## [1] "Updated on 2020-06-26 11:29:48"
Produced by WorldPop (www.worldpop.org) at the University of Southampton, UK
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 the UK 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) We are provided:
- 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 preceding 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 the UK is from 2100 to 0500. We treat this as belonging to the date that 2100 is in.
Pointers on evaluating the data
- It’s 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 even just exercising or walking around the neighborhood.
- When looking at the travel network remember that people will live at the 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 travelled 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
- A general upward trend in movement is evident across many parts of the UK, but not all. There are some new travel patterns for the regions with most travel that should be evaluated to ensure that the networks make sense anf are expected.
UK Summary
City Specific Analysis
Most Travel
Manchester
Birmingham
Harrow and Hillingdon
Ealing
Wandsworth
Tower Hamlets
Redbridge and Waltham Forest
Merton, Kingston upon Thames and Sutton
Hackney and Newham
Glasgow City
Hounslow and Richmond upon Thames
Camden and City of London
Staffordshire CC
Lewisham and Southwark
Greater Manchester North East
Greater Manchester South East
Greater Manchester South West
Barking & Dagenham and Havering
Brent
Leeds
Warwickshire
Hertfordshire
Lambeth
Tyneside
Leicestershire CC and Rutland
Liverpool
Kensington & Chelsea and Hammersmith & Fulham
South Nottinghamshire
Wolverhampton
South and West Derbyshire
East Merseyside
Bexley and Greenwich
Dudley
Nottingham
Bath and North East Somerset, North Somerset and South Gloucestershire
Greater Manchester North West
South Hampshire
Haringey and Islington
Mid Lancashire
Enfield
Solihull
Berkshire
Barnet
Sunderland
West Surrey
Walsall
Bristol, City of
Bradford
Calderdale and Kirklees
Sheffield
Barnsley, Doncaster and Rotherham
Sandwell
Wakefield
North Lanarkshire
Leicester
East Riding of Yorkshire
Stoke-on-Trent
Durham CC
Devon CC
Medium Travel
Central Hampshire
Coventry
Kingston upon Hull, City of
Kent Thames Gateway
East Surrey
Chorley and West Lancashire
Bromley
South Teesside
Hartlepool and Stockton-on-Tees
Cheshire East
Buckinghamshire CC
Essex Thames Gateway
South Lanarkshire
Medway
Worcestershire
Derby
North Nottinghamshire
Plymouth
East Derbyshire
Southampton
Croydon
Cheshire West and Chester
Portsmouth
Inverclyde, East Renfrewshire and Renfrewshire
Belfast
Central Bedfordshire
Gwent Valleys
Cardiff and Vale of Glamorgan
West Essex
Edinburgh, City of
East Lancashire
Sefton
Thurrock
Oxfordshire
North Hampshire
Mid Kent
West Northamptonshire
Wirral
Cambridgeshire CC
Norwich and East Norfolk
Blackpool
West Kent
Warrington
Breckland and South Norfolk
Heart of Essex
Northumberland
Central Valleys
Monmouthshire and Newport
West Sussex (North East)
North Yorkshire CC
Dorset CC
Blackburn with Darwen
Milton Keynes
Bridgend and Neath Port Talbot
East Lothian and Midlothian
Flintshire and Wrexham
Suffolk
Lincolnshire
Peterborough
Least Travel
Swansea
Telford and Wrekin
Shropshire CC
Somerset
Bedford
Antrim and Newtownabbey
East Dunbartonshire, West Dunbartonshire and Helensburgh & Lomond
North Northamptonshire
Darlington
Lancaster and Wyre
Bournemouth and Poole
Essex Haven Gateway
Southend-on-Sea
Ards and North Down
Brighton and Hove
North and North East Lincolnshire
West Sussex (South West)
Perth & Kinross and Stirling
Torbay
Clackmannanshire and Fife
West Lothian
East Ayrshire and North Ayrshire mainland
East Sussex CC
North and West Norfolk
Wiltshire
Falkirk
South West Wales