South African Census 2022, 10% Sample
South Africa, 2022
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zaf-statssa-census-2022-v1
South African Census 2022
10% Sample
| Name | Country code |
|---|---|
| South Africa | zaf |
Population and Housing Census
Censuses are principal means of collecting basic population and housing statistics required for social and economic development, policy interventions, their implementation and evaluation. The Post-Apartheid South African government has conducted four Censuses, in 1996, 2001, 2011 and 2022.
Census/enumeration data
Households and individuals
Version
v1: Edited, anonymised dataset for public distribution
2022
Version 1 of the South African Census 2022 10% sample dataset was downloaded by DataFirst from Statistics South Africa in September 2024.
Scope
The South African Census 2022 dealt with the following topics:
Household characteristics, including dwelling type, home ownership, household assets, access to services, energy sources and food security;
Individuals' characteristics, including demographics (age, population group, language, religion, citizenship), migration, general health and functioning (disability), parental survival (mortality) and education;
Geography, including province, district municipality, local municipality and geographic type (urban/rural).
Coverage
The South African Census 2022 has national coverage.
The lowest level of geographic aggregation covered by the data is local municipality. Data at enumeration area is not released, to protect respondent confidentiality. A Small Area Layer (SAL) of geography has been created by Stats SA to fulfil researchers' need for data at more detailed geographic levels. The SAL data is only available on request directly from StatsSA. The small area is made up of one or more EA's provided they conform to certain criteria such as population thresholds, area size, geographical constraints, and land use type. For example, in formal areas the population of the small area must be over 300. Enumeration Areas have been combined with neighbouring EAs with the same characteristics to make up these numbers. When the SALs are mapped blank spaces will appear which represent EAs that did not meet the criteria of having the same characteristics as surrounding EAs.
The 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.
Producers and sponsors
| Name | Affiliation |
|---|---|
| Statistics South Africa | Government of South Africa |
Sampling
Census 2022 micro-data were sampled from the latest census data based on prescribed business requirements to ensure the generated estimates match the census population counts at local municipal level by age, sex, and population group. The Census 2022 Household record file and Person record file were used as a basis for the creation of the household and person sampling frame respectively. Households and household members in the in-scope households (records of the household questionnaire) formed part of the 10% sample. The municipal sample sizes for households were determined by taking 10% of the respective municipal measure of sizes. The household frame was implicitly stratified within each local municipality using household characteristics. Systematic samples of households were selected in each local municipality from the implicitly sorted household frame. The procedure used the allocated sample within each local municipality to produce the sample of households as well as the sampling weights, which are the inverse of the inclusion probabilities.
A Post-enumeration Survey (PES) is an independent sample survey that is conducted immediately after the completion of census enumeration to evaluate the coverage and content errors of the census. A sample of 840 sub-enumeration areas was selected across South Africa's nine provinces for the PES sampling frame. A mixed-mode data collection methodology was implemented to counteract the effects of the COVID19 pandemic. This was made possible by having integrated, digitally enabled survey processes with a geo-spatial information frame as a base.
survey_instrument
One questionnaire was used to capture the Census 2022 which included information on:
- Households - particulars of the household (cover page of the household questionnaire) and household information sections of the household questionnaire.
- Persons - particulars of the household member and person information sections of the household questionnaire.
- Geography - geographic information associated with households and persons
A Post-Enumeration Survey was carried out after the census, which used a PES questionnaire.
Data Collection
| Start | End |
|---|---|
| 2022-02-02 | 2022-02-03 |
- Face-to-Face and Computer Assisted Personal and Telephone Interview
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 interviews- Computer-assisted Personal Interview (CAPI);
- Telephonic interviews -Computer-assisted Telephone Interview (CATI); and
- Computer-assisted Web Interview (CAWI).
Data appraisal
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 thus 31,1%. The final net coverage error rate relative to the final true population of 19,3 million households is 30,5%.
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 PES. 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.
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| DataFirst | University of Cape Town | support.data1st.org | support@data1st.org |
Public access data for use under a Creative Commons CC-BY (Attribution-only) License
Statistics South Africa. South African Census 2022, 10% sample [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2024. Cape Town: DataFirst [distributor], 2024. DOI: https://doi.org/10.25828/efbb-k295
Metadata production
| Name | Affiliation | Role |
|---|---|---|
| DataFirst | University of Cape Town | Metadata producer |
2024-09-18
Metadata version
Version 2