Commercial Livestock and Poultry Survey - Layer 2017
Philippines, 2017
Reference ID
PHL-PSA-CLPS-Layer-2017-v1.0
Producer(s)
Philippine Statistics Authority
Metadata
Created on
Sep 13, 2021
Last modified
Sep 13, 2021
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Identification
Commercial Livestock and Poultry Survey - Layer 2017
Layer
Name | Abbreviation |
---|---|
Philippines | PHL |
PHL-PSA-CLPS-Layer-2017-v1.0
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 are the expected supply and consumption requirements of the people, particularly of meat products. The Commercial Livestock and Poultry Survey (CLPS) seeks to provide if but partially, such information.
The CLPS is one of the major regular activities of the Livestock and Poultry Statistics Division (LPSD) under the Economic Sector Statistics Service (ESSS) of the Philippine Statistics Authority (PSA). The CLPS is undertaken to provide an estimate on current inventory and supply and disposition of commercial livestock and poultry farms. The CLPS is done quarterly for swine, broiler, and layer while data collection for carabao, cattle, goat, duck and sheep is likewise conducted semi-annually.
The survey covers all provinces including Dinagat Islands and two (2) chartered cities (Davao City and Zamboanga City). Moreover, a separate structured questionnaire in the collection of the necessary information for each animal type is utilized.
Estimates generated from the CLPS and the Backyard Livestock and Poultry Survey (BLPS) are aggregated to come up with the total Livestock and Poultry (L&P) estimates. The data generated was perceived to be useful as guide for the government and the private sector in making plans and decisions with respect to farm production and improvement of the livestock and poultry industry.
The data generated from this survey are disseminated through the countrySTAT website and featured in the Quarterly Commodity Special Releases and Annual Commodity Situation Reports released every May.
The collection of data on this survey is undertaken by hired Statistical Researchers (SRs) while the electronic processing is done by the regular staff in the Provincial Statistical Offices (POs). The SRs are trained prior to field operations to ensure that the procedures and concepts are understood. The training includes mock interviews and dry-run exercises.
The CLPS is one of the major regular activities of the Livestock and Poultry Statistics Division (LPSD) under the Economic Sector Statistics Service (ESSS) of the Philippine Statistics Authority (PSA). The CLPS is undertaken to provide an estimate on current inventory and supply and disposition of commercial livestock and poultry farms. The CLPS is done quarterly for swine, broiler, and layer while data collection for carabao, cattle, goat, duck and sheep is likewise conducted semi-annually.
The survey covers all provinces including Dinagat Islands and two (2) chartered cities (Davao City and Zamboanga City). Moreover, a separate structured questionnaire in the collection of the necessary information for each animal type is utilized.
Estimates generated from the CLPS and the Backyard Livestock and Poultry Survey (BLPS) are aggregated to come up with the total Livestock and Poultry (L&P) estimates. The data generated was perceived to be useful as guide for the government and the private sector in making plans and decisions with respect to farm production and improvement of the livestock and poultry industry.
The data generated from this survey are disseminated through the countrySTAT website and featured in the Quarterly Commodity Special Releases and Annual Commodity Situation Reports released every May.
The collection of data on this survey is undertaken by hired Statistical Researchers (SRs) while the electronic processing is done by the regular staff in the Provincial Statistical Offices (POs). The SRs are trained prior to field operations to ensure that the procedures and concepts are understood. The training includes mock interviews and dry-run exercises.
Sample survey data [ssd]
Commercial Farm which can be a household or establishment/enterprise that raises any of the following livestock and poultry animals: carabao, cattle, swine, goat, chicken and duck.
A household/establishment is considered a commercial farm if it satisfies a pre-identified qualification that is discussed in Page 5 of the CLPS Manual found in Related Materials.
A household/establishment is considered a commercial farm if it satisfies a pre-identified qualification that is discussed in Page 5 of the CLPS Manual found in Related Materials.
Version
Version 2.0: Final dataset for official estimates
2018-05-22
Scope
Topic | Vocabulary | URI |
---|---|---|
Agriculture, Forestry, Fisheries | Philippine Statistics Authority | |
Business statistics | Philippine Statistics Authority |
Coverage
The geographic domain is provincial excluding National Capital Region (NCR).
Commercial Farm which can be a household or establishment/enterprise that raises any of the following livestock and poultry animals: carabao, cattle, swine, goat, chicken and duck.
A household/establishment is considered a commercial farm if it satisfies a pre-identified qualification that is discussed in Page 5 of the CLPS Manual found in Related Materials.
A household/establishment is considered a commercial farm if it satisfies a pre-identified qualification that is discussed in Page 5 of the CLPS Manual found in Related Materials.
The CLPS covers all livestock and poultry farms with commercial type of operation. Commerical farm refers to a farm or household operated by a farmer/household/operator that raises at least one of the following:
Livestock - Carabao, Cattle, Swine and Goat
Poultry - Layer, Broiler and Duck
Moreover, it must satisfy at least one of the following criteria:
Livestock
· at least 21 heads of adult and zero head of young
· at least 41 heads of young animals and above
· at least 10 heads of adult and 22 heads of young and above
Poultry
· at least 500 layers, or 1,000 broilers and above
· at least 100 layers and 100 broilers if raised in combination and above
· at least 100 head of duck regardless of age
Traders such as assemblers and distributors, etc. is in this survey.
Trader - a person or entity that buys and sells goods or commodities.
Assembler-a type of trader who sources and procures his/her stocks from contract growers or independent farmers in several barangays in a specific municipality, and transports the produce to a trading or market center.
Distibutor - a trader who sells commodities to other traders and consumers.
Livestock - Carabao, Cattle, Swine and Goat
Poultry - Layer, Broiler and Duck
Moreover, it must satisfy at least one of the following criteria:
Livestock
· at least 21 heads of adult and zero head of young
· at least 41 heads of young animals and above
· at least 10 heads of adult and 22 heads of young and above
Poultry
· at least 500 layers, or 1,000 broilers and above
· at least 100 layers and 100 broilers if raised in combination and above
· at least 100 head of duck regardless of age
Traders such as assemblers and distributors, etc. is in this survey.
Trader - a person or entity that buys and sells goods or commodities.
Assembler-a type of trader who sources and procures his/her stocks from contract growers or independent farmers in several barangays in a specific municipality, and transports the produce to a trading or market center.
Distibutor - a trader who sells commodities to other traders and consumers.
Producers and sponsors
Name | Abbreviation | Role |
---|---|---|
Government of the Philippines | GOP | Full funding |
Sampling
SAMPLING DOMAIN
The domain of the survey is the province. All livestock and poultry commercial farms or establishments in the province identified through the listing activities constitute the frame for the province.
SAMPLE SELECTION PROCEDURE
The sampling design used for each animal type are the same but are treated independently. The sampling design depends on the total number of commercial farms and the corresponding maximum housing capacities of the farms in the province. In provinces with less than 21 farms, all farms are completely enumerated. However, provinces with a large number of farms or those with 21 or more farms, stratification is applied using the Dalenius-Hodges method of stratification with the maximum housing capacity as stratification variable. The number of strata per province ranges from two (2) to four (4) depending on the heterogeneity or homogeneity of the maximum housing capacity. Sample allocation for each stratum is done using the Neyman procedure with coefficient of variation set at five percent (5%). A minimum of five (5) samples per stratum is allocated. 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 sample selection procedure is discussed as follows:
1. Rank all farms in ascending order according to their maximum housing capacity;
2. Delineate the stratum boundaries using Dalenius-Hodges method (unique stratum boundaries for each province are derived);
3. Determine the total number of commercial farms per stratum;
4. Allocate sample size for each stratum using Neyman procedure (a five percent (5%) coefficient of variation is assumed and a minimum of five (5) samples are taken when Nh = 5). For stratum with Nh<5, all farms in that stratum shall be enumerated; and
5. Select the required number of sample farms using the simple random sampling method.
For provinces where stratified sampling is employed, in case of non-response, adjustment of expansion factor is implemented by stratum and by animal type using the status of the sample commercial farms.
Comprehensive discussion on the estimation procedure is found in Page 10 of the CLPS manual found in Related Materials.
The domain of the survey is the province. All livestock and poultry commercial farms or establishments in the province identified through the listing activities constitute the frame for the province.
SAMPLE SELECTION PROCEDURE
The sampling design used for each animal type are the same but are treated independently. The sampling design depends on the total number of commercial farms and the corresponding maximum housing capacities of the farms in the province. In provinces with less than 21 farms, all farms are completely enumerated. However, provinces with a large number of farms or those with 21 or more farms, stratification is applied using the Dalenius-Hodges method of stratification with the maximum housing capacity as stratification variable. The number of strata per province ranges from two (2) to four (4) depending on the heterogeneity or homogeneity of the maximum housing capacity. Sample allocation for each stratum is done using the Neyman procedure with coefficient of variation set at five percent (5%). A minimum of five (5) samples per stratum is allocated. 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 sample selection procedure is discussed as follows:
1. Rank all farms in ascending order according to their maximum housing capacity;
2. Delineate the stratum boundaries using Dalenius-Hodges method (unique stratum boundaries for each province are derived);
3. Determine the total number of commercial farms per stratum;
4. Allocate sample size for each stratum using Neyman procedure (a five percent (5%) coefficient of variation is assumed and a minimum of five (5) samples are taken when Nh = 5). For stratum with Nh<5, all farms in that stratum shall be enumerated; and
5. Select the required number of sample farms using the simple random sampling method.
For provinces where stratified sampling is employed, in case of non-response, adjustment of expansion factor is implemented by stratum and by animal type using the status of the sample commercial farms.
Comprehensive discussion on the estimation procedure is found in Page 10 of the CLPS manual found in Related Materials.
In 2017, the quarterly response rate for CLPS at the national level ranges from 85-90 percent.
The estimation procedure for provinces with completely enumerated farms is different from those provinces where stratified sampling method is applied.
COMPLETE ENUMERATION
Provincial totals for the completely enumerated provinces are obtained by simply summing up all the observations in the province.
STRATIFIED SAMPLING
Each stratum will yield an independent estimate. To generate the expanded estimate for the stratum, the unbiased total shall be multiplied to the expansion factor. Expansion Factor refers to the total number of commercial farms (Nh) in that stratum over the total number of responding sample farms (nh') belonging to the same stratum.
For provinces where stratified sampling is employed, in case of non-response, adjustment of expansion factor is implemented by stratum and by animal type using the status of the sample commercial farm.
Comprehensive discussion on the estimation procedure is found in Page 10 of the CLPS manual found in the Related Materials.
COMPLETE ENUMERATION
Provincial totals for the completely enumerated provinces are obtained by simply summing up all the observations in the province.
STRATIFIED SAMPLING
Each stratum will yield an independent estimate. To generate the expanded estimate for the stratum, the unbiased total shall be multiplied to the expansion factor. Expansion Factor refers to the total number of commercial farms (Nh) in that stratum over the total number of responding sample farms (nh') belonging to the same stratum.
For provinces where stratified sampling is employed, in case of non-response, adjustment of expansion factor is implemented by stratum and by animal type using the status of the sample commercial farm.
Comprehensive discussion on the estimation procedure is found in Page 10 of the CLPS manual found in the Related Materials.
Data Collection
Start | End | Cycle |
---|---|---|
2017-03-22 | 2017-03-31 | April Round |
2017-06-21 | 2017-06-30 | July Round |
2017-09-20 | 2017-09-29 | October Round |
2017-11-22 | 2017-12-01 | January Round |
Start | End | Cycle |
---|---|---|
2017-01-01 | 2017-03-31 | April Round |
2017-04-01 | 2017-06-30 | July Round |
2017-07-01 | 2017-09-30 | October Round |
2017-10-01 | 2017-12-31 | January Round |
Face-to-face [f2f]
Field supervision is undertaken by the Provincial Statistics Office (PSO) staff in their respective area of assignments. The Provincial Statistics Officer serves as overall supervisor in the province, while the Chief of the Statistical Operation and Coordination Division - Regional Statistics Services Office (SOCD-RSSO) oversees the conduct of CLPS in the region. Technical staff from the Central Office, specifically from the Livestock and Poultry Statistics Division (LPSD), also makes field visits in some provinces to observe the field operations and help in addressing gray areas.
Among the responsibilities of the supervisor is to conduct training for Statistical Researchers prior to data collection, do spot checking and back checking activities during and after data collection, manual editing of accomplished survey returns, address problems encountered by the Statistical Researchers under his/her supervision and report to LPSD any significant findings that may contribute to the analysis of the survey results.
Among the responsibilities of the supervisor is to conduct training for Statistical Researchers prior to data collection, do spot checking and back checking activities during and after data collection, manual editing of accomplished survey returns, address problems encountered by the Statistical Researchers under his/her supervision and report to LPSD any significant findings that may contribute to the analysis of the survey results.
The CLPS - Layer questionnaire has nine (9) main blocks aimed to collect necessary information to come up with total egg production and culled layer production during the reference period. These blocks are discussed below:
Block A. GEOGRAPHIC INFORMATION: This accounts for the geographic information where the sample farm is located. It also includes the name and codes of the region, province, city/municipality and barangay.
Block B. SAMPLE IDENTIFICATION: This accounts for the unique identification of the sample farm. It includes the stratum number, farm serial number, name and location of the farm, name of the operator, name and classification of the respondent and farm status as of the date of visit.
Block C. INVENTORY: This aims to gather information on the inventory of animals present in the farm by age classification regardless of ownership as of the reference date.
Block D. EGG PRODUCTION INDICATORS: This aims to gather information on the monthly inventory of laying flock, egg laying efficiency ratio and mortality rate which are used in the derivation of egg production in the farm during the reference period.
Block E. DISPOSITION BY AREA OF DESTINATION: This obtains information on the area of destination of the commodity disposed.
Block F. NUMBER OF LAYERS AND GROWING FLOCK EXPECTED TO LAY EGGS: This intends to collect information on the number of chicken layers belonging to laying and growing flock expected to lay eggs and their corresponding ELER for the next reference period.
Block G. LAYERS DISPOSITION: This intends to gather information on the disposition of unproductive layers in the farm during the reference period.
Block H. ASSESSMENT OF FARM PRODUCTION: This intends to compare the farm's production for the current quarter as against the farm's production during the previous quarter and last year of the same quarter. The reason/s for change is, likewise, accounted.
Block I. CERTIFICATION: For record of Interviewer's identification, supervisor's identification and date of accomplishment and review.
Comprehensive discussion of the data items in the questionnaire is discussed in Chapter 8 (Instructions in Accomplishing CLPS Forms) in the CLPS Manual. Moreover, the 2017 CLPS- Layer questionnaire is attached in the Related Materials.
Block A. GEOGRAPHIC INFORMATION: This accounts for the geographic information where the sample farm is located. It also includes the name and codes of the region, province, city/municipality and barangay.
Block B. SAMPLE IDENTIFICATION: This accounts for the unique identification of the sample farm. It includes the stratum number, farm serial number, name and location of the farm, name of the operator, name and classification of the respondent and farm status as of the date of visit.
Block C. INVENTORY: This aims to gather information on the inventory of animals present in the farm by age classification regardless of ownership as of the reference date.
Block D. EGG PRODUCTION INDICATORS: This aims to gather information on the monthly inventory of laying flock, egg laying efficiency ratio and mortality rate which are used in the derivation of egg production in the farm during the reference period.
Block E. DISPOSITION BY AREA OF DESTINATION: This obtains information on the area of destination of the commodity disposed.
Block F. NUMBER OF LAYERS AND GROWING FLOCK EXPECTED TO LAY EGGS: This intends to collect information on the number of chicken layers belonging to laying and growing flock expected to lay eggs and their corresponding ELER for the next reference period.
Block G. LAYERS DISPOSITION: This intends to gather information on the disposition of unproductive layers in the farm during the reference period.
Block H. ASSESSMENT OF FARM PRODUCTION: This intends to compare the farm's production for the current quarter as against the farm's production during the previous quarter and last year of the same quarter. The reason/s for change is, likewise, accounted.
Block I. CERTIFICATION: For record of Interviewer's identification, supervisor's identification and date of accomplishment and review.
Comprehensive discussion of the data items in the questionnaire is discussed in Chapter 8 (Instructions in Accomplishing CLPS Forms) in the CLPS Manual. Moreover, the 2017 CLPS- Layer questionnaire is attached in the Related Materials.
Name | Abbreviation | Affiliation |
---|---|---|
Philippine Statistics Authority | PSA | National Economic and Development Authority |
Data Processing
Editing is the process of scrutinizing the accomplished CLPS forms as to completeness of required data items and consistency of data between items before it undergoes machine processing. Manual editing consists of checking for completeness, consistency and legibility of entries reported in the forms.
For CLPS, editing is done in two (2) stage. The first stage of editing is done during the data collection. The Statistical Researcher, before leaving the premises of the sample commercial farm, shall do field editing. This activity involves assuring that all data items in the questionnaires are asked and that the answers were written down correctly. The second stage of editing is conducted by the supervisor upon the submission of accomplished questionnaires/forms by the SR called manual editing.
For CLPS, editing is done in two (2) stage. The first stage of editing is done during the data collection. The Statistical Researcher, before leaving the premises of the sample commercial farm, shall do field editing. This activity involves assuring that all data items in the questionnaires are asked and that the answers were written down correctly. The second stage of editing is conducted by the supervisor upon the submission of accomplished questionnaires/forms by the SR called manual editing.
Data Appraisal
To ensure the quality of its statistical services, the PSA has mainstreamed in its statistical system for generating production statistics, a quarterly data review and validation process. This is undertaken at the provincial, regional and national levels to incorporate the impact of events not captured in the survey. The data review process starts at the data collection stage and continues up to the processing and tabulation of results. However, data examination is formalized during the provincial data review since it is at this stage where the data at the province-level is analyzed as a whole. The process involves analyzing the survey data in terms of completeness, consistency among variables, trend and concentration of the data and presence of extreme observations. Correction of spotted errors in the data is done afterwards. The output of the process is a clean data file used in the re-computation of survey estimates. The estimates generated from the clean data set are thoroughly analyzed and validated with auxiliary information to incorporate the impact of information and events not captured by the survey. These information include results of the validating parameters on livestock and poultry, historical data series, report on weather condition, supply and demand, marketing of agricultural products, and information on livestock and poultry program implementation.
Data access
Name | Affiliation | URI | |
---|---|---|---|
National Statistician | Philippine Statistics Authority | info@psa.gov.ph | www.psa.gov.ph |
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.
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
The data users/researchers acknowledge that the PSA 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.
(c) 2017, Philippine Statistics Authority
contacts
Name | Affiliation | URI | |
---|---|---|---|
Livestock and Poultry Statistics Division | Philippine Statistics Authority | lpsd.staff@psa.gov.ph |