Abstract

The objective of the survey is to generate estimates on current stock of rice and corn in farming and non-farming households. The data generated from the survey seek to:

1. serve as input in the analysis of the seasonal trends and variations in the supply of rice and corn;

2. serve as input for forecasting future supply and demand of palay and corn; and

3. assist policy-makers in the formulation, implementation and administration of agricultural economic programs.

Geographic coverage

The survey covers seventy-nine (79) provinces (including Dinagat Islands), two (2) chartered cities (Davao City and Zamboanga City), and National Capital Region

Analysis unit

Households

Universe

Farming and non-farming households

Kind of data

Sample survey data [ssd]

Sampling procedure

The PCSS is a sub-sample of the Palay and Corn Production Survey (PCPS) which employs a two-stage stratified sampling design with the barangay as the primary sampling unit (psu) and the household as the secondary sampling unit (ssu). One replicate of the PPS and CPS sample barangays is selected to represent PCSS sample barangays since PPS and CPS covers only farming households, five (5) non-farming households are added to the PCCS sample households in the sample barangays of the province. Non-farming households are selected through simple random sampling.

The PCSS in NCR covers only non-farming households with two-stage sampling design. Two (2) sample barangays are chosen in each city/municipality with five (5) sample households. Selection of samples is done using simple random sampling.

Mode of data collection

Face-to-face [f2f]

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 %

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) 2017 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

Agricultural holdings

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 (PPS) 2017 was 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 1991 Census of Agriculture and Fisheries (CAF) provides the primary basis for the sampling frame for the PPS. Except Isabela, Laguna and Bukidnon where the traditional complete enumeration strategy was employed, the 1991 CAF used sampling techniques for selecting the primary sampling units (the barangays) for these three provinces.

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 barangas 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.

Updating of frame on the list of agricultural households in the same sample barangays were generated through interview of key informants in 2007 and 2011 in order to get a precise estimate. 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]

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.

Abstract

The Republic of the Philippines is making great efforts to develop agriculture at a pace necessary to meet the food requirements of the fast growing population. It has become necessary to use current agricultural statistics that will help present an accurate picture of the country's food situation. Especially important, is the expected supply and consumption requirements of the people, particularly of meat products. The Backyard Livestock and Poultry Survey (BLPS) seek to provide such information.

The data to be obtained from this survey would not only be important from the point of view of the national economy but also from that of the farmer. The government should have available accurate information with which to anchor its major agricultural policy decisions, of which the farmers are the ultimate beneficiaries. For instance, a decision on whether to import or export livestock and poultry products has its effects not only on the national economy but also on the individual farmer. Such national decision will directly affect the raising and trading decisions of livestock and poultry raisers in the country.

The BLPS is one of the four major surveys for livestock and poultry. This survey aims to generate primary data on inventory/population, and supply and disposition of animals from backyard farms (small holders). Specifically, the survey gears to generate information on the following: Livestock and Poultry inventory and production; and Current egg production for ducks and chicken.

Moreover, BLPS shall also aid the policy makers in generating sound policy decision on the improvement of backyard farms for the welfare of the farmers.

Geographic coverage

National Coverage

Analysis unit

Households

Universe

The survey covered all backyard farms. Backyard Farm refers to a farm or household whether farming or non-farming operated by a farmer/household that raises at least one of the following:

1. Livestock · Less than 21 heads of adult and zero head of young · Less than 41 heads of young animals · Less than 10 heads of adult and 22 heads of young

2. Poultry · Less than 500 layers, or 1,000 broilers · Less than 100 layers and 100 broilers if raised in combination · Less than 100 head of duck regardless of age

A backyard farm is categorized by its household classification. There are two (2) household classification. These are farming households and non-farming households.

The farming household is any household in which a member operates an agricultural land, either solely or jointly with other members, and the aggregate area operated by the operator-members of such household qualifies to be called a farm. The non-farming household is any household in which a member operates an agricultural land, either solely or jointly with other members, and the aggregate area operated by the operator-members of such household does not qualify as a farm.

Kind of data

Sample survey data [ssd]

Sampling procedure

The BLPS uses the Palay and Corn Production Survey (PCPS) frame. There are four (4) replicates of the PCPS but the BLPS covers only one (1) replicate, consisting of one barangay per replicate. The BLPS employs a two-stage stratified sampling with the barangay as the primary sampling unit (PSU) and the household as the secondary sampling unit (SSU). Sample selection is done as follows.

First Stage (Primary) Sampling Unit Selection Selection of sample barangays is based on pre-determined classification of provinces. For provinces whose major crop is either palay or corn, ten (10) sample barangays are covered. For provinces where both palay and corn are the major crops (called overlap provinces), five (5) barangays are drawn from palay barangays and another five (5) barangays from corn barangays. Finally, for other provinces (those whose major crop grown is neither palay nor corn), only five (5) sample barangays are drawn.

Second Stage (Secondary) Sampling Unit Selection All PCPS sample farming households in the BLPS sample barangay are covered. To represent the non-farming group in each sample barangay, additional five (5) non-farming households are selected through the right coverage approach with a defined starting point and random start.

Mode of data collection

Face-to-face [f2f]

Response rate

Response rate refers to the ratio of sample households who responded to the survey to the total number of sample households, expressed as a percentage. The response rate for January, 2016 Round is above 85%.

Abstract

The Corn 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 Corn Production Survey (CPS) is a quarterly survey conducted by the Philippine Statistics Authority (PSA). It aims to generate estimates on corn 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 corn industry.

Geographic coverage

National Coverage

Analysis unit

Households

Universe

Farming households in the barangays.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling procedure used in the Corn Production Survey (CPS) 2016 was 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 CPS.

The barangays are arrayed in ascending order based on corn area which are stratified such that the aggregate corn area of the barangays belonging to one stratum is more or less equal to the aggregate corn area of the barangays in any other stratum. Ten strata are formed for major corn 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 corn 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 CPS 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 corn sample barangays nationwide was 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 was drawn.

Respondents who refused to be interviewed, not 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 Corn Production Survey (CPS) 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

CPS 2016 registered response rates which averaged 74.28% across its quarterly surveys - April 2016 Round, July 2016 Round, October 2016 Round and January 2017 Round.