Commercial Livestock and Poultry Survey 2016
Philippines, 2016
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PHL_2016_CLPS-S_v01_M
Commercial Livestock and Poultry Survey 2016
Swine
| Name | Country code |
|---|---|
| Philippines | PHL |
Agricultural Survey [ag/oth]
Sampling frames were based on the results of the 1994 and 1997 Livestock and Poultry Establishment Survey (LPES), the 2nd and 3rd LPES for layer, broiler and swine. In 2004 BAS under its frame management system, undertook an updating activity for commercial farm for swine.
In 2009, improved CLPS questionnaires for swine was developed.
In 2010, comprehensive frame updating or listing activities was conducted under nationwide surveys called the Livestock Population Survey (LPS). The survey generated data on the number of household raisers from backyard farms and list of commercial farms in the country.
Any updating in the CLPS sampling frame is reflected in the Frame Maintenance Form (FMF), which is submitted on a quarterly basis.
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) aims to provide an estimate of the current supply and disposition practices for commercial livestock and poultry in the country.
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 agriculture 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.
Sample survey data [ssd]
Commercial farm
Version
2017-05-19
Scope
The scope of the survey includes the basic characteristics and operations of commercial farms. It reflects the data on the inventory, number of births, number of deaths and number of slaughtered livestock and poultry commodities.
| Topic | Vocabulary |
|---|---|
| Agriculture, forestry, fisheries | Philippine Statistics Authority |
| Business and agricultural surveys | Philippine Statistics Authority |
Coverage
All regions and provinces except for National Capital Region
- All swine farms that are considered as commercial farms.
A commerical farm refers to a farm or household operated by a farmer/household/operator that raises at least one of the following:
- 21 heads of adult and zero head of young
- 41 heads of young animals and above
- 10 heads of adult and 22 heads of young and above
Producers and sponsors
| Name | Affiliation |
|---|---|
| Philippine Statistics Authority | National Economic and Development Authority |
| Name | Role |
|---|---|
| Philippine Statistics Authority | Full funding |
Sampling
The domain of the survey is the province. All farms or farm establishments in the province that are considered as commercial farms constitute the frame for the province.
The sampling design depends on the number of farms and the corresponding maximum housing capacities of the farms in the province. In provinces with 20 farms or below, all the farms are completely enumerated. For provinces 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 measure of size. The number of strata per province ranges from 2 to 4 depending on the population or on 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 percent. A minimum of 5 sample farms per stratum is allocated, i.e.., if the computed sample size for a stratum is less than 5, then 5 sample farms are taken from the stratum. A stratum may have less than 5 sample farms only if the total number of farms in that stratum is less than 5. Selection of sample farms from each stratum is done using simple random sampling.
For CLPS January Round 2016, the response rates was above 90 percent.
For the COMPLETELY ENUMERATED, Provincial totals are obtained simply by summing up all the observations in the province.
The sum of the observation from the cth farm in the province p' (complete enumeration province) is added to the total farms for all those farms located in the province p' but whose information are gathered from its MM office.
For the SAMPLED PROVINCES, the estimated provincial total is obtained simply by aggregating all the stratum estimates in the province.
Survey instrument
The questionnaire covers the following topics:
Block A. GEOGRAPHIC INFORMATION (front page of the questionnaire)
Block B. SAMPLE IDENTIFICATION: This block contains seven (7) items which provides a unique identification of the sample farms that will facilitate control of the forms during data collection and processing.
Block C. INVENTORY: This block intends to gather information of total swine inventory in the farm during the reference period.
Block D. SOW INFORMATION: his block seeks to gather information on the number of sow that gave birth and the number of sows expected to give birth in the farm during the reference period.
Block E. DISPOSITION: This block seeks to collect information on the number of swine disposed monthly by the farm during the reference quarter.
Block F. DISPOSITION BY AREA OF DESTINATION: This block intends to collect information on the number of hogs disposed by area of destination during the reference period.
Block G. INTERVIEW/SURVEY PARTICULARS
Data collection
| Start | End | Cycle |
|---|---|---|
| 2016-03-24 | 2016-03-31 | April Round |
| 2016-06-23 | 2016-06-30 | July Round |
| 2016-08-23 | 2016-08-30 | October Round |
| 2016-11-22 | 2016-12-01 | January Round |
| Name | Affiliation |
|---|---|
| Philippine Statistics Authority | National Economic and Development Authority |
Field supervision was undertaken by the Provincial Statistics Office (PSO) staff in their respective area of assignments. The Provincial Statistics Officer served as overall supervisor in the province, while the Chief of the Statistical Operation and Coordination Division-Regional Statistics Services Office was the overall supervisor in the region. Central Office technical staff also made field visits in some provinces to observe the field operations. Among the responsibilities of the supervisor were the conduct of Statistical Researcher training prior to data collection, doing spotchecking and backchecking activities during and after data collection, editing of completed returns, addressing of problems encountered by the Statistical Researchers under him/her supervision and reporting to Central Office the significant findings that may contribute to the analysis of the survey results.
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:
- Operator/Manager
- Bookkeeper/Accountant
- Authorized Representative of the Enterprise/Farm
Data processing
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 CLPS questionnaire in terms of its acceptability and validity. This activity aimed to improve the quality of data collected by the Statistical Researchers (SRs). This also involved the checking of data items based on criteria like completeness of data, consistency with other data items and data ranges.
Data appraisal
Not computed
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 | URL | |
|---|---|---|---|
| National Statistician | Philippine Statistics Authority | www.psa.gov.ph | info@psa.gov.ph |
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes | 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. |
The use of this dataset must be acknowledged using a citation which would include:
- the identification of the Primary Investigator (including country name)
- the full title of the survey and its acronym (when available), and the year(s) of implementation
- the survey reference number
- the source and date of download (for datasets disseminated online)
Example:
Philippine Statistics Authority. Philippine Commercial Livestock and Poultry Survey, Swine (CLPS-S) 2016, Ref. PHL_2016_CLPS-S_v01_M. Dataset downloaded from [URL] on [date].
Disclaimer and copyrights
The data users/researchers acknowledge that the PSA bears 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.
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Chief, Livestock and Poultry Statistics Division | Philippine Statistics Authority | lpsd.staff@psa.gov.ph | |
| Chief, Knowledge Management and Communications Division | Philippine Statistics Authority | info@psa.gov.ph | www.psa.gov.ph |