## [1] "Updated on 2020-06-10 19:06:45"

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

Redbridge and Waltham Forest

Harrow and Hillingdon

Ealing

Hackney and Newham

Wandsworth

Lewisham and Southwark

Birmingham

Tower Hamlets

Merton, Kingston upon Thames and Sutton

Hounslow and Richmond upon Thames

Barking & Dagenham and Havering

Camden and City of London

Glasgow City

Lambeth

Brent

Haringey and Islington

Greater Manchester North East

Bexley and Greenwich

Enfield

Staffordshire CC

Kensington & Chelsea and Hammersmith & Fulham

Greater Manchester South East

Liverpool

Greater Manchester South West

East Merseyside

Barnet

Hertfordshire

Bath and North East Somerset, North Somerset and South Gloucestershire

Warwickshire

South Nottinghamshire

Leicestershire CC and Rutland

Bristol, City of

Nottingham

Sandwell

Berkshire

South Hampshire

Wolverhampton

Solihull

South and West Derbyshire

Dudley

West Surrey

Leeds

Walsall

Mid Lancashire

North Lanarkshire

East Riding of Yorkshire

Bromley

Croydon

Leicester

Stoke-on-Trent

Kingston upon Hull, City of

Greater Manchester North West

Devon CC

East Surrey

Central Hampshire

Bradford

Buckinghamshire CC

South Lanarkshire

Medium Travel

Coventry

Sunderland

Plymouth

Tyneside

Medway

Inverclyde, East Renfrewshire and Renfrewshire

Kent Thames Gateway

Calderdale and Kirklees

South Teesside

Sheffield

Portsmouth

Chorley and West Lancashire

Cheshire East

Wakefield

Barnsley, Doncaster and Rotherham

Sefton

Hartlepool and Stockton-on-Tees

Thurrock

Blackpool

Derby

Worcestershire

West Essex

Southampton

Essex Thames Gateway

Oxfordshire

Belfast

North Hampshire

Edinburgh, City of

Durham CC

Cheshire West and Chester

Mid Kent

Gwent Valleys

Norwich and East Norfolk

Breckland and South Norfolk

West Kent

East Lancashire

Warrington

Cambridgeshire CC

East Lothian and Midlothian

East Derbyshire

North Nottinghamshire

Dorset CC

Wirral

Cardiff and Vale of Glamorgan

West Sussex (North East)

Blackburn with Darwen

Central Bedfordshire

West Northamptonshire

Monmouthshire and Newport

Bridgend and Neath Port Talbot

Milton Keynes

Central Valleys

Flintshire and Wrexham

Lincolnshire

East Dunbartonshire, West Dunbartonshire and Helensburgh & Lomond

Peterborough

Lancaster and Wyre

Heart of Essex

Ards and North Down

Least Travel

Northumberland

Bournemouth and Poole

Swansea

North Yorkshire CC

Antrim and Newtownabbey

Bedford

Suffolk

Somerset

Shropshire CC

Southend-on-Sea

Perth & Kinross and Stirling

Clackmannanshire and Fife

Brighton and Hove

Telford and Wrekin

North and North East Lincolnshire

Torbay

West Sussex (South West)

North Northamptonshire

Darlington

Essex Haven Gateway

East Sussex CC

North and West Norfolk

South West Wales

Lisburn and Castlereagh

Cornwall and Isles of Scilly

West Lothian

East Ayrshire and North Ayrshire mainland

East Kent

South Ayrshire

Mid and East Antrim

Falkirk

East Cumbria

West Cumbria

Wiltshire

York

Conwy and Denbighshire

Armagh City, Banbridge and Craigavon

Gwynedd

Isle of Anglesey

Angus and Dundee City

Gloucestershire

Swindon

Mid Ulster

Newry, Mourne and Down

Causeway Coast and Glens

Powys

Aberdeen City and Aberdeenshire

Caithness & Sutherland and Ross & Cromarty

Derry City and Strabane

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

West Midlands

Yorkshire and The Humber

Least Travel

North West

South West

North East