## [1] "Updated on 2020-07-28 16:46:00"
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
Wandsworth
Tower Hamlets
Redbridge and Waltham Forest
Camden and City of London
Lewisham and Southwark
Hackney and Newham
Birmingham
Ealing
Harrow and Hillingdon
Merton, Kingston upon Thames and Sutton
Glasgow City
Hounslow and Richmond upon Thames
Lambeth
Barking & Dagenham and Havering
Brent
Liverpool
Staffordshire CC
Greater Manchester North East
Greater Manchester South East
Kensington & Chelsea and Hammersmith & Fulham
Bexley and Greenwich
Haringey and Islington
Greater Manchester South West
South Nottinghamshire
Leeds
Enfield
Nottingham
East Merseyside
Hertfordshire
Warwickshire
Barnet
South and West Derbyshire
Berkshire
Bath and North East Somerset, North Somerset and South Gloucestershire
Tyneside
Wolverhampton
Solihull
Dudley
Bristol, City of
Mid Lancashire
South Hampshire
Walsall
Leicestershire CC and Rutland
Greater Manchester North West
Sandwell
West Surrey
Sunderland
Bromley
North Lanarkshire
Bradford
Stoke-on-Trent
East Riding of Yorkshire
Devon CC
Sheffield
Croydon
Kingston upon Hull, City of
Calderdale and Kirklees
Barnsley, Doncaster and Rotherham
Medium Travel
South Teesside
Coventry
Central Hampshire
East Surrey
Blackpool
Kent Thames Gateway
Durham CC
Medway
Wakefield
South Lanarkshire
Leicester
Cheshire East
Buckinghamshire CC
Hartlepool and Stockton-on-Tees
Inverclyde, East Renfrewshire and Renfrewshire
Plymouth
Portsmouth
Edinburgh, City of
Derby
Wirral
Sefton
Chorley and West Lancashire
Essex Thames Gateway
Southampton
West Essex
Worcestershire
Cheshire West and Chester
Belfast
Thurrock
Oxfordshire
Norwich and East Norfolk
Breckland and South Norfolk
North Nottinghamshire
East Derbyshire
North Hampshire
East Lothian and Midlothian
Central Bedfordshire
Mid Kent
Cambridgeshire CC
Cardiff and Vale of Glamorgan
Warrington
Gwent Valleys
Northumberland
West Kent
East Lancashire
West Sussex (North East)
Milton Keynes
Flintshire and Wrexham
Dorset CC
West Northamptonshire
Heart of Essex
Monmouthshire and Newport
Blackburn with Darwen
North Yorkshire CC
Lincolnshire
Bridgend and Neath Port Talbot
Lancaster and Wyre
Central Valleys
East Dunbartonshire, West Dunbartonshire and Helensburgh & Lomond
Least Travel
Peterborough
Suffolk
Ards and North Down
Antrim and Newtownabbey
Shropshire CC
Brighton and Hove
Swansea
Bournemouth and Poole
Perth & Kinross and Stirling
Telford and Wrekin
Torbay
Bedford
Clackmannanshire and Fife
Southend-on-Sea
Somerset
North and North East Lincolnshire
Darlington
West Sussex (South West)
Essex Haven Gateway
North Northamptonshire
West Lothian
East Sussex CC
York
North and West Norfolk
Falkirk
East Ayrshire and North Ayrshire mainland
South West Wales
Cornwall and Isles of Scilly
East Kent
South Ayrshire
Lisburn and Castlereagh
Mid and East Antrim
Armagh City, Banbridge and Craigavon
West Cumbria
East Cumbria
Wiltshire
Conwy and Denbighshire
Newry, Mourne and Down
Gwynedd
Isle of Anglesey
Gloucestershire
Angus and Dundee City
Causeway Coast and Glens
Swindon
Mid Ulster
Derry City and Strabane
Powys
Aberdeen City and Aberdeenshire
Caithness & Sutherland and Ross & Cromarty
Dumfries & Galloway
Fermanagh and Omagh
Herefordshire, County of
Inverness & Nairn and Moray, Badenoch & Strathspey
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
Yorkshire and The Humber
West Midlands
Least Travel
North West
South West
North East