## [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
