Nash: Hours worked

Location Type: Communities, ONS Geographic Code: W04000825

Key Facts

All Residents	270
Male	135
Female	135
Households	107

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

Related Census Areas
Is within
- Newport
  Unitary Authorities
- Llanwern
  Electoral Wards
- Liswerry & Uskmouth
  Middle layer Super Output Areas
- Newport 015I
  Lower layer Super Output Areas
Borders with
- Liswerry
  Communities
- Llanwern
  Communities
- Goldcliff
  Communities
- Wentlooge
  Communities
- Pillgwenlly
  Communities
Overlaps with
- Newport (Newport)
  Built Up Areas
Contains
- Output Area at ST338840
  Output Areas

Table Code	ts059
Issued	2022-12-08
Unit of Measure	Person
Number of Response Options	5

Description
Data
Bar Chart
Pie Chart

This dataset provides Census 2021 estimates that classify usual residents aged 16 years and over in employment the week before the census in England and Wales by the number of hours they worked per week. The estimates are as at Census Day, 21 March 2021.

Summary

The number of hours worked per week before the census includes paid and unpaid overtime. This covers the main job of anyone aged 16 years and over.

Quality Statement

As Census 2021 was during a unique period of rapid change, take care when using this data for planning purposes.
Read more in our Labour market quality information for Census 2021 methodology.

Hours worked: Total: All usual residents aged 16 years and over in employment the week before the census	127
Part-time	41
Part-time: 15 hours or less worked	11
Part-time: 16 to 30 hours worked	30
Full-time	86
Full-time: 31 to 48 hours worked	68
Full-time: 49 or more hours worked	18

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

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