Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry in China, mainland
China, mainland: Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry was 1,860 million SLC in 2015. ▲ Rising
Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry in China, mainland, 2005–2015
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
The most recent figure for food and accommodation away from home (faafh) — agriculture, forestry in China, mainland is 1,860 million SLC, measured in 2015. That is the lowest value across all 11 years on record.
Compared with earlier readings it is down 55.3% on the previous year and down 52.1% over ten years.
Over the whole period, food and accommodation away from home (faafh) — agriculture, forestry in China, mainland peaked at 8,729 million SLC in 2012 and was at its lowest, 1,860 million SLC, in 2015.
That places China, mainland 9th out of 60 countries with data for 2015, putting it in the top quarter.
The long-run direction has been consistently rising across the 11 years of available data.
Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry in China, mainland, year by year
| Year | million SLC | Change |
|---|---|---|
| 2005 | 3,879 million SLC | — |
| 2006 | 4,215 million SLC | +8.7% |
| 2007 | 3,914 million SLC | -7.2% |
| 2008 | 3,973 million SLC | +1.5% |
| 2009 | 3,504 million SLC | -11.8% |
| 2010 | 3,500 million SLC | -0.1% |
| 2011 | 6,074 million SLC | +73.5% |
| 2012 | 8,729 million SLC | +43.7% |
| 2013 | 6,316 million SLC | -27.6% |
| 2014 | 4,156 million SLC | -34.2% |
| 2015 | 1,860 million SLC | -55.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 3,897 million SLC | 3,504 million SLC | 4,215 million SLC | 5 |
| 2010s | 5,106 million SLC | 1,860 million SLC | 8,729 million SLC | 6 |
Countries ranked near China, mainland
- 6 Cambodia 7,172 million SLC compare
- 7 Russian Federation 2,323 million SLC compare
- 8 Costa Rica 1,946 million SLC compare
- 10 Argentina 1,343 million SLC compare
- 11 Philippines 1,136 million SLC compare
- 12 Thailand 1,042 million SLC compare
More environment data for China, mainland
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.279 °C (2025)
- Temperature change 1.92 °C (2025)
- Permanent crops — Area 20,142 1000 ha (2024)
- Agricultural land — Value of agricultural production (Int. $) per Area 2,591 USD_PPP/ha (2024)
- Arable land — Share in Agricultural land 27.68 % (2024)
- Arable land — Area 108,466 1000 ha (2024)
- Cropland — Area 128,608 1000 ha (2024)
- Cropland — Area per capita 0.09 ha/cap (2024)
- Cropland — Share in Land area 13.7 % (2024)
Frequently asked questions
- What is food and accommodation away from home (faafh) — agriculture, forestry in China, mainland?
- Food and accommodation away from home (faafh) — agriculture, forestry in China, mainland was 1,860 million SLC in 2015, according to Food and Agriculture Organization of the United Nations.
- What is the highest food and accommodation away from home (faafh) — agriculture, forestry recorded in China, mainland?
- The highest recorded value was 8,729 million SLC in 2012.
- What is the lowest food and accommodation away from home (faafh) — agriculture, forestry recorded in China, mainland?
- The lowest recorded value was 1,860 million SLC in 2015.
- How does China, mainland rank for food and accommodation away from home (faafh) — agriculture, forestry?
- China, mainland ranks 9th out of 60 countries with data for 2015.
- Is food and accommodation away from home (faafh) — agriculture, forestry rising or falling in China, mainland?
- Over the last ten years it is down 52.1%. The long-run trend across the full record is rising.
- Where does this China, mainland data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry and Fishing — Taxes — Value SLC, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 11 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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).