## [1] "Updated on 2020-06-08 20:15:02"
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
Ealing
Harrow and Hillingdon
Redbridge and Waltham Forest
Hackney and Newham
Merton, Kingston upon Thames and Sutton
Tower Hamlets
Hounslow and Richmond upon Thames
Staffordshire CC
Wandsworth
Glasgow City
Greater Manchester North East
Camden and City of London
Lewisham and Southwark
Barking & Dagenham and Havering
Greater Manchester South West
Greater Manchester South East
Brent
Leicestershire CC and Rutland
Warwickshire
Hertfordshire
Leeds
Lambeth
East Merseyside
South Nottinghamshire
Wolverhampton
Liverpool
South and West Derbyshire
Nottingham
Dudley
Bexley and Greenwich
Kensington & Chelsea and Hammersmith & Fulham
Bath and North East Somerset, North Somerset and South Gloucestershire
Enfield
Haringey and Islington
Greater Manchester North West
Tyneside
South Hampshire
Bristol, City of
Sandwell
Mid Lancashire
Walsall
Barnet
Berkshire
West Surrey
Leicester
Bradford
Solihull
Calderdale and Kirklees
East Riding of Yorkshire
Sheffield
Stoke-on-Trent
Barnsley, Doncaster and Rotherham
Sunderland
North Lanarkshire
Wakefield
Kingston upon Hull, City of
Central Hampshire
Medium Travel
Coventry
East Surrey
Devon CC
South Teesside
Kent Thames Gateway
Hartlepool and Stockton-on-Tees
Durham CC
Bromley
Derby
Chorley and West Lancashire
Buckinghamshire CC
South Lanarkshire
Cheshire East
Croydon
Medway
Essex Thames Gateway
North Nottinghamshire
Southampton
Plymouth
Portsmouth
East Derbyshire
Thurrock
Worcestershire
Gwent Valleys
West Essex
Inverclyde, East Renfrewshire and Renfrewshire
Cheshire West and Chester
Central Bedfordshire
Sefton
Cambridgeshire CC
Belfast
East Lancashire
Cardiff and Vale of Glamorgan
North Hampshire
Blackpool
West Northamptonshire
Oxfordshire
Warrington
Mid Kent
Edinburgh, City of
West Kent
Breckland and South Norfolk
Norwich and East Norfolk
Wirral
Monmouthshire and Newport
Central Valleys
Dorset CC
Blackburn with Darwen
Northumberland
West Sussex (North East)
North Yorkshire CC
Bridgend and Neath Port Talbot
Heart of Essex
East Lothian and Midlothian
Peterborough
Flintshire and Wrexham
Milton Keynes
Suffolk
Lincolnshire
Least Travel
Bedford
Shropshire CC
Swansea
Darlington
Lancaster and Wyre
Telford and Wrekin
Bournemouth and Poole
Antrim and Newtownabbey
Somerset
North Northamptonshire
East Dunbartonshire, West Dunbartonshire and Helensburgh & Lomond
Ards and North Down
Perth & Kinross and Stirling
North and North East Lincolnshire
Essex Haven Gateway
Southend-on-Sea
Clackmannanshire and Fife
West Sussex (South West)
Brighton and Hove
Torbay
South West Wales
West Lothian
North and West Norfolk
East Sussex CC
East Ayrshire and North Ayrshire mainland
Lisburn and Castlereagh
Cornwall and Isles of Scilly
Falkirk
Wiltshire
South Ayrshire
East Kent
Mid and East Antrim
Armagh City, Banbridge and Craigavon
East Cumbria
York
West Cumbria
Gloucestershire
Gwynedd
Isle of Anglesey
Angus and Dundee City
Mid Ulster
Conwy and Denbighshire
Swindon
Newry, Mourne and Down
Causeway Coast and Glens
Powys
Derry City and Strabane
Inverness & Nairn and Moray, Badenoch & Strathspey
Aberdeen City and Aberdeenshire
Dumfries & Galloway
Caithness & Sutherland and Ross & Cromarty
Herefordshire, County of
Fermanagh and Omagh
Isle of Wight
Lochaber, Skye & Lochalsh, Arran & Cumbrae and Argyll & Bute
Na h-Eileanan Siar (Western Isles)
Orkney Islands
Scottish Borders
Shetland Islands
Regional Specific Analysis
Most Travel
London
East of England
South East
Medium Travel
East Midlands
West Midlands
Yorkshire and The Humber
Least Travel
North West
South West
North East