Commercial Livestock and Poultry Survey 2010-2016
Philippines, 2016
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Reference ID
PHL_2010-2016_CLPS_v01_EN_M_v01_A_OCS
Producer(s)
Philippine Statistics Authority
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Metadata
Created on
Apr 30, 2020
Last modified
Jan 31, 2023
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Identification
Survey ID Number
PHL_2010-2016_CLPS_v01_EN_M_v01_A_OCS
Title
Commercial Livestock and Poultry Survey 2010-2016
Country
| Name | Country code |
|---|---|
| Philippines | PHL |
Study type
Agricultural Survey [ag/oth]
Series Information
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, the Bureau of Agricultural Statistics (BAS) under its frame management system, undertook an updating activity for commercial farm for swine.
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. In 2009, improved CLPS questionnaires for swine was developed.
Any updating in the CLPS sampling frame is reflected in the Frame Maintenance Form (FMF) which is submitted on a quarterly basis.
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. In 2009, improved CLPS questionnaires for swine was developed.
Any updating in the CLPS sampling frame is reflected in the Frame Maintenance Form (FMF) which is submitted on a quarterly basis.
Abstract
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 breeding and trading decisions of livestock and poultry breeders 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 breeding and trading decisions of livestock and poultry breeders in the country.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Agricultural holdings
Scope
Notes
The scope of the survey includes the basic characteristics and operations on commercial farms. It reflects the data on the inventory, number of births, number of deaths and number of slaughtered livestock and poultry commodities.
Topics
| Topic | Vocabulary |
|---|---|
| Agriculture, forestry, fisheries | Philippine Statistics Authority |
| Business and agricultural surveys | Philippine Statistics Authority |
Keywords
| Keyword |
|---|
| Commercial |
| Livestock and Poultry |
| Farming Household |
| Non-farming household |
Coverage
Geographic Coverage
National Coverage
Universe
All Swine Farms that are considered as commercial farms. Commerical farm refers to a farm or household operated by a farmer/household/operator that raises at least one of the following:
· at least 21 heads of adult and zero head of young animals
· at least 41 heads of young animals and above
· at least 10 heads of adult and 22 heads of young and above
· at least 21 heads of adult and zero head of young animals
· at least 41 heads of young animals and above
· at least 10 heads of adult and 22 heads of young and above
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Philippine Statistics Authority | National Economic and Development Authority |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Philippine Statistics Authority | PSA | Full funding |
Sampling
Sampling Procedure
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.
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.
Response Rate
For CLPS January Round 2016, the response rates is above 90 percent.
Weighting
For the completely enumerated provinces, the total is obtained simply by summing up all the observations in each 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 straatum estimates 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 straatum estimates in the province.
Data Collection
Dates of 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 |
Data Collection Mode
Face-to-face paper [f2f]
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 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.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Chief, Livestock and Poultry Statistics Division | Philippine Statistics Authority | [email protected] | www.psa.gov.ph |
| Chief, Knowledge Management and Communications Division | Philippine Statistics Authority | [email protected] | www.psa.gov.ph |
Confidentiality
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.
Access conditions
See http://psada.psa.gov.ph/index.php/access-conditions
Metadata production
DDI Document ID
DDI_PHL_2010-2016_CLPS_v01_EN_M_v01_A_OCS_FAO
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Office of Chief Statistician | OCS | Food and Agriculture Organization | Metadata adapted for FAM |
| Livestock and Poultry Statistics Division | LPSD | Philippine Statistics Authority | Documentation of the study |
DDI Document version
PHL_2010-2016_CLPS_v01_EN_M_v01_A_OCS_v01