Rayne: Household composition

Location Type: Built Up Areas, ONS Geographic Code: E63004159

Key Facts

All Residents	3,272
Male	1,603
Female	1,670
Households	1,289

The ONS doesn't publish census data directly for Built Up Areas. The figures on this page are aggregated from census areas contained within Rayne. They may not, therefore, be precisely accurate. Age-standardised statistics and population density are not available for aggregated datasets.

Related Census Areas
Is within
- England
  Country
- East of England
  Regions
- Essex
  Counties
Borders with

No equivalent neighbouring areas found.
Overlaps with
- Braintree
  Non-metropolitan Districts
- Uttlesford
  Non-metropolitan Districts
- Output Area at TL724224
  Output Areas
- Output Area at TL730223
  Output Areas
- Output Area at TL728233
  Output Areas
- Felsted
  Civil Parishes
- Rayne
  Civil Parishes
- Rayne
  Electoral Wards/Divisions
- Great Notley & Black Notley
  Electoral Wards/Divisions
- Felsted & Stebbing
  Electoral Wards/Divisions
- Flitch Green, Felsted & High Easter
  Middle layer Super Output Areas
- Braintree West & Rayne
  Middle layer Super Output Areas
- Braintree 010D
  Lower layer Super Output Areas
- Braintree 010C
  Lower layer Super Output Areas
- Uttlesford 008B
  Lower layer Super Output Areas
- Output Area at TL736234
  Output Areas
- Output Area at TL716235
  Output Areas
- Output Area at TL721202
  Output Areas
- Output Area at TL740221
  Output Areas
Contains
- Output Area at TL727227
  Output Areas
- Output Area at TL728224
  Output Areas

Table Code	ts003
Issued	2022-12-13
Unit of Measure	Household
Number of Response Options	15

Description
Data
Bar Chart
Pie Chart

This dataset provides Census 2021 estimates that classify households in England and Wales by the relationships between household members (household composition). The estimates are as at Census Day, 21 March 2021.

Summary

Households according to the relationships between members.

One-family households are classified by:

* the number of dependent children
* family type (married, civil partnership or cohabiting couple family, or lone parent family)

Other households are classified by:

* the number of people
* the number of dependent children
* whether the household consists only of students or only of people aged 66 and over

Quality Statement

Data about household relationships might not always look consistent with legal partnership status. This is because of complexity of living arrangements and the way people interpreted these questions. Take care when using these two variables together.

More information at the ONS website

Household composition: Total	1,290
One person household	242
One person household: Aged 66 years and over	136
One person household: Other	106
Single family household	990
Single family household: All aged 66 years and over	174
Single family household: Married or civil partnership couple	575
Single family household: Married or civil partnership couple: No children	206
Single family household: Married or civil partnership couple: Dependent children	248
Single family household: Married or civil partnership couple: All children non-dependent	121
Single family household: Cohabiting couple family	149
Single family household: Cohabiting couple family: No children	75
Single family household: Cohabiting couple family: With dependent children	67
Single family household: Cohabiting couple family: All children non-dependent	7
Single family household: Lone parent family	89
Single family household: Lone parent family: With dependent children	45
Single family household: Lone parent family: All children non-dependent	44
Single family household: Other single family household	3
Single family household: Other single family household: Other family composition	3
Other household types	58
Other household types: With dependent children	16
Other household types: Other, including all full-time students and all aged 66 years and over	42

These values are calculated by adding up the values for census output areas contained within Rayne. They may, therefore, be slightly inaccurate due to administrative boundaries not precisely aligning with census boundaries.

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