Food and Accommodation Away From Home (FAAFH) — Wholesale and retail trade — Operating surplus — 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 — Operating surplus — Value Local Currency is currently reported for 64 countries. The highest value is 31.19 million million LCU in Indonesia; the lowest is 1.26 million LCU in Brunei Darussalam.
The median across all reporting countries is 1,173 million LCU, and the mean is 662,810 million LCU.
Over the past decade 50 countries rose and 14 fell. The largest increase was in Argentina (up 806.6%), 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 | 31.19 million million LCU | 2015 | up 312.0% | rising |
| 1 | Viet Nam | 2.13 million million LCU | 2015 | up 492.1% | volatile |
| 2 | Republic of Korea | 4.51 million million LCU | 2015 | up 92.7% | rising |
| 3 | Japan | 2.80 million million LCU | 2015 | down 8.7% | falling |
| 4 | Colombia | 1.12 million million LCU | 2015 | up 58.7% | rising |
| 5 | Chile | 142,204 million LCU | 2015 | up 384.5% | rising |
| 6 | Russian Federation | 127,505 million LCU | 2015 | up 528.4% | rising |
| 7 | India | 104,925 million LCU | 2015 | up 134.1% | rising |
| 8 | Cambodia | 55,886 million LCU | 2015 | up 190.3% | rising |
| 9 | Thailand | 45,380 million LCU | 2015 | up 38.9% | rising |
| 10 | Costa Rica | 32,456 million LCU | 2015 | up 199.8% | rising |
| 11 | Mexico | 30,781 million LCU | 2015 | up 105.7% | rising |
| 12 | China, mainland | 26,520 million LCU | 2015 | up 242.5% | rising |
| 13 | Kazakhstan | 19,853 million LCU | 2015 | up 725.2% | volatile |
| 14 | Philippines | 14,218 million LCU | 2015 | up 146.2% | rising |
| 15 | China, Taiwan Province of | 13,094 million LCU | 2015 | up 8.6% | flat |
| 16 | Hungary | 12,091 million LCU | 2015 | up 34.7% | rising |
| 17 | Brazil | 7,631 million LCU | 2015 | up 349.0% | rising |
| 18 | Argentina | 5,839 million LCU | 2015 | up 806.6% | volatile |
| 19 | T�rkiye | 3,146 million LCU | 2015 | down 100.0% | volatile |
| 20 | Italy | 2,999 million LCU | 2015 | up 39.6% | rising |
| 21 | Czechia | 2,237 million LCU | 2015 | down 7.6% | falling |
| 22 | China, Hong Kong SAR | 2,154 million LCU | 2015 | down 13.0% | falling |
| 23 | Spain | 2,103 million LCU | 2015 | down 5.2% | falling |
| 24 | Canada | 2,022 million LCU | 2015 | up 133.5% | rising |
| 25 | United Kingdom of Great Britain and Northern Ireland | 1,903 million LCU | 2015 | up 7.7% | flat |
| 26 | Peru | 1,902 million LCU | 2015 | up 164.3% | rising |
| 27 | Germany | 1,464 million LCU | 2015 | up 14.1% | flat |
| 28 | Malaysia | 1,416 million LCU | 2015 | up 333.1% | rising |
| 29 | France | 1,347 million LCU | 2015 | up 25.1% | rising |
| 30 | Australia | 1,204 million LCU | 2015 | up 3.3% | rising |
| 31 | South Africa | 1,180 million LCU | 2015 | up 298.9% | rising |
| 32 | Sweden | 1,166 million LCU | 2015 | up 94.0% | rising |
| 33 | Iceland | 1,090 million LCU | 2015 | up 59.3% | rising |
| 34 | Poland | 1,048 million LCU | 2015 | up 30.3% | rising |
| 35 | Israel | 1,035 million LCU | 2015 | up 176.7% | rising |
| 36 | Norway | 739.89 million LCU | 2015 | up 135.4% | rising |
| 37 | Denmark | 656.52 million LCU | 2015 | up 55.5% | flat |
| 38 | Netherlands (Kingdom of the) | 642.44 million LCU | 2015 | up 12.2% | flat |
| 39 | Greece | 604.47 million LCU | 2015 | down 25.7% | falling |
| 40 | Switzerland | 556.69 million LCU | 2015 | down 17.6% | falling |
| 41 | Romania | 518.6 million LCU | 2015 | down 100.0% | volatile |
| 42 | Morocco | 480.48 million LCU | 2015 | up 30.4% | rising |
| 43 | Saudi Arabia | 437.26 million LCU | 2014 | up 604.4% | volatile |
| 44 | Portugal | 262.68 million LCU | 2015 | up 22.7% | rising |
| 45 | Austria | 235.3 million LCU | 2015 | up 30.8% | rising |
| 46 | Belgium | 223.74 million LCU | 2015 | up 23.5% | rising |
| 47 | Singapore | 174.65 million LCU | 2015 | up 96.4% | rising |
| 48 | New Zealand | 148.85 million LCU | 2015 | up 51.7% | rising |
| 49 | Croatia | 137.39 million LCU | 2015 | up 105.4% | rising |
| 50 | Tunisia | 122.57 million LCU | 2015 | up 218.9% | rising |
| 51 | Finland | 102.35 million LCU | 2015 | up 14.2% | rising |
| 52 | Ecuador | 80.47 million LCU | 2020 | up 7.3% | rising |
| 53 | Bulgaria | 55.22 million LCU | 2015 | up 96.6% | rising |
| 54 | Ireland | 20.87 million LCU | 2015 | down 73.8% | volatile |
| 55 | Slovenia | 16.55 million LCU | 2015 | down 99.4% | volatile |
| 56 | Cyprus | 15.1 million LCU | 2015 | up 112.8% | volatile |
| 57 | Slovakia | 14.44 million LCU | 2015 | down 95.3% | volatile |
| 58 | Malta | 14.25 million LCU | 2015 | up 400.1% | volatile |
| 59 | Latvia | 13.81 million LCU | 2015 | up 163.2% | rising |
| 60 | Lithuania | 8.91 million LCU | 2015 | down 39.3% | rising |
| 61 | Estonia | 8.91 million LCU | 2015 | down 89.8% | volatile |
| 62 | Luxembourg | 4.02 million LCU | 2015 | up 180.0% | rising |
| 63 | Brunei Darussalam | 1.26 million LCU | 2015 | down 29.7% | 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 26,347 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).