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    Home / Data Repository / SAPCS / ZAF-STATSSA-CASD-2022-V1
SAPCS

Census Administrative & Service Provision District Profiles 2022

South Africa, 2022
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Reference ID
zaf-statssa-casd-2022-v1
DOI
https://doi.org/10.25828/wafz-wj19
Producer(s)
Statistics South Africa
Collections
South African Population Censuses and Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Apr 02, 2026
Last modified
Aug 12, 2026
Page views
272805
Downloads
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  • Dataset Description
  • Data Description
  • Downloads
  • Get Microdata
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Study authorization
  • Sampling
  • Data collection
  • Data processing
  • Quality standards
  • Data appraisal
  • Access policy
  • Depositor information
  • Distributor information
  • access_policy
  • Contacts
  • Metadata production
  • Citation
  • Identification

    Survey ID number
    zaf-statssa-casd-2022-v1
    Title
    Census Administrative & Service Provision District Profiles 2022
    Abbreviation or Acronym
    CASD 2022
    Country
    Name Country code
    South Africa zaf
    Other identifiers
    Type Identifier
    doi https://doi.org/10.25828/wafz-wj19
    Abstract
    CASD 2022 is the Census 2022 Special District Layer data product released by Statistics SA in 2025 https://www.statssa.gov.za/?p=18624 DataFirst has standardized terminology and matched geographic levels to this version of the data. The Special District Layer data is at the level of Administrative and Service Level District. These are operational planning geographies used by public institutions in South Africa. The data was released to support the analysis of population and household characteristics within administrative reporting and service delivery divisions. Administrative and Service Level Districts include Education, Health, and Police districts and Judicial divisions (Magisterial Districts). Unlike for previous censuses, Statistics SA has not released the Census 2022 Community Profile data (at the level of Main Place, Sub-place and Ward). The primary reasons for producing district-level data were:
    - to make the Census 2022 results usable within real-world service delivery situations
    - to reveal how population and household patterns differ across districts
    - to enable Census data to better inform planning, policy formulation, and resource allocation and monitoring.
    Kind of Data
    Census/enumeration data [cen]
    Unit of Analysis
    Households and individuals

    Version

    Version Description
    v1.1: Edited, anonymised data for public distribution
    Version Date
    2026-04-01
    Version Responsibility Statement
    DataFirst
    Version Notes
    The CASD 2022 data are intended for geographic analysis. For more technical and complex analyses, researchers are advised to use the 10% South Africa Census Sample, available at https://doi.org/10.25828/efbb-k295

    Scope

    Notes

    Because the COVID-19 pandemic affected key phases of geography frame finalisation and data collection of the census, a multi-mode data collection approach was adopted. Three methods of data collection were used in this census, namely: face to face computer assisted personal interview (CAPI); computer assisted telephone interview (CATI); and computer-assisted web interview (CAWI).

    Keywords
    Statistics South Africa Census 2022 Spatial boundary data GIS shapefiles Census geography Administrative districts Service provision districts

    Coverage

    Geographic Coverage
    The geographic scope of the data is national coverage
    Geographic Coverage notes
    The data is at the level of Administrative and Service Level District which is a geographic division used by government planners (Education, Health, and Police districts), as well as at the level of Judicial division (Magisterial District). Statistics SA has not released the Census 2022 Community Profile data (by Main Place (city/town/village) or Sub-place (suburb)). However, the Magisterial District division in this dataset can be used to analyse data by Magisterial District, including the seat of the Magisterial District court (variable=md_seat ).
    Geographic Unit
    Education Administrative and Service Delivery District (ASDD); Health ASDD; Judicial ASDD (Magisterial District); Police ASDD
    Universe
    South African Census 2022 covered every person present in South Africa on the Census reference night, midnight of 2-3 February 2022 including all de jure household members and residents of institutions.
    Geographic bounding box
    West East South North
    14.062712 33.090851 -35.101934 -22.105999

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Statistics South Africa Government of South Africa

    Study authorization

    Authorization Date
    1999, 2024
    Agency
    Agency name Affiliation Abbreviation
    Statistics South Africa Government of South Africa StatsSA
    Authorization Statement
    Statistics SA is authorised to collect data by the Statistics Act 1999 and the Statistics Amendment Act of 2024

    Sampling

    Response Rate
    Coverage errors are a measure of how many persons or households were missed or counted more than once in the census.
    The final net coverage error rate relative to the final true population of 61,4 million persons is 31,1%. The final net coverage error rate relative to the final true population of 19,3 million households is 30,5%.

    Data collection

    Dates of Data Collection
    Start End
    2022-02-02 2022-05
    Time Method
    Cross-section [cross section]
    Data Collectors
    Name Affiliation Abbreviation Role
    Statistics South Africa Government of South Africa StatsSA Data collectors and producers

    Data processing

    Data Editing
    DataFirst prepared the Census Administrative & Service Provision District Profiles 2022 tables downloaded from Stats SA’s website and standardised the file names so that each data file could be easily identified and managed. Using R, DataFirst linked each Excel table to the corresponding official district boundary shapefile and appended higher-level geographic identifiers, such as district municipality and province, to every record. As part of this step, district names were standardised to ensure consistent matching across files, unnecessary columns with total were removed, and the revised tables were written back to Excel. DataFirst then used Stata to import the cleaned tables, assign consistent and self-explanatory variable names, apply descriptive variable labels, and save the final datasets. The accompanying R script documents the geographic matching and enrichment process, while the Stata do-file documents the variable renaming and labelling process.

    Quality standards

    Other quality statement
    Census 2022 data collected with the sections of the questionnaire documented below have not been released by Statistics SA because reporting and coverage biases makes the data unreliable:
    Section F: Income
    Section G: Employment
    Section H: Fertility
    Section I: Housing, Household Goods and Household Services
    Section J: Agricultural Activities and Food Security
    Section K: Mortality in the last 12 months

    DataFirst has provided a spreadsheet listing the excluded variables which can be downloaded from the Census 2022 10% sample dataset webpage.

    Data appraisal

    Estimates of Sampling Error
    Content errors indicate the quality of key characteristics in the census. With respect to content errors, six variables were tested for consistency in terms of the responses that were recorded in the Census and the Post-enumeration Survey (PES) 2022. The aggregated index of inconsistency was 7,5% for population group, 8,2% for sex, and 13,6% for age group, indicating a high level of agreement. The aggregated index of inconsistency for marital status was 23,0%, relationship to head of household was 34,8%, and country of birth was 42,3%, indicating moderate rates of agreement.

    Access policy

    Location of Data Collection
    DataFirst data repository
    URL for Location of Data Collection
    Archive where study is originally stored
    Statistics South Africa's Isibalo site

    Depositor information

    Depositor
    Name Abbreviation Affiliation URL
    Statistics South Africa StatsSA Government of South Africa
    Date of Deposit
    2025-08-25

    Distributor information

    Distributor
    Organization name Affiliation URL
    DataFirst University of Cape Town
    Date of Distribution
    2026

    access_policy

    Access authority
    Name Affiliation URL Email
    DataFirst University of Cape Town support@data1st.org
    Access conditions
    Creative Commons CC-BY 4.0 attribution license
    Citation requirements
    Statistics South Africa. Census Administrative & Service Provision District Profiles 2022 [dataset]. Version 1. Pretoria: StatsSA and DataFirst [producers], 2025. Cape Town: DataFirst [distributor], 2026. DOI: https://doi.org/10.25828/wafz-wj19
    Deposit requirements
    Researchers agree to cite the data in their publications using the recommended citation in this metadata record, including the DOI (unique dataset identifier)
    Researchers agree to send DataFirst a link to any research publication based on the data

    Contacts

    Contacts
    Name Email URL
    DataFirst Support support@data1st.org

    Metadata production

    Producers
    Name Abbreviation Affiliation Role
    DataFirst DF University of Cape Town Metadata producer
    Date of Metadata Production
    2026-04-01

    Metadata version

    DDI Document version
    Version 2

    Citation

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