This data as json, CSV (advanced)
Link | Date | Country | AreaCode | Area | TotalCases ▼ |
---|---|---|---|---|---|
2020-04-02,England,E09000014,Haringey | 2020-04-02 | England | E09000014 | Haringey | 290 |
2020-04-02,England,E09000007,Camden | 2020-04-02 | England | E09000007 | Camden | 293 |
2020-04-02,England,E08000031,Wolverhampton | 2020-04-02 | England | E08000031 | Wolverhampton | 297 |
2020-04-02,England,E09000026,Redbridge | 2020-04-02 | England | E09000026 | Redbridge | 298 |
2020-04-02,England,E08000035,Leeds | 2020-04-02 | England | E08000035 | Leeds | 299 |
2020-04-02,England,E10000002,Buckinghamshire | 2020-04-02 | England | E10000002 | Buckinghamshire | 304 |
2020-04-02,England,E10000013,Gloucestershire | 2020-04-02 | England | E10000013 | Gloucestershire | 305 |
2020-04-02,England,E08000021,Newcastle upon Tyne | 2020-04-02 | England | E08000021 | Newcastle upon Tyne | 311 |
2020-04-02,England,E09000011,Greenwich | 2020-04-02 | England | E09000011 | Greenwich | 313 |
2020-04-02,England,E09000017,Hillingdon | 2020-04-02 | England | E09000017 | Hillingdon | 314 |
2020-04-02,England,E09000030,Tower Hamlets | 2020-04-02 | England | E09000030 | Tower Hamlets | 314 |
2020-04-02,England,E10000032,West Sussex | 2020-04-02 | England | E10000032 | West Sussex | 314 |
2020-04-02,England,E10000018,Leicestershire | 2020-04-02 | England | E10000018 | Leicestershire | 316 |
2020-04-02,England,E09000018,Hounslow | 2020-04-02 | England | E09000018 | Hounslow | 322 |
2020-04-02,England,E09000024,Merton | 2020-04-02 | England | E09000024 | Merton | 335 |
2020-04-02,England,E09000012,Hackney and City of London | 2020-04-02 | England | E09000012 | Hackney and City of London | 336 |
2020-04-02,England,E09000010,Enfield | 2020-04-02 | England | E09000010 | Enfield | 344 |
2020-04-02,England,E08000028,Sandwell | 2020-04-02 | England | E08000028 | Sandwell | 347 |
2020-04-02,England,E09000031,Waltham Forest | 2020-04-02 | England | E09000031 | Waltham Forest | 347 |
2020-04-02,England,E08000030,Walsall | 2020-04-02 | England | E08000030 | Walsall | 355 |
2020-04-02,England,E09000033,Westminster | 2020-04-02 | England | E09000033 | Westminster | 373 |
2020-04-02,England,E10000034,Worcestershire | 2020-04-02 | England | E10000034 | Worcestershire | 388 |
2020-04-02,England,E10000031,Warwickshire | 2020-04-02 | England | E10000031 | Warwickshire | 389 |
2020-04-02,England,E10000024,Nottinghamshire | 2020-04-02 | England | E10000024 | Nottinghamshire | 408 |
2020-04-02,England,E10000021,Northamptonshire | 2020-04-02 | England | E10000021 | Northamptonshire | 417 |
2020-04-02,England,E10000025,Oxfordshire | 2020-04-02 | England | E10000025 | Oxfordshire | 444 |
2020-04-02,England,E09000025,Newham | 2020-04-02 | England | E09000025 | Newham | 446 |
2020-04-02,England,E09000015,Harrow | 2020-04-02 | England | E09000015 | Harrow | 447 |
2020-04-02,England,E08000012,Liverpool | 2020-04-02 | England | E08000012 | Liverpool | 450 |
2020-04-02,England,E09000023,Lewisham | 2020-04-02 | England | E09000023 | Lewisham | 454 |
2020-04-02,England,E09000009,Ealing | 2020-04-02 | England | E09000009 | Ealing | 492 |
2020-04-02,England,E10000007,Derbyshire | 2020-04-02 | England | E10000007 | Derbyshire | 495 |
2020-04-02,England,E09000006,Bromley | 2020-04-02 | England | E09000006 | Bromley | 502 |
2020-04-02,England,E10000028,Staffordshire | 2020-04-02 | England | E10000028 | Staffordshire | 529 |
2020-04-02,England,E09000032,Wandsworth | 2020-04-02 | England | E09000032 | Wandsworth | 538 |
2020-04-02,England,E09000022,Lambeth | 2020-04-02 | England | E09000022 | Lambeth | 644 |
2020-04-02,England,E09000008,Croydon | 2020-04-02 | England | E09000008 | Croydon | 653 |
2020-04-02,England,E09000028,Southwark | 2020-04-02 | England | E09000028 | Southwark | 654 |
2020-04-02,England,E09000003,Barnet | 2020-04-02 | England | E09000003 | Barnet | 657 |
2020-04-02,England,E10000006,Cumbria | 2020-04-02 | England | E10000006 | Cumbria | 699 |
2020-04-02,England,E09000005,Brent | 2020-04-02 | England | E09000005 | Brent | 704 |
2020-04-02,England,E10000017,Lancashire | 2020-04-02 | England | E10000017 | Lancashire | 753 |
2020-04-02,England,E10000016,Kent | 2020-04-02 | England | E10000016 | Kent | 834 |
2020-04-02,England,E08000019,Sheffield | 2020-04-02 | England | E08000019 | Sheffield | 882 |
2020-04-02,England,E10000015,Hertfordshire | 2020-04-02 | England | E10000015 | Hertfordshire | 894 |
2020-04-02,England,E10000012,Essex | 2020-04-02 | England | E10000012 | Essex | 913 |
2020-04-02,England,E10000030,Surrey | 2020-04-02 | England | E10000030 | Surrey | 928 |
2020-04-02,England,E10000014,Hampshire | 2020-04-02 | England | E10000014 | Hampshire | 939 |
2020-04-02,England,E08000025,Birmingham | 2020-04-02 | England | E08000025 | Birmingham | 1277 |
JSON shape: default, array, newline-delimited, object
CREATE TABLE "cases" ( "Date" TEXT, "Country" TEXT, "AreaCode" TEXT, "Area" TEXT, "TotalCases" INTEGER ,PRIMARY KEY ([Date], [Country], [AreaCode], [Area]) );