industry reduction method. The Food Value Chain domain aims to supply informaiton relevant for the SDG 12 - sustainable consumption and production patterns, SDG 2 - zero hunger and SDG 1 - no poverty, that constitue guiding SDGs in the FAO Strategic Framework 2022-2031 and its better production pillar. More in general they may inform national, regional and global food policy, including measures in the World Food Summit framework. Data are collected from national Supply and Use Tables (SUTs) and Industry by Industry Input Output tables (IOTs), via OECD database or NSOs. All input data are in line with the System of National Accounts (SNA) and main international classifications and standards related to environmental-economic accounting (respectively the System of Environmental-Economic Accounting for Agriculture, Forestry and Fisheries, SEEA AFF, and the International Standard Industrial Classification of All Economic Activities, ISIC).