Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry in Philippines
Philippines: Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry was 16,172 million SLC in 2015. ▲ Rising
Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry in Philippines, 2005–2015
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Philippines recorded 16,172 million SLC for food and accommodation away from home (faafh) — agriculture, forestry in 2015.
That represents a change of up 8.3% on the previous year and up 57.6% over ten years.
Over the whole period, food and accommodation away from home (faafh) — agriculture, forestry in Philippines peaked at 18,294 million SLC in 2012 and was at its lowest, 8,279 million SLC, in 2007.
Philippines ranks 11th of 60 countries on this measure, 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 Philippines, year by year
| Year | million SLC | Change |
|---|---|---|
| 2005 | 10,260 million SLC | — |
| 2006 | 17,727 million SLC | +72.8% |
| 2007 | 8,279 million SLC | -53.3% |
| 2008 | 10,912 million SLC | +31.8% |
| 2009 | 12,864 million SLC | +17.9% |
| 2010 | 12,439 million SLC | -3.3% |
| 2011 | 12,385 million SLC | -0.4% |
| 2012 | 18,294 million SLC | +47.7% |
| 2013 | 13,800 million SLC | -24.6% |
| 2014 | 14,938 million SLC | +8.2% |
| 2015 | 16,172 million SLC | +8.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 12,008 million SLC | 8,279 million SLC | 17,727 million SLC | 5 |
| 2010s | 14,671 million SLC | 12,385 million SLC | 18,294 million SLC | 6 |
Countries ranked near Philippines
- 8 Russian Federation 79,004 million SLC compare
- 9 Thailand 48,039 million SLC compare
- 10 Hungary 27,085 million SLC compare
- 12 Costa Rica 15,667 million SLC compare
- 13 China, mainland 13,707 million SLC compare
- 14 Mexico 12,846 million SLC compare
More environment data for Philippines
- Historical exposure to drought — Land soil moisture anomaly 6.85 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 7.07 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.177 °C (2025)
- Temperature change 0.905 °C (2025)
- Sawlogs and veneer logs — Production, annual growth rate 0 % change on previous year (2024)
- Sawlogs and veneer logs, non-coniferous — Production, annual growth 0 % change on previous year (2024)
- Other industrial roundwood — Production, annual growth rate 0 % change on previous year (2024)
- Other industrial roundwood, non-coniferous (production) — Production 0 % change on previous year (2024)
- Wood charcoal — Production, annual growth rate 32.26 % change on previous year (2024)
Frequently asked questions
- What is food and accommodation away from home (faafh) — agriculture, forestry in Philippines?
- Food and accommodation away from home (faafh) — agriculture, forestry in Philippines was 16,172 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 Philippines?
- The highest recorded value was 18,294 million SLC in 2012.
- What is the lowest food and accommodation away from home (faafh) — agriculture, forestry recorded in Philippines?
- The lowest recorded value was 8,279 million SLC in 2007.
- How does Philippines rank for food and accommodation away from home (faafh) — agriculture, forestry?
- Philippines ranks 11th out of 60 countries with data for 2015.
- Is food and accommodation away from home (faafh) — agriculture, forestry rising or falling in Philippines?
- Over the last ten years it is up 57.6%. The long-run trend across the full record is rising.
- Where does this Philippines 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 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).