E02001696 MSOA

E02001696

Gateshead 015
Residential Population: 9,119 (mid-2020 estimate)

Males: 4,311

Females: 4,808

Population Density: 40.02 Persons per Hectare

Land Area: 227.86 Hectares

Daytime Population: 6,806

Population Density: 29.87 Persons per Hectare

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Crime in E02001696

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Feb 2024	14	2	1	4	35	2	12	7	3	0	1	1	7	0	89
Jan 2024	9	0	1	7	35	3	7	6	0	0	0	0	9	2	79
Dec 2023	11	1	0	7	29	0	7	3	0	0	0	0	5	2	65
Nov 2023	35	1	0	9	31	1	12	2	2	0	0	0	4	2	99
Oct 2023	39	2	0	2	28	2	14	5	0	1	1	1	8	2	105
Sep 2023	40	2	1	12	37	2	9	4	2	0	0	0	9	1	119
Aug 2023	40	7	2	10	43	2	22	2	2	0	0	3	4	2	139
Jul 2023	39	0	0	6	33	4	14	4	0	0	0	0	9	3	112
Jun 2023	29	0	0	9	38	0	15	5	1	0	1	0	9	5	112
May 2023	26	3	0	2	41	1	10	2	1	0	0	0	10	3	99
Apr 2023	35	5	1	7	43	3	13	10	0	0	0	0	8	2	127
Mar 2023	23	1	0	3	42	1	9	7	0	2	2	1	6	1	98
Feb 2023	17	0	1	4	35	2	8	2	2	0	0	1	6	2	80
Jan 2023	12	3	1	5	33	0	12	2	0	0	0	0	3	3	74
Dec 2022	17	2	0	4	25	0	11	3	0	0	1	3	4	1	71
Nov 2022	13	0	3	6	28	2	7	4	4	0	0	2	9	1	79
Oct 2022	25	3	0	1	35	2	8	4	1	1	1	0	6	1	88
Sep 2022	19	2	1	16	31	0	12	3	1	0	0	0	7	1	93
Aug 2022	32	1	1	2	23	0	9	5	2	0	0	0	6	0	81
Jul 2022	26	0	0	8	32	1	5	3	2	0	1	1	7	1	87
Jun 2022	36	3	0	6	28	2	10	3	2	0	0	2	12	6	110
May 2022	23	3	1	2	32	0	6	6	0	1	1	1	11	4	91
Apr 2022	28	1	0	2	31	3	17	3	0	0	0	2	6	0	93
Mar 2022	33	0	0	1	38	6	11	5	1	0	0	0	5	3	103
Feb 2022	29	1	0	2	26	1	16	1	0	1	0	1	9	1	88
Jan 2022	32	0	0	4	25	2	13	1	0	0	1	1	14	1	94
Dec 2021	17	4	0	4	27	3	12	3	1	0	0	0	10	1	82
Nov 2021	14	0	0	3	36	6	15	6	3	0	0	1	5	4	93
Oct 2021	11	0	0	3	23	2	9	2	1	0	0	0	3	3	57
Sep 2021	46	5	0	4	44	1	14	0	1	0	0	0	9	4	128
Aug 2021	38	1	0	1	31	3	10	2	1	0	0	1	10	4	102
Jul 2021	24	7	1	6	27	0	17	1	0	1	0	0	5	0	89
Jun 2021	54	6	0	7	39	2	10	6	0	1	0	0	5	2	132
May 2021	24	0	0	4	30	1	6	5	0	0	0	0	3	3	76
Apr 2021	28	2	0	2	35	1	10	2	0	1	1	0	10	3	95
Mar 2021	40	2	0	4	51	3	9	0	2	1	0	0	6	3	121
Feb 2021	22	2	1	1	24	3	4	0	1	0	1	1	8	2	70
Jan 2021	27	3	0	1	28	3	5	0	1	0	0	0	5	3	76
Dec 2020	17	3	0	3	20	2	13	1	0	0	1	0	6	2	68
Nov 2020	26	4	0	2	33	4	7	4	0	2	0	0	3	2	87
Oct 2020	30	5	0	4	30	2	7	3	1	0	0	0	10	4	96
Sep 2020	34	2	0	2	28	7	14	3	0	1	0	0	17	1	109
Aug 2020	47	2	0	3	37	2	18	11	0	0	0	0	16	4	140
Jul 2020	5	0	1	1	33	1	14	4	0	0	1	1	9	0	70
Jun 2020	29	11	0	1	30	0	13	2	0	0	0	3	12	5	106
May 2020	48	4	1	7	24	4	8	3	2	0	0	1	15	2	119
Apr 2020	54	1	0	4	22	4	6	0	1	0	0	0	2	1	95
Mar 2020	21	0	1	9	19	4	7	3	2	1	0	0	3	2	72
Feb 2020	30	2	0	2	29	7	6	2	0	0	1	0	8	5	92
Jan 2020	39	2	0	7	29	5	9	2	1	2	0	0	5	4	105
Dec 2019	1	5	0	4	23	5	12	4	0	0	0	0	11	0	65
Nov 2019	14	3	0	2	36	1	11	6	0	0	0	0	10	2	85
Oct 2019	25	3	1	5	26	3	15	3	1	0	0	0	8	2	92
Sep 2019	17	5	0	1	29	2	1	4	0	0	1	0	8	0	68
Aug 2019	19	4	0	2	27	3	1	6	2	0	1	2	8	1	76
Jul 2019	30	1	0	4	29	1	1	2	3	1	0	1	4	2	79
Jun 2019	30	5	0	11	34	10	10	5	2	0	0	0	11	0	118
May 2019	32	6	0	5	28	8	0	3	0	1	0	1	9	6	99
Apr 2019	37	3	0	8	33	11	17	5	0	0	1	0	4	2	121
Mar 2019	38	9	1	4	26	6	17	8	0	2	1	2	13	2	129
Feb 2019	38	5	2	7	28	7	25	6	0	1	1	1	11	1	133
Jan 2019	49	14	0	8	37	6	29	9	4	1	0	0	20	8	185
Dec 2018	67	8	0	8	25	2	29	7	0	2	1	0	7	6	162
Nov 2018	36	2	0	11	32	2	15	6	2	1	0	3	10	2	122
Oct 2018	42	10	0	10	45	0	19	2	2	0	0	0	11	1	142
Sep 2018	14	11	0	3	32	3	12	5	1	1	0	0	18	2	102
Aug 2018	29	7	2	2	25	5	17	6	0	0	0	1	13	5	112
Jul 2018	30	3	0	0	26	2	4	9	0	0	2	0	15	4	95
Jun 2018	28	5	0	3	22	3	6	7	0	0	1	0	16	2	93
May 2018	30	4	0	2	29	3	20	4	0	2	0	1	9	2	106
Apr 2018	33	3	2	8	29	5	21	3	2	0	0	3	15	1	125
Mar 2018	31	9	0	9	36	1	21	7	3	0	1	1	18	3	140
Feb 2018	24	5	0	9	23	9	9	4	0	0	0	0	6	1	90
Jan 2018	25	10	0	4	23	1	18	5	2	1	1	2	12	2	106
Dec 2017	40	7	0	8	25	1	18	8	2	0	0	1	15	6	131
Nov 2017	32	4	0	2	26	7	11	11	1	1	2	0	11	1	109
Oct 2017	37	6	0	6	34	1	14	7	1	2	0	0	14	6	128
Sep 2017	36	5	2	8	21	7	17	7	0	1	1	0	10	4	119
Aug 2017	29	3	0	1	19	1	23	7	0	0	1	1	15	2	102
Jul 2017	31	14	0	5	22	4	18	11	1	1	2	0	14	2	125
Jun 2017	54	2	1	3	24	4	9	7	1	1	0	1	18	1	126
May 2017	40	4	0	2	30	9	9	5	0	0	1	0	16	2	118
Apr 2017	36	4	0	5	15	9	12	3	0	0	0	0	4	1	89
Mar 2017	55	4	0	7	22	15	13	5	4	0	1	0	7	1	134
Feb 2017	29	1	1	6	19	13	25	3	1	1	0	0	5	6	110
Jan 2017	40	1	0	3	20	13	18	4	4	0	0	1	5	7	116
Dec 2016	35	5	0	4	19	7	12	4	0	0	0	2	5	2	95
Nov 2016	58	3	3	0	20	5	21	4	4	0	1	0	7	1	127
Oct 2016	49	0	1	3	23	10	17	6	2	0	0	0	14	2	127
Sep 2016	47	1	0	2	23	5	19	7	0	1	0	0	13	0	118
Aug 2016	44	3	0	7	20	6	9	4	0	1	1	0	5	1	101
Jul 2016	38	4	0	4	16	1	16	3	2	1	0	1	5	1	92
Jun 2016	22	1	1	1	16	0	8	3	2	1	0	1	6	3	65
May 2016	29	3	0	3	18	2	9	7	0	1	0	2	10	1	85
Apr 2016	36	0	1	2	19	2	8	5	0	0	0	0	4	1	78
Mar 2016	27	1	0	0	20	2	14	9	1	0	0	0	2	2	78
Feb 2016	16	6	0	2	33	5	12	7	0	3	0	0	4	1	89
Jan 2016	19	5	0	1	10	5	4	2	2	0	0	0	3	1	52
Dec 2015	28	5	0	5	10	7	16	4	1	0	0	0	2	0	78
Nov 2015	25	13	1	4	20	5	24	5	1	5	0	0	2	3	108
Oct 2015	46	6	0	1	14	4	12	7	0	2	0	0	2	1	95
Sep 2015	32	3	0	5	13	1	16	3	2	0	0	1	0	0	76
Aug 2015	39	5	0	3	8	5	8	5	0	0	1	0	1	2	77
Jul 2015	31	10	0	2	18	12	7	4	1	0	0	0	1	1	87
Jun 2015	41	6	0	1	11	7	7	4	3	0	0	1	1	3	85
May 2015	48	9	1	4	9	1	9	5	0	0	0	0	3	3	92
Apr 2015	48	7	0	8	9	2	8	4	2	0	0	0	2	1	91
Mar 2015	35	4	0	2	11	4	11	3	2	0	0	0	1	2	75
Feb 2015	24	1	0	5	8	5	4	1	2	1	0	0	0	0	51
Jan 2015	17	6	0	7	4	1	7	2	1	0	0	0	1	1	47
Dec 2014	13	12	0	2	5	2	10	3	0	1	0	0	1	1	50
Nov 2014	37	2	0	3	3	1	4	1	1	0	0	0	2	0	54
Oct 2014	43	2	0	2	4	7	6	4	2	1	0	1	1	1	74
Sep 2014	28	1	1	1	11	1	6	2	2	0	0	0	1	0	54
Aug 2014	37	5	0	2	6	2	1	7	0	1	0	1	2	0	64
Jul 2014	41	5	0	6	7	2	3	9	2	4	0	0	1	1	81
Jun 2014	32	3	0	5	9	4	4	8	1	0	0	0	1	1	68
May 2014	26	2	1	4	4	4	10	8	0	0	2	2	0	0	63
Apr 2014	29	6	0	4	6	0	7	2	5	0	0	0	0	0	59
Mar 2014	20	9	0	3	4	3	9	5	0	0	0	0	0	0	53
Feb 2014	21	4	0	1	9	1	1	4	0	1	0	0	4	0	46
Jan 2014	19	12	0	5	4	0	8	1	0	0	0	0	1	1	51
Dec 2013	17	10	0	3	2	0	9	2	0	0	0	0	0	0	43
Nov 2013	28	5	1	2	0	2	11	1	0	3	0	0	1	1	55
Oct 2013	26	9	1	0	5	1	8	2	1	2	0	0	1	0	56
Sep 2013	25	6	0	2	1	4	9	2	0	1	0	0	0	2	52
Aug 2013	31	1	0	2	3	8	1	4	1	0	0	1	2	0	54
Jul 2013	30	3	0	2	9	4	7	3	0	1	0	0	3	2	64
Jun 2013	28	3	0	1	6	1	8	2	0	0	0	0	1	0	50
May 2013	18	8	2	3	3	4	8	4	4	0	0	0	1	0	55
Apr 2013	27	5	0	3	6	8	4	3			0	1		2	59
Mar 2013	41	2	0	5	5	2	9	4			1	3		2	74
Feb 2013	34	5	0	2	2	2	7	1			1	5		1	60
Jan 2013	62	1	0	2	11	2	1	3			4	3		1	90
Dec 2012	34	4	0	3	1	6	5	2			0	3		2	60
Nov 2012	39	1	1	6	3	8	11	3			3	0		1	76
Oct 2012	30	1	0	5	2	5	5	2			1	0		0	51
Sep 2012	54	5	0	4	2	1	11	5			0	1		0	83
Aug 2012	54	7	1	3	4	0	5	8			1	2		0	85
Jul 2012	44	2	0	0	3	0	4	4			1	6		1	65
Jun 2012	42	1	1	1	4	4	3	4			3	3		1	67
May 2012	43	4	0	1	5	0	7	4			4	0		0	68
Apr 2012	42	3	0	4	2	1	4	3			2	0		0	61
Mar 2012	32	3	0	4	4	0	2	3			3	1		2	54
Feb 2012	31	4	0	4	2	2	9	2			1	0		0	55
Jan 2012	25	7	0	5	4	0	5	1			5	0		0	52
Dec 2011	39	4	0	4	8	3	12	1			2	0		2	75
Nov 2011	43	2	0	6	9	2	10	2			1	1		1	77
Oct 2011	36	2	0	4	3	6	6	3			0	0		0	60
Sep 2011	41	4	0	3	3	2	8	6			1	3		2	73
Aug 2011	36	10	0	3	6	25									80
Jul 2011	44	2	0	2	8	19									75
Jun 2011	49	2	0	0	10	26									87
May 2011	48	1	0	3	1	16									69
Apr 2011	53	2	0	1	7	15									78
Mar 2011	42	1	0	3	7	19									72
Feb 2011	48	2	0	0	1	21									72
Jan 2011	37	2	0	3	12	14									68
Dec 2010	36	0	0	1	2	8									47

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 E02001696

Crime Type and ASB Charts for E02001696

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".