<?xml version="1.0" encoding="UTF-8"?>
<codeBook version="1.2.2" ID="TZA-NBS-EES-2017-V01" 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-TZA-NBS-EES-2017-v01</IDNo>
    </titlStmt>
    <prodStmt>
      <producer abbr="NBS" affiliation="Ministry of Finance and Planning" role="Produce Data">National Bureau of Statistics</producer>
      <prodDate date="2019-11">2019-11</prodDate>
      <software version="v5">NADA</software>
    </prodStmt>
    <verStmt>
      <version>version 1.0</version>
    </verStmt>
  </citation>
</docDscr>
<stdyDscr>
  <citation>
    <titlStmt>
      <titl>FORMAL SECTOR EMPLOYMENT AND EARNINGS SURVEY, 2017 TANZANIA MAINLAND</titl>
      <subTitl/>
      <altTitl>EES 2017</altTitl>
      <parTitl/>
      <IDNo>TZA-NBS-EES-2017-V01</IDNo>
    </titlStmt>
    <rspStmt>
      <AuthEnty affiliation="Ministry of Finance and Planning">National Bureau of Statistcs</AuthEnty>
    </rspStmt>
    <prodStmt>
      <copyright>Copyright: (c) 2019,National Bureau of Statistics</copyright>
      <software version="5.0" date="2024-01-30">NADA</software>
      <fundAg abbr="MoFP" role="Financial support">Ministry of Finance and Planning</fundAg>
      <grantNo/>
    </prodStmt>
    <distStmt>
      <contact affiliation="National Bureau of Statistics" URI="www.nbs.go.tz" email="sg@nbs.go.tz">Survey Director</contact>
      <depDate date=""/>
      <distDate date=""/>
    </distStmt>
    <serStmt>
      <serName>Enterprise Survey [en/oth]</serName>
      <serInfo>The history of the Employment and Earnings Surveys (EES) in Tanzania goes back to 1963 when the first post-independence survey was launched and this survey is the twelfth after the 2001 EES</serInfo>
    </serStmt>
    <verStmt>
      <version date="2019-11">V0.1</version>
      <verResp/>
      <notes/>
    </verStmt>
    <biblCit format=""/>
    <notes/>
  </citation>
  <stdyInfo>
    <studyBudget/>
    <subject>
                  
                  
    </subject>
    <abstract>The EESs are conducted by the National Bureau of Statistics (NBS), as mandated by Statistics Act 2015 and its 2018 and 2019 Amendments, which empowers NBS to collect, compile and disseminate official statistics in the country. The summary is presented for the six main topical areas namely: -Employment Profile; Wage Rates Profile; Cash Earnings Profile; Annual Wage Bill Profile; Newly Recruited Workers; and Job Vacancies</abstract>
    <sumDscr>
      <collDate date="2017" event="start" cycle=""/>
      <collDate date="2017" event="end" cycle=""/>
      <nation abbr="TZA">Tanzania</nation>
      <geogCover>Tanzania Mainland Regional level</geogCover>
      <geogUnit/>
      <anlyUnit>Formal establishment</anlyUnit>
      <universe>The survey covers all formal establishment with employees in both public and private sectors. establishment are divided in three main  which are all public sector establishment, all registrated private establishmnent employ at least 50 persons and a sample of registrated of private establishments whose number of employees are from 5-49 persons.</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 EES scope is delimited to formal establishments dealing with any of the economic activities with exception of activities of households as employers and activities of extraterritorial organizations. The survey covers establishments in 26 regions of Tanzania Mainland</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="NBS" affiliation="Ministry of Finance and Panning">National Bureau of Statistics</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>The 2017Employment and Earnings Survey is an establishment- based survey which covered a total 
of 10,896establishments from a frame of 52,429establishments. The frame consisted ofall public 
establishments and formal private establishments employing 5 persons or above

The survey covered all public -sector establishments and private sector establishments with at least 
50 employees. Furthermore, the survey covered a sample of private establishments employing 5 to 
49 persons. The sampling for this group involved stratifying establishments into those with 5 to 9 
employees and those with 10 to 49 employees. Establishments in these strata were further stratified 
on the basis of their economic activities and ultimately a single stage sampling technique was used to 
derive representative establishments from each activity using the probability proportion to size (PPS).</sampProc>
      <sampleFrame>
        <sampleFrameName/>
        <custodian/>
        <universe/>
        <frameUnit isPrimary="">
          <unitType numberOfUnits=""/>
        </frameUnit>
        <updateProcedure/>
      </sampleFrame>
      <deviat/>
      <collMode>Face-to-face [f2f]</collMode>
      <resInstru>Establishment based questionairre was development in english and was translated in swahili language</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>Training of enumerators was conducted</collSitu>
      <actMin>Interveving was conducted by team of suprvisors. The role of supervisor was to cordinate field data collection activity</actMin>
      <ConOps/>
      <weight>Weight = N/n</weight>
      <cleanOps>Data editing took place at a number of stages throughout the processing, including:
a) Office editing and coding
b) During data entry
c) Structural checking of SPSS data files</cleanOps>
    </dataColl>
    <notes/>
    <anlyInfo>
      <respRate>81.4</respRate>
      <EstSmpErr>Estimates from a sample survey are affected by two types of errors: 1) non-sampling errors and 2) sampling errors. Non-sampling errors are the results of mistakes made in the implementation of data collection and data processing.  Numerous efforts were made during implementation of the EES 2017 to minimize this type of error, however, non-sampling errors are impossible to avoid and difficult to evaluate statistically.</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="">Confidentarity of respondents is guaranteed by statistics Act No.9 of 2015 before being granted access to the dataset all users have formally agreed</confDec>
      <restrctn/>
      <contact affiliation="Ministry of Finance and Planning" URI="https://www.nbs.go.tz/index.php/en/census-surveys/labour-statistics/550-formal-sector-employment-and-earnings-survey-2017-tanzania-mainland" email="sg@nbs.go.tz">National Bureau of Statistics</contact>
      <citReq>National Bureau of Statistics (NBS) [Tanzania] 2019. Employment and Earnings Survey Report (EES) - 2017. Dodoma, Tanzania: NBS.</citReq>
      <deposReq/>
      <conditions>Tanzania NBS considered three levels of accessibility: 

1) Public use files, accessible by all
2) Licensed datasets, accessible under certain conditions
3) Datasets only accessible on location, for certain datasets

The dataset has been anonymized and available as a public use dataset. It accessible to all for statistical and research purposes only, under the following terms and conditions:

1. The data and other material will not be redistributed or sold to other individuals, institutions, or organization without the written agreement of the Tanzania National Bureau of Statistics. 

2. The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations.

3. No attempt will be made to produce links among dataset provided by the National Bureau of Statistics, or among data from the (National Bureau of Statistics) and other datasets that could identify individuals or organizations.

4. No attempt will be made to re-identify respondents, and no use will be made of the identify of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the National Bureau of Statistics.

5. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the National Bureau of Statistics will cite the source of data in accordance with the Citation Requirement provided with each dataset.</conditions>
      <disclaimer>"The user of the data should acknowledge that, Tanzania National Bureau of Statistics is 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 without a written agreement from the National Bureau of Statistics".</disclaimer>
    </useStmt>
    <notes/>
  </dataAccs>
  <notes/>
</stdyDscr>
<dataDscr>
</dataDscr></codeBook>
