E01025041 LSOA

E01025041

Hyndburn 006A
Residential Population: 1,650 (mid-2020 estimate)

Males: 822

Females: 828

Population Density: 32.91 Persons per Hectare

Land Area: 50.13 Hectares

Daytime Population: 3,398

Population Density: 67.78 Persons per Hectare

Jump to: Maps | Crime Trends | Property Sales | Energy Data | Road Accidents

Loading map...

Crime in E01025041

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Feb 2024	24	0	2	1	25	28	8	4	1	0	1	0	5	1	100
Jan 2024	21	2	2	1	14	7	3	4	2	2	0	0	4	1	63
Dec 2023	16	2	0	1	18	9	4	1	4	0	0	1	3	0	59
Nov 2023	19	2	0	1	16	21	4	2	1	1	0	1	2	1	71
Oct 2023	22	0	0	0	18	20	3	1	3	0	0	0	6	1	74
Sep 2023	17	3	1	0	13	12	2	1	1	0	1	1	6	1	59
Aug 2023	39	1	0	0	18	5	4	4	2	1	0	0	7	0	81
Jul 2023	31	2	1	1	16	6	5	5	1	2	0	0	3	2	75
Jun 2023	17	4	1	1	21	16	2	4	2	0	0	0	8	1	77
May 2023	22	0	1	0	21	7	3	3	1	0	0	0	3	0	61
Apr 2023	21	1	0	1	13	17	11	0	0	0	0	2	7	0	73
Mar 2023	19	1	0	7	15	3	4	3	2	0	0	0	2	1	57
Feb 2023	17	2	0	1	13	2	7	3	2	0	0	0	5	0	52
Jan 2023	18	0	0	2	14	4	2	1	4	2	0	1	5	2	55
Dec 2022	23	0	0	2	15	10	2	2	0	3	0	0	4	3	64
Nov 2022	35	3	1	2	11	6	4	3	2	0	0	0	6	0	73
Oct 2022	39	3	0	2	16	6	4	3	1	0	1	0	2	1	78
Sep 2022	25	1	0	2	15	7	3	3	0	0	2	0	13	0	71
Aug 2022	24	0	1	5	25	9	5	7	2	1	0	0	6	0	85
Jul 2022	15	0	1	1	16	4	5	4	2	0	2	1	3	1	55
Jun 2022	12	2	1	1	14	5	7	5	2	0	0	1	9	2	61
May 2022	19	4	1	6	22	11	1	8	1	0	2	1	10	0	86
Apr 2022	26	0	2	3	17	15	1	5	1	2	2	0	6	1	81
Mar 2022	28	3	2	0	16	6	6	1	2	1	0	2	4	2	73
Feb 2022	33	1	1	3	18	4	3	6	1	0	0	0	4	0	74
Jan 2022	44	5	2	1	22	6	9	3	2	0	0	3	7	2	106
Dec 2021	31	2	1	2	29	19	3	4	0	0	1	1	10	0	103
Nov 2021	29	1	0	1	19	11	3	6	2	0	0	1	9	0	82
Oct 2021	26	1	1	0	18	6	6	3	1	0	2	0	6	2	72
Sep 2021	12	3	0	1	10	4	4	3	0	0	0	1	1	0	39
Aug 2021	23	1	0	2	14	3	0	3	0	1	1	0	8	1	57
Jul 2021	31	3	1	2	12	9	1	9	0	0	0	0	6	0	74
Jun 2021	25	1	0	2	11	10	1	0	0	0	1	0	6	1	58
May 2021	35	3	0	1	10	10	5	4	2	0	1	0	9	2	82
Apr 2021	31	1	1	3	24	7	2	6	1	0	0	1	10	0	87
Mar 2021	37	2	0	3	13	10	3	3	0	0	0	1	5	3	80
Feb 2021	27	4	0	2	13	2	3	3	0	0	0	0	4	1	59
Jan 2021	37	6	1	5	12	13	5	2	2	0	0	0	8	1	92
Dec 2020	31	3	0	0	11	9	4	4	0	0	0	0	3	1	66
Nov 2020	46	0	0	0	11	7	4	5	2	0	1	0	5	0	81
Oct 2020	46	4	2	4	24	12	7	8	2	0	0	1	5	0	115
Sep 2020	42	3	5	2	22	13	2	11	0	0	0	0	8	6	114
Aug 2020	33	2	0	3	3	15	5	4	0	0	0	0	5	0	70
Jul 2020	39	3	1	2	22	8	4	4	1	0	1	0	5	0	90
Jun 2020	72	4	0	1	10	11	3	4	0	0	0	0	9	1	115
May 2020	24	6	0	1	12	4	1	3	2	1	0	0	5	0	59
Apr 2020	29	4	1	1	7	1	2	2	0	0	1	0	1	0	49
Mar 2020	27	3	0	2	14	5	1	3	2	0	0	1	8	1	67
Feb 2020	42	2	1	2	8	6	3	1	1	0	0	2	3	1	72
Jan 2020	27	2	1	2	19	11	5	6	0	0	1	0	5	0	79
Dec 2019	26	0	0	1	13	16	5	5	0	0	1	0	7	1	75
Nov 2019	52	4	0	3	11	18	6	11	0	0	1	0	9	1	116
Oct 2019	45	5	0	3	19	8	1	4	0	0	1	0	9	2	97
Sep 2019	27	3	2	1	14	10	4	4	1	0	0	0	5	3	74
Aug 2019	21	4	1	0	15	12	4	5	1	0	1	2	5	0	71
Jul 2019	27	2	0	1	12	6	1	12	2	2	1	2	7	0	75
Jun 2019	15	1	1	2	20	5	7	6	1	1	0	0	3	0	62
May 2019	38	3	1	1	17	17	7	4	0	0	0	0	4	1	93
Apr 2019	34	1	0	0	18	17	3	8	0	0	0	0	9	0	90
Mar 2019	21	1	0	0	24	17	7	8	0	0	0	1	7	2	88
Feb 2019	27	2	1	3	20	17	2	3	0	0	0	3	3	1	82
Jan 2019	27	0	0	4	13	18	2	8	1	0	2	0	5	1	81
Dec 2018	28	6	2	3	16	14	5	7	1	0	4	1	12	2	101
Nov 2018	20	6	0	3	24	13	5	7	0	0	2	0	13	0	93
Oct 2018	19	3	0	6	24	10	9	7	0	0	1	0	9	3	91
Sep 2018	12	4	2	4	17	5	3	7	2	0	3	0	10	0	69
Aug 2018	21	6	2	8	21	8	11	7	2	0	0	0	11	0	97
Jul 2018	30	5	0	5	31	14	4	13	1	1	2	0	9	2	117
Jun 2018	35	7	0	1	26	22	7	3	2	1	0	1	16	0	121
May 2018	28	10	0	2	20	17	7	14	2	0	1	0	13	1	115
Apr 2018	35	7	1	0	23	15	4	10	1	0	0	1	4	1	102
Mar 2018	21	8	0	2	24	18	4	6	0	0	1	0	6	1	91
Feb 2018	38	2	2	5	18	17	9	10	0	0	2	0	8	1	112
Jan 2018	44	2	0	3	10	14	4	4	0	0	1	0	2	0	84
Dec 2017	32	2	0	6	12	19	2	10	0	1	1	0	8	0	93
Nov 2017	28	4	1	0	20	22	2	1	2	0	1	0	2	0	83
Oct 2017	48	0	0	6	18	17	7	2	1	1	1	0	4	0	105
Sep 2017	19	3	1	3	5	11	3	2	0	0	0	0	0	0	47
Aug 2017	53	0	0	4	7	16	5	8	1	3	1	0	5	1	104
Jul 2017	44	1	0	1	12	10	5	12	2	0	1	1	1	0	90
Jun 2017	43	2	0	0	11	13	4	10	1	0	0	0	4	1	89
May 2017	35	1	1	1	11	10	11	4	0	1	2	0	1	0	78
Apr 2017	48	3	0	2	14	12	5	6	1	0	1	0	3	1	96
Mar 2017	36	3	2	3	10	12	7	6	0	0	1	0	0	2	82
Feb 2017	31	4	0	1	14	9	7	7	0	0	2	0	5	0	80
Jan 2017	34	2	0	2	16	11	5	3	0	0	1	0	2	1	77
Dec 2016	33	5	0	1	7	6	0	3	0	0	0	1	2	0	58
Nov 2016	39	0	1	1	8	11	3	13	0	0	2	0	3	0	81
Oct 2016	49	1	1	1	7	6	4	2	1	0	0	0	1	0	73
Sep 2016	32	3	0	2	6	9	7	5	0	0	0	0	1	0	65
Aug 2016	46	3	1	7	7	15	5	5	0	0	0	0	1	1	91
Jul 2016	34	6	1	2	14	19	5	3	0	1	0	0	2	1	88
Jun 2016	21	4	0	4	10	12	9	7	0	0	0	0	0	1	68
May 2016	27	0	0	0	8	11	5	5	1	0	1	0	2	0	60
Apr 2016	36	0	1	0	8	9	1	5	0	0	1	0	5	1	67
Mar 2016	27	2	0	3	7	6	11	7	0	0	0	0	1	0	64
Feb 2016	42	5	0	1	12	7	3	6	0	0	0	0	0	0	76
Jan 2016	41	6	0	0	10	6	2	6	1	0	0	0	1	0	73
Dec 2015	43	3	0	1	8	6	12	3	0	0	1	0	1	0	78
Nov 2015	35	1	0	0	7	6	1	2	1	0	1	1	4	0	59
Oct 2015	49	6	0	6	12	7	7	4	0	0	0	0	1	0	92
Sep 2015	25	1	1	3	8	9	4	5	2	0	1	0	2	0	61
Aug 2015	47	2	0	2	11	6	4	9	2	0	0	0	1	0	84
Jul 2015	32	1	0	2	6	6	2	6	0	0	1	0	1	0	57
Jun 2015	37	0	0	5	10	6	2	4	2	1	0	0	3	0	70
May 2015	40	4	0	8	8	7	4	8	0	0	2	0	1	0	82
Apr 2015	34	4	0	5	7	9	5	1	2	0	0	0	0	0	67
Mar 2015	37	3	0	7	6	5	5	5	1	0	0	0	0	2	71
Feb 2015	36	1	1	1	8	9	7	4	1	0	0	0	1	1	70
Jan 2015	56	7	0	6	4	9	6	5	2	0	1	0	4	1	101
Dec 2014	17	1	0	4	4	8	2	4	3	0	0	0	1	0	44
Nov 2014	37	1	0	2	11	8	0	4	0	0	0	0	0	0	63
Oct 2014	37	1	0	2	13	11	3	2	1	0	0	1	2	1	74
Sep 2014	26	0	0	2	8	10	2	8	4	0	0	0	0	1	61
Aug 2014	32	2	0	0	5	6	1	4	2	1	0	0	2	1	56
Jul 2014	34	2	1	0	7	4	10	7	2	0	0	0	1	0	68
Jun 2014	36	1	0	1	8	4	3	5	2	2	0	0	4	1	67
May 2014	22	1	1	3	4	4	3	3	2	1	0	0	1	1	46
Apr 2014	23	2	0	3	9	7	4	1	1	1	0	0	1	0	52
Mar 2014	31	4	0	1	11	8	7	5	1	0	1	0	3	1	73
Feb 2014	20	5	0	0	13	9	2	1	1	0	0	0	5	0	56
Jan 2014	25	2	0	1	7	9	3	3	1	0	0	0	1	0	52
Dec 2013	29	1	0	1	7	9	5	3	2	0	1	0	0	1	59
Nov 2013	38	3	0	1	6	3	7	5	0	1	1	0	0	0	65
Oct 2013	49	3	0	4	8	13	5	6	2	0	0	1	2	0	93
Sep 2013	35	2	0	1	3	7	2	7	1	2	0	0	1	0	61
Aug 2013	35	3	0	2	6	11	2	3	1	0	0	0	2	0	65
Jul 2013	61	4	1	2	10	15	3	6	0	0	0	0	2	3	107
Jun 2013	25	2	0	1	4	14	2	3	2	1	0	1	1	1	57
May 2013	55	0	0	0	8	12	4	3	1	0	0	1	1	2	87
Apr 2013	27	3	0	2	7	10	3	3			1	1		0	57
Mar 2013	45	3	0	4	3	11	5	7			0	0		3	81
Feb 2013	34	3	0	2	5	7	3	4			2	2		1	63
Jan 2013	45	3	0	5	5	4	3	2			3	0		2	72
Dec 2012	37	1	0	1	8	3	4	5			2	0		0	61
Nov 2012	41	3	1	1	6	6	3	1			3	3		3	71
Oct 2012	43	1	0	1	5	7	10	8			0	2		3	80
Sep 2012	43	0	0	1	7	8	6	3			2	1		2	73
Aug 2012	45	1	0	2	7	9	3	7			0	2		2	78
Jul 2012	41	6	0	1	5	4	5	5			3	4		2	76
Jun 2012	36	2	0	3	6	9	4	6			1	2		0	69
May 2012	37	0	0	1	13	15	1	4			6	1		2	80
Apr 2012	23	1	1	1	4	10	3	4			1	2		0	50
Mar 2012	30	1	0	2	5	10	7	8			1	0		0	64
Feb 2012	15	1	0	1	8	6	4	3			1	4		3	46
Jan 2012	24	1	0	3	3	11	2	4			1	3		4	56
Dec 2011	38	1	1	4	3	7	3	3			4	0		0	64
Nov 2011	32	3	0	2	3	11	4	3			2	2		0	62
Oct 2011	38	0	0	3	8	4	7	6			1	0		3	70
Sep 2011	26	3	0	3	9	8	1	7			2	0		2	61
Aug 2011	55	3	1	2	8	25									94
Jul 2011	45	3	0	2	9	36									95
Jun 2011	37	1	0	4	8	25									75
May 2011	46	1	0	1	10	34									92
Apr 2011	55	0	0	1	8	21									85
Mar 2011	42	2	0	3	8	32									87
Feb 2011	26	1	0	0	1	23									51
Jan 2011	38	1	0	1	5	24									69
Dec 2010	49	1	0	1	7	18									76

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 E01025041

Crime Type and ASB Charts for E01025041

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".