## [1] "Updated on 2020-06-19 09:40:52"
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
Tower Hamlets
Merton, Kingston upon Thames and Sutton
Wandsworth
Staffordshire CC
Hounslow and Richmond upon Thames
Camden and City of London
Glasgow City
Lewisham and Southwark
Greater Manchester North East
Barking & Dagenham and Havering
Greater Manchester South East
Greater Manchester South West
Leeds
Brent
Warwickshire
Hertfordshire
Lambeth
Liverpool
Leicestershire CC and Rutland
Tyneside
South Nottinghamshire
East Merseyside
Wolverhampton
Kensington & Chelsea and Hammersmith & Fulham
South and West Derbyshire
Bexley and Greenwich
Nottingham
Dudley
Greater Manchester North West
Bath and North East Somerset, North Somerset and South Gloucestershire
South Hampshire
Enfield
Haringey and Islington
Berkshire
Calderdale and Kirklees
Barnet
Mid Lancashire
Solihull
Bristol, City of
West Surrey
Bradford
Walsall
Sunderland
Sheffield
Barnsley, Doncaster and Rotherham
Sandwell
Wakefield
Stoke-on-Trent
Leicester
East Riding of Yorkshire
North Lanarkshire
Durham CC
Central Hampshire
Medium Travel
Coventry
Devon CC
Kingston upon Hull, City of
South Teesside
East Surrey
Hartlepool and Stockton-on-Tees
Kent Thames Gateway
Buckinghamshire CC
Bromley
Chorley and West Lancashire
Cheshire East
Essex Thames Gateway
Medway
North Nottinghamshire
Derby
Worcestershire
South Lanarkshire
East Derbyshire
Croydon
Plymouth
Southampton
Portsmouth
Cheshire West and Chester
Belfast
West Essex
Inverclyde, East Renfrewshire and Renfrewshire
Central Bedfordshire
Thurrock
North Hampshire
East Lancashire
Gwent Valleys
Cardiff and Vale of Glamorgan
West Northamptonshire
Oxfordshire
Sefton
Edinburgh, City of
Cambridgeshire CC
Mid Kent
Norwich and East Norfolk
Warrington
Wirral
Breckland and South Norfolk
West Kent
Blackpool
Heart of Essex
Northumberland
Central Valleys
Dorset CC
Monmouthshire and Newport
North Yorkshire CC
Blackburn with Darwen
West Sussex (North East)
Flintshire and Wrexham
Milton Keynes
East Lothian and Midlothian
Bridgend and Neath Port Talbot
Suffolk
Peterborough
Lincolnshire
Least Travel
Shropshire CC
Telford and Wrekin
Darlington
Somerset
North Northamptonshire
Bedford
Swansea
Antrim and Newtownabbey
Bournemouth and Poole
Lancaster and Wyre
East Dunbartonshire, West Dunbartonshire and Helensburgh & Lomond
Essex Haven Gateway
Ards and North Down
North and North East Lincolnshire
West Sussex (South West)
Brighton and Hove
Southend-on-Sea
Perth & Kinross and Stirling
Torbay
Clackmannanshire and Fife
West Lothian
East Ayrshire and North Ayrshire mainland
East Sussex CC
Wiltshire
North and West Norfolk
Mid and East Antrim
East Kent
Lisburn and Castlereagh
Falkirk
South Ayrshire
South West Wales
Armagh City, Banbridge and Craigavon
York
Cornwall and Isles of Scilly
East Cumbria
West Cumbria
Gloucestershire
Swindon
Newry, Mourne and Down
Conwy and Denbighshire
Gwynedd
Mid Ulster
Angus and Dundee City
Isle of Anglesey
Causeway Coast and Glens
Derry City and Strabane
Powys
Herefordshire, County of
Dumfries & Galloway
Fermanagh and Omagh
Aberdeen City and Aberdeenshire
Inverness & Nairn and Moray, Badenoch & Strathspey
Isle of Wight
Caithness & Sutherland and Ross & Cromarty
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