## [1] "Updated on 2020-07-09 14:14:53"
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

Harrow and Hillingdon

Wandsworth

Tower Hamlets

Camden and City of London

Ealing

Glasgow City

Merton, Kingston upon Thames and Sutton

Redbridge and Waltham Forest

Hackney and Newham

Hounslow and Richmond upon Thames

Staffordshire CC

Lewisham and Southwark

Greater Manchester North East

Greater Manchester South East

Barking & Dagenham and Havering

Greater Manchester South West

Leeds

Brent

Hertfordshire

Warwickshire

Tyneside

Lambeth

Kensington & Chelsea and Hammersmith & Fulham

South Nottinghamshire

Liverpool

South and West Derbyshire

Wolverhampton

East Merseyside

Nottingham

Dudley

South Hampshire

Bexley and Greenwich

Bath and North East Somerset, North Somerset and South Gloucestershire

Leicestershire CC and Rutland

Greater Manchester North West

Barnet

Berkshire

Haringey and Islington

Solihull

Sunderland

West Surrey

Mid Lancashire

Enfield

Calderdale and Kirklees

Bradford

Bristol, City of

Walsall

Sheffield

Barnsley, Doncaster and Rotherham

Durham CC

Sandwell

North Lanarkshire

Wakefield

Central Hampshire

Devon CC

Stoke-on-Trent

East Riding of Yorkshire

Medium Travel
Coventry

East Surrey

Kingston upon Hull, City of

Kent Thames Gateway

South Teesside

Leicester

Hartlepool and Stockton-on-Tees

Cheshire East

Bromley

Buckinghamshire CC

Medway

Chorley and West Lancashire

Essex Thames Gateway

South Lanarkshire

Derby

North Nottinghamshire

Plymouth

Worcestershire

Southampton

East Derbyshire

Croydon

Cheshire West and Chester

Portsmouth

Central Bedfordshire

Inverclyde, East Renfrewshire and Renfrewshire

Cardiff and Vale of Glamorgan

Gwent Valleys

Edinburgh, City of

Belfast

North Hampshire

West Essex

Oxfordshire

East Lancashire

Mid Kent

West Northamptonshire

Thurrock

West Kent

Warrington

Wirral

Sefton

Norwich and East Norfolk

Cambridgeshire CC

Blackpool

Northumberland

Breckland and South Norfolk

Heart of Essex

Dorset CC

Central Valleys

Monmouthshire and Newport

North Yorkshire CC

West Sussex (North East)

Milton Keynes

Bridgend and Neath Port Talbot

Flintshire and Wrexham

East Lothian and Midlothian

Blackburn with Darwen

Suffolk

Lincolnshire

Peterborough

Least Travel
Somerset

Swansea

Darlington

Shropshire CC

Bedford

Lancaster and Wyre

Antrim and Newtownabbey

North Northamptonshire

Bournemouth and Poole

Telford and Wrekin

East Dunbartonshire, West Dunbartonshire and Helensburgh & Lomond

Essex Haven Gateway

Brighton and Hove

West Sussex (South West)

Ards and North Down

North and North East Lincolnshire

Perth & Kinross and Stirling

Southend-on-Sea

Torbay

Clackmannanshire and Fife

West Lothian

East Ayrshire and North Ayrshire mainland

East Sussex CC

Wiltshire

Falkirk

North and West Norfolk

Lisburn and Castlereagh

East Kent

York

South West Wales

Mid and East Antrim

South Ayrshire

Armagh City, Banbridge and Craigavon
