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<codeBook version="1.2.2" ID="PHL_2010-2016_CLPS_v01_EN_M_v01_A_OCS" xml-lang="en" xmlns="http://www.icpsr.umich.edu/DDI" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.icpsr.umich.edu/DDI http://www.icpsr.umich.edu/DDI/Version1-2-2.xsd">
<docDscr>
  <citation>
    <titlStmt>
      <IDNo>DDI_PHL_2010-2016_CLPS_v01_EN_M_v01_A_OCS_FAO</IDNo>
    </titlStmt>
    <prodStmt>
      <producer abbr="OCS" affiliation="Food and Agriculture Organization" role="Metadata adapted for FAM">Office of Chief Statistician</producer>
      <producer abbr="LPSD" affiliation="Philippine Statistics Authority" role="Documentation of the study">Livestock and Poultry Statistics Division</producer>
      <prodDate date="">
        <_value></_value>
      </prodDate>
      <software version="v5">NADA</software>
    </prodStmt>
    <verStmt>
      <version>PHL_2010-2016_CLPS_v01_EN_M_v01_A_OCS_v01</version>
    </verStmt>
  </citation>
</docDscr>
<stdyDscr>
  <citation>
    <titlStmt>
      <titl>Commercial Livestock and Poultry Survey 2010-2016</titl>
      <subTitl/>
      <altTitl>CLPS 2010-2016</altTitl>
      <parTitl/>
      <IDNo>PHL_2010-2016_CLPS_v01_EN_M_v01_A_OCS</IDNo>
    </titlStmt>
    <rspStmt>
      <AuthEnty affiliation="National Economic and Development Authority">Philippine Statistics Authority</AuthEnty>
    </rspStmt>
    <prodStmt>
      <copyright/>
      <software version="5.0" date="2023-02-17">NADA</software>
      <fundAg abbr="PSA" role="Full funding">Philippine Statistics Authority</fundAg>
      <grantNo>General Appropriations Act</grantNo>
    </prodStmt>
    <distStmt>
      <contact affiliation="Philippine Statistics Authority " URI="www.psa.gov.ph" email="lpsd.staff@psa.gov.ph">Chief, Livestock and Poultry Statistics Division</contact>
      <contact affiliation="Philippine Statistics Authority " URI="www.psa.gov.ph" email="info@psa.gov.ph">Chief, Knowledge Management and Communications Division</contact>
      <depDate date=""/>
      <distDate date=""/>
    </distStmt>
    <serStmt>
      <serName>Agricultural Survey [ag/oth]</serName>
      <serInfo>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.</serInfo>
    </serStmt>
    <verStmt>
      <version date=""/>
      <verResp/>
      <notes/>
    </verStmt>
    <biblCit format=""/>
    <notes/>
  </citation>
  <stdyInfo>
    <studyBudget/>
    <subject>
      <keyword vocab="" vocabURI="">Commercial</keyword>
      <keyword vocab="" vocabURI="">Livestock and Poultry</keyword>
      <keyword vocab="" vocabURI="">Farming Household</keyword>
      <keyword vocab="" vocabURI="">Non-farming household</keyword>
      <topcClas vocab="Philippine Statistics Authority" vocabURI="">Agriculture, forestry, fisheries</topcClas>
      <topcClas vocab="Philippine Statistics Authority" vocabURI="">Business and agricultural surveys</topcClas>
    </subject>
    <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.</abstract>
    <sumDscr>
      <collDate date="2016-03-24" event="start" cycle="April Round"/>
      <collDate date="2016-03-31" event="end" cycle="April Round"/>
      <collDate date="2016-06-23" event="start" cycle="July Round"/>
      <collDate date="2016-06-30" event="end" cycle="July Round"/>
      <collDate date="2016-08-23" event="start" cycle="October Round"/>
      <collDate date="2016-08-30" event="end" cycle="October Round"/>
      <collDate date="2016-11-22" event="start" cycle="January Round"/>
      <collDate date="2016-12-01" event="end" cycle="January Round"/>
      <nation abbr="PHL">Philippines</nation>
      <geogCover>National Coverage</geogCover>
      <geogUnit/>
      <anlyUnit>Agricultural holdings</anlyUnit>
      <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</universe>
      <dataKind>Sample survey data [ssd]</dataKind>
    </sumDscr>
    <!-- qualityStatement - ddi2.5 - complex type
     
     This structure consists of two parts, standardsCompliance and otherQualityStatements. 
     In standardsCompliance list all specific standards complied with during the execution of this 
     study. Note the standard name and producer and how the study complied with the standard. 
     Enter any additional quality statements in otherQualityStatements.
     
     -->
    <qualityStatement>
      <standardsCompliance>
        <standard>
          <standardName/>
          <producer/>
        </standard>
        <complianceDescription/>
      </standardsCompliance>
      <otherQualityStatement/>
    </qualityStatement>
    <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.</notes>
    <!-- exPostEvaluation ddi2.5
      Use this section to describe evaluation procedures not address in data evaluation processes. 
      These may include issues such as timing of the study, sequencing issues, cost/budget issues, 
      relevance, instituional or legal arrangments etc. of the study. 
      
      The completionDate attribute holds the date the evaluation was completed. 
      The type attribute is an optional type to identify the type of evaluation with or without 
      the use of a controlled vocabulary.
    -->
    <exPostEvaluation completionDate="" type="">
      <evaluationProcess/>
      <outcomes/>
    </exPostEvaluation>
  </stdyInfo>
  <method>
    <dataColl>
      <timeMeth/>
      <!-- collectorTraining - DDI2.5
        
        Collector Training

        Describes the training provided to data collectors including internviewer training, process testing, 
        compliance with standards etc. This is repeatable for language and to capture different aspects of the 
        training process. The type attribute allows specification of the type of training being described.
        
        -->
      <collectorTraining type=""/>
      <frequenc/>
      <sampProc>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.</sampProc>
      <sampleFrame>
        <sampleFrameName/>
        <custodian/>
        <universe/>
        <frameUnit isPrimary="">
          <unitType numberOfUnits=""/>
        </frameUnit>
        <updateProcedure/>
      </sampleFrame>
      <deviat/>
      <collMode>Face-to-face paper [f2f]</collMode>
      <resInstru/>
      <!-- instrumentDevelopment - DDI2.5             
        Describe any development work on the data collection instrument. Type attribute allows for the optional use of a defined development type with or without use of a controlled vocabulary.
        -->
      <instrumentDevelopment type=""/>
      <collSitu/>
      <actMin/>
      <ConOps/>
      <weight>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.</weight>
      <cleanOps>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.</cleanOps>
    </dataColl>
    <notes/>
    <anlyInfo>
      <respRate>For CLPS January Round 2016, the response rates is above 90  percent.</respRate>
      <EstSmpErr/>
      <dataAppr/>
    </anlyInfo>
    <stdyClas/>
    <dataProcessing type=""/>
    <codingInstructions relatedProcesses="" type="">
      <txt/>
      <command formalLanguage=""/>
    </codingInstructions>
  </method>
  <dataAccs>
    <setAvail>
      <accsPlac URI=""/>
      <origArch/>
      <avlStatus/>
      <collSize/>
      <complete/>
      <fileQnty/>
      <notes/>
    </setAvail>
    <useStmt>
      <confDec required="yes" formNo="" URI="">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.</confDec>
      <restrctn/>
      <citReq/>
      <deposReq/>
      <conditions>See http://psada.psa.gov.ph/index.php/access-conditions</conditions>
      <disclaimer/>
    </useStmt>
    <notes/>
  </dataAccs>
  <notes/>
</stdyDscr>
<dataDscr>
</dataDscr></codeBook>
