Food and Accommodation Away From Home (FAAFH) — Accommodation and food service activities — Operating surplus — Value Local Currency by country
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,...
What the numbers show
Food and Accommodation Away From Home (FAAFH) — Accommodation and food service activities — Operating surplus — Value Local Currency is currently reported for 64 countries. The highest value is 170.58 million million LCU in Indonesia; the lowest is 5.57 million LCU in Brunei Darussalam.
The median across all reporting countries is 7,303 million LCU, and the mean is 3.62 million million LCU.
Over the past decade 54 countries rose and 10 fell. The largest increase was in Argentina (up 849.8%), and the largest decrease in T�rkiye (down 100.0%).
Food and Accommodation Away From Home (FAAFH) — Accommodation and: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Indonesia | 170.58 million million LCU | 2015 | up 291.5% | rising |
| 1 | Viet Nam | 18.90 million million LCU | 2015 | up 251.3% | rising |
| 2 | Republic of Korea | 16.26 million million LCU | 2015 | up 99.0% | rising |
| 3 | Colombia | 13.06 million million LCU | 2015 | up 206.2% | rising |
| 4 | Japan | 8.00 million million LCU | 2015 | down 11.4% | falling |
| 5 | Cambodia | 1.35 million million LCU | 2015 | up 149.7% | rising |
| 6 | Chile | 1.09 million million LCU | 2015 | up 318.0% | rising |
| 7 | India | 529,752 million LCU | 2015 | up 199.3% | rising |
| 8 | Russian Federation | 339,627 million LCU | 2015 | up 308.7% | rising |
| 9 | Costa Rica | 319,594 million LCU | 2015 | up 224.1% | rising |
| 10 | Mexico | 277,801 million LCU | 2015 | up 45.2% | rising |
| 11 | Kazakhstan | 182,748 million LCU | 2015 | up 635.3% | volatile |
| 12 | Thailand | 130,795 million LCU | 2015 | up 36.3% | rising |
| 13 | China, mainland | 116,867 million LCU | 2015 | up 15.1% | falling |
| 14 | China, Taiwan Province of | 93,279 million LCU | 2015 | up 53.9% | rising |
| 15 | Hungary | 86,313 million LCU | 2015 | up 49.7% | rising |
| 16 | Philippines | 76,523 million LCU | 2015 | up 181.3% | rising |
| 17 | Argentina | 51,220 million LCU | 2015 | up 849.8% | volatile |
| 18 | Brazil | 48,716 million LCU | 2015 | up 347.7% | rising |
| 19 | Czechia | 29,888 million LCU | 2015 | up 20.5% | rising |
| 20 | Spain | 22,268 million LCU | 2015 | down 1.8% | falling |
| 21 | Italy | 20,884 million LCU | 2015 | up 23.7% | rising |
| 22 | T�rkiye | 20,544 million LCU | 2015 | down 100.0% | volatile |
| 23 | Peru | 17,881 million LCU | 2015 | up 220.1% | rising |
| 24 | France | 10,560 million LCU | 2015 | up 38.1% | rising |
| 25 | United Kingdom of Great Britain and Northern Ireland | 10,211 million LCU | 2015 | up 29.2% | rising |
| 26 | Germany | 9,825 million LCU | 2015 | up 8.1% | falling |
| 27 | Canada | 9,535 million LCU | 2015 | up 70.8% | rising |
| 28 | Iceland | 9,431 million LCU | 2015 | up 183.9% | rising |
| 29 | Malaysia | 8,652 million LCU | 2015 | up 209.2% | rising |
| 30 | Saudi Arabia | 8,235 million LCU | 2014 | up 295.0% | volatile |
| 31 | South Africa | 7,528 million LCU | 2015 | up 201.7% | rising |
| 32 | Morocco | 7,079 million LCU | 2015 | up 28.7% | rising |
| 33 | Greece | 6,950 million LCU | 2015 | up 44.3% | rising |
| 34 | China, Hong Kong SAR | 6,660 million LCU | 2015 | up 133.5% | rising |
| 35 | Australia | 6,495 million LCU | 2015 | up 11.9% | rising |
| 36 | Sweden | 6,208 million LCU | 2015 | up 67.7% | rising |
| 37 | Norway | 5,747 million LCU | 2015 | up 104.9% | rising |
| 38 | Israel | 4,851 million LCU | 2015 | up 121.7% | rising |
| 39 | Austria | 4,602 million LCU | 2015 | up 80.9% | rising |
| 40 | Netherlands (Kingdom of the) | 4,449 million LCU | 2015 | up 12.8% | flat |
| 41 | Denmark | 3,936 million LCU | 2015 | up 44.1% | rising |
| 42 | Poland | 3,755 million LCU | 2015 | up 44.1% | rising |
| 43 | Switzerland | 3,360 million LCU | 2015 | down 8.4% | falling |
| 44 | Romania | 3,281 million LCU | 2015 | down 100.0% | volatile |
| 45 | Portugal | 2,895 million LCU | 2015 | up 36.2% | rising |
| 46 | Croatia | 2,155 million LCU | 2015 | up 108.3% | rising |
| 47 | Singapore | 1,855 million LCU | 2015 | up 105.1% | rising |
| 48 | New Zealand | 1,530 million LCU | 2015 | up 76.6% | rising |
| 49 | Tunisia | 1,436 million LCU | 2015 | up 85.7% | rising |
| 50 | Belgium | 1,335 million LCU | 2015 | up 35.8% | rising |
| 51 | Ecuador | 1,302 million LCU | 2020 | up 50.3% | rising |
| 52 | Finland | 545.33 million LCU | 2015 | up 20.3% | rising |
| 53 | Ireland | 423.85 million LCU | 2015 | down 33.6% | falling |
| 54 | Bulgaria | 224.31 million LCU | 2015 | up 89.2% | rising |
| 55 | Cyprus | 178.61 million LCU | 2015 | up 174.8% | rising |
| 56 | Slovakia | 132.01 million LCU | 2015 | down 96.4% | volatile |
| 57 | Slovenia | 111.33 million LCU | 2015 | down 99.4% | volatile |
| 58 | Latvia | 82.12 million LCU | 2015 | up 216.4% | rising |
| 59 | Lithuania | 75.45 million LCU | 2015 | down 54.1% | rising |
| 60 | Malta | 63.14 million LCU | 2015 | up 282.7% | rising |
| 61 | Estonia | 49.46 million LCU | 2015 | down 90.2% | volatile |
| 62 | Luxembourg | 41.68 million LCU | 2015 | up 63.3% | rising |
| 63 | Brunei Darussalam | 5.57 million LCU | 2015 | up 23.3% | rising |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- United States of America 170,308 million LCU
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).