E02002279 MSOA

E02002279

Kirklees 009
Residential Population: 6,279 (mid-2020 estimate)

Males: 3,117

Females: 3,162

Population Density: 20.15 Persons per Hectare

Land Area: 311.60 Hectares

Daytime Population: 5,726

Population Density: 18.38 Persons per Hectare

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Crime in E02002279

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Feb 2024	1	4	0	4	30	3	4	5	4	0	0	1	4	8	68
Jan 2024	3	4	0	13	28	1	4	2	3	1	2	2	4	6	73
Dec 2023	2	3	0	2	23	1	8	4	1	0	0	0	5	0	49
Nov 2023	3	3	0	18	34	5	6	7	0	0	0	0	9	2	87
Oct 2023	3	3	0	4	31	10	8	7	0	0	0	0	8	1	75
Sep 2023	12	3	0	6	40	3	1	9	1	1	0	0	7	0	83
Aug 2023	17	4	0	5	41	1	14	7	1	2	0	1	11	2	106
Jul 2023	18	5	1	6	43	5	8	2	1	0	0	2	9	1	101
Jun 2023	4	5	1	6	27	2	11	2	2	0	1	0	11	2	74
May 2023	18	3	0	4	42	8	13	8	3	0	0	0	7	3	109
Apr 2023	8	6	0	9	51	7	12	4	5	0	0	0	11	5	118
Mar 2023	3	1	0	8	43	14	11	9	0	1	2	0	14	1	107
Feb 2023	5	2	1	4	35	17	4	4	1	0	0	0	11	3	87
Jan 2023	2	1	1	6	26	12	6	2	1	0	0	0	7	0	64
Dec 2022	2	5	0	3	24	1	6	5	1	1	1	2	3	0	54
Nov 2022	1	1	3	7	39	4	14	2	2	1	1	0	6	1	82
Oct 2022	4	9	1	4	34	5	9	5	0	0	0	0	9	1	81
Sep 2022	12	4	2	5	50	3	7	6	1	0	0	1	10	1	102
Aug 2022	5	3	0	2	48	1	9	6	0	0	1	0	15	0	90
Jul 2022	11	2	0	4	32	0	9	6	1	0	0	0	12	1	78
Jun 2022	7	9	0	4	49	3	8	6	1	0	0	0	7	1	95
May 2022	4	3	0	1	37	2	8	6	0	0	0	0	18	2	81
Apr 2022	12	4	1	2	43	1	9	5	1	0	0	1	9	6	94
Mar 2022	10	1	0	1	37	0	7	6	0	1	0	1	11	2	77
Feb 2022	5	3	0	1	34	0	9	8	0	0	3	0	8	7	78
Jan 2022	1	3	0	5	31	4	9	6	0	0	0	0	7	3	69
Dec 2021	5	7	1	5	30	2	9	7	2	1	1	1	11	2	84
Nov 2021	3	2	2	3	43	2	10	3	3	1	1	0	11	2	86
Oct 2021	9	5	0	1	48	2	10	2	1	0	0	2	11	5	96
Sep 2021	6	4	1	2	37	0	6	7	3	0	0	0	14	2	82
Aug 2021	6	5	1	5	28	2	8	3	1	0	0	1	10	3	73
Jul 2021	4	2	2	5	42	1	9	6	1	0	1	1	11	3	88
Jun 2021	9	1	0	6	20	2	6	4	3	0	0	1	6	3	61
May 2021	8	0	1	3	29	0	5	4	1	0	1	0	15	1	68
Apr 2021	4	2	0	2	31	0	6	5	0	0	0	0	9	1	60
Mar 2021	12	0	1	4	29	3	2	7	0	0	0	1	10	3	72
Feb 2021	9	0	0	1	34	1	2	9	0	0	0	0	9	1	66
Jan 2021	10	2	1	0	22	1	9	4	2	0	0	0	5	1	57
Dec 2020	4	3	1	0	25	2	4	1	1	0	0	0	6	2	49
Nov 2020	3	5	0	5	29	5	11	5	6	0	0	1	8	5	83
Oct 2020	8	4	0	4	27	3	10	3	1	0	0	0	7	4	71
Sep 2020	10	4	0	3	40	3	10	2	1	0	0	1	11	0	85
Aug 2020	9	1	1	1	25	0	6	5	1	0	0	0	9	4	62
Jul 2020	12	0	0	1	31	0	8	6	4	0	1	0	21	5	89
Jun 2020	21	5	0	4	42	0	9	6	2	0	0	1	14	5	109
May 2020	14	6	1	1	27	0	8	4	2	0	0	0	9	1	73
Apr 2020	10	7	0	4	40	1	2	2	1	0	0	1	12	0	80
Mar 2020	16	3	2	4	15	0	5	7	1	1	1	0	5	3	63
Feb 2020	3	5	0	4	21	1	6	5	2	0	3	0	9	2	61
Jan 2020	11	9	0	3	30	0	7	10	1	0	0	0	3	9	83
Dec 2019	7	3	1	5	23	1	7	5	2	0	1	0	5	1	61
Nov 2019	8	10	0	6	27	2	12	7	2	0	0	1	7	3	85
Oct 2019	19	9	0	6	27	0	5	10	0	0	0	0	4	4	84
Sep 2019	10	3	1	9	31	0	5	5	0	0	1	1	17	2	85
Aug 2019	17	2	1	3	32	1	5	12	1	2	0	0	10	3	89
Jul 2019	14	8	1	13	33	0	8	2	0	0	0	0	11	2	92
Jun 2019	7	10	0	7	28	0	10	5	1	1	0	0	9	1	79
May 2019	6	4	0	2	21	0	23	3	1	0	1	0	6	3	70
Apr 2019	10	7	0	4	27	0	8	7	1	0	1	1	9	4	79
Mar 2019	7	6	3	5	27	2	19	8	0	2	0	1	4	1	85
Feb 2019	11	5	2	8	35	0	8	9	0	1	0	0	3	2	84
Jan 2019	8	15	0	4	31	0	9	6	1	2	0	0	5	4	85
Dec 2018	8	7	2	11	36	0	11	8	0	0	0	0	7	5	95
Nov 2018	5	14	0	7	23	0	8	7	0	0	0	0	2	1	67
Oct 2018	13	6	0	2	31	0	6	3	2	0	0	1	9	1	74
Sep 2018	23	6	0	1	25	1	7	2	1	1	1	0	6	1	75
Aug 2018	14	3	0	4	35	0	4	8	1	0	0	1	6	4	80
Jul 2018	13	6	2	6	31	0	14	7	0	0	1	1	6	2	89
Jun 2018	9	6	1	7	26	1	10	4	2	0	0	2	8	7	83
May 2018	15	12	0	7	39	1	7	10	1	0	1	0	8	1	102
Apr 2018	18	10	2	3	32	1	9	6	1	1	0	1	10	0	94
Mar 2018	13	7	0	10	32	1	7	7	0	0	0	0	4	0	81
Feb 2018	13	9	1	1	19	0	6	6	0	0	0	0	4	2	61
Jan 2018	12	10	0	4	19	1	8	4	3	0	0	0	8	1	70
Dec 2017	38	2	0	3	32	2	14	2	3	0	0	2	5	3	106
Nov 2017	22	10	0	5	14	1	14	2	2	0	1	0	7	1	79
Oct 2017	30	7	1	6	23	0	6	5	0	0	0	0	8	0	86
Sep 2017	13	6	0	5	16	1	4	1	0	0	1	0	7	0	54
Aug 2017	18	7	0	2	16	1	14	6	0	2	0	0	6	4	76
Jul 2017	22	4	1	11	23	1	9	5	0	1	0	0	4	1	82
Jun 2017	23	8	0	5	17	1	6	14	1	0	1	1	11	1	89
May 2017	19	6	2	5	21	1	8	4	0	0	0	0	4	0	70
Apr 2017	12	3	0	3	19	1	5	7	0	0	0	1	3	0	54
Mar 2017	15	12	0	3	18	2	2	6	0	0	0	0	2	1	61
Feb 2017	9	5	0	8	17	0	8	4	1	0	0	1	4	1	58
Jan 2017	11	11	0	7	4	1	10	8	0	0	0	0	0	0	52
Dec 2016	19	14	0	7	19	0	8	5	0	0	0	0	2	0	74
Nov 2016	11	6	0	14	11	0	10	6	1	0	1	0	6	1	67
Oct 2016	12	14	0	5	23	3	4	4	1	1	0	0	4	1	72
Sep 2016	27	3	0	6	19	0	6	5	0	1	1	0	4	0	72
Aug 2016	22	5	0	9	10	0	5	11	0	0	0	0	3	0	65
Jul 2016	32	9	0	5	15	0	12	10	0	0	1	0	1	2	87
Jun 2016	17	10	0	10	16	1	6	8	3	0	1	0	3	1	76
May 2016	12	6	0	8	12	0	22	3	0	0	0	0	2	1	66
Apr 2016	12	11	0	4	14	0	11	6	0	2	0	0	2	2	64
Mar 2016	12	15	0	10	11	0	2	3	0	0	0	0	1	0	54
Feb 2016	18	10	1	3	5	2	5	2	0	0	0	0	0	1	47
Jan 2016	21	11	0	9	10	1	2	3	0	0	0	0	0	2	59
Dec 2015	6	26	1	7	7	0	6	8	0	0	0	1	1	1	64
Nov 2015	11	11	1	7	7	0	6	7	1	1	0	0	1	0	53
Oct 2015	22	9	1	5	13	3	3	7	1	0	0	0	0	1	65
Sep 2015	12	6	1	6	15	2	4	20	0	0	0	0	4	1	71
Aug 2015	15	3	0	8	12	2	3	7	1	1	1	1	0	0	54
Jul 2015	25	4	0	1	15	0	7	8	1	2	0	0	1	1	65
Jun 2015	14	10	0	2	12	2	7	8	1	0	0	0	1	0	57
May 2015	16	1	0	6	8	1	9	9	0	0	0	0	1	0	51
Apr 2015	15	8	1	8	9	0	19	8	2	1	1	0	3	1	76
Mar 2015	13	4	0	4	6	0	9	12	1	1	0	0	0	0	50
Feb 2015	6	7	0	7	12	1	7	4	0	0	0	0	3	0	47
Jan 2015	11	4	0	4	7	1	8	6	0	0	1	0	0	0	42
Dec 2014	12	17	0	10	10	0	2	3	0	1	0	0	0	0	55
Nov 2014	16	13	2	8	8	0	9	7	0	1	0	0	1	1	66
Oct 2014	17	8	1	3	11	1	10	2	0	2	0	0	1	1	57
Sep 2014	19	3	0	5	6	0	4	3	3	1	0	0	0	1	45
Aug 2014	22	6	0	6	14	2	2	11	1	0	0	1	1	1	67
Jul 2014	29	3	0	5	6	4	5	7	0	1	0	0	0	0	60
Jun 2014	35	7	0	5	5	0	4	5	0	1	0	0	3	0	65
May 2014	36	9	0	4	2	1	2	10	0	2	0	0	0	1	67
Apr 2014	34	9	0	3	7	1	8	8	0	0	0	0	0	0	70
Mar 2014	15	7	0	4	3	0	3	11	0	0	0	0	0	0	43
Feb 2014	7	8	0	2	2	1	2	6	3	0	0	0	0	0	31
Jan 2014	19	7	0	8	3	2	7	10	0	0	0	0	0	0	56
Dec 2013	15	6	0	5	3	0	6	4	0	0	0	0	0	0	39
Nov 2013	34	7	0	2	6	1	5	2	0	0	1	0	1	1	60
Oct 2013	20	6	0	4	3	1	5	6	0	0	0	0	0	0	45
Sep 2013	18	5	0	2	7	2	3	6	0	0	0	0	0	0	43
Aug 2013	33	9	0	3	7	1	8	12	2	0	0	0	2	1	78
Jul 2013	37	9	0	7	8	0	2	9	0	1	0	0	1	0	74
Jun 2013	36	6	0	4	5	3	4	12	1	1	0	0	0	0	72
May 2013	20	7	1	8	2	0	6	2	3	0	0	0	0	1	50
Apr 2013	29	10	1	7	1	3	8	9			1	0		1	70
Mar 2013	34	6	1	10	3	0	2	13			0	1		5	75
Feb 2013	21	5	0	6	2	5	4	11			1	0		8	63
Jan 2013	19	9	1	1	3	6	6	3			0	0		2	50
Dec 2012	12	8	0	8	5	2	6	9			2	2		2	56
Nov 2012	19	11	0	11	7	3	12	8			4	0		4	79
Oct 2012	24	8	0	3	5	4	10	11			1	0		5	71
Sep 2012	17	15	0	6	7	1	5	12			1	0		4	68
Aug 2012	24	6	0	2	3	1	7	9			1	2		7	62
Jul 2012	20	3	2	0	6	4	8	10			0	0		7	60
Jun 2012	19	10	0	7	5	4	4	13			2	1		7	72
May 2012	9	5	0	4	3	3	5	11			2	1		4	47
Apr 2012	18	4	0	7	9	3	8	6			1	0		5	61
Mar 2012	26	9	1	13	6	2	2	9			0	0		8	76
Feb 2012	31	9	0	11	2	3	10	7			5	1		8	87
Jan 2012	15	9	0	11	6	4	7	7			0	1		7	67
Dec 2011	9	3	0	9	3	1	10	14			1	3		5	58
Nov 2011	15	11	0	3	6	5	6	2			3	1		10	62
Oct 2011	15	8	0	9	7	1	4	4			2	0		3	53
Sep 2011	23	3	1	7	4	3	8	12			0	1		4	66
Aug 2011	32	5	0	8	3	19									67
Jul 2011	32	7	0	10	8	30									87
Jun 2011	30	11	0	11	9	16									77
May 2011	30	7	0	7	4	27									75
Apr 2011	33	5	1	9	1	24									73
Mar 2011	24	3	1	9	1	25									63
Feb 2011	29	5	0	12	5	26									77
Jan 2011	26	7	1	8	4	17									63
Dec 2010	8	7	1	6	8	18									48

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 E02002279

Crime Type and ASB Charts for E02002279

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".