E02002229 MSOA

E02002229

Bradford 047
Residential Population: 7,779 (mid-2020 estimate)

Males: 3,505

Females: 4,274

Population Density: 19.88 Persons per Hectare

Land Area: 391.34 Hectares

Daytime Population: 5,825

Population Density: 14.88 Persons per Hectare

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Crime in E02002229

	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	3	0	2	30	2	3	5	0	0	0	0	3	3	52
Jan 2024	3	1	0	9	37	9	8	2	4	0	0	3	3	2	81
Dec 2023	0	7	1	9	33	1	4	3	0	0	0	0	0	1	59
Nov 2023	6	1	1	6	37	7	2	1	1	0	0	1	3	1	67
Oct 2023	9	3	0	9	29	3	9	4	0	1	0	0	5	4	76
Sep 2023	16	3	1	3	26	2	8	4	2	0	0	0	8	4	77
Aug 2023	8	6	1	3	38	5	2	4	0	0	1	0	8	0	76
Jul 2023	8	5	1	5	37	2	9	3	1	0	0	2	12	1	86
Jun 2023	11	2	0	6	29	5	6	5	0	0	1	1	8	0	74
May 2023	12	11	1	6	30	1	9	4	2	0	0	0	7	4	87
Apr 2023	12	8	1	5	36	3	11	8	2	1	1	1	17	6	112
Mar 2023	0	9	0	4	45	2	5	5	4	0	0	2	6	4	86
Feb 2023	3	4	2	4	31	3	9	7	2	0	0	0	7	3	75
Jan 2023	2	6	0	4	51	1	12	3	1	0	1	1	7	2	91
Dec 2022	1	4	1	4	28	0	5	4	1	0	0	1	4	1	54
Nov 2022	3	4	1	6	33	1	15	6	2	1	0	0	9	2	83
Oct 2022	3	1	1	4	38	1	8	5	2	0	1	1	7	3	75
Sep 2022	19	3	0	4	29	2	8	7	0	0	0	0	14	1	87
Aug 2022	18	4	0	4	39	0	9	4	1	2	1	0	13	2	97
Jul 2022	16	0	0	2	57	1	10	3	0	0	0	1	14	2	106
Jun 2022	11	9	0	3	46	0	17	6	0	2	0	0	16	2	112
May 2022	8	13	1	6	50	2	18	4	1	0	0	0	10	0	113
Apr 2022	8	1	0	5	44	1	14	5	0	0	0	0	12	1	91
Mar 2022	8	1	0	7	49	0	11	7	1	0	0	1	8	2	95
Feb 2022	11	5	0	2	32	0	5	3	0	0	0	0	6	4	68
Jan 2022	8	3	0	4	41	0	7	7	1	0	2	0	10	2	85
Dec 2021	4	1	0	1	39	2	4	1	0	0	0	1	7	0	60
Nov 2021	9	3	0	1	44	2	4	4	1	0	0	0	7	0	75
Oct 2021	11	1	0	3	40	0	6	3	2	0	0	0	7	2	75
Sep 2021	10	19	0	3	38	2	4	2	1	0	1	1	7	0	88
Aug 2021	7	5	0	10	48	1	5	3	1	0	0	0	13	7	100
Jul 2021	8	4	0	10	41	0	6	4	1	0	0	1	13	3	91
Jun 2021	31	9	1	6	43	0	13	4	2	2	0	2	12	1	126
May 2021	21	2	0	6	24	0	7	1	0	0	0	0	13	3	77
Apr 2021	13	4	0	0	44	0	9	4	0	0	0	0	11	1	86
Mar 2021	11	1	0	1	32	0	5	5	2	0	0	2	11	0	70
Feb 2021	9	0	0	3	38	0	6	2	2	0	0	0	4	3	67
Jan 2021	12	4	3	5	36	0	7	4	1	0	1	1	8	0	82
Dec 2020	7	3	0	7	32	1	7	3	1	0	0	0	4	0	65
Nov 2020	9	5	0	5	26	0	3	1	1	0	0	0	7	2	59
Oct 2020	10	4	1	2	27	0	4	3	0	0	0	0	4	1	56
Sep 2020	17	2	0	5	26	2	14	4	1	0	1	1	7	1	81
Aug 2020	13	7	0	7	29	1	5	1	0	0	2	1	10	7	83
Jul 2020	18	3	0	1	37	1	11	1	1	0	0	0	16	2	91
Jun 2020	17	4	0	4	33	0	5	4	0	1	0	0	14	1	83
May 2020	17	3	0	5	26	0	4	2	0	0	0	3	9	1	70
Apr 2020	8	7	0	4	28	2	4	8	1	0	0	0	9	2	73
Mar 2020	10	2	1	11	36	1	3	3	2	0	0	0	9	6	84
Feb 2020	9	4	1	4	30	1	3	4	1	0	3	1	10	0	71
Jan 2020	6	6	0	11	23	0	5	5	4	0	0	1	10	3	74
Dec 2019	7	3	0	8	27	0	9	2	1	0	0	0	8	1	66
Nov 2019	9	8	0	14	40	0	6	2	3	0	1	0	7	4	94
Oct 2019	20	3	0	1	36	0	6	5	3	0	0	0	6	2	82
Sep 2019	5	5	0	7	42	0	7	1	0	0	0	0	6	2	75
Aug 2019	12	2	0	3	31	2	12	2	0	0	0	0	13	1	78
Jul 2019	15	2	0	3	42	4	8	4	2	0	0	0	6	0	86
Jun 2019	14	4	1	10	27	2	9	5	3	0	0	0	12	3	90
May 2019	5	3	1	7	33	0	5	2	0	1	0	0	4	3	64
Apr 2019	14	6	0	3	33	3	12	4	4	0	0	0	9	6	94
Mar 2019	6	7	0	6	26	0	6	5	1	0	0	0	13	4	74
Feb 2019	7	18	0	6	31	1	7	1	1	0	0	0	6	4	82
Jan 2019	9	14	1	7	32	1	5	4	0	0	0	1	8	4	86
Dec 2018	11	7	0	7	38	3	5	5	2	0	0	0	14	3	95
Nov 2018	12	3	0	14	35	4	13	4	1	0	0	0	4	2	92
Oct 2018	17	11	2	6	38	0	7	4	2	0	0	1	10	2	100
Sep 2018	9	4	1	8	40	0	17	3	0	0	0	2	9	6	99
Aug 2018	11	5	1	9	31	3	11	6	0	0	0	0	7	2	86
Jul 2018	18	7	1	6	47	5	13	6	0	1	0	0	8	1	113
Jun 2018	16	5	0	7	17	2	5	2	3	0	0	0	12	4	73
May 2018	15	9	1	7	37	2	12	4	0	0	0	1	6	0	94
Apr 2018	13	6	2	10	26	3	14	5	5	0	0	0	11	3	98
Mar 2018	6	6	0	8	24	5	13	2	0	0	0	0	6	3	73
Feb 2018	11	7	1	9	20	9	11	2	3	0	0	0	9	1	83
Jan 2018	10	13	0	5	40	10	5	3	0	0	0	0	4	4	94
Dec 2017	11	16	0	10	28	10	7	5	1	0	0	2	2	6	98
Nov 2017	26	20	1	8	21	8	6	7	0	0	1	0	7	2	107
Oct 2017	28	13	0	6	18	1	14	8	3	0	1	0	8	0	100
Sep 2017	10	21	2	6	18	4	5	4	0	0	0	0	3	4	77
Aug 2017	28	12	1	6	19	5	9	2	0	0	0	0	6	0	88
Jul 2017	20	15	0	10	20	15	8	5	2	0	0	0	6	3	104
Jun 2017	16	9	0	13	21	4	4	7	0	1	0	0	5	2	82
May 2017	24	6	2	9	27	5	7	12	2	1	0	1	4	0	100
Apr 2017	28	11	1	16	17	3	11	8	0	0	0	0	3	3	101
Mar 2017	17	4	0	5	9	5	13	3	1	1	0	0	0	1	59
Feb 2017	16	6	1	10	10	6	4	6	1	1	1	0	2	1	65
Jan 2017	31	8	0	16	23	6	5	3	0	0	0	1	2	8	103
Dec 2016	16	6	0	16	12	4	8	6	0	0	0	0	2	0	70
Nov 2016	13	7	1	16	9	5	3	12	0	0	0	0	0	0	66
Oct 2016	19	10	0	5	10	0	10	4	2	0	0	1	1	1	63
Sep 2016	35	10	1	12	10	3	4	8	0	0	0	0	2	0	85
Aug 2016	33	4	0	6	9	0	6	2	0	0	1	0	1	0	62
Jul 2016	11	7	0	7	15	1	7	2	0	0	0	0	5	0	55
Jun 2016	21	4	0	10	9	1	4	8	2	1	0	1	1	2	64
May 2016	16	6	0	16	16	6	3	5	2	0	0	0	4	0	74
Apr 2016	28	6	0	14	13	4	10	2	0	0	0	0	2	3	82
Mar 2016	20	6	0	9	13	2	13	3	0	0	0	0	0	0	66
Feb 2016	27	11	0	11	6	2	4	9	0	0	0	0	3	1	74
Jan 2016	32	9	0	5	8	0	0	9	0	0	1	0	4	0	68
Dec 2015	11	13	0	15	5	2	3	4	0	0	0	0	3	1	57
Nov 2015	23	19	0	5	12	0	7	2	1	0	0	0	2	0	71
Oct 2015	39	16	0	7	5	2	5	4	0	0	1	1	2	0	82
Sep 2015	37	8	0	9	7	3	9	8	1	0	0	0	3	1	86
Aug 2015	31	3	2	3	9	6	14	2	0	0	0	0	3	1	74
Jul 2015	30	12	1	10	16	1	11	6	1	1	0	0	3	2	94
Jun 2015	45	9	1	5	8	2	11	2	0	0	1	0	4	3	91
May 2015	42	14	1	13	10	2	14	8	0	1	0	0	3	0	108
Apr 2015	28	12	1	9	8	2	6	5	2	1	0	0	2	3	79
Mar 2015	33	14	2	7	17	5	3	11	1	0	0	2	2	0	97
Feb 2015	35	10	1	6	16	2	10	11	4	0	0	0	1	4	100
Jan 2015	17	12	0	6	7	0	3	5	2	0	0	0	1	2	55
Dec 2014	17	5	1	8	18	0	8	2	2	0	0	0	0	0	61
Nov 2014	22	12	2	9	10	1	13	6	0	0	0	0	0	0	75
Oct 2014	16	21	4	16	9	0	3	9	1	0	0	0	0	0	79
Sep 2014	18	16	1	10	8	1	7	15	0	0	0	0	0	1	77
Aug 2014	16	13	0	12	13	0	10	6	0	0	0	0	0	0	70
Jul 2014	33	8	2	12	8	1	8	9	0	1	0	0	2	0	84
Jun 2014	38	8	0	4	9	6	5	10	0	1	1	0	1	1	84
May 2014	25	10	0	8	17	5	2	4	0	2	1	0	2	0	76
Apr 2014	25	3	0	6	9	4	7	9	0	0	1	0	2	0	66
Mar 2014	29	2	2	15	9	3	10	13	1	0	1	1	0	0	86
Feb 2014	20	11	2	7	7	3	7	6	1	0	0	0	0	0	64
Jan 2014	38	8	0	3	4	2	15	4	0	0	1	1	0	0	76
Dec 2013	28	5	0	8	3	5	4	2	1	0	1	0	0	0	57
Nov 2013	40	13	1	7	5	1	8	3	0	0	0	0	3	0	81
Oct 2013	31	8	0	17	5	2	22	3	0	0	0	0	0	0	88
Sep 2013	23	6	0	12	7	1	10	4	0	1	0	0	0	1	65
Aug 2013	30	10	3	13	9	1	10	7	1	0	2	0	0	1	87
Jul 2013	28	8	0	17	5	2	4	5	1	1	1	0	3	2	77
Jun 2013	28	6	3	12	6	4	3	5	0	1	2	0	1	0	71
May 2013	34	6	0	10	6	1	4	2	0	0	0	0	0	0	63
Apr 2013	32	6	0	15	2	1	8	6			1	0		1	72
Mar 2013	23	7	0	5	2	1	7	2			1	1		0	49
Feb 2013	26	12	3	12	0	2	9	5			0	0		0	69
Jan 2013	35	10	0	16	6	0	10	2			2	3		1	85
Dec 2012	30	10	0	19	4	1	3	8			3	2		2	82
Nov 2012	39	14	1	7	7	1	9	6			0	1		0	85
Oct 2012	33	14	1	15	3	0	5	7			4	2		2	86
Sep 2012	24	9	0	14	3	2	5	8			2	0		1	68
Aug 2012	35	8	0	14	5	2	6	18			0	2		0	90
Jul 2012	48	11	0	20	3	0	9	15			3	0		2	111
Jun 2012	31	8	0	12	6	1	11	7			1	5		4	86
May 2012	38	4	0	15	8	1	5	22			3	2		1	99
Apr 2012	31	5	1	7	11	0	14	14			1	2		1	87
Mar 2012	31	6	0	15	7	1	8	15			0	3		1	87
Feb 2012	33	8	0	11	2	1	6	8			0	4		0	73
Jan 2012	27	8	0	14	1	1	8	3			2	1		1	66
Dec 2011	25	9	0	12	1	2	8	18			0	0		1	76
Nov 2011	21	13	1	10	4	0	12	30			1	2		1	95
Oct 2011	30	7	0	8	7	2	14	14			3	2		0	87
Sep 2011	24	4	0	11	1	2	4	9			1	0		0	56
Aug 2011	38	7	0	19	6	17									87
Jul 2011	37	5	0	8	7	9									66
Jun 2011	40	12	0	17	9	20									98
May 2011	29	12	0	9	3	19									72
Apr 2011	29	8	0	17	2	19									75
Mar 2011	39	8	0	13	4	24									88
Feb 2011	32	9	1	4	11	6									63
Jan 2011	28	10	0	11	6	12									67
Dec 2010	48	10	1	10	11	28									108

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 E02002229

Crime Type and ASB Charts for E02002229

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".