Food and Accommodation Away From Home (FAAFH) — Wholesale and retail trade — 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) — Wholesale and retail trade — Taxes — Value Local Currency is currently reported for 64 countries. The highest value is 447,688 million LCU in Indonesia; the lowest is 0.0568 million LCU in Brunei Darussalam.
The median across all reporting countries is 118.41 million LCU, and the mean is 26,201 million LCU.
Over the past decade 47 countries rose and 17 fell. The largest increase was in Argentina (up 1,059.7%), 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 | 447,688 million LCU | 2015 | up 6.0% | falling |
| 1 | Viet Nam | 358,152 million LCU | 2015 | down 6.7% | falling |
| 2 | Republic of Korea | 418,708 million LCU | 2015 | up 64.3% | rising |
| 3 | Japan | 216,180 million LCU | 2015 | up 45.8% | rising |
| 4 | Colombia | 156,016 million LCU | 2015 | up 255.1% | rising |
| 5 | China, mainland | 26,870 million LCU | 2015 | up 356.0% | volatile |
| 6 | Russian Federation | 11,005 million LCU | 2015 | up 491.1% | volatile |
| 7 | Chile | 10,610 million LCU | 2015 | up 120.3% | rising |
| 8 | India | 7,356 million LCU | 2015 | up 235.0% | rising |
| 9 | Cambodia | 5,237 million LCU | 2015 | up 373.3% | rising |
| 10 | Costa Rica | 4,057 million LCU | 2015 | up 186.3% | rising |
| 11 | Thailand | 3,557 million LCU | 2015 | up 48.1% | rising |
| 12 | Hungary | 2,035 million LCU | 2015 | up 97.9% | rising |
| 13 | Philippines | 1,487 million LCU | 2015 | up 166.5% | rising |
| 14 | Argentina | 1,371 million LCU | 2015 | up 1,059.7% | volatile |
| 15 | Brazil | 685.21 million LCU | 2015 | up 307.1% | rising |
| 16 | China, Taiwan Province of | 632.5 million LCU | 2015 | up 21.7% | flat |
| 17 | United Kingdom of Great Britain and Northern Ireland | 533.38 million LCU | 2015 | up 43.1% | rising |
| 18 | Sweden | 528.31 million LCU | 2015 | up 316.2% | rising |
| 19 | Mexico | 423.7 million LCU | 2015 | up 201.8% | rising |
| 20 | Italy | 326.05 million LCU | 2015 | up 41.7% | rising |
| 21 | Australia | 315.75 million LCU | 2015 | down 13.1% | falling |
| 22 | Israel | 312.81 million LCU | 2015 | up 141.7% | rising |
| 23 | France | 297.86 million LCU | 2015 | up 33.4% | rising |
| 24 | Kazakhstan | 286.48 million LCU | 2015 | up 43.8% | rising |
| 25 | Canada | 268.49 million LCU | 2015 | up 84.9% | rising |
| 26 | Iceland | 232.25 million LCU | 2015 | up 57.5% | rising |
| 27 | Spain | 190.07 million LCU | 2015 | up 63.1% | rising |
| 28 | Czechia | 171.35 million LCU | 2015 | down 0.2% | falling |
| 29 | South Africa | 133.84 million LCU | 2015 | up 217.9% | rising |
| 30 | T�rkiye | 125.03 million LCU | 2015 | down 100.0% | volatile |
| 31 | Norway | 124.82 million LCU | 2015 | up 102.2% | rising |
| 32 | Peru | 112.01 million LCU | 2015 | up 490.4% | volatile |
| 33 | Germany | 111.51 million LCU | 2015 | down 36.6% | falling |
| 34 | Romania | 85.1 million LCU | 2015 | down 100.0% | volatile |
| 35 | China, Hong Kong SAR | 75.19 million LCU | 2015 | down 37.2% | falling |
| 36 | Denmark | 61.09 million LCU | 2015 | down 15.6% | falling |
| 37 | Switzerland | 58.8 million LCU | 2015 | up 1.0% | flat |
| 38 | Malaysia | 57.8 million LCU | 2015 | up 319.0% | rising |
| 39 | Poland | 50.5 million LCU | 2015 | down 8.5% | falling |
| 40 | New Zealand | 39.79 million LCU | 2015 | up 75.9% | rising |
| 41 | Greece | 39.33 million LCU | 2015 | up 22.6% | falling |
| 42 | Austria | 33.96 million LCU | 2015 | up 66.8% | rising |
| 43 | Croatia | 31.81 million LCU | 2015 | up 152.9% | rising |
| 44 | Morocco | 29.02 million LCU | 2015 | up 91.0% | rising |
| 45 | Netherlands (Kingdom of the) | 27.73 million LCU | 2015 | up 20.2% | flat |
| 46 | Saudi Arabia | 25.76 million LCU | 2014 | up 512.2% | volatile |
| 47 | Portugal | 20.72 million LCU | 2015 | up 35.2% | rising |
| 48 | Belgium | 17.06 million LCU | 2015 | down 13.0% | falling |
| 49 | Finland | 12.93 million LCU | 2015 | up 47.0% | rising |
| 50 | Singapore | 5.89 million LCU | 2015 | up 146.4% | rising |
| 51 | Cyprus | 4.6 million LCU | 2015 | up 189.0% | volatile |
| 52 | Bulgaria | 3.85 million LCU | 2015 | up 86.0% | rising |
| 53 | Tunisia | 2.85 million LCU | 2015 | down 13.4% | rising |
| 54 | Ecuador | 2.26 million LCU | 2020 | up 160.9% | rising |
| 55 | Slovenia | 2.1 million LCU | 2015 | down 99.4% | volatile |
| 56 | Slovakia | 1.19 million LCU | 2015 | down 95.1% | volatile |
| 57 | Latvia | 0.8728 million LCU | 2015 | up 221.6% | rising |
| 58 | Estonia | 0.6605 million LCU | 2015 | down 81.9% | volatile |
| 59 | Ireland | 0.6074 million LCU | 2015 | down 90.8% | volatile |
| 60 | Malta | 0.599 million LCU | 2015 | up 229.8% | rising |
| 61 | Luxembourg | 0.3617 million LCU | 2015 | up 215.4% | rising |
| 62 | Lithuania | 0.2699 million LCU | 2015 | down 35.7% | falling |
| 63 | Brunei Darussalam | 0.0568 million LCU | 2015 | down 7.3% | 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 2,722 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).