Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry and Fishing — 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) — Agriculture, Forestry and Fishing — Operating surplus — Value Local Currency is currently reported for 64 countries. The highest value is 58.51 million million LCU in Indonesia; the lowest is 0.2546 million LCU in Brunei Darussalam.
The median across all reporting countries is 688.34 million LCU, and the mean is 1.13 million million LCU.
Over the past decade 48 countries rose and 16 fell. The largest increase was in Viet Nam (up 1,204.4%), 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 | 58.51 million million LCU | 2015 | up 243.5% | rising |
| 1 | Viet Nam | 6.17 million million LCU | 2015 | up 1,204.4% | volatile |
| 2 | Republic of Korea | 4.62 million million LCU | 2015 | up 18.6% | rising |
| 3 | Colombia | 1.52 million million LCU | 2015 | up 77.0% | rising |
| 4 | Japan | 709,881 million LCU | 2015 | down 9.3% | falling |
| 5 | India | 302,172 million LCU | 2015 | up 72.9% | rising |
| 6 | Chile | 126,563 million LCU | 2015 | up 197.1% | rising |
| 7 | Cambodia | 96,160 million LCU | 2015 | up 590.6% | volatile |
| 8 | Russian Federation | 79,004 million LCU | 2015 | up 573.0% | volatile |
| 9 | Thailand | 48,039 million LCU | 2015 | up 53.8% | rising |
| 10 | Hungary | 27,085 million LCU | 2015 | up 57.5% | rising |
| 11 | Philippines | 16,172 million LCU | 2015 | up 117.4% | rising |
| 12 | Costa Rica | 15,667 million LCU | 2015 | up 120.3% | rising |
| 13 | China, mainland | 13,707 million LCU | 2015 | up 161.2% | volatile |
| 14 | Mexico | 12,846 million LCU | 2015 | up 121.5% | rising |
| 15 | Argentina | 9,629 million LCU | 2015 | up 1,173.2% | volatile |
| 16 | Brazil | 7,240 million LCU | 2015 | up 281.8% | rising |
| 17 | Kazakhstan | 6,492 million LCU | 2015 | up 62.4% | rising |
| 18 | China, Taiwan Province of | 6,208 million LCU | 2015 | up 41.4% | rising |
| 19 | T�rkiye | 4,267 million LCU | 2015 | down 100.0% | volatile |
| 20 | Malaysia | 3,019 million LCU | 2015 | up 235.8% | rising |
| 21 | Spain | 1,822 million LCU | 2015 | up 7.5% | flat |
| 22 | Czechia | 1,792 million LCU | 2015 | down 22.4% | falling |
| 23 | Morocco | 1,559 million LCU | 2015 | up 54.4% | rising |
| 24 | Iceland | 1,468 million LCU | 2015 | up 96.6% | rising |
| 25 | Peru | 1,334 million LCU | 2015 | up 162.7% | rising |
| 26 | Australia | 1,329 million LCU | 2015 | up 26.7% | rising |
| 27 | Canada | 1,327 million LCU | 2015 | up 290.8% | rising |
| 28 | Italy | 1,313 million LCU | 2015 | up 29.4% | rising |
| 29 | Norway | 1,103 million LCU | 2015 | up 146.1% | rising |
| 30 | France | 939.64 million LCU | 2015 | up 40.4% | rising |
| 31 | Greece | 729.37 million LCU | 2015 | up 39.3% | rising |
| 32 | South Africa | 647.31 million LCU | 2015 | up 369.1% | rising |
| 33 | Sweden | 511.45 million LCU | 2015 | up 67.2% | rising |
| 34 | Germany | 499.58 million LCU | 2015 | down 1.3% | rising |
| 35 | Israel | 450.98 million LCU | 2015 | up 151.8% | rising |
| 36 | Poland | 380.02 million LCU | 2015 | up 60.7% | rising |
| 37 | Tunisia | 370.73 million LCU | 2015 | up 192.4% | rising |
| 38 | Romania | 331.69 million LCU | 2015 | down 100.0% | volatile |
| 39 | United Kingdom of Great Britain and Northern Ireland | 311.45 million LCU | 2015 | down 16.8% | falling |
| 40 | Saudi Arabia | 259.66 million LCU | 2014 | up 153.9% | rising |
| 41 | Netherlands (Kingdom of the) | 179.22 million LCU | 2015 | up 3.0% | falling |
| 42 | Denmark | 170.66 million LCU | 2015 | down 33.3% | rising |
| 43 | New Zealand | 169.84 million LCU | 2015 | up 42.2% | rising |
| 44 | Switzerland | 147.2 million LCU | 2015 | down 30.5% | falling |
| 45 | Austria | 137.17 million LCU | 2015 | up 22.0% | rising |
| 46 | Croatia | 117.52 million LCU | 2015 | up 24.7% | rising |
| 47 | Portugal | 114.5 million LCU | 2015 | down 31.7% | falling |
| 48 | Ecuador | 103.83 million LCU | 2020 | up 13.8% | rising |
| 49 | Finland | 80.36 million LCU | 2015 | down 17.5% | rising |
| 50 | China, Hong Kong SAR | 74.08 million LCU | 2015 | up 111.9% | rising |
| 51 | Belgium | 59.02 million LCU | 2015 | down 0.4% | flat |
| 52 | Bulgaria | 41.3 million LCU | 2015 | up 18.6% | rising |
| 53 | Slovakia | 17.04 million LCU | 2015 | down 88.9% | volatile |
| 54 | Slovenia | 14.97 million LCU | 2015 | down 99.4% | volatile |
| 55 | Cyprus | 9.26 million LCU | 2015 | up 19.2% | rising |
| 56 | Ireland | 8.98 million LCU | 2015 | down 81.4% | falling |
| 57 | Estonia | 6.89 million LCU | 2015 | down 86.3% | volatile |
| 58 | Latvia | 5.98 million LCU | 2015 | up 140.0% | rising |
| 59 | Malta | 2.95 million LCU | 2015 | up 97.0% | rising |
| 60 | Lithuania | 2.86 million LCU | 2015 | down 63.5% | falling |
| 61 | Singapore | 0.6657 million LCU | 2015 | up 52.6% | rising |
| 62 | Luxembourg | 0.5632 million LCU | 2015 | up 29.6% | flat |
| 63 | Brunei Darussalam | 0.2546 million LCU | 2015 | up 13.6% | 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 8,595 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).