E02002140 MSOA

E02002140

Walsall 031
Residential Population: 8,935 (mid-2020 estimate)

Males: 4,487

Females: 4,448

Population Density: 46.40 Persons per Hectare

Land Area: 192.57 Hectares

Daytime Population: 7,255

Population Density: 37.67 Persons per Hectare

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Crime in E02002140

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Feb 2024	3	2	4	7	41	3	4	2	1	0	0	0	9	1	77
Jan 2024	8	4	3	11	38	2	7	7	2	0	0	2	2	0	86
Dec 2023	3	4	0	2	45	3	8	2	0	0	0	2	4	2	75
Nov 2023	4	8	4	2	35	1	11	5	2	0	1	4	4	2	83
Oct 2023	5	4	2	6	51	3	8	25	2	1	0	5	5	1	118
Sep 2023	5	5	4	9	42	2	7	29	3	0	1	1	8	1	117
Aug 2023	9	4	0	13	46	4	4	33	0	0	0	0	3	0	116
Jul 2023	3	7	1	6	35	2	6	34	2	1	0	3	5	2	107
Jun 2023	12	2	0	4	36	1	9	20	4	1	0	2	2	3	96
May 2023	5	4	1	8	52	1	10	19	2	1	1	2	6	1	113
Apr 2023	3	3	0	9	36	0	8	33	3	0	0	2	9	0	106
Mar 2023	8	6	2	8	44	4	11	41	2	0	0	1	2	0	129
Feb 2023	3	4	2	10	53	1	2	28	1	0	0	1	1	0	106
Jan 2023	7	5	1	14	37	2	6	48	0	0	1	0	8	2	131
Dec 2022	9	5	2	19	48	3	9	54	3	0	0	2	8	1	163
Nov 2022	8	7	5	16	29	3	8	34	3	0	2	2	5	1	123
Oct 2022	5	3	0	10	55	2	7	27	7	0	1	2	10	4	133
Sep 2022	7	5	0	6	50	0	10	28	0	0	0	3	9	2	120
Aug 2022	10	2	2	6	44	5	4	32	0	1	0	1	9	2	118
Jul 2022	3	8	0	3	55	1	11	29	2	0	2	2	7	2	125
May 2022	6	9	0	11	44	1	9	22	3	1	0	2	10	1	119
Apr 2022	4	5	0	13	42	2	10	22	3	1	0	1	8	4	115
Mar 2022	4	14	1	11	48	0	12	34	3	1	0	3	5	2	138
Feb 2022	5	11	0	10	37	1	8	40	3	3	0	1	11	1	131
Jan 2022	4	10	1	10	54	0	9	25	1	0	0	1	2	2	119
Dec 2021	2	7	3	4	57	2	7	26	1	0	0	1	9	5	124
Nov 2021	10	5	4	20	47	3	7	25	1	1	0	2	8	2	135
Oct 2021	6	6	2	13	35	2	5	27	0	0	1	4	2	1	104
Sep 2021	3	1	0	3	45	2	6	17	0	0	1	1	10	1	90
Aug 2021	1	0	2	15	46	0	11	14	1	0	2	3	15	7	117
Jul 2021	8	9	0	12	41	1	7	12	3	0	2	5	10	3	113
Jun 2021	6	4	1	4	49	0	9	16	3	0	1	0	12	1	106
May 2021	6	4	1	5	44	2	6	12	2	0	1	2	5	0	90
Apr 2021	10	1	1	7	52	0	6	11	0	0	0	1	11	2	102
Mar 2021	16	4	1	8	59	3	8	17	2	0	0	2	13	0	133
Feb 2021	10	4	0	12	39	1	7	7	1	1	0	2	6	2	92
Jan 2021	12	7	2	7	32	1	2	11	2	0	0	0	3	1	80
Dec 2020	8	10	2	7	46	1	4	15	3	0	0	0	14	2	112
Nov 2020	11	9	1	7	37	1	2	11	1	1	0	1	11	1	94
Oct 2020	14	3	2	4	48	0	11	12	4	0	1	0	8	2	109
Sep 2020	10	1	3	8	35	2	8	19	0	1	0	1	5	3	96
Aug 2020	16	5	2	2	45	2	9	19	1	1	0	1	7	1	111
Jul 2020	11	7	0	3	44	2	10	14	3	0	0	1	8	5	108
Jun 2020	9	3	0	2	30	0	3	3	4	1	0	1	4	2	62
May 2020	13	2	1	4	52	1	12	9	3	0	0	1	10	1	109
Apr 2020	8	4	2	5	30	2	2	7	1	0	0	1	3	1	66
Mar 2020	2	5	1	9	36	1	8	15	0	0	0	2	4	0	83
Feb 2020	9	4	0	18	28	0	0	16	1	0	0	2	8	1	87
Jan 2020	6	6	0	13	25	0	4	14	2	0	0	0	5	1	76
Dec 2019	7	6	2	7	32	1	6	15	4	0	0	1	5	3	89
Nov 2019	4	4	2	9	21	4	9	7	1	1	0	0	2	2	66
Oct 2019	7	9	3	9	28	1	10	10	1	0	0	0	3	1	82
Sep 2019	4	2	1	6	14	1	8	10	2	0	2	1	0	1	52
Aug 2019	12	8	0	9	22	1	10	3	1	0	0	1	5	3	75
Jul 2019	27	5	1	7	37	1	10	4	3	0	1	0	7	3	106
Jun 2019	7	3	2	5	34	0	8	5	3	0	0	0	8	0	75
May 2019	13	7	1	10	25	0	7	1	3	0	0	0	2	0	69
Apr 2019	10	0	1	13	19	1	11	5	0	0	0	1	4	1	66
Mar 2019	6	5	3	8	26	2	8	9	0	0	0	0	1	2	70
Feb 2019	13	6	1	7	22	0	12	8	1	0	0	0	3	2	75
Jan 2019	15	7	2	5	20	1	6	17	0	0	1	0	6	2	82
Dec 2018	7	10	2	10	23	1	9	26	2	1	2	1	5	3	102
Nov 2018	12	9	0	9	30	0	8	23	2	0	1	0	5	2	101
Oct 2018	13	2	0	13	24	1	6	21	1	0	0	1	4	2	88
Sep 2018	12	2	0	9	17	0	7	32	0	0	1	2	2	2	86
Aug 2018	13	7	3	6	24	0	3	15	2	0	0	0	5	0	78
Jul 2018	17	6	3	4	23	2	3	23	1	0	1	0	4	0	87
Jun 2018	19	7	4	4	32	1	8	28	4	0	0	0	4	1	112
May 2018	13	11	2	8	19	0	8	23	1	0	0	0	4	0	89
Apr 2018	19	9	3	11	18	0	11	20	2	0	0	1	2	0	96
Mar 2018	18	8	5	13	23	0	5	12	1	0	0	0	4	1	90
Feb 2018	9	6	1	7	19	2	9	6	0	0	0	0	6	0	65
Jan 2018	22	9	2	5	17	1	7	6	2	0	1	1	5	3	81
Dec 2017	15	8	2	9	15	1	8	4	0	0	0	0	1	1	64
Nov 2017	11	4	0	8	19	0	8	18	2	0	0	0	2	0	72
Oct 2017	2	10	3	13	28	1	9	13	1	1	0	0	3	1	85
Sep 2017	9	2	1	11	10	1	5	18	2	0	1	0	4	1	65
Aug 2017	18	10	0	3	14	1	12	9	1	0	0	0	3	2	73
Jul 2017	9	2	2	5	8	0	7	12	0	0	2	0	1	1	49
Jun 2017	18	6	1	8	13	2	12	13	3	1	0	0	2	0	79
May 2017	17	6	2	14	24	0	12	11	0	0	0	1	3	1	91
Apr 2017	13	5	2	7	19	0	11	8	1	0	0	0	0	1	67
Mar 2017	12	9	2	9	9	1	1	6	2	1	0	0	2	0	54
Feb 2017	14	9	0	7	17	2	10	13	2	0	0	0	3	0	77
Jan 2017	8	9	0	9	28	1	13	9	2	0	0	0	3	1	83
Dec 2016	12	11	3	9	21	0	12	7	1	0	0	0	5	0	81
Nov 2016	7	6	2	4	24	2	8	8	2	0	0	0	1	2	66
Oct 2016	18	5	5	9	19	0	4	4	2	0	0	1	4	0	71
Sep 2016	8	2	3	2	23	0	2	9	1	1	0	1	5	1	58
Aug 2016	11	7	2	7	17	1	5	2	5	0	0	0	0	1	58
Jul 2016	17	7	2	3	16	1	4	6	0	0	0	0	4	1	61
Jun 2016	18	5	0	9	15	1	15	7	0	0	0	0	3	2	75
May 2016	21	4	2	4	18	1	7	8	0	2	1	0	4	1	73
Apr 2016	12	4	2	9	16	2	8	10	0	0	2	0	3	0	68
Mar 2016	11	8	0	12	17	2	5	6	1	0	2	3	1	1	69
Feb 2016	13	10	0	11	14	0	9	7	3	1	1	0	2	0	71
Jan 2016	6	7	1	7	26	3	6	5	1	2	0	0	3	1	68
Dec 2015	11	4	0	8	10	2	9	7	4	0	0	0	1	1	57
Nov 2015	8	5	0	5	14	0	11	4	0	0	0	1	2	0	50
Oct 2015	23	5	0	5	21	0	6	3	1	0	3	0	2	1	70
Sep 2015	10	3	2	8	23	2	7	4	1	2	0	0	3	1	66
Aug 2015	16	6	1	5	12	0	9	11	1	0	1	0	2	1	65
Jul 2015	14	11	1	13	10	0	5	7	1	0	0	0	2	0	64
Jun 2015	21	7	1	16	11	1	7	5	4	0	0	0	2	0	75
May 2015	20	0	0	8	12	0	11	11	0	1	0	0	1	1	65
Apr 2015	10	7	0	12	10	1	3	7	3	1	0	0	2	1	57
Mar 2015	16	9	0	5	13	3	10	8	2	0	0	0	2	0	68
Feb 2015	14	4	3	10	14	3	11	8	1	0	1	0	2	0	71
Jan 2015	13	8	4	8	17	1	13	8	5	0	1	0	1	0	79
Dec 2014	14	14	3	9	14	1	12	4	5	0	1	0	0	1	78
Nov 2014	12	14	3	6	9	4	11	12	1	1	1	0	4	0	78
Oct 2014	20	10	2	8	15	1	6	11	0	1	1	0	1	2	78
Sep 2014	29	2	5	14	15	0	7	15	3	0	1	0	1	1	93
Aug 2014	23	9	3	12	12	3	10	9	0	2	0	1	5	1	90
Jul 2014	31	9	0	7	22	3	16	6	3	1	2	0	3	0	103
Jun 2014	23	3	0	7	20	1	11	9	0	0	0	0	0	2	76
May 2014	18	3	2	7	15	3	9	7	3	0	0	1	3	1	72
Apr 2014	20	16	1	3	8	4	8	6	2	0	0	1	2	1	72
Mar 2014	10	12	2	5	10	3	8	10	1	0	2	0	8	6	77
Feb 2014	11	4	0	5	7	1	6	9	0	0	0	1	0	3	47
Jan 2014	9	11	1	4	7	1	7	5	4	0	0	0	0	0	49
Dec 2013	10	6	0	1	9	1	7	6	0	1	2	0	0	2	45
Nov 2013	11	5	1	0	6	2	8	11	1	0	2	0	2	0	49
Oct 2013	15	10	0	7	14	0	8	11	1	1	1	0	0	0	68
Sep 2013	12	7	1	3	11	1	7	3	0	0	0	0	0	1	46
Aug 2013	20	3	4	6	13	1	7	6	3	2	0	0	1	0	66
Jul 2013	18	5	1	2	12	3	7	10	1	0	1	1	4	1	66
Jun 2013	15	7	1	4	7	2	5	6	2	1	0	0	0	1	51
May 2013	19	3	0	1	11	3	1	11	4	0	2	0	0	0	55
Apr 2013	13	4	1	3	8	4	9	7			0	3		7	59
Mar 2013	16	4	0	1	8	2	6	2			0	3		6	48
Feb 2013	9	7	1	0	14	2	5	3			7	0		12	60
Jan 2013	9	4	0	6	7	3	3	4			4	1		7	48
Dec 2012	17	3	2	5	7	0	7	1			0	0		3	45
Nov 2012	11	3	0	3	2	1	4	5			0	4		8	41
Oct 2012	14	5	1	6	4	0	4	9			1	3		6	53
Sep 2012	14	6	1	8	13	4	9	3			3	7		2	70
Aug 2012	25	7	0	6	11	4	19	8			0	0		5	85
Jul 2012	24	6	1	5	7	1	12	3			3	4		4	70
Jun 2012	16	7	2	11	4	1	6	7			1	3		5	63
May 2012	18	7	3	7	12	3	5	4			2	3		3	67
Apr 2012	26	4	0	3	9	3	3	1			3	2		4	58
Mar 2012	25	3	0	5	10	5	6	6			3	1		3	67
Feb 2012	22	9	1	1	8	6	6	2			3	1		2	61
Jan 2012	28	6	0	4	11	5	2	5			2	4		5	72
Dec 2011	22	9	1	8	18	1	5	7			3	0		4	78
Nov 2011	6	5	1	1	16	1	8	10			2	1		7	58
Oct 2011	17	5	1	10	15	1	7	5			4	2		7	74
Sep 2011	19	1	1	9	12	1	2	1			4	1		4	55
Aug 2011	36	4	1	3	7	20									71
Jul 2011	22	3	0	2	14	34									75
Jun 2011	21	5	2	5	4	26									63
May 2011	25	4	1	12	11	54									107
Apr 2011	46	7	1	6	14	35									109
Mar 2011	25	6	2	5	11	35									84
Feb 2011	22	8	2	9	10	35									86
Jan 2011	25	10	7	6	11	21									80
Dec 2010	17	3	3	8	6	16									53

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 E02002140

Crime Type and ASB Charts for E02002140

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".