## [1] "Updated on 2020-08-18 17:56:03"
Reading Guide
Data
All figures in this report are generated using movement data generated by Facebook. These data represent people who use Facebook in this region 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 preceeding 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 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 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 traveled 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
- The uptick in movement has generally leveled off. 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
Wandsworth
Tower Hamlets
Lewisham and Southwark
Camden and City of London
Ealing
Hackney and Newham
Harrow and Hillingdon
Redbridge and Waltham Forest
Birmingham
Merton, Kingston upon Thames and Sutton
Glasgow City
Hounslow and Richmond upon Thames
Brent
Lambeth
Liverpool
Barking & Dagenham and Havering
Staffordshire CC
Kensington & Chelsea and Hammersmith & Fulham
Greater Manchester North East
Greater Manchester South East
Bexley and Greenwich
Haringey and Islington
Greater Manchester South West
South Nottinghamshire
Leeds
East Merseyside
Nottingham
Enfield
Bath and North East Somerset, North Somerset and South Gloucestershire
Hertfordshire
Warwickshire
Barnet
Berkshire
Tyneside
South and West Derbyshire
Mid Lancashire
Bristol, City of
Wolverhampton
Leicestershire CC and Rutland
Dudley
South Hampshire
Solihull
West Surrey
Walsall
North Lanarkshire
Sandwell
Greater Manchester North West
Bromley
Sunderland
Devon CC
Stoke-on-Trent
East Riding of Yorkshire
East Surrey
Bradford
Sheffield
Blackpool
Leicester
Croydon
Medium Travel
South Lanarkshire
Kingston upon Hull, City of
Calderdale and Kirklees
Central Hampshire
Kent Thames Gateway
Barnsley, Doncaster and Rotherham
Durham CC
Coventry
South Teesside
Plymouth
Cheshire East
Buckinghamshire CC
Inverclyde, East Renfrewshire and Renfrewshire
Edinburgh, City of
Wirral
Medway
Wakefield
Portsmouth
Hartlepool and Stockton-on-Tees
Chorley and West Lancashire
Derby
Sefton
Essex Thames Gateway
Cardiff and Vale of Glamorgan
Southampton
Worcestershire
Belfast
West Essex
Oxfordshire
Thurrock
Norwich and East Norfolk
Cheshire West and Chester
Gwent Valleys
Breckland and South Norfolk
North Hampshire
East Lothian and Midlothian
Central Bedfordshire
Mid Kent
East Derbyshire
North Nottinghamshire
Northumberland
West Sussex (North East)
Warrington
Cambridgeshire CC
Central Valleys
East Lancashire
West Kent
Bridgend and Neath Port Talbot
West Northamptonshire
Milton Keynes
Flintshire and Wrexham
Monmouthshire and Newport
Dorset CC
Heart of Essex
Blackburn with Darwen
North Yorkshire CC
Lancaster and Wyre
Lincolnshire
Swansea
Least Travel
East Dunbartonshire, West Dunbartonshire and Helensburgh & Lomond
Peterborough
Shropshire CC
Ards and North Down
Clackmannanshire and Fife
Brighton and Hove
Suffolk
Antrim and Newtownabbey
Perth & Kinross and Stirling
Telford and Wrekin
Torbay
Bedford
Somerset
Bournemouth and Poole
Southend-on-Sea
West Sussex (South West)
Darlington
North and North East Lincolnshire
North Northamptonshire
Essex Haven Gateway
West Lothian
East Sussex CC
South West Wales
East Ayrshire and North Ayrshire mainland
South Ayrshire
Falkirk
North and West Norfolk
Cornwall and Isles of Scilly
Lisburn and Castlereagh
York
East Kent
Wiltshire
Mid and East Antrim
Armagh City, Banbridge and Craigavon
East Cumbria
Conwy and Denbighshire
West Cumbria
Gwynedd
Newry, Mourne and Down
Isle of Anglesey
Derry City and Strabane
Causeway Coast and Glens
Angus and Dundee City
Gloucestershire
Powys
Swindon
Isle of Wight
Scottish Borders
Aberdeen City and Aberdeenshire
Inverness & Nairn and Moray, Badenoch & Strathspey
Caithness & Sutherland and Ross & Cromarty
Dumfries & Galloway
Fermanagh and Omagh
Herefordshire, County of
Lochaber, Skye & Lochalsh, Arran & Cumbrae and Argyll & Bute
Mid Ulster
Na h-Eileanan Siar (Western Isles)
Orkney Islands
Shetland Islands
Regional Specific Analysis
Most Travel
London
East of England
South East
Medium Travel
East Midlands
Yorkshire and The Humber
West Midlands
Least Travel
North West
South West
North East