Income spent on rent for new lettings of social housing
Last updated 31 July 2020 - see all updates
1. Main facts and figures
- in 2017/18, there were 297,565 new social housing lettings where the ethnicity of the main tenant was known
- the percentage of income (including benefits) spent on rent for new social housing lettings is similar across all ethnic groups, ranging from 33% to 40% – by comparison, the percentages in 2016/17 ranged from 34% to 41%
- Black Caribbean households spent the largest percentage of their income on rent compared to all other ethnic groups, while Pakistani and Other White households spent the lowest percentage – this was also the case in 2015/16 and 2016/17
2. Things you need to know
What the data measures
This data measures the amount of rent paid for social housing lettings as a percentage of total household income.
The information relates to households of either one person or a group of people sharing cooking facilities and a living room or dining area. It must be their main or only home.
Percentages have been rounded to the nearest whole number.
Not included in the data
The data does not include:
- lettings where a tenant started a new tenancy agreement but stayed in the same property
- lettings where the ethnicity of the main tenant was not known (5% of households)
- households who did not give details of their income (43% of households )
Data has been suppressed (not shown) if there are only 1 or 2 people in a particular ethnic group. This is to protect people’s confidentiality.
The ethnic groups used in the data
This data uses the 18 standardised ethnic groups from the 2011 Census.
Each household’s ethnic group is the ethnicity of the main tenant. For a joint tenancy, the main tenant is the person who is either employed, or unemployed and looking for work. If both tenants have the same employment status, the main tenant is the oldest person.
The ethnicity of the main tenant was not known for 5% of all new social housing lettings.
Read the detailed methodology document for the data used on this page.
This data has not been adjusted to take into account the number of people living in a household, or their employment status. For example, a household of 4 people could be made up of 2 working adults and 2 dependent children, or it could include 4 working adults.
You can see data about families and households by ethnicity.
The data has been weighted so it is representative of the population of England. Read more about how weighting is used to make survey data more representative of the whole group being studied.
In the data file
See Download the data for data for the years ending March 2016 and March 2017.
3. By ethnicity
|Mixed White/Black African||39||38||37|
|Mixed White/Black Caribbean||40||39||39|
Summary of Income spent on rent for new lettings of social housing By ethnicity Summary
4. By ethnicity and area
|Ethnicity||East Midlands||East of England||London||North East||North West||South East||South West||West Midlands||Yorkshire & Humber|
|Mixed White/Black African||35||38||45||36||35||38||35||34||33|
|Mixed White/Black Caribbean||36||38||47||29||36||39||39||38||34|
Summary of Income spent on rent for new lettings of social housing By ethnicity and area Summary
5. Data sources
Type of data
Type of statistic
Ministry of Housing, Communities and Local Government
Purpose of data source
The aim of Continuous Recording of Lettings and Sales in Social Housing in England (CORE) is to provide information about new social housing lettings, sales, tenants and buyers across England.
This information is used by government bodies and organisations to inform social housing funding, regulatory and housing policy decisions.
Because the data on this page only includes lettings where the tenant reported their ethnicity, the figures published here may be different from other published figures on social housing. These figures have not been published separately by the Ministry of Housing, Communities and Local Government (MHCLG).
6. Download the data
This files contains the following: Measure, Ethnicity, Ethnicity_type, Time, Time_type, Geography_code, Geography_name. Geography_type, Value