Food and Accommodation Away From Home (FAAFH) — Manufacture of food, beverages and tobacco products — Primary Factors Total — 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) — Manufacture of food, beverages and tobacco products — Primary Factors Total — Value Local Currency is currently reported for 65 countries. The highest value is 63.01 million million LCU in Indonesia; the lowest is 8.64 million LCU in Brunei Darussalam.
The median across all reporting countries is 3,648 million LCU, and the mean is 1.62 million million LCU.
Over the past decade 54 countries rose and 11 fell. The largest increase was in Kazakhstan (up 599.0%), and the largest decrease in T�rkiye (down 100.0%).
Food and Accommodation Away From Home (FAAFH) — Manufacture of food: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Indonesia | 63.01 million million LCU | 2015 | up 339.7% | rising |
| 1 | Viet Nam | 24.09 million million LCU | 2015 | up 458.5% | rising |
| 2 | Republic of Korea | 10.89 million million LCU | 2015 | up 99.8% | rising |
| 3 | Japan | 3.11 million million LCU | 2015 | up 3.5% | flat |
| 4 | Colombia | 2.92 million million LCU | 2015 | up 78.0% | rising |
| 5 | Chile | 363,061 million LCU | 2015 | up 200.1% | rising |
| 6 | Cambodia | 253,711 million LCU | 2015 | up 132.3% | rising |
| 7 | Costa Rica | 200,404 million LCU | 2015 | up 216.7% | rising |
| 8 | China, mainland | 119,660 million LCU | 2015 | up 196.7% | rising |
| 9 | Russian Federation | 113,175 million LCU | 2015 | up 418.8% | rising |
| 10 | India | 99,122 million LCU | 2015 | up 96.7% | rising |
| 11 | Thailand | 71,733 million LCU | 2015 | up 14.6% | rising |
| 12 | Hungary | 55,880 million LCU | 2015 | up 61.6% | rising |
| 13 | Philippines | 36,451 million LCU | 2015 | up 161.2% | rising |
| 14 | Kazakhstan | 28,650 million LCU | 2015 | up 599.0% | volatile |
| 15 | Mexico | 26,282 million LCU | 2015 | up 91.4% | rising |
| 16 | China, Taiwan Province of | 25,131 million LCU | 2015 | down 25.9% | rising |
| 17 | Brazil | 16,240 million LCU | 2015 | up 301.5% | rising |
| 18 | Bangladesh | 13,279 million LCU | 2021 | up 185.2% | rising |
| 19 | Canada | 7,390 million LCU | 2015 | up 122.6% | rising |
| 20 | China, Hong Kong SAR | 6,890 million LCU | 2015 | up 113.9% | rising |
| 21 | Spain | 6,874 million LCU | 2015 | up 6.4% | flat |
| 22 | Czechia | 6,508 million LCU | 2015 | down 14.6% | falling |
| 23 | Argentina | 5,508 million LCU | 2015 | up 499.1% | volatile |
| 24 | Germany | 5,427 million LCU | 2015 | up 27.8% | rising |
| 25 | Italy | 5,305 million LCU | 2015 | up 33.4% | rising |
| 26 | T�rkiye | 5,266 million LCU | 2015 | down 100.0% | volatile |
| 27 | Malaysia | 4,401 million LCU | 2015 | up 179.3% | rising |
| 28 | Sweden | 4,270 million LCU | 2015 | up 46.3% | rising |
| 29 | Israel | 4,158 million LCU | 2015 | up 115.6% | rising |
| 30 | France | 3,797 million LCU | 2015 | up 30.4% | rising |
| 31 | Norway | 3,704 million LCU | 2015 | up 168.4% | rising |
| 32 | South Africa | 3,648 million LCU | 2015 | up 457.0% | volatile |
| 33 | United Kingdom of Great Britain and Northern Ireland | 3,628 million LCU | 2015 | up 11.5% | rising |
| 34 | Australia | 2,832 million LCU | 2015 | up 9.0% | rising |
| 35 | Peru | 2,141 million LCU | 2015 | up 116.6% | rising |
| 36 | Iceland | 2,131 million LCU | 2015 | up 50.4% | rising |
| 37 | Denmark | 2,072 million LCU | 2015 | up 10.4% | rising |
| 38 | Poland | 1,900 million LCU | 2015 | up 63.3% | rising |
| 39 | Morocco | 1,828 million LCU | 2015 | up 120.1% | rising |
| 40 | Netherlands (Kingdom of the) | 1,395 million LCU | 2015 | up 22.2% | rising |
| 41 | Romania | 1,306 million LCU | 2015 | down 100.0% | volatile |
| 42 | Switzerland | 1,260 million LCU | 2015 | down 9.9% | falling |
| 43 | Saudi Arabia | 1,231 million LCU | 2014 | up 278.8% | volatile |
| 44 | Belgium | 825.02 million LCU | 2015 | up 48.4% | rising |
| 45 | Austria | 760.33 million LCU | 2015 | up 43.6% | rising |
| 46 | Singapore | 751.58 million LCU | 2015 | up 41.4% | rising |
| 47 | Greece | 735.91 million LCU | 2015 | down 7.8% | flat |
| 48 | Croatia | 637.88 million LCU | 2015 | up 212.0% | rising |
| 49 | Portugal | 612.88 million LCU | 2015 | up 4.9% | flat |
| 50 | Tunisia | 565.07 million LCU | 2015 | up 285.3% | volatile |
| 51 | New Zealand | 372.94 million LCU | 2015 | up 59.2% | rising |
| 52 | Ireland | 339.8 million LCU | 2015 | down 1.6% | falling |
| 53 | Finland | 324.41 million LCU | 2015 | up 26.5% | rising |
| 54 | Ecuador | 266.12 million LCU | 2020 | up 43.3% | rising |
| 55 | Bulgaria | 138.8 million LCU | 2015 | up 182.4% | rising |
| 56 | Slovenia | 64.12 million LCU | 2015 | down 99.4% | volatile |
| 57 | Slovakia | 52.09 million LCU | 2015 | down 94.4% | volatile |
| 58 | Cyprus | 49.83 million LCU | 2015 | up 103.8% | rising |
| 59 | Estonia | 36.7 million LCU | 2015 | down 82.7% | volatile |
| 60 | Latvia | 33.83 million LCU | 2015 | up 183.6% | rising |
| 61 | Malta | 28.58 million LCU | 2015 | up 196.0% | rising |
| 62 | Lithuania | 19.71 million LCU | 2015 | down 45.2% | rising |
| 63 | Luxembourg | 11.05 million LCU | 2015 | up 93.6% | rising |
| 64 | Brunei Darussalam | 8.64 million LCU | 2015 | up 10.0% | 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 46,126 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).