<?xml version="1.0" encoding="UTF-8"?>
<codeBook version="1.2.2" ID="THA_2012_LFS-Q4_v01_M" 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_THA_2012_LFS-Q4_v01_M_WB</IDNo>
    </titlStmt>
    <prodStmt>
      <producer abbr="DECDG" affiliation="The World Bank" role="Metadata preparation">Development Data Group</producer>
      <prodDate date="2014-04-28">2014-04-28</prodDate>
      <software version="v5">NADA</software>
    </prodStmt>
    <verStmt>
      <version>Version 01 (April 2014)</version>
    </verStmt>
  </citation>
</docDscr>
<stdyDscr>
  <citation>
    <titlStmt>
      <titl>Labor Force Survey 2012</titl>
      <subTitl>Fourth Quarter</subTitl>
      <altTitl>LFS-Q4 2012</altTitl>
      <parTitl/>
      <IDNo>THA_2012_LFS-Q4_v01_M</IDNo>
    </titlStmt>
    <rspStmt>
      <AuthEnty affiliation="Ministry of Information and Communication Technology of Thailand">National Statistical Office</AuthEnty>
    </rspStmt>
    <prodStmt>
      <copyright/>
      <software version="5.0" date="2021-04-04">NADA</software>
      <fundAg abbr="GovTHA" role="Funding the study">Government of Thailand</fundAg>
      <grantNo/>
    </prodStmt>
    <distStmt>
      <contact affiliation="Ministry of Information and Communication Technology of Thailand" URI="http://web.nso.go.th/" email="onsoadm@nso.go.th">National Statistical Office</contact>
      <depDate date=""/>
      <distDate date=""/>
    </distStmt>
    <serStmt>
      <serName>Labor Force Survey [hh/lfs]</serName>
      <serInfo>Labor force statistics have been compiled by the National Statistical Office since 1963 when the survey was initiated. The year 1984-1997 three rounds of the survey for the whole kingdom had been conducted each year; the first round enumeration is held in February coinciding with the non-agricultural season, the second round is normally held in May in with new labor force come from students who just finish their schooling and the third round is held in August, during the agricultural season. Commencing from the year 1998, another round of the survey in November has been conducted.

Due to the increasing demand of data for formulating plans and policy at provincial level, the National Statistical Office has expanded sample size to propose statistical data at provincial level commencing from survey in February and August, 1994. For the fourth round in November 1998, data was presented at the first time and presentation data at provincial level.

After the economic crisis in the mid of 1997, the need of labor force data for planning and policy making were more in demand. In the year of 2001, the survey was conducted monthly. The survey data of three months were combined to present the quarterly. Data of February, May and August were presented in order to compare with the previous labor force survey and since September 2001, data were presented monthly. Beginning from the survey in January 2001, 5 items has been revised; age of persons in labor force was adopted from 13 years of age and over to 15 years of age and over in order to agree with the child labor law. The standard classification of occupation, industry and employment status were adopted, and area of local administration which the former sanitary which were included in non-municipal area were presently included in municipal area.</serInfo>
    </serStmt>
    <verStmt>
      <version date=""/>
      <verResp/>
      <notes/>
    </verStmt>
    <biblCit format=""/>
    <notes/>
  </citation>
  <stdyInfo>
    <studyBudget/>
    <subject>
                  
                  
    </subject>
    <abstract>The main objective of this survey is to estimate the number and characteristics of the labor force in the country and in different regions periodically. The statistical data derived from this quarter of the survey include:
1. the number of persons in and out of the working age (15 years and over) by sex
2. the number of working age population by labor force status, age, sex, marital status, educational attainment
3. the number of employed persons by interesting characteristics such as age, sex, educational attainment, occupation, industry, work status, hours work,
4. the number of unemployed persons by interesting characteristics e.g. duration of searching for job, type of previous work.</abstract>
    <sumDscr>
      <collDate date="2012-10-01" event="start" cycle="October"/>
      <collDate date="2012-10-12" event="end" cycle="October"/>
      <collDate date="2012-11-01" event="start" cycle="November"/>
      <collDate date="2012-11-12" event="end" cycle="November"/>
      <collDate date="2012-12-01" event="start" cycle="December"/>
      <collDate date="2012-12-12" event="end" cycle="December"/>
      <nation abbr="THA">Thailand</nation>
      <geogCover>National</geogCover>
      <geogUnit/>
      <anlyUnit>- Household
- Individual</anlyUnit>
      <universe>Whole population excluding the following groups: Armed forces and persons living in institutions.</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>Topics covered by the Labour Force Survey:
- Geographic area identification, date of interview, date of editing and coding, and survey enumeration information
- Demographic characteristics: age, sex, marital status, educational attainment, relationship to household head
- Main labour related characteristics: employment, unemployment, underemployment, hours of work, wages (wage, supplementary benefits, and non cash benefits), employment related benefits, informal employment, usual activity, absence from work
- Other labour related characteristics: industry, occupation, status in employment, institutional sector (public/private), size of establishment, duration of employment, existence of more than one job, duration of unemployment, characteristics of the last job, search for another job, methods of looking for work, reasons for not being in the labour force</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/>
      <dataCollector abbr="NSO" affiliation="Ministry of Information and Communication Technology of Thailand">National Statistical Office</dataCollector>
      <!-- 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>Sample design
A Stratified Two - Stage Sampling was adopted for the survey. Provinces were constituted strata. The primary and secondary sampling units were enumeration areas (EAs) for municipal areas and non - municipal areas and private households / persons in the collective households respectively.

Stratification
Provinces were constituted strata. There were altogether 76 strata. Each stratum was divided into two parts according to the type of local administration, namely municipal areas and non - municipal areas.

Selection of primary sampling unit
The sample selection of enumeration areas were performed separately and independently in each part by using probability proportional to size - total number of households. The total sample enumeration areas was 5,970 from 127,460 EAs.

Selection of secondary sampling unit
Private households were our ultimate sampling units. A new listing of private households were made for every sample enumeration areas to serve as the sampling frame. In each sample EAs, a systematic sample of private households were selected with the following sample size:
Municipal areas : 16 sample households per EAs
Non - municipal areas : 12 sample households per EAs

Before selecting sample private households in each sample EAs, the list of private households was rearranged by household ' s size - member of the household and type of economic household.

All collective households located within the sample areas were included in the sample and the persons in the collective household were systematically selected for the interviewing.

The total number of sample private households selected for enumeration by region and type of local administration was as follows:

Region / Stratum
Bangkok Metropolis, total number of households  -&gt; 4800, households in municipal area -&gt; 4800
Central (excluding Bankok Metropolis), total number of households  -&gt; 26424, households in municipal area -&gt; 14400, households in non-municipal area -&gt; 12024
North, total number of households  -&gt; 17856, households in municipal area -&gt; 10080, households in non-municipal area -&gt; 7776
Northeast, total number of households  -&gt; 20640, households in municipal area -&gt; 11712, households in non-municipal area -&gt; 8928
South, total number of households  -&gt; 14160, households in municipal area -&gt; 7968, households in non-municipal area -&gt; 6192</sampProc>
      <sampleFrame>
        <sampleFrameName/>
        <custodian/>
        <universe/>
        <frameUnit isPrimary="">
          <unitType numberOfUnits=""/>
        </frameUnit>
        <updateProcedure/>
      </sampleFrame>
      <deviat/>
      <collMode>Face-to-face [f2f]</collMode>
      <resInstru>Thailand Labour Force Survey questionnaire consists of five parts:
Part 1: Characteristic of Household Member
Part 2: Education (Ask persons 15 years and over)
Part 3: Employment, ask persons 15 years and over
Part 4: Wanting more work during the last 7 days before interview's date
Part 5: Wage or salary (wage, supplementary benefits, and non cash benefits)</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/>
      <cleanOps/>
    </dataColl>
    <notes/>
    <anlyInfo>
      <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>
      <restrctn/>
      <citReq>Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download

Example:

Thailand National Statistical Office. Labour Force Survey 2012, Fourth Quarter. Ref. THA_2012_LFS-Q4_v01_M. Dataset downloaded from [source] on [date].</citReq>
      <deposReq/>
      <conditions/>
      <disclaimer>The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.</disclaimer>
    </useStmt>
    <notes/>
  </dataAccs>
  <notes/>
</stdyDscr>
<dataDscr>
</dataDscr></codeBook>
