E1 7 Postcode Sector

E1 7, Tower Hamlets

Found within Postcode District E1, which covers Aldgate Ward, Bishopsgate Ward, Portsoken Ward, Spitalfields and Banglatown Ward, Whitechapel Ward

Residential Population: 2,427

Population Density: 25.18 Persons per Hectare

Land Area: 96.39 Hectares

Daytime Population: 134,615

Population Density: 1,396.57 Persons per Hectare

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Crime in E1 7, Tower Hamlets

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Feb 2024	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Jan 2024	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Dec 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Nov 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Oct 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Sep 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Aug 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Jul 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Jun 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
May 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Apr 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Mar 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Feb 2023	13	1	1	6	14	2	2	33	3	3	12	2	12	2	106
Jan 2023	16	4	5	2	8	3	3	14	8	3	10	0	4	1	81
Dec 2022	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Nov 2022	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Oct 2022	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Sep 2022	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Aug 2022	33	4	3	3	19	3	2	34	4	2	3	1	8	1	120
Jul 2022	32	5	2	6	21	1	2	20	12	1	9	1	11	0	123
Jun 2022	13	1	0	2	15	4	0	10	2	0	8	0	5	1	61
May 2022	9	5	2	3	12	2	3	21	3	4	11	0	4	1	80
Apr 2022	13	5	3	6	19	2	4	16	4	3	11	1	4	1	92
Mar 2022	27	3	0	2	22	0	1	22	5	0	15	0	6	1	104
Feb 2022	15	11	1	2	15	2	0	15	2	4	5	0	7	1	80
Jan 2022	18	8	0	4	14	0	4	14	4	6	4	0	2	2	80
Dec 2021	16	3	3	8	21	1	3	11	6	9	4	0	4	0	89
Nov 2021	24	5	1	5	13	0	3	24	4	9	8	0	3	0	99
Oct 2021	26	5	2	7	19	3	3	14	3	8	13	0	9	1	113
Sep 2021	37	4	3	14	12	0	3	18	9	6	10	1	6	0	123
Aug 2021	27	8	0	14	13	1	3	19	4	6	2	0	0	0	97
Jul 2021	26	7	0	6	11	2	5	14	7	6	2	0	9	0	95
Jun 2021	27	8	1	2	11	2	8	10	9	8	0	0	2	0	88
May 2021	32	4	0	1	10	0	3	5	3	9	4	0	8	0	79
Apr 2021	41	4	6	5	12	2	0	6	8	6	3	0	2	0	95
Mar 2021	43	5	0	3	17	0	1	3	7	3	3	0	4	0	89
Feb 2021	29	5	0	0	7	0	1	2	1	4	4	0	3	2	58
Jan 2021	29	5	3	0	12	0	3	2	7	5	1	1	3	0	71
Dec 2020	31	8	2	2	10	3	2	12	4	3	3	1	6	1	88
Nov 2020	45	2	2	4	16	2	5	5	5	14	2	1	1	2	106
Oct 2020	26	7	4	1	16	1	2	5	6	9	1	0	4	0	82
Sep 2020	45	6	1	11	18	1	2	15	5	4	3	1	5	0	117
Aug 2020	29	1	3	4	16	3	4	5	7	15	0	0	8	0	95
Jul 2020	38	4	0	17	16	0	4	10	6	8	3	0	4	0	110
Jun 2020	33	1	0	10	9	0	6	2	6	7	1	0	1	0	76
May 2020	50	4	0	13	13	2	3	1	3	1	2	0	2	0	94
Apr 2020	24	3	0	12	9	2	4	4	7	1	1	0	4	0	71
Mar 2020	14	2	1	18	9	0	1	7	1	0	1	0	4	1	59
Feb 2020	22	3	4	10	10	2	3	23	1	5	2	0	9	0	94
Jan 2020	20	9	1	9	19	1	6	20	10	3	5	0	1	0	104
Dec 2019	24	10	2	5	20	1	2	15	9	7	3	1	5	0	104
Nov 2019	20	1	3	2	13	1	3	14	19	10	3	2	9	1	101
Oct 2019	14	8	4	3	17	3	1	34	6	3	6	0	2	0	101
Sep 2019	18	7	1	6	15	4	5	15	14	2	5	0	1	3	96
Aug 2019	28	8	1	13	9	3	1	16	10	3	5	0	1	0	98
Jul 2019	22	7	3	2	13	2	0	28	7	2	5	1	3	0	95
Jun 2019	25	4	1	14	16	2	4	20	5	2	4	0	9	1	107
May 2019	26	5	1	7	22	2	3	29	4	10	9	1	6	0	125
Apr 2019	31	6	4	3	22	3	3	34	8	4	2	2	3	0	125
Mar 2019	32	3	3	9	14	0	5	23	4	3	8	0	3	1	108
Feb 2019	26	1	2	9	9	2	3	24	6	4	4	1	6	1	98
Jan 2019	37	2	3	21	9	3	4	19	8	3	5	2	6	0	122
Dec 2018	20	3	3	13	17	1	2	23	6	2	10	1	4	0	105
Nov 2018	27	6	4	14	28	0	3	22	10	8	7	0	8	0	137
Oct 2018	37	5	2	9	11	0	4	21	7	9	6	3	5	0	119
Sep 2018	21	5	6	8	16	3	5	18	6	7	8	2	5	0	110
Aug 2018	23	10	2	12	18	1	3	19	4	6	3	0	7	0	108
Jul 2018	29	11	6	10	12	1	5	20	5	9	7	0	3	0	118
Jun 2018	29	6	2	10	7	2	2	20	2	6	8	0	4	0	98
May 2018	29	13	3	9	13	4	1	18	5	6	7	2	3	2	115
Apr 2018	40	14	4	7	10	1	4	22	1	3	8	1	9	0	124
Mar 2018	27	8	3	9	16	2	7	13	5	0	7	1	1	0	99
Feb 2018	24	18	1	7	17	0	6	8	3	0	0	0	4	1	89
Jan 2018	27	5	1	7	12	1	6	16	5	3	1	2	5	1	92
Dec 2017	17	4	4	5	12	4	1	17	6	0	5	1	5	1	82
Nov 2017	24	1	3	5	10	0	5	11	12	4	1	2	4	1	83
Oct 2017	28	5	1	7	10	7	4	6	10	6	1	1	1	1	88
Sep 2017	14	4	1	5	10	4	6	14	3	2	2	0	5	0	70
Aug 2017	42	5	3	6	13	10	3	8	1	5	3	0	5	0	104
Jul 2017	38	2	4	0	12	4	2	7	2	3	3	2	7	1	87
Jun 2017	31	5	1	1	12	1	7	14	5	6	6	1	7	1	98
May 2017	14	3	2	3	14	0	2	13	1	4	4	0	1	1	62
Apr 2017	32	7	2	4	9	4	3	21	2	3	4	1	2	2	96
Mar 2017	40	3	1	4	14	0	5	8	3	7	6	0	3	0	94
Feb 2017	24	10	2	5	8	4	6	15	4	3	5	0	6	1	93
Jan 2017	37	4	1	1	11	1	5	9	0	2	8	0	5	1	85
Dec 2016	21	5	6	7	12	2	8	11	1	2	10	0	4	4	93
Nov 2016	40	6	2	2	14	18	4	15	3	8	7	0	3	0	122
Oct 2016	29	6	2	3	15	13	4	15	1	9	10	0	3	0	110
Sep 2016	41	5	0	2	12	3	3	9	5	2	4	0	3	0	89
Aug 2016	23	2	1	4	9	3	2	10	1	5	5	0	4	0	69
Jul 2016	33	9	2	4	13	1	2	6	2	4	7	0	1	0	84
Jun 2016	26	9	2	3	17	7	4	12	1	1	6	0	4	0	92
May 2016	27	2	2	1	7	9	1	14	0	1	6	0	2	1	73
Apr 2016	29	16	0	1	9	6	1	7	4	4	5	0	1	1	84
Mar 2016	22	4	0	0	10	4	3	8	7	2	1	0	4	1	66
Feb 2016	22	3	4	2	4	0	3	11	2	5	0	0	2	1	59
Jan 2016	23	3	1	1	8	0	1	8	1	2	5	0	4	2	59
Dec 2015	16	3	1	3	17	1	5	14	1	1	8	0	1	1	72
Nov 2015	31	3	3	3	8	2	5	5	8	2	2	0	0	0	72
Oct 2015	21	3	2	5	9	3	5	23	2	4	2	1	2	0	82
Sep 2015	28	2	1	2	8	3	6	11	4	1	5	0	1	0	72
Aug 2015	36	4	1	5	6	5	4	7	1	1	2	0	4	0	76
Jul 2015	39	3	2	2	9	2	3	7	1	4	2	0	3	0	77
Jun 2015	44	3	2	2	11	9	2	13	0	2	0	0	5	0	93
May 2015	31	1	4	5	11	4	1	11	3	0	6	0	1	0	78
Apr 2015	13	2	0	2	9	1	3	8	2	4	6	0	0	0	50
Mar 2015	26	2	1	6	10	0	4	8	1	2	7	1	4	0	72
Feb 2015	20	2	3	6	9	2	3	9	1	2	0	0	8	1	66
Jan 2015	37	0	1	1	10	4	2	10	3	3	2	0	6	0	79
Dec 2014	26	4	2	2	9	3	3	10	1	4	2	1	3	1	71
Nov 2014	39	2	2	2	10	1	5	6	9	0	4	0	2	1	83
Oct 2014	31	3	4	3	4	2	1	14	14	6	4	0	3	0	89
Sep 2014	39	0	2	2	7	1	2	8	2	5	2	0	5	0	75
Aug 2014	36	2	2	7	8	2	2	5	2	1	0	0	1	0	68
Jul 2014	36	0	2	5	11	3	5	18	2	2	1	0	4	1	90
Jun 2014	35	3	1	5	7	5	0	12	4	1	2	1	2	1	79
May 2014	22	2	1	1	8	4	5	17	3	2	3	0	4	2	74
Apr 2014	17	5	0	4	2	5	1	8	2	0	4	0	0	1	49
Mar 2014	35	4	1	4	4	1	1	14	7	2	4	0	2	0	79
Feb 2014	20	2	2	6	1	0	2	8	6	1	3	0	0	1	52
Jan 2014	14	2	1	12	6	2	0	11	3	1	5	0	0	0	57
Dec 2013	18	4	1	3	13	3	2	6	2	1	4	0	0	0	57
Nov 2013	21	1	0	2	4	1	3	22	3	5	6	0	4	1	73
Oct 2013	49	4	1	20	14	6	1	17	8	1	3	0	0	0	124
Sep 2013	19	3	0	4	6	1	4	12	2	8	7	0	2	0	68
Aug 2013	20	3	2	2	6	0	1	6	1	2	7	0	0	1	51
Jul 2013	28	2	0	4	4	3	2	15	2	7	1	1	1	1	71
Jun 2013	19	4	1	4	9	0	1	13	6	4	4	0	1	1	67
May 2013	21	3	1	3	5	2	2	8	9	3	4	0	2	0	63
Apr 2013	24	2	1	5	8	0	4	17			3	0		0	64
Mar 2013	24	3	0	3	6	0	4	24			6	3		0	73
Feb 2013	26	3	0	8	8	0	1	21			5	2		0	74
Jan 2013	23	5	2	7	3	1	2	19			4	2		2	70
Dec 2012	39	2	1	4	8	0	2	17			2	2		3	80
Nov 2012	35	5	1	7	4	0	2	17			4	3		1	79
Oct 2012	36	1	2	5	7	0	2	24			3	4		2	86
Sep 2012	25	5	4	4	4	0	1	17			2	1		1	64
Aug 2012	41	1	2	7	6	0	3	24			4	1		2	91
Jul 2012	36	3	2	3	5	3	1	22			3	2		1	81
Jun 2012	26	1	5	6	5	2	1	17			3	0		1	67
May 2012	26	3	2	1	6	1	1	20			1	0		3	64
Apr 2012	38	5	1	0	5	1	5	20			2	3		3	83
Mar 2012	33	6	1	2	3	1	0	17			6	2		1	72
Feb 2012	24	4	2	2	11	2	0	31			1	1		4	82
Jan 2012	26	0	1	0	2	2	1	15			11	4		2	64
Dec 2011	25	3	2	4	7	1	1	20			8	3		4	78
Nov 2011	15	2	1	4	4	0	3	21			8	2		0	60
Oct 2011	18	4	2	2	5	0	3	15			7	1		0	57
Sep 2011	26	2	1	4	8	3	4	17			3	2		4	74
Aug 2011	25	2	0	5	3	22									57
Jul 2011	44	2	1	2	10	28									87
Jun 2011	49	4	1	5	4	25									88
May 2011	54	3	3	4	7	27									98
Apr 2011	44	2	0	3	5	22									76
Mar 2011	48	5	2	7	8	21									91
Feb 2011	38	2	1	3	4	31									79
Jan 2011	47	1	2	2	5	39									96
Dec 2010	42	3	1	1	5	18									70

The Economic Policy Centre www.economicpolicycentre.com has made every effort in order to ensure that the data for UkCrimeStats is accurate and up to date. However, we are aware of certain deficiencies in this data which are beyond our control. That's because as a 3rd party developer, we do not collect the data, the Police do who then hand it over to another data company to release to 3rd party developers such as ourselves. We only download and analyse it so that you can use it. For full detail of these deficiencies, please read here.

Crime Plus ASB Breakdown for E1 7

Crime Type and ASB Charts for E1 7

In September 2011, Other Crime was divided into 6 categories - Drugs, Public Disorder & Weapons (which was later split further and so is not displayed here), Criminal Damage & Arson (CD&A), Theft - Shoplifting, Theft-Other and Other.

From May 2013, the following changes were made to the crime categories:
I) The violent crime category was renamed "violence and sexual offences"
2) A new category for "bicycle theft" was created which previously fell within "other theft"
3) A new category for "theft from the person" was created which previously fell within "other theft"
4) Public disorder and weapons were then split into two new categories; "public order" and "possession of weapons"
5) Both "other firearms offences" and "other knives offences" which were in "other crime" were moved into "possession of weapons".