E02001802 MSOA

E02001802

Sunderland 012
Residential Population: 6,970 (mid-2020 estimate)

Males: 3,245

Females: 3,725

Population Density: 41.22 Persons per Hectare

Land Area: 169.08 Hectares

Daytime Population: 5,719

Population Density: 33.82 Persons per Hectare

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Crime in E02001802

	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	4	0	2	42	3	12	5	2	0	0	1	11	2	92
Jan 2024	8	0	0	2	37	10	7	5	3	0	1	0	4	4	81
Dec 2023	9	2	0	3	24	4	10	0	5	0	0	2	3	0	62
Nov 2023	21	4	0	1	28	5	11	1	3	1	0	0	2	1	78
Oct 2023	12	3	0	4	24	8	4	2	7	2	0	0	2	0	68
Sep 2023	14	2	0	1	31	6	7	4	3	0	1	0	2	1	72
Aug 2023	11	1	0	3	37	3	8	4	2	0	0	1	4	2	76
Jul 2023	16	1	0	1	28	8	10	4	4	0	0	0	6	2	80
Jun 2023	25	1	0	1	27	12	5	2	2	0	0	1	5	5	86
May 2023	33	2	0	3	35	9	11	9	4	1	0	0	5	4	116
Apr 2023	15	2	0	1	28	8	11	1	3	0	1	0	11	1	82
Mar 2023	22	5	0	3	30	11	9	7	0	0	0	3	3	0	93
Feb 2023	7	1	0	1	24	5	9	4	0	0	0	2	6	1	60
Jan 2023	12	0	0	2	27	8	14	2	2	0	0	1	4	4	76
Dec 2022	10	2	0	6	17	11	8	3	2	1	0	1	4	4	69
Nov 2022	24	2	0	1	41	8	13	1	4	0	0	0	1	5	100
Oct 2022	19	1	0	2	18	11	15	4	3	0	1	1	6	2	83
Sep 2022	12	2	0	6	23	8	5	5	0	0	0	1	6	1	69
Aug 2022	22	3	0	5	30	10	15	8	2	1	0	1	8	2	107
Jul 2022	17	10	0	4	24	12	14	4	4	0	0	0	9	4	102
Jun 2022	13	2	0	2	33	15	13	9	3	3	0	0	6	10	109
May 2022	25	1	0	1	21	8	7	3	2	2	0	1	4	1	76
Apr 2022	14	0	0	3	26	4	5	3	1	0	0	0	2	2	60
Mar 2022	18	5	0	6	36	12	11	3	2	0	0	0	7	5	105
Feb 2022	21	4	0	4	36	11	12	0	0	0	0	1	7	1	97
Jan 2022	24	1	0	2	21	4	12	3	2	1	0	1	6	4	81
Dec 2021	13	2	0	3	20	3	10	2	2	0	1	0	6	1	63
Nov 2021	17	3	0	5	29	5	8	2	1	0	0	0	8	2	80
Oct 2021	17	4	0	2	35	8	11	3	2	1	0	0	8	2	93
Sep 2021	13	1	0	1	18	6	8	2	0	0	0	0	10	1	60
Aug 2021	14	0	0	1	23	4	10	6	1	0	3	0	8	1	71
Jul 2021	17	1	0	0	19	10	14	1	1	0	0	0	15	7	85
Jun 2021	23	1	0	0	25	4	12	1	1	2	0	1	10	1	81
May 2021	17	3	0	1	23	6	12	6	1	1	1	0	3	3	77
Apr 2021	40	3	0	3	27	2	11	3	0	1	0	0	5	2	97
Mar 2021	33	2	1	0	25	2	11	1	0	0	0	1	10	1	87
Feb 2021	22	2	0	0	18	8	9	3	1	0	0	0	5	0	68
Jan 2021	18	1	0	2	32	7	6	2	1	0	0	1	5	2	77
Dec 2020	14	4	0	2	27	11	23	3	1	1	0	0	4	4	94
Nov 2020	31	4	0	1	23	5	20	5	4	0	0	2	8	3	106
Oct 2020	23	2	1	5	37	5	11	3	0	0	0	1	6	1	95
Sep 2020	24	3	0	5	27	14	10	4	1	1	1	0	10	2	102
Aug 2020	25	2	0	3	20	6	13	1	0	0	0	1	9	2	82
Jul 2020	3	2	1	4	42	3	13	4	3	2	0	0	10	2	89
Jun 2020	17	3	0	3	33	2	10	5	0	0	0	1	12	1	87
May 2020	47	1	0	5	23	4	15	1	0	0	0	1	8	2	107
Apr 2020	50	4	1	3	26	4	9	4	1	0	0	0	8	2	112
Mar 2020	9	2	0	3	16	4	5	7	1	1	1	0	6	4	59
Feb 2020	8	5	0	2	10	5	8	4	0	0	0	1	3	1	47
Jan 2020	16	4	0	2	33	10	12	6	0	1	0	0	7	2	93
Dec 2019	2	0	1	0	21	6	8	3	0	1	0	0	6	4	52
Nov 2019	6	2	0	0	36	7	16	6	2	0	0	0	6	3	84
Oct 2019	14	1	1	2	23	6	14	6	1	2	0	2	7	2	81
Sep 2019	12	2	0	0	23	3	0	7	0	0	0	2	10	2	61
Aug 2019	12	6	0	1	24	11	0	3	1	0	1	0	15	1	75
Jul 2019	22	2	0	0	25	2	2	0	3	0	0	0	13	3	72
Jun 2019	11	3	0	2	17	3	11	3	1	1	0	0	8	1	61
May 2019	12	1	0	0	23	7	1	5	1	0	0	0	14	2	66
Apr 2019	21	4	0	3	18	5	7	5	3	1	1	0	13	2	83
Mar 2019	14	11	0	1	25	2	8	4	2	0	0	0	4	3	74
Feb 2019	15	2	0	1	17	10	8	6	0	0	1	1	11	0	72
Jan 2019	10	4	1	2	34	10	12	3	1	0	1	0	9	4	91
Dec 2018	7	2	0	3	27	3	16	3	3	0	1	0	11	2	78
Nov 2018	14	2	1	4	30	4	17	4	3	3	2	0	12	1	97
Oct 2018	19	4	0	0	26	1	8	3	1	1	0	1	11	1	76
Sep 2018	11	3	1	1	21	4	9	5	0	0	0	0	16	2	73
Aug 2018	16	2	0	1	24	2	12	4	2	1	2	0	8	9	83
Jul 2018	17	5	0	2	38	3	25	7	0	0	0	0	9	4	110
Jun 2018	12	3	0	7	36	9	12	5	1	0	0	0	19	4	108
May 2018	9	1	0	1	26	11	13	3	2	0	0	2	13	1	82
Apr 2018	26	1	0	5	26	2	14	9	1	1	0	0	6	1	92
Mar 2018	13	3	1	4	25	8	10	3	0	0	0	0	12	4	83
Feb 2018	18	0	0	1	23	1	9	5	1	0	0	1	8	3	70
Jan 2018	20	1	0	1	23	2	10	2	0	1	1	0	2	4	67
Dec 2017	7	1	0	1	27	7	6	4	1	0	0	1	12	1	68
Nov 2017	25	7	0	4	20	9	10	4	0	2	0	0	10	2	93
Oct 2017	22	1	1	1	19	4	12	4	0	1	0	1	9	0	75
Sep 2017	15	0	0	1	14	9	12	5	0	0	0	0	7	3	66
Aug 2017	17	2	0	1	25	2	15	7	1	2	0	2	9	1	84
Jul 2017	11	0	0	3	28	6	15	3	1	0	0	0	8	1	76
Jun 2017	23	4	0	5	18	6	8	1	2	0	0	0	5	1	73
May 2017	24	3	0	2	17	17	14	7	1	2	1	0	12	0	100
Apr 2017	9	2	0	0	11	5	11	3	1	0	0	1	3	0	46
Mar 2017	13	3	0	1	18	5	13	3	1	0	0	0	9	2	68
Feb 2017	9	3	0	0	21	3	6	10	0	0	0	0	6	0	58
Jan 2017	13	1	1	1	12	2	12	5	1	0	0	1	2	0	51
Dec 2016	10	4	1	0	10	4	8	5	0	0	0	0	1	1	44
Nov 2016	8	2	0	3	8	4	4	9	0	0	0	0	4	3	45
Oct 2016	18	3	0	0	12	3	11	5	3	1	0	0	1	0	57
Sep 2016	9	3	3	5	9	3	11	4	2	0	3	0	6	3	61
Aug 2016	9	2	0	5	12	5	7	3	0	0	0	0	3	0	46
Jul 2016	14	4	0	3	5	6	7	2	0	0	0	0	9	2	52
Jun 2016	16	0	0	2	16	7	6	4	0	1	0	0	1	2	55
May 2016	7	3	0	5	13	1	13	4	3	0	0	0	2	2	53
Apr 2016	14	5	0	6	16	2	3	9	1	0	0	0	1	0	57
Mar 2016	13	0	0	2	13	11	7	5	3	2	0	0	2	1	59
Feb 2016	13	3	0	3	8	13	6	1	1	0	1	1	0	1	51
Jan 2016	3	2	0	0	17	4	5	9	1	0	0	0	3	2	46
Dec 2015	15	3	0	5	9	9	7	6	1	0	1	1	4	0	61
Nov 2015	12	2	0	3	16	8	6	10	2	0	0	0	1	1	61
Oct 2015	20	3	0	2	13	8	6	7	1	0	0	0	0	3	63
Sep 2015	13	5	0	0	13	8	7	5	2	2	1	1	1	0	58
Aug 2015	24	1	0	1	8	11	3	2	0	0	0	1	1	1	53
Jul 2015	23	2	0	2	8	9	14	7	2	1	0	2	1	0	71
Jun 2015	28	2	0	2	9	3	6	3	1	0	0	0	3	0	57
May 2015	25	4	0	1	2	4	10	4	0	0	0	0	0	1	51
Apr 2015	32	3	0	2	5	6	15	4	1	0	0	0	0	0	68
Mar 2015	22	6	0	1	6	1	9	4	0	0	0	0	0	0	49
Feb 2015	12	1	0	1	3	2	10	1	0	0	0	1	0	0	31
Jan 2015	12	3	0	5	3	2	4	1	3	0	0	1	2	1	37
Dec 2014	23	2	0	2	7	4	4	3	1	1	1	0	2	0	50
Nov 2014	28	1	1	0	6	5	7	3	0	1	0	0	1	1	54
Oct 2014	18	12	0	3	10	9	5	4	3	0	0	0	0	0	64
Sep 2014	23	0	0	1	2	1	3	5	1	0	0	0	1	2	39
Aug 2014	27	5	0	3	1	2	11	0	2	0	0	1	0	2	54
Jul 2014	25	1	0	4	5	4	9	2	2	0	0	0	1	1	54
Jun 2014	23	1	1	0	9	3	4	1	0	0	0	0	0	1	43
May 2014	17	3	0	1	2	1	4	4	1	0	0	1	0	0	34
Apr 2014	22	2	0	0	2	0	5	2	2	0	0	0	0	0	35
Mar 2014	20	0	0	1	3	2	4	2	0	0	0	0	1	1	34
Feb 2014	24	3	1	2	2	3	6	4	1	0	0	0	0	1	47
Jan 2014	20	2	0	1	3	5	3	5	9	2	1	0	1	0	52
Dec 2013	16	2	0	0	1	4	7	3	1	0	0	0	1	1	36
Nov 2013	34	5	0	2	5	13	10	4	1	0	0	0	1	1	76
Oct 2013	16	1	0	0	6	7	5	2	0	0	0	0	1	0	38
Sep 2013	25	2	0	1	3	2	4	1	1	1	0	0	1	1	42
Aug 2013	31	1	0	1	6	2	5	2	0	0	1	0	3	1	53
Jul 2013	27	2	0	3	6	4	1	3	0	0	0	2	1	0	49
Jun 2013	24	3	0	4	4	1	5	4	1	1	0	0	2	0	49
May 2013	25	1	0	1	5	5	5	2	0	1	0	0	1	1	47
Apr 2013	14	3	0	1	3	9	5	2			2	4		2	45
Mar 2013	20	4	0	1	4	1	8	2			0	2		0	42
Feb 2013	14	1	0	2	7	1	3	1			1	2		0	32
Jan 2013	25	0	0	1	6	8	7	4			1	1		1	54
Dec 2012	17	4	0	3	0	2	7	4			1	0		0	38
Nov 2012	13	4	0	0	6	4	1	2			0	2		0	32
Oct 2012	14	0	0	1	2	4	21	3			1	0		0	46
Sep 2012	30	2	0	0	3	7	9	5			1	2		1	60
Aug 2012	31	2	0	2	3	4	11	4			3	0		0	60
Jul 2012	27	4	0	1	4	4	5	3			0	2		0	50
Jun 2012	28	0	0	5	4	10	8	5			0	0		5	65
May 2012	26	2	0	0	3	5	2	2			0	2		1	43
Apr 2012	23	1	0	2	2	5	13	2			4	1		0	53
Mar 2012	23	2	0	4	2	10	10	3			2	0		2	58
Feb 2012	23	2	0	1	6	10	10	1			1	0		3	57
Jan 2012	22	1	0	2	2	6	7	4			1	0		2	47
Dec 2011	20	0	0	0	7	6	10	2			4	1		4	54
Nov 2011	31	3	0	1	3	16	5	6			3	1		1	70
Oct 2011	32	0	1	3	9	12	11	3			1	1		2	75
Sep 2011	24	4	1	3	2	12	5	5			0	3		0	59
Aug 2011	39	3	0	0	7	21									70
Jul 2011	37	1	0	4	4	15									61
Jun 2011	23	2	0	1	4	20									50
May 2011	22	1	0	0	1	13									37
Apr 2011	28	5	0	1	1	25									60
Mar 2011	24	3	0	2	3	28									60
Feb 2011	26	1	0	1	3	13									44
Jan 2011	18	1	0	0	10	19									48
Dec 2010	18	2	0	1	3	21									45

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 E02001802

Crime Type and ASB Charts for E02001802

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".