Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry in Hungary
Hungary: Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry was 44,386 million LCU in 2015. ▲ Rising
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 44,386 million LCU, measured in 2015. That is the highest value across all 11 years on record.
Compared with earlier readings it is up 13.9% on the previous year and up 44.3% over ten years.
Over the whole period, food and accommodation away from home (faafh) — agriculture, forestry in Hungary peaked at 44,386 million LCU in 2015 and was at its lowest, 22,582 million LCU, in 2010.
That places Hungary 12th out of 64 countries with data for 2015, putting it in the top quarter.
The long-run direction has been consistently rising 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 | 30,755 million LCU | — |
| 2006 | 29,841 million LCU | -3.0% |
| 2007 | 24,167 million LCU | -19.0% |
| 2008 | 27,136 million LCU | +12.3% |
| 2009 | 22,749 million LCU | -16.2% |
| 2010 | 22,582 million LCU | -0.7% |
| 2011 | 31,404 million LCU | +39.1% |
| 2012 | 29,763 million LCU | -5.2% |
| 2013 | 36,216 million LCU | +21.7% |
| 2014 | 38,957 million LCU | +7.6% |
| 2015 | 44,386 million LCU | +13.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 26,930 million LCU | 22,749 million LCU | 30,755 million LCU | 5 |
| 2010s | 33,884 million LCU | 22,582 million LCU | 44,386 million LCU | 6 |
Countries ranked near Hungary
- 9 China, mainland 155,177 million LCU compare
- 10 Russian Federation 124,683 million LCU compare
- 11 Thailand 79,910 million LCU compare
- 13 Costa Rica 38,956 million LCU compare
- 14 Philippines 32,101 million LCU compare
- 15 Mexico 20,122 million LCU compare
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)
- Roundwood — Import value, annual growth rate -37.93 % change on previous year (2024)
- Roundwood — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
- Roundwood — Import value, per capita 0.0019 1000 USD per person (2024)
- Roundwood — Export quantity, annual growth rate 42.84 % change on previous year (2024)
- Roundwood — Export quantity, per capita 0.1061 m3 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 44,386 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 44,386 million LCU in 2015.
- What is the lowest food and accommodation away from home (faafh) — agriculture, forestry recorded in Hungary?
- The lowest recorded value was 22,582 million LCU in 2010.
- How does Hungary rank for food and accommodation away from home (faafh) — agriculture, forestry?
- Hungary ranks 12th out of 64 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 up 44.3%. The long-run trend across the full record is rising.
- 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 — Primary Factors Total — 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).