Income and Expenditure Survey 2022-2023
South Africa, 2022 - 2023
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ZAF_2022-2023_IES_v01_M
Income and Expenditure Survey 2022-2023
IES 2022-23
| Name | Country code |
|---|---|
| South Africa | ZAF |
Income and Expenditure Survey
The objectives of the IES are to: establish household income and expenditure profiles; identify and reweight the Consumer Price Index (CPI) basket of goods and services based on household consumption patterns; provide inputs for developing and maintaining the household component of the National Accounts; update the country’s money‑metric, subjective, and multidimensional poverty profiles; revise inequality estimates; contribute to the rebasing of national poverty lines; and generate food security statistics.
Going forward, the survey is planned to be fully integrated into the upcoming Continuous Population Survey (CPS) programme, along with the LCS and other Continuous Data Collection (CDC) surveys such as the General Household Survey (GHS) and Domestic Tourism Survey (DTS).
Sample survey data [ssd]
The units of analysis in the survey are households and individuals
Version
Version 01: Edited, anonymised dataset for public distribution
2025
Scope
The survey measures the detailed income and expenditure of households in South Africa
| Topic |
|---|
| Acquisitions |
| Income |
| Expenditure |
| Consumption |
Coverage
National coverage
The sample for the survey included all dwelling types (domestic households, holiday homes, and all households in workers' residences, such as mining hostels and dormitories for workers). It excluded institutions such as hospitals, prisons, old-age homes, student hostels, and dormitories for scholars. Boarding houses, hotels, lodges, and guesthouses were also excluded from the sample.
Producers and sponsors
| Name | Affiliation |
|---|---|
| Statistics South Africa | Government of South Africa |
Study authorization
| Agency name | Affiliation | Abbreviation |
|---|---|---|
| Statistics South Africa | Government of South Africa | StatsSA |
Data collection by organs of state in South Africa is authorised by the Statistics Act, 1999, and the Statistics Amendment Act, 2024
Sampling
A total of 3, 324 Master Sample (MS) Primary Sampling Units (PSUs) were selected for the creation of an up-to-date GIF to be used in the selection of systematic sample of dwelling units (DUs) for the survey. However, during sampling process, it was realized that six (6) of the PSUs could not provide the sample due to a PSU being partly or completely demolished and PSU count being shrunk at the time of unpacking as compared to the Census 2011 count. Consequently, the resulted sample drawn consisted of 31,042 dwelling units from the 3,318 PSUs.
Survey instrument
The IES 2022/23 employed three instruments to gather household information: a household questionnaire, two weekly diaries, and the Classification of Individual Consumption According to Purpose (COICOP) codebook. Each instrument served a distinct function, collectively ensuring the collection of comprehensive data necessary for producing reliable income and expenditure estimates.
Data collection
| Start | End | Cycle |
|---|---|---|
| 2022-11 | 2023-11 | Round 6 |
Cross-section [cross section]
| Start date | End date | Cycle |
|---|---|---|
| 2022-11 | 2023-11 | Round 6 |
- Other [other]
| Name | Affiliation | Abbreviation |
|---|---|---|
| Statistics South Africa | Government of South Africa | StatsSA |
The IES 2022/23 employed a mixed-methodology combining diary and recall approaches. Respondents were asked to record their daily acquisitions of non‑durable, semi‑durable, and durable goods, as well as services, in weekly diaries over two weeks. In addition, they were required to recall acquisitions of semi‑durable and durable goods, along with selected services, for the 12 months preceding the survey month. Data collection was conducted primarily through Computer‑Assisted Personal Interviews (CAPI). Where CAPI was not feasible, Computer‑Assisted Telephonic Interviews (CATI) were implemented as a supplementary mode of data collection.
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| DataFirst | University of Cape Town | http://www.datafirst.uct.ac.za | info@data1st.org |
Creative Commons Attribution only CC-BY license
Statistics South Africa. Income and Expenditure 2022/2023 [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2025. Cape Town: DataFirst [distributor], 2011. DOI: https://doi.org/10.25828/Z52Z-RE15
Users of the data must send DataFirst a copy of or link to any publication based on the data
Public access
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| DataFirst Helpdesk | University of Cape Town | support@data1st.org | http://support.data1st.org/ |
Metadata production
DDI_ZAF_2022-2023_IES_v01_M
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| DataFirst | University of Cape Town | Metadata Producer | |
| Development Data Group | DECDG | The World Bank | Metadata adapted for World Bank Microdata Library |
2025-12-17
Metadata version
Identical to a metadata (zaf-statssa-ies-2022-2023-v1) published on DataFirst microdata repository (https://www.datafirst.uct.ac.za/dataportal/index.php/catalog). Some of the metadata fields have been edited.