## [1] "Updated on 2020-07-03 11:16:15"
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
Ealing
Tower Hamlets
Hackney and Newham
Wandsworth
Glasgow City
Redbridge and Waltham Forest
Merton, Kingston upon Thames and Sutton
Camden and City of London
Hounslow and Richmond upon Thames
Staffordshire CC
Lewisham and Southwark
Greater Manchester North East
Greater Manchester South East
Greater Manchester South West
Leeds
Barking & Dagenham and Havering
Brent
Warwickshire
Hertfordshire
Lambeth
Liverpool
Tyneside
South Nottinghamshire
South and West Derbyshire
Wolverhampton
Kensington & Chelsea and Hammersmith & Fulham
East Merseyside
Leicestershire CC and Rutland
Nottingham
Dudley
Bexley and Greenwich
Bath and North East Somerset, North Somerset and South Gloucestershire
Greater Manchester North West
South Hampshire
Haringey and Islington
Barnet
Mid Lancashire
Bradford
Berkshire
Sunderland
Enfield
Bristol, City of
Solihull
Calderdale and Kirklees
West Surrey
Walsall
Sheffield
Barnsley, Doncaster and Rotherham
Sandwell
North Lanarkshire
Wakefield
Stoke-on-Trent
Central Hampshire
Durham CC
Devon CC
East Riding of Yorkshire
Medium Travel
Coventry
Leicester
East Surrey
Kingston upon Hull, City of
Cheshire East
Kent Thames Gateway
South Teesside
Hartlepool and Stockton-on-Tees
Chorley and West Lancashire
Bromley
South Lanarkshire
Buckinghamshire CC
Essex Thames Gateway
Medway
Derby
North Nottinghamshire
Worcestershire
Plymouth
East Derbyshire
Southampton
Cheshire West and Chester
Croydon
Central Bedfordshire
Portsmouth
Inverclyde, East Renfrewshire and Renfrewshire
Cardiff and Vale of Glamorgan
Belfast
Gwent Valleys
West Essex
North Hampshire
Edinburgh, City of
East Lancashire
Thurrock
West Northamptonshire
Oxfordshire
Sefton
Mid Kent
Wirral
Warrington
Cambridgeshire CC
Norwich and East Norfolk
Breckland and South Norfolk
West Kent
Blackpool
Heart of Essex
Northumberland
Monmouthshire and Newport
North Yorkshire CC
Central Valleys
Dorset CC
Milton Keynes
West Sussex (North East)
Flintshire and Wrexham
Blackburn with Darwen
Bridgend and Neath Port Talbot
Suffolk
East Lothian and Midlothian
Lincolnshire
Peterborough
Least Travel
Swansea
Bedford
Somerset
Shropshire CC
Telford and Wrekin
Darlington
North Northamptonshire
Antrim and Newtownabbey
Lancaster and Wyre
Bournemouth and Poole
East Dunbartonshire, West Dunbartonshire and Helensburgh & Lomond
Essex Haven Gateway
Perth & Kinross and Stirling
Ards and North Down
North and North East Lincolnshire
West Sussex (South West)
Torbay
Brighton and Hove
Southend-on-Sea
Clackmannanshire and Fife
East Ayrshire and North Ayrshire mainland
West Lothian
Falkirk
East Sussex CC
Wiltshire
South West Wales
North and West Norfolk
Lisburn and Castlereagh
East Kent
South Ayrshire
Mid and East Antrim
York
Cornwall and Isles of Scilly
Armagh City, Banbridge and Craigavon
East Cumbria
West Cumbria
Gloucestershire
Newry, Mourne and Down
Gwynedd
Conwy and Denbighshire
Angus and Dundee City
Swindon
Mid Ulster
Isle of Anglesey
Causeway Coast and Glens
Powys
Derry City and Strabane
Herefordshire, County of
Fermanagh and Omagh
Dumfries & Galloway
Inverness & Nairn and Moray, Badenoch & Strathspey
Aberdeen City and Aberdeenshire
Caithness & Sutherland and Ross & Cromarty
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