Last updated 8 August 2023 - see all updates
1. Main facts and figures
63% of households in England owned their own homes in the 2 years from 2016 to 2018
68% of White British households owned their own homes, compared with 74% of Indian households
households in the Black African (20%) and Arab (17%) ethnic groups had the lowest rates of home ownership
in every region in England except the North East, White British households were more likely to be homeowners than all ethnic minority households combined, although figures for the North East may not be reliable because of the small number of households surveyed
in every, socio-economic group and age group, White British households were more likely to own their own homes than all ethnic minority households combined
in every income band except for the lowest, White British households were more likely to be homeowners than all ethnic minority households combined
2. Things you need to know
What the data measures
This data measures the number and percentage of households whose occupants owned their home (including people with a mortgage on the home).
The information relates to households, which is either one person or a group of people sharing cooking facilities and a living room or dining area.
Percentages are rounded to the nearest whole number but have been worked out using unrounded numbers.
Not included in the data
Estimates based on fewer than 30 households have not been included. This is because it is harder to make reliable generalisations from smaller numbers of survey respondents.
The ethnic groups used in the data
For data analysed by ethnicity, the 18 standardised ethnic groups from the 2011 Census are shown.
For data analysed by ethnicity and another factor, 2 ethnic groups are shown:
- White British
- Other – all ethnic minority groups (including White minorities)
This is to keep group sizes big enough to be able to make reliable generalisations.
Some households contain people from different ethnic backgrounds. The ethnicity assigned to the household is that of the head of the household (usually the person with the highest income). The data does not account for people of different ethnic backgrounds who live in the same household.
The ethnicity was known for 99.8% of households.
Read the detailed methodology document for this data.
The data is an average for the years ending March 2017 and March 2018. This is to make sure there are enough households to be able to make reliable generalisations.
The figures on this page are based on survey data. Find out more about interpreting survey data, including how reliability is affected by the number of people surveyed.
In the data file
See Download the data for:
- figures rounded to 1 decimal place
- sample sizes
- weighted figures for the numerator and denominator
3. By ethnicity
|Ethnicity||%||Homeowners ('000s)||All households ('000s)|
|Mixed White/Black African||34||29||85|
|Mixed White/Black Caribbean||32||30||93|
|White Gypsy/Traveller||withheld because a small sample size makes it unreliable||withheld because a small sample size makes it unreliable||withheld because a small sample size makes it unreliable|
4. Data sources
Type of data
Type of statistic
Ministry of Housing, Communities and Local Government
Note on corrections or updates
Information published in the headline report and other annual reports is based on a single year rather than 2 years' data. As a result, the figures shown here may not match those in the English Housing Survey reports.
Purpose of data source
The English Housing Survey collects information about:
- people’s housing circumstances
- the condition and energy efficiency of housing in England
5. Download the data
This file contains the following: ethnicity, year, geography, age group, NS-SEC (socio-economic group), income, region, value, denominator, numerator and sample size -- Please note, the overall percentage of people owning their own home differs when other variables are included in the analysis. This is because there were different response rates for questions about age, income, regions and socio-economic status (NS-SEC). This has resulted in 4 different percentages, sample sizes etc.