Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry and Fishing — 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) — Agriculture, Forestry and Fishing — Labour — Value Local Currency is currently reported for 64 countries. The highest value is 20.01 million million LCU in Indonesia; the lowest is 0.1881 million LCU in Brunei Darussalam.
The median across all reporting countries is 317.97 million LCU, and the mean is 544,930 million LCU.
Over the past decade 48 countries rose and 16 fell. The largest increase was in Argentina (up 995.7%), and the largest decrease in T�rkiye (down 100.0%).
Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Indonesia | 20.01 million million LCU | 2015 | up 297.3% | rising |
| 1 | Viet Nam | 12.72 million million LCU | 2015 | up 431.9% | rising |
| 2 | Republic of Korea | 970,427 million LCU | 2015 | up 45.4% | rising |
| 3 | Colombia | 560,965 million LCU | 2015 | up 46.4% | rising |
| 4 | Japan | 202,860 million LCU | 2015 | up 47.6% | rising |
| 5 | China, mainland | 125,166 million LCU | 2015 | up 137.0% | rising |
| 6 | Cambodia | 67,195 million LCU | 2015 | up 594.8% | volatile |
| 7 | Chile | 61,716 million LCU | 2015 | up 108.9% | rising |
| 8 | India | 58,659 million LCU | 2015 | up 74.4% | rising |
| 9 | Russian Federation | 22,204 million LCU | 2015 | up 447.1% | rising |
| 10 | Thailand | 19,073 million LCU | 2015 | up 61.3% | rising |
| 11 | Philippines | 12,021 million LCU | 2015 | up 147.0% | rising |
| 12 | Costa Rica | 11,052 million LCU | 2015 | up 133.9% | rising |
| 13 | Hungary | 8,275 million LCU | 2015 | up 22.6% | rising |
| 14 | Argentina | 3,975 million LCU | 2015 | up 995.7% | volatile |
| 15 | Mexico | 2,762 million LCU | 2015 | up 104.4% | rising |
| 16 | Brazil | 2,354 million LCU | 2015 | up 67.6% | rising |
| 17 | China, Taiwan Province of | 2,108 million LCU | 2015 | up 15.7% | rising |
| 18 | Kazakhstan | 2,031 million LCU | 2015 | up 72.7% | rising |
| 19 | Czechia | 854.5 million LCU | 2015 | down 44.9% | falling |
| 20 | Malaysia | 701.79 million LCU | 2015 | up 71.5% | rising |
| 21 | Iceland | 630.44 million LCU | 2015 | up 74.5% | rising |
| 22 | Canada | 542 million LCU | 2015 | up 108.3% | rising |
| 23 | Israel | 536.06 million LCU | 2015 | up 136.1% | rising |
| 24 | Australia | 501.09 million LCU | 2015 | up 38.4% | rising |
| 25 | Italy | 450.18 million LCU | 2015 | up 6.9% | flat |
| 26 | Norway | 429.18 million LCU | 2015 | up 221.1% | rising |
| 27 | Spain | 417.25 million LCU | 2015 | down 19.0% | falling |
| 28 | South Africa | 398.37 million LCU | 2015 | up 506.1% | volatile |
| 29 | France | 393.6 million LCU | 2015 | up 33.8% | rising |
| 30 | Peru | 322.88 million LCU | 2015 | up 148.4% | rising |
| 31 | T�rkiye | 321.22 million LCU | 2015 | down 100.0% | volatile |
| 32 | Sweden | 314.72 million LCU | 2015 | up 25.0% | rising |
| 33 | Morocco | 265.88 million LCU | 2015 | up 88.1% | rising |
| 34 | Germany | 264.92 million LCU | 2015 | down 18.6% | flat |
| 35 | United Kingdom of Great Britain and Northern Ireland | 220.71 million LCU | 2015 | up 12.2% | rising |
| 36 | Poland | 121.7 million LCU | 2015 | up 74.8% | rising |
| 37 | Greece | 103.67 million LCU | 2015 | up 8.6% | rising |
| 38 | Denmark | 97.7 million LCU | 2015 | down 36.6% | flat |
| 39 | Tunisia | 89.13 million LCU | 2015 | up 192.2% | rising |
| 40 | New Zealand | 88.43 million LCU | 2015 | up 41.9% | rising |
| 41 | Netherlands (Kingdom of the) | 75.22 million LCU | 2015 | up 2.7% | falling |
| 42 | Switzerland | 68.29 million LCU | 2015 | down 35.4% | falling |
| 43 | Romania | 52.68 million LCU | 2015 | down 100.0% | volatile |
| 44 | China, Hong Kong SAR | 50.54 million LCU | 2015 | up 130.5% | rising |
| 45 | Portugal | 43.74 million LCU | 2015 | down 9.8% | falling |
| 46 | Ecuador | 43.57 million LCU | 2020 | up 27.7% | rising |
| 47 | Croatia | 39.04 million LCU | 2015 | up 28.0% | rising |
| 48 | Saudi Arabia | 35.39 million LCU | 2014 | up 42.0% | rising |
| 49 | Austria | 30.26 million LCU | 2015 | up 61.2% | rising |
| 50 | Finland | 21.14 million LCU | 2015 | down 16.4% | rising |
| 51 | Belgium | 18.47 million LCU | 2015 | down 20.0% | falling |
| 52 | Bulgaria | 9.49 million LCU | 2015 | up 90.1% | rising |
| 53 | Slovakia | 4.35 million LCU | 2015 | down 94.4% | volatile |
| 54 | Estonia | 3.02 million LCU | 2015 | down 88.0% | volatile |
| 55 | Cyprus | 2.92 million LCU | 2015 | up 36.1% | rising |
| 56 | Slovenia | 2.89 million LCU | 2015 | down 99.7% | volatile |
| 57 | Ireland | 2.7 million LCU | 2015 | down 75.4% | falling |
| 58 | Latvia | 2.5 million LCU | 2015 | up 162.2% | rising |
| 59 | Lithuania | 1.43 million LCU | 2015 | down 29.5% | falling |
| 60 | Malta | 1.04 million LCU | 2015 | up 83.2% | rising |
| 61 | Singapore | 0.68 million LCU | 2015 | up 74.4% | rising |
| 62 | Luxembourg | 0.1906 million LCU | 2015 | up 36.4% | falling |
| 63 | Brunei Darussalam | 0.1881 million LCU | 2015 | down 0.7% | 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 4,871 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).