E01012655 LSOA

E01012655

Blackburn with Darwen 006E
Residential Population: 2,143 (mid-2020 estimate)

Males: 1,256

Females: 887

Population Density: 28.32 Persons per Hectare

Land Area: 75.67 Hectares

Daytime Population: 5,345

Population Density: 70.64 Persons per Hectare

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Crime in E01012655

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Feb 2024	15	2	3	5	31	42	5	5	0	0	1	0	8	2	119
Jan 2024	15	1	1	4	18	19	5	2	1	0	0	2	4	0	72
Dec 2023	16	8	0	4	20	24	3	7	0	3	0	1	5	1	92
Nov 2023	26	2	0	1	15	37	3	5	0	1	0	1	10	0	101
Oct 2023	36	3	2	3	24	41	4	6	0	0	3	1	2	1	126
Sep 2023	27	2	4	2	24	17	1	12	1	1	0	1	10	1	103
Aug 2023	22	3	0	2	22	19	3	4	4	3	2	1	2	0	87
Jul 2023	20	3	0	14	13	41	7	6	2	2	4	1	4	1	118
Jun 2023	36	1	0	3	46	39	7	8	0	1	0	3	12	2	158
May 2023	30	2	0	2	32	22	6	4	1	0	0	1	8	1	109
Apr 2023	19	1	1	2	22	21	6	5	3	0	0	0	2	0	82
Mar 2023	25	2	1	2	25	25	7	7	1	0	1	1	2	4	103
Feb 2023	13	1	2	5	22	37	3	4	5	0	1	0	5	0	98
Jan 2023	22	1	0	2	38	21	3	4	1	1	1	1	1	2	98
Dec 2022	12	3	0	4	22	22	4	6	3	1	0	1	5	1	84
Nov 2022	21	2	0	1	21	18	1	6	2	2	1	0	6	3	84
Oct 2022	35	3	1	3	19	33	5	5	1	0	0	1	9	1	116
Sep 2022	32	3	1	3	33	30	8	3	1	1	0	0	6	1	122
Aug 2022	27	3	0	1	14	27	5	14	0	1	0	0	6	2	100
Jul 2022	22	0	0	2	26	9	7	3	1	1	2	1	6	0	80
Jun 2022	24	4	2	1	34	15	5	1	2	0	1	0	4	0	93
May 2022	33	2	2	0	33	20	6	5	3	1	1	1	9	2	118
Apr 2022	30	10	0	1	24	19	3	5	1	0	1	0	4	2	100
Mar 2022	30	6	0	0	35	20	3	5	2	0	1	0	9	2	113
Feb 2022	12	1	2	3	32	13	2	5	2	0	0	1	3	0	76
Jan 2022	21	2	1	7	34	20	5	6	1	0	0	0	9	1	107
Dec 2021	32	12	0	4	42	26	4	8	1	1	1	0	7	0	138
Nov 2021	22	7	2	1	26	7	12	8	3	3	0	0	6	2	99
Oct 2021	23	6	1	2	44	13	7	7	7	1	1	1	4	1	118
Sep 2021	45	7	1	0	34	14	4	11	1	1	0	0	8	2	128
Aug 2021	38	6	1	6	23	27	7	9	2	0	0	0	10	2	131
Jul 2021	37	8	4	2	29	20	7	4	2	0	0	1	11	2	127
Jun 2021	42	2	0	1	17	24	10	5	4	0	0	1	10	0	116
May 2021	35	5	2	3	25	33	10	5	2	0	0	0	11	2	133
Apr 2021	40	0	0	2	17	30	10	10	2	0	0	0	16	1	128
Mar 2021	37	1	0	1	28	17	3	2	3	0	2	0	12	0	106
Feb 2021	40	9	0	4	13	17	3	1	3	0	0	0	5	2	97
Jan 2021	48	0	1	4	20	26	6	6	1	1	0	0	6	0	119
Dec 2020	32	5	0	2	17	17	2	6	1	0	0	1	6	0	89
Nov 2020	35	1	2	0	16	4	4	6	1	0	0	0	2	1	72
Oct 2020	49	6	0	1	26	8	7	5	4	0	0	1	10	2	119
Sep 2020	40	2	2	0	30	7	9	9	0	0	2	0	7	2	110
Aug 2020	27	8	1	2	23	3	7	4	4	0	0	0	10	3	92
Jul 2020	27	5	1	0	29	7	7	3	2	0	0	0	9	1	91
Jun 2020	48	4	3	1	16	2	8	1	2	0	0	1	7	4	97
May 2020	40	7	1	2	22	4	3	1	4	0	0	0	7	0	91
Apr 2020	46	2	1	3	13	10	2	5	1	0	0	0	4	2	89
Mar 2020	27	4	2	3	21	7	8	9	3	0	0	1	7	3	95
Feb 2020	17	7	2	1	26	4	8	10	3	0	0	1	10	3	92
Jan 2020	22	8	0	1	31	7	8	8	0	0	1	1	8	2	97
Dec 2019	23	8	2	2	15	4	7	6	2	0	2	1	8	0	80
Nov 2019	29	12	1	1	30	7	14	10	2	2	1	1	4	6	120
Oct 2019	26	9	1	2	39	2	7	7	0	0	1	1	10	2	107
Sep 2019	23	2	1	4	12	12	10	8	3	1	0	1	8	1	86
Aug 2019	23	2	0	2	19	10	8	8	0	0	3	0	9	1	85
Jul 2019	18	3	2	9	27	6	11	13	0	1	2	0	13	0	105
Jun 2019	19	7	0	9	27	2	12	9	3	2	2	1	11	2	106
May 2019	17	7	3	4	24	7	12	11	2	0	1	1	7	0	96
Apr 2019	21	4	0	5	42	6	6	9	2	0	1	0	2	2	100
Mar 2019	32	8	1	4	32	7	12	6	2	0	4	2	9	1	120
Feb 2019	24	7	0	2	29	1	5	9	3	1	1	0	10	0	92
Jan 2019	19	4	3	11	22	1	9	10	0	0	0	0	10	2	91
Dec 2018	26	8	2	2	28	4	10	11	2	0	1	1	9	2	106
Nov 2018	26	8	1	6	30	2	9	14	7	2	1	0	17	3	126
Oct 2018	25	10	1	6	34	5	12	16	1	1	2	0	15	1	129
Sep 2018	33	18	2	8	53	5	15	16	1	3	4	0	21	3	182
Aug 2018	32	8	1	2	27	5	11	13	0	2	1	0	12	0	114
Jul 2018	30	4	1	3	46	7	7	5	0	1	2	2	14	1	123
Jun 2018	35	6	1	1	43	3	7	8	3	0	1	0	16	2	126
May 2018	29	4	1	6	39	4	9	6	0	0	0	0	13	2	113
Apr 2018	29	2	0	2	23	7	7	5	3	0	3	0	10	2	93
Mar 2018	30	8	1	4	21	6	4	6	2	1	3	1	7	1	95
Feb 2018	27	9	1	0	16	8	5	9	2	0	1	1	13	2	94
Jan 2018	26	11	0	11	19	3	7	12	1	0	1	1	6	0	98
Dec 2017	37	10	1	5	30	3	3	10	0	1	1	0	5	1	107
Nov 2017	33	9	1	3	27	5	6	10	0	4	2	1	4	1	106
Oct 2017	39	7	0	2	18	13	11	11	3	0	1	0	2	0	107
Sep 2017	25	4	0	0	19	5	4	11	1	0	2	1	4	0	76
Aug 2017	40	5	1	2	20	5	14	18	1	0	4	0	5	1	116
Jul 2017	40	9	3	2	22	6	8	7	3	0	1	0	6	0	107
Jun 2017	17	2	1	2	22	5	3	7	0	2	3	1	5	3	73
May 2017	52	4	1	2	18	5	4	11	1	0	1	1	7	0	107
Apr 2017	28	13	2	4	13	5	6	9	1	0	1	1	4	0	87
Mar 2017	23	5	1	2	21	5	5	8	0	0	1	0	2	2	75
Feb 2017	18	2	0	3	17	5	9	7	1	0	2	0	0	0	64
Jan 2017	28	3	1	3	11	3	8	10	10	0	0	0	5	1	83
Dec 2016	26	4	1	1	16	2	4	8	1	0	0	0	0	1	64
Nov 2016	33	6	1	3	12	1	6	9	3	0	1	0	2	2	79
Oct 2016	51	7	1	2	14	3	10	6	1	0	2	0	3	0	100
Sep 2016	40	2	1	2	9	4	5	5	0	0	0	2	0	0	70
Aug 2016	30	2	0	2	8	4	6	6	0	1	1	0	2	1	63
Jul 2016	40	9	0	1	16	1	5	6	0	2	2	0	2	2	86
Jun 2016	55	3	1	2	24	5	5	11	2	0	1	0	3	0	112
May 2016	47	2	1	1	26	2	4	9	1	2	2	2	5	0	104
Apr 2016	23	3	0	1	13	1	12	10	1	0	0	0	2	3	69
Mar 2016	38	4	1	1	10	6	2	6	1	0	0	0	1	1	71
Feb 2016	26	0	0	5	12	9	1	5	1	0	1	0	1	1	62
Jan 2016	31	3	0	3	12	9	7	9	1	0	1	0	5	2	83
Dec 2015	28	4	0	3	11	6	5	8	0	1	1	0	1	0	68
Nov 2015	24	3	1	2	13	4	8	4	2	0	0	0	1	0	62
Oct 2015	32	3	1	2	15	6	4	11	3	1	1	1	5	1	86
Sep 2015	42	0	0	1	12	12	2	8	2	1	1	0	2	0	83
Aug 2015	48	7	1	5	8	7	3	2	3	1	1	0	2	1	89
Jul 2015	46	10	0	2	14	5	6	7	1	2	0	0	2	0	95
Jun 2015	48	5	0	2	16	13	4	2	1	0	0	0	1	0	92
May 2015	46	3	0	1	17	6	8	8	2	1	1	0	2	0	95
Apr 2015	54	4	4	4	17	6	6	8	0	1	0	0	1	1	106
Mar 2015	40	6	0	9	8	5	6	7	3	1	1	0	1	0	87
Feb 2015	38	6	0	7	9	6	3	6	1	0	1	0	1	0	78
Jan 2015	36	1	0	4	19	2	4	9	4	0	1	0	1	1	82
Dec 2014	41	1	1	7	17	3	5	9	1	0	1	0	3	1	90
Nov 2014	50	1	0	5	15	7	7	7	2	1	11	1	4	1	112
Oct 2014	51	4	0	3	13	7	5	12	4	0	0	1	4	0	104
Sep 2014	58	1	0	2	12	8	6	9	4	0	0	1	1	2	104
Aug 2014	31	4	1	1	7	3	12	7	5	0	0	0	2	2	75
Jul 2014	49	3	0	4	14	10	11	13	1	0	2	1	6	3	117
Jun 2014	34	5	2	4	10	6	8	8	1	0	2	0	1	1	82
May 2014	42	3	0	2	12	8	3	7	3	0	1	0	1	1	83
Apr 2014	39	4	0	1	9	3	4	5	1	0	1	0	2	0	69
Mar 2014	29	3	0	4	1	6	5	6	1	0	1	1	3	0	60
Feb 2014	38	4	0	3	6	2	5	4	3	0	0	0	1	0	66
Jan 2014	31	7	1	5	11	6	6	6	2	1	1	0	1	0	78
Dec 2013	32	2	2	4	15	10	5	5	3	0	1	0	1	0	80
Nov 2013	44	5	1	4	7	5	10	4	4	1	1	0	1	0	87
Oct 2013	62	5	2	6	8	4	2	8	3	0	1	0	2	1	104
Sep 2013	53	6	0	4	12	8	10	3	0	0	3	0	2	1	102
Aug 2013	50	4	0	3	12	8	9	10	1	3	1	0	5	0	106
Jul 2013	83	4	0	2	11	3	5	8	2	1	0	0	4	0	123
Jun 2013	42	8	0	5	8	5	5	10	1	3	1	1	2	0	91
May 2013	56	10	1	3	6	4	8	13	2	0	0	0	1	0	104
Apr 2013	51	10	0	2	8	5	3	8			0	3		0	90
Mar 2013	37	4	2	3	14	6	2	8			1	2		0	79
Feb 2013	45	2	1	2	8	10	4	9			4	0		0	85
Jan 2013	43	2	0	2	8	4	1	5			2	2		0	69
Dec 2012	36	4	1	4	6	5	2	11			0	1		2	72
Nov 2012	53	3	0	4	9	7	4	5			2	2		0	89
Oct 2012	49	2	2	5	5	5	8	6			3	2		1	88
Sep 2012	58	6	1	2	9	6	8	5			0	4		1	100
Aug 2012	70	1	0	5	10	8	4	5			2	1		3	109
Jul 2012	52	6	0	2	6	3	6	8			1	4		2	90
Jun 2012	46	0	1	3	8	7	7	3			2	3		1	81
May 2012	63	5	0	2	9	5	7	8			2	2		2	105
Apr 2012	52	2	2	0	7	12	6	4			6	0		0	91
Mar 2012	54	2	2	3	7	14	9	3			2	1		1	98
Feb 2012	52	4	0	1	6	3	4	2			0	2		3	77
Jan 2012	49	7	1	2	12	3	8	6			2	2		2	94
Dec 2011	57	3	0	3	8	5	6	2			4	0		1	89
Nov 2011	76	3	0	5	11	30	11	16			5	5		5	167
Oct 2011	78	1	0	7	8	22	11	14			2	1		5	149
Sep 2011	64	5	0	4	12	32	9	6			5	1		0	138
Aug 2011	112	5	1	5	17	41									181
Jul 2011	97	2	2	2	14	50									167
Jun 2011	90	9	1	5	12	70									187
May 2011	107	8	2	11	15	49									192
Apr 2011	109	0	0	0	23	53									185
Mar 2011	82	3	2	2	14	50									153
Feb 2011	90	6	0	4	16	46									162
Jan 2011	80	0	0	2	8	34									124
Dec 2010	69	5	1	0	9	34									118

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 E01012655

Crime Type and ASB Charts for E01012655

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".