Backyard Livestock and Poultry Survey (BLPS) 2019-2020
Philippines, 2019 - 2020
Reference ID
PHL-PSA-BLPS-2019_2020-v1
Producer(s)
Philippine Statistics Authority (PSA)
Collection(s)
Metadata
Created on
Mar 23, 2023
Last modified
Mar 23, 2023
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Identification
Title
Backyard Livestock and Poultry Survey (BLPS) 2019-2020
Countries
| Name | Abbreviation |
|---|---|
| Philippines | PHL |
idno
PHL-PSA-BLPS-2019_2020-v1
Study notes
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 BLPS aims to generate primary data on inventory/population, and supply and disposition of animals from the household level. Specifically, the survey gears to generate information on inventory, number of births/hatched live, deaths and losses, sold live for slaughter and sold live for other purposes, slaughtered/dressed in the household, average liveweight of disposed/slaughtered/dressed animals, and egg laid yesterday by chicken and duck laying flocks.
The BLPS aims to generate primary data on inventory/population, and supply and disposition of animals from the household level. Specifically, the survey gears to generate information on inventory, number of births/hatched live, deaths and losses, sold live for slaughter and sold live for other purposes, slaughtered/dressed in the household, average liveweight of disposed/slaughtered/dressed animals, and egg laid yesterday by chicken and duck laying flocks.
Kind of data
Sample survey data [ssd]
Unit of analysis
Household
Version
Version
V2.0 (June 2021): Final dataset for official estimates.
Version date
2021-03-31
Scope
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| Agriculture, forestry, fisheries | Philippine Statistics Authority | |
| Business and agricultural surveys | Philippine Statistics Authority |
Coverage
Geographic coverage
All provinces except Batanes but including Zamboanga and Davao Cities
Unit of analysis
Household
Universe
All palay and corn farming households.
Producers and sponsors
Funding agencies
| Name | Abbreviation | Role |
|---|---|---|
| Government of the Philippines | GOP | Full funding |
Sampling
Sampling procedure
Sampling Frame
The BLPS sampling frame was based on the results of the 2017 Listing of Farm Household (LFH) and 2012 Census of Agriculture and Fisheries (CAF). For barangays not covered in the 2017 LFH, the list of households was taken from the 2012 CAF. The sampling frame is updated based on the status of the sampled households using structured form - Frame Maintenance Form (FMF) submitted by the PSOs every quarter.
Sample Selection Procedure
The BLPS used the replicate one (1) of the PCPS Frame. It employed two-stage sampling design. The first stage was the selection of barangay using probability proportional to size where the area devoted to palay and/or corn as the size measure.
For each sampling domain, PSUs were grouped into ten (10) strata of about the same size. To facilitate the stratification process, PSUs (barangays) were sorted in ascending order according to the measure of size (total palay or corn farm area). The cut-off measure of size of stratum was calculated by dividing the total palay or corn farm area of the province by ten (10). In this process, the cumulative total measure of size for each stratum was about the same but the number of PSUs varies.
For the first nine (9) strata, four (4) sample PSUs were allocated while PSUs in the 10th strata was taken with certainty. In each stratum, PSUs were assigned to any of the four (4) replicates. The replicates were used to conveniently facilitate subsampling.
The secondary sampling unit (SSU) was the palay/corn farming household which was selected through systematic sampling. SSUs were selected first from the 2017 LFH PSU frame. However, if the sample barangay was not covered in the 2017 LFH, the source frame for the SSUs were taken from the 2012 CAF.
The households (SSUs) were selected according to a random start and fixed or periodic sampling interval. The sampling interval (S) was calculated by dividing the total palay or corn farming households (N) by the required sample size (n). The random start, on the other hand, was determined randomly from any number between 1 and the sampling intervals (S).
A separate list of replacement SSU was also drawn by oversampling five (5) SSUs per PSU using circular systematic applying the same sample interval that was previously determined.
The BLPS sampling frame was based on the results of the 2017 Listing of Farm Household (LFH) and 2012 Census of Agriculture and Fisheries (CAF). For barangays not covered in the 2017 LFH, the list of households was taken from the 2012 CAF. The sampling frame is updated based on the status of the sampled households using structured form - Frame Maintenance Form (FMF) submitted by the PSOs every quarter.
Sample Selection Procedure
The BLPS used the replicate one (1) of the PCPS Frame. It employed two-stage sampling design. The first stage was the selection of barangay using probability proportional to size where the area devoted to palay and/or corn as the size measure.
For each sampling domain, PSUs were grouped into ten (10) strata of about the same size. To facilitate the stratification process, PSUs (barangays) were sorted in ascending order according to the measure of size (total palay or corn farm area). The cut-off measure of size of stratum was calculated by dividing the total palay or corn farm area of the province by ten (10). In this process, the cumulative total measure of size for each stratum was about the same but the number of PSUs varies.
For the first nine (9) strata, four (4) sample PSUs were allocated while PSUs in the 10th strata was taken with certainty. In each stratum, PSUs were assigned to any of the four (4) replicates. The replicates were used to conveniently facilitate subsampling.
The secondary sampling unit (SSU) was the palay/corn farming household which was selected through systematic sampling. SSUs were selected first from the 2017 LFH PSU frame. However, if the sample barangay was not covered in the 2017 LFH, the source frame for the SSUs were taken from the 2012 CAF.
The households (SSUs) were selected according to a random start and fixed or periodic sampling interval. The sampling interval (S) was calculated by dividing the total palay or corn farming households (N) by the required sample size (n). The random start, on the other hand, was determined randomly from any number between 1 and the sampling intervals (S).
A separate list of replacement SSU was also drawn by oversampling five (5) SSUs per PSU using circular systematic applying the same sample interval that was previously determined.
Deviations from sample design
In cases of non-response, a provincial adjustment factor was computed based on the interview status of the sample households. The provincial adjustment factor is the summation of baseweights of eligible households divided by the summation of baseweights of the responding households.
An eligible sample households were households with corresponding interview status of Code 40 (Interview Completed), Code 50 (interview is not completed), and non-response without replacement provided that the reason for non-response were Code 60 (refused to give data), Code 71 (temporarily away/not at home) and Code 72 (household temporarily not accessible) while the responding households consisted of households with interview status of Code 40 (Interview Completed).
An eligible sample households were households with corresponding interview status of Code 40 (Interview Completed), Code 50 (interview is not completed), and non-response without replacement provided that the reason for non-response were Code 60 (refused to give data), Code 71 (temporarily away/not at home) and Code 72 (household temporarily not accessible) while the responding households consisted of households with interview status of Code 40 (Interview Completed).
Weighting
Sample weights were calculated for each sample barangay and sample household.
PSU Weight
The PSU weight was based on the relative size of farm area because these was selected using probability proportional to size. This was computed as the total palay/corn farm area in the province divided by the product of number of sample barangay in that stratum, and the palay/corn area of the sample barangay in that stratum.
SSU Weight
The SSU weight was calculated based on the total number of palay or corn farming households (N) divided by the sample palay or corn farming households (n) within the PSU. Take note that the household category in each sample barangays have different SSU weights. The sample for palay/corn used the total number of palay/corn operators while non-sample for palay/corn used the total number of livestock and poultry operators in the sampled barangay based on 2012 CAF.
Baseweight
The baseweight was computed as the product of PSU weight and SSU weight.
Final Weight
The computed adjustment factor at the domain level was multiplied to the baseweights for each sample barangay to compute for the final weights.
PSU Weight
The PSU weight was based on the relative size of farm area because these was selected using probability proportional to size. This was computed as the total palay/corn farm area in the province divided by the product of number of sample barangay in that stratum, and the palay/corn area of the sample barangay in that stratum.
SSU Weight
The SSU weight was calculated based on the total number of palay or corn farming households (N) divided by the sample palay or corn farming households (n) within the PSU. Take note that the household category in each sample barangays have different SSU weights. The sample for palay/corn used the total number of palay/corn operators while non-sample for palay/corn used the total number of livestock and poultry operators in the sampled barangay based on 2012 CAF.
Baseweight
The baseweight was computed as the product of PSU weight and SSU weight.
Final Weight
The computed adjustment factor at the domain level was multiplied to the baseweights for each sample barangay to compute for the final weights.
Data Collection
Dates of collection
| Start | End | Cycle |
|---|---|---|
| 2019-04-01 | 2019-04-07 | April Round 2019 |
| 2019-07-01 | 2019-07-07 | July Round 2019 |
| 2019-10-01 | 2019-10-07 | October Round 2019 |
| 2019-12-01 | 2019-12-07 | January Round 2020 |
| 2020-03-30 | 2020-04-06 | April Round 2020 |
| 2020-07-01 | 2020-07-08 | July Round 2020 |
| 2020-10-01 | 2020-10-08 | October Round 2020 |
| 2020-12-01 | 2020-12-08 | January Round 2021 |
Time period(s)
| Start | End | Cycle |
|---|---|---|
| 2019-01-01 | 2019-03-31 | April 2019 Round |
| 2019-04-01 | 2019-06-30 | July 2019 Round |
| 2019-07-01 | 2019-09-30 | October 2019 Round |
| 2019-10-01 | 2019-12-31 | January 2020 Round |
| 2020-01-01 | 2020-03-31 | April 2020 Round |
| 2020-04-01 | 2020-06-30 | July 2020 Round |
| 2020-07-01 | 2020-09-30 | October 2020 Round |
| 2020-10-01 | 2020-12-31 | January 2021 Round |
Mode of data collection
Face-to-face [f2f]
Data collection supervision
Field supervision was undertaken by the Provincial Statistics Office (PSO) staff in their respective area of assignments. The Chief Statistical Specialist served as overall supervisor in the province, while the Regional Director was the overall supervisor in the region. The Central Office technical staff also conducted field visits in selected provinces and observed the field operations. During field operations, the supervisors were expected to conduct spotchecking, editing and addressing problems encountered by the SRs and to submit to CO significant findings during field supervision.
Questionnaires
The BLPS Questionnaire was composed of eight (8) pages during January and July Rounds while there were only three (3) pages during April and October Rounds. Each questionnaire can accommodate 10 respondents either sample for palay/corn or non-sample for palay/corn. First page was the cover page, and the succeeding pages were for each animal type except for the last page. Each page contained information on inventory, born live/hatched live, sold live for slaughter and for other purposes, slaughtered/dressed in the household, number of deaths, and egg laid yesterday.
Data collector(s)
| Name | Abbreviation | Affiliation |
|---|---|---|
| Philippine Statistics Authority | PSA | National Economic Development Authority |
Data Processing
Data editing
Prior to data encoding, the accomplished survey returns were manually edited and coded. Manual editing is the process of checking the responses indicated in the BLPS questionnaire in terms of its acceptability, validity and completeness of data, consistency with other data items and data ranges.
Data Appraisal
Other forms of data appraisal
To ensure the quality of its statistical services, the PSA mainstreamed the levels of data review and validation. The data review and validation process started at the province. This was the provincial data review then regional and finally national data review. These activities were done to reflect the significant informations that were not captured in the survey.
Estimates generated from the survey were reviewed and calibrated using established parameter, trends in the data series and other auxillary information such as supply and demand, marketing of agricultural products, and information on livestock and poultry program implementation.
Estimates generated from the survey were reviewed and calibrated using established parameter, trends in the data series and other auxillary information such as supply and demand, marketing of agricultural products, and information on livestock and poultry program implementation.
Data access
Access authorities
| Name | Affiliation | URI | |
|---|---|---|---|
| National Statistician | Philippine Statistics Authority | info@psa.gov.ph | www.psa.gov.ph |
Access conditions
Authorization to use this data is granted only to the client or data user and persons within its organization, if applicable. Under no circumstances shall the client reproduce, distribute, sell or lend the entire data or parts thereof to any other data user
apart from himself or that of authorized employees in his organization. The PSA shall hold the data user fully responsible for safeguarding the data from any unauthorized access or use. Before being granted access to the dataset, all users have to formally agree:
1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the PSA.
2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified in the dataset.
3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately be reported to the PSA
apart from himself or that of authorized employees in his organization. The PSA shall hold the data user fully responsible for safeguarding the data from any unauthorized access or use. Before being granted access to the dataset, all users have to formally agree:
1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the PSA.
2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified in the dataset.
3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately be reported to the PSA
Disclaimer and copyrights
Disclaimer
The data users/researchers acknowledge that the PSA bear no liabilities and responsibilities for any particular, indirect, or consequential damages or any damages, whatsoever resulting from loss of use, or of data in connection with the use or for interpretations or inferences based upon such uses.
Copyrights
(c) 2021, Philippine Statistics Authority
contacts
Contact(s)
| Name | Affiliation | URI | |
|---|---|---|---|
| Chief Statistical Specialist, Livestock and Poultry Statistics Division | Philippine Statistics Authority | lpsd.staff@psa.gov.ph | |
| Information Officer V, Knowledge Management and Communications Division | Philippine Statistics Authority | info@psa.gov.ph | www.psa.gov.ph |