Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry and Fishing — Taxes — Value SLC, 2015 prices 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 SLC, 2015 prices is currently reported for 61 countries. The highest value is 1.71 million million SLC in Viet Nam; the lowest is -6,461 million SLC in Hungary.
The median across all reporting countries is 10.96 million SLC, and the mean is 44,730 million SLC.
The gap between the highest and lowest reporting country is a factor of about 265.
Over the past decade 38 countries rose and 22 fell. The largest increase was in Malaysia (up 590.3%), and the largest decrease in Poland (down 899.8%).
Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Viet Nam | 1.71 million million SLC | 2015 | up 95.1% | rising |
| 1 | Indonesia | 587,387 million SLC | 2015 | down 55.0% | falling |
| 2 | Republic of Korea | 377,828 million SLC | 2015 | up 59.4% | rising |
| 3 | Colombia | 19,453 million SLC | 2015 | down 51.0% | falling |
| 4 | Chile | 14,678 million SLC | 2015 | up 56.4% | rising |
| 5 | India | 11,765 million SLC | 2015 | up 21.5% | falling |
| 6 | Cambodia | 7,172 million SLC | 2015 | up 456.8% | rising |
| 7 | Russian Federation | 2,323 million SLC | 2015 | up 16.6% | rising |
| 8 | Costa Rica | 1,946 million SLC | 2015 | up 3.4% | rising |
| 9 | China, mainland | 1,860 million SLC | 2015 | down 52.1% | rising |
| 10 | Argentina | 1,343 million SLC | 2015 | up 70.3% | rising |
| 11 | Philippines | 1,136 million SLC | 2015 | up 14.9% | falling |
| 12 | Thailand | 1,042 million SLC | 2015 | down 22.9% | flat |
| 13 | Brazil | 644.82 million SLC | 2015 | up 33.7% | rising |
| 14 | Iceland | 254.51 million SLC | 2015 | down 1.2% | flat |
| 15 | Israel | 251.26 million SLC | 2015 | up 168.7% | rising |
| 16 | Mexico | 193.33 million SLC | 2015 | up 15.2% | flat |
| 17 | Kazakhstan | 182.11 million SLC | 2015 | down 55.0% | falling |
| 18 | Canada | 124.19 million SLC | 2015 | up 37.5% | volatile |
| 19 | Australia | 115.52 million SLC | 2015 | up 6.3% | falling |
| 20 | South Africa | 95.84 million SLC | 2015 | up 312.0% | rising |
| 21 | Morocco | 78.88 million SLC | 2015 | up 59.0% | rising |
| 22 | Peru | 50.09 million SLC | 2015 | up 83.4% | rising |
| 23 | T�rkiye | 37.84 million SLC | 2015 | up 100.0% | volatile |
| 24 | New Zealand | 30.71 million SLC | 2015 | up 13.1% | rising |
| 25 | Denmark | 25.7 million SLC | 2015 | up 234.0% | volatile |
| 26 | Croatia | 15.43 million SLC | 2015 | up 37.7% | rising |
| 27 | Sweden | 13.33 million SLC | 2015 | up 185.1% | volatile |
| 28 | United Kingdom of Great Britain and Northern Ireland | 11.37 million SLC | 2015 | up 112.9% | volatile |
| 29 | Switzerland | 10.99 million SLC | 2015 | down 35.8% | falling |
| 30 | Malaysia | 10.96 million SLC | 2015 | up 590.3% | volatile |
| 31 | Tunisia | 9.13 million SLC | 2015 | up 7.6% | rising |
| 32 | China, Hong Kong SAR | 4.63 million SLC | 2015 | up 118.0% | rising |
| 33 | Netherlands (Kingdom of the) | 2.97 million SLC | 2015 | down 78.2% | volatile |
| 34 | Cyprus | 2.16 million SLC | 2015 | up 45.1% | rising |
| 35 | Ecuador | 0.8448 million SLC | 2020 | up 135.8% | rising |
| 36 | Singapore | 0.1911 million SLC | 2015 | up 244.0% | volatile |
| 37 | Brunei Darussalam | 0.0118 million SLC | 2015 | up 177.2% | rising |
| 38 | Luxembourg | -0.231 million SLC | 2015 | down 3.7% | rising |
| 39 | Malta | -0.326 million SLC | 2015 | down 422.4% | volatile |
| 40 | Estonia | -0.9059 million SLC | 2015 | — | rising |
| 41 | Slovakia | -1.1 million SLC | 2015 | up 29.4% | rising |
| 42 | Belgium | -1.11 million SLC | 2015 | down 51.9% | volatile |
| 43 | Slovenia | -2.78 million SLC | 2015 | down 96.2% | volatile |
| 44 | Ireland | -3.73 million SLC | 2015 | up 69.0% | rising |
| 45 | Portugal | -9.49 million SLC | 2015 | up 56.3% | rising |
| 46 | Bulgaria | -11.2 million SLC | 2015 | down 851.4% | volatile |
| 47 | Finland | -15.53 million SLC | 2015 | up 42.1% | rising |
| 48 | Saudi Arabia | -15.94 million SLC | 2014 | down 69.0% | falling |
| 49 | Austria | -31.68 million SLC | 2015 | up 10.7% | falling |
| 50 | Romania | -37.34 million SLC | 2015 | up 9.6% | falling |
| 51 | Poland | -54.85 million SLC | 2015 | down 899.8% | volatile |
| 52 | Germany | -79.82 million SLC | 2015 | up 30.5% | rising |
| 53 | France | -86 million SLC | 2015 | down 229.9% | volatile |
| 54 | Norway | -127.96 million SLC | 2015 | down 14.1% | falling |
| 55 | Italy | -149.74 million SLC | 2015 | down 62.2% | falling |
| 56 | Greece | -165.1 million SLC | 2015 | down 545.1% | falling |
| 57 | Czechia | -236.08 million SLC | 2015 | up 54.3% | rising |
| 58 | Spain | -285.58 million SLC | 2015 | down 738.2% | falling |
| 59 | Japan | -5,048 million SLC | 2015 | down 112.1% | volatile |
| 60 | Hungary | -6,461 million SLC | 2015 | down 355.1% | 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 SLC
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).