## [1] "Updated on 2020-06-08 20:15:02"

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

Ealing

Harrow and Hillingdon

Redbridge and Waltham Forest

Hackney and Newham

Merton, Kingston upon Thames and Sutton

Tower Hamlets

Hounslow and Richmond upon Thames

Staffordshire CC

Wandsworth

Glasgow City

Greater Manchester North East

Camden and City of London

Lewisham and Southwark

Barking & Dagenham and Havering

Greater Manchester South West

Greater Manchester South East

Brent

Leicestershire CC and Rutland

Warwickshire

Hertfordshire

Leeds

Lambeth

East Merseyside

South Nottinghamshire

Wolverhampton

Liverpool

South and West Derbyshire

Nottingham

Dudley

Bexley and Greenwich

Kensington & Chelsea and Hammersmith & Fulham

Bath and North East Somerset, North Somerset and South Gloucestershire

Enfield

Haringey and Islington

Greater Manchester North West

Tyneside

South Hampshire

Bristol, City of

Sandwell

Mid Lancashire

Walsall

Barnet

Berkshire

West Surrey

Leicester

Bradford

Solihull

Calderdale and Kirklees

East Riding of Yorkshire

Sheffield

Stoke-on-Trent

Barnsley, Doncaster and Rotherham

Sunderland

North Lanarkshire

Wakefield

Kingston upon Hull, City of

Central Hampshire

Medium Travel

Coventry

East Surrey

Devon CC

South Teesside

Kent Thames Gateway

Hartlepool and Stockton-on-Tees

Durham CC

Bromley

Derby

Chorley and West Lancashire

Buckinghamshire CC

South Lanarkshire

Cheshire East

Croydon

Medway

Essex Thames Gateway

North Nottinghamshire

Southampton

Plymouth

Portsmouth

East Derbyshire

Thurrock

Worcestershire

Gwent Valleys

West Essex

Inverclyde, East Renfrewshire and Renfrewshire

Cheshire West and Chester

Central Bedfordshire

Sefton

Cambridgeshire CC

Belfast

East Lancashire

Cardiff and Vale of Glamorgan

North Hampshire

Blackpool

West Northamptonshire

Oxfordshire

Warrington

Mid Kent

Edinburgh, City of

West Kent

Breckland and South Norfolk

Norwich and East Norfolk

Wirral

Monmouthshire and Newport

Central Valleys

Dorset CC

Blackburn with Darwen

Northumberland

West Sussex (North East)

North Yorkshire CC

Bridgend and Neath Port Talbot

Heart of Essex

East Lothian and Midlothian

Peterborough

Flintshire and Wrexham

Milton Keynes

Suffolk

Lincolnshire

Least Travel

Bedford

Shropshire CC

Swansea

Darlington

Lancaster and Wyre

Telford and Wrekin

Bournemouth and Poole

Antrim and Newtownabbey

Somerset

North Northamptonshire

East Dunbartonshire, West Dunbartonshire and Helensburgh & Lomond

Ards and North Down

Perth & Kinross and Stirling

North and North East Lincolnshire

Essex Haven Gateway

Southend-on-Sea

Clackmannanshire and Fife

West Sussex (South West)

Brighton and Hove

Torbay

South West Wales

West Lothian

North and West Norfolk

East Sussex CC

East Ayrshire and North Ayrshire mainland

Lisburn and Castlereagh

Cornwall and Isles of Scilly

Falkirk

Wiltshire

South Ayrshire

East Kent

Mid and East Antrim

Armagh City, Banbridge and Craigavon

East Cumbria

York

West Cumbria

Gloucestershire

Gwynedd

Isle of Anglesey

Angus and Dundee City

Mid Ulster

Conwy and Denbighshire

Swindon

Newry, Mourne and Down

Causeway Coast and Glens

Powys

Derry City and Strabane

Inverness & Nairn and Moray, Badenoch & Strathspey

Aberdeen City and Aberdeenshire

Dumfries & Galloway

Caithness & Sutherland and Ross & Cromarty

Herefordshire, County of

Fermanagh and Omagh

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