India vs Republic of Korea: Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry

India
914.38 million USD
in 2015
Republic of Korea
858.06 million USD
in 2015
India rank
4th
Republic of Korea rank
5th

Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry over time

  • India
  • Republic of Korea
02505007501.0k1.2k200520102015

How they compare

India currently reports 914.38 million USD against 858.06 million USD in Republic of Korea, a difference of 56.32 million USD.

That makes India's figure about 1.1 times Republic of Korea's.

The two have swapped places 2 times across 11 shared years of data; in 2005 it was India ahead.

India ranks 4th and Republic of Korea ranks 5th of 63 countries.

India has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade India Republic of Korea Difference Ahead
2000s 948.12 million USD 683.62 million USD 264.5 million USD India
2010s 878.27 million USD 809.28 million USD 68.99 million USD India

Averages of every year both report within each decade.

Frequently asked questions

Which has higher food and accommodation away from home (faafh) — agriculture, forestry, India or Republic of Korea?
India, at 914.38 million USD against 858.06 million USD in Republic of Korea as of 2015.
What is the difference in food and accommodation away from home (faafh) — agriculture, forestry between India and Republic of Korea?
56.32 million USD, with India ahead.
How many years of comparable data are there for India and Republic of Korea?
11 years are reported by both, from 2005 to 2015.
How do India and Republic of Korea rank globally for food and accommodation away from home (faafh) — agriculture, forestry?
India ranks 4th and Republic of Korea ranks 5th 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 US$. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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India vs Republic of Korea: Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 17 September 2026, from https://environment.statizoid.com/compare/food-and-accommodation-away-from-home-faafh-agriculture-forestry-and-fishing-labour-value-2/india/republic-of-korea/

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About this data

Indicator
Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry and Fishing — Labour — Value US$
Unit
million USD
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
65 places, 716 data points, 2005–2020
Last refreshed

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).