E02002282 MSOA

E02002282

Kirklees 012
Residential Population: 7,628 (mid-2020 estimate)

Males: 3,780

Females: 3,848

Population Density: 66.62 Persons per Hectare

Land Area: 114.50 Hectares

Daytime Population: 5,245

Population Density: 45.81 Persons per Hectare

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Crime in E02002282

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Feb 2024	3	4	0	7	35	0	2	3	0	0	1	0	1	1	57
Jan 2024	2	5	0	0	31	0	9	2	3	0	0	2	4	5	63
Dec 2023	4	4	0	2	22	0	3	1	3	0	0	0	2	1	42
Nov 2023	3	3	0	1	23	0	5	5	2	0	0	0	4	1	47
Oct 2023	3	4	1	5	33	0	6	1	0	0	0	0	3	1	57
Sep 2023	6	5	0	5	32	0	8	2	2	0	1	1	4	1	67
Aug 2023	6	4	0	2	32	0	6	4	5	0	1	0	8	3	71
Jul 2023	8	1	0	5	24	0	3	8	1	0	0	2	5	2	59
Jun 2023	6	1	0	5	47	0	5	3	2	0	0	1	7	4	81
May 2023	5	0	0	2	27	0	5	2	1	0	1	0	10	1	54
Apr 2023	9	2	0	7	27	0	6	3	1	0	0	1	8	2	66
Mar 2023	8	3	0	3	32	0	5	1	2	0	0	1	7	2	64
Feb 2023	5	4	0	3	30	0	4	4	0	0	1	0	7	2	60
Jan 2023	4	4	0	10	56	0	3	7	2	0	0	0	15	3	104
Dec 2022	1	5	0	4	31	0	4	1	0	0	0	0	3	1	50
Nov 2022	4	10	0	1	27	0	9	3	0	0	0	0	7	3	64
Oct 2022	2	2	0	5	39	0	9	5	2	0	0	0	10	2	76
Sep 2022	6	1	1	0	27	0	11	3	1	0	0	0	10	2	62
Aug 2022	8	2	1	5	32	0	8	4	0	1	0	1	8	2	72
Jul 2022	4	2	0	4	35	0	3	6	5	1	1	1	11	2	75
Jun 2022	4	5	0	6	40	0	9	6	0	0	0	0	13	0	83
May 2022	5	5	1	5	31	0	6	4	2	0	0	1	9	1	70
Apr 2022	8	2	0	7	37	0	11	3	0	0	0	0	12	1	81
Mar 2022	2	3	0	3	26	0	11	6	0	1	0	0	6	2	60
Feb 2022	4	4	0	4	34	0	11	3	1	0	1	0	9	4	75
Jan 2022	4	3	0	15	26	0	7	4	3	0	0	0	7	3	72
Dec 2021	3	3	1	4	21	0	4	4	0	0	0	0	3	2	45
Nov 2021	0	3	0	4	37	0	12	3	1	0	0	0	4	1	65
Oct 2021	4	2	1	4	41	0	10	2	0	0	0	1	9	3	77
Sep 2021	9	2	0	4	15	0	4	5	1	0	0	0	5	0	45
Aug 2021	16	1	0	4	27	0	4	2	1	0	0	0	14	1	70
Jul 2021	11	1	0	6	39	0	6	0	2	0	0	0	14	1	80
Jun 2021	8	3	0	0	32	0	10	2	2	0	1	0	11	0	69
May 2021	12	3	0	3	48	0	6	2	0	0	0	0	18	4	96
Apr 2021	17	2	0	5	41	0	8	8	2	0	2	0	14	4	103
Mar 2021	29	2	1	3	37	0	15	6	0	0	0	0	11	1	105
Feb 2021	26	1	0	0	40	0	9	2	2	0	0	2	9	0	91
Jan 2021	7	1	0	1	32	0	7	2	3	0	0	0	6	1	60
Dec 2020	9	4	1	4	28	0	11	1	3	0	0	1	8	2	72
Nov 2020	8	7	0	3	17	0	5	4	1	0	0	0	6	0	51
Oct 2020	14	4	2	5	35	0	4	0	0	0	0	1	10	3	78
Sep 2020	20	2	0	4	30	0	18	4	1	0	1	0	19	1	100
Aug 2020	21	6	0	2	36	0	5	0	4	0	0	0	9	4	87
Jul 2020	12	2	0	3	38	0	11	2	4	0	0	0	3	3	78
Jun 2020	14	3	0	6	25	0	1	4	4	1	0	0	9	3	70
May 2020	26	2	0	0	30	1	5	3	2	0	0	0	7	2	78
Apr 2020	21	3	0	3	23	0	8	4	3	0	0	0	6	2	73
Mar 2020	14	2	0	7	18	0	7	1	1	0	0	1	6	1	58
Feb 2020	4	2	1	7	18	0	4	5	2	0	0	1	5	1	50
Jan 2020	10	6	0	10	29	2	10	6	0	0	0	0	6	0	79
Dec 2019	4	2	0	8	26	0	6	1	0	0	0	0	1	7	55
Nov 2019	5	3	0	5	36	0	11	2	1	0	0	0	4	3	70
Oct 2019	7	1	0	4	23	0	6	8	2	0	0	1	6	1	59
Sep 2019	16	5	1	7	40	0	6	3	0	1	1	0	7	2	89
Aug 2019	15	9	3	5	18	1	6	5	0	0	0	0	8	0	70
Jul 2019	16	7	0	8	30	0	17	3	3	0	1	1	13	3	102
Jun 2019	22	5	0	10	26	0	8	6	3	0	0	1	13	0	94
May 2019	28	9	1	4	28	0	2	5	0	0	0	0	9	3	89
Apr 2019	8	5	2	5	14	2	6	2	1	1	1	3	6	1	57
Mar 2019	11	11	0	7	21	0	5	5	0	0	0	0	6	1	67
Feb 2019	18	4	1	5	24	0	11	3	0	0	0	1	5	2	74
Jan 2019	16	9	1	7	31	2	9	1	0	0	0	0	3	0	79
Dec 2018	11	3	2	12	35	0	5	3	3	0	1	0	11	3	89
Nov 2018	17	8	2	15	33	0	11	3	1	0	1	1	2	3	97
Oct 2018	25	6	0	6	33	0	10	4	1	0	0	1	11	1	98
Sep 2018	10	6	0	4	19	0	8	5	0	0	0	0	5	2	59
Aug 2018	16	3	0	5	29	1	18	4	0	0	0	1	16	1	94
Jul 2018	24	3	2	1	39	0	7	12	2	1	1	2	13	3	110
Jun 2018	26	6	1	5	29	1	12	4	1	0	0	0	11	3	99
May 2018	11	4	1	6	38	1	5	7	2	0	0	0	4	2	81
Apr 2018	11	6	2	7	24	0	6	5	2	0	0	2	8	1	74
Mar 2018	12	9	0	7	37	0	6	10	1	0	1	0	8	0	91
Feb 2018	7	6	2	4	29	1	4	4	0	0	0	1	5	1	64
Jan 2018	10	8	2	9	35	0	9	4	1	0	1	1	8	3	91
Dec 2017	15	6	0	5	40	0	8	4	2	0	1	0	8	4	93
Nov 2017	15	5	0	3	36	0	17	3	1	0	0	0	6	3	89
Oct 2017	28	6	3	8	27	0	3	4	1	0	0	0	2	0	82
Sep 2017	3	6	1	13	29	0	6	7	0	0	0	0	9	2	76
Aug 2017	28	8	0	13	25	0	8	6	2	0	1	1	1	1	94
Jul 2017	15	3	0	6	28	0	10	3	0	0	1	1	6	0	73
Jun 2017	17	7	2	6	25	0	10	3	0	0	0	0	6	1	77
May 2017	10	11	1	6	25	0	6	4	1	0	0	0	3	0	67
Apr 2017	14	17	2	17	36	1	18	10	0	0	1	0	3	1	120
Mar 2017	13	8	0	6	13	0	11	5	2	0	1	1	3	2	65
Feb 2017	15	8	1	3	22	0	8	5	0	0	0	0	5	2	69
Jan 2017	11	8	0	2	20	0	6	4	1	0	0	0	2	0	54
Dec 2016	14	6	2	10	21	1	10	6	1	0	1	1	8	1	82
Nov 2016	12	16	1	11	18	6	11	9	0	1	2	0	3	2	92
Oct 2016	20	7	0	2	24	0	9	4	1	0	1	0	4	2	74
Sep 2016	20	3	1	7	22	0	12	7	0	0	0	0	6	1	79
Aug 2016	29	10	0	7	14	0	6	1	0	0	0	0	2	0	69
Jul 2016	33	9	1	6	18	1	10	6	0	0	0	0	4	1	89
Jun 2016	23	3	0	5	14	0	7	4	1	0	0	0	8	2	67
May 2016	26	7	0	7	21	0	6	4	0	0	0	0	7	0	78
Apr 2016	36	7	0	7	21	0	9	6	0	0	1	0	3	0	90
Mar 2016	20	7	0	4	21	0	7	3	1	0	0	0	2	0	65
Feb 2016	13	5	0	8	17	0	14	3	0	0	0	0	7	0	67
Jan 2016	11	5	0	4	7	0	3	2	0	0	0	0	0	1	33
Dec 2015	20	5	1	7	14	0	10	6	2	0	0	0	7	0	72
Nov 2015	16	8	1	12	11	0	6	6	0	0	0	0	6	0	66
Oct 2015	33	8	2	7	9	1	6	1	0	0	0	0	1	2	70
Sep 2015	22	4	1	13	12	0	7	3	2	0	0	1	4	0	69
Aug 2015	37	6	1	6	19	0	11	3	1	0	0	0	2	1	87
Jul 2015	30	6	0	8	9	0	3	6	1	0	0	0	1	1	65
Jun 2015	21	8	2	5	17	0	11	5	0	0	0	0	2	1	72
May 2015	20	3	0	7	8	0	6	2	2	0	0	0	1	0	49
Apr 2015	11	12	0	2	7	0	11	2	2	0	0	0	2	0	49
Mar 2015	20	6	0	3	7	0	9	4	1	1	0	0	1	1	53
Feb 2015	11	7	0	4	10	0	5	1	1	0	0	0	0	1	40
Jan 2015	17	3	0	3	9	0	5	0	1	0	0	0	1	0	39
Dec 2014	12	6	1	6	19	0	3	6	0	0	0	1	0	0	54
Nov 2014	13	3	0	5	16	0	3	3	0	0	0	0	0	2	45
Oct 2014	16	4	0	0	5	1	3	2	3	0	0	0	1	0	35
Sep 2014	12	3	1	3	8	0	5	1	2	0	0	0	0	0	35
Aug 2014	17	10	0	1	7	0	7	1	1	0	0	0	0	1	45
Jul 2014	26	9	0	5	4	0	5	3	1	0	0	0	0	0	53
Jun 2014	11	8	0	7	10	0	7	3	0	0	1	0	3	1	51
May 2014	18	12	0	5	11	0	3	2	0	1	0	0	0	0	52
Apr 2014	27	5	0	7	4	0	3	2	0	0	0	0	0	1	49
Mar 2014	26	5	1	5	9	0	2	4	0	0	0	0	0	0	52
Feb 2014	13	2	0	6	0	0	10	3	1	0	0	0	1	0	36
Jan 2014	22	2	0	3	5	0	6	2	0	0	0	0	2	1	43
Dec 2013	16	0	0	9	7	0	8	1	0	0	0	0	1	1	43
Nov 2013	21	8	1	5	1	0	3	4	1	1	0	1	0	0	46
Oct 2013	27	4	2	6	10	0	11	3	2	0	0	0	2	1	68
Sep 2013	22	2	0	7	7	0	5	2	0	0	1	0	1	0	47
Aug 2013	28	4	1	7	5	0	2	6	2	0	0	0	1	0	56
Jul 2013	29	6	0	5	8	0	4	2	1	0	1	0	2	1	59
Jun 2013	26	6	0	6	2	0	6	3	1	0	0	0	2	1	53
May 2013	27	6	0	5	6	0	4	0	3	0	0	0	1	1	53
Apr 2013	23	3	0	6	2	0	4	2			0	3		0	43
Mar 2013	35	1	1	10	12	0	1	1			2	1		0	64
Feb 2013	19	8	0	11	6	0	6	7			4	0		1	62
Jan 2013	33	4	1	7	4	0	7	3			3	0		3	65
Dec 2012	16	6	1	7	6	0	5	2			5	0		2	50
Nov 2012	17	4	0	6	2	0	5	5			1	1		1	42
Oct 2012	28	5	0	6	8	1	8	2			0	0		1	59
Sep 2012	21	6	0	4	8	0	5	6			4	3		1	58
Aug 2012	32	5	2	4	6	0	11	3			1	4		0	68
Jul 2012	25	2	0	13	16	0	14	8			1	2		1	82
Jun 2012	29	5	1	2	10	0	8	6			1	1		1	64
May 2012	20	2	4	2	13	0	5	9			1	1		0	57
Apr 2012	19	10	3	4	10	0	6	9			1	1		0	63
Mar 2012	24	9	1	4	7	0	5	10			4	3		2	69
Feb 2012	18	7	0	3	5	0	8	1			1	1		1	45
Jan 2012	16	5	0	6	2	0	8	5			4	2		1	49
Dec 2011	23	9	3	3	6	0	8	2			1	0		1	56
Nov 2011	14	9	2	2	5	0	7	10			4	0		1	54
Oct 2011	20	10	0	2	6	0	11	5			3	3		1	61
Sep 2011	27	10	0	3	8	0	8	5			3	1		0	65
Aug 2011	30	3	0	2	11	15									61
Jul 2011	33	3	1	2	13	13									65
Jun 2011	20	9	0	1	6	20									56
May 2011	27	7	0	10	6	17									67
Apr 2011	28	5	2	2	7	21									65
Mar 2011	19	4	3	3	8	15									52
Feb 2011	22	9	3	6	4	6									50
Jan 2011	29	7	0	3	9	11									59
Dec 2010	24	10	0	2	11	13									60

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 E02002282

Crime Type and ASB Charts for E02002282

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".