Food and Accommodation Away From Home (FAAFH) — Transportation and in Hungary
Hungary: Food and Accommodation Away From Home (FAAFH) — Transportation and was 6,826 million LCU 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 LCU.
Analysis
Hungary recorded 6,826 million LCU for food and accommodation away from home (faafh) — transportation and in 2015. That is the highest value across all 11 years on record.
That represents a change of up 2.6% on the previous year and up 98.0% over ten years.
Over the whole period, food and accommodation away from home (faafh) — transportation and in Hungary peaked at 6,826 million LCU in 2015 and was at its lowest, 3,448 million LCU, in 2005.
That places Hungary 11th out of 63 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 LCU | Change |
|---|---|---|
| 2005 | 3,448 million LCU | — |
| 2006 | 3,667 million LCU | +6.4% |
| 2007 | 3,774 million LCU | +2.9% |
| 2008 | 4,945 million LCU | +31.0% |
| 2009 | 4,622 million LCU | -6.5% |
| 2010 | 5,006 million LCU | +8.3% |
| 2011 | 5,388 million LCU | +7.6% |
| 2012 | 5,867 million LCU | +8.9% |
| 2013 | 6,561 million LCU | +11.8% |
| 2014 | 6,651 million LCU | +1.4% |
| 2015 | 6,826 million LCU | +2.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 4,091 million LCU | 3,448 million LCU | 4,945 million LCU | 5 |
| 2010s | 6,050 million LCU | 5,006 million LCU | 6,826 million LCU | 6 |
Countries ranked near Hungary
- 8 Thailand 9,643 million LCU compare
- 9 China, mainland 7,856 million LCU compare
- 10 Costa Rica 7,459 million LCU compare
- 12 China, Taiwan Province of 5,115 million LCU compare
- 13 Russian Federation 3,890 million LCU compare
- 14 Mexico 3,057 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) — transportation and in Hungary?
- Food and accommodation away from home (faafh) — transportation and in Hungary was 6,826 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) — transportation and recorded in Hungary?
- The highest recorded value was 6,826 million LCU in 2015.
- What is the lowest food and accommodation away from home (faafh) — transportation and recorded in Hungary?
- The lowest recorded value was 3,448 million LCU in 2005.
- How does Hungary rank for food and accommodation away from home (faafh) — transportation and?
- Hungary ranks 11th out of 63 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 98.0%. 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 — 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).