Great Dunmow: Method used to travel to work
Location Type: Built Up Areas, ONS Geographic Code: E63004165
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Key Facts
| All Residents | 11,054 |
| Male | 5,296 |
| Female | 5,760 |
| Households | 4,749 |
The ONS doesn't publish census data directly for Built Up Areas. The figures on this page are aggregated from census areas contained within Great Dunmow. They may not, therefore, be precisely accurate. Age-standardised statistics and population density are not available for aggregated datasets.
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| Table Code | ts061 |
| Issued | 2022-12-08 |
| Unit of Measure | Person |
| Number of Response Options | 12 |
Description
Data
Bar Chart
Pie ChartThis 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 their method used to travel to work (2001 specification). The estimates are as at Census Day, 21 March 2021.
Summary
A person's place of work and their method of travel to work. This is the 2001 method of producing travel to work variables.
"Work mainly from home" applies to someone who indicated their place of work as their home address and travelled to work by driving a car or van, for example visiting clients.
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 Travel to work quality information for Census 2021 methodology.
| Method of travel to workplace: Total: All usual residents aged 16 years and over in employment the week before the census | 5,532 |
|---|---|
| Work mainly at or from home | 1,815 |
| Underground, metro, light rail, tram | 11 |
| Train | 79 |
| Bus, minibus or coach | 42 |
| Taxi | 10 |
| Motorcycle, scooter or moped | 17 |
| Driving a car or van | 2,973 |
| Passenger in a car or van | 141 |
| Bicycle | 27 |
| On foot | 374 |
| Other method of travel to work | 43 |
These values are calculated by adding up the values for census output areas contained within Great Dunmow. They may, therefore, be slightly inaccurate due to administrative boundaries not precisely aligning with census boundaries.
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