## [1] "Updated on 2020-08-02 10:17:17"

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

Glasgow City

Birmingham

Camden and City of London

Wandsworth

Tower Hamlets

Ealing

Harrow and Hillingdon

Merton, Kingston upon Thames and Sutton

Hackney and Newham

Lewisham and Southwark

Redbridge and Waltham Forest

Hounslow and Richmond upon Thames

Staffordshire CC

Greater Manchester North East

Greater Manchester South East

Leeds

Greater Manchester South West

Barking & Dagenham and Havering

Brent

Hertfordshire

Warwickshire

Liverpool

Tyneside

Lambeth

Kensington & Chelsea and Hammersmith & Fulham

South Nottinghamshire

South and West Derbyshire

Wolverhampton

East Merseyside

Bath and North East Somerset, North Somerset and South Gloucestershire

Nottingham

Leicestershire CC and Rutland

Greater Manchester North West

Bexley and Greenwich

Dudley

Mid Lancashire

Berkshire

South Hampshire

West Surrey

Bristol, City of

Bradford

Calderdale and Kirklees

Haringey and Islington

Walsall

North Lanarkshire

Sheffield

Enfield

Barnet

Barnsley, Doncaster and Rotherham

Sunderland

Solihull

Devon CC

Wakefield

Sandwell

Central Hampshire

Durham CC

Stoke-on-Trent

East Riding of Yorkshire

Medium Travel

East Surrey

Coventry

Leicester

South Lanarkshire

Buckinghamshire CC

Cheshire East

South Teesside

Kingston upon Hull, City of

Hartlepool and Stockton-on-Tees

Chorley and West Lancashire

Kent Thames Gateway

Bromley

Edinburgh, City of

Essex Thames Gateway

Derby

Inverclyde, East Renfrewshire and Renfrewshire

Plymouth

Worcestershire

Medway

North Nottinghamshire

Southampton

East Derbyshire

Cheshire West and Chester

Belfast

Central Bedfordshire

Portsmouth

Cardiff and Vale of Glamorgan

Croydon

Gwent Valleys

North Hampshire

Blackpool

Wirral

West Essex

Oxfordshire

East Lancashire

Sefton

Mid Kent

Norwich and East Norfolk

Thurrock

Cambridgeshire CC

West Northamptonshire

Warrington

Breckland and South Norfolk

West Kent

Northumberland

Heart of Essex

North Yorkshire CC

Central Valleys

Monmouthshire and Newport

East Lothian and Midlothian

Dorset CC

West Sussex (North East)

Milton Keynes

Bridgend and Neath Port Talbot

Flintshire and Wrexham

Suffolk

Blackburn with Darwen

Peterborough

Lincolnshire

Least Travel

Shropshire CC

Swansea

Somerset

Lancaster and Wyre

Antrim and Newtownabbey

East Dunbartonshire, West Dunbartonshire and Helensburgh & Lomond

Telford and Wrekin

Darlington

Bedford

North Northamptonshire

Bournemouth and Poole

Essex Haven Gateway

Torbay

Perth & Kinross and Stirling

West Sussex (South West)

Ards and North Down

Brighton and Hove

North and North East Lincolnshire

West Lothian

Southend-on-Sea

Clackmannanshire and Fife

Falkirk

East Ayrshire and North Ayrshire mainland

Wiltshire

East Sussex CC

North and West Norfolk

York

South Ayrshire

South West Wales

Lisburn and Castlereagh

East Kent

Mid and East Antrim

Cornwall and Isles of Scilly

Armagh City, Banbridge and Craigavon

East Cumbria

West Cumbria

Gloucestershire

Gwynedd

Newry, Mourne and Down

Conwy and Denbighshire

Swindon

Isle of Anglesey

Angus and Dundee City

Mid Ulster

Powys

Causeway Coast and Glens

Derry City and Strabane

Herefordshire, County of

Dumfries & Galloway

Inverness & Nairn and Moray, Badenoch & Strathspey

Aberdeen City and Aberdeenshire

Isle of Wight

Fermanagh and Omagh

Scottish Borders

Caithness & Sutherland and Ross & Cromarty

Lochaber, Skye & Lochalsh, Arran & Cumbrae and Argyll & Bute

Na h-Eileanan Siar (Western Isles)

Orkney Islands

Shetland Islands

Regional Specific Analysis

Most Travel

London

South East

East of England

Medium Travel

East Midlands

West Midlands

Yorkshire and The Humber

Least Travel

North West

South West

North East