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EC2A 4, Hackney

Found within Postcode District EC2A, which covers Bunhill Ward, Clerkenwell Ward, Haggerston Ward

Residential Population: 696

Population Density: 33.82 Persons per Hectare

Land Area: 20.58 Hectares

Daytime Population: 16,540

Population Density: 803.69 Persons per Hectare

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Crime in EC2A 4, Hackney

	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	1	0	0	1
Dec 2023	0	0	0	0	0	0	0	0	0	0	2	0	0	0	2
Nov 2023	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Oct 2023	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1
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	1	0	0	2	0	0	0	3
Jul 2023	0	0	0	0	2	0	0	0	0	0	0	0	0	0	2
Jun 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
May 2023	0	1	0	0	0	0	0	0	0	0	1	0	0	0	2
Apr 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Mar 2023	0	0	0	0	1	0	0	0	0	0	1	0	0	0	2
Feb 2023	6	0	6	0	6	0	1	9	2	2	17	0	2	0	51
Jan 2023	5	1	12	4	6	0	0	17	3	3	25	0	0	0	76
Dec 2022	0	1	0	0	0	0	0	1	0	0	0	0	0	0	2
Nov 2022	0	0	0	0	0	0	0	1	0	0	0	1	0	0	2
Oct 2022	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1
Sep 2022	0	1	0	0	0	0	0	1	0	0	0	0	0	0	2
Aug 2022	10	1	12	3	10	0	2	20	5	1	20	0	0	1	85
Jul 2022	8	6	6	1	20	0	2	14	2	4	32	0	1	0	96
Jun 2022	4	8	5	4	6	0	4	8	0	1	14	0	1	0	55
May 2022	6	7	3	4	11	0	2	20	2	4	18	0	2	0	79
Apr 2022	8	3	2	5	6	0	1	7	2	0	17	1	1	0	53
Mar 2022	10	6	2	5	16	1	0	17	1	0	19	0	3	0	80
Feb 2022	4	3	5	3	26	0	1	12	3	2	12	0	4	0	75
Jan 2022	4	0	7	5	18	0	4	16	1	1	15	0	0	0	71
Dec 2021	5	3	4	2	11	0	1	9	2	2	10	0	0	1	50
Nov 2021	6	3	1	5	11	0	2	20	1	4	15	0	3	1	72
Oct 2021	11	6	4	5	19	0	4	14	1	2	18	3	3	0	90
Sep 2021	11	3	3	7	16	0	0	23	1	2	24	1	0	0	91
Aug 2021	20	3	4	6	22	0	1	23	2	4	10	0	3	0	98
Jul 2021	13	2	4	4	13	0	4	7	0	0	9	0	2	0	58
Jun 2021	10	3	2	6	9	0	3	7	0	2	4	0	1	0	47
May 2021	5	1	1	2	2	0	1	4	1	1	17	0	0	0	35
Apr 2021	11	5	2	1	2	0	3	3	1	2	1	0	2	0	33
Mar 2021	10	5	2	2	5	0	0	1	1	2	3	0	0	0	31
Feb 2021	3	7	0	4	2	0	0	0	1	1	1	0	0	0	19
Jan 2021	8	3	0	11	2	0	2	0	0	1	2	0	0	0	29
Dec 2020	14	2	1	10	1	0	1	6	1	2	6	0	2	0	46
Nov 2020	17	4	3	6	6	0	1	7	1	5	6	0	1	0	57
Oct 2020	11	5	1	4	12	0	2	6	1	11	6	0	1	0	60
Sep 2020	18	4	4	14	5	0	1	18	1	8	18	0	2	0	93
Aug 2020	9	6	2	6	6	0	3	9	0	13	10	0	2	0	66
Jul 2020	10	7	1	7	1	0	0	3	0	7	0	0	1	0	37
Jun 2020	10	7	0	1	3	0	0	2	1	5	0	0	1	0	30
May 2020	18	5	0	1	2	0	0	0	0	2	1	0	0	0	29
Apr 2020	7	3	0	4	2	0	1	1	1	0	1	0	1	0	21
Mar 2020	7	12	6	4	8	1	2	12	1	2	12	1	1	0	69
Feb 2020	7	6	4	7	14	0	8	28	6	1	20	0	4	0	105
Jan 2020	9	4	6	9	8	2	4	15	1	3	18	0	1	0	80
Dec 2019	5	4	10	5	10	1	0	20	3	2	12	0	4	0	76
Nov 2019	10	3	13	1	16	0	3	45	0	2	18	1	3	0	115
Oct 2019	6	1	6	7	24	1	2	19	0	5	23	0	0	1	95
Sep 2019	7	5	11	6	10	0	5	17	2	0	24	0	1	1	89
Aug 2019	20	8	1	6	12	0	1	19	5	5	29	0	1	0	107
Jul 2019	21	11	12	5	12	0	3	20	0	5	20	2	2	1	114
Jun 2019	12	4	5	6	12	0	4	21	3	3	9	1	1	0	81
May 2019	14	4	5	8	15	1	1	22	2	9	18	0	1	0	100
Apr 2019	20	6	1	2	16	0	1	23	1	4	16	0	2	0	92
Mar 2019	19	7	5	14	18	1	1	18	2	1	7	0	4	0	97
Feb 2019	19	3	5	9	9	1	1	17	3	3	15	1	1	0	87
Jan 2019	22	15	3	10	16	3	2	20	1	2	9	1	3	0	107
Dec 2018	10	2	0	5	11	0	1	21	2	2	16	0	2	0	72
Nov 2018	14	3	9	15	15	1	2	32	3	2	10	0	1	0	107
Oct 2018	8	4	5	8	17	2	6	24	0	8	15	0	1	0	98
Sep 2018	7	8	1	10	16	3	3	18	1	5	6	0	4	0	82
Aug 2018	11	3	2	5	11	1	4	18	0	3	7	0	0	0	65
Jul 2018	7	10	6	3	8	1	2	14	0	5	5	0	2	1	64
Jun 2018	3	7	2	10	3	3	1	7	2	2	11	0	5	0	56
May 2018	1	4	1	4	12	1	3	18	1	9	10	2	2	0	68
Apr 2018	5	4	8	4	10	3	0	14	2	0	11	0	0	1	62
Mar 2018	1	8	3	3	18	0	2	18	1	4	15	0	1	0	74
Feb 2018	0	13	1	7	17	4	2	17	0	6	4	0	0	0	71
Jan 2018	3	5	3	8	12	1	0	10	2	1	11	0	2	0	58
Dec 2017	7	4	5	8	11	1	3	9	2	0	19	0	3	0	72
Nov 2017	5	3	5	6	20	4	2	18	3	1	26	0	0	0	93
Oct 2017	3	9	4	6	8	0	3	24	3	2	18	1	2	1	84
Sep 2017	7	5	11	10	10	1	2	17	2	7	7	0	3	0	82
Aug 2017	9	12	9	5	19	0	0	10	5	6	14	0	0	1	90
Jul 2017	2	13	5	1	13	2	2	14	2	10	16	0	2	0	82
Jun 2017	8	2	4	2	3	1	2	8	1	1	24	0	1	0	57
May 2017	8	7	6	3	8	2	3	11	1	3	16	1	2	0	71
Apr 2017	4	4	2	4	15	3	2	23	1	2	18	0	2	0	80
Mar 2017	12	1	3	4	6	2	1	36	1	1	19	0	1	0	87
Feb 2017	10	4	1	1	6	1	2	28	1	2	12	0	1	1	70
Jan 2017	12	3	2	8	8	3	1	22	1	3	13	0	2	0	78
Dec 2016	7	7	2	3	11	4	3	23	3	2	15	0	2	0	82
Nov 2016	9	3	4	5	9	3	0	22	2	4	11	0	2	0	74
Oct 2016	6	2	3	4	11	4	1	23	7	5	14	1	0	0	81
Sep 2016	9	3	3	3	9	1	2	16	0	1	22	0	0	0	69
Aug 2016	13	5	1	1	6	3	2	15	2	5	17	0	2	0	72
Jul 2016	11	8	2	6	10	1	1	7	2	2	12	0	1	0	63
Jun 2016	8	4	1	3	5	3	1	15	1	5	10	0	0	0	56
May 2016	12	3	0	4	12	2	1	15	1	2	16	0	6	0	74
Apr 2016	6	5	0	7	12	8	0	17	1	2	5	0	1	0	64
Mar 2016	4	1	1	3	7	3	5	10	3	0	2	0	1	0	40
Feb 2016	5	8	1	5	9	0	1	25	0	4	14	0	2	1	75
Jan 2016	3	11	1	4	7	0	1	13	2	4	9	0	2	0	57
Dec 2015	2	12	1	4	7	0	3	14	0	0	18	0	2	0	63
Nov 2015	4	1	4	6	13	1	1	15	1	4	11	0	1	0	62
Oct 2015	16	7	3	6	17	2	1	23	0	4	20	0	3	0	102
Sep 2015	10	2	3	9	12	1	1	19	2	4	13	0	0	0	76
Aug 2015	6	3	0	9	9	1	2	15	1	2	13	0	1	0	62
Jul 2015	4	4	2	11	5	5	2	17	1	3	14	0	1	0	69
Jun 2015	7	10	2	11	6	4	2	13	1	8	12	0	2	0	78
May 2015	5	2	5	4	6	3	1	10	2	2	19	0	1	0	60
Apr 2015	3	7	1	9	4	1	1	15	1	2	27	0	1	0	72
Mar 2015	1	3	2	15	8	0	0	28	0	8	19	0	1	1	86
Feb 2015	2	2	5	15	8	0	1	14	2	4	27	0	0	0	80
Jan 2015	14	8	0	12	10	0	4	12	2	0	25	0	2	1	90
Dec 2014	6	1	0	4	6	0	2	19	1	4	17	0	1	0	61
Nov 2014	3	4	0	7	11	0	3	19	1	1	16	0	1	0	66
Oct 2014	5	3	0	7	5	1	2	14	2	0	5	0	0	0	44
Sep 2014	4	2	0	3	7	1	2	11	1	1	3	0	0	0	35
Aug 2014	5	6	1	4	4	0	1	9	0	0	9	0	3	0	42
Jul 2014	2	4	0	5	7	2	3	9	2	1	9	0	0	0	44
Jun 2014	5	2	2	7	1	0	3	12	0	0	8	0	0	0	40
May 2014	6	6	1	5	7	0	3	17	2	6	4	0	2	1	60
Apr 2014	13	5	1	3	9	1	1	17	0	3	8	0	1	0	62
Mar 2014	17	1	2	7	5	1	2	12	3	9	7	1	2	0	69
Feb 2014	8	5	0	5	3	1	2	15	0	1	14	0	0	0	54
Jan 2014	16	3	0	9	5	0	3	12	1	6	2	0	0	0	57
Dec 2013	11	3	0	1	7	0	4	20	1	1	7	1	0	0	56
Nov 2013	6	9	0	2	1	0	4	13	4	1	11	0	0	0	51
Oct 2013	14	13	1	4	2	1	1	11	3	2	16	1	0	1	70
Sep 2013	17	9	1	4	9	0	1	9	4	5	13	0	0	0	72
Aug 2013	2	8	2	4	1	0	3	10	3	4	9	0	0	0	46
Jul 2013	9	8	1	2	2	1	0	10	2	5	14	0	0	0	54
Jun 2013	20	12	1	4	6	0	2	10	0	4	22	0	1	0	82
May 2013	17	13	2	3	1	0	3	16	6	0	26	1	0	0	88
Apr 2013	18	9	0	5	3	1	1	23			0	2		0	62
Mar 2013	16	6	0	3	5	0	2	35			0	0		1	68
Feb 2013	9	10	1	16	3	0	3	54			2	0		6	104
Jan 2013	12	12	0	12	5	0	4	37			2	0		1	85
Dec 2012	11	5	1	13	3	0	3	53			4	0		0	93
Nov 2012	11	8	2	8	6	0	0	43			3	0		2	83
Oct 2012	22	7	0	17	3	0	3	46			2	1		3	104
Sep 2012	11	2	1	3	7	0	3	21			5	0		1	54
Aug 2012	16	4	1	7	8	1	0	36			1	3		1	78
Jul 2012	17	3	0	13	2	0	2	27			1	2		0	67
Jun 2012	8	6	3	12	5	1	3	24			0	1		0	63
May 2012	9	8	0	12	5	0	1	27			3	0		2	67
Apr 2012	18	2	0	11	8	0	4	35			2	0		0	80
Mar 2012	10	4	0	5	3	3	1	42			2	2		2	74
Feb 2012	5	0	1	2	3	0	0	42			6	1		2	62
Jan 2012	14	2	0	10	3	3	3	41			5	0		0	81
Dec 2011	14	3	0	2	7	4	0	37			1	2		1	71
Nov 2011	10	2	0	6	15	2	3	59			4	3		0	104
Oct 2011	7	5	2	13	10	1	2	38			11	3		0	92
Sep 2011	6	1	0	5	7	0	2	39			0	3		1	64
Aug 2011	16	8	5	5	2	44									80
Jul 2011	9	8	1	7	3	49									77
Jun 2011	6	8	2	5	2	65									88
May 2011	13	8	1	7	4	84									117
Apr 2011	38	11	0	12	4	51									116
Mar 2011	36	4	1	8	11	106									166
Feb 2011	13	9	2	10	8	68									110
Jan 2011	9	2	1	6	8	90									116
Dec 2010	12	6	5	9	7	67									106

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 EC2A 4

Crime Type and ASB Charts for EC2A 4

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".