Food and Accommodation Away From Home (FAAFH) — Accommodation and food service activities — Labour — 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) — Accommodation and food service activities — Labour — Value Local Currency is currently reported for 64 countries. The highest value is 86.79 million million LCU in Indonesia; the lowest is 12.05 million LCU in Brunei Darussalam.
The median across all reporting countries is 11,746 million LCU, and the mean is 2.49 million million LCU.
Over the past decade 55 countries rose and 9 fell. The largest increase was in Argentina (up 856.6%), and the largest decrease in T�rkiye (down 100.0%).
Food and Accommodation Away From Home (FAAFH) — Accommodation and: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Indonesia | 86.79 million million LCU | 2015 | up 272.7% | rising |
| 1 | Viet Nam | 39.78 million million LCU | 2015 | up 456.4% | volatile |
| 2 | Republic of Korea | 19.15 million million LCU | 2015 | up 66.2% | rising |
| 3 | Colombia | 7.88 million million LCU | 2015 | up 134.5% | rising |
| 4 | Japan | 2.48 million million LCU | 2015 | down 35.5% | rising |
| 5 | Chile | 1.11 million million LCU | 2015 | up 185.0% | rising |
| 6 | Costa Rica | 300,124 million LCU | 2015 | up 163.3% | rising |
| 7 | China, mainland | 282,698 million LCU | 2015 | up 499.1% | volatile |
| 8 | Russian Federation | 227,677 million LCU | 2015 | up 327.1% | rising |
| 9 | Hungary | 177,704 million LCU | 2015 | up 39.1% | rising |
| 10 | Cambodia | 157,632 million LCU | 2015 | up 133.9% | rising |
| 11 | India | 140,049 million LCU | 2015 | up 182.8% | rising |
| 12 | China, Taiwan Province of | 136,251 million LCU | 2015 | up 67.3% | rising |
| 13 | Kazakhstan | 106,897 million LCU | 2015 | up 714.6% | volatile |
| 14 | Mexico | 97,702 million LCU | 2015 | up 49.1% | rising |
| 15 | Thailand | 62,705 million LCU | 2015 | up 49.8% | rising |
| 16 | Argentina | 55,645 million LCU | 2015 | up 856.6% | volatile |
| 17 | Philippines | 49,186 million LCU | 2015 | up 135.6% | rising |
| 18 | Brazil | 43,312 million LCU | 2015 | up 486.3% | volatile |
| 19 | Czechia | 22,993 million LCU | 2015 | up 36.8% | rising |
| 20 | Spain | 20,367 million LCU | 2015 | up 18.4% | rising |
| 21 | Canada | 19,641 million LCU | 2015 | up 33.9% | rising |
| 22 | United Kingdom of Great Britain and Northern Ireland | 19,506 million LCU | 2015 | up 33.2% | rising |
| 23 | Sweden | 18,090 million LCU | 2015 | up 64.7% | rising |
| 24 | Germany | 18,024 million LCU | 2015 | up 26.6% | rising |
| 25 | Italy | 17,252 million LCU | 2015 | up 32.2% | rising |
| 26 | France | 16,929 million LCU | 2015 | up 26.4% | rising |
| 27 | T�rkiye | 13,900 million LCU | 2015 | down 100.0% | volatile |
| 28 | Norway | 13,601 million LCU | 2015 | up 117.1% | rising |
| 29 | Australia | 13,306 million LCU | 2015 | up 59.4% | rising |
| 30 | China, Hong Kong SAR | 13,185 million LCU | 2015 | up 59.6% | rising |
| 31 | Israel | 12,801 million LCU | 2015 | up 127.7% | rising |
| 32 | Iceland | 10,691 million LCU | 2015 | up 186.9% | rising |
| 33 | Denmark | 8,376 million LCU | 2015 | up 60.0% | rising |
| 34 | South Africa | 6,594 million LCU | 2015 | up 281.1% | rising |
| 35 | Peru | 6,526 million LCU | 2015 | up 218.8% | rising |
| 36 | Malaysia | 5,572 million LCU | 2015 | up 94.2% | rising |
| 37 | Netherlands (Kingdom of the) | 5,195 million LCU | 2015 | up 29.6% | rising |
| 38 | Morocco | 4,274 million LCU | 2015 | up 148.5% | rising |
| 39 | Austria | 3,940 million LCU | 2015 | up 62.7% | rising |
| 40 | Switzerland | 3,715 million LCU | 2015 | down 8.1% | falling |
| 41 | Poland | 3,237 million LCU | 2015 | up 53.3% | rising |
| 42 | Croatia | 3,013 million LCU | 2015 | up 117.0% | rising |
| 43 | Portugal | 2,354 million LCU | 2015 | up 25.7% | rising |
| 44 | New Zealand | 2,151 million LCU | 2015 | up 75.6% | rising |
| 45 | Saudi Arabia | 2,066 million LCU | 2014 | up 15.3% | rising |
| 46 | Greece | 1,950 million LCU | 2015 | up 33.2% | rising |
| 47 | Romania | 1,930 million LCU | 2015 | down 100.0% | volatile |
| 48 | Singapore | 1,869 million LCU | 2015 | up 71.9% | rising |
| 49 | Belgium | 1,608 million LCU | 2015 | up 40.0% | rising |
| 50 | Ireland | 1,275 million LCU | 2015 | up 21.7% | flat |
| 51 | Finland | 1,238 million LCU | 2015 | up 43.8% | rising |
| 52 | Tunisia | 1,070 million LCU | 2015 | up 127.2% | rising |
| 53 | Bulgaria | 468.83 million LCU | 2015 | up 241.5% | rising |
| 54 | Ecuador | 396.82 million LCU | 2020 | up 59.1% | rising |
| 55 | Cyprus | 309.18 million LCU | 2015 | up 289.6% | rising |
| 56 | Slovenia | 197.95 million LCU | 2015 | down 99.5% | volatile |
| 57 | Slovakia | 179.4 million LCU | 2015 | down 93.7% | volatile |
| 58 | Luxembourg | 107.31 million LCU | 2015 | up 164.2% | rising |
| 59 | Lithuania | 106.76 million LCU | 2015 | down 48.2% | falling |
| 60 | Latvia | 99.98 million LCU | 2015 | up 271.4% | rising |
| 61 | Estonia | 89.19 million LCU | 2015 | down 85.7% | volatile |
| 62 | Malta | 85.55 million LCU | 2015 | up 307.0% | rising |
| 63 | Brunei Darussalam | 12.05 million LCU | 2015 | down 1.0% | 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 338,956 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).