Food and Accommodation Away From Home (FAAFH) — Accommodation and in Hungary
Hungary: Food and Accommodation Away From Home (FAAFH) — Accommodation and was 369,754 million SLC 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 SLC.
Analysis
In 2015, food and accommodation away from home (faafh) — accommodation and in Hungary stood at 369,754 million SLC.
That represents a change of down 5.0% on the previous year and up 17.7% over ten years.
Over the whole period, food and accommodation away from home (faafh) — accommodation and in Hungary peaked at 389,142 million SLC in 2014 and was at its lowest, 313,571 million SLC, in 2006.
Hungary ranks 12th of 61 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 SLC | Change |
|---|---|---|
| 2005 | 314,142 million SLC | — |
| 2006 | 313,571 million SLC | -0.2% |
| 2007 | 314,338 million SLC | +0.2% |
| 2008 | 356,736 million SLC | +13.5% |
| 2009 | 354,406 million SLC | -0.7% |
| 2010 | 369,578 million SLC | +4.3% |
| 2011 | 372,402 million SLC | +0.8% |
| 2012 | 371,299 million SLC | -0.3% |
| 2013 | 382,420 million SLC | +3.0% |
| 2014 | 389,142 million SLC | +1.8% |
| 2015 | 369,754 million SLC | -5.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 330,639 million SLC | 313,571 million SLC | 356,736 million SLC | 5 |
| 2010s | 375,766 million SLC | 369,578 million SLC | 389,142 million SLC | 6 |
Countries ranked near Hungary
- 9 Russian Federation 634,270 million SLC compare
- 10 China, mainland 551,254 million SLC compare
- 11 Mexico 394,782 million SLC compare
- 13 Kazakhstan 311,622 million SLC compare
- 14 Thailand 250,026 million SLC compare
- 15 Bangladesh 178,996 million SLC 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 369,754 million SLC 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 389,142 million SLC in 2014.
- What is the lowest food and accommodation away from home (faafh) — accommodation and recorded in Hungary?
- The lowest recorded value was 313,571 million SLC in 2006.
- How does Hungary rank for food and accommodation away from home (faafh) — accommodation and?
- Hungary ranks 12th out of 61 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 17.7%. 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 — Primary Factors Total — Value SLC, 2015 prices. 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).