Food and Accommodation Away From Home (FAAFH) — Wholesale and retail trade — 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) — Wholesale and retail trade — Import — Value Local Currency is currently reported for 64 countries. The highest value is 6.94 million million LCU in Indonesia; the lowest is 1.08 million LCU in Brunei Darussalam.
The median across all reporting countries is 928.13 million LCU, and the mean is 300,421 million LCU.
Over the past decade 54 countries rose and 10 fell. The largest increase was in Russian Federation (up 569.9%), and the largest decrease in T�rkiye (down 100.0%).
Food and Accommodation Away From Home (FAAFH) — Wholesale and retail: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Indonesia | 6.94 million million LCU | 2015 | up 182.5% | rising |
| 1 | Viet Nam | 6.91 million million LCU | 2015 | up 500.4% | volatile |
| 2 | Republic of Korea | 3.74 million million LCU | 2015 | up 91.6% | rising |
| 3 | Colombia | 658,302 million LCU | 2015 | up 145.4% | rising |
| 4 | Japan | 597,790 million LCU | 2015 | up 39.5% | rising |
| 5 | Chile | 90,344 million LCU | 2015 | up 243.4% | rising |
| 6 | Cambodia | 55,235 million LCU | 2015 | up 50.5% | rising |
| 7 | Hungary | 33,529 million LCU | 2015 | up 73.4% | rising |
| 8 | Russian Federation | 33,397 million LCU | 2015 | up 569.9% | volatile |
| 9 | Costa Rica | 30,731 million LCU | 2015 | up 113.2% | rising |
| 10 | India | 28,090 million LCU | 2015 | up 138.3% | rising |
| 11 | Thailand | 22,024 million LCU | 2015 | up 19.9% | rising |
| 12 | China, mainland | 14,067 million LCU | 2015 | up 94.5% | rising |
| 13 | Mexico | 10,422 million LCU | 2015 | up 118.4% | rising |
| 14 | China, Taiwan Province of | 8,239 million LCU | 2015 | down 2.6% | falling |
| 15 | Philippines | 6,057 million LCU | 2015 | up 127.0% | rising |
| 16 | Kazakhstan | 5,267 million LCU | 2015 | up 241.4% | rising |
| 17 | Czechia | 3,438 million LCU | 2015 | up 18.8% | falling |
| 18 | Brazil | 2,222 million LCU | 2015 | up 396.3% | volatile |
| 19 | Canada | 2,169 million LCU | 2015 | up 98.8% | rising |
| 20 | Spain | 1,796 million LCU | 2015 | up 13.5% | falling |
| 21 | Italy | 1,675 million LCU | 2015 | up 41.3% | rising |
| 22 | United Kingdom of Great Britain and Northern Ireland | 1,583 million LCU | 2015 | up 28.4% | rising |
| 23 | Germany | 1,525 million LCU | 2015 | up 49.0% | rising |
| 24 | Sweden | 1,512 million LCU | 2015 | up 72.9% | rising |
| 25 | Argentina | 1,377 million LCU | 2015 | up 489.2% | volatile |
| 26 | France | 1,350 million LCU | 2015 | up 56.6% | rising |
| 27 | Iceland | 1,109 million LCU | 2015 | up 84.5% | rising |
| 28 | Malaysia | 1,109 million LCU | 2015 | up 139.3% | rising |
| 29 | Israel | 1,077 million LCU | 2015 | up 66.1% | rising |
| 30 | T�rkiye | 1,023 million LCU | 2015 | down 100.0% | volatile |
| 31 | China, Hong Kong SAR | 943.15 million LCU | 2015 | up 25.4% | rising |
| 32 | Norway | 913.11 million LCU | 2015 | up 160.7% | rising |
| 33 | Australia | 797.13 million LCU | 2015 | up 6.2% | flat |
| 34 | South Africa | 775.56 million LCU | 2015 | up 333.4% | rising |
| 35 | Netherlands (Kingdom of the) | 747.94 million LCU | 2015 | up 55.0% | rising |
| 36 | Denmark | 714.72 million LCU | 2015 | up 36.7% | falling |
| 37 | Peru | 582.78 million LCU | 2015 | up 263.4% | rising |
| 38 | Poland | 573.14 million LCU | 2015 | up 76.4% | rising |
| 39 | Romania | 555.38 million LCU | 2015 | down 100.0% | volatile |
| 40 | Switzerland | 538.58 million LCU | 2015 | down 22.9% | falling |
| 41 | Morocco | 430.54 million LCU | 2015 | up 83.2% | rising |
| 42 | Greece | 357.06 million LCU | 2015 | up 3.9% | falling |
| 43 | Belgium | 345.69 million LCU | 2015 | up 54.9% | rising |
| 44 | Austria | 271.62 million LCU | 2015 | up 54.5% | rising |
| 45 | Saudi Arabia | 260.83 million LCU | 2014 | up 247.9% | volatile |
| 46 | Portugal | 232.14 million LCU | 2015 | up 11.2% | flat |
| 47 | Croatia | 213.18 million LCU | 2015 | up 90.9% | rising |
| 48 | Singapore | 199.13 million LCU | 2015 | up 64.3% | rising |
| 49 | Ireland | 161.59 million LCU | 2015 | down 37.5% | falling |
| 50 | Tunisia | 139.68 million LCU | 2015 | up 167.6% | rising |
| 51 | Finland | 130.76 million LCU | 2015 | up 21.5% | rising |
| 52 | New Zealand | 96.63 million LCU | 2015 | up 32.3% | rising |
| 53 | Bulgaria | 74.12 million LCU | 2015 | up 180.7% | rising |
| 54 | Cyprus | 33.72 million LCU | 2015 | up 144.1% | volatile |
| 55 | Malta | 29.16 million LCU | 2015 | up 330.7% | volatile |
| 56 | Slovenia | 28.94 million LCU | 2015 | down 99.4% | volatile |
| 57 | Slovakia | 24.97 million LCU | 2015 | down 94.0% | volatile |
| 58 | Estonia | 14.39 million LCU | 2015 | down 83.8% | volatile |
| 59 | Ecuador | 13.27 million LCU | 2020 | down 13.2% | rising |
| 60 | Latvia | 12.23 million LCU | 2015 | up 222.3% | rising |
| 61 | Luxembourg | 12.16 million LCU | 2015 | up 216.5% | rising |
| 62 | Lithuania | 8.58 million LCU | 2015 | down 35.8% | rising |
| 63 | Brunei Darussalam | 1.08 million LCU | 2015 | up 6.8% | 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 7,488 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).