E02001814 MSOA

E02001814

Sunderland 024
Residential Population: 6,141 (mid-2020 estimate)

Males: 2,982

Females: 3,159

Population Density: 27.19 Persons per Hectare

Land Area: 225.83 Hectares

Daytime Population: 6,691

Population Density: 29.63 Persons per Hectare

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Crime in E02001814

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Feb 2024	5	1	0	5	13	2	1	6	0	1	0	0	4	1	39
Jan 2024	2	3	0	1	14	4	2	4	0	0	0	0	5	3	38
Dec 2023	7	1	0	5	13	2	4	1	0	0	1	0	2	0	36
Nov 2023	3	0	0	4	21	2	4	1	0	0	1	1	4	1	42
Oct 2023	7	3	0	2	23	2	6	2	1	1	0	1	5	1	54
Sep 2023	16	4	0	10	9	1	10	2	0	1	0	0	5	2	60
Aug 2023	14	3	0	0	24	6	3	7	0	0	0	0	8	2	67
Jul 2023	6	1	0	4	31	2	19	4	0	0	0	2	8	3	80
Jun 2023	11	5	1	5	24	7	7	7	0	0	1	0	3	2	73
May 2023	7	5	0	3	22	7	4	5	1	0	1	0	9	3	67
Apr 2023	2	6	0	2	14	4	11	5	0	0	2	0	5	1	52
Mar 2023	6	3	0	0	19	7	9	2	0	0	0	2	9	2	59
Feb 2023	9	5	0	3	20	3	4	6	1	0	0	0	6	1	58
Jan 2023	12	0	1	6	18	1	7	6	0	0	0	0	3	0	54
Dec 2022	19	3	0	3	23	0	5	5	0	0	0	0	3	0	61
Nov 2022	6	1	0	7	24	3	7	3	1	0	0	0	2	2	56
Oct 2022	13	13	0	2	12	2	4	4	0	0	0	0	3	0	53
Sep 2022	11	1	0	6	11	1	1	2	0	0	0	0	3	0	36
Aug 2022	11	0	1	4	17	3	4	4	0	1	0	0	7	3	55
Jul 2022	19	2	0	2	29	2	2	3	0	0	0	0	11	2	72
Jun 2022	12	5	0	1	19	8	5	2	1	0	0	0	12	2	67
May 2022	12	4	0	2	22	3	4	1	0	0	1	0	6	0	55
Apr 2022	16	2	1	2	15	6	5	4	1	1	1	1	9	0	64
Mar 2022	16	0	0	0	19	10	13	6	1	0	0	0	6	1	72
Feb 2022	16	5	0	2	16	4	7	7	0	0	2	1	7	2	69
Jan 2022	13	3	1	1	18	2	4	5	2	1	1	0	6	1	58
Dec 2021	11	3	2	4	19	8	8	4	0	1	0	0	6	2	68
Nov 2021	9	2	0	2	23	6	10	7	0	0	0	0	2	1	62
Oct 2021	15	2	0	3	17	2	10	5	1	0	0	1	6	1	63
Sep 2021	16	2	0	2	16	8	2	3	1	0	0	0	1	3	54
Aug 2021	11	2	0	1	11	3	7	5	0	0	0	1	4	2	47
Jul 2021	13	2	1	0	20	3	6	4	0	0	0	0	4	3	56
Jun 2021	13	1	0	1	19	3	10	4	2	0	0	1	6	0	60
May 2021	4	1	0	2	20	7	5	2	2	0	0	0	2	0	45
Apr 2021	19	2	0	5	20	4	10	1	2	0	0	0	9	0	72
Mar 2021	23	1	1	5	18	7	13	3	1	0	0	1	10	2	85
Feb 2021	15	3	1	5	20	3	5	1	1	0	0	0	5	1	60
Jan 2021	13	2	0	1	21	5	9	7	1	0	0	0	4	2	65
Dec 2020	9	1	0	0	21	8	9	3	0	0	0	2	7	0	60
Nov 2020	28	4	0	4	12	9	7	2	1	0	0	1	9	1	78
Oct 2020	35	1	0	9	19	17	15	3	0	0	1	0	3	1	104
Sep 2020	17	3	0	3	10	13	10	2	1	0	0	0	1	0	60
Aug 2020	16	3	0	2	13	9	12	3	2	3	1	0	3	2	69
Jul 2020	2	6	3	5	22	14	10	3	0	1	0	1	8	1	76
Jun 2020	18	7	0	6	29	4	22	7	1	0	1	0	5	2	102
May 2020	25	2	1	7	25	8	11	5	0	0	0	2	13	6	105
Apr 2020	31	2	1	8	28	2	17	4	2	0	0	0	7	1	103
Mar 2020	9	2	1	0	20	8	7	5	2	0	0	1	6	1	62
Feb 2020	8	1	1	2	7	10	15	4	1	0	0	0	6	3	58
Jan 2020	9	4	0	7	20	10	20	8	2	2	1	1	10	1	95
Dec 2019	3	3	0	0	27	8	18	5	0	0	1	1	5	0	71
Nov 2019	6	2	1	3	15	8	5	1	1	0	1	0	4	3	50
Oct 2019	13	5	0	2	11	17	10	3	2	2	0	0	7	1	73
Sep 2019	4	3	0	6	29	13	0	8	0	1	0	2	7	2	75
Aug 2019	11	7	0	2	18	10	0	5	0	0	0	0	6	1	60
Jul 2019	10	3	0	3	25	11	2	9	3	2	0	0	10	0	78
Jun 2019	6	6	0	5	14	22	8	7	0	0	1	0	6	1	76
May 2019	4	0	0	11	16	31	3	5	1	0	0	3	8	0	82
Apr 2019	3	5	0	3	19	16	9	6	0	0	0	2	5	0	68
Mar 2019	6	1	0	5	18	34	7	5	0	2	0	0	11	1	90
Feb 2019	5	2	0	5	17	15	9	1	0	0	1	1	10	2	68
Jan 2019	3	2	0	3	15	7	12	2	1	1	1	2	5	1	55
Dec 2018	8	5	0	6	14	7	6	6	0	1	0	0	8	0	61
Nov 2018	7	4	0	11	26	13	9	6	1	0	2	0	6	4	89
Oct 2018	7	2	0	2	14	15	7	7	0	1	2	2	6	2	67
Sep 2018	16	3	0	3	11	3	7	4	1	0	0	0	6	2	56
Aug 2018	12	2	0	3	16	5	8	4	0	3	0	1	10	0	64
Jul 2018	10	4	0	2	12	13	12	2	0	0	1	1	8	3	68
Jun 2018	21	4	0	1	23	12	10	11	0	1	0	2	10	1	96
May 2018	16	8	0	9	27	7	9	6	1	0	1	0	9	0	93
Apr 2018	15	2	0	4	17	13	5	13	0	0	1	0	11	1	82
Mar 2018	8	4	0	7	10	5	7	5	1	1	0	0	6	3	57
Feb 2018	10	5	0	4	16	9	10	2	0	0	0	1	7	1	65
Jan 2018	5	1	0	0	14	4	11	2	0	0	0	0	11	6	54
Dec 2017	9	3	0	4	32	13	8	9	1	0	2	0	9	0	90
Nov 2017	11	9	0	3	16	12	13	6	1	1	0	0	11	1	84
Oct 2017	13	7	1	2	16	13	11	5	3	1	0	0	6	0	78
Sep 2017	11	5	0	5	15	10	7	12	0	0	1	0	13	0	79
Aug 2017	14	8	0	3	13	11	11	5	0	0	0	0	11	0	76
Jul 2017	8	6	0	3	25	10	6	11	0	0	0	0	10	4	83
Jun 2017	14	4	0	2	19	10	3	11	5	1	0	2	6	0	77
May 2017	15	3	0	4	16	12	10	8	0	0	0	0	10	1	79
Apr 2017	14	2	0	2	11	10	8	10	2	0	0	0	5	1	65
Mar 2017	13	2	0	3	18	6	8	7	0	0	1	1	4	3	66
Feb 2017	20	1	0	6	7	5	9	10	0	0	1	0	6	2	67
Jan 2017	19	7	0	5	7	5	7	11	0	0	0	0	10	1	72
Dec 2016	20	2	0	4	19	4	6	5	1	0	0	0	4	3	68
Nov 2016	15	7	0	2	13	11	9	6	1	0	0	1	1	0	66
Oct 2016	12	6	0	7	8	13	11	4	0	3	1	0	1	3	69
Sep 2016	24	6	0	3	12	5	6	8	2	1	0	0	9	0	76
Aug 2016	17	1	1	8	11	10	7	10	0	1	0	2	3	0	71
Jul 2016	22	2	0	2	13	7	3	6	2	3	0	0	9	0	69
Jun 2016	17	1	0	4	6	7	9	8	1	0	0	0	4	2	59
May 2016	16	6	0	4	6	10	6	8	0	0	0	1	1	0	58
Apr 2016	16	1	0	4	8	13	6	4	2	1	0	0	4	2	61
Mar 2016	16	1	0	2	11	5	10	4	1	0	0	0	2	2	54
Feb 2016	17	1	0	1	7	8	8	7	1	0	0	0	1	0	51
Jan 2016	26	2	0	2	13	8	4	3	0	0	0	0	1	0	59
Dec 2015	12	2	0	2	9	8	4	17	0	1	1	0	3	2	61
Nov 2015	11	6	0	3	11	3	9	6	1	2	0	1	2	1	56
Oct 2015	16	1	1	2	6	5	7	11	4	1	0	1	0	2	57
Sep 2015	19	4	0	6	6	12	7	6	1	2	0	0	4	0	67
Aug 2015	29	3	0	2	5	8	5	4	1	0	0	0	3	1	61
Jul 2015	25	4	1	5	5	5	12	5	1	1	0	1	1	0	66
Jun 2015	28	6	0	5	9	5	11	6	0	1	0	0	1	0	72
May 2015	30	3	0	2	6	11	10	4	1	1	0	0	0	0	68
Apr 2015	14	0	0	0	5	7	2	2	1	1	0	0	3	0	35
Mar 2015	24	2	0	0	5	10	8	7	3	0	0	1	2	1	63
Feb 2015	19	1	0	1	7	3	6	4	2	0	0	0	2	1	46
Jan 2015	9	2	0	1	5	12	1	6	1	0	0	0	2	0	39
Dec 2014	13	4	0	3	4	5	1	3	1	2	0	0	0	0	36
Nov 2014	13	6	0	2	11	7	5	7	0	1	0	1	0	0	53
Oct 2014	19	8	0	0	4	9	7	2	4	0	0	0	1	0	54
Sep 2014	18	5	0	7	2	7	7	6	7	0	0	0	1	0	60
Aug 2014	30	6	0	2	2	9	4	5	1	0	0	1	2	0	62
Jul 2014	28	6	0	11	3	2	4	4	3	0	0	0	0	0	61
Jun 2014	27	6	0	2	7	8	3	4	2	1	0	0	1	0	61
May 2014	35	0	0	0	4	14	11	7	4	3	0	0	1	0	79
Apr 2014	22	5	0	2	5	4	12	7	2	1	0	0	0	1	61
Mar 2014	22	1	1	6	2	11	4	4	0	1	0	0	0	1	53
Feb 2014	10	8	0	4	3	5	4	2	2	1	0	0	1	0	40
Jan 2014	20	5	0	4	3	6	2	4	1	0	0	0	1	0	46
Dec 2013	10	2	0	4	2	5	2	3	2	0	0	0	0	0	30
Nov 2013	21	3	0	2	0	9	6	9	2	0	0	0	0	0	52
Oct 2013	9	2	0	1	2	6	4	11	2	1	0	0	1	0	39
Sep 2013	23	1	0	0	2	1	4	4	0	0	0	1	0	1	37
Aug 2013	24	1	1	1	6	5	9	9	1	1	0	1	2	0	61
Jul 2013	49	4	0	1	6	6	3	4	0	1	0	0	2	1	77
Jun 2013	27	5	0	0	4	12	5	10	5	3	0	0	0	0	71
May 2013	22	10	0	4	2	10	5	4	1	0	0	1	2	1	62
Apr 2013	18	2	0	1	8	16	3	6			1	1		6	62
Mar 2013	27	1	0	4	7	9	4	3			3	1		6	65
Feb 2013	19	3	0	0	7	9	11	3			1	2		3	58
Jan 2013	17	5	0	1	0	8	8	4			0	3		0	46
Dec 2012	15	3	1	3	3	2	4	1			2	0		0	34
Nov 2012	22	0	0	5	3	4	3	4			3	2		2	48
Oct 2012	37	1	1	1	1	7	6	5			0	2		1	62
Sep 2012	35	4	1	1	2	4	1	7			1	0		0	56
Aug 2012	44	2	1	2	1	8	9	5			0	2		1	75
Jul 2012	28	0	0	3	6	5	7	6			1	1		1	58
Jun 2012	24	6	0	0	2	6	6	5			4	1		1	55
May 2012	30	14	0	3	6	12	2	6			1	2		5	81
Apr 2012	28	8	1	2	5	12	8	13			2	2		1	82
Mar 2012	28	5	0	6	3	9	7	5			6	2		1	72
Feb 2012	30	4	1	6	2	13	4	8			0	1		3	72
Jan 2012	35	5	0	1	7	13	5	4			2	0		2	74
Dec 2011	17	8	0	3	4	4	7	6			0	2		2	53
Nov 2011	30	9	0	7	7	13	7	7			5	1		2	88
Oct 2011	38	6	0	2	5	8	6	11			4	2		1	83
Sep 2011	35	2	0	2	3	13	3	10			0	2		4	74
Aug 2011	28	3	0	3	8	26									68
Jul 2011	38	7	0	4	3	31									83
Jun 2011	17	2	0	5	6	25									55
May 2011	12	3	0	5	2	26									48
Apr 2011	24	2	0	2	2	26									56
Mar 2011	26	3	0	5	4	21									59
Feb 2011	32	1	0	5	2	23									63
Jan 2011	21	2	0	1	4	24									52
Dec 2010	25	4	0	3	5	19									56

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 E02001814

Crime Type and ASB Charts for E02001814

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".