Food and Accommodation Away From Home (FAAFH) — Accommodation and food service activities — Import — 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 — Import — Value Local Currency is currently reported for 64 countries. The highest value is 11.56 million million LCU in Indonesia; the lowest is 0.8202 million LCU in Brunei Darussalam.
The median across all reporting countries is 1,243 million LCU, and the mean is 414,129 million LCU.
Over the past decade 55 countries rose and 9 fell. The largest increase was in Cyprus (up 621.5%), 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 | 11.56 million million LCU | 2015 | up 207.4% | rising |
| 1 | Viet Nam | 9.75 million million LCU | 2015 | up 373.7% | rising |
| 2 | Republic of Korea | 3.41 million million LCU | 2015 | up 87.8% | rising |
| 3 | Colombia | 582,632 million LCU | 2015 | up 138.1% | rising |
| 4 | Japan | 570,168 million LCU | 2015 | up 54.5% | rising |
| 5 | Cambodia | 151,126 million LCU | 2015 | up 31.6% | rising |
| 6 | Chile | 120,561 million LCU | 2015 | up 176.9% | rising |
| 7 | India | 72,841 million LCU | 2015 | up 158.6% | rising |
| 8 | Hungary | 68,364 million LCU | 2015 | up 213.6% | rising |
| 9 | Costa Rica | 43,840 million LCU | 2015 | up 42.2% | rising |
| 10 | China, Taiwan Province of | 35,800 million LCU | 2015 | up 183.6% | rising |
| 11 | Russian Federation | 25,952 million LCU | 2015 | up 592.3% | volatile |
| 12 | Thailand | 19,833 million LCU | 2015 | up 35.4% | rising |
| 13 | Kazakhstan | 14,182 million LCU | 2015 | up 283.8% | volatile |
| 14 | Mexico | 13,539 million LCU | 2015 | up 60.5% | rising |
| 15 | China, mainland | 10,292 million LCU | 2015 | up 24.3% | rising |
| 16 | Czechia | 7,688 million LCU | 2015 | up 87.1% | rising |
| 17 | Philippines | 5,384 million LCU | 2015 | up 68.5% | rising |
| 18 | Argentina | 2,942 million LCU | 2015 | up 540.4% | volatile |
| 19 | Iceland | 2,606 million LCU | 2015 | up 324.7% | rising |
| 20 | Sweden | 2,524 million LCU | 2015 | up 87.8% | rising |
| 21 | Brazil | 2,461 million LCU | 2015 | up 298.4% | rising |
| 22 | Italy | 2,185 million LCU | 2015 | up 78.0% | rising |
| 23 | Spain | 1,865 million LCU | 2015 | up 7.5% | flat |
| 24 | United Kingdom of Great Britain and Northern Ireland | 1,839 million LCU | 2015 | up 28.4% | rising |
| 25 | Germany | 1,535 million LCU | 2015 | up 48.3% | rising |
| 26 | South Africa | 1,400 million LCU | 2015 | up 157.5% | rising |
| 27 | Canada | 1,387 million LCU | 2015 | up 4.7% | rising |
| 28 | France | 1,379 million LCU | 2015 | up 74.0% | rising |
| 29 | Malaysia | 1,367 million LCU | 2015 | up 158.0% | rising |
| 30 | Israel | 1,291 million LCU | 2015 | up 60.7% | rising |
| 31 | Peru | 1,261 million LCU | 2015 | up 219.3% | rising |
| 32 | Netherlands (Kingdom of the) | 1,225 million LCU | 2015 | up 40.5% | rising |
| 33 | Norway | 1,205 million LCU | 2015 | up 125.0% | rising |
| 34 | T�rkiye | 1,047 million LCU | 2015 | down 100.0% | volatile |
| 35 | Australia | 962.02 million LCU | 2015 | up 29.7% | flat |
| 36 | Denmark | 873.42 million LCU | 2015 | up 101.9% | rising |
| 37 | China, Hong Kong SAR | 864.9 million LCU | 2015 | up 122.7% | rising |
| 38 | Morocco | 839.96 million LCU | 2015 | up 22.6% | rising |
| 39 | Singapore | 816.32 million LCU | 2015 | up 122.8% | rising |
| 40 | Switzerland | 696.5 million LCU | 2015 | down 22.0% | falling |
| 41 | Greece | 650.66 million LCU | 2015 | up 121.1% | rising |
| 42 | Poland | 596.8 million LCU | 2015 | up 80.7% | rising |
| 43 | Austria | 532.77 million LCU | 2015 | up 84.9% | rising |
| 44 | Croatia | 422.35 million LCU | 2015 | up 63.7% | rising |
| 45 | Belgium | 419.95 million LCU | 2015 | up 89.5% | rising |
| 46 | Saudi Arabia | 377.84 million LCU | 2014 | up 493.7% | volatile |
| 47 | Portugal | 338.98 million LCU | 2015 | up 53.7% | rising |
| 48 | Ireland | 256.27 million LCU | 2015 | down 28.8% | falling |
| 49 | Finland | 220.52 million LCU | 2015 | up 69.1% | rising |
| 50 | Romania | 218.43 million LCU | 2015 | down 100.0% | volatile |
| 51 | New Zealand | 205.19 million LCU | 2015 | up 48.5% | rising |
| 52 | Tunisia | 95.63 million LCU | 2015 | up 0.2% | falling |
| 53 | Cyprus | 63.15 million LCU | 2015 | up 621.5% | volatile |
| 54 | Luxembourg | 51.46 million LCU | 2015 | up 186.7% | rising |
| 55 | Bulgaria | 50.36 million LCU | 2015 | up 97.9% | rising |
| 56 | Malta | 41.5 million LCU | 2015 | up 299.0% | rising |
| 57 | Slovakia | 39.66 million LCU | 2015 | down 92.2% | volatile |
| 58 | Slovenia | 34.79 million LCU | 2015 | down 99.3% | volatile |
| 59 | Ecuador | 21.83 million LCU | 2020 | down 24.6% | flat |
| 60 | Estonia | 17.76 million LCU | 2015 | down 88.7% | volatile |
| 61 | Latvia | 15.81 million LCU | 2015 | up 441.8% | rising |
| 62 | Lithuania | 12.06 million LCU | 2015 | down 27.6% | rising |
| 63 | Brunei Darussalam | 0.8202 million LCU | 2015 | up 13.8% | 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 19,684 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).