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London Borough (1)
Pilot Boroughs (2)
London Wards (3)
Ward names (zoom in to see) (4)
<30Mbit/s (5)
Concentration of residents 65+| 2011 | Census (7)
1 - 18 1 - 18
19 - 44 19 - 44
Concentration of residents 65+| 2019 | ONS (8)
1% - 18% 1% - 18%
19% - 45% 19% - 45%
Concentration of residents 75+| 2019 | ONS (9)
0.5% - 8% 0.5% - 8%
8.1% - 28.8% 8.1% - 28.8%
IMD - affecting older people | 2019 (10)
most deprived areas - 20% most deprived areas - 20%
20 - 40% 20 - 40%
40 - 60% 40 - 60%
60 - 80% 60 - 80%
least deprived areas - 20% least deprived areas - 20%
Income Deprivation Affecting Children | 2019 (12)
0 - 10 0 - 10
11 - 20 11 - 20
21 - 100 21 - 100
Free School Meals | 2017 | DfE (13)
less than 20% pupils less than 20% pupils
20-27% pupils (worst 20% areas nationally) 20-27% pupils (worst 20% areas nationally)
27-56% pupils (worst 10% areas nationally) 27-56% pupils (worst 10% areas nationally)
JSA claimants | 2019 | DWP (15)
0 - 16 0 - 16
17 - 54 17 - 54
JSA claimants | 2021 | DWP (16)
0 - 15 0 - 15
16 - 54 16 - 54
IMD - employment | 2019 (17)
1 - 10 1 - 10
11 - 20 11 - 20
21 - 100 21 - 100
Small Area Mental Health Index | 2018 (19)
1 - 8 1 - 8
9 - 10 9 - 10
Disability Living Allowance | 2018 | DWP (20)
0 - 60 0 - 60
61 - 165 61 - 165
microbusinesses (pilot Boroughs) | 2019 | ONS (22)
arts_recreation_others arts_recreation_others
retail retail
information_communication information_communication
professional_scientific_technical professional_scientific_technical
businessadmin_supportservices businessadmin_supportservices
construction construction
property property
motor_trades motor_trades
transport transport
agriculture agriculture
other other
microbusinesses | 2019 | ONS (23)
80 - 585 80 - 585
586 - 765 586 - 765
766 - 19658 766 - 19658
microbusinesses | 2019 | ONS (24)
80 - 215 80 - 215
216 - 260 216 - 260
261 - 300 261 - 300
301 - 345 301 - 345
346 - 390 346 - 390
391 - 440 391 - 440
441 - 500 441 - 500
501 - 585 501 - 585
586 - 765 586 - 765
766 - 21625 766 - 21625
gla_gis.gisapdata.core_loac (27)
A1 Struggling suburbs A1 Struggling suburbs
A2 Suburban localities A2 Suburban localities
B1 Disadvantaged diaspora B1 Disadvantaged diaspora
B2 Bangladeshi enclaves B2 Bangladeshi enclaves
B3 Students & minority mix B3 Students & minority mix
C1 Asian owner occupiers C1 Asian owner occupiers
C2 Transport service workers C2 Transport service workers
C3 East End Asians C3 East End Asians
C4 Elderly Asians C4 Elderly Asians
D1 Educational advantage D1 Educational advantage
D2 City central D2 City central
E1 City & student fringe E1 City & student fringe
E2 Graduation occupation E2 Graduation occupation
F1 City enclaves F1 City enclaves
F2 Affluent suburbs F2 Affluent suburbs
G1 Affordable transitions G1 Affordable transitions
G2 Public sector & service employees G2 Public sector & service employees
H1 Detached retirement H1 Detached retirement
H2 Not quite Home Counties H2 Not quite Home Counties
gla_gis.gisapdata.core_loac (28)
 Urban Elites Urban Elites
 City Vibe City Vibe
 London Life-Cycle London Life-Cycle
 High Density & High Rise Flats High Density & High Rise Flats
 Intermediate Lifestyles Intermediate Lifestyles
 Settled Asians Settled Asians
 Multi-Ethnic Suburbs Multi-Ethnic Suburbs
Ageing City Fringe Ageing City Fringe
Internet Use Classification - 2018 (29)
1 1
2 2
3 3
4 4
5 5
6 6
7 - Passive and Uncommitted Users 7 - Passive and Uncommitted Users
8 - Digital Seniors 8 - Digital Seniors
9 - Settled Offline Communities 9 - Settled Offline Communities
10 - e-Withdrawn 10 - e-Withdrawn
Internet Use Classification - 2018 (30)
Passive and Uncommitted Users Passive and Uncommitted Users
e-Withdrawn e-Withdrawn