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<docDscr>
  <citation>
    <titlStmt>
      <IDNo>TZA-NBS-SIGI-2021-v01.</IDNo>
    </titlStmt>
    <prodStmt>
      <producer abbr=" NBS" affiliation="Ministry of Finance" role="Data Producer">National Bureau of Statistics</producer>
      <producer abbr="OCGS" affiliation="Ministry of State, President&#x2019;s Office, State House  and Good Governance" role="Data Producer">The Office of  the Chief Government Statistician</producer>
      <prodDate date="2024-04-01">2024-04-01</prodDate>
      <software version="v5">NADA</software>
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      <version>Version 1.0</version>
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<stdyDscr>
  <citation>
    <titlStmt>
      <titl>Social Institutions and Gender Index</titl>
      <subTitl>SIGI Tanzania Survey 2021</subTitl>
      <altTitl>SIGI 2021</altTitl>
      <parTitl/>
      <IDNo>TZA-NBS-SIGI-2021-v01</IDNo>
    </titlStmt>
    <rspStmt>
      <AuthEnty affiliation="Minisrty of Finance">National Bureau of Statistics</AuthEnty>
      <AuthEnty affiliation="Ministry of State, President&#x2019;s Office, State House  and Good Governance">Office of the Chief Government Statistician Zanzibar</AuthEnty>
      <othId role="Goverment/Public services" affiliation="" email="">
        <p>Ministry of Finance and Planning</p>
      </othId>
      <othId role="Goverment/Public services" affiliation="United Republic of Tanzania" email="">
        <p>The President’s  Office, Regional Administration and Local Government</p>
      </othId>
      <othId role="Goverment/Public services" affiliation="United Republic of Tanzania" email="">
        <p>Prime Minister's Office Policy,Parliamentary Affairs, Labour, Employment, Youth and the Disabled</p>
      </othId>
      <othId role="" affiliation="" email="">
        <p>Research on Poverty Alleviation</p>
      </othId>
      <othId role="Goverment/Public services" affiliation="United Republic of Tanzania" email="">
        <p>Ministry for Education, Science and Technology</p>
      </othId>
      <othId role="Goverment/Public services" affiliation="United Republic of Tanzania" email="">
        <p>Eastern Africa Statistical Training Centre  Eastern Africa Statistical Training Centre  Eastern Africa Statistical Training Centre  Eastern Africa Statistical Training Centre</p>
      </othId>
      <othId role="Goverment/Public services" affiliation="United Republic of Tanzania" email="">
        <p>Ministry of Community Development, Gender, Women, and Special Groups, Ministry of Health,</p>
      </othId>
      <othId role="Goverment/Public services" affiliation="The Revolutionary Government of Zanzibar" email="">
        <p>Social Welfare, Gender and Children, Zanzibar,</p>
      </othId>
      <othId role="Goverment/Public services" affiliation="United Republic of Tanzania" email="">
        <p>Ministry for Lands, Housing, and Human Settlements  Development</p>
      </othId>
      <othId role="Goverment/Public services" affiliation="United Republic of Tanzania" email="">
        <p>Ministry for Constitutional and Legal Affairs</p>
      </othId>
      <othId role="Goverment/Public services" affiliation="United Republic of Tanzania" email="">
        <p>Ministry for Agriculture, Livestock and  Fisheries</p>
      </othId>
    </rspStmt>
    <prodStmt>
      <copyright>(c) 2021, National Bureau of Statistics</copyright>
      <software version="5.0" date="2024-05-30">NADA</software>
      <fundAg abbr="URT" role="Public Service">The Goverment of Tanzania</fundAg>
      <fundAg abbr="" role="Donor Support">Embassy of
 Ireland, Tanzania</fundAg>
      <fundAg abbr="" role="Donor Support">Women Count program of UN Women.</fundAg>
      <grantNo/>
    </prodStmt>
    <distStmt>
      <contact affiliation="National Bureau of Statistics" URI="www.nbs.go.tz" email="sg@nbs.go.tz">Statistician General</contact>
      <contact affiliation="The Office of the Chief Government Statistician" URI="www.nbs.go.tz" email="zanstat@ocgs.go.tz">Chief Government Statistician</contact>
      <depDate date=""/>
      <distDate date=""/>
    </distStmt>
    <serStmt>
      <serName>Other Household Survey [hh/oth]</serName>
      <serInfo/>
    </serStmt>
    <verStmt>
      <version date="2021-12">v0.1</version>
      <verResp/>
      <notes/>
    </verStmt>
    <biblCit format=""/>
    <notes/>
  </citation>
  <stdyInfo>
    <studyBudget/>
    <subject>
      <topcClas vocab="DSIs" vocabURI="https://www.nbs.go.tz/index.php/en/census-surveys/gender-statistics/830-the-2021-social-institutions-and-gender-index-sigi-tanzania-survey-report">Discriminatory social institutions</topcClas>
    </subject>
    <abstract>The SIGI Tanzania country study aims to provide data that will improve the rights and well-being of women and girls in Tanzania and advance gender equality through the elimination of discrimination in social institutions. The survey focused on the four key dimensions, spanning the primary socio-economic areas that affect the entire lifetime of women and girls: discrimination in the family, restricted physical integrity¸ restricted access to productive and financial resources and restricted civil liberties

The Tanzania SIGI survey was also designed to meet the need for information to report at the national level for assessment of MKUZA, five-year Development Plan III (FYDP III), Sustainable Development Goals (SDGs), especially Goal 5 (Achieve gender equality and empower all women and girls).

It also aimed to provide information on goal 16 which is to “Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels” specifically for monitoring:
1. Targets 16.1 which is to “Significantly reduce all forms of violence and related death rates everywhere”;
2. Target 16.3 which is to “Promote the rule of law at the national and international levels and ensure equal access to justice for all”;
3. Target 16.6 which aspires to “Develop effective, accountable and transparent institutions at all levels”;
4. Target 16.7 which looks forward to “Ensure responsive, inclusive, participatory and representative decision-making at all levels”;
5. Target 16.10 advocating to “Ensure public access to information and protect fundamental freedoms, in accordance with national legislation and international agreements”;
6. Target 16.b striving to “Promote and enforce non-discriminatory laws and policies for sustainable development”.

The Tanzania SIGI survey has three specific objectives: 
• To generate evidence and understand the nature and extent of discriminatory social institutions at both national and sub-national levels across the 31 regions of Tanzania.
• To support the efforts of the Government of Tanzania to address policy challenges related to 
gender inequality.
• To share learning on conceptual, methodological and technical issues related to measuring discriminatory social institutions (DSIs) at national level through the production of a background 
paper and survey reports, the collaboration of experts, and the organisation of national stakeholder workshops.</abstract>
    <sumDscr>
      <collDate date="2020-12-10" event="start" cycle=""/>
      <collDate date="2021-01-11" event="end" cycle=""/>
      <nation abbr="TZA">Tanzania</nation>
      <geogCover>Representative data available from National level, urban and rural areas and Regions</geogCover>
      <geogUnit/>
      <anlyUnit>The SIGI survey analysis describes an individuals and households level.</anlyUnit>
      <universe>The Tanzania SIGI survey included a household questionnaire completed by the head of household or his/her partner/spouse, an individual questionnaire filled by a female member of the household as well as a questionnaire completed by a male household member aged 15 and above. One woman and one man aged 15 years or above who were available on the day of the visit were eligible for the interview

In addition, any household member aged 18 years or above who is most knowledgeable was eligible for the household interviews. Interviews were only conducted with pre-selected households and no replacement was allowed for nonresponding households to prevent bia</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 survey collected information on socio-economic and demographic characteristics, as well as social norms, attitudes, and practices.  The SIGI highlights the key role of social norms 
and institutions in determining outcomes for women and girls in areas as diverse as education, ownership of asset, economic activity, labour markets and political representation.</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">The National Bureau of Statistics</dataCollector>
      <dataCollector abbr="OCGS" affiliation="Ministry of State, President&#x2019;s Office, State House  and Good Governance">Office of the Chief Government Statistician</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 sample for the Tanzania SIGI survey was a stratified sample selected in three stages and it utilized some of the enumeration areas of the 2017/18 Household Budget Survey (2017/18 HBS) which used the list of enumeration areas from the 2012 Population and Housing Census (2012 PHC) frame. 

In total, 61 sampling strata were formed and stratification was achieved by disaggregating each region into urban and rural areas. The urban and rural areas in each of the regions formed the sampling stratums. The EAs were selected independently in each sampling stratum based on probability proportional to size (PPS). Implicit stratification and proportional allocation was achieved at each of the lower administrative units by sorting the sampling frame within the explicit stratum according to administrative unit in different levels before sampling unit selection. 
In the first stage, 217 EAs were selected with probability proportional to the EA size and with independent selection in each sampling stratum with the sample allocation.

Among the selected 217 EAs, (71 EAs were from urban and 146 EAs from rural areas). The selection of EAs was based on the number of EAs in urban and rural areas. With a fixed number of 20 households selected per cluster, the total number of households selected for the quantitative survey of the SIGI Tanzania was 4,340 with 1,420 households in urban and 2,920 households in rural areas) 

During the second stage of sampling a fixed number of 20 households (including 12 households which were interviewed in the 2018 HBS and eight (8) new households randomly selected from each selected EA. For selected households, household heads were interviewed. In addition, any household member aged 18 years or above who is most knowledgeable was eligible for the household interviews. Interviews were only conducted with pre-selected households and no replacement was allowed for nonresponding households to prevent bias. Interviewers were asked to make at most three call-backs for nonresponse to reduce nonresponse. 

In the third stage, two individuals aged 15 years or above were selected for individual interviews. Selection was done by using a Kish grid. One woman and one man aged 15 years or above who were available on the day of the visit were eligible for the interview




















Selection process (e.g., probability proportional to size or over sampling)
- Stratification (implicit and explicit)
- Stages of sample selection
- Design omissions in the sample
- Level of representation
- Strategy for absent respondents/not found/refusals (replacement or not) 
- Sample frame used, and listing exercise conducted to update it</sampProc>
      <sampleFrame>
        <sampleFrameName/>
        <custodian/>
        <universe/>
        <frameUnit isPrimary="">
          <unitType numberOfUnits=""/>
        </frameUnit>
        <updateProcedure/>
      </sampleFrame>
      <deviat/>
      <collMode>Computer Assisted Personal Interview [capi]</collMode>
      <resInstru>The Tanzania SIGI survey included a household questionnaire completed by the head of household or his/her partner/spouse, an individual questionnaire filled by a female member of the household as well as a questionnaire completed by a male household member aged 15 and above. Household members who were interviewed for the individual questionnaire were randomly selected using the Kish grid that is embedded in the tablets used for data collection.

The survey collected information on socio-economic and demographic characteristics, as well as social norms, attitudes, and practices. The sample was selected in such a way that it is representative at bothnational and regional level. The survey was conducted in both rural and urban areas in 31 regions of Tanzania.</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>Data were collected using Computer Assisted Personal Interview (CAPI) equipped with CSPro software. After completion of the interview, interviewers were able to use internet to upload collected information to the server after being verified by fieldwork supervisors. Before data collection started, supervisors and interviewers were trained from 1st to 6th December 2020 
by Trainers from NBS and OCGS to ensure that they are equipped with the necessary knowledge to collect quality data. The training took place in Babati, Manyara Region.

The 48 enumerators were involved in the fieldwork - 39 of whom were from Tanzania Mainland and nine from Zanzibar. A total of 16 fieldwork supervisors of which 13 were from Tanzania Mainland and three from Zanzibar were responsible for the day-to-day management of the data collection and quality assurance. There were 16 mobile fieldwork teams that comprised of three enumerators and one supervisor each.</collSitu>
      <actMin>The 48 enumerators were involved in the fieldwork - 39 of whom were from Tanzania Mainland and nine from Zanzibar. A total of 16 fieldwork supervisors of which 13 were from Tanzania Mainland and three from Zanzibar were responsible for the day-to-day management of the data collection and quality assurance. There were 16 mobile fieldwork teams that comprised of three enumerators and one supervisor each. 

Each team conducted interviews in two regions. Supervisors were responsible to oversee the whole exercise and report to the SIGI coordinator who in turn reported to the project manager. The 31 regions covered by this survey were Arusha, Dodoma, Dar es Salaam, Kilimanjaro, Tanga, Morogoro, Pwani, Lindi, Mtwara, Ruvuma, Iringa, Mbeya, Singida, Tabora, Rukwa, Kigoma, Shinyanga, Kagera, Mwanza, Mara, Manyara, Njombe, Katavi, Simiyu, Geita, and Songwe from Tanzania Mainland; and Kaskazini Unguja, Kusini Unguja, Mjini Magharibi, Kaskazini Pemba and Kusini Pemba from Zanzibar.</actMin>
      <ConOps/>
      <weight/>
      <cleanOps>Data for the Tanzania SIGI survey were collected by using Computer Assisted Personal Interview (CAPI) using the CSPro software package. Completed questionnaires were sent via Bluetooth to 
supervisors who were responsible for quality assuring and editing the data. The data was then sent to the server before leaving the field.

Data checks were done daily, using STATA. Any errors found were sent back to supervisors to take immediate action to resolve them. To ensure consistency, comparisons were made between data sent by enumerators and supervisors. Data cleaning was completed on 19th July 2021, followed by data processing and analysis from 19th July to 22th July 2021. The analysts used both SPSS and STATA to produce the statistical tables</cleanOps>
    </dataColl>
    <notes/>
    <anlyInfo>
      <respRate>The distribution of household interviews and interviewed women and men of age 15 and above; with respect to background characteristics such as for example residence and location. A 
total of 4,340 households were selected for the sample from both Tanzania Mainland and Zanzibar. Of these, 4,339 households were successfully interviewed at the time of the survey yielding a response rate of 100 per cent. 

In the interviewed households, 4,340 women were selected as eligible for the individual interview and of these, 3,875 were found during the time of the survey. A total of 3,848 eligible women were successfully interviewed, yielding a response rate of 99.3 per cent. In addition, 4,340 eligible men were selected, among whom 3,251 men were found during the time of the survey. A total of 3,220 were successfully interviewed yielding a response rate of 99.0 per cent.</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="">Confidentiality of respondents is guaranteed by The Statistics Act, [Cap 351 R.E 2019] Before being granted access to the dataset, all users have formally agreed:

1. All identifying information such as the name and address of respondent has been removed; 

2. The information is disclosed in a manner that is not likely to enable the identification of the particular person or undertaking or business to which it relates.

3. Not attempt to identify any particular person or undertaking or business;

4. Use of information for research or statistically purpose only;

5. Not to disclose the information to any other person, organization

6. When required by the Director General, return all documents made available to him to the Director General;

7. Comply with the directions given by the Director General relating to the records.

8. Every person involved in the research or statistical project for which information is disclosed pursuant to this section shall make the declaration of secrecy set out in the first schedule.</confDec>
      <restrctn/>
      <contact affiliation=" Ministry of Finance and Planning" URI="www.nbs.go.tz" email="sg@nbs.go.tz">National Bureau of Statistics</contact>
      <contact affiliation="Ministry of State, President&#x2019;s Office, State House  and Good Governance" URI="www.ocgs.go.tz" email="zanstat@ocgs.go.tz">Office of the Chief Government Statistician</contact>
      <citReq>National Bureau of Statistics (NBS) [Tanzania]. Social Institution and Gender Index 2021. 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/>
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<dataDscr>
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