## [1] "Updated on 2020-06-10 19:06:45"
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
Redbridge and Waltham Forest
Harrow and Hillingdon
Ealing
Hackney and Newham
Wandsworth
Lewisham and Southwark
Birmingham
Tower Hamlets
Merton, Kingston upon Thames and Sutton
Hounslow and Richmond upon Thames
Barking & Dagenham and Havering
Camden and City of London
Glasgow City
Lambeth
Brent
Haringey and Islington
Greater Manchester North East
Bexley and Greenwich
Enfield
Staffordshire CC
Kensington & Chelsea and Hammersmith & Fulham
Greater Manchester South East
Liverpool
Greater Manchester South West
East Merseyside
Barnet
Hertfordshire
Bath and North East Somerset, North Somerset and South Gloucestershire
Warwickshire
South Nottinghamshire
Leicestershire CC and Rutland
Bristol, City of
Nottingham
Sandwell
Berkshire
South Hampshire
Wolverhampton
Solihull
South and West Derbyshire
Dudley
West Surrey
Leeds
Walsall
Mid Lancashire
North Lanarkshire
East Riding of Yorkshire
Bromley
Croydon
Leicester
Stoke-on-Trent
Kingston upon Hull, City of
Greater Manchester North West
Devon CC
East Surrey
Central Hampshire
Bradford
Buckinghamshire CC
South Lanarkshire
Medium Travel
Coventry
Sunderland
Plymouth
Tyneside
Medway
Inverclyde, East Renfrewshire and Renfrewshire
Kent Thames Gateway
Calderdale and Kirklees
South Teesside
Sheffield
Portsmouth
Chorley and West Lancashire
Cheshire East
Wakefield
Barnsley, Doncaster and Rotherham
Sefton
Hartlepool and Stockton-on-Tees
Thurrock
Blackpool
Derby
Worcestershire
West Essex
Southampton
Essex Thames Gateway
Oxfordshire
Belfast
North Hampshire
Edinburgh, City of
Durham CC
Cheshire West and Chester
Mid Kent
Gwent Valleys
Norwich and East Norfolk
Breckland and South Norfolk
West Kent
East Lancashire
Warrington
Cambridgeshire CC
East Lothian and Midlothian
East Derbyshire
North Nottinghamshire
Dorset CC
Wirral
Cardiff and Vale of Glamorgan
West Sussex (North East)
Blackburn with Darwen
Central Bedfordshire
West Northamptonshire
Monmouthshire and Newport
Bridgend and Neath Port Talbot
Milton Keynes
Central Valleys
Flintshire and Wrexham
Lincolnshire
East Dunbartonshire, West Dunbartonshire and Helensburgh & Lomond
Peterborough
Lancaster and Wyre
Heart of Essex
Ards and North Down
Least Travel
Northumberland
Bournemouth and Poole
Swansea
North Yorkshire CC
Antrim and Newtownabbey
Bedford
Suffolk
Somerset
Shropshire CC
Southend-on-Sea
Perth & Kinross and Stirling
Clackmannanshire and Fife
Brighton and Hove
Telford and Wrekin
North and North East Lincolnshire
Torbay
West Sussex (South West)
North Northamptonshire
Darlington
Essex Haven Gateway
East Sussex CC
North and West Norfolk
South West Wales
Lisburn and Castlereagh
Cornwall and Isles of Scilly
West Lothian
East Ayrshire and North Ayrshire mainland
East Kent
South Ayrshire
Mid and East Antrim
Falkirk
East Cumbria
West Cumbria
Wiltshire
York
Conwy and Denbighshire
Armagh City, Banbridge and Craigavon
Gwynedd
Isle of Anglesey
Angus and Dundee City
Gloucestershire
Swindon
Mid Ulster
Newry, Mourne and Down
Causeway Coast and Glens
Powys
Aberdeen City and Aberdeenshire
Caithness & Sutherland and Ross & Cromarty
Derry City and Strabane
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
West Midlands
Yorkshire and The Humber
Least Travel
North West
South West
North East