As of January 2024, the prices of essential goods in the Philippines increased compared to the same month in the previous year. Except for rice, most basic goods noted a significant increase in prices. For instance, the price of six kilograms of meat rose from nearly 1,600 Philippine pesos in 2022 to 1,843 Philippine pesos in 2024. In addition, the cost of eight kilograms of vegetables increased from 698 to 857 Philippine pesos.

Cost of food in Philippines increased 0.50 percent in October of 2025 over the same month in the previous year. This dataset provides the latest reported value for - Philippines Food Inflation - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

According to a 2023 survey by Rakuten Insight on inflation in the Philippines, the majority of respondents indicated that they were most affected by the increase of groceries prices. Price increase in fuel and gas was also impactful to Filipino consumers, as stated by ** percent of respondents.

The average canned food export price stood at $1,256 per ton in January 2025, rising by 4.8% against the previous month.

In 2024, the consumer price index (CPI) of food in the Philippines was about ** points higher compared to the base year 2018. The food prices in the country have significantly increased in the observed period. The CPI is a measure of the average change over time in the prices paid by consumers for consumer goods.

In 2024, the consumer price index (CPI) of rice in the Philippines was ** points higher compared to the base year 2018. The price of rice in the country peaked in the current year. The CPI is a measure of the average change over time in the prices paid by consumers for consumer goods.

Abstract

Food price inflation is an important metric to inform economic policy but traditional sources of consumer prices are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual price trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes food price estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.

Geographic coverage notes

The data cover the following areas: Afghanistan, Armenia, Bangladesh, Burkina Faso, Burundi, Cameroon, Central African Republic, Chad, Congo, Dem. Rep., Congo, Rep., Gambia, The, Guinea, Guinea-Bissau, Haiti, Indonesia, Iraq, Kenya, Lao PDR, Lebanon, Liberia, Libya, Malawi, Mali, Mauritania, Mozambique, Myanmar, Niger, Nigeria, Philippines, Senegal, Somalia, South Sudan, Sri Lanka, Sudan, Syrian Arab Republic, Yemen, Rep.

Philippines Retail Price: Rice Premium: Metro Manila data was reported at 52.000 PHP/kg in 07 Dec 2018. This records an increase from the previous number of 47.000 PHP/kg for 30 Nov 2018. Philippines Retail Price: Rice Premium: Metro Manila data is updated weekly, averaging 45.000 PHP/kg from Dec 2013 (Median) to 07 Dec 2018, with 259 observations. The data reached an all-time high of 54.000 PHP/kg in 31 Aug 2018 and a record low of 42.000 PHP/kg in 18 Apr 2014. Philippines Retail Price: Rice Premium: Metro Manila data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.P001: Retail Price: Selected Agricultural Commodities.

Inflation Rate in Philippines remained unchanged at 1.70 percent in October. This dataset provides the latest reported value for - Philippines Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Informal traditional retailers accounted for nearly **** of the total food retail sales in the Philippines in 2023, making them the leading food retail channel. This was followed by supermarkets, which contributed to about a ******* of those sales. What makes informal traditional retailers popular?  With easily collapsible stalls found in very accessible spots, informal traditional retailers are usually spread out in various locations in the Philippines. These retailers typically provide fresh food items such as fruits, vegetables, fish, and meat that could be sold at a much cheaper price as they are not regulated. These sellers also have lower operating expenses as they do not need to pay rent. In addition, such retailers can offer better deals, depending on the availability of the products they are selling. Recovering from losses brought by the pandemic, the retail sales of informal traditional retailers increased by about *** percent between 2021 and 2022. Impact of inflation on grocery shopping  As the average inflation rate of all commodities in the Philippines continues to rise, households facing difficulties being able to afford necessities. A March 2023 survey revealed that most Filipino consumers check prices first before buying anything due to inflation. Meanwhile, due to rising living costs/inflation, etc., some other consumers have chosen to reduce the frequency of doing any leisure activities, such as dining out and going to bars or cinemas.

Philippines RPI: Food: Fruits and Vegetables: Others data was reported at 1,298.970 1978=100 in Sep 2009. This records an increase from the previous number of 1,295.240 1978=100 for Aug 2009. Philippines RPI: Food: Fruits and Vegetables: Others data is updated monthly, averaging 876.530 1978=100 from Jan 1990 (Median) to Sep 2009, with 237 observations. The data reached an all-time high of 1,298.970 1978=100 in Sep 2009 and a record low of 499.460 1978=100 in Jun 1990. Philippines RPI: Food: Fruits and Vegetables: Others data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.I059: Retail Price Index: 1978=100: Metro Manila.

In 2023, the sales value of food and beverage retailers in the Philippines amounted to ** billion U.S. dollars and was forecast to grow about * billion U.S. dollars more in the next year. The country's retail food industry has grown significantly in sales value yearly. Food retail goods Packaged foods were one of the most popular goods in Filipino consumers' shopping carts. This can be seen in the annual growth of the retail sales value of packaged foods in the country. Of these, processed meats and seafood, as well as dairy, savory snacks, edible oils, and rice, pasta, and noodles, comprised the top five leading types of packaged foods in terms of retail sales value. The rise of online food delivery The pandemic gave rise to online food delivery adaption in the Philippines, as reflected in the industry's revenue growth between 2019 and 2020. The segment is divided between grocery and meal delivery. A recent survey revealed that Food Panda and GrabFood were the leading food delivery apps in the Philippines.

Philippines GDP: Exports: Goods: Processed Food & Beverages data was reported at 12,842.570 PHP mn in Dec 2024. This records an increase from the previous number of 11,893.931 PHP mn for Sep 2024. Philippines GDP: Exports: Goods: Processed Food & Beverages data is updated quarterly, averaging 6,766.972 PHP mn from Mar 2000 (Median) to Dec 2024, with 100 observations. The data reached an all-time high of 12,842.570 PHP mn in Dec 2024 and a record low of 1,282.306 PHP mn in Mar 2000. Philippines GDP: Exports: Goods: Processed Food & Beverages data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.A034: PSNA 5th Revision: Gross Domestic Product: Goods & Services: Exports: Current Price.

Philippines Retail Price: Rice Premium: ARMM: Cotabato City data was reported at 51.000 PHP/kg in 09 Nov 2018. This stayed constant from the previous number of 51.000 PHP/kg for 02 Nov 2018. Philippines Retail Price: Rice Premium: ARMM: Cotabato City data is updated weekly, averaging 44.000 PHP/kg from Dec 2013 (Median) to 09 Nov 2018, with 251 observations. The data reached an all-time high of 51.000 PHP/kg in 09 Nov 2018 and a record low of 42.000 PHP/kg in 30 Dec 2016. Philippines Retail Price: Rice Premium: ARMM: Cotabato City data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.P001: Retail Price: Selected Agricultural Commodities.

Abstract

The National Statistics Office generates various establishment based price indices and one of these is the Producers Price Index. The 2008 PPI (2000=100) is generated from the results of the Producer Price Survey conducted monthly by the NSO. This is done through the collection of actual producer prices from sample establishments nationwide. The PPS uses a shuttle type questionnaire which provides the respondent establishments with a running account of all monthly responses for the year. For 2008, the survey covered 595 sample products produced by 309 manufacturing establishments.

The Producer Price Index (PPI) for Manufacturing is a composite figure of producers prices of representative commodities included in the market basket. The PPI serves various purposes, the most important of which are the following: a. measures monthly or yearly changes in the producers prices of key commodities in the manufacturing sector b. serves as deflator to Value of Production Index (VAPI) in the estimation of Volume of Production Index (VOPI) c. serves as deflator in the estimation of manufacturing production in real terms (at constant prices) in the system of national accounts.

The PPI is computed using the Paasche-type method of index computation . As such, the weights are continously revised upon availability of the latest data from the annual survey or census. In the case of 2008 PPI, the weights are taken from the 2005 Annual Survey of Philippine Business and Industry (ASPBI). The revision of weights , are however instituted at the beginning of each year and are used for the entire year.

Geographic coverage

The geographic domain is the whole country.

Analysis unit

The unit of analysis for this survey is the establishment. An establishment is defined as an economic unit under a single ownership or control, i.e., under a single legal entity, engaged in one or predominantly one kind of economic activity at a single fixed location.

Universe

Manufacturing establishments with total employment of 20 and over

Kind of data

Sample survey data [ssd]

Sampling procedure

The 2008 PPS is a non-probability sampling survey of the manufacturing sector. Sample establishments and commodities were selected using the following criteria: a. the commodity has a relatively high market share b. the commodity was available in the market in 2000, this being the base year c. the commodity is being produced currently, and d. the market share of the commodity has been stable for the last 3 years

In the same manner, criteria were also set for the selection of establishments, as follows: a. establishment has an ATE of 50 and over b. establishment has relatively high concentration ratio c. establishment is good respondent in past and current surveys of NSO; that is, it submits prompt reports and provides quality data d. preferably, the establishment is a sample of the Monthly Integrated Survey of Selected Industries (MISSI).

The 2008 PPS utilizes the 3-digit and selected 4-digit amended Philippine Standard Industrial Classification (PSIC) as its industry domain which is patterned after ISIC version 3.

Thus, there are 20 major sectors with 10 further categorized into sub-sectors or a total of 37 sub-sectors for the 2008 MISSI. These are:

1. Food Manufacturing
   1.1. Processed meat and fish 1.2. Processed fruits and vegetables 1.3. Vegetable and animal oils and fats 1.4. Milk and dairy products 1.5. Grain mills products 1.6. Animal feeds 1.7. Bakery products 1.8. Milled and refined sugar 1.9. Coconut products 1.10. Miscellaneous foods
2. Beverages
3. Tobacco products
4. Textiles 4.1. Textile products 4.2. Cordage, rope and twine
   1. Footwear and wearing apparel
   2. Leather products
   3. Wood and wood products 7.1. Planning and sawmill 7.2. Veneer and plywood 7.3. Other wood products
   4. Paper and paper products
   5. Publishing and printing
   6. Petroleum products 10.1. Refined petroleum products 10.2. Coke and other fuel products
   7. Chemical products 11.1. Basic Chemicals and industrial gases 11.2. Fertilizers 11.3. Paints 11.4. Drugs and medicines 11.5. Cosmetics and toilet preparations 11.6. Miscellaneous Chemicals
   8. Rubber and plastic products 12.1. Rubber products 12.2. Plastic products
   9. Non-metallic mineral products 13.1. Glass and glass products 13.2. Cement 13.3. Miscellaneous non-metallic mineral products
   10. basic metals 14.1. Iron and steel 14.2. Non-ferrous metals
   11. Fabricated metal products
   12. Machinery except electrical 16.1. Office,accounting and computing machinery 16.2. Machinery and equipment n.e.c.
   13. Electrical machinery 17.1. Electrical appliances 17.2. Wires and wirings 17.3. Batteries 17.4. Lamps and fixtures 17.5. Microcircuits
   14. Transport equipment
   15. Furnitures and fixtures
   16. Miscellaneous Manufactures

Indicators generated from 2008 PPS (2000=100) are the following: 1. Producer Price Index (PPI), yearly and monthly growth rates

Imputation methods used for unit and item non-response are as follows: 1. Historical imputation without trend adjustment, or the use of the latest available data of the establishment
2. Imputed values are revised upon receipt of actual data for inclusion in the revised indices

Mode of data collection

Self Administered Questionnaire and/or Face-to-face interview

Research instrument

The Producer Price Survey utilizes a shuttle type questionnaire. This approach reduces cost and enhances consistency and accuracy in reporting since the respondent establishment is provided with a running account of all monthly responses for the year.

Cleaning operations

It is important to verify the reasonableness and reliability of the prices of products included in the market basket for a given month. Data editing consisted of three stages: field editing, office verification and machine validation.

· Field editing of data was done by the provincial staff upon collection of the accomplished questionnaires from the establishments. The objective is to check for completeness and consistency of entries in the questionnaires. Any inconsistent or missing data was corrected at this stage as this can be immediately verified from the respondents.

· Office verification was done by provincial office staff upon receipt of the accomplished questionnaires from the field men. In some instances, callback to the establishments in the form of phone call or email to verify some inconsistent or missing data is done.

· Desk verification was done by the ISD staff to check the consistency and reasonableness of entries in the accomplished questionnaires. This process also validates the status of establishments such as non-responding and reported closed, cannot be located, transferred, and out of scope. The telephone was extensively utilized to verify information from the establishment's contact person. The Internet was also used to obtain information on the contact address and to research for information on the status of the establishment.

.For unit or item non-response, the following are undertaken: 1. Establishments that stopped operation, temporary out of business (TOB), strike, etc., during the year, historical imputation without trend adjustment or the use of the latest available data of the establishment. This method is appropriate for the reason that the prices of a number of products/commodities do not change very much over a short period of time. 2. Imputed values are revised upon receipt of actual data for inclusion in the revised indices.

Response rate

The average monthly response rate is 88.84%, 35 days (preliminary tabulation) after the reference month and 95 % for the final table.

Sampling error estimates

Not applicable.

Data appraisal

The quality of the PPI indicators are measured in terms of the following:

Representativeness of the samples as measured in the CONCENTRATION RATIO- the combined production value of the samples as a percentage to the total industry production value

Response rate of the survey

Imputation method used for non-responses

Philippines Retail Price: Rice Premium: Region 2: Tuguegarao City data was reported at 50.000 PHP/kg in 23 Nov 2018. This stayed constant from the previous number of 50.000 PHP/kg for 16 Nov 2018. Philippines Retail Price: Rice Premium: Region 2: Tuguegarao City data is updated weekly, averaging 39.500 PHP/kg from Dec 2013 (Median) to 23 Nov 2018, with 256 observations. The data reached an all-time high of 54.000 PHP/kg in 05 Oct 2018 and a record low of 36.500 PHP/kg in 17 Jul 2015. Philippines Retail Price: Rice Premium: Region 2: Tuguegarao City data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.P001: Retail Price: Selected Agricultural Commodities.

Jglmarketing Consumer Goods Trading Import Export Turnover 6.60 and 0 USD Million during June 2024 to May 2025. Also check supply chain analytics, top import and export commodities with price, buyers, suppliers, main competitors of Jglmarketing Consumer Goods Trading in Philippines.

Philippines Consumer Price Index (CPI): MM: Food: Fruits and Vegetables data was reported at 319.100 1988=100 in Dec 1998. This records a decrease from the previous number of 324.600 1988=100 for Nov 1998. Philippines Consumer Price Index (CPI): MM: Food: Fruits and Vegetables data is updated monthly, averaging 152.950 1988=100 from Jan 1988 (Median) to Dec 1998, with 132 observations. The data reached an all-time high of 324.600 1988=100 in Nov 1998 and a record low of 83.800 1988=100 in Apr 1988. Philippines Consumer Price Index (CPI): MM: Food: Fruits and Vegetables data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.I049: Consumer Price Index: 1988=100: Metro Manila.

In 2024, the consumer price index (CPI) of bread and bakery products in the Philippines was ** points higher than the base year 2018. The price of bread and bakery products in the country has significantly increased during the observed period. CPI is a measure of the average change over time in the prices paid by consumers for consumer goods.

The Philippines Foodservice Market Report is Segmented by Foodservice Type (Cafes & Bars, Cloud Kitchen, Full Service Restaurants, Quick Service Restaurants), Outlet (Chained Outlets, Independent Outlets), Location (Leisure, Lodging, Retail, Standalone, Travel), Service Type (Dine-In, Takeaway, Delivery), and Geography (Philippines). The Market Forecasts are Provided in Terms of Value (USD).