Food and Accommodation Away From Home (FAAFH) — Accommodation and in Hungary
Hungary: Food and Accommodation Away From Home (FAAFH) — Accommodation and was 68,364 million LCU in 2015. ▲ Rising
Food and Accommodation Away From Home (FAAFH) — Accommodation and 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) — accommodation and in Hungary is 68,364 million LCU, measured in 2015. That is the highest value across all 11 years on record.
The figure is up 4.1% on the previous year and up 213.6% over ten years.
Over the whole period, food and accommodation away from home (faafh) — accommodation and in Hungary peaked at 68,364 million LCU in 2015 and was at its lowest, 21,798 million LCU, in 2005.
Hungary ranks 8th of 63 countries on this measure, 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) — Accommodation and in Hungary, year by year
| Year | million LCU | Change |
|---|---|---|
| 2005 | 21,798 million LCU | — |
| 2006 | 25,849 million LCU | +18.6% |
| 2007 | 27,893 million LCU | +7.9% |
| 2008 | 38,111 million LCU | +36.6% |
| 2009 | 40,622 million LCU | +6.6% |
| 2010 | 53,443 million LCU | +31.6% |
| 2011 | 55,700 million LCU | +4.2% |
| 2012 | 60,761 million LCU | +9.1% |
| 2013 | 62,552 million LCU | +2.9% |
| 2014 | 65,658 million LCU | +5.0% |
| 2015 | 68,364 million LCU | +4.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 30,855 million LCU | 21,798 million LCU | 40,622 million LCU | 5 |
| 2010s | 61,080 million LCU | 53,443 million LCU | 68,364 million LCU | 6 |
Countries ranked near Hungary
- 5 Cambodia 151,126 million LCU compare
- 6 Chile 120,561 million LCU compare
- 7 India 72,841 million LCU compare
- 9 Costa Rica 43,840 million LCU compare
- 10 China, Taiwan Province of 35,800 million LCU compare
- 11 Russian Federation 25,952 million LCU compare
More agriculture & rural data for Hungary
- Agriculture, forestry, and fishing, value added (current US$), annual 8.23 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0265 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 687.58 current US$ per person (2025)
- Rural population, annual growth rate -1.18 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.2931 units per person (2025)
- Share of GDP from agriculture 2.7% (2025)
- Agriculture as a share of GDP vs. GDP per capita 2.7% (2025)
- Agricultural raw materials exports 0.5% (2025)
- Agricultural raw materials imports 0.8% (2025)
Frequently asked questions
- What is food and accommodation away from home (faafh) — accommodation and in Hungary?
- Food and accommodation away from home (faafh) — accommodation and in Hungary was 68,364 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) — accommodation and recorded in Hungary?
- The highest recorded value was 68,364 million LCU in 2015.
- What is the lowest food and accommodation away from home (faafh) — accommodation and recorded in Hungary?
- The lowest recorded value was 21,798 million LCU in 2005.
- How does Hungary rank for food and accommodation away from home (faafh) — accommodation and?
- Hungary ranks 8th out of 63 countries with data for 2015.
- Is food and accommodation away from home (faafh) — accommodation and rising or falling in Hungary?
- Over the last ten years it is up 213.6%. 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) — Accommodation and food service activities — Import — 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).