## [1] "Updated on 2020-06-08 19:07:01"

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 anf are expected.

UK Summary

City Specific Analysis

Most Travel

Manchester

Birmingham

Harrow and Hillingdon

Ealing

Redbridge and Waltham Forest

Hackney and Newham

Tower Hamlets

Hounslow and Richmond upon Thames

Merton, Kingston upon Thames and Sutton

Wandsworth

Staffordshire CC

Camden and City of London

Greater Manchester North East

Glasgow City

Lewisham and Southwark

Barking & Dagenham and Havering

Greater Manchester South West

Greater Manchester South East

Brent

Warwickshire

Leicestershire CC and Rutland

Hertfordshire

Leeds

Lambeth

South Nottinghamshire

Liverpool

Wolverhampton

South and West Derbyshire

East Merseyside

Kensington & Chelsea and Hammersmith & Fulham

Bexley and Greenwich

Dudley

Nottingham

Tyneside

Bath and North East Somerset, North Somerset and South Gloucestershire

Enfield

Greater Manchester North West

South Hampshire

Haringey and Islington

Bristol, City of

Berkshire

Barnet

Mid Lancashire

West Surrey

Sandwell

Walsall

Bradford

Calderdale and Kirklees

Solihull

Leicester

Sheffield

Barnsley, Doncaster and Rotherham

East Riding of Yorkshire

Sunderland

North Lanarkshire

Central Hampshire

Wakefield

Devon CC

Stoke-on-Trent

Medium Travel

Coventry

Kingston upon Hull, City of

Durham CC

East Surrey

Buckinghamshire CC

Derby

South Teesside

Kent Thames Gateway

Bromley

Chorley and West Lancashire

Hartlepool and Stockton-on-Tees

Cheshire East

Plymouth

Medway

Essex Thames Gateway

Southampton

North Nottinghamshire

South Lanarkshire

Croydon

Worcestershire

Portsmouth

East Derbyshire

Cheshire West and Chester

West Essex

Belfast

Thurrock

Sefton

Central Bedfordshire

Inverclyde, East Renfrewshire and Renfrewshire

East Lancashire

Gwent Valleys

West Northamptonshire

Cambridgeshire CC

North Hampshire

Mid Kent

Cardiff and Vale of Glamorgan

Blackpool

Oxfordshire

West Kent

Edinburgh, City of

Breckland and South Norfolk

Wirral

Norwich and East Norfolk

Warrington

Northumberland

Heart of Essex

Dorset CC

Monmouthshire and Newport

Blackburn with Darwen

Central Valleys

West Sussex (North East)

North Yorkshire CC

Bridgend and Neath Port Talbot

Peterborough

Flintshire and Wrexham

Milton Keynes

East Lothian and Midlothian

Suffolk

Lincolnshire

Least Travel

Shropshire CC

Swansea

Telford and Wrekin

Bedford

Bournemouth and Poole

Darlington

North Northamptonshire

Somerset

East Dunbartonshire, West Dunbartonshire and Helensburgh & Lomond

Antrim and Newtownabbey

Lancaster and Wyre

Ards and North Down

Essex Haven Gateway

Perth & Kinross and Stirling

West Sussex (South West)

North and North East Lincolnshire

Torbay

Southend-on-Sea

Brighton and Hove

Clackmannanshire and Fife

North and West Norfolk

East Sussex CC

West Lothian

East Ayrshire and North Ayrshire mainland

South West Wales

Mid and East Antrim

Lisburn and Castlereagh

Wiltshire

Falkirk

Cornwall and Isles of Scilly

South Ayrshire

East Kent

Armagh City, Banbridge and Craigavon

East Cumbria

York

West Cumbria

Gloucestershire

Newry, Mourne and Down

Swindon

Gwynedd

Angus and Dundee City

Conwy and Denbighshire

Isle of Anglesey

Powys

Mid Ulster

Causeway Coast and Glens

Derry City and Strabane

Herefordshire, County of

Dumfries & Galloway

Fermanagh and Omagh

Aberdeen City and Aberdeenshire

Inverness & Nairn and Moray, Badenoch & Strathspey

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