Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry and Fishing — Import — 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 — Import — Value Local Currency is currently reported for 64 countries. The highest value is 10.82 million million LCU in Viet Nam; the lowest is 0.6243 million LCU in Brunei Darussalam.
The median across all reporting countries is 378.2 million LCU, and the mean is 322,836 million LCU.
Over the past decade 52 countries rose and 12 fell. The largest increase was in South Africa (up 878.5%), 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 | Viet Nam | 10.82 million million LCU | 2015 | up 659.8% | volatile |
| 1 | Indonesia | 6.98 million million LCU | 2015 | up 100.6% | rising |
| 2 | Republic of Korea | 2.04 million million LCU | 2015 | up 74.0% | rising |
| 3 | Japan | 325,924 million LCU | 2015 | up 26.1% | rising |
| 4 | Colombia | 312,107 million LCU | 2015 | up 89.7% | rising |
| 5 | Chile | 43,725 million LCU | 2015 | up 135.5% | rising |
| 6 | Cambodia | 23,140 million LCU | 2015 | up 294.5% | rising |
| 7 | Russian Federation | 21,153 million LCU | 2015 | up 538.5% | rising |
| 8 | India | 15,736 million LCU | 2015 | up 107.1% | rising |
| 9 | Hungary | 15,486 million LCU | 2015 | up 97.9% | rising |
| 10 | China, mainland | 14,444 million LCU | 2015 | up 143.9% | rising |
| 11 | Thailand | 11,756 million LCU | 2015 | up 9.4% | rising |
| 12 | Costa Rica | 10,291 million LCU | 2015 | up 144.8% | rising |
| 13 | China, Taiwan Province of | 4,509 million LCU | 2015 | up 16.0% | rising |
| 14 | Mexico | 4,320 million LCU | 2015 | up 182.7% | rising |
| 15 | Philippines | 2,772 million LCU | 2015 | up 155.2% | rising |
| 16 | Kazakhstan | 1,998 million LCU | 2015 | up 60.5% | rising |
| 17 | Czechia | 1,618 million LCU | 2015 | down 10.0% | falling |
| 18 | Brazil | 1,351 million LCU | 2015 | up 283.3% | volatile |
| 19 | Malaysia | 956.43 million LCU | 2015 | up 141.6% | rising |
| 20 | Spain | 849.27 million LCU | 2015 | up 20.6% | rising |
| 21 | Germany | 837.25 million LCU | 2015 | up 54.1% | rising |
| 22 | Canada | 811.85 million LCU | 2015 | up 197.9% | rising |
| 23 | T�rkiye | 764.51 million LCU | 2015 | down 100.0% | volatile |
| 24 | Argentina | 616.4 million LCU | 2015 | up 505.5% | volatile |
| 25 | Italy | 615.72 million LCU | 2015 | up 45.3% | rising |
| 26 | Israel | 548.39 million LCU | 2015 | up 143.8% | rising |
| 27 | Norway | 511.46 million LCU | 2015 | up 203.6% | rising |
| 28 | Iceland | 488.87 million LCU | 2015 | up 150.5% | rising |
| 29 | France | 482.58 million LCU | 2015 | up 43.4% | rising |
| 30 | South Africa | 479.55 million LCU | 2015 | up 878.5% | volatile |
| 31 | Morocco | 399.18 million LCU | 2015 | up 54.4% | rising |
| 32 | Sweden | 357.22 million LCU | 2015 | up 27.5% | rising |
| 33 | United Kingdom of Great Britain and Northern Ireland | 328.42 million LCU | 2015 | up 3.0% | rising |
| 34 | China, Hong Kong SAR | 311.77 million LCU | 2015 | up 122.1% | rising |
| 35 | Peru | 284.22 million LCU | 2015 | up 145.7% | rising |
| 36 | Netherlands (Kingdom of the) | 271.76 million LCU | 2015 | up 47.3% | rising |
| 37 | Australia | 253.86 million LCU | 2015 | up 92.1% | rising |
| 38 | Poland | 227.02 million LCU | 2015 | up 131.9% | rising |
| 39 | Greece | 220.44 million LCU | 2015 | up 73.0% | rising |
| 40 | Denmark | 207.26 million LCU | 2015 | down 4.6% | flat |
| 41 | Switzerland | 204.8 million LCU | 2015 | down 20.9% | falling |
| 42 | Tunisia | 145.74 million LCU | 2015 | up 273.8% | rising |
| 43 | Romania | 135.19 million LCU | 2015 | down 100.0% | volatile |
| 44 | Belgium | 129.15 million LCU | 2015 | up 22.4% | rising |
| 45 | Saudi Arabia | 116.53 million LCU | 2014 | up 257.4% | volatile |
| 46 | Austria | 110.12 million LCU | 2015 | up 89.2% | rising |
| 47 | Portugal | 105.25 million LCU | 2015 | down 3.6% | falling |
| 48 | Croatia | 79.14 million LCU | 2015 | up 74.2% | rising |
| 49 | New Zealand | 51.6 million LCU | 2015 | up 42.1% | rising |
| 50 | Singapore | 46.71 million LCU | 2015 | up 85.2% | rising |
| 51 | Finland | 31 million LCU | 2015 | down 13.3% | rising |
| 52 | Bulgaria | 25.25 million LCU | 2015 | up 206.1% | rising |
| 53 | Ecuador | 21.46 million LCU | 2020 | up 0.3% | rising |
| 54 | Ireland | 15.02 million LCU | 2015 | down 57.7% | falling |
| 55 | Slovenia | 10.75 million LCU | 2015 | down 99.4% | volatile |
| 56 | Cyprus | 10.04 million LCU | 2015 | up 129.2% | rising |
| 57 | Slovakia | 9.88 million LCU | 2015 | down 90.8% | volatile |
| 58 | Malta | 6.96 million LCU | 2015 | up 234.1% | rising |
| 59 | Estonia | 5.29 million LCU | 2015 | down 86.1% | volatile |
| 60 | Latvia | 4.86 million LCU | 2015 | up 219.7% | rising |
| 61 | Lithuania | 4.24 million LCU | 2015 | up 27.3% | rising |
| 62 | Luxembourg | 3.34 million LCU | 2015 | up 80.0% | rising |
| 63 | Brunei Darussalam | 0.6243 million LCU | 2015 | down 18.2% | 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 3,192 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).