Brunei Darussalam vs Singapore: Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry
Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry over time
- Brunei Darussalam
- Singapore
How they compare
Singapore currently reports 0.1911 million SLC against 0.0118 million SLC in Brunei Darussalam, a difference of 0.1793 million SLC.
That makes Singapore's figure about 16.2 times Brunei Darussalam's.
Across all 11 years both countries report, Singapore has been ahead every year.
Brunei Darussalam ranks 37th and Singapore ranks 36th of 60 countries.
Singapore has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Brunei Darussalam | Singapore | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 0.0052 million SLC | 0.0493 million SLC | 0.0441 million SLC | Singapore |
| 2010s | 0.0135 million SLC | 0.1205 million SLC | 0.1071 million SLC | Singapore |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher food and accommodation away from home (faafh) — agriculture, forestry, Brunei Darussalam or Singapore?
- Singapore, at 0.1911 million SLC against 0.0118 million SLC in Brunei Darussalam as of 2015.
- What is the difference in food and accommodation away from home (faafh) — agriculture, forestry between Brunei Darussalam and Singapore?
- 0.1793 million SLC, with Singapore ahead.
- How many years of comparable data are there for Brunei Darussalam and Singapore?
- 11 years are reported by both, from 2005 to 2015.
- How do Brunei Darussalam and Singapore rank globally for food and accommodation away from home (faafh) — agriculture, forestry?
- Brunei Darussalam ranks 37th and Singapore ranks 36th of 60 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 — Taxes — Value SLC, 2015 prices. 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).