## [1] "Updated on 2020-09-04 10:18:02"
Reading Guide
Data
This report is based on mobility data produced for the Disease Prevention Maps tools by the Facebook Data for Good Program (https://dataforgood.fb.com/tools/disease-prevention-maps/), with access facilitated by the COVID-19 Mobility Data Network (https://www.covid19mobility.org/).
These data represent people who use Facebook in this region and have location services enabled. Data are aggregated at a 600m x 600m sized tiles and vectors (lines) are drawn connecting all areas to each other. These lines provide data in both directions (going from area A to B and from area B to A). These data include:
- The starting point of each line
- The ending point of each line
- The number of people who traveled along this line in both directions for the 45 days preceeding the collection of the data (noted on the bottom of every set of figures)
- The number of people who traveled along this line in both directions for a given time period.
- The length of the line in euclidean distance (as the crow flies, not through the existing travel network).
- Data are aggregated in 8 hour blocks, one of these blocks for UK is from 2100 to 0500. We treat this as belonging to the date that 2100 is in.
Pointers on evaluating the data
- It is best to look at percent change in trips and total distance traveled as two views of a “mobility” metric. For example, if the number of trips goes up but the total distance traveled goes down, it likely means that people are moving a bit more but mainly going shorter distances, perhaps just exercising or walking around the neighborhood.
- When looking at the travel network remember that some people will live at boundaries of the area of interest, therefore, it may just be short distance movements that are resulting in people traveling from one location to another. Long distance travel connections are more difficult to rationalize and warrant further investigation.
- You’ll often see an uptick in movement and total distance traveled on the weekends. This is generally normal behavior, though deviation from this during lock down measures should be evaluated.
- Keep an eye on the Y axis, it may be log scaled to better show the data. The labels are correct but rates of change are more extreme than they appear.
Key Takeaways
- The uptick in movement has generally leveled off. There are some new travel patterns for the regions with most travel that should be evaluated to ensure that the networks make sense and are expected.
UK Summary

City Specific Analysis
Most Travel
Manchester

Glasgow City

Birmingham

Camden and City of London

Wandsworth

Tower Hamlets

Lewisham and Southwark

Merton, Kingston upon Thames and Sutton

Ealing

Harrow and Hillingdon

Hounslow and Richmond upon Thames

Staffordshire CC

Hackney and Newham

Redbridge and Waltham Forest

Greater Manchester North East

Greater Manchester South East

Greater Manchester South West

Warwickshire

Leeds

Tyneside

Brent

Barking & Dagenham and Havering

Liverpool

South Nottinghamshire

Hertfordshire

Leicestershire CC and Rutland

Kensington & Chelsea and Hammersmith & Fulham

South and West Derbyshire

Wolverhampton

Nottingham

Lambeth

East Merseyside

Bath and North East Somerset, North Somerset and South Gloucestershire

Dudley

Greater Manchester North West

Bexley and Greenwich

Berkshire

Mid Lancashire

South Hampshire

West Surrey

Bristol, City of

Solihull

Sunderland

North Lanarkshire

Haringey and Islington

Sheffield

Barnsley, Doncaster and Rotherham

Walsall

Calderdale and Kirklees

Bradford

Barnet

Enfield

Durham CC

Leicester

Sandwell

Stoke-on-Trent

Wakefield

Devon CC

Central Hampshire

Medium Travel
Coventry

South Lanarkshire

East Riding of Yorkshire

Cheshire East

South Teesside

Hartlepool and Stockton-on-Tees

East Surrey

Chorley and West Lancashire

Kent Thames Gateway

Bromley

Inverclyde, East Renfrewshire and Renfrewshire

Kingston upon Hull, City of

Edinburgh, City of

Buckinghamshire CC

Essex Thames Gateway

North Nottinghamshire

Worcestershire

Derby

Medway

Plymouth

Cheshire West and Chester

East Derbyshire

Cardiff and Vale of Glamorgan

Belfast

Southampton

Central Bedfordshire

Gwent Valleys

Portsmouth

Croydon

Wirral

North Hampshire

West Essex

Oxfordshire

East Lancashire

Mid Kent

Blackpool

Norwich and East Norfolk

West Northamptonshire

Thurrock

West Kent

Northumberland

Warrington

Sefton

Cambridgeshire CC

Heart of Essex
