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SAIS

Income and Expenditure Survey 2022-2023

South Africa, 2022 - 2023
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Reference ID
zaf-statssa-ies-2022-2023-v1
Producer(s)
Statistics South Africa
Collections
South African Income Survey Data
Metadata
DDI/XML JSON
Created on
Dec 19, 2025
Last modified
Dec 23, 2025
Page views
32
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  • Study Description
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  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Study authorization
  • Sampling
  • survey_instrument
  • Data Collection
  • Data Access
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    zaf-statssa-ies-2022-2023-v1

    Title

    Income and Expenditure Survey 2022-2023

    Abbreviation or Acronym

    IES 2022-2023

    Country
    Name Country code
    South Africa zaf
    Study type

    Income and Expenditure Survey

    Abstract

    The Income and Expenditure Survey (IES) is a household‑based survey that collects detailed data on acquisitions, consumption, spending, and income among South African households. Alongside the Living Conditions Survey (LCS), it forms part of Statistics South Africa’s household survey programme, which is essential for updating and reweighting the Consumer Price Index (CPI) to reflect evolving consumption patterns. These surveys also provide the most reliable data for assessing poverty and inequality. Previously, these two surveys were conducted on a rotating basis every 3-5 years, but due to funding limitations, Stats SA has not been able to conduct a new survey since the LCS 2014/15.

    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).

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    The units of analysis in the survey are households and individuals

    Version

    Version Description

    Version 1: Edited, anonymised dataset for public distribution

    Version Date

    2025

    Scope

    Notes

    The survey measures the detailed income and expenditure of households in South Africa

    Topics
    Topic
    Acquisitions
    Income
    Expenditure
    Consumption

    Coverage

    Geographic Coverage

    The survey had national coverage

    Universe

    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

    Primary investigators
    Name Affiliation
    Statistics South Africa Government of South Africa

    Study authorization

    Agency
    Agency name Affiliation Abbreviation
    Statistics South Africa Government of South Africa StatsSA
    Authorization Statement

    Data collection by organs of state in South Africa is authorised by the Statistics Act, 1999, and the Statistics Amendment Act, 2024

    Sampling

    Sampling Procedure

    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

    Questionnaires

    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

    Dates of Data Collection
    Start End Cycle
    2022-11 2023-11 Round 6
    Time Method

    Cross-section [cross section]

    Time periods
    Start date End date Cycle
    2022-11 2023-11 Round 6
    Mode of data collection
    • Other [other]
    Data Collectors
    Name Affiliation Abbreviation
    Statistics South Africa Government of South Africa StatsSA
    Data Collection Notes

    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

    Access authority
    Name Affiliation URL Email
    DataFirst University of Cape Town http://www.datafirst.uct.ac.za info@data1st.org
    Access conditions

    Creative Commons Attribution only CC-BY license

    Citation requirements

    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

    Deposit requirements

    Users of the data must send DataFirst a copy of or link to any publication based on the data

    Restrictions

    Public access

    Contacts

    Contacts
    Name Affiliation Email URL
    DataFirst Helpdesk University of Cape Town support@data1st.org http://support.data1st.org/

    Metadata production

    DDI Document ID

    zaf-statssa-ies-2022-2023-v1

    Producers
    Name Affiliation Role
    DataFirst University of Cape Town Metadata Producer
    Date of Metadata Production

    2025-12-17

    Metadata version

    DDI Document version

    Version

    Version date

    2025

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