Growing corn varies depending on the area, and its production cycle is different in all parts of the world. In the Philippines, corn production is based on the landscape and topography of an area. In 2023, the production volume of corn in the Philippines amounted to approximately 8.41 million metric tons, higher than the produced quantity of 8.26 million metric tons in the previous year. Corn farming Over the past six years, about 2.5 million hectares of land were utilized for cultivating corn in the Philippines. Despite fluctuation in production, corn remains among the leading crops produced in the country. The Philippines is also one of the biggest corn producing countries globally. Corn industry in the Philippines Aside from rice, corn is considered another staple crop in the Philippines. The country has six common varieties — sweet corn, wild violet corn, white lagkitan, Visayan white corn, purple, and young corn. Some of the country's corn production are exported, especially maize seeds and frozen sweet corn.

In the national marketing year 2023/2024, the Philippines produced 8.12 million metric tons of maize, which was a slight decrease from 8.26 million metric tons produced in the previous year. However, the Philippines' maize production was forecast to reach 8.3 million metric tons in the marketing year 2024/2025.

In 2023, the production value of corn in the Philippines amounted to approximately 160.09 billion Philippine pesos, reflecting an increase from the previous year. Corn production in the country has been fluctuating over the past decade.

Philippines Production: Volume: Year to Date: Major Crops: Corn: White Corn data was reported at 479.000 Metric Ton th in Mar 2018. This records a decrease from the previous number of 2,104.000 Metric Ton th for Dec 2017. Philippines Production: Volume: Year to Date: Major Crops: Corn: White Corn data is updated quarterly, averaging 924.000 Metric Ton th from Mar 2004 (Median) to Mar 2018, with 57 observations. The data reached an all-time high of 2,528.000 Metric Ton th in Dec 2007 and a record low of 356.000 Metric Ton th in Mar 2016. Philippines Production: Volume: Year to Date: Major Crops: Corn: White Corn data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.B013: Production: Volume: Agriculture: ytd.

Philippines Production: Volume: Year to Date: Major Crops: Corn data was reported at 5,966.290 Metric Ton th in Sep 2018. This records an increase from the previous number of 3,760.870 Metric Ton th for Jun 2018. Philippines Production: Volume: Year to Date: Major Crops: Corn data is updated quarterly, averaging 3,479.750 Metric Ton th from Mar 1998 (Median) to Sep 2018, with 83 observations. The data reached an all-time high of 7,914.910 Metric Ton th in Dec 2017 and a record low of 782.530 Metric Ton th in Mar 1998. Philippines Production: Volume: Year to Date: Major Crops: Corn data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.B013: Production: Volume: Agriculture: ytd.

Forecast: Corn Production in Philippines 2023 - 2027 Discover more data with ReportLinker!

Abstract

The Bureau of Agricultural Statistics (BAS) has been monitoring the palay and corn situation in the country through a Monthly Palay and Corn Situation Reporting System (MPCSRS) since 1985. The activity aims primarily to update the forecasts (based on standing crop and planting intentions) generated through the Palay and Corn Production Survey (PCPS). Based on the findings of the MPCSRS, the BAS submits a memorandum to the office of the Secretary, Department of Agriculture to inform him of the latest production status of palay and corn.

Geographic coverage

National coverage

Analysis unit

Agricultural holdings

Universe

MPCSRS covers palay and corn farming households with at least 0.100 hectare or 1000 square meters of operation.

Kind of data

Sample survey data [ssd]

Sampling procedure

The MPCSRS is conducted monthly in between the Palay Production Survey (PPS)/Corn Production Survey (CPS) rounds, making use of one replicate of the PPS/PCS as sample such that:

• For pure palay provinces, one replicate consisting of ten (10) barangays is taken from the PPS samples.
• For pure corn provinces, one replicate consisting of ten (10) barangays is taken from the CPS samples.
• For overlap (that is palay and corn) provinces, five (5) barangays is taken from the PPS and another five (5) barangays are taken from the CPS samples yielding only one sample of barangays for the province.
• For minor palay or corn provinces, one replicate consisting of five (5) barangays are taken as samples.
• For non-corn provinces, one replicate of the PPS barangay samples is taken as samples for the MPCSRS.

All households in the selected barangays are enumerated. Currently, the MPCSR has a total sample size of 680 barangays nationwide. The replicates are selected using probability proportional to size based on total palay/corn areas.

Details of the documentation of the Palay Production Survey (PPS) and Corn Production Survey (CPS) sampling procedure can be viewed from the BAS Electronic Archiving and Network Services, http://beans.bas.gov.ph.

Mode of data collection

Face-to-face paper [f2f]

Cleaning operations

Manual coding and editing are done at the Provincial Operations Centers (POCs). At the POCs, during the electronic data processing, checking of household serial numbers based on the masterlist of samples, consistency checks based on data ranges, and consistency checks against other data variables within the questionnaire are done by running an editing program. A completeness check program is also run to check if all sample respondents are accounted for. At the Central Office, another round of editing is undertaken. This activity is done to check that the data file is totally clean.

The output tables generated from the clean data files are converted to Excel files to facilitate further data analysis. The estimates generated from the clean MPCSR data are reviewed at the provincial level before submitting to the Central Office. At the Central Office, the estimates are subjected to review and validation.

Response rate

1. Response rate for Palay Samples = 92.59 %
2. Response rate for Corn Samples = 100 %

Maize production of Philippines went up by 1.20% from 8,300 thousand tonnes in 2022 to 8,400 thousand tonnes in 2023. Since the 0.10% downward trend in 2021, maize production improved by 0.67% in 2023. Zea mays Corn, Indian corn, mealies. A grain with a high germ content. At the national level, hybrid and ordinary maize should be reported separately owing to widely different yields and uses. Used largely for animal feed and commercial starch production.

In 2023, the total land area used for corn cultivation in the Philippines was around 2.54 million hectares. The production volume of corn in the country had been fluctuating over the past decade.

Philippines Production: Value: Year to Date: Major Crops: Corn data was reported at 34,459.160 PHP mn in Mar 2018. This records a decrease from the previous number of 94,677.950 PHP mn for Dec 2017. Philippines Production: Value: Year to Date: Major Crops: Corn data is updated quarterly, averaging 29,668.420 PHP mn from Mar 1998 (Median) to Mar 2018, with 81 observations. The data reached an all-time high of 100,629.400 PHP mn in Dec 2014 and a record low of 4,875.160 PHP mn in Mar 1998. Philippines Production: Value: Year to Date: Major Crops: Corn data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.B010: Production: Value: Agriculture: ytd: Current Price.

Forecast: Maize Production at Farm Gate in Philippines 2022 - 2026 Discover more data with ReportLinker!

Philippines Production: Annual: Corn: White data was reported at 2.100 Metric Ton mn in 2017. This records an increase from the previous number of 2.020 Metric Ton mn for 2016. Philippines Production: Annual: Corn: White data is updated yearly, averaging 2.130 Metric Ton mn from Dec 1997 (Median) to 2017, with 21 observations. The data reached an all-time high of 2.530 Metric Ton mn in 2007 and a record low of 1.620 Metric Ton mn in 1998. Philippines Production: Annual: Corn: White data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.B016: Production: Cereals.

The annual per capita production index of corn in the Philippines was approximately 102.5 percent in 2021, higher than the base year 2018. The production of corn in the country has been gradually increasing over the past six years.

Philippines Production: Value: Cereals: Corn data was reported at 94,678.000 PHP mn in 2017. This records an increase from the previous number of 85,326.400 PHP mn for 2016. Philippines Production: Value: Cereals: Corn data is updated yearly, averaging 30,498.600 PHP mn from Dec 1987 (Median) to 2017, with 31 observations. The data reached an all-time high of 100,629.400 PHP mn in 2014 and a record low of 12,176.800 PHP mn in 1987. Philippines Production: Value: Cereals: Corn data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.B014: Production: Value: Agriculture (Annual).

Statistics illustrates consumption, production, prices, and trade of Maize (Corn) Starch in the Philippines from 2007 to 2024.

Abstract

The Palay Production Survey is one of the two modules of the Palay and Corn Production Survey (PCPS), formerly known as the Rice and Corn Production Survey (RCPS). The Palay Production Survey (PPS) 2016 is a quarterly survey conducted by the Philippine Statistics Authority (PSA). It aims to generate estimates on palay production, area and yield and other related information at the provincial level. The four rounds are conducted in January, April, July and October. Each round generates estimates for the immediate past quarter and forecasts for the next two quarters. Results of the survey serve as inputs to planners and policy makers on matters concerning the rice industry.

Geographic coverage

National Coverage

Analysis unit

Households

Universe

Farming households in palay producing barangays.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling procedure used in the Palay Production Survey 2016 (PPS 2016) is first implemented in 1994. This is a replicated two-stage stratified sampling design with province as the domain, barangay as the Primary Sampling Unit (PSU) and farming household as the Secondary Sampling Unit (SSU).

The results of the 1991 Census of Agriculture and Fisheries (CAF 1991) serve as sampling frame at the PSU and SSU levels. In the said census, the largest barangay in a municipality is taken with certainty while a 50 percent sampling rate is used for selecting the remaining barangays in the municipality. This scheme effectively resulted in the generation of two sub-universes: a sub universe of barangays with probability of selection equal to one (these barangays are called 'certainty barangays') and another sub-universe of barangays with probability of selection equal to 0.5. This characteristic of the CAF 1991 data is used in the selection of sample barangays for the PPS.

The barangays are arrayed in ascending order based on palay area which are stratified such that the aggregate palay area of the barangays belonging to one stratum is more or less equal to the aggregate palay area of the barangays in any other stratum. Ten strata are formed for major palay producing provinces and five for minor producing provinces. In all these provinces, the last stratum consisted of the certainty barangays per CAF 1991 design.

For each stratum, four (4) sample barangays are drawn independently using probability proportional to size (pps) sampling with the barangay's palay area as size measure. This resulted with four (4) independent sets of barangays (i.e., four replicates) for the province. Systematic sampling is used in drawing the sample farming households in each sample barangay.

For economic reasons, sample size per barangay is limited to a minimum of four (4) and a maximum of twenty-five (25). To correct for this limitation of the design, the use of household weights is instituted. A detailed discussion of weighting in the PPS is included in the survey's estimation procedure attached as a technical document.

In November 2007, an updating of the list of farming households in all palay sample barangays nationwide is done to address the problem of non-response due to transfer of residence, stoppage of farm operation, passing away of operator etc. Consequently, a new set of sample households is drawn.

Respondents who refused to be interviewed, not a home, unknown and transferred to another barangay are treated as missing and are replaced at the Central Office for the next quarter's survey. The replacement samples are taken from the list of replacements (farming households) for the barangay and are reflected in the list of sample households for the next round.

Mode of data collection

Face-to-face paper [f2f]

Cleaning operations

Prior to data encoding, the accomplished survey returns are manually edited and coded. Manual editing is checking of responses to the Palay Production Survey (PPS) questionnaire in terms of acceptability and validity. This activity aims at improving the quality of data collected by the SRs. It involves the checking of data items based on criteria like completeness of data, consistency with other data items and data ranges. Coding is the assignment of alpha-numeric codes to questionnaire items to facilitate encoding.

Encoded data are subjected to computerized editing using a customized editing program. The editing program take into consideration the validation criteria such as validity, completeness and consistency with other data items. This activity is done to capture invalid entries that were overlooked during manual editing. An error listing is produced as output of the process. The errors reflected in said lists are verified vis-à-vis the questionnaires. The data files are updated based on the corrections made. Editing and updating are performed iteratively until a clean, error-free data file is generated.

Completeness check is done to compare the data file against a master file of barangays to check if the sample barangays have been completely surveyed or not. This activity is done after a clean, error-free data file is generated.

Response rate

PPS 2016 registered response rates which averaged 85.0% across its quarterly surveys - April 2016 Round, July 2016 Round, October 2016 Round and January 2017 Round.

Forecast: Maize Production in Philippines 2022 - 2026 Discover more data with ReportLinker!

Statistics illustrates consumption, production, prices, and trade of Cereal Grain Products (Including Corn Flakes) in the Philippines from 2007 to 2024.

Statistics illustrates consumption, production, prices, and trade of Maize (Green) in the Philippines from 2007 to 2024.

Philippines Harvested Area: Annual: Corn: Total data was reported at 2.550 ha mn in 2017. This records an increase from the previous number of 2.480 ha mn for 2016. Philippines Harvested Area: Annual: Corn: Total data is updated yearly, averaging 2.550 ha mn from Dec 1997 (Median) to 2017, with 21 observations. The data reached an all-time high of 2.730 ha mn in 1997 and a record low of 2.360 ha mn in 1998. Philippines Harvested Area: Annual: Corn: Total data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.B016: Production: Cereals.