Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry in Singapore
Singapore: Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry was 0.4842 million USD in 2015. ▲ Rising
Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry in Singapore, 2005–2015
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
In 2015, food and accommodation away from home (faafh) — agriculture, forestry in Singapore stood at 0.4842 million USD. That is the highest value across all 11 years on record.
That represents a change of up 58.0% on the previous year and up 32.6% over ten years.
Over the whole period, food and accommodation away from home (faafh) — agriculture, forestry in Singapore peaked at 0.4842 million USD in 2015 and was at its lowest, 0.1358 million USD, in 2008.
That places Singapore 61st out of 62 countries with data for 2015, putting it in the bottom 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 Singapore, year by year
| Year | million USD | Change |
|---|---|---|
| 2005 | 0.3651 million USD | — |
| 2006 | 0.2424 million USD | -33.6% |
| 2007 | 0.1773 million USD | -26.9% |
| 2008 | 0.1358 million USD | -23.4% |
| 2009 | 0.2025 million USD | +49.2% |
| 2010 | 0.2472 million USD | +22.0% |
| 2011 | 0.2843 million USD | +15.0% |
| 2012 | 0.1832 million USD | -35.6% |
| 2013 | 0.2704 million USD | +47.6% |
| 2014 | 0.3064 million USD | +13.3% |
| 2015 | 0.4842 million USD | +58.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0.2246 million USD | 0.1358 million USD | 0.3651 million USD | 5 |
| 2010s | 0.2959 million USD | 0.1832 million USD | 0.4842 million USD | 6 |
Countries ranked near Singapore
- 58 Malta 3.27 million USD compare
- 59 Lithuania 3.18 million USD compare
- 60 Luxembourg 0.6246 million USD compare
- 62 Brunei Darussalam 0.1852 million USD compare
More environment data for Singapore
- Historical exposure to drought — Land soil moisture anomaly -1.71 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -0.9965 Percentage change (2025)
- Standard Deviation, annual growth rate 42.94 % change on previous year (1990)
- Standard Deviation 0.253 °C (1990)
- Temperature change 0.647 °C (1990)
- Roundwood — Import value, annual growth rate -91.42 % change on previous year (2024)
- Roundwood — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
- Roundwood — Import value, per capita 0.0004 1000 USD per person (2024)
- Roundwood — Export quantity, annual growth rate -75.21 % change on previous year (2024)
- Roundwood — Export quantity, per capita 0.0007 m3 per person (2024)
Frequently asked questions
- What is food and accommodation away from home (faafh) — agriculture, forestry in Singapore?
- Food and accommodation away from home (faafh) — agriculture, forestry in Singapore was 0.4842 million USD 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 Singapore?
- The highest recorded value was 0.4842 million USD in 2015.
- What is the lowest food and accommodation away from home (faafh) — agriculture, forestry recorded in Singapore?
- The lowest recorded value was 0.1358 million USD in 2008.
- How does Singapore rank for food and accommodation away from home (faafh) — agriculture, forestry?
- Singapore ranks 61st out of 62 countries with data for 2015.
- Is food and accommodation away from home (faafh) — agriculture, forestry rising or falling in Singapore?
- Over the last ten years it is up 32.6%. The long-run trend across the full record is rising.
- Where does this Singapore 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 — Operating surplus — Value US$, 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).