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 LCU 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 LCU.
Analysis
In 2015, food and accommodation away from home (faafh) — agriculture, forestry in Philippines stood at 16,172 million LCU.
The figure is up 7.5% on the previous year and up 117.4% over ten years.
Over the whole period, food and accommodation away from home (faafh) — agriculture, forestry in Philippines peaked at 17,520 million LCU in 2012 and was at its lowest, 6,508 million LCU, in 2007.
Philippines ranks 11th of 63 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 LCU | Change |
|---|---|---|
| 2005 | 7,439 million LCU | — |
| 2006 | 13,510 million LCU | +81.6% |
| 2007 | 6,508 million LCU | -51.8% |
| 2008 | 9,195 million LCU | +41.3% |
| 2009 | 11,136 million LCU | +21.1% |
| 2010 | 11,239 million LCU | +0.9% |
| 2011 | 11,629 million LCU | +3.5% |
| 2012 | 17,520 million LCU | +50.7% |
| 2013 | 13,488 million LCU | -23.0% |
| 2014 | 15,046 million LCU | +11.6% |
| 2015 | 16,172 million LCU | +7.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 9,557 million LCU | 6,508 million LCU | 13,510 million LCU | 5 |
| 2010s | 14,182 million LCU | 11,239 million LCU | 17,520 million LCU | 6 |
Countries ranked near Philippines
- 8 Russian Federation 79,004 million LCU compare
- 9 Thailand 48,039 million LCU compare
- 10 Hungary 27,085 million LCU compare
- 12 Costa Rica 15,667 million LCU compare
- 13 China, mainland 13,707 million LCU compare
- 14 Mexico 12,846 million LCU 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)
- Sawnwood — Production, annual growth rate 0 % change on previous year (2024)
- Sawnwood — Production, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood — Production, per capita 0.0042 m3 per person (2024)
- Sawnwood — Import quantity, annual growth rate -26.33 % change on previous year (2024)
- Sawnwood — Import quantity, per unit of GDP 0 m3 per US$ of GDP (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 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 Philippines?
- The highest recorded value was 17,520 million LCU in 2012.
- What is the lowest food and accommodation away from home (faafh) — agriculture, forestry recorded in Philippines?
- The lowest recorded value was 6,508 million LCU in 2007.
- How does Philippines rank for food and accommodation away from home (faafh) — agriculture, forestry?
- Philippines ranks 11th out of 63 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 117.4%. 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 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).