E02006167 MSOA

E02006167

Newcastle-under-Lyme 010
Residential Population: 10,281 (mid-2020 estimate)

Males: 5,057

Females: 5,224

Population Density: 34.93 Persons per Hectare

Land Area: 294.37 Hectares

Daytime Population: 7,752

Population Density: 26.33 Persons per Hectare

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Crime in E02006167

	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	8	0	1	34	2	5	1	2	0	1	0	3	3	68
Jan 2024	10	5	0	1	45	3	3	9	1	1	0	1	5	1	85
Dec 2023	9	1	0	4	27	6	4	7	1	0	0	0	5	0	64
Nov 2023	16	1	0	2	26	4	3	5	4	1	0	0	5	2	69
Oct 2023	14	6	0	0	42	3	10	4	1	0	1	1	3	5	90
Sep 2023	18	1	1	1	41	5	10	4	1	1	0	0	10	1	94
Aug 2023	17	5	0	1	34	5	9	3	1	0	0	1	5	1	82
Jul 2023	17	3	1	5	45	7	8	4	0	1	0	0	4	1	96
Jun 2023	10	9	0	1	67	12	16	3	1	1	0	0	7	0	127
May 2023	14	2	0	0	33	11	2	5	0	0	1	0	6	1	75
Apr 2023	21	5	2	4	52	11	6	2	1	0	0	3	12	0	119
Mar 2023	17	1	1	8	43	2	7	9	0	0	0	1	10	1	100
Feb 2023	15	1	0	4	44	11	7	5	2	1	0	0	9	1	100
Jan 2023	9	0	0	2	49	7	5	5	2	0	0	0	10	1	90
Dec 2022	13	3	0	4	39	0	7	3	0	1	0	0	3	3	76
Nov 2022	10	2	2	4	54	3	3	3	0	0	0	2	9	4	96
Oct 2022	19	4	1	4	50	3	6	4	1	1	1	1	12	9	116
Sep 2022	21	5	0	4	46	2	5	8	2	3	0	0	5	1	102
Aug 2022	24	3	0	4	33	3	7	4	2	1	0	0	3	3	87
Jul 2022	26	2	0	5	41	3	11	14	3	3	1	9	7	1	126
Jun 2022	29	7	4	4	59	2	10	11	1	0	2	0	10	1	140
May 2022	23	2	1	0	62	2	22	6	0	1	1	0	5	2	127
Apr 2022	27	0	1	3	50	6	20	14	0	0	1	0	7	0	129
Mar 2022	32	1	1	2	30	1	6	5	0	2	0	0	3	3	86
Feb 2022	26	3	0	0	38	3	9	8	1	5	0	0	5	1	99
Jan 2022	20	1	0	3	29	3	5	2	0	0	0	0	4	1	68
Dec 2021	15	0	1	2	46	1	7	6	0	2	0	0	2	1	83
Nov 2021	21	7	0	2	38	3	11	6	2	0	0	2	1	2	95
Oct 2021	21	2	0	6	28	1	12	9	0	2	0	1	1	0	83
Sep 2021	30	4	0	5	18	2	13	8	1	1	0	0	6	3	91
Aug 2021	23	2	0	3	22	2	6	2	0	1	0	0	3	0	64
Jul 2021	27	0	1	2	36	1	6	4	1	0	0	0	2	0	80
Jun 2021	24	3	0	2	41	3	13	6	1	1	0	1	6	0	101
May 2021	21	5	1	1	40	1	6	0	0	1	0	0	4	1	81
Apr 2021	21	3	0	1	30	2	3	3	0	1	0	2	3	1	70
Mar 2021	31	4	1	9	34	1	8	5	0	3	0	0	2	1	99
Feb 2021	13	4	0	3	28	1	7	9	0	0	1	0	2	1	69
Jan 2021	15	3	0	3	28	0	8	4	0	1	0	0	1	0	63
Dec 2020	25	0	0	1	30	3	9	6	1	2	0	0	3	1	81
Nov 2020	25	2	0	2	29	2	7	4	0	4	1	0	4	0	80
Oct 2020	29	4	0	0	24	0	2	12	0	2	0	1	5	0	79
Sep 2020	25	1	0	2	27	2	5	2	1	1	0	0	5	2	73
Aug 2020	34	0	0	1	30	7	6	8	0	0	0	1	5	1	93
Jul 2020	21	1	0	2	39	2	8	4	0	3	0	0	5	0	85
Jun 2020	33	4	1	4	32	1	5	3	1	1	0	0	5	1	91
May 2020	27	0	0	1	21	2	4	5	1	0	1	0	4	0	66
Apr 2020	47	1	1	0	36	2	5	4	0	1	0	0	3	1	101
Mar 2020	32	3	0	5	50	1	7	3	2	1	0	2	7	2	115
Feb 2020	25	3	0	5	36	10	5	7	0	0	0	0	2	2	95
Jan 2020	27	3	8	3	16	4	13	5	1	2	0	0	2	0	84
Dec 2019	28	1	1	5	14	2	8	6	2	0	0	1	1	2	71
Nov 2019	29	0	0	4	16	6	6	7	2	2	1	1	2	0	76
Oct 2019	25	0	0	4	16	3	6	3	2	1	0	1	1	0	62
Sep 2019	22	3	1	3	23	14	8	6	2	0	0	0	4	1	87
Aug 2019	24	0	1	1	19	6	9	5	0	0	0	1	1	1	68
Jul 2019	44	3	2	3	38	3	4	4	3	1	1	0	4	1	111
Jun 2019	39	2	0	3	37	4	5	8	2	0	2	0	4	2	108
May 2019	29	3	1	4	30	5	7	9	0	2	1	1	2	3	97
Apr 2019	31	0	0	2	39	5	9	3	1	3	0	0	0	0	93
Mar 2019	39	4	1	2	17	5	12	7	0	0	0	1	0	1	89
Feb 2019	23	4	0	2	24	12	4	5	2	0	1	1	3	0	81
Jan 2019	19	4	0	3	25	19	5	3	0	0	0	0	1	1	80
Dec 2018	25	2	0	2	21	6	5	4	0	0	0	1	0	0	66
Nov 2018	22	0	0	1	20	4	12	4	3	0	0	0	2	0	68
Oct 2018	27	3	3	2	28	4	10	9	0	1	0	0	6	0	93
Sep 2018	36	4	2	4	19	11	13	4	0	0	0	0	3	1	97
Aug 2018	37	6	1	2	37	7	11	10	3	2	1	0	2	1	120
Jul 2018	28	4	0	1	30	12	6	6	0	1	0	0	3	1	92
Jun 2018	29	2	1	2	18	1	10	8	0	3	1	0	3	2	80
May 2018	40	5	0	2	28	3	6	11	1	0	0	1	2	1	100
Apr 2018	23	6	1	6	24	4	5	5	0	0	0	0	7	2	83
Mar 2018	35	4	0	1	20	6	10	9	1	2	0	1	2	0	91
Feb 2018	28	1	0	1	22	6	5	4	1	1	0	0	0	2	71
Jan 2018	42	0	0	4	40	3	12	5	1	0	0	0	1	0	108
Dec 2017	69	0	1	2	35	9	10	5	0	0	0	0	0	0	131
Nov 2017	42	0	1	4	27	8	14	5	1	1	0	1	2	2	108
Oct 2017	45	0	0	4	31	2	9	6	0	0	0	0	4	0	101
Sep 2017	26	0	1	6	35	3	14	7	5	0	0	0	7	0	104
Aug 2017	46	0	1	5	24	10	24	10	1	2	0	0	2	0	125
Jul 2017	33	0	1	0	31	2	10	7	1	0	0	0	3	2	90
Jun 2017	34	0	1	0	37	7	9	5	0	1	0	0	2	0	96
May 2017	41	0	0	3	27	6	20	14	0	0	0	0	4	1	116
Apr 2017	42	1	1	3	31	5	20	7	1	1	0	1	2	7	122
Mar 2017	29	6	0	5	39	4	8	10	1	0	0	2	5	3	112
Feb 2017	36	5	1	1	27	1	9	3	3	0	0	0	7	1	94
Jan 2017	29	4	0	1	29	3	15	10	2	1	0	0	5	2	101
Dec 2016	32	5	2	3	21	0	10	10	2	0	0	0	0	1	86
Nov 2016	45	3	0	2	26	3	18	11	2	0	0	0	1	0	111
Oct 2016	48	3	1	4	39	2	9	9	4	2	1	1	5	3	131
Sep 2016	41	2	0	1	23	1	9	13	0	0	1	0	3	3	97
Aug 2016	37	3	2	1	23	2	9	7	0	0	0	0	3	1	88
Jul 2016	49	4	0	4	39	2	7	6	1	0	1	0	1	0	114
Jun 2016	54	1	0	6	36	2	10	12	0	0	1	0	4	2	128
May 2016	48	3	0	1	22	1	11	10	1	1	0	2	3	0	103
Apr 2016	32	4	0	3	28	2	18	9	0	0	2	1	1	1	101
Mar 2016	46	2	0	2	24	2	9	10	0	1	0	0	3	1	100
Feb 2016	51	2	0	4	24	1	12	6	3	2	0	1	3	0	109
Jan 2016	35	8	1	2	26	2	10	2	2	0	1	2	1	2	94
Dec 2015	33	4	1	2	26	2	3	6	1	2	2	1	4	1	88
Nov 2015	27	6	0	7	25	2	9	6	0	0	1	1	2	1	87
Oct 2015	50	3	1	3	26	3	17	10	1	0	0	0	3	3	120
Sep 2015	24	5	1	0	20	2	17	2	1	2	1	1	1	0	77
Aug 2015	49	6	2	2	24	2	16	8	0	1	1	0	1	0	112
Jul 2015	36	2	1	4	15	5	13	3	1	1	0	2	2	0	85
Jun 2015	45	1	1	2	19	1	10	9	1	0	0	0	0	2	91
May 2015	31	2	0	2	15	0	12	7	1	2	0	0	3	0	75
Apr 2015	34	4	1	3	26	0	8	10	1	0	1	1	0	0	89
Mar 2015	24	0	0	1	16	1	7	6	2	2	0	0	0	1	60
Feb 2015	22	5	0	1	18	3	12	8	0	4	0	1	2	0	76
Jan 2015	26	0	0	2	17	0	8	9	2	1	0	0	2	0	67
Dec 2014	29	1	0	3	5	0	5	10	2	1	0	1	2	0	59
Nov 2014	23	4	0	4	12	3	10	3	1	3	2	0	0	0	65
Oct 2014	27	5	0	3	20	4	7	13	0	1	0	0	1	1	82
Sep 2014	30	2	1	3	11	1	13	9	1	1	1	0	0	1	74
Aug 2014	31	3	0	2	16	2	9	6	3	0	0	1	1	1	75
Jul 2014	46	7	1	2	20	2	7	6	2	2	0	0	1	1	97
Jun 2014	44	7	2	0	19	3	3	15	4	1	1	0	1	1	101
May 2014	43	3	0	1	15	2	3	12	1	1	0	0	0	0	81
Apr 2014	28	9	0	0	16	6	5	6	0	0	0	1	3	0	74
Mar 2014	39	3	0	3	13	5	6	10	2	1	1	0	0	0	83
Feb 2014	24	11	0	2	14	4	11	6	1	2	0	0	1	1	77
Jan 2014	27	5	0	3	12	6	8	8	0	0	0	0	4	0	73
Dec 2013	18	8	0	4	13	1	6	4	0	0	0	1	0	0	55
Nov 2013	28	11	0	5	15	3	11	11	2	2	0	0	1	3	92
Oct 2013	29	3	0	3	18	6	12	5	1	1	2	0	1	2	83
Sep 2013	32	0	0	2	13	1	11	3	3	0	0	0	1	1	67
Aug 2013	35	3	1	3	21	1	10	5	5	3	0	1	2	2	92
Jul 2013	39	6	0	0	22	3	10	8	1	0	0	0	1	0	90
Jun 2013	22	8	0	2	14	1	10	11	1	0	0	0	1	1	71
May 2013	28	3	1	6	8	5	14	6	3	0	1	0	2	1	78
Apr 2013	36	11	2	2	24	5	9	8			3	1		0	101
Mar 2013	23	12	0	3	5	1	4	8			3	1		0	60
Feb 2013	20	4	0	8	15	1	11	8			5	1		5	78
Jan 2013	38	6	0	2	12	0	8	6			3	3		1	79
Dec 2012	27	1	0	3	11	0	8	4			3	0		1	58
Nov 2012	29	4	1	4	19	1	12	8			0	2		2	82
Oct 2012	35	5	0	3	20	1	11	10			2	3		2	92
Sep 2012	30	9	0	4	12	1	8	10			7	1		3	85
Aug 2012	43	2	0	1	17	2	11	7			3	0		2	88
Jul 2012	37	5	0	1	14	0	14	5			1	0		4	81
Jun 2012	37	3	1	1	9	1	17	9			2	1		4	85
May 2012	39	7	0	4	4	3	13	13			3	2		4	92
Apr 2012	37	7	0	4	18	0	19	13			1	3		2	104
Mar 2012	47	3	0	9	10	0	25	10			4	1		2	111
Feb 2012	30	1	0	3	19	2	10	9			1	0		3	78
Jan 2012	28	7	1	1	12	0	27	11			6	3		2	98
Dec 2011	23	2	0	3	13	1	8	7			3	3		4	67
Nov 2011	26	4	0	2	7	0	16	13			1	1		1	71
Oct 2011	34	10	0	0	16	1	18	16			4	4		2	105
Sep 2011	26	12	0	5	10	0	13	21			3	0		2	92
Aug 2011	20	6	0	1	10	32									69
Jul 2011	46	5	0	2	9	27									89
Jun 2011	32	10	0	0	6	29									77
May 2011	28	3	0	2	7	32									72
Apr 2011	48	1	0	2	7	29									87
Mar 2011	21	6	0	2	11	38									78
Feb 2011	17	1	0	16	6	41									81
Jan 2011	14	11	0	6	7	24									62
Dec 2010	23	5	0	0	9	22									59

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 E02006167

Crime Type and ASB Charts for E02006167

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".