Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry and Fishing — Taxes — Value US$ 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) — Agriculture, Forestry and Fishing — Taxes — Value US$ is currently reported for 64 countries. The highest value is 334.08 million USD in Republic of Korea; the lowest is -316.73 million USD in Spain.
The median across all reporting countries is 1.67 million USD, and the mean is 11.41 million USD.
Over the past decade 39 countries rose and 25 fell. The largest increase was in T�rkiye (up 3,137.1%), and the largest decrease in Latvia (down 2,179.2%).
Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Republic of Korea | 334.08 million USD | 2015 | up 74.2% | rising |
| 1 | Viet Nam | 78.87 million USD | 2015 | up 248.0% | rising |
| 2 | China, mainland | 298.61 million USD | 2015 | down 7.3% | volatile |
| 3 | Brazil | 193.82 million USD | 2015 | up 105.2% | rising |
| 4 | India | 183.39 million USD | 2015 | up 64.8% | flat |
| 5 | Argentina | 145.47 million USD | 2015 | up 300.6% | rising |
| 6 | Canada | 97.11 million USD | 2015 | up 54.9% | volatile |
| 7 | Australia | 86.78 million USD | 2015 | up 32.0% | rising |
| 8 | Israel | 64.64 million USD | 2015 | up 276.1% | volatile |
| 9 | Indonesia | 43.87 million USD | 2015 | down 26.5% | falling |
| 10 | Russian Federation | 38.12 million USD | 2015 | up 59.4% | rising |
| 11 | Thailand | 30.42 million USD | 2015 | up 17.5% | rising |
| 12 | Philippines | 24.97 million USD | 2015 | up 91.8% | rising |
| 13 | Chile | 22.44 million USD | 2015 | up 113.0% | rising |
| 14 | New Zealand | 21.42 million USD | 2015 | up 40.2% | rising |
| 15 | United Kingdom of Great Britain and Northern Ireland | 17.37 million USD | 2015 | up 113.2% | volatile |
| 16 | Peru | 15.73 million USD | 2015 | up 159.8% | rising |
| 17 | T�rkiye | 13.91 million USD | 2015 | up 3,137.1% | volatile |
| 18 | Mexico | 12.2 million USD | 2015 | up 23.5% | rising |
| 19 | Switzerland | 11.42 million USD | 2015 | down 12.9% | falling |
| 20 | Morocco | 8.08 million USD | 2015 | up 57.8% | rising |
| 21 | South Africa | 7.51 million USD | 2015 | up 281.4% | volatile |
| 22 | Colombia | 7.09 million USD | 2015 | down 36.8% | volatile |
| 23 | Tunisia | 4.65 million USD | 2015 | up 5.5% | rising |
| 24 | Denmark | 3.82 million USD | 2015 | up 242.3% | volatile |
| 25 | Costa Rica | 3.64 million USD | 2015 | up 90.2% | rising |
| 26 | Netherlands (Kingdom of the) | 3.29 million USD | 2015 | down 78.1% | falling |
| 27 | Malaysia | 2.81 million USD | 2015 | up 798.9% | volatile |
| 28 | Cyprus | 2.39 million USD | 2015 | up 73.7% | rising |
| 29 | Croatia | 2.25 million USD | 2015 | up 47.7% | rising |
| 30 | Iceland | 1.93 million USD | 2015 | down 15.0% | falling |
| 31 | Cambodia | 1.76 million USD | 2015 | up 717.3% | volatile |
| 32 | Sweden | 1.58 million USD | 2015 | up 190.1% | volatile |
| 33 | Ecuador | 0.8944 million USD | 2020 | up 186.9% | rising |
| 34 | Kazakhstan | 0.8213 million USD | 2015 | down 15.6% | rising |
| 35 | China, Hong Kong SAR | 0.5978 million USD | 2015 | up 165.1% | rising |
| 36 | Lithuania | 0.2937 million USD | 2015 | up 426.5% | volatile |
| 37 | Singapore | 0.139 million USD | 2015 | up 379.0% | volatile |
| 38 | Brunei Darussalam | 0.0086 million USD | 2015 | up 230.0% | volatile |
| 39 | Luxembourg | -0.2562 million USD | 2015 | down 29.7% | rising |
| 40 | Malta | -0.3616 million USD | 2015 | down 218.9% | volatile |
| 41 | Estonia | -1 million USD | 2015 | down 722.5% | falling |
| 42 | Slovakia | -1.22 million USD | 2015 | down 226.6% | falling |
| 43 | Belgium | -1.24 million USD | 2015 | down 58.5% | volatile |
| 44 | Latvia | -1.85 million USD | 2015 | down 2,179.2% | volatile |
| 45 | Slovenia | -3.09 million USD | 2015 | down 488.8% | volatile |
| 46 | Ireland | -4.14 million USD | 2015 | up 69.6% | rising |
| 47 | Saudi Arabia | -5.12 million USD | 2014 | down 175.7% | falling |
| 48 | China, Taiwan Province of | -6.21 million USD | 2015 | up 14.9% | flat |
| 49 | Bulgaria | -6.35 million USD | 2015 | down 1,107.9% | volatile |
| 50 | Romania | -9.32 million USD | 2015 | down 126.5% | falling |
| 51 | Czechia | -9.6 million USD | 2015 | up 49.1% | rising |
| 52 | Portugal | -10.52 million USD | 2015 | up 55.2% | rising |
| 53 | Poland | -14.55 million USD | 2015 | down 953.0% | volatile |
| 54 | Norway | -15.87 million USD | 2015 | down 24.8% | falling |
| 55 | Finland | -17.22 million USD | 2015 | up 37.0% | rising |
| 56 | Hungary | -23.13 million USD | 2015 | down 357.4% | falling |
| 57 | Austria | -35.13 million USD | 2015 | up 4.1% | falling |
| 58 | Japan | -41.7 million USD | 2015 | down 110.6% | volatile |
| 59 | Germany | -88.53 million USD | 2015 | up 28.9% | rising |
| 60 | France | -95.38 million USD | 2015 | down 231.5% | volatile |
| 61 | Italy | -166.07 million USD | 2015 | down 68.3% | falling |
| 62 | Greece | -183.1 million USD | 2015 | down 534.4% | falling |
| 63 | Spain | -316.73 million USD | 2015 | down 729.2% | falling |
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 907.72 million USD
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).