Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry in Singapore
Singapore: Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry was 0.68 million LCU 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 LCU.
Analysis
In 2015, food and accommodation away from home (faafh) — agriculture, forestry in Singapore stood at 0.68 million LCU. That is the highest value across all 11 years on record.
Compared with earlier readings it is up 67.4% on the previous year and up 74.4% over ten years.
Over the whole period, food and accommodation away from home (faafh) — agriculture, forestry in Singapore peaked at 0.68 million LCU in 2015 and was at its lowest, 0.1845 million LCU, in 2008.
That places Singapore 61st out of 63 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 LCU | Change |
|---|---|---|
| 2005 | 0.3899 million LCU | — |
| 2006 | 0.2838 million LCU | -27.2% |
| 2007 | 0.2413 million LCU | -15.0% |
| 2008 | 0.1845 million LCU | -23.5% |
| 2009 | 0.2862 million LCU | +55.1% |
| 2010 | 0.3685 million LCU | +28.8% |
| 2011 | 0.4281 million LCU | +16.2% |
| 2012 | 0.2685 million LCU | -37.3% |
| 2013 | 0.3349 million LCU | +24.7% |
| 2014 | 0.4063 million LCU | +21.3% |
| 2015 | 0.68 million LCU | +67.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0.2771 million LCU | 0.1845 million LCU | 0.3899 million LCU | 5 |
| 2010s | 0.4144 million LCU | 0.2685 million LCU | 0.68 million LCU | 6 |
Countries ranked near Singapore
- 58 Latvia 2.5 million LCU compare
- 59 Lithuania 1.43 million LCU compare
- 60 Malta 1.04 million LCU compare
- 62 Luxembourg 0.1906 million LCU compare
- 63 Brunei Darussalam 0.1881 million LCU 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)
- Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 3.04 % change on previous year (2024)
- Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 0 million USD per US$ of GDP (2024)
- Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 0 million USD per person (2024)
- Primary wood and paper products (export/import) — Import value -10.78 % change on previous year (2024)
- Primary wood and paper products (export/import) — Import value, per 0 1000 USD per US$ of GDP (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 0.68 million LCU 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 0.68 million LCU in 2015.
- What is the lowest food and accommodation away from home (faafh) — agriculture, forestry recorded in Singapore?
- The lowest recorded value was 0.1845 million LCU in 2008.
- How does Singapore rank for food and accommodation away from home (faafh) — agriculture, forestry?
- Singapore ranks 61st out of 63 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 74.4%. 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 — Labour — Value Local Currency. 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).