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Region Shapefile Metadata 2022 Census

Tanzania, 2020 - 2022
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Reference ID
TZA-NBS-PHC-2020-ShapeFilesv01
Producer(s)
Tanzania National Bureau of Statistics (NBS)
Metadata
DDI/XML JSON
Created on
Jul 30, 2024
Last modified
Sep 19, 2024
Page views
39926
Downloads
139380
  • Study Description
  • Downloads
  • Get Microdata
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Data collection
  • Data processing
  • Data appraisal
  • Access policy
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number
    TZA-NBS-PHC-2020-ShapeFilesv01
    Title
    Region Shapefile Metadata 2022 Census
    Country
    Name Country code
    United Republic of Tanzania TZA
    Study type
    Admistrative boundaries, Census
    Abstract
    Summary
    This dataset provides detailed information about the enumeration areas used for the 2022 Population and Housing Census (PHC) in Tanzania. The data was collected from 2020 to May 2022 and is available in ESRI Shapefile format, including geographic boundaries and key attributes of each ward area. The dataset aims to support census planning, management, and analysis by offering crucial insights into population distribution and characteristics.
    Purpose
    The primary purpose of this dataset is to serve as a geographical reference for the ward areas used in the 2022 PHC. It aims to aid various census activities, including demographic analysis, ward area allocation, and strategic planning. The dataset is intended to improve the accuracy and efficiency of census operations by providing precise and up-to-date geographic information.
    Data Structure
    The dataset is provided in the ESRI Shapefile format, a popular vector data format for Geographic Information System (GIS) applications.
    Geographic Coverage
    The dataset covers the entire geographic area of Tanzania. The boundaries of the ward areas are drawn according to administrative regions and internal geographical features.
    Kind of Data
    Administrative records data [adm]
    Unit of Analysis
    administrative boundaries

    Version

    Version Description
    - v0.1
    Version Date
    2022-05-30
    Version Notes
    This version produced after merging EAs shapefile into hamlet then into villages and final into wards

    Scope

    Notes
    • BOUNDARIES; Regional Boundaries, District Boundaries,Council Boundaries,Constitutional Boundaries,Divisional Boundaries, Ward Boundaries

    STATISTIC CODE; Regional Codes, District Codes, Council Codes,Constitunal Codes,Divisional Codes,Ward Codes

    Coverage

    Geographic Coverage
    National Coverage
    Universe
    Entire population of the country

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Tanzania National Bureau of Statistics (NBS) MoF
    Producers
    Name Affiliation Role
    ESRI EASTERN AFRICA LIMITED ESRI Technical assistance in programme design
    Technical assistance in selection of methodology
    Technical assistance in selection of methodology
    President's Office, Regional Administration and Local Government Tanzania PO-RALG Technical assistance in boundaries identification
    Technical assistance data processing
    Funding Agency/Sponsor
    Name Abbreviation Role
    Government of Tanzania URT Financial support
    WB World bank Financial support
    UNFPA United Nations Population Fund Financial support

    Data collection

    Dates of Data Collection
    Start End
    2020-01-14 2022-05-30
    Data Collection Mode
    • Collector of ArcGIS
    Data Collectors
    Name Affiliation
    National Bureau of Statistics Ministry of Finance
    Supervision
    For one to three teams together there is one supervisor and a drive

    The role of the supervisor was to coordinator field data collection activities, including management of the field teams, supplies and equipment, coordinate with local authorities concerning the survey plan and make arrangements for any boundaries conflict (communicate with responsible ministry). Additionally, the field supervisor assigned the work to the interviewers, spot checked work, make sure all data are sent to central server daily or when there is stable internet. Communicate with central sever officers to make clarification about any doubt in his/her team
    Data Collection Notes
    Each field team comprised of 2 field mappers and a driver. For one to three teams together there is one supervisor and a driver. A total of 306 mappers, 165 supervisors and 6 GIS experts and IT (station in the server) were used to collect and editing data. Data collection took place from January 14, 2020 until May 30, 2022. Interviewing took place everyday throughout the fieldwork period, although interviewing teams were permitted to take one day off for editing and correction before sending data to server.

    Data processing

    Data Editing
    The data editing, since the programme for data collectioon connect direct to server, so data editing was done in field with team after checking by office team if there is overlapping or shifting of boundary, or naming of the place or coding.

    Data appraisal

    Estimates of Sampling Error
    The spatial accuracy of the dataset is estimated to be within 3 meters, ensuring precise location information for each ward boundary.
    Data Appraisal
    Census, PHC 2022, Geographic, Shapefile, Mapping, Tanzania, Demographic Analysis

    Access policy

    Confidentiality
    Is signing of a confidentiality declaration required?
    yes
    Access conditions
    Any stakeholder has access to the data through public or request from the authority.

    The shapefile up to level three have been shared here for public. The lower-level shapefiles are available by formal request to NBS through the following contact;

    National Bureau of Statistics Tanzania
    P.O. Box 2683,
    64 Lusinde Road,
    41104 Tambukareli, DODOMA.
    Email: sg@nbs.go.tz
    Phone: +255 26 2963822
    Fax: +255 26 2963828
    Citation requirements
    National Bureau of Statistics

    https://www.nbs.go.tz/statistics/geographic-information-system-gis
    Access authority
    Name Affiliation URL Email
    Mr. Benedict Mugambi National Bureau of Statistics benedict.mugambi@nbs.go.tz

    Disclaimer and copyrights

    Copyright
    2022 PHC, National Bureau of Statistics

    Contacts

    Contacts
    Name Affiliation Email URL
    Mr. Benedict Mugambi National Bureau of Statistics benedict.mugambi@nbs.go.tz

    Metadata production

    DDI Document ID
    DDI-TZA-NBS-PHC-2022-v01.
    Producers
    Name Affiliation Role
    National Bureau of Statistics Ministry of Finance Producer of Data
    Date of Metadata Production
    2022-05-30

    Metadata version

    DDI Document version
    version 1.0
    Back to Catalog
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