Food and Accommodation Away From Home (FAAFH) — Transportation and in Hungary
Hungary: Food and Accommodation Away From Home (FAAFH) — Transportation and was 12,914 million SLC in 2015. ▲ Rising
Food and Accommodation Away From Home (FAAFH) — Transportation and in Hungary, 2005–2015
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
The most recent figure for food and accommodation away from home (faafh) — transportation and in Hungary is 12,914 million SLC, measured in 2015.
That represents a change of down 3.5% on the previous year and up 5.2% over ten years.
Over the whole period, food and accommodation away from home (faafh) — transportation and in Hungary peaked at 14,172 million SLC in 2013 and was at its lowest, 11,194 million SLC, in 2006.
That places Hungary 13th out of 61 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) — Transportation and in Hungary, year by year
| Year | million SLC | Change |
|---|---|---|
| 2005 | 12,275 million SLC | — |
| 2006 | 11,194 million SLC | -8.8% |
| 2007 | 11,357 million SLC | +1.4% |
| 2008 | 14,027 million SLC | +23.5% |
| 2009 | 12,921 million SLC | -7.9% |
| 2010 | 12,578 million SLC | -2.7% |
| 2011 | 12,590 million SLC | +0.1% |
| 2012 | 13,419 million SLC | +6.6% |
| 2013 | 14,172 million SLC | +5.6% |
| 2014 | 13,383 million SLC | -5.6% |
| 2015 | 12,914 million SLC | -3.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 12,355 million SLC | 11,194 million SLC | 14,027 million SLC | 5 |
| 2010s | 13,176 million SLC | 12,578 million SLC | 14,172 million SLC | 6 |
Countries ranked near Hungary
- 10 Russian Federation 23,750 million SLC compare
- 11 Costa Rica 23,160 million SLC compare
- 12 Thailand 14,957 million SLC compare
- 14 Mexico 10,190 million SLC compare
- 15 Brazil 6,604 million SLC compare
- 16 Kazakhstan 5,031 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) — transportation and in Hungary?
- Food and accommodation away from home (faafh) — transportation and in Hungary was 12,914 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) — transportation and recorded in Hungary?
- The highest recorded value was 14,172 million SLC in 2013.
- What is the lowest food and accommodation away from home (faafh) — transportation and recorded in Hungary?
- The lowest recorded value was 11,194 million SLC in 2006.
- How does Hungary rank for food and accommodation away from home (faafh) — transportation and?
- Hungary ranks 13th out of 61 countries with data for 2015.
- Is food and accommodation away from home (faafh) — transportation and rising or falling in Hungary?
- Over the last ten years it is up 5.2%. 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) — Transportation and storage — 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).