London: Majority Sorted Seats

London Prediction

Party	2019 Votes	2019 Seats	Pred Votes	Gains	Losses	Net Change	Pred Seats
CON	32.0%	22	17.5%	0	19	-19	3
LAB	48.1%	50	54.0%	16	0	+16	66
LIB	14.9%	3	9.2%	3	0	+3	6
Reform	1.4%	0	8.9%	0	0	+0	0
Green	3.1%	0	8.0%	0	0	+0	0
Other	0.5%	0	2.3%	0	0	+0	0

This page shows all the seats in London sorted by the predicted difference between Labour and Conservative votes. The safest Labour seat, Peckham, is at the top, and the strongest Conservative seat, Old Bexley and Sidcup, is at the bottom. The first two columns, 'LAB Seats' and 'CON Seats', show how many seats each big party wins if they won that seat and all easier seats, assuming the other smaller parties' votes stay constant. Either big party needs 326 seats to have a majority. So Labour needs to win all the seats down to Croydon South (prediction: LAB), and the Conservatives need to win all their seats up to Beckenham and Penge (prediction: LAB).

The seats between those two limits are the key battleground for the next general election.

More information and a full description of the majority-sorted seat list is here.

List of London seats with predictions

LAB Seats	CON Seats	Seat	MP at 2019	Electorate	Turn Out%	CON %	LAB %	LIB %	Reform %	Green %	MIN %	OTH %	2019 Win	Pred Win
6	552	Peckham	Harriet Harman	71,491	63.4	4.3	75.1	3.5	5.9	9.1	0.0	2.1	LAB	LAB
7	551	Lewisham North	Vicky Foxcroft	75,020	68.3	4.8	75.5	3.4	5.3	9.0	0.0	2.0	LAB	LAB
8	550	Hackney South and Shoreditch	Meg Hillier	80,391	61.0	4.0	74.3	3.2	5.0	11.3	0.0	2.1	LAB	LAB
9	549	Tottenham	David Lammy	75,561	61.8	4.1	73.7	3.0	6.0	10.9	0.0	2.3	LAB	LAB
10	548	Islington North	Jeremy Corbyn	75,162	71.6	4.3	70.7	4.6	5.2	13.1	0.0	2.2	LAB	LAB
11	547	Lewisham West and East Dulwich	Ellie Reeves	70,348	68.4	6.8	73.2	3.3	6.1	8.6	0.0	2.0	LAB	LAB
13	545	Walthamstow	Stella Creasy	70,267	68.8	5.7	71.6	3.4	6.6	10.3	0.0	2.5	LAB	LAB
16	542	Hackney North and Stoke Newington	Diane Abbott	80,736	61.4	4.5	70.1	3.6	5.7	13.5	0.0	2.5	LAB	LAB
17	541	Dulwich and West Norwood	Helen Hayes	74,932	68.9	6.8	71.3	1.9	5.1	12.9	0.0	1.9	LAB	LAB
18	540	Vauxhall and Camberwell Green	Florence Eshalomi	72,629	63.4	6.0	70.3	5.4	6.5	9.4	0.0	2.4	LAB	LAB
20	538	Lewisham East	Janet Daby	69,956	66.6	7.9	71.0	3.2	7.9	7.7	0.0	2.2	LAB	LAB
21	537	Clapham and Brixton Hill	Bell Ribeiro-Addy	79,342	65.2	7.0	69.4	5.7	6.0	9.4	0.0	2.4	LAB	LAB
22	536	Holborn and St Pancras	Keir Starmer	72,190	66.0	6.4	68.4	4.3	6.6	11.7	0.0	2.6	LAB	LAB
24	534	Islington South and Finsbury	Emily Thornberry	77,383	67.2	6.9	68.4	5.4	7.2	9.6	0.0	2.6	LAB	LAB
25	533	West Ham and Beckton	Lyn Brown	70,621	61.6	7.0	67.9	3.1	8.4	10.6	0.0	3.0	LAB	LAB
29	529	Greenwich and Woolwich	Matthew Pennycook	69,900	66.4	9.5	67.2	4.1	7.6	9.2	0.0	2.4	LAB	LAB
31	527	Croydon West	Steve Reed	70,732	64.4	9.0	65.7	3.2	7.7	12.1	0.0	2.4	LAB	LAB
32	526	Queen's Park and Maida Vale	Karen Buck	77,359	64.6	8.1	64.6	5.0	7.8	11.5	0.0	3.0	LAB	LAB
33	525	Streatham and Croydon North	Unknown (new seat)	78,082	64.9	8.4	64.7	5.9	7.5	10.9	0.0	2.6	LAB	LAB
39	519	Stratford and Bow	Unknown (new seat)	73,601	64.1	6.6	61.8	4.7	7.0	16.9	0.0	3.0	LAB	LAB
43	515	Leyton and Wanstead	John Cryer	71,085	68.8	10.6	63.8	4.4	8.0	10.5	0.0	2.7	LAB	LAB
45	513	East Ham	Stephen Timms	70,899	61.8	7.9	60.7	3.5	7.8	16.4	0.0	3.7	LAB	LAB
48	510	Bethnal Green and Stepney	Rushanara Ali	76,294	68.4	5.3	57.7	8.0	8.1	16.4	0.0	4.5	LAB	LAB
53	505	Hornsey and Friern Barnet	Catherine West	69,277	72.7	7.9	58.7	17.4	6.6	7.4	0.0	2.1	LAB	LAB
57	501	Mitcham and Morden	Siobhain McDonagh	76,805	66.4	14.5	63.5	4.3	9.4	6.5	0.0	1.9	LAB	LAB
60	498	Erith and Thamesmead	Abena Oppong-Asare	73,353	64.3	14.9	63.4	2.7	10.8	6.6	0.0	1.6	LAB	LAB
61	497	Ealing Southall	Virendra Sharma	75,523	66.3	11.8	60.0	3.4	8.2	13.5	0.0	3.0	LAB	LAB
62	496	Tooting	Rosena Allin-Khan	76,953	76.0	15.3	63.2	5.1	7.1	7.6	0.0	1.7	LAB	LAB
63	495	Brent East	Dawn Butler	74,720	59.9	11.4	59.3	4.7	9.0	12.7	0.0	3.0	LAB	LAB
67	491	Poplar and Limehouse	Apsana Begum	74,951	66.7	8.3	55.5	8.3	9.2	14.6	0.0	4.3	LAB	LAB
70	488	Southgate and Wood Green	Bambos Charalambous	75,799	71.7	15.1	61.1	5.5	8.8	7.4	0.0	2.1	LAB	LAB
77	481	Barking	Margaret Hodge	71,151	57.1	14.4	59.4	3.2	12.7	8.1	0.0	2.2	LAB	LAB
85	473	Hammersmith and Chiswick	Andy Slaughter	75,119	69.0	15.8	60.1	5.9	8.5	7.6	0.0	2.0	LAB	LAB
87	471	Ealing Central and Acton	Rupa Huq	76,249	72.2	13.8	57.9	8.8	8.8	8.3	0.0	2.4	LAB	LAB
97	461	Battersea	Marsha De Cordova	71,971	75.6	19.2	60.9	5.1	6.8	6.1	0.0	1.8	LAB	LAB
101	457	Ilford South	Sam Tarry	74,166	62.8	12.5	53.6	3.2	10.0	15.8	0.0	4.9	LAB	LAB
105	453	Edmonton and Winchmore Hill	Kate Osamor	75,656	64.3	16.9	57.7	4.6	10.5	8.1	0.0	2.2	LAB	LAB
111	447	Ealing North	James Murray	73,069	66.6	17.9	58.4	3.9	9.6	8.4	0.0	1.9	LAB	LAB
114	444	Bermondsey and Old Southwark	Neil Coyle	71,073	62.9	7.9	48.0	27.4	7.7	6.7	0.0	2.3	LAB	LAB
117	441	Enfield North	Feryal Clark	77,308	65.5	19.0	58.8	3.7	9.7	6.7	0.0	2.1	LAB	LAB
135	423	Hampstead and Highgate	Tulip Siddiq	77,786	67.2	11.5	49.9	19.0	7.7	9.5	0.0	2.4	LAB	LAB
152	406	Putney	Fleur Anderson	72,934	76.8	20.8	57.1	6.3	7.5	6.3	0.0	2.0	LAB	LAB
155	403	Hayes and Harlington	John McDonnell	72,327	60.8	20.8	57.0	2.1	10.2	7.8	0.0	2.1	LAB	LAB
163	395	Brentford and Isleworth	Ruth Cadbury	75,746	68.0	18.9	54.3	5.7	10.2	8.7	0.0	2.2	LAB	LAB
182	376	Harrow West	Gareth Thomas	74,387	66.3	21.1	54.2	3.8	9.8	9.1	0.0	2.1	LAB	LAB
185	373	Croydon East	Sarah Jones	75,259	66.8	22.6	55.4	4.1	10.2	5.6	0.0	2.1	LAB	LAB
191	367	Brent West	Barry Gardiner	79,036	61.2	20.3	52.7	4.4	9.7	10.5	0.0	2.4	LAB	LAB
195	363	Feltham and Heston	Seema Malhotra	74,250	59.1	22.3	54.6	2.6	10.5	7.9	0.0	2.0	LAB	LAB
209	349	Beckenham and Penge	Bob Stewart	76,436	72.0	23.1	53.8	6.3	9.3	5.4	0.0	2.0	CON	LAB
234	324	Eltham and Chislehurst	Unknown (changed seat)	74,030	68.2	25.7	54.9	3.0	9.9	4.8	0.0	1.8	CON	LAB
247	311	Dagenham and Rainham	Jon Cruddas	73,233	61.3	24.4	52.6	2.2	13.7	4.9	0.0	2.1	LAB	LAB
248	310	Kensington and Bayswater	Felicity Buchan	79,095	67.5	22.3	50.5	9.1	9.0	6.7	0.0	2.5	CON	LAB
277	281	Ilford North	Wes Streeting	74,670	67.3	25.7	51.3	2.8	9.5	8.3	0.0	2.4	LAB	LAB
285	273	Chingford and Woodford Green	Iain Duncan Smith	75,340	73.2	27.4	51.8	3.9	9.7	4.9	0.0	2.3	CON	LAB
306	252	Hendon	Matthew Offord	72,939	66.6	27.3	49.7	3.9	9.3	7.3	0.0	2.5	CON	LAB
318	240	Chipping Barnet	Theresa Villiers	77,717	71.3	29.7	51.3	3.4	8.3	5.5	0.0	1.9	CON	LAB
320	238	Cities of London and Westminster	Nickie Aiken	74,448	66.8	23.2	44.6	13.0	9.3	7.2	0.0	2.7	CON	LAB
325	233	Chelsea and Fulham	Greg Hands	78,943	69.7	26.9	47.7	8.5	8.6	5.6	0.0	2.6	CON	LAB
335	223	Croydon South	Chris Philp	71,305	70.4	27.3	46.7	6.7	11.6	5.1	0.0	2.6	CON	LAB
349	209	Bromley and Biggin Hill	Bob Neill	70,212	70.5	28.0	44.8	8.1	12.4	4.8	0.0	1.8	CON	LAB
351	207	Harrow East	Bob Blackman	77,127	67.7	28.7	45.2	4.8	11.9	6.5	0.0	3.0	CON	LAB
371	187	Bexleyheath and Crayford	David Evennett	68,825	65.6	28.2	42.0	5.3	17.1	5.2	0.0	2.3	CON	LAB
401	157	Uxbridge and South Ruislip	Boris Johnson	74,828	69.1	35.8	46.0	2.9	6.6	4.2	1.2	3.3	CON	LAB
404	154	Ruislip, Northwood and Pinner	David Simmonds	72,003	71.9	31.5	40.8	8.3	11.6	5.5	0.0	2.2	CON	LAB
420	138	Finchley and Golders Green	Mike Freer	77,742	71.0	30.2	37.6	17.0	8.5	5.0	0.0	1.8	CON	LAB
425	132	Wimbledon	Stephen Hammond	74,718	77.1	23.6	30.1	33.7	7.5	3.4	0.0	1.7	CON	LIB
437	121	Orpington	Gareth Bacon	71,351	70.3	31.2	36.4	9.5	15.4	5.3	0.0	2.3	CON	LAB
470	87	Kingston and Surbiton	Ed Davey	75,437	74.6	17.0	17.1	52.0	8.8	3.5	0.0	1.7	LIB	LIB
474	84	Romford	Andrew Rosindell	73,812	65.3	35.7	35.6	4.5	15.8	6.3	0.0	2.1	CON	CON
474	83	Twickenham	Munira Wilson	77,386	76.0	20.1	19.8	49.0	7.0	2.7	0.0	1.5	LIB	LIB
494	63	Sutton and Cheam	Paul Scully	71,645	70.3	27.5	25.1	30.9	11.1	3.6	0.0	1.7	CON	LIB
496	62	Hornchurch and Upminster	Julia Lopez	76,844	66.8	37.4	34.9	3.2	17.6	5.4	0.0	1.5	CON	CON
512	45	Carshalton and Wallington	Elliot Colburn	73,133	67.3	27.3	22.6	34.3	10.6	3.3	0.0	1.8	CON	LIB
522	35	Richmond Park	Sarah Olney	75,915	78.7	25.0	18.4	45.0	6.9	3.2	0.0	1.5	LIB	LIB
542	16	Old Bexley and Sidcup	James Brokenshire	73,965	69.4	43.6	33.7	3.7	11.1	4.6	0.0	3.4	CON	CON

Note that the MP's name given is the person who won the seat in 2019. That person may not necessarily be the candidate for the same party in the next election.