## [1] "Updated on 2020-07-03 11:16:15"

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

Birmingham

Harrow and Hillingdon

Ealing

Tower Hamlets

Hackney and Newham

Wandsworth

Glasgow City

Redbridge and Waltham Forest

Merton, Kingston upon Thames and Sutton

Camden and City of London

Hounslow and Richmond upon Thames

Staffordshire CC

Lewisham and Southwark

Greater Manchester North East

Greater Manchester South East

Greater Manchester South West

Leeds

Barking & Dagenham and Havering

Brent

Warwickshire

Hertfordshire

Lambeth

Liverpool

Tyneside

South Nottinghamshire

South and West Derbyshire

Wolverhampton

Kensington & Chelsea and Hammersmith & Fulham

East Merseyside

Leicestershire CC and Rutland

Nottingham

Dudley

Bexley and Greenwich

Bath and North East Somerset, North Somerset and South Gloucestershire

Greater Manchester North West

South Hampshire

Haringey and Islington

Barnet

Mid Lancashire

Bradford

Berkshire

Sunderland

Enfield

Bristol, City of

Solihull

Calderdale and Kirklees

West Surrey

Walsall

Sheffield

Barnsley, Doncaster and Rotherham

Sandwell

North Lanarkshire

Wakefield

Stoke-on-Trent

Central Hampshire

Durham CC

Devon CC

East Riding of Yorkshire

Medium Travel

Coventry

Leicester

East Surrey

Kingston upon Hull, City of

Cheshire East

Kent Thames Gateway

South Teesside

Hartlepool and Stockton-on-Tees

Chorley and West Lancashire

Bromley

South Lanarkshire

Buckinghamshire CC

Essex Thames Gateway

Medway

Derby

North Nottinghamshire

Worcestershire

Plymouth

East Derbyshire

Southampton

Cheshire West and Chester

Croydon

Central Bedfordshire

Portsmouth

Inverclyde, East Renfrewshire and Renfrewshire

Cardiff and Vale of Glamorgan

Belfast

Gwent Valleys

West Essex

North Hampshire

Edinburgh, City of

East Lancashire

Thurrock

West Northamptonshire

Oxfordshire

Sefton

Mid Kent

Wirral

Warrington

Cambridgeshire CC

Norwich and East Norfolk

Breckland and South Norfolk

West Kent

Blackpool

Heart of Essex

Northumberland

Monmouthshire and Newport

North Yorkshire CC

Central Valleys

Dorset CC

Milton Keynes

West Sussex (North East)

Flintshire and Wrexham

Blackburn with Darwen

Bridgend and Neath Port Talbot

Suffolk

East Lothian and Midlothian

Lincolnshire

Peterborough

Least Travel

Swansea

Bedford

Somerset

Shropshire CC

Telford and Wrekin

Darlington

North Northamptonshire

Antrim and Newtownabbey

Lancaster and Wyre

Bournemouth and Poole

East Dunbartonshire, West Dunbartonshire and Helensburgh & Lomond

Essex Haven Gateway

Perth & Kinross and Stirling

Ards and North Down

North and North East Lincolnshire

West Sussex (South West)

Torbay

Brighton and Hove

Southend-on-Sea

Clackmannanshire and Fife

East Ayrshire and North Ayrshire mainland

West Lothian

Falkirk

East Sussex CC

Wiltshire

South West Wales

North and West Norfolk

Lisburn and Castlereagh

East Kent

South Ayrshire

Mid and East Antrim

York

Cornwall and Isles of Scilly

Armagh City, Banbridge and Craigavon

East Cumbria

West Cumbria

Gloucestershire

Newry, Mourne and Down

Gwynedd

Conwy and Denbighshire

Angus and Dundee City

Swindon

Mid Ulster

Isle of Anglesey

Causeway Coast and Glens

Powys

Derry City and Strabane

Herefordshire, County of

Fermanagh and Omagh

Dumfries & Galloway

Inverness & Nairn and Moray, Badenoch & Strathspey

Aberdeen City and Aberdeenshire

Caithness & Sutherland and Ross & Cromarty

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

West Midlands

Yorkshire and The Humber

Least Travel

North West

South West

North East