Cramlington Village ED Unitary Authority Electoral Division

Cramlington Village ED, England

Unitary Authority Electoral Division located within Northumberland

Residential Population: 4,341 (mid-2020 estimate)

Males: 2,032

Females: 2,309

Land Area: 169.607 Hectares

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Crime in Cramlington Village ED

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Feb 2024	17	3	1	2	31	8	7	0	1	6	0	1	3	0	80
Jan 2024	35	0	0	1	24	17	5	7	0	3	0	0	8	0	100
Dec 2023	20	3	0	3	30	22	8	3	0	0	0	0	6	0	95
Nov 2023	28	0	0	1	22	14	7	4	2	2	0	2	5	1	88
Oct 2023	36	3	0	2	32	8	8	3	1	1	1	0	8	5	108
Sep 2023	29	0	0	3	20	10	18	5	1	0	0	0	8	2	96
Aug 2023	43	3	0	1	26	12	19	4	1	2	0	2	9	1	123
Jul 2023	52	2	0	3	22	17	7	4	2	1	0	1	8	0	119
Jun 2023	26	0	1	1	24	7	11	2	1	1	0	0	13	2	89
May 2023	36	2	0	2	40	7	10	3	3	0	0	0	16	2	121
Apr 2023	22	1	0	1	31	12	4	4	1	0	0	0	5	2	83
Mar 2023	23	0	1	2	29	14	6	3	0	0	0	1	17	1	97
Feb 2023	12	3	0	9	26	18	8	1	0	0	0	0	6	3	86
Jan 2023	16	2	0	10	22	11	5	1	0	1	0	2	12	0	82
Dec 2022	11	2	0	0	14	6	11	6	0	1	0	1	7	2	61
Nov 2022	16	0	0	1	32	8	7	4	1	0	2	0	9	0	80
Oct 2022	19	0	0	2	22	7	8	13	1	0	1	0	9	1	83
Sep 2022	15	3	0	0	14	6	4	12	2	1	0	0	8	2	67
Aug 2022	14	1	0	0	23	4	4	9	1	0	0	1	8	1	66
Jul 2022	17	0	0	1	17	3	7	12	0	0	1	0	7	1	66
Jun 2022	18	0	0	3	22	11	9	3	0	3	0	1	11	1	82
May 2022	27	3	0	3	25	9	14	3	0	4	1	1	8	2	100
Apr 2022	26	2	0	1	14	14	6	9	4	0	0	0	9	0	85
Mar 2022	14	2	0	1	27	15	11	8	0	1	1	0	10	3	93
Feb 2022	13	1	0	0	32	5	9	0	1	0	0	1	8	0	70
Jan 2022	19	0	0	2	23	8	6	1	2	0	1	0	10	1	73
Dec 2021	25	0	1	2	21	7	7	4	1	0	1	0	7	1	77
Nov 2021	13	1	0	3	27	5	4	3	2	1	0	0	12	0	71
Oct 2021	15	1	0	2	24	2	10	3	1	1	0	0	4	1	64
Sep 2021	11	0	0	1	24	4	5	7	1	6	0	0	10	0	69
Aug 2021	12	0	0	4	19	6	10	7	0	1	0	0	6	2	67
Jul 2021	15	1	0	2	26	4	6	8	0	1	0	0	7	4	74
Jun 2021	13	0	0	2	20	8	7	3	1	4	0	0	11	7	76
May 2021	13	0	0	2	23	9	3	5	1	0	0	0	6	2	64
Apr 2021	16	0	0	0	12	7	5	2	0	0	0	0	13	2	57
Mar 2021	29	1	0	0	24	9	8	2	0	0	0	0	8	3	84
Feb 2021	13	2	0	0	11	2	3	1	0	0	0	0	4	0	36
Jan 2021	9	1	0	0	20	5	2	1	0	1	0	0	4	0	43
Dec 2020	10	1	0	0	14	2	5	2	3	1	0	0	2	0	40
Nov 2020	20	0	0	1	8	4	6	3	0	0	0	1	9	1	53
Oct 2020	23	1	0	0	20	7	7	5	0	2	0	0	7	0	72
Sep 2020	6	1	0	0	17	1	11	3	0	1	0	1	8	0	49
Aug 2020	21	0	0	1	23	3	11	5	1	1	0	0	14	0	80
Jul 2020	4	1	0	5	23	2	9	6	1	0	0	1	11	2	65
Jun 2020	17	0	0	0	15	3	4	4	1	0	0	0	6	1	51
May 2020	34	1	0	0	14	0	8	2	0	0	0	0	6	1	66
Apr 2020	20	1	0	0	10	4	3	1	0	0	0	0	5	1	45
Mar 2020	18	2	0	1	22	11	9	3	1	2	1	0	12	1	83
Feb 2020	21	1	0	1	34	17	10	6	1	0	0	0	13	3	107
Jan 2020	30	1	0	2	23	7	16	2	0	1	0	0	16	0	98
Dec 2019	1	0	0	1	28	7	11	5	0	2	0	2	11	0	68
Nov 2019	4	2	0	1	20	10	10	8	0	0	0	0	4	2	61
Oct 2019	10	3	0	1	18	14	4	5	1	1	1	0	4	2	64
Sep 2019	13	2	0	0	25	6	1	4	1	2	0	1	8	1	64
Aug 2019	12	1	0	0	13	5	2	4	0	2	1	0	10	0	50
Jul 2019	14	1	0	5	22	16	0	6	0	1	1	0	6	0	72
Jun 2019	14	2	0	1	24	13	20	7	0	0	1	0	11	1	94
May 2019	16	4	0	2	28	12	0	4	0	0	0	0	6	0	72
Apr 2019	18	6	0	3	27	12	5	3	0	0	1	0	5	0	80
Mar 2019	21	9	0	1	24	18	5	4	0	1	0	3	12	0	98
Feb 2019	18	1	0	0	16	11	8	5	1	1	0	0	7	1	69
Jan 2019	11	2	0	0	24	8	2	3	0	0	0	0	9	4	63
Dec 2018	20	1	0	4	20	13	10	5	0	1	1	2	6	0	83
Nov 2018	24	2	0	2	19	6	2	10	0	0	1	0	11	1	78
Oct 2018	26	1	0	0	13	16	4	4	0	0	2	0	9	0	75
Sep 2018	24	0	0	3	17	4	6	4	0	0	2	0	5	0	65
Aug 2018	17	1	0	5	15	8	2	6	2	2	0	0	7	0	65
Jul 2018	22	3	0	4	19	6	14	2	0	3	0	0	14	0	87
Jun 2018	20	3	1	1	21	11	8	5	2	1	1	0	11	2	87
May 2018	18	2	0	1	23	6	7	12	1	1	1	1	5	3	81
Apr 2018	31	0	0	3	28	17	4	7	0	1	0	0	6	0	97
Mar 2018	35	2	0	1	21	10	13	4	0	1	0	1	12	2	102
Feb 2018	17	3	0	2	13	7	7	7	0	2	1	0	7	0	66
Jan 2018	18	1	0	2	24	9	11	3	0	1	0	0	6	2	77
Dec 2017	23	1	0	0	21	8	10	6	1	0	2	0	12	0	84
Nov 2017	16	2	0	2	12	7	11	6	0	0	0	0	7	2	65
Oct 2017	24	2	0	0	21	14	11	8	0	2	0	0	12	2	96
Sep 2017	12	3	0	2	25	19	12	6	0	1	0	0	10	2	92
Aug 2017	26	2	0	4	8	14	6	5	0	4	0	0	5	0	74
Jul 2017	21	2	0	2	13	9	9	4	0	3	0	0	5	2	70
Jun 2017	19	3	0	2	12	10	11	2	0	0	0	0	5	0	64
May 2017	15	0	0	1	6	8	5	4	0	3	0	0	4	0	46
Apr 2017	15	0	0	2	5	16	9	10	1	1	1	0	7	0	67
Mar 2017	18	1	0	0	13	15	6	6	0	1	0	0	7	3	70
Feb 2017	14	0	0	1	11	10	7	2	0	1	0	0	3	1	50
Jan 2017	15	1	0	2	10	14	6	10	1	1	0	0	4	2	66
Dec 2016	10	3	0	4	10	8	3	3	0	0	1	0	3	2	47
Nov 2016	19	1	0	2	8	8	7	6	0	0	0	0	5	0	56
Oct 2016	22	3	0	1	3	12	3	4	0	1	0	0	7	0	56
Sep 2016	23	1	0	2	15	6	12	8	0	0	0	0	3	1	71
Aug 2016	14	2	0	1	9	6	8	5	0	0	0	0	2	1	48
Jul 2016	16	3	0	2	3	11	3	4	1	0	0	0	3	2	48
Jun 2016	25	0	0	1	7	13	10	9	1	1	0	1	5	0	73
May 2016	26	3	0	1	15	10	7	2	1	0	0	0	8	0	73
Apr 2016	12	5	0	4	11	9	7	4	1	1	1	0	8	1	64
Mar 2016	13	0	0	1	13	6	5	2	1	1	0	0	5	0	47
Feb 2016	13	4	0	1	15	16	11	2	0	2	1	0	5	3	73
Jan 2016	27	2	0	0	14	9	12	7	1	0	1	1	4	0	78
Dec 2015	13	3	0	2	7	5	9	7	0	0	0	0	7	0	53
Nov 2015	16	0	0	4	11	11	7	5	1	0	1	1	5	1	63
Oct 2015	23	4	0	0	5	9	2	8	0	0	0	0	3	0	54
Sep 2015	12	8	0	5	6	10	2	5	0	1	0	0	0	0	49
Aug 2015	21	2	0	2	3	14	10	3	0	1	0	0	4	1	61
Jul 2015	20	2	1	1	16	6	6	1	0	0	0	1	1	0	55
Jun 2015	33	0	0	0	7	11	3	3	0	1	0	0	0	1	59
May 2015	32	0	0	2	10	8	6	6	0	0	0	0	0	0	64
Apr 2015	17	4	0	1	8	4	8	2	1	0	1	0	2	0	48
Mar 2015	26	0	0	1	3	10	3	5	0	0	1	0	2	0	51
Feb 2015	25	0	0	1	4	3	4	2	0	1	0	0	0	1	41
Jan 2015	20	4	0	1	9	0	6	3	0	1	1	0	0	0	45
Dec 2014	16	0	0	2	1	3	4	5	1	0	0	0	0	0	32
Nov 2014	25	1	0	0	4	6	2	3	1	1	1	0	0	0	44
Oct 2014	25	1	0	0	7	8	11	4	1	0	0	1	0	1	59
Sep 2014	25	1	0	0	11	10	4	5	1	1	0	0	3	1	62
Aug 2014	28	0	0	0	6	3	5	6	0	0	0	0	1	0	49
Jul 2014	17	4	0	0	6	4	3	2	0	2	0	0	1	0	39
Jun 2014	38	2	0	2	8	7	5	1	1	0	0	1	0	0	65
May 2014	23	0	0	1	1	10	5	3	1	0	0	0	0	0	44
Apr 2014	23	0	0	0	7	6	3	7	1	2	0	0	0	1	50
Mar 2014	38	1	0	2	8	3	3	3	2	0	0	0	0	0	60
Feb 2014	32	2	0	1	5	4	3	6	1	0	0	0	0	0	54
Jan 2014	26	0	1	3	6	6	2	4	0	0	0	0	0	0	48
Dec 2013	27	0	0	3	8	8	2	6	0	0	0	1	0	0	55
Nov 2013	25	2	0	1	4	9	3	2	2	0	0	0	0	0	48
Oct 2013	32	0	1	2	3	6	5	6	1	2	0	0	2	1	61
Sep 2013	22	0	0	1	4	3	3	9	2	1	0	0	0	1	46
Aug 2013	45	3	0	1	8	7	4	3	1	0	0	0	3	1	76
Jul 2013	41	2	1	0	3	5	4	4	0	2	0	0	1	0	63
Jun 2013	26	3	0	2	8	4	3	7	0	3	1	0	0	1	58
May 2013	21	1	0	0	6	4	1	2	0	0	0	0	1	1	37
Apr 2013	25	4	0	0	3	3	4	6			0	1		2	48
Mar 2013	43	1	0	1	3	11	2	3			1	1		1	67
Feb 2013	24	2	0	0	3	5	7	3			6	1		0	51
Jan 2013	35	6	0	0	5	3	7	6			0	0		1	63
Dec 2012	34	1	0	0	4	3	8	0			1	1		2	54
Nov 2012	46	1	0	0	4	4	7	5			0	1		0	68
Oct 2012	21	1	0	3	3	6	3	1			2	3		0	43
Sep 2012	29	0	0	0	2	3	9	2			0	2		1	48
Aug 2012	27	0	0	0	5	7	0	6			1	2		0	48
Jul 2012	34	0	0	0	2	3	5	2			1	2		2	51
Jun 2012	42	1	0	1	2	12	6	2			2	3		2	73
May 2012	29	0	0	6	2	6	1	9			0	0		2	55
Apr 2012	34	1	0	1	4	4	2	2			0	2		2	52
Mar 2012	48	4	0	0	2	4	5	6			1	1		0	71
Feb 2012	27	2	0	2	7	2	1	1			2	0		2	46
Jan 2012	32	3	0	3	6	5	14	2			0	1		0	66
Dec 2011	25	0	0	3	7	14	5	2			2	2		1	61
Nov 2011	23	4	1	3	2	7	12	5			2	5		1	65
Oct 2011	34	1	0	0	3	2	6	7			1	2		1	57
Sep 2011	39	3	0	5	1	7	2	3			2	3		0	65
Aug 2011	38	1	0	1	9	9									58
Jul 2011	40	3	0	0	6	16									65
Jun 2011	30	3	0	2	3	13									51
May 2011	41	1	0	1	4	19									66
Apr 2011	37	0	0	0	3	16									56
Mar 2011	48	0	0	0	4	21									73
Feb 2011	30	0	0	7	1	15									53
Jan 2011	26	1	0	0	2	20									49
Dec 2010	32	0	0	0	3	15									50

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 Cramlington Village ED

Crime Type and ASB Charts for Cramlington Village ED

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".