## [1] "Updated on 2020-07-17 09:02:04"
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
Glasgow City
Camden and City of London
Wandsworth
Tower Hamlets
Harrow and Hillingdon
Ealing
Merton, Kingston upon Thames and Sutton
Redbridge and Waltham Forest
Hackney and Newham
Staffordshire CC
Hounslow and Richmond upon Thames
Lewisham and Southwark
Greater Manchester North East
Greater Manchester South East
Greater Manchester South West
Leeds
Barking & Dagenham and Havering
Brent
Warwickshire
Tyneside
Hertfordshire
South Nottinghamshire
Lambeth
Liverpool
South and West Derbyshire
Kensington & Chelsea and Hammersmith & Fulham
Wolverhampton
Nottingham
East Merseyside
Bath and North East Somerset, North Somerset and South Gloucestershire
Dudley
Bexley and Greenwich
Greater Manchester North West
South Hampshire
Leicestershire CC and Rutland
Berkshire
West Surrey
Mid Lancashire
Haringey and Islington
Sunderland
Solihull
Bristol, City of
Walsall
Bradford
Calderdale and Kirklees
Barnet
Enfield
Sheffield
Barnsley, Doncaster and Rotherham
North Lanarkshire
Sandwell
Durham CC
Wakefield
Central Hampshire
Stoke-on-Trent
Devon CC
East Riding of Yorkshire
Medium Travel
Coventry
East Surrey
Kingston upon Hull, City of
Hartlepool and Stockton-on-Tees
South Teesside
South Lanarkshire
Cheshire East
Kent Thames Gateway
Buckinghamshire CC
Leicester
Bromley
North Nottinghamshire
Essex Thames Gateway
Chorley and West Lancashire
Derby
Plymouth
Medway
Worcestershire
Southampton
East Derbyshire
Inverclyde, East Renfrewshire and Renfrewshire
Cheshire West and Chester
Croydon
Edinburgh, City of
Cardiff and Vale of Glamorgan
Portsmouth
Central Bedfordshire
Gwent Valleys
North Hampshire
West Essex
Oxfordshire
East Lancashire
Wirral
Thurrock
Mid Kent
Sefton
West Northamptonshire
Belfast
Blackpool
Norwich and East Norfolk
Warrington
Cambridgeshire CC
West Kent
Northumberland
Breckland and South Norfolk
Heart of Essex
Central Valleys
North Yorkshire CC
Dorset CC
Monmouthshire and Newport
West Sussex (North East)
Milton Keynes
Bridgend and Neath Port Talbot
Flintshire and Wrexham
East Lothian and Midlothian
Blackburn with Darwen
Suffolk
Peterborough
Lincolnshire
Least Travel
Shropshire CC
Swansea
Telford and Wrekin
Somerset
Lancaster and Wyre
Bedford
Darlington
East Dunbartonshire, West Dunbartonshire and Helensburgh & Lomond
North Northamptonshire
Bournemouth and Poole
Essex Haven Gateway
Antrim and Newtownabbey
Perth & Kinross and Stirling
Brighton and Hove
North and North East Lincolnshire
Torbay
West Sussex (South West)
Clackmannanshire and Fife
Southend-on-Sea
Ards and North Down
West Lothian
East Ayrshire and North Ayrshire mainland
Falkirk
Wiltshire
East Sussex CC
North and West Norfolk
York
East Kent
South West Wales
South Ayrshire
Cornwall and Isles of Scilly
Lisburn and Castlereagh
Mid and East Antrim
Armagh City, Banbridge and Craigavon
East Cumbria
Gloucestershire
West Cumbria
Swindon
Gwynedd
Conwy and Denbighshire
Newry, Mourne and Down
Isle of Anglesey
Angus and Dundee City
Powys
Mid Ulster
Causeway Coast and Glens
Derry City and Strabane
Herefordshire, County of
Dumfries & Galloway
Fermanagh and Omagh
Aberdeen City and Aberdeenshire
Scottish Borders
Isle of Wight
Inverness & Nairn and Moray, Badenoch & Strathspey
Caithness & Sutherland and Ross & Cromarty
Lochaber, Skye & Lochalsh, Arran & Cumbrae and Argyll & Bute
Na h-Eileanan Siar (Western Isles)
Orkney Islands
Shetland Islands
Regional Specific Analysis
Most Travel
London
South East
East of England
Medium Travel
East Midlands
West Midlands
Yorkshire and The Humber
Least Travel
North West
South West
North East