Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry and Fishing — Taxes — 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) — Agriculture, Forestry and Fishing — Taxes — Value Local Currency is currently reported for 64 countries. The highest value is 1.71 million million LCU in Viet Nam; the lowest is -6,461 million LCU in Hungary.
The median across all reporting countries is 6.88 million LCU, and the mean is 42,630 million LCU.
The gap between the highest and lowest reporting country is a factor of about 265.
Over the past decade 45 countries rose and 19 fell. The largest increase was in Argentina (up 1,174.0%), and the largest decrease in Latvia (down 3,419.8%).
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 LCU | 2015 | up 376.2% | volatile |
| 1 | Indonesia | 587,387 million LCU | 2015 | up 1.4% | falling |
| 2 | Republic of Korea | 377,828 million LCU | 2015 | up 92.3% | rising |
| 3 | Colombia | 19,453 million LCU | 2015 | down 25.3% | volatile |
| 4 | Chile | 14,678 million LCU | 2015 | up 149.0% | rising |
| 5 | India | 11,765 million LCU | 2015 | up 139.7% | rising |
| 6 | Cambodia | 7,172 million LCU | 2015 | up 712.3% | volatile |
| 7 | Russian Federation | 2,323 million LCU | 2015 | up 243.4% | rising |
| 8 | Costa Rica | 1,946 million LCU | 2015 | up 112.8% | rising |
| 9 | China, mainland | 1,860 million LCU | 2015 | down 29.6% | rising |
| 10 | Argentina | 1,343 million LCU | 2015 | up 1,174.0% | volatile |
| 11 | Philippines | 1,136 million LCU | 2015 | up 58.4% | rising |
| 12 | Thailand | 1,042 million LCU | 2015 | up 0.0% | rising |
| 13 | Brazil | 644.82 million LCU | 2015 | up 180.4% | rising |
| 14 | Iceland | 254.51 million LCU | 2015 | up 78.0% | rising |
| 15 | Israel | 251.26 million LCU | 2015 | up 225.7% | volatile |
| 16 | Mexico | 193.33 million LCU | 2015 | up 79.6% | rising |
| 17 | Kazakhstan | 182.11 million LCU | 2015 | up 40.8% | rising |
| 18 | Canada | 124.19 million LCU | 2015 | up 63.5% | volatile |
| 19 | Australia | 115.52 million LCU | 2015 | up 34.2% | flat |
| 20 | South Africa | 95.84 million LCU | 2015 | up 665.2% | volatile |
| 21 | Morocco | 78.88 million LCU | 2015 | up 73.8% | rising |
| 22 | Peru | 50.09 million LCU | 2015 | up 151.1% | rising |
| 23 | T�rkiye | 37.84 million LCU | 2015 | up 100.0% | volatile |
| 24 | New Zealand | 30.71 million LCU | 2015 | up 41.6% | rising |
| 25 | Denmark | 25.7 million LCU | 2015 | up 259.6% | volatile |
| 26 | Croatia | 15.43 million LCU | 2015 | up 70.3% | rising |
| 27 | Sweden | 13.33 million LCU | 2015 | up 201.6% | volatile |
| 28 | United Kingdom of Great Britain and Northern Ireland | 11.37 million LCU | 2015 | up 115.7% | volatile |
| 29 | Switzerland | 10.99 million LCU | 2015 | down 32.7% | falling |
| 30 | Malaysia | 10.96 million LCU | 2015 | up 827.0% | volatile |
| 31 | Tunisia | 9.13 million LCU | 2015 | up 59.6% | rising |
| 32 | China, Hong Kong SAR | 4.63 million LCU | 2015 | up 164.2% | rising |
| 33 | Netherlands (Kingdom of the) | 2.97 million LCU | 2015 | down 75.4% | falling |
| 34 | Cyprus | 2.16 million LCU | 2015 | up 237.5% | rising |
| 35 | Ecuador | 0.8944 million LCU | 2020 | up 186.9% | rising |
| 36 | Lithuania | 0.2648 million LCU | 2015 | up 206.1% | volatile |
| 37 | Singapore | 0.1911 million LCU | 2015 | up 295.7% | volatile |
| 38 | Brunei Darussalam | 0.0118 million LCU | 2015 | up 172.6% | volatile |
| 39 | Luxembourg | -0.231 million LCU | 2015 | down 45.4% | rising |
| 40 | Malta | -0.326 million LCU | 2015 | down 410.2% | volatile |
| 41 | Estonia | -0.9059 million LCU | 2015 | up 41.1% | volatile |
| 42 | Slovakia | -1.1 million LCU | 2015 | up 90.5% | volatile |
| 43 | Belgium | -1.11 million LCU | 2015 | down 77.8% | volatile |
| 44 | Latvia | -1.67 million LCU | 2015 | down 3,419.8% | volatile |
| 45 | Slovenia | -2.78 million LCU | 2015 | up 97.2% | volatile |
| 46 | Ireland | -3.73 million LCU | 2015 | up 65.9% | rising |
| 47 | Portugal | -9.49 million LCU | 2015 | up 49.8% | rising |
| 48 | Bulgaria | -11.2 million LCU | 2015 | down 1,229.7% | volatile |
| 49 | Finland | -15.53 million LCU | 2015 | up 29.3% | rising |
| 50 | Saudi Arabia | -19.19 million LCU | 2014 | down 175.7% | falling |
| 51 | Austria | -31.68 million LCU | 2015 | down 7.5% | falling |
| 52 | Romania | -37.34 million LCU | 2015 | up 100.0% | volatile |
| 53 | Poland | -54.85 million LCU | 2015 | down 1,093.7% | volatile |
| 54 | Germany | -79.82 million LCU | 2015 | up 20.3% | rising |
| 55 | France | -86 million LCU | 2015 | down 247.4% | volatile |
| 56 | Norway | -127.96 million LCU | 2015 | down 56.2% | falling |
| 57 | Italy | -149.74 million LCU | 2015 | down 88.7% | falling |
| 58 | Greece | -165.1 million LCU | 2015 | down 611.4% | falling |
| 59 | China, Taiwan Province of | -198.15 million LCU | 2015 | up 15.7% | rising |
| 60 | Czechia | -236.08 million LCU | 2015 | up 47.7% | rising |
| 61 | Spain | -285.58 million LCU | 2015 | down 829.8% | falling |
| 62 | Japan | -5,048 million LCU | 2015 | down 111.6% | volatile |
| 63 | Hungary | -6,461 million LCU | 2015 | down 540.1% | 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 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).