E02002130 MSOA

E02002130

Walsall 021
Residential Population: 7,106 (mid-2020 estimate)

Males: 3,502

Females: 3,604

Population Density: 43.24 Persons per Hectare

Land Area: 164.33 Hectares

Daytime Population: 5,505

Population Density: 33.50 Persons per Hectare

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Crime in E02002130

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Feb 2024	9	2	0	7	25	15	7	2	0	0	0	0	4	1	72
Jan 2024	3	1	1	5	30	18	9	2	0	0	0	0	1	3	73
Dec 2023	7	9	3	3	40	16	8	4	1	0	0	0	5	1	97
Nov 2023	12	2	4	6	31	10	11	9	4	0	0	1	3	0	93
Oct 2023	7	2	2	10	30	24	12	4	0	0	0	1	8	3	103
Sep 2023	4	0	0	3	28	10	13	2	0	0	0	1	4	2	67
Aug 2023	11	5	3	2	18	12	5	8	0	0	0	1	4	1	70
Jul 2023	13	1	2	1	41	29	11	11	1	1	0	3	4	2	120
Jun 2023	13	1	2	8	29	24	11	0	0	0	0	0	9	3	100
May 2023	6	3	1	4	41	13	8	4	3	0	0	2	2	4	91
Apr 2023	7	4	1	4	25	14	13	6	0	0	0	0	8	1	83
Mar 2023	13	6	1	5	37	15	6	7	0	0	0	2	5	1	98
Feb 2023	0	3	1	9	46	10	7	6	3	0	0	1	6	2	94
Jan 2023	4	2	0	7	35	10	10	3	2	0	0	3	7	0	83
Dec 2022	3	5	1	4	34	16	9	4	1	0	0	6	8	2	93
Nov 2022	9	6	1	7	39	6	15	2	2	0	0	4	5	0	96
Oct 2022	13	5	1	8	34	14	15	5	1	1	0	2	10	0	109
Sep 2022	7	4	4	11	25	4	8	10	2	0	1	1	4	6	87
Aug 2022	14	1	2	8	50	9	14	4	3	0	1	3	12	1	122
Jul 2022	11	2	1	8	36	10	10	1	0	0	0	1	10	3	93
Jun 2022	0	0	0	0	2	0	0	0	0	0	0	0	0	0	2
May 2022	10	3	4	6	53	8	16	8	0	0	0	0	7	1	116
Apr 2022	5	3	2	4	24	14	3	1	0	0	0	1	5	2	64
Mar 2022	5	4	0	6	32	4	5	6	1	1	0	0	9	0	73
Feb 2022	7	3	1	10	29	5	12	4	1	0	0	4	6	1	83
Jan 2022	25	4	0	11	29	10	17	3	0	0	1	1	9	2	112
Dec 2021	6	5	1	10	42	10	15	2	1	1	0	2	2	1	98
Nov 2021	6	3	3	6	11	8	8	4	0	0	0	4	3	1	57
Oct 2021	12	3	1	6	29	10	12	6	0	0	0	1	7	0	87
Sep 2021	4	1	2	11	35	6	2	5	2	0	0	4	4	1	77
Aug 2021	7	4	0	7	18	11	4	3	0	0	0	1	11	1	67
Jul 2021	13	3	1	8	45	6	7	8	2	1	0	1	7	3	105
Jun 2021	10	1	4	0	59	2	10	2	0	0	0	1	11	0	100
May 2021	5	2	2	8	35	3	6	1	1	0	1	2	6	1	73
Apr 2021	18	4	0	10	24	5	4	2	0	0	0	0	5	0	72
Mar 2021	16	5	0	8	46	2	9	6	0	0	0	0	7	2	101
Feb 2021	8	1	2	8	27	2	7	4	0	0	0	0	1	1	61
Jan 2021	11	3	1	10	35	0	11	2	0	0	0	0	5	1	79
Dec 2020	21	5	0	1	33	3	4	4	1	0	0	1	5	1	79
Nov 2020	13	3	3	5	22	4	3	3	0	0	1	1	6	2	66
Oct 2020	20	0	2	4	26	4	6	4	0	2	0	0	3	0	71
Sep 2020	23	2	0	7	32	7	9	3	1	0	0	1	4	4	93
Aug 2020	9	2	0	6	28	4	8	0	2	0	0	0	6	3	68
Jul 2020	11	2	1	3	39	4	8	1	0	2	0	2	13	7	93
Jun 2020	18	2	2	3	23	2	3	3	0	0	0	0	7	1	64
May 2020	18	3	0	2	21	6	3	5	0	0	0	2	2	2	64
Apr 2020	39	2	0	1	25	4	3	2	1	1	1	0	3	0	82
Mar 2020	11	4	0	5	21	0	14	3	0	0	0	0	5	2	65
Feb 2020	3	1	1	6	15	5	0	2	1	0	0	0	5	2	41
Jan 2020	9	2	0	7	29	3	9	3	3	0	0	0	3	2	70
Dec 2019	15	4	2	2	32	4	3	3	1	0	0	0	10	1	77
Nov 2019	8	5	1	7	18	4	6	1	2	0	0	0	3	0	55
Oct 2019	12	2	1	7	23	7	8	2	3	1	0	0	5	2	73
Sep 2019	5	1	2	3	15	10	8	6	1	0	0	1	3	1	56
Aug 2019	14	0	0	6	12	6	11	4	0	1	1	0	4	1	60
Jul 2019	13	3	0	5	22	9	5	3	1	3	0	0	3	0	67
Jun 2019	7	1	2	6	19	10	14	1	1	0	0	0	2	3	66
May 2019	12	4	0	8	23	14	11	3	2	0	0	1	5	4	87
Apr 2019	14	7	0	7	17	12	10	4	1	0	1	0	0	0	73
Mar 2019	22	6	0	9	12	5	12	6	2	0	1	0	4	2	81
Feb 2019	15	3	0	4	19	8	8	1	0	1	0	0	4	0	63
Jan 2019	10	1	2	4	25	12	12	1	1	0	0	0	2	0	70
Dec 2018	10	4	0	9	16	8	8	2	1	1	1	0	2	2	64
Nov 2018	6	3	1	4	22	12	13	2	0	0	0	0	5	1	69
Oct 2018	13	4	2	9	18	18	3	4	1	0	0	0	3	2	77
Sep 2018	9	3	0	9	10	11	6	7	0	1	0	1	2	0	59
Aug 2018	12	5	3	6	17	11	8	3	0	0	0	0	4	0	69
Jul 2018	12	4	1	4	24	5	5	1	3	0	2	0	2	4	67
Jun 2018	19	1	1	5	14	9	3	3	1	0	0	1	0	0	57
May 2018	14	1	1	6	17	14	3	3	0	1	0	0	3	0	63
Apr 2018	17	3	0	7	10	9	3	3	0	0	0	1	4	0	57
Mar 2018	13	2	2	7	17	12	2	8	0	1	1	0	2	0	67
Feb 2018	3	3	0	3	16	11	4	4	0	1	0	0	2	0	47
Jan 2018	6	4	2	8	9	6	7	5	0	0	0	0	2	0	49
Dec 2017	15	3	1	5	14	8	4	2	0	0	1	0	4	0	57
Nov 2017	19	1	4	4	13	11	5	4	0	1	0	1	0	0	63
Oct 2017	20	9	1	4	22	20	5	2	0	1	0	1	3	0	88
Sep 2017	21	3	2	6	12	13	8	6	1	0	0	0	1	0	73
Aug 2017	25	4	1	13	13	9	2	6	0	1	0	0	1	1	76
Jul 2017	20	5	2	5	12	12	3	3	0	1	0	1	2	0	66
Jun 2017	8	5	0	4	13	7	7	4	2	0	1	1	2	0	54
May 2017	15	7	4	5	20	9	11	6	2	0	0	1	2	0	82
Apr 2017	11	5	1	3	14	15	3	10	0	1	2	0	4	1	70
Mar 2017	10	4	1	9	13	8	3	8	0	1	1	0	2	0	60
Feb 2017	9	8	1	4	3	6	3	6	1	0	0	0	2	0	43
Jan 2017	11	5	1	3	12	16	7	13	0	0	0	0	0	0	68
Dec 2016	10	2	1	3	6	29	4	7	1	0	0	1	0	0	64
Nov 2016	17	5	0	2	10	6	5	4	1	2	0	1	1	0	54
Oct 2016	13	8	0	4	20	6	8	4	2	0	0	0	1	2	68
Sep 2016	10	5	0	8	9	9	6	1	1	0	1	1	1	0	52
Aug 2016	13	1	1	8	12	12	5	5	0	0	1	0	1	0	59
Jul 2016	18	4	0	1	16	17	6	6	2	1	0	0	2	1	74
Jun 2016	16	4	0	5	12	18	9	4	0	0	0	0	2	0	70
May 2016	12	3	2	6	18	6	3	3	0	0	0	0	2	1	56
Apr 2016	20	2	0	4	7	10	4	1	1	0	0	0	2	0	51
Mar 2016	21	0	0	5	4	7	12	1	1	2	0	0	3	0	56
Feb 2016	12	0	3	7	10	6	6	2	0	0	0	0	2	0	48
Jan 2016	15	0	0	5	10	7	6	1	2	0	0	0	0	2	48
Dec 2015	7	2	0	13	12	7	11	1	1	0	0	0	1	0	55
Nov 2015	4	6	0	7	12	12	13	2	1	0	0	1	2	1	61
Oct 2015	12	2	0	5	15	16	5	6	3	0	1	0	4	1	70
Sep 2015	19	2	1	3	10	11	6	4	0	0	0	0	3	2	61
Aug 2015	11	5	1	5	6	6	5	5	2	0	0	0	2	0	48
Jul 2015	16	2	0	3	7	7	6	2	2	1	0	0	1	1	48
Jun 2015	9	5	1	3	7	7	4	1	2	0	0	0	1	0	40
May 2015	13	0	0	2	8	8	2	6	0	0	1	0	2	1	43
Apr 2015	16	1	0	3	8	4	1	9	0	0	0	0	0	0	42
Mar 2015	25	2	1	7	11	9	6	4	1	0	0	0	2	0	68
Feb 2015	9	6	1	1	10	7	2	4	2	0	1	0	2	0	45
Jan 2015	14	3	2	2	5	4	6	2	2	0	1	0	1	0	42
Dec 2014	9	4	1	6	9	7	8	2	4	0	1	0	0	0	51
Nov 2014	12	3	0	3	9	4	3	4	2	0	0	0	1	0	41
Oct 2014	23	6	1	2	7	14	4	1	2	0	0	0	1	0	61
Sep 2014	24	1	0	2	3	7	4	6	1	0	0	0	4	0	52
Aug 2014	22	4	1	7	5	5	6	6	3	0	2	0	0	0	61
Jul 2014	19	3	0	4	10	10	13	7	0	0	0	0	2	3	71
Jun 2014	22	4	0	5	10	8	7	6	3	0	1	1	2	2	71
May 2014	31	3	0	4	11	4	5	5	0	0	0	1	1	1	66
Apr 2014	23	5	0	4	8	2	4	2	1	0	1	0	2	0	52
Mar 2014	24	4	0	6	6	4	5	0	2	1	0	0	3	0	55
Feb 2014	6	2	0	1	9	6	2	3	3	1	1	0	1	0	35
Jan 2014	10	3	1	3	5	5	7	5	0	1	0	0	0	0	40
Dec 2013	14	4	0	7	6	2	2	5	0	1	1	0	0	0	42
Nov 2013	7	4	0	4	6	7	5	2	1	0	0	0	1	1	38
Oct 2013	17	4	1	4	8	6	6	6	1	0	0	0	1	0	54
Sep 2013	9	5	0	3	10	3	3	1	1	0	0	1	0	0	36
Aug 2013	16	3	0	8	4	3	13	6	3	1	1	0	4	0	62
Jul 2013	22	4	3	1	12	6	4	8	3	0	0	0	1	0	64
Jun 2013	20	3	0	1	7	8	4	4	1	1	0	0	0	1	50
May 2013	22	5	0	5	10	3	9	5	0	0	0	0	2	0	61
Apr 2013	13	4	1	3	8	3	4	1			0	0		3	40
Mar 2013	27	1	0	4	6	5	4	0			0	2		1	50
Feb 2013	17	5	0	3	6	9	3	1			1	0		0	45
Jan 2013	28	6	1	0	6	5	2	1			1	0		2	52
Dec 2012	15	3	0	4	4	9	4	0			0	0		0	39
Nov 2012	8	4	0	3	2	16	9	3			0	2		1	48
Oct 2012	19	3	0	3	5	5	7	5			0	1		4	52
Sep 2012	15	5	1	2	2	6	7	5			0	0		0	43
Aug 2012	18	3	2	2	4	2	6	2			1	5		1	46
Jul 2012	20	3	0	9	6	3	5	2			3	0		2	53
Jun 2012	14	5	0	2	11	2	5	7			0	1		1	48
May 2012	23	1	0	1	9	2	2	3			0	4		2	47
Apr 2012	16	5	0	4	8	4	7	2			0	3		0	49
Mar 2012	22	3	1	1	3	1	7	6			3	1		3	51
Feb 2012	14	8	0	5	7	2	7	5			4	2		3	57
Jan 2012	15	4	0	3	7	5	8	3			0	0		1	46
Dec 2011	7	6	2	3	4	4	5	5			4	2		0	42
Nov 2011	11	12	0	2	7	2	9	3			6	0		1	53
Oct 2011	22	20	0	3	5	2	11	4			2	2		0	71
Sep 2011	23	3	0	5	4	11	8	3			5	4		3	69
Aug 2011	33	5	0	9	4	27									78
Jul 2011	22	7	0	4	8	23									64
Jun 2011	34	11	1	1	10	27									84
May 2011	25	4	0	4	5	18									56
Apr 2011	31	3	0	3	3	29									69
Mar 2011	20	4	2	3	8	24									61
Feb 2011	22	3	0	4	7	19									55
Jan 2011	19	3	1	4	7	14									48
Dec 2010	14	1	1	3	4	12									35

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 E02002130

Crime Type and ASB Charts for E02002130

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".