Republic of Korea vs Viet Nam: Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry
Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry over time
- Republic of Korea
- Viet Nam
How they compare
Viet Nam currently reports 12.72 million million LCU against 970,427 million LCU in Republic of Korea, a difference of 11.75 million million LCU.
That makes Viet Nam's figure about 13.1 times Republic of Korea's.
Across all 11 years both countries report, Viet Nam has been ahead every year.
Republic of Korea ranks 2nd and Viet Nam ranks 1st of 63 countries.
Viet Nam has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Republic of Korea | Viet Nam | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 720,146 million LCU | 3.81 million million LCU | 3.09 million million LCU | Viet Nam |
| 2010s | 898,246 million LCU | 9.26 million million LCU | 8.36 million million LCU | Viet Nam |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher food and accommodation away from home (faafh) — agriculture, forestry, Republic of Korea or Viet Nam?
- Viet Nam, at 12.72 million million LCU against 970,427 million LCU in Republic of Korea as of 2015.
- What is the difference in food and accommodation away from home (faafh) — agriculture, forestry between Republic of Korea and Viet Nam?
- 11.75 million million LCU, with Viet Nam ahead.
- How many years of comparable data are there for Republic of Korea and Viet Nam?
- 11 years are reported by both, from 2005 to 2015.
- How do Republic of Korea and Viet Nam rank globally for food and accommodation away from home (faafh) — agriculture, forestry?
- Republic of Korea ranks 2nd and Viet Nam ranks 1st of 63 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry and Fishing — Labour — Value Local Currency. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
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).