Identification
Survey ID Number
PHL_2009_CLPSQSCBF_v01_M
Title
Commercial Livestock and Poultry Survey - Quarterly Survey of Commercial Broiler Farms 2009
Country
| Name | Country code |
|---|---|
| Philippines | PHL |
Study type
Agricultural Survey [ag/oth]
Series Information
The Commercial Livestock and Poultry Survey (CLPS) is a nationwide sample survey of farm enterprises/establishments. It started in 1976 and was conducted annually. In 1989, the CLPS was conducted every quarter for broiler and swine, and semi-annually for carabao, cattle, goat and duck. The major data items collected are inventory, production,and disposition. One of the data series on commercial livestock and poultry commodities is on Broiler Chicken. In this case, we refer to the survey as Commerical Livestock and Poultry Survey- Quarterly Survey of Commercial Broiler Farms (CLPSQSCBF).
The conduct of CLPSQSCBF was maintained by BAS until improvements on the design were done under the "Statistical Development and Analysis in Support of the Agribusiness Sector (SDASAS)" Project funded by United States Agency for International Development (USAID). Updating of the broiler list frame was conducted in 1994 and 1997 under the project.
In 2006, the CLPSQSCBF has adopted the updated list frame based on the results of the 2006 Avian Population Survey (APS).
The latest improvements on the survey instruments and processing system were introduced in 2009. The questionaire was revised to include data on disposition by area of destination, and the processing system was enhanced.
The conduct of CLPSQSCBF was maintained by BAS until improvements on the design were done under the "Statistical Development and Analysis in Support of the Agribusiness Sector (SDASAS)" Project funded by United States Agency for International Development (USAID). Updating of the broiler list frame was conducted in 1994 and 1997 under the project.
In 2006, the CLPSQSCBF has adopted the updated list frame based on the results of the 2006 Avian Population Survey (APS).
The latest improvements on the survey instruments and processing system were introduced in 2009. The questionaire was revised to include data on disposition by area of destination, and the processing system was enhanced.
Abstract
The Commercial Livestock and Poultry Survey-Quarterly Survey of Commercial Broiler Farms (CLPSQSCBF) is being conducted quarterly and seeks to provide information on the inventory or standing stocks of broiler; number of day old chicks (DOCs) received/placed in the farm; number of birds/broilers harvested or produced in a quarter; disposition by intention, and by area of destination; and the average weight per head of broilers disposed.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Commercial Broiler Farms including Broiler Contract Growers
Version
Version Description
v1.0 - Raw data by commercial farm, not anonymized, for internal use.
Version Date
2009-12-01
Scope
Notes
Commercial Broiler Farms: Inventory, Acquisition and Disposition
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| agricultural, forestry and rural industry [2.1] | CESSDA | http://www.nesstar.org/rdf/common |
Coverage
Geographic Coverage
National coverage
Provinces
Provinces
Geographic Unit
Province
Universe
Commercial Broiler Farms including Broiler Contract Growers
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Bureau of Agricultural Statistics (BAS) | Department of Agriculture (DA) |
Funding Agency/Sponsor
| Name | Abbreviation |
|---|---|
| Bureau of Agricultural Statistics | BAS |
Sampling
Sampling Procedure
The domain of the survey is the province. All farm operators or farm establishments in the province constitute the frame for the survey. The sampling frame was updated based on the 2006 Avian Population Survey (APS).
The sampling design considers the number of farms and the corresponding maximum housing capacities of the farms in the province. In provinces with 20 farms or below, farms are completely enumerated. Provinces, however, with large number of farms or those with 21 or more farms/farm establishments, stratification is applied using Dalenius Hodges method with the maximum housing capacity as the stratification variable. The number of strata per province ranges from 2 to 4 depending on the population or the heterogeneity or homogeneity of the stratification variable. Sample allocation for each stratum is done using the Neyman procedure with coefficient of variation set at 5%. A minimum of 5 samples per stratum is allocated, i.e.., if the computed allocated sample size for a stratum is less than 5, 5 samples are taken from the stratum. A stratum may have less than 5 samples only if the total number of farms in that stratum is less than 5. Selection of samples from each stratum is done using simple random sampling.
The sampling procedure is as follows:
1. Ranking of the farms in ascending order according to their maximum housing capacity;
2. Delineating the stratum boundaries using Dalenius-Hodges method (Unique stratum boundaries are derived for each province);
3. Determining the total number of commercial animal farms per stratum;
4. Allocating sample size for each stratum using Neyman procedure (A five percent coefficient of variation (5% cv) is assumed and a minimum of five (5) samples are taken when Nh ³ 5); and
5. Selecting the required number of sample farms using simple random sampling.
The sampling design considers the number of farms and the corresponding maximum housing capacities of the farms in the province. In provinces with 20 farms or below, farms are completely enumerated. Provinces, however, with large number of farms or those with 21 or more farms/farm establishments, stratification is applied using Dalenius Hodges method with the maximum housing capacity as the stratification variable. The number of strata per province ranges from 2 to 4 depending on the population or the heterogeneity or homogeneity of the stratification variable. Sample allocation for each stratum is done using the Neyman procedure with coefficient of variation set at 5%. A minimum of 5 samples per stratum is allocated, i.e.., if the computed allocated sample size for a stratum is less than 5, 5 samples are taken from the stratum. A stratum may have less than 5 samples only if the total number of farms in that stratum is less than 5. Selection of samples from each stratum is done using simple random sampling.
The sampling procedure is as follows:
1. Ranking of the farms in ascending order according to their maximum housing capacity;
2. Delineating the stratum boundaries using Dalenius-Hodges method (Unique stratum boundaries are derived for each province);
3. Determining the total number of commercial animal farms per stratum;
4. Allocating sample size for each stratum using Neyman procedure (A five percent coefficient of variation (5% cv) is assumed and a minimum of five (5) samples are taken when Nh ³ 5); and
5. Selecting the required number of sample farms using simple random sampling.
Response Rate
85%
Weighting
Sample weights were calculated for each stratum.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2009-03-23 | 2009-03-27 | First Quarter |
| 2009-06-22 | 2009-06-26 | Second Quarter |
| 2009-09-21 | 2009-09-25 | Third Quarter |
| 2009-12-07 | 2009-12-11 | Fourth Quarter |
Data Collection Mode
Face-to-face [f2f]
Supervision
The Provincial Agricultural Statistics Officers (PASOs) and Regional Agricultural Statistics Officers (RASOs) conduct briefing prior to data collection process. The RASOs and PASOs do spot checking for any possible problem arising from the conduct of the survey. The PASOs make sure that the data collected are verified, edited and processed. The RASOs and PASOs see to it that estimates are sent to the Central Office on time.
Data Collection Notes
The Commercial Livestock and Poultry Survey-Quarterly Survey of Commercial Broiler Farms (CLPSQSCBF) covers broiler enterprises or farms with a capacity of at least 1000 birds during the reference quarter. Data collection for broiler farms is being done quarterly. Survey operation is undertaken during the last week of the third month of each quarter.
The "enterprise or farm" approach is employed in the survey. Data collectors are required to go to the enterprise or farm site and interview a qualified respondent , which for the purposes of this survey, is any of the following:
1 - Operator/Manager
2 - Bookkeeper/Accountant
3 - Authorized Representative of the Enterprise/Farm
The "enterprise or farm" approach is employed in the survey. Data collectors are required to go to the enterprise or farm site and interview a qualified respondent , which for the purposes of this survey, is any of the following:
1 - Operator/Manager
2 - Bookkeeper/Accountant
3 - Authorized Representative of the Enterprise/Farm
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Bureau of Agricultural Statistics | BAS | Department of Agriculture |
Questionnaires
Questionnaires
The Quarterly Survey of Commercial Broiler Farm uses CLPS Form 7, which has the following sections:
Block A. SAMPLE IDENTIFICATION (front page of the questionnaire)
This block of the questionnaire provides a unique identification of the sample farms that will facilitate control of forms during data collection and processing. The List of Sample Farms (masterlist) provides the information needed in accomplishing this section.
Block B. INVENTORY
This block asks for the inventory/number of broilers on the farm during the reference period.
Block C. DAY OLD CHICKS RECEIVED
This block asks for the total number of day old chicks (DOCs) broilers delivered/bought/acquired/received/placed on the farm during the reference period.
Block D. DISPOSITION
This block asks for the number of broilers disposed/sold on the farm during the reference period.
Block E. DISPOSITION BY AREA OF DESTINATION
Block E. 1. Within the Province
Line 1.a. Sold live/dressed outside DP (by grower)
This line asks for the number of broilers sold live or dressed outside dressing plant (DP) during the reference period.
Line 1.b. Hauled by integrators/viajeros
This line asks for the number of broilers hauled by integrators/viajeros to be sold live or to be delivered to dressing plant (DP) with the average weight per bird during the reference period.
Block E. 2. Outside the Province
Line 2.a. Sold live by grower
This item asks for the number of broilers sold live to be brought to Metro Manila and other areas outside the province with the average weight per bird during the reference period.
Line 2.b. Hauled by integrators/viajeros
This item asks for the number of broilers hauled by integrators/viajeros to be brought to Metro Manila and/or delivered to dressing plants (DPs) within or outside the region with the average weight per bird during the reference period.
Block E. 3. Total Disposition
Line 1. Within the Province
This line asks for the total number of broilers sold live or dressed by growers, and those that were hauled by integrators to be sold live or delivered to dressing plant within the province.
Line 2. Metro Manila
This line asks for the total number of broilers sold live by growers, and those that were hauled by integrators to be sold live or delivered to Metro Manila.
Line 3. Other Areas
This line asks for the total number of broilers sold live by growers, and those that were hauled by integrators to be sold live in other areas within and outside the region.
Block A. SAMPLE IDENTIFICATION (front page of the questionnaire)
This block of the questionnaire provides a unique identification of the sample farms that will facilitate control of forms during data collection and processing. The List of Sample Farms (masterlist) provides the information needed in accomplishing this section.
Block B. INVENTORY
This block asks for the inventory/number of broilers on the farm during the reference period.
Block C. DAY OLD CHICKS RECEIVED
This block asks for the total number of day old chicks (DOCs) broilers delivered/bought/acquired/received/placed on the farm during the reference period.
Block D. DISPOSITION
This block asks for the number of broilers disposed/sold on the farm during the reference period.
Block E. DISPOSITION BY AREA OF DESTINATION
Block E. 1. Within the Province
Line 1.a. Sold live/dressed outside DP (by grower)
This line asks for the number of broilers sold live or dressed outside dressing plant (DP) during the reference period.
Line 1.b. Hauled by integrators/viajeros
This line asks for the number of broilers hauled by integrators/viajeros to be sold live or to be delivered to dressing plant (DP) with the average weight per bird during the reference period.
Block E. 2. Outside the Province
Line 2.a. Sold live by grower
This item asks for the number of broilers sold live to be brought to Metro Manila and other areas outside the province with the average weight per bird during the reference period.
Line 2.b. Hauled by integrators/viajeros
This item asks for the number of broilers hauled by integrators/viajeros to be brought to Metro Manila and/or delivered to dressing plants (DPs) within or outside the region with the average weight per bird during the reference period.
Block E. 3. Total Disposition
Line 1. Within the Province
This line asks for the total number of broilers sold live or dressed by growers, and those that were hauled by integrators to be sold live or delivered to dressing plant within the province.
Line 2. Metro Manila
This line asks for the total number of broilers sold live by growers, and those that were hauled by integrators to be sold live or delivered to Metro Manila.
Line 3. Other Areas
This line asks for the total number of broilers sold live by growers, and those that were hauled by integrators to be sold live in other areas within and outside the region.
Data Processing
Data Editing
Manual editing: The data collector reviews and completely fills up all items in the questionaires. He verifies and does manual editing and makes sure it is consistent with the requirements in the editing that was provided by the Central Office.
Other Processing
Electronic data processing: The Provincial Processing Officer (PPO) of BAS Provincial Operation Centers (POCs) is responsible in data coding, encoding, electronic data cleaning and generation of of system's generated outputs by barangay, municipality and province. The provincial outputs are submitted to the Regional Processing Officer (RPO) of BAS Regional Operations Centers (ROCs) to come up with the regional estimates.
Access policy
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Director | Bureau of Agricultural Statistics | info@bas.gov.ph | http://beans.bas.gov.ph |
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Director | Bureau of Agricultural Statistics | info@bas.gov.ph | http://beans.bas.gov.ph |
Confidentiality
The Bureau of Agricultural Statistics (BAS) strictly observes the confidentiality of data in accordance with Philippine Statistical System's "General Policy on the Production, Release and Dissemination of Microdata" approved by NSCB Resolution No. 5, Series of 2011. As stated in the BAS' survey questionnaires and the forms relevant to the conduct of any statistical inquiry, data provided by the respondents shall be used solely for statistical purposes.
Access conditions
The datasets of this study are categorized under licensed files. Access to licensed datasets is through request and is only granted to Data Users/Researchers with a legally registered sponsoring agency (university, company, research centre, national or international organization, etc.).
The Data Users/Researchers must agree to comply with the following:
1. Fill up a Data Access Agreement that will be provided.
2. Copies of the restricted data or any data created on the basis of the original data will not be copied or made available to anyone other than those mentioned in this Data Access Agreement, unless formally authorized by the BAS.
3. The data will only be processed for the stated statistical purpose in the agreement and not for investigation of specific individuals or organizations. Data will not in any way be used for any administrative, proprietary or law enforcement purposes.
4. The dataset must not be made to match with other datasets.
5. The Data Users/Researchers shall not attempt to identify any individual person, family, business, enterprise or organization. If such a unique disclosure is made inadvertently, no use will be made as to the identity of any person or establishment discovered. The identification will not be revealed to any other person not included in the Data Access Agreement.
6. The Data Users/Researchers must observe security measures to prevent unauthorized access to licensed microdata acquired from the BAS. The microdata must be destroyed upon the completion of their research. Destruction of the microdata will be confirmed in writing by the Data Users/Researchers to the BAS.
7. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the BAS/BAS Electronic Archiving and Network Services (BEANS) will cite the source of data in accordance with the citation requirement provided with the dataset.
8. If there are any changes or additional requirements in the orginal request, the Data User/Researcher must apply for another request.
9. Breaches of the Data Access Agreement will be taken seriously and the BAS will take action against those responsible for the lapses if wilful or accidental. Failure to comply with the directions of the BAS will be deemed to be a major breach of the agreement and may involve recourse to legal proceedings. The BAS will maintain and share with partner data archives a record of those individuals and organizations which are responsible for breaching the terms of the Data Access Agreement and will impose sanctions on release of future data to these parties.
The Data Users/Researchers must agree to comply with the following:
1. Fill up a Data Access Agreement that will be provided.
2. Copies of the restricted data or any data created on the basis of the original data will not be copied or made available to anyone other than those mentioned in this Data Access Agreement, unless formally authorized by the BAS.
3. The data will only be processed for the stated statistical purpose in the agreement and not for investigation of specific individuals or organizations. Data will not in any way be used for any administrative, proprietary or law enforcement purposes.
4. The dataset must not be made to match with other datasets.
5. The Data Users/Researchers shall not attempt to identify any individual person, family, business, enterprise or organization. If such a unique disclosure is made inadvertently, no use will be made as to the identity of any person or establishment discovered. The identification will not be revealed to any other person not included in the Data Access Agreement.
6. The Data Users/Researchers must observe security measures to prevent unauthorized access to licensed microdata acquired from the BAS. The microdata must be destroyed upon the completion of their research. Destruction of the microdata will be confirmed in writing by the Data Users/Researchers to the BAS.
7. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the BAS/BAS Electronic Archiving and Network Services (BEANS) will cite the source of data in accordance with the citation requirement provided with the dataset.
8. If there are any changes or additional requirements in the orginal request, the Data User/Researcher must apply for another request.
9. Breaches of the Data Access Agreement will be taken seriously and the BAS will take action against those responsible for the lapses if wilful or accidental. Failure to comply with the directions of the BAS will be deemed to be a major breach of the agreement and may involve recourse to legal proceedings. The BAS will maintain and share with partner data archives a record of those individuals and organizations which are responsible for breaching the terms of the Data Access Agreement and will impose sanctions on release of future data to these parties.
Citation requirements
As specified in the agreement under access conditions, users are required to cite the source of data in accordance with the citation requirement provided with the dataset. The citation requirement for this study is as follows:
"Bureau of Agricultural Statistics, Commercial Livestock and Poultry Survey-Quarterly Survey of Broiler Commercial Farms, Version 1.0 of the licensed dataset (December 2009), provided by the BAS Electronic Archiving and Network Services. http://beans.bas.gov.ph"
"Bureau of Agricultural Statistics, Commercial Livestock and Poultry Survey-Quarterly Survey of Broiler Commercial Farms, Version 1.0 of the licensed dataset (December 2009), provided by the BAS Electronic Archiving and Network Services. http://beans.bas.gov.ph"
Disclaimer and copyrights
Disclaimer
The data users/researchers acknowledge that the BAS and the agency funding the study 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.
Copyright
Copyright 2008-2009 © Bureau of Agricultural Statistics, All rights reserved.
Metadata production
DDI Document ID
DDI_PHL_2009_CLPSQSBCF_v01_M
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Elizabeth B. Cabrera | EBC | Bureau of Agricultural Statistics | Documentor |
| Cesar P. Angcog | CPA | Bureau of Agricultural Statistics | Documentor |
| Accelerated Data Program | ADP | International Household Survey Network | Editing for the IHSN Survey Catalog |
Date of Metadata Production
2009-12-01
DDI Document version
Version 01: Adopted from "DDI_PHL_2009_CLPSQSBCF_v02_M" DDI that was done by metadata producers mentioned in "Metadata Production" section.