## [1] "Updated on 2020-08-02 10:17:17"
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
Glasgow City
Birmingham
Camden and City of London
Wandsworth
Tower Hamlets
Ealing
Harrow and Hillingdon
Merton, Kingston upon Thames and Sutton
Hackney and Newham
Lewisham and Southwark
Redbridge and Waltham Forest
Hounslow and Richmond upon Thames
Staffordshire CC
Greater Manchester North East
Greater Manchester South East
Leeds
Greater Manchester South West
Barking & Dagenham and Havering
Brent
Hertfordshire
Warwickshire
Liverpool
Tyneside
Lambeth
Kensington & Chelsea and Hammersmith & Fulham
South Nottinghamshire
South and West Derbyshire
Wolverhampton
East Merseyside
Bath and North East Somerset, North Somerset and South Gloucestershire
Nottingham
Leicestershire CC and Rutland
Greater Manchester North West
Bexley and Greenwich
Dudley
Mid Lancashire
Berkshire
South Hampshire
West Surrey
Bristol, City of
Bradford
Calderdale and Kirklees
Haringey and Islington
Walsall
North Lanarkshire
Sheffield
Enfield
Barnet
Barnsley, Doncaster and Rotherham
Sunderland
Solihull
Devon CC
Wakefield
Sandwell
Central Hampshire
Durham CC
Stoke-on-Trent
East Riding of Yorkshire
Medium Travel
East Surrey
Coventry
Leicester
South Lanarkshire
Buckinghamshire CC
Cheshire East
South Teesside
Kingston upon Hull, City of
Hartlepool and Stockton-on-Tees
Chorley and West Lancashire
Kent Thames Gateway
Bromley
Edinburgh, City of
Essex Thames Gateway
Derby
Inverclyde, East Renfrewshire and Renfrewshire
Plymouth
Worcestershire
Medway
North Nottinghamshire
Southampton
East Derbyshire
Cheshire West and Chester
Belfast
Central Bedfordshire
Portsmouth
Cardiff and Vale of Glamorgan
Croydon
Gwent Valleys
North Hampshire
Blackpool
Wirral
West Essex
Oxfordshire
East Lancashire
Sefton
Mid Kent
Norwich and East Norfolk
Thurrock
Cambridgeshire CC
West Northamptonshire
Warrington
Breckland and South Norfolk
West Kent
Northumberland
Heart of Essex
North Yorkshire CC
Central Valleys
Monmouthshire and Newport
East Lothian and Midlothian
Dorset CC
West Sussex (North East)
Milton Keynes
Bridgend and Neath Port Talbot
Flintshire and Wrexham
Suffolk
Blackburn with Darwen
Peterborough
Lincolnshire
Least Travel
Shropshire CC
Swansea
Somerset
Lancaster and Wyre
Antrim and Newtownabbey
East Dunbartonshire, West Dunbartonshire and Helensburgh & Lomond
Telford and Wrekin
Darlington
Bedford
North Northamptonshire
Bournemouth and Poole
Essex Haven Gateway
Torbay
Perth & Kinross and Stirling
West Sussex (South West)
Ards and North Down
Brighton and Hove
North and North East Lincolnshire
West Lothian
Southend-on-Sea
Clackmannanshire and Fife
Falkirk
East Ayrshire and North Ayrshire mainland
Wiltshire
East Sussex CC
North and West Norfolk
York
South Ayrshire
South West Wales
Lisburn and Castlereagh
East Kent
Mid and East Antrim
Cornwall and Isles of Scilly
Armagh City, Banbridge and Craigavon
East Cumbria
West Cumbria
Gloucestershire
Gwynedd
Newry, Mourne and Down
Conwy and Denbighshire
Swindon
Isle of Anglesey
Angus and Dundee City
Mid Ulster
Powys
Causeway Coast and Glens
Derry City and Strabane
Herefordshire, County of
Dumfries & Galloway
Inverness & Nairn and Moray, Badenoch & Strathspey
Aberdeen City and Aberdeenshire
Isle of Wight
Fermanagh and Omagh
Scottish Borders
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