Residential Property Prices in South Africa increased 5.20 percent in March of 2025 over the same month in the previous year. This dataset includes a chart with historical data for South Africa Residential Property Prices.

Abstract

The Residential Property Price Index (RPPI) for South Africa was compiled by Statistics South Africa in partnership with the South African Reserve Bank and with the support of the International Monetary Fund. The source data for the RPPI are the records of property transactions registered with the Office of the Chief Registrar of Deeds (Deeds office). The RPPI is compiled using internationally accepted methods as outlined in Eurostat's Handbook on Residential Property Price Indices and the IMF's Residential Property Price Index Practical Compilation Guide. These documents are provided with the data. The indices are calculated using a rolling window time dummy hedonic regression model. The purpose of RPPIs is to measure changes in the price of residential properties, such as houses, townhouses and flats, purchased by households. Both new and existing dwellings are covered, independently of their final use and their previous owners. Only market prices are considered, including the price of the land on which residential buildings are located.

Analysis unit

Other

Kind of data

Administrative records

Mode of data collection

Other

Graph and download economic data for Real Residential Property Prices for South Africa (QZAR628BIS) from Q1 1966 to Q1 2025 about South Africa, residential, HPI, housing, real, price index, indexes, and price.

This dataset provides values for RESIDENTIAL PROPERTY PRICES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

South Africa House Price Index: Medium Sized Houses data was reported at 544.475 2000=100 in Nov 2016. This records an increase from the previous number of 539.711 2000=100 for Oct 2016. South Africa House Price Index: Medium Sized Houses data is updated monthly, averaging 49.860 2000=100 from Jan 1966 (Median) to Nov 2016, with 611 observations. The data reached an all-time high of 544.475 2000=100 in Nov 2016 and a record low of 3.621 2000=100 in Jan 1966. South Africa House Price Index: Medium Sized Houses data remains active status in CEIC and is reported by Absa Group Limited South Africa. The data is categorized under Global Database’s South Africa – Table ZA.EB001: House Price Index: 2000=100.

Housing Index in South Africa increased to 118.80 points in March from 118.20 points in February of 2025. This dataset provides - South Africa Housing Index- actual values, historical data, forecast, chart, statistics, economic calendar and news.

South Africa ZA: Price to Income Ratio: sa data was reported at 90.320 2015=100 in 2024. This records a decrease from the previous number of 92.422 2015=100 for 2023. South Africa ZA: Price to Income Ratio: sa data is updated yearly, averaging 98.221 2015=100 from Dec 1995 (Median) to 2024, with 30 observations. The data reached an all-time high of 132.663 2015=100 in 2007 and a record low of 71.323 2015=100 in 1997. South Africa ZA: Price to Income Ratio: sa data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s South Africa – Table ZA.OECD.AHPI: House Price Index: Seasonally Adjusted: Non OECD Member: Annual. Nominal house prices divided by nominal disposable income per head. Net household disposable income is used. The population data come from the OECD national accounts database.

South Africa House Price: Average: sa: Middle Segment: Existing data was reported at 1,390,692.000 ZAR in Sep 2016. This records an increase from the previous number of 1,388,451.000 ZAR for Jun 2016. South Africa House Price: Average: sa: Middle Segment: Existing data is updated quarterly, averaging 124,895.000 ZAR from Mar 1966 (Median) to Sep 2016, with 203 observations. The data reached an all-time high of 1,390,692.000 ZAR in Sep 2016 and a record low of 9,012.000 ZAR in Sep 1966. South Africa House Price: Average: sa: Middle Segment: Existing data remains active status in CEIC and is reported by Absa Group Limited South Africa. The data is categorized under Global Database’s South Africa – Table ZA.P004: House Price: Average: by Type: Seasonally Adjusted.

This dataset provides values for FHFA HOUSE PRICE INDEX MOM reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

South Africa House Price: Medium Sized Houses data was reported at 1,360,213.890 ZAR in Nov 2016. This records an increase from the previous number of 1,348,312.017 ZAR for Oct 2016. South Africa House Price: Medium Sized Houses data is updated monthly, averaging 124,560.608 ZAR from Jan 1966 (Median) to Nov 2016, with 611 observations. The data reached an all-time high of 1,360,213.890 ZAR in Nov 2016 and a record low of 9,044.831 ZAR in Jan 1966. South Africa House Price: Medium Sized Houses data remains active status in CEIC and is reported by Absa Group Limited South Africa. The data is categorized under Global Database’s South Africa – Table ZA.P003: House Price.

This dataset provides values for FHFA HOUSE PRICE INDEX MOM reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

South Africa House Price Index: Small Houses data was reported at 505.784 2000=100 in Nov 2016. This records an increase from the previous number of 497.644 2000=100 for Oct 2016. South Africa House Price Index: Small Houses data is updated monthly, averaging 47.192 2000=100 from Jan 1966 (Median) to Nov 2016, with 611 observations. The data reached an all-time high of 505.784 2000=100 in Nov 2016 and a record low of 3.742 2000=100 in Jan 1966. South Africa House Price Index: Small Houses data remains active status in CEIC and is reported by Absa Group Limited South Africa. The data is categorized under Global Database’s South Africa – Table ZA.EB001: House Price Index: 2000=100.

South Africa House Price: Average: sa: Middle Segment: New data was reported at 2,020,193.000 ZAR in Sep 2016. This records an increase from the previous number of 1,922,389.000 ZAR for Jun 2016. South Africa House Price: Average: sa: Middle Segment: New data is updated quarterly, averaging 168,315.000 ZAR from Mar 1966 (Median) to Sep 2016, with 203 observations. The data reached an all-time high of 2,020,193.000 ZAR in Sep 2016 and a record low of 10,219.000 ZAR in Dec 1966. South Africa House Price: Average: sa: Middle Segment: New data remains active status in CEIC and is reported by Absa Group Limited South Africa. The data is categorized under Global Database’s South Africa – Table ZA.P004: House Price: Average: by Type: Seasonally Adjusted.

Results of Kenya's 6th National Census i.e The 2019 Kenya Population and Housing Census Volume I, II, III, and IV reports.

CPI Housing Utilities in South Africa increased to 103.70 points in July from 101.20 points in June of 2025. This dataset provides - South Africa Cpi Housing & Utilities- actual values, historical data, forecast, chart, statistics, economic calendar and news.

South Africa House Price: Average: sa: Luxury data was reported at 6,455,355.000 ZAR in Sep 2016. This records an increase from the previous number of 6,213,129.000 ZAR for Jun 2016. South Africa House Price: Average: sa: Luxury data is updated quarterly, averaging 805,534.000 ZAR from Sep 1966 (Median) to Sep 2016, with 201 observations. The data reached an all-time high of 6,455,355.000 ZAR in Sep 2016 and a record low of 50,850.000 ZAR in Mar 1970. South Africa House Price: Average: sa: Luxury data remains active status in CEIC and is reported by Absa Group Limited South Africa. The data is categorized under Global Database’s South Africa – Table ZA.P004: House Price: Average: by Type: Seasonally Adjusted.

This layer shows the third component of housing intensification for Melbourne 2011. SPSS was used to run the factor analysis. Raw data was downloaded from ABS, SA1, 2011 Factor 3 is dominated by multi-family households with children -this group is dominated by young children and family households with children living and multi-family households in separate houses. Migrants in this group has arrived in Australia from more than 30 years ago to nearly 2 decades ago (1961-2000) mostly from Southern Eastern Europe, and a fewer proportion from North Africa Middle East and Sub Saharan Africa. This group is engaged in lower occupational employment (machine operators and labourer occupations) with low income rate (A$400-799 weekly). Majority of this group is not in labour force. There are also aged group over 55 in this group who seems to be migrated more than 60 years ago (1941-1960) and owns their houses. Component 3 explains 6.0 eigenvalues of variance (%12 of total variation).

Price to Rent Ratio in South Africa increased to 101.30 in the first quarter of 2025 from 100.81 in the fourth quarter of 2024. This dataset includes a chart with historical data for South Africa Price to Rent Ratio.

Abstract

The GHS is an annual household survey specifically designed to measure the living circumstances of South African households. The GHS collects data on education, employment, health, housing and household access to services.

Geographic coverage

The survey is representative at national level and at provincial level.

Analysis unit

Households and individuals

Universe

The survey covered all de jure household members (usual residents) of households in the nine provinces of South Africa and residents in workers' hostels. The survey does not cover collective living quarters such as students' hostels, old age homes, hospitals, prisons and military barracks.

Kind of data

Sample survey data

Sampling procedure

A multi-stage, stratified random sample was drawn using probability-proportional-to-size principles. First level stratification was based on province and second-tier stratification on district council. The GHS 2009 represents the second year of a new master sample (the first year was GHS 2008) that will be used until 2010.

Mode of data collection

Face-to-face [f2f]

Research instrument

GHS uses questionnaires as data collection instruments

Data appraisal

The questionnaire for the General Household Survey has undergone various changes since 2002. Significant changes were made to the GHS 2009 questionnaire and this should be borne in mind when comparing across different datasets. See GHS 2009 statistical release for a detailed report on important differences between the questionnaires.

In GHS 2009-2010:

The variable on care provision (Q129acre) in the GHS 2009 and 2010 should be used with caution. The question to collect the data (question 1.29a) asks:

"Does anyone in this household personally provide care for at least two hours per day to someone in the household who - owing to frailty, old age, disability, or ill-health cannot manage without help?"

Response codes (in the questionnaire, metadata, and dataset) are:

1 = No 2 = Yes, 2-19 hours per week 3 = Yes, 20-49 hours per week 4 = Yes, 50 + hours per week 5 = Do not know

There is inconsistency between the question, which asks about hours per day, and the response options, which record hours per week. The outcome that a respondent who gives care for one hour per day (7 hours/week) would presumably not answer this question. Someone giving care for 13 hours a week would also be excluded as though they do that do serious caregiving, which is incorrect.

In GHS 2009-2015:

The variable on land size in the General Household Survey questionnaire for 2009-2015 should be used with caution. The data comes from questions on the households' agricultural activities in Section 8 of the GHS questionnaire: Household Livelihoods: Agricultural Activities. Question 8.8b asks:

“Approximately how big is the land that the household use for production? Estimate total area if more than one piece.” One of the response category is worded as:

1 = Less than 500m2 (approximately one soccer field)

However, a soccer field is 5000 m2, not 500, therefore response category 1 is incorrect. The correct category option should be 5000 sqm. This response option is correct for GHS 2002-2008 and was flagged and corrected by Statistics SA in the GHS 2016.

South Africa House Price Index: Large Houses data was reported at 568.510 2000=100 in Nov 2016. This records an increase from the previous number of 562.838 2000=100 for Oct 2016. South Africa House Price Index: Large Houses data is updated monthly, averaging 52.425 2000=100 from Jan 1966 (Median) to Nov 2016, with 611 observations. The data reached an all-time high of 568.510 2000=100 in Nov 2016 and a record low of 3.380 2000=100 in Jan 1966. South Africa House Price Index: Large Houses data remains active status in CEIC and is reported by Absa Group Limited South Africa. The data is categorized under Global Database’s South Africa – Table ZA.EB001: House Price Index: 2000=100.