## [1] "Updated on 2020-07-28 16:46:00"

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:

  1. The starting point of each line
  2. The ending point of each line
  3. 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)
  4. The number of people who traveled along this line in both directions for a given time period.
  5. The length of the line in Euclidean distance (as the crow flies, not through the existing travel network).
  6. 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.

Figures - UK Level

Percent Change in Travel Map - The percent change in travel within and between counties in the UK. It is important to note here that some counties show up in one map and not the other. As people stop moving, and especially if they don’t leave their homes, they no longer contribute to FB movement data so we are unable to capture any information from them.

Percent change in total number of trips compared to baseline - The total number of trips originating and ending in the region for which we have data, minus the average number of trips originating from the same area for the 45 days preceding the start of data collection.

Total distance travelled - The total distance of trips originating and ending in the region for which we have data.

Figures - County Level

Local Travel Network - A map of the region for which we have data showing the top locations of travel to and from that county.

Percent change in total number of trips compared to baseline - The total number of trips originating and ending in the region for which we have data minus the average number of trips originating from the same area for the 45 days preceding the start of data collection.

Total distance travelled - The total distance of trips originating and ending in the region for which we have data.

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

Wandsworth

Tower Hamlets

Redbridge and Waltham Forest

Camden and City of London

Lewisham and Southwark

Hackney and Newham

Birmingham

Ealing

Harrow and Hillingdon

Merton, Kingston upon Thames and Sutton

Glasgow City

Hounslow and Richmond upon Thames

Lambeth

Barking & Dagenham and Havering

Brent

Liverpool

Staffordshire CC

Greater Manchester North East

Greater Manchester South East

Kensington & Chelsea and Hammersmith & Fulham

Bexley and Greenwich

Haringey and Islington

Greater Manchester South West

South Nottinghamshire

Leeds

Enfield

Nottingham

East Merseyside

Hertfordshire

Warwickshire

Barnet

South and West Derbyshire

Berkshire

Bath and North East Somerset, North Somerset and South Gloucestershire

Tyneside

Wolverhampton

Solihull

Dudley

Bristol, City of

Mid Lancashire

South Hampshire

Walsall

Leicestershire CC and Rutland

Greater Manchester North West

Sandwell

West Surrey

Sunderland

Bromley

North Lanarkshire

Bradford

Stoke-on-Trent

East Riding of Yorkshire

Devon CC

Sheffield

Croydon

Kingston upon Hull, City of

Calderdale and Kirklees

Barnsley, Doncaster and Rotherham

Medium Travel

South Teesside

Coventry

Central Hampshire

East Surrey

Blackpool

Kent Thames Gateway

Durham CC

Medway

Wakefield

South Lanarkshire

Leicester

Cheshire East

Buckinghamshire CC

Hartlepool and Stockton-on-Tees

Inverclyde, East Renfrewshire and Renfrewshire

Plymouth

Portsmouth

Edinburgh, City of

Derby

Wirral

Sefton

Chorley and West Lancashire

Essex Thames Gateway

Southampton

West Essex

Worcestershire

Cheshire West and Chester

Belfast

Thurrock

Oxfordshire

Norwich and East Norfolk

Breckland and South Norfolk

North Nottinghamshire

East Derbyshire

North Hampshire

East Lothian and Midlothian

Central Bedfordshire

Mid Kent

Cambridgeshire CC

Cardiff and Vale of Glamorgan

Warrington

Gwent Valleys

Northumberland

West Kent

East Lancashire

West Sussex (North East)

Milton Keynes

Flintshire and Wrexham

Dorset CC

West Northamptonshire

Heart of Essex

Monmouthshire and Newport

Blackburn with Darwen

North Yorkshire CC

Lincolnshire

Bridgend and Neath Port Talbot

Lancaster and Wyre

Central Valleys

East Dunbartonshire, West Dunbartonshire and Helensburgh & Lomond

Least Travel

Peterborough

Suffolk

Ards and North Down

Antrim and Newtownabbey

Shropshire CC

Brighton and Hove

Swansea

Bournemouth and Poole

Perth & Kinross and Stirling

Telford and Wrekin

Torbay

Bedford

Clackmannanshire and Fife

Southend-on-Sea

Somerset

North and North East Lincolnshire

Darlington

West Sussex (South West)

Essex Haven Gateway

North Northamptonshire

West Lothian

East Sussex CC

York

North and West Norfolk

Falkirk

East Ayrshire and North Ayrshire mainland

South West Wales

Cornwall and Isles of Scilly

East Kent

South Ayrshire

Lisburn and Castlereagh

Mid and East Antrim

Armagh City, Banbridge and Craigavon

West Cumbria

East Cumbria

Wiltshire

Conwy and Denbighshire

Newry, Mourne and Down

Gwynedd

Isle of Anglesey

Gloucestershire

Angus and Dundee City

Causeway Coast and Glens

Swindon

Mid Ulster

Derry City and Strabane

Powys

Aberdeen City and Aberdeenshire

Caithness & Sutherland and Ross & Cromarty

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

Yorkshire and The Humber

West Midlands

Least Travel

North West

South West

North East