Stafford North County Ward

Stafford North, England

County Ward located within Staffordshire County Council

Residential Population: 12,786 (mid-2013 estimate)

Males: 6,436

Females: 6,350

Land Area: 515.339 Hectares

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

Loading map...

Crime in Stafford North

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Feb 2024	8	5	0	2	32	2	7	7	0	0	1	2	7	0	73
Jan 2024	9	4	1	1	47	2	5	10	1	0	1	1	11	1	94
Dec 2023	5	4	0	1	17	1	7	6	2	0	0	0	1	0	44
Nov 2023	7	3	0	6	40	0	7	9	3	2	0	1	9	1	88
Oct 2023	15	5	0	5	40	3	2	7	1	1	0	0	8	1	88
Sep 2023	18	4	0	1	32	4	3	3	1	2	0	2	5	1	76
Aug 2023	13	2	0	5	28	3	7	4	1	3	1	0	9	1	77
Jul 2023	18	2	0	2	47	5	5	8	1	1	0	1	7	2	99
Jun 2023	17	5	1	1	40	11	11	9	3	0	0	2	7	0	107
May 2023	15	3	1	4	34	4	8	2	2	0	0	2	3	0	78
Apr 2023	15	1	0	1	30	3	7	5	0	0	0	0	5	0	67
Mar 2023	12	0	2	2	34	1	8	5	1	3	0	0	1	0	69
Feb 2023	2	0	0	2	26	4	7	8	2	1	0	1	3	0	56
Jan 2023	5	3	0	2	23	5	7	9	3	0	0	1	3	1	62
Dec 2022	7	5	1	1	26	5	8	4	2	4	0	1	1	1	66
Nov 2022	8	3	0	2	25	2	4	4	2	5	0	0	7	2	64
Oct 2022	15	4	0	0	19	5	5	6	1	1	1	1	2	0	60
Sep 2022	14	3	0	3	44	6	7	9	3	3	0	1	5	1	99
Aug 2022	14	3	1	2	27	1	8	5	12	3	0	0	10	0	86
Jul 2022	12	4	0	3	43	4	4	5	17	1	0	1	11	1	106
Jun 2022	15	3	0	1	50	12	7	4	0	1	1	0	8	2	104
May 2022	17	2	1	2	29	4	4	6	2	1	0	0	8	0	76
Apr 2022	19	7	3	7	44	10	7	11	0	3	1	0	8	0	120
Mar 2022	13	3	0	0	34	2	10	5	0	1	0	1	5	0	74
Feb 2022	16	5	0	2	34	3	4	4	0	1	0	0	1	0	70
Jan 2022	13	2	0	2	15	3	2	3	0	1	0	0	3	0	44
Dec 2021	14	4	1	2	35	3	6	2	2	2	0	0	8	1	80
Nov 2021	12	4	1	8	35	5	6	4	0	1	1	0	9	1	87
Oct 2021	17	1	1	2	27	5	7	6	0	1	1	0	3	0	71
Sep 2021	19	1	0	2	19	0	10	5	2	2	0	0	5	2	67
Aug 2021	19	2	1	3	23	2	8	5	2	1	0	0	1	2	69
Jul 2021	45	4	3	0	17	1	1	1	0	1	0	0	3	1	77
Jun 2021	29	5	0	1	24	3	4	4	1	1	0	0	5	1	78
May 2021	31	0	0	2	35	3	4	3	0	2	0	0	4	1	85
Apr 2021	31	3	1	2	18	3	7	4	1	0	0	0	1	2	73
Mar 2021	22	2	0	3	38	4	4	5	2	4	0	0	2	0	86
Feb 2021	14	4	0	3	20	5	6	2	1	0	0	1	0	2	58
Jan 2021	17	2	1	4	22	3	10	2	1	1	0	0	3	0	66
Dec 2020	10	1	0	2	14	1	4	5	1	0	0	0	4	0	42
Nov 2020	18	5	3	4	24	0	4	3	1	1	0	0	3	0	66
Oct 2020	21	3	0	1	21	3	6	6	0	2	1	0	3	0	67
Sep 2020	14	4	0	6	34	2	6	6	2	4	0	0	4	1	83
Aug 2020	27	3	0	6	35	1	11	3	0	0	0	1	3	0	90
Jul 2020	19	8	0	5	40	5	5	7	1	2	0	0	4	0	96
Jun 2020	26	1	0	2	30	5	5	7	1	1	0	0	3	0	81
May 2020	34	0	0	3	20	1	6	3	2	0	0	0	0	1	70
Apr 2020	45	6	0	0	32	0	7	9	0	2	0	0	2	2	105
Mar 2020	34	3	1	1	35	2	4	7	0	0	0	3	3	1	94
Feb 2020	26	3	0	3	47	1	12	6	1	0	0	0	2	1	102
Jan 2020	25	8	1	5	17	2	11	8	2	0	0	0	5	0	84
Dec 2019	20	1	0	1	19	4	7	2	1	0	1	0	2	0	58
Nov 2019	23	1	0	7	15	0	7	7	0	0	0	0	3	1	64
Oct 2019	18	1	1	5	21	2	5	4	4	0	0	1	2	0	64
Sep 2019	37	1	0	1	12	0	6	4	1	1	1	0	4	2	70
Aug 2019	25	3	1	4	23	0	8	7	2	1	1	0	7	1	83
Jul 2019	26	2	0	3	29	2	4	6	2	0	0	1	6	0	81
Jun 2019	37	4	1	2	22	1	2	8	0	1	1	0	4	1	84
May 2019	25	3	1	2	18	2	11	10	3	2	0	1	2	0	80
Apr 2019	22	4	0	4	12	2	8	2	3	1	2	0	3	2	65
Mar 2019	19	5	1	1	17	2	4	2	2	1	0	0	5	2	61
Feb 2019	14	1	2	1	22	1	4	5	2	0	0	0	0	0	52
Jan 2019	27	3	0	5	32	0	11	10	0	3	0	0	0	0	91
Dec 2018	13	4	1	4	19	0	5	2	1	2	0	0	1	1	53
Nov 2018	21	12	1	4	10	1	5	9	1	1	0	0	3	2	70
Oct 2018	17	3	0	5	20	0	9	5	2	1	0	1	2	1	66
Sep 2018	22	3	0	2	33	1	12	9	1	2	0	0	5	1	91
Aug 2018	33	2	0	4	24	4	6	6	0	1	1	0	2	1	84
Jul 2018	36	6	0	11	37	5	7	9	5	3	0	1	3	0	123
Jun 2018	33	5	0	5	40	3	6	8	1	1	0	2	6	1	111
May 2018	47	6	0	3	25	5	4	8	1	2	1	2	3	2	109
Apr 2018	37	3	1	2	20	1	4	3	1	3	0	2	4	1	82
Mar 2018	37	3	0	7	20	1	4	9	2	2	0	0	0	2	87
Feb 2018	18	1	0	7	15	4	7	6	4	1	0	1	2	1	67
Jan 2018	16	1	1	7	14	5	7	9	1	0	0	0	6	0	67
Dec 2017	24	1	1	5	17	1	8	6	1	1	0	0	0	2	67
Nov 2017	32	0	3	5	18	2	11	5	0	2	0	0	0	4	82
Oct 2017	26	6	0	3	20	1	5	11	0	3	0	0	4	2	81
Sep 2017	34	2	2	10	21	1	6	12	2	4	0	0	4	1	99
Aug 2017	38	0	0	10	22	8	10	14	0	5	0	1	2	1	111
Jul 2017	41	1	0	5	32	5	8	5	4	0	0	0	3	1	105
Jun 2017	37	2	2	4	12	4	3	8	2	0	0	2	6	1	83
May 2017	25	3	0	4	22	3	6	7	2	4	0	0	1	0	77
Apr 2017	34	5	1	4	22	3	7	5	2	3	0	0	8	3	97
Mar 2017	23	7	1	4	8	1	7	6	1	1	0	0	1	4	64
Feb 2017	16	5	0	3	22	4	10	5	1	1	0	0	2	2	71
Jan 2017	18	6	2	7	25	4	8	11	4	1	0	1	6	4	97
Dec 2016	22	9	1	2	14	3	5	6	1	1	0	0	0	0	64
Nov 2016	16	9	0	1	16	9	5	5	0	0	0	0	3	1	65
Oct 2016	33	5	0	9	14	7	2	6	2	2	0	0	3	3	86
Sep 2016	52	3	0	7	13	6	7	1	0	2	0	2	1	2	96
Aug 2016	42	7	0	7	23	2	2	11	2	0	0	0	7	2	105
Jul 2016	43	3	0	2	15	2	8	4	1	1	0	0	3	0	82
Jun 2016	26	5	0	1	24	2	5	8	0	3	0	0	2	1	77
May 2016	29	5	0	1	21	7	4	3	2	1	0	2	3	0	78
Apr 2016	17	26	0	9	38	4	11	5	1	2	0	1	3	2	119
Mar 2016	13	5	0	4	21	5	2	8	3	1	0	0	1	3	66
Feb 2016	18	1	0	2	22	2	5	7	2	2	0	0	0	1	62
Jan 2016	18	2	0	2	14	6	5	5	2	1	0	0	2	1	58
Dec 2015	21	12	1	2	28	5	9	11	4	0	0	0	3	0	96
Nov 2015	26	7	1	2	20	8	13	7	1	1	0	0	2	1	89
Oct 2015	31	4	0	2	18	7	5	7	3	1	0	1	3	1	83
Sep 2015	37	9	0	10	22	6	7	10	2	1	0	1	0	2	107
Aug 2015	45	9	0	9	31	4	13	3	0	3	0	0	1	1	119
Jul 2015	35	5	0	3	25	8	8	2	1	0	0	3	0	1	91
Jun 2015	24	2	0	1	20	5	5	9	4	0	2	3	2	0	77
May 2015	25	2	1	4	12	5	3	8	0	2	0	0	0	3	65
Apr 2015	37	4	0	1	14	6	7	6	0	0	0	0	3	3	81
Mar 2015	29	2	0	1	15	1	10	8	5	3	0	0	2	0	76
Feb 2015	14	4	0	11	13	6	7	4	4	4	0	0	2	0	69
Jan 2015	12	7	0	3	16	1	6	8	6	0	0	0	1	1	61
Dec 2014	18	1	1	2	12	1	6	3	1	2	0	0	4	0	51
Nov 2014	16	2	2	1	14	0	7	6	0	1	2	0	3	3	57
Oct 2014	37	9	0	4	21	3	5	3	2	3	0	0	3	0	90
Sep 2014	19	2	0	7	14	0	12	18	4	3	0	0	2	4	85
Aug 2014	27	2	0	2	13	2	7	4	3	1	0	0	1	0	62
Jul 2014	42	4	0	3	10	3	10	5	5	1	0	0	1	0	84
Jun 2014	25	4	0	3	8	0	7	4	2	3	0	1	5	1	63
May 2014	32	5	1	7	13	0	16	2	3	4	0	0	4	3	90
Apr 2014	30	4	0	4	11	1	6	6	3	1	1	0	0	0	67
Mar 2014	25	2	0	1	6	1	5	3	2	1	0	0	2	0	48
Feb 2014	19	3	0	1	6	4	12	7	5	2	0	0	2	0	61
Jan 2014	20	2	0	4	5	5	5	6	5	1	0	0	0	1	54
Dec 2013	19	7	0	2	14	1	3	4	5	2	0	1	0	0	58
Nov 2013	26	8	0	6	14	3	9	6	1	1	0	1	2	1	78
Oct 2013	24	7	1	8	17	2	7	5	3	6	0	0	1	0	81
Sep 2013	27	5	1	1	7	0	11	5	5	3	0	1	3	0	69
Aug 2013	39	3	0	1	18	1	8	5	4	1	0	0	1	2	83
Jul 2013	50	4	0	3	27	2	9	3	6	2	1	1	6	5	119
Jun 2013	36	2	0	0	7	3	5	4	0	2	0	0	4	1	64
May 2013	37	3	0	6	18	3	8	6	6	0	0	0	2	1	90
Apr 2013	30	9	0	6	11	2	10	8			5	1		2	84
Mar 2013	20	1	1	2	13	3	9	8			2	2		3	64
Feb 2013	35	8	0	1	14	3	9	7			4	2		4	87
Jan 2013	35	4	0	1	9	4	13	6			7	1		1	81
Dec 2012	24	6	1	1	11	1	5	7			4	0		2	62
Nov 2012	32	2	1	3	12	4	17	5			4	3		1	84
Oct 2012	39	3	1	1	7	2	9	3			2	0		5	72
Sep 2012	31	5	0	2	16	1	10	6			9	4		4	88
Aug 2012	22	16	0	2	10	0	16	8			9	0		0	83
Jul 2012	35	4	0	4	14	0	9	5			7	8		4	90
Jun 2012	40	7	0	5	8	1	17	15			3	1		4	101
May 2012	48	6	0	8	13	2	7	10			5	0		2	101
Apr 2012	29	9	0	2	9	0	18	13			8	2		1	91
Mar 2012	44	9	0	5	14	5	12	18			3	3		5	118
Feb 2012	32	6	1	3	16	0	14	7			3	1		1	84
Jan 2012	13	13	0	12	13	1	17	11			3	1		2	86
Dec 2011	12	6	0	3	12	1	43	10			3	0		4	94
Nov 2011	37	11	0	6	10	0	13	10			3	2		2	94
Oct 2011	34	9	1	8	14	0	8	14			2	2		5	97
Sep 2011	26	3	0	4	11	2	10	13			4	2		2	77
Aug 2011	29	5	0	3	8	31									76
Jul 2011	27	6	2	2	16	25									78
Jun 2011	27	4	0	6	15	26									78
May 2011	28	5	1	2	16	21									73
Apr 2011	38	8	0	13	18	32									109
Mar 2011	38	13	1	9	13	39									113
Feb 2011	34	16	0	4	13	32									99
Jan 2011	22	10	0	12	15	37									96
Dec 2010	19	4	0	7	18	26									74

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 Stafford North

Crime Type and ASB Charts for Stafford North

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".