## [1] "Updated on 2020-07-09 14:14:53"
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 and are expected.
UK Summary
City Specific Analysis
Most Travel
Manchester
Birmingham
Harrow and Hillingdon
Wandsworth
Tower Hamlets
Camden and City of London
Ealing
Glasgow City
Merton, Kingston upon Thames and Sutton
Redbridge and Waltham Forest
Hackney and Newham
Hounslow and Richmond upon Thames
Staffordshire CC
Lewisham and Southwark
Greater Manchester North East
Greater Manchester South East
Barking & Dagenham and Havering
Greater Manchester South West
Leeds
Brent
Hertfordshire
Warwickshire
Tyneside
Lambeth
Kensington & Chelsea and Hammersmith & Fulham
South Nottinghamshire
Liverpool
South and West Derbyshire
Wolverhampton
East Merseyside
Nottingham
Dudley
South Hampshire
Bexley and Greenwich
Bath and North East Somerset, North Somerset and South Gloucestershire
Leicestershire CC and Rutland
Greater Manchester North West
Barnet
Berkshire
Haringey and Islington
Solihull
Sunderland
West Surrey
Mid Lancashire
Enfield
Calderdale and Kirklees
Bradford
Bristol, City of
Walsall
Sheffield
Barnsley, Doncaster and Rotherham
Durham CC
Sandwell
North Lanarkshire
Wakefield
Central Hampshire
Devon CC
Stoke-on-Trent
East Riding of Yorkshire
Medium Travel
Coventry
East Surrey
Kingston upon Hull, City of
Kent Thames Gateway
South Teesside
Leicester
Hartlepool and Stockton-on-Tees
Cheshire East
Bromley
Buckinghamshire CC
Medway
Chorley and West Lancashire
Essex Thames Gateway
South Lanarkshire
Derby
North Nottinghamshire
Plymouth
Worcestershire
Southampton
East Derbyshire
Croydon
Cheshire West and Chester
Portsmouth
Central Bedfordshire
Inverclyde, East Renfrewshire and Renfrewshire
Cardiff and Vale of Glamorgan
Gwent Valleys
Edinburgh, City of
Belfast
North Hampshire
West Essex
Oxfordshire
East Lancashire
Mid Kent
West Northamptonshire
Thurrock
West Kent
Warrington
Wirral
Sefton
Norwich and East Norfolk
Cambridgeshire CC
Blackpool
Northumberland
Breckland and South Norfolk
Heart of Essex
Dorset CC
Central Valleys
Monmouthshire and Newport
North Yorkshire CC
West Sussex (North East)
Milton Keynes
Bridgend and Neath Port Talbot
Flintshire and Wrexham
East Lothian and Midlothian
Blackburn with Darwen
Suffolk
Lincolnshire
Peterborough
Least Travel
Somerset
Swansea
Darlington
Shropshire CC
Bedford
Lancaster and Wyre
Antrim and Newtownabbey
North Northamptonshire
Bournemouth and Poole
Telford and Wrekin
East Dunbartonshire, West Dunbartonshire and Helensburgh & Lomond
Essex Haven Gateway
Brighton and Hove
West Sussex (South West)
Ards and North Down
North and North East Lincolnshire
Perth & Kinross and Stirling
Southend-on-Sea
Torbay
Clackmannanshire and Fife
West Lothian
East Ayrshire and North Ayrshire mainland
East Sussex CC
Wiltshire
Falkirk
North and West Norfolk
Lisburn and Castlereagh
East Kent
York
South West Wales
Mid and East Antrim
South Ayrshire
Armagh City, Banbridge and Craigavon