Wolstanton County Ward

Wolstanton, England

County Ward located within Staffordshire County Council

Residential Population: 12,194 (mid-2013 estimate)

Males: 6,052

Females: 6,142

Land Area: 300.685 Hectares

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Crime in Wolstanton

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Feb 2024	5	3	0	2	31	6	4	4	2	0	0	1	4	1	63
Jan 2024	7	0	1	2	37	11	6	9	2	1	0	0	10	1	87
Dec 2023	8	5	0	8	36	11	4	6	0	1	0	1	6	1	87
Nov 2023	12	3	1	4	29	7	8	9	2	2	0	0	3	1	81
Oct 2023	6	0	0	1	47	11	7	10	4	3	0	0	6	3	98
Sep 2023	16	5	0	2	29	7	3	7	1	0	0	0	10	0	80
Aug 2023	17	5	0	5	24	11	6	9	0	2	1	1	7	2	90
Jul 2023	9	3	0	3	39	9	7	9	0	0	0	1	8	1	89
Jun 2023	10	3	1	3	45	10	5	13	3	0	0	1	8	2	104
May 2023	20	4	0	4	39	10	4	6	0	2	0	0	9	0	98
Apr 2023	19	4	0	5	32	2	9	13	2	1	0	0	4	0	91
Mar 2023	11	2	1	4	51	2	8	10	1	0	0	0	8	0	98
Feb 2023	8	4	0	6	33	1	9	7	0	2	1	0	10	1	82
Jan 2023	21	5	2	3	36	4	1	5	4	0	0	2	5	0	88
Dec 2022	9	1	0	5	40	5	2	5	1	0	0	1	4	1	74
Nov 2022	23	1	0	7	24	9	5	7	1	0	1	1	9	1	89
Oct 2022	24	4	1	3	30	8	6	6	3	0	2	2	12	4	105
Sep 2022	30	1	0	2	39	0	4	14	0	0	0	0	5	4	99
Aug 2022	30	6	0	2	25	3	9	8	5	2	1	1	3	3	98
Jul 2022	29	2	1	7	34	8	5	11	6	3	0	0	3	2	111
Jun 2022	30	3	2	4	51	1	9	11	0	0	0	0	5	0	116
May 2022	40	4	1	2	40	2	11	13	0	1	0	0	7	1	122
Apr 2022	16	4	1	8	36	6	11	9	2	0	1	0	3	0	97
Mar 2022	28	3	0	2	42	3	7	4	0	5	0	1	4	0	99
Feb 2022	25	3	0	0	25	5	7	3	2	3	0	0	5	1	79
Jan 2022	21	0	1	1	35	2	5	1	1	0	0	0	2	1	70
Dec 2021	18	1	0	1	20	2	1	2	1	2	0	1	2	0	51
Nov 2021	18	5	0	4	21	7	9	5	2	0	0	1	6	1	79
Oct 2021	27	4	1	0	20	2	7	8	0	0	0	0	2	0	71
Sep 2021	26	4	0	9	23	3	7	11	0	1	0	0	6	1	91
Aug 2021	23	2	0	11	24	9	8	1	0	1	1	1	3	1	85
Jul 2021	32	2	1	1	29	1	3	3	1	2	1	0	5	0	81
Jun 2021	23	2	0	1	20	3	4	6	0	1	0	0	5	3	68
May 2021	43	4	0	6	29	5	2	1	0	0	0	2	4	0	96
Apr 2021	32	1	0	3	21	4	2	4	2	0	0	0	0	1	70
Mar 2021	27	2	0	3	19	4	7	8	0	1	0	0	1	0	72
Feb 2021	13	5	1	6	14	3	3	0	1	1	0	1	4	1	53
Jan 2021	17	1	0	1	13	2	5	2	0	0	0	1	2	0	44
Dec 2020	33	3	0	4	12	2	2	3	0	1	0	0	2	0	62
Nov 2020	22	3	0	5	10	3	4	4	0	1	0	0	1	0	53
Oct 2020	38	2	0	3	19	0	4	10	2	0	0	1	5	1	85
Sep 2020	26	1	0	5	18	2	3	5	1	0	0	1	3	0	65
Aug 2020	27	1	0	8	30	1	7	3	0	0	0	0	4	1	82
Jul 2020	50	3	0	6	13	2	4	5	0	1	0	0	0	1	85
Jun 2020	81	1	0	1	25	1	7	4	2	1	0	0	2	3	128
May 2020	36	3	1	2	10	0	5	2	1	0	0	1	6	0	67
Apr 2020	39	2	1	1	22	3	5	5	1	0	0	0	3	0	82
Mar 2020	30	0	1	4	40	3	11	5	1	1	0	0	6	0	102
Feb 2020	34	3	2	6	24	5	7	7	0	1	0	1	0	1	91
Jan 2020	25	9	2	4	19	2	6	6	0	1	0	0	1	2	77
Dec 2019	13	1	0	4	17	5	3	2	0	0	0	0	2	0	47
Nov 2019	19	2	0	6	24	4	4	4	1	1	0	0	2	2	69
Oct 2019	17	2	0	4	16	7	4	8	0	1	0	0	2	0	61
Sep 2019	23	1	0	5	22	7	8	4	0	0	0	0	2	1	73
Aug 2019	35	1	0	3	21	6	6	2	1	0	1	1	3	1	81
Jul 2019	38	2	0	4	27	15	5	3	3	0	1	1	5	0	104
Jun 2019	21	3	0	1	23	9	6	3	2	0	1	0	1	1	71
May 2019	29	2	0	7	32	10	12	11	1	1	1	1	0	1	108
Apr 2019	32	2	2	1	33	6	6	6	4	2	0	0	1	3	98
Mar 2019	44	0	1	0	30	4	10	8	3	1	0	0	3	0	104
Feb 2019	36	0	1	5	20	5	7	3	2	0	0	0	2	1	82
Jan 2019	33	4	0	2	18	11	5	8	3	1	0	0	1	1	87
Dec 2018	23	5	0	2	20	9	2	2	0	0	0	0	1	1	65
Nov 2018	17	2	0	5	22	17	4	9	1	1	0	0	3	0	81
Oct 2018	32	4	0	5	13	4	12	12	0	0	0	0	2	0	84
Sep 2018	22	4	0	4	27	7	3	6	2	1	1	1	2	0	80
Aug 2018	33	3	0	4	26	10	6	6	3	1	0	0	4	0	96
Jul 2018	54	9	0	7	29	17	9	7	0	0	0	0	4	1	137
Jun 2018	41	1	0	4	21	6	8	8	1	1	1	0	3	2	97
May 2018	27	5	0	4	20	12	7	8	0	0	0	2	3	1	89
Apr 2018	34	0	0	7	28	4	6	5	0	0	0	1	3	2	90
Mar 2018	32	2	0	6	20	13	9	13	2	1	1	0	9	1	109
Feb 2018	21	1	0	5	20	8	3	3	0	1	0	0	2	0	64
Jan 2018	28	2	0	7	28	5	5	4	0	0	0	0	3	3	85
Dec 2017	42	0	0	3	27	5	11	5	4	0	0	0	3	0	100
Nov 2017	33	0	1	6	26	3	8	6	3	0	0	0	3	0	89
Oct 2017	46	1	1	4	24	7	17	6	1	0	0	0	1	1	109
Sep 2017	40	1	0	4	28	4	10	9	0	0	0	0	6	1	103
Aug 2017	57	0	0	6	29	8	5	7	6	1	0	0	2	1	122
Jul 2017	44	0	0	2	27	6	12	5	2	0	0	1	1	1	101
Jun 2017	34	2	1	5	24	5	7	5	0	1	0	0	5	1	90
May 2017	47	0	0	3	25	9	5	7	2	0	2	0	2	4	106
Apr 2017	36	0	0	6	17	2	11	6	1	1	0	0	1	0	81
Mar 2017	23	6	0	7	17	7	9	10	1	1	0	0	3	4	88
Feb 2017	24	4	0	1	27	4	12	10	0	0	0	1	1	2	86
Jan 2017	29	7	0	3	31	5	9	10	2	1	1	0	2	0	100
Dec 2016	24	6	0	2	17	3	10	19	1	0	0	0	1	0	83
Nov 2016	22	1	0	1	26	6	9	8	0	1	0	0	1	2	77
Oct 2016	27	4	0	5	17	4	7	16	1	1	0	0	6	1	89
Sep 2016	37	5	1	6	15	3	12	10	2	0	0	0	5	2	98
Aug 2016	45	7	1	4	21	5	4	13	0	1	0	0	1	2	104
Jul 2016	56	6	0	6	20	4	7	8	0	0	0	0	2	2	111
Jun 2016	36	12	0	9	28	2	8	10	1	0	0	0	6	0	112
May 2016	27	3	0	5	20	4	12	9	1	1	0	0	0	0	82
Apr 2016	28	10	0	3	27	6	11	5	0	0	0	1	7	1	99
Mar 2016	25	6	0	7	21	6	8	11	0	1	0	0	3	1	89
Feb 2016	20	7	1	1	27	6	9	3	1	0	0	1	2	3	81
Jan 2016	31	5	0	5	21	8	4	12	1	0	0	0	0	0	87
Dec 2015	19	1	1	2	10	4	9	7	3	0	1	1	1	1	60
Nov 2015	12	0	0	2	17	1	11	11	0	0	0	0	3	1	58
Oct 2015	41	1	0	3	13	7	5	8	7	0	0	0	1	1	87
Sep 2015	31	4	0	3	21	6	5	10	2	0	0	0	3	0	85
Aug 2015	15	4	0	6	10	4	13	14	1	1	0	0	3	0	71
Jul 2015	46	2	0	4	17	2	8	12	1	0	0	0	1	0	93
Jun 2015	31	5	1	2	21	2	6	10	1	2	0	1	1	0	83
May 2015	26	5	0	1	16	3	3	13	0	1	0	0	1	1	70
Apr 2015	17	8	0	2	27	6	3	7	1	1	1	2	1	1	77
Mar 2015	15	7	1	4	14	2	2	7	0	1	0	1	0	0	54
Feb 2015	23	4	0	5	20	3	11	5	1	0	0	1	2	4	79
Jan 2015	16	2	0	2	11	1	5	7	0	0	0	1	1	0	46
Dec 2014	16	4	0	4	19	6	6	1	5	0	0	0	0	0	61
Nov 2014	21	5	0	8	13	5	4	4	1	0	0	0	0	1	62
Oct 2014	14	6	0	8	19	9	9	2	0	1	1	0	0	1	70
Sep 2014	20	4	1	4	13	4	3	4	1	1	0	0	2	1	58
Aug 2014	19	0	0	2	4	2	10	5	0	0	0	0	2	0	44
Jul 2014	23	9	0	5	23	6	14	4	1	2	1	0	0	1	89
Jun 2014	29	5	0	0	5	4	7	5	0	0	0	0	2	0	57
May 2014	12	3	1	3	9	9	8	10	2	0	0	0	1	1	59
Apr 2014	22	9	1	6	11	10	5	6	3	1	0	0	1	0	75
Mar 2014	26	7	1	5	11	12	10	3	3	0	2	0	0	0	80
Feb 2014	19	2	0	3	9	8	5	7	1	0	0	0	0	1	55
Jan 2014	18	10	0	3	7	14	5	4	0	1	0	0	2	1	65
Dec 2013	15	3	0	5	14	5	7	5	1	0	0	0	1	2	58
Nov 2013	23	5	0	5	8	4	12	9	0	2	0	0	1	0	69
Oct 2013	26	10	0	4	17	5	7	9	0	1	0	0	2	0	81
Sep 2013	30	9	0	2	13	8	6	12	2	0	0	0	1	1	84
Aug 2013	34	8	1	1	8	6	10	12	2	2	1	1	1	1	88
Jul 2013	40	11	1	0	15	3	14	12	5	4	2	0	2	0	109
Jun 2013	25	6	0	4	10	6	6	7	0	1	0	0	1	0	66
May 2013	21	4	1	6	10	7	2	8	2	0	0	0	2	1	64
Apr 2013	25	1	0	6	5	12	5	6			4	0		0	64
Mar 2013	26	4	0	5	9	16	4	6			0	0		1	71
Feb 2013	26	8	0	4	9	6	17	20			2	0		2	94
Jan 2013	18	2	0	11	7	5	8	10			0	1		1	63
Dec 2012	18	7	0	8	9	7	11	4			5	1		2	72
Nov 2012	25	7	1	6	7	8	5	8			0	1		0	68
Oct 2012	24	3	0	3	13	5	10	8			3	1		1	71
Sep 2012	21	12	0	6	10	10	9	7			3	2		2	82
Aug 2012	45	3	0	3	8	8	17	2			6	0		0	92
Jul 2012	28	2	0	5	19	9	14	9			4	2		4	96
Jun 2012	24	10	0	6	13	10	4	14			4	1		2	88
May 2012	29	5	0	7	13	7	11	11			2	3		4	92
Apr 2012	25	6	2	4	8	12	11	9			4	1		1	83
Mar 2012	42	11	0	11	11	6	14	9			2	4		1	111
Feb 2012	22	9	0	5	12	5	6	8			3	1		1	72
Jan 2012	23	2	0	3	11	11	7	10			1	0		2	70
Dec 2011	33	2	0	5	8	2	10	3			4	2		1	70
Nov 2011	18	8	0	10	14	11	10	12			2	2		1	88
Oct 2011	32	4	0	13	8	1	15	9			5	1		1	89
Sep 2011	28	6	0	11	7	5	12	11			1	1		0	82
Aug 2011	35	8	0	4	10	20									77
Jul 2011	37	6	1	7	6	35									92
Jun 2011	45	4	0	7	12	23									91
May 2011	25	4	0	5	8	26									68
Apr 2011	41	0	1	8	9	24									83
Mar 2011	33	3	0	7	9	43									95
Feb 2011	10	9	0	5	5	19									48
Jan 2011	11	9	2	4	5	16									47
Dec 2010	26	5	0	7	7	38									83

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 Wolstanton

Crime Type and ASB Charts for Wolstanton

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".