Commercial Livestock and Poultry Survey - Layer 2017
Agricultural Survey [ag/oth]
The Commercial Livestock and Poultry Survey (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 frames used in the survey of commercial livestock and poultry farms have been updated several times. In 1992, the Livestock and Poultry Establishment Survey (LPES) was conducted to develop sampling frames for carabao, cattle, goat and duck. Subsequently, the survey was replicated in 1994 and 1997 to generate comprehensive sampling frames for swine, broiler and layer. Simultaneous with the 1997 LPES, the sampling frame for duck was updated in producing provinces namely: Bulacan, Nueva Ecija, Pampanga, Tarlac, Isabela, Laguna, Rizal, and Albay.
In 2004, the then Bureau of Agricultural Statistics (BAS), undertook an updating activity of all commercial farms for swine in the country. Comprehensive frame updating or listing activities were conducted through two (2) nationwide surveys. In 2006, the Avian Population Survey (APS) was done to list all backyard operators/raisers using “Key Informant Approach” and complete enumeration of all commercial farms engaged in raising avian species. Moreover, to complement the APS, the same approach was used in 2010 to list all farms/enterprises raising livestock animals in the country through the conduct of Livestock Population Survey (LPS).
In 2009, improved questionnaire for broiler was developed. Assessment of farm production was included in the questionnaire to collect descriptive information on the productivity of the farm and corresponding reason for the assessment. Three (3) new data items namely: monthly laying flock inventory, monthly Egg Laying Efficiency Ratio (ELER) and assessment of farm production were included in the layer questionnaire in 2014. The first two (2) data items are used to generate monthly egg production. In 2017, all eight (8) questionnaires were designed to accommodate data collection for the whole year.
Currently, the PSA maintains a frame management system through which updating and maintenance of sampling frames are done. For CLPS, the sampling frame is updated and maintained at LPSD using a structured form - the Frame Maintenance Form (FMF), submitted by the POs after each survey round.
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 information present here is related to the layer module.
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 country STAT 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.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
The description of scope for the survey covers the following:
1. Geographic information
2. Identification of sample
4. Egg production indicators
5. Sale and area of destination
6. Number of layers and growing flock expected to lay eggs
7. Sale of layers
8. Assessment of farm production
Agriculture, Forestry, Fisheries
Phillipine Statistics Authority
Phillipine Statistics Authority
The CLPS covers all livestock and poultry farms with commercial type of operation. Commercial farm refers to a farm or household operated by a farmer/household/operator that raises at least one of the following:
1. Livestock - Carabao (Water Buffaloes), Cattle, Swine and Goat
2. Poultry - Layer, Broiler and Duck
Also, it must satisfy at least one of the following criteria:
· 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
· 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
The survey also covers traders such as assemblers and distributors, etc.
Trader refers to a person or entity that buys and sells goods or commodities.
Assembler refers to 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.
Distributor refers to a trader who sells commodities to other traders and consumers.
Producers and sponsors
Phillipines Statistics Authority
National Economic and Development Authority
Government of the Phillipines
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 response rate for the survey ranged from 85-90%.
The estimation procedure for provinces with completely enumerated farms is different from those provinces where stratified sampling method is applied.
Provincial totals for the completely enumerated provinces are obtained by simply summing up all the observations in the province.
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.
Dates of Data Collection
Data Collection Mode
Face-to-face paper [f2f]
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.
The system used in processing the data collected from this survey was developed by the Systems Development Division (SDD) of PSA. CSPro, the software used in most of the surveys of PSA, is utilized.
Using a pre-formatted template, consolidated estimates are generated through the Provincial Summary Worksheets (PSW-C). This worksheet presents data for each sample commercial farm, raw provincial total data and expanded provincial total estimates.
These estimates are transferred manually into an excel-based validation sheet called the "Supply-Disposition Worksheets" where the PSO, together with the L&P focal person, act as data analysts. To ensure the quality of data, the generated outputs shall undergo data review and validation. Data review involves internal checks of the data collected, consistency and completeness check of data items and detection and correction of identified errors. Data validation, on the other hand, ensures that the estimates generated are truly reflective of the current industry situation. It involves a thorough analysis of the generated estimates using auxiliary information. Auxiliary information includes animal dispersal from government programs, weather condition, price trends, import and export among others. Data review and validation is supported by the Electronic Data Review Workbook (EDRW) Compilation System. This is a tool used in reviewing and validating the L&P statistics and commonly termed as "Supply-Disposition (S-D) Technique".
The outputs of the CLPS together with BLPS undergo three (3) levels of data review and validation. The first stage is at the Provincial level known as the Provincial Data Review (PDR) followed by the second level which takes place at the RSSOs, known as the Regional Data Review (RDR). During the RDR, the RSSOs shall likewise review and validate the outputs of the provinces under its jurisdiction.
The third level of data review and validation and is the final level is conducted at the Central Office. All outputs sent by the RSSOs shall be consolidated by the LPSD commodity specialists to generate the final livestock and poultry statistical tables as input in the preparation of reports.
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. This 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.
Interview is conducted using the local dialect of the area of enumeration. Statistical Researchers (SRs) were trained by their field supervisor/s the correct translation of data items in the questionnaire as to avoid confusion and misclassification of items. Prior to machine processing, local terms are translated into its English equivalent, if necessary and available. In case of non-response, SRs were given instruction to collect necessary information such as estimated inventory and disposition of the sample commercial farm from qualified Key Informants. These estimates shall serve as indicator in the data review and validation but be excluded in the machine processing. Supervision is conducted by the provincial L&P focal person to ensure the quality of data gathered by the SR. This activity is also conducted to address grey areas during the enumeration part of the survey.
The PSA and its field personnel shall hold all data supplied by the establishments/households/individuals in confidence. The information obtained from each respondent of the census/survey or individual/establishment in administrative records shall be for statistical purposes only and not for taxation, regulation nor investigation purposes. The data shall be processed with others of the same category and shall be disseminated in summary forms or statistical tables so as not to reveal the identity of any respondent.
Confidentiality of primary data collected from respondents/administrative records systems is guaranteed by Section 26 of the Republic Act No. 10625 (Philippine Statistics Act of 2013). Penalties shall be enforced to acts of breach of confidential information pursuant to Section 27 of the said Act.
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.
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.