Census 2021 outputs: content design and release phase proposals

Closes 5 Oct 2021

4c: Accommodation type and vacant addresses

We’re investigating four new variables related to accommodation type and vacant addresses. These are:

 

• Care home resident

• Type of vacant address

• Transient population

• Homeless, including people sleeping rough and sofa surfers

Questions on each proposal are included below.

Please provide as much detail as possible to justify your data needs. For example, what policy or planning decisions would the data analysis affect? Decisions will also take into consideration factors such as data quality and statistical disclosure control.

These proposals are at an early stage of development and we aim to further understand user needs through this consultation.  There is no guarantee that it will be possible to produce these variables, but we are keen to understand user needs better before we investigate them more fully.

Care Home resident

There's an exisiting variable on the type of communal establishment a person is resident in, but this will not provide targeted information on care home residents. This separate indicator would denote if a person was resident in a care home.

To compliment this product, we’ve produced a new age classification. This classification has the following categories.

  • Aged 0 to 64 years
  • Aged 65 to 69 years
  • Aged 70 to 74 years
  • Aged 75 to 79 years
  • Aged 80 to 84 years
  • Aged 85 to 89 years
  • Aged 90 years and over

 

Would you use a care home resident indicator if it were produced?
Would you use data from the proposed new age classification providing 5 year age bands from age 65 if it was available?
Please rank the following factors in order of importance in relation to your needs for analysis of care home residents.

‘1’ is most important, and ‘4’ is least important. If a factor is not important at all, please respond ‘Not important’

Type of vacant address

We have data from the census collection process that we could potentially use as an indication of whether an address is vacant, a holiday let or second home.  We could then check this against administrative data.  We’re investigating if this is of sufficient quality to use in analysis of census counts of vacant addresses.

Would you use a type of vacant address variable if it were produced?
Is there a specific classification of vacant address you require?
Please rank the following factors in order of importance in relation to your needs for analysis of types of vacant address.

‘1’ is most important, and ‘3’ is least important. If a factor is not important at all, please respond ‘Not important’

Resident in a mobile or temporary structure

This proposed indicator would show the population who live in a mobile or temporary structure. For example, this might include a boat or caravan. This could indicate a more transient population. We also have some operational data on the type of mobile or temporary accommodation people were usually resident in on Census day. We’re investigating whether this is of sufficient quality to use in analytical products.

Would you use a resident in a mobile or temporary structure variable if it were produced?
If we were able to supplement Census 2021 responses with further administrative data, to categorise the population resident in a mobile or temporary structure as living in boats, tents and caravans, and other accommodation, would this be useful in your analysis?
Please rank the following factors in order of importance in relation to your needs for analysis of the population resident in a mobile or temporary structure.

‘1’ is most important, and ‘3’ is least important. If a factor is not important at all, please respond ‘Not important’

Homeless, including people sleeping rough and sofa-surfers

There are many sorts of homelessness and we’re developing variables to provide data on those we can. The communal establishment questionnaire contains the response option ‘hostel or temporary shelter for the homeless’, which may produce some data on 'rough sleeper' populations.

Local authorities and charities helped our field force to distribute forms and access codes to the homeless population. They did this through night and day shelters to encourage this group to respond.

We also added a response option ‘Staying temporarily (no usual UK address)’ to the individual census forms. This may allow analysis of people with no usual address staying in B&Bs and hotels at the time of the census.

It may also be possible to use the household questionnaire to identify households that have temporary residents with no other address. This would not be a count of individuals, only households, and we’re investigating the usefulness of this in analysis of ‘sofa surfers’ and other inadequately housed populations.

As a result of the difficulties with accurately enumerating this population, it is likely that any outputs would be experimental research outputs.

 
Would you use data on the homeless population if it were produced?
Which subsections of the homeless population are you interested in?

Select all that apply. 

Please rank the following factors in order of importance in relation to your needs for analysis of the homeless population.

‘1’ is most important, and ‘3’ is least important. If a factor is not important at all, please respond ‘Not important’