E02001804 MSOA

E02001804

Sunderland 014
Residential Population: 6,565 (mid-2020 estimate)

Males: 3,143

Females: 3,422

Population Density: 29.06 Persons per Hectare

Land Area: 225.94 Hectares

Daytime Population: 5,684

Population Density: 25.16 Persons per Hectare

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Crime in E02001804

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Feb 2024	11	0	0	2	17	0	7	3	2	0	0	1	3	2	48
Jan 2024	3	0	0	1	17	1	8	1	3	2	0	3	3	1	43
Dec 2023	10	1	1	2	28	0	4	2	0	1	1	2	2	4	58
Nov 2023	11	0	0	0	12	0	12	3	2	0	0	2	5	2	49
Oct 2023	22	2	0	4	22	1	15	1	5	0	0	2	6	3	83
Sep 2023	13	1	0	1	18	0	10	2	3	0	0	0	4	1	53
Aug 2023	12	4	1	1	37	2	9	4	2	0	0	2	5	1	80
Jul 2023	11	3	1	1	19	0	8	3	1	0	0	0	6	1	54
Jun 2023	21	0	0	2	22	1	6	1	1	2	0	0	6	1	63
May 2023	26	1	0	1	24	2	8	5	2	0	0	2	6	3	80
Apr 2023	28	1	0	2	24	2	14	4	2	2	0	0	5	1	85
Mar 2023	21	4	0	2	20	5	6	1	2	0	0	0	6	2	69
Feb 2023	19	1	0	1	20	4	7	0	1	0	0	0	9	2	64
Jan 2023	6	3	0	1	22	4	8	2	1	0	0	1	2	2	52
Dec 2022	21	0	0	0	12	2	4	2	0	0	0	0	4	3	48
Nov 2022	8	0	0	1	23	1	9	3	2	0	0	2	7	2	58
Oct 2022	26	1	0	2	17	2	9	3	1	1	0	0	4	1	67
Sep 2022	22	2	0	4	15	3	8	1	3	0	0	2	7	4	71
Aug 2022	27	2	0	2	22	2	10	3	0	0	0	1	8	2	79
Jul 2022	20	1	0	7	20	3	3	3	2	1	0	0	10	2	72
Jun 2022	31	2	0	3	20	0	6	4	0	1	0	0	1	2	70
May 2022	29	1	0	2	23	0	10	5	4	0	0	1	9	3	87
Apr 2022	32	3	0	7	28	2	7	1	0	0	0	1	6	4	91
Mar 2022	24	3	0	1	22	3	13	1	0	0	0	0	8	3	78
Feb 2022	18	2	0	0	23	0	14	6	3	0	0	0	4	1	71
Jan 2022	17	1	0	1	18	4	14	4	1	1	0	0	3	0	64
Dec 2021	10	3	1	1	18	0	6	0	0	0	0	0	2	0	41
Nov 2021	14	0	0	0	26	1	11	2	0	1	0	1	7	4	67
Oct 2021	20	0	0	0	15	0	11	6	1	1	0	0	7	2	63
Sep 2021	24	0	0	1	16	0	6	1	0	1	1	0	16	2	68
Aug 2021	27	1	0	0	21	3	10	7	1	2	0	0	6	3	81
Jul 2021	14	0	0	1	26	2	9	4	0	0	0	0	6	3	65
Jun 2021	29	1	0	2	25	2	13	3	1	0	0	0	6	4	86
May 2021	38	1	0	1	20	6	22	2	4	0	0	2	5	2	103
Apr 2021	83	1	0	0	24	3	12	0	0	1	0	2	6	2	134
Mar 2021	46	2	2	0	23	2	13	4	1	0	0	1	10	1	105
Feb 2021	31	0	0	1	17	1	7	4	1	0	0	0	6	7	75
Jan 2021	29	0	0	0	7	6	7	1	1	1	0	0	10	1	63
Dec 2020	27	2	0	1	14	1	7	3	2	0	0	0	5	1	63
Nov 2020	27	0	0	0	20	1	8	4	0	1	0	3	7	2	73
Oct 2020	46	1	0	1	24	2	10	5	1	1	0	2	10	3	106
Sep 2020	28	2	0	2	27	3	7	7	0	1	2	0	6	2	87
Aug 2020	26	2	0	0	31	0	12	3	0	0	1	0	18	1	94
Jul 2020	7	1	3	1	24	4	10	3	1	0	0	1	13	5	73
Jun 2020	20	3	0	1	19	0	9	3	0	4	0	0	9	0	68
May 2020	50	0	0	4	23	7	7	1	0	0	0	0	6	3	101
Apr 2020	66	0	0	0	23	1	5	2	1	0	1	0	9	3	111
Mar 2020	35	0	0	4	16	2	9	1	2	0	0	1	9	1	80
Feb 2020	23	3	0	2	21	3	9	0	0	0	0	0	5	1	67
Jan 2020	23	6	0	1	28	5	11	3	0	0	0	0	14	2	93
Dec 2019	3	3	1	4	21	6	6	2	0	0	0	0	10	2	58
Nov 2019	14	1	0	0	25	1	3	4	0	0	0	1	3	1	53
Oct 2019	17	2	0	4	19	5	8	7	0	0	0	0	5	2	69
Sep 2019	26	5	1	0	20	8	1	3	0	0	0	1	9	2	76
Aug 2019	21	0	0	2	22	3	0	6	0	1	0	1	4	2	62
Jul 2019	55	3	0	0	20	7	1	0	2	1	0	1	8	0	98
Jun 2019	18	1	1	0	13	5	4	1	1	0	0	2	13	1	60
May 2019	20	1	0	1	29	2	0	5	0	0	2	1	8	4	73
Apr 2019	33	1	0	1	21	8	12	1	0	0	1	0	15	0	93
Mar 2019	21	2	0	0	20	9	12	6	0	0	1	0	6	0	77
Feb 2019	23	3	0	3	30	6	8	1	3	0	0	2	9	1	89
Jan 2019	14	0	0	0	14	1	10	1	0	1	0	3	13	0	57
Dec 2018	16	3	1	8	21	2	7	5	1	1	0	1	7	0	73
Nov 2018	24	3	0	2	25	4	8	13	2	0	1	0	7	0	89
Oct 2018	34	1	0	3	25	10	10	4	0	1	0	0	9	2	99
Sep 2018	18	0	1	1	29	7	7	7	0	1	0	1	10	1	83
Aug 2018	26	0	0	0	20	7	5	4	2	0	0	2	15	3	84
Jul 2018	23	2	0	4	21	4	12	8	1	2	0	1	15	4	97
Jun 2018	27	6	0	5	30	5	8	3	0	1	0	2	9	1	97
May 2018	20	2	0	3	31	5	9	5	1	2	0	1	17	2	98
Apr 2018	29	5	0	2	25	3	13	5	1	0	1	3	10	3	100
Mar 2018	31	4	0	2	26	11	11	4	1	1	0	1	13	0	105
Feb 2018	25	4	0	1	31	5	8	4	0	1	0	0	5	2	86
Jan 2018	45	7	0	2	23	3	10	4	2	0	0	1	10	5	112
Dec 2017	15	1	0	4	17	3	5	2	0	0	1	1	7	3	59
Nov 2017	30	3	0	4	20	7	15	6	2	1	0	0	10	4	102
Oct 2017	35	1	0	1	26	9	11	6	3	0	1	0	7	3	103
Sep 2017	32	2	0	1	20	16	10	10	0	1	2	1	7	3	105
Aug 2017	45	0	0	2	23	9	18	14	0	1	0	2	14	0	128
Jul 2017	24	5	0	2	17	13	11	6	0	0	0	2	11	1	92
Jun 2017	28	3	0	1	26	10	9	4	0	1	0	2	11	2	97
May 2017	20	0	0	1	25	5	8	1	0	0	0	0	12	2	74
Apr 2017	22	2	0	1	21	9	9	4	0	0	0	0	6	2	76
Mar 2017	26	0	0	2	16	8	11	4	2	0	0	0	7	3	79
Feb 2017	27	1	0	2	14	6	10	6	1	1	0	1	7	1	77
Jan 2017	21	0	0	0	11	9	11	7	1	0	0	0	7	3	70
Dec 2016	28	0	0	1	16	6	15	3	1	0	0	0	2	0	72
Nov 2016	20	0	0	2	14	4	5	7	2	0	0	0	7	3	64
Oct 2016	29	1	0	2	20	4	8	3	0	1	0	1	6	2	77
Sep 2016	20	2	0	1	12	6	5	5	0	2	0	0	4	0	57
Aug 2016	24	1	1	0	16	9	7	6	0	2	0	0	6	0	72
Jul 2016	18	1	0	0	12	5	6	1	0	0	0	2	5	1	51
Jun 2016	20	0	0	0	11	9	5	5	1	0	0	0	7	2	60
May 2016	18	0	0	2	13	4	5	6	1	0	0	0	7	2	58
Apr 2016	30	0	0	0	18	7	6	5	1	0	0	0	4	2	73
Mar 2016	30	1	0	0	10	11	3	6	0	2	0	0	3	0	66
Feb 2016	10	0	0	1	10	7	5	9	0	0	0	0	2	1	45
Jan 2016	10	3	0	1	8	6	8	7	0	0	0	0	2	0	45
Dec 2015	15	2	1	1	16	7	11	5	0	1	0	1	3	0	63
Nov 2015	13	0	0	2	9	5	4	6	0	0	0	0	2	2	43
Oct 2015	25	0	0	2	7	10	2	6	1	1	0	0	1	1	56
Sep 2015	19	1	0	1	8	10	9	6	0	0	0	1	2	0	57
Aug 2015	21	0	3	0	4	9	8	4	2	0	0	0	1	1	53
Jul 2015	27	1	1	0	4	1	6	2	1	0	0	0	2	0	45
Jun 2015	30	1	0	1	1	5	8	4	0	0	0	0	0	0	50
May 2015	12	0	1	2	10	5	3	4	1	1	0	0	0	0	39
Apr 2015	43	0	1	5	4	11	2	3	1	0	0	0	1	1	72
Mar 2015	14	1	0	0	6	10	2	0	0	0	0	1	3	0	37
Feb 2015	12	1	0	1	2	7	5	1	1	0	0	0	1	2	33
Jan 2015	18	2	0	1	5	7	3	1	0	0	0	0	0	1	38
Dec 2014	13	1	0	4	12	8	3	2	1	0	0	0	1	1	46
Nov 2014	25	1	0	1	6	15	5	5	1	0	0	0	3	0	62
Oct 2014	25	1	0	2	13	4	6	7	2	0	0	2	0	0	62
Sep 2014	22	1	0	0	6	5	5	0	0	0	0	0	2	1	42
Aug 2014	23	0	0	0	9	4	8	3	1	0	0	0	2	0	50
Jul 2014	28	0	0	1	4	7	3	4	0	0	0	1	0	0	48
Jun 2014	20	1	0	1	3	4	0	0	3	0	0	0	1	0	33
May 2014	26	1	1	3	1	11	6	1	2	0	0	0	1	1	54
Apr 2014	28	3	0	1	5	3	3	0	2	1	0	1	3	0	50
Mar 2014	19	1	0	0	2	4	2	3	1	0	0	2	2	3	39
Feb 2014	30	3	0	7	5	9	5	2	1	1	0	0	0	0	63
Jan 2014	22	2	0	2	6	8	4	2	1	1	0	0	0	1	49
Dec 2013	20	2	0	3	5	6	5	2	0	0	0	0	0	1	44
Nov 2013	30	2	0	1	2	7	7	0	3	2	0	2	1	1	58
Oct 2013	43	2	0	0	6	2	8	0	1	0	0	0	0	3	65
Sep 2013	29	0	0	1	5	5	6	1	2	1	0	0	1	0	51
Aug 2013	41	0	0	2	3	0	2	2	1	1	0	0	0	0	52
Jul 2013	30	0	0	1	5	1	5	2	7	0	0	0	2	1	54
Jun 2013	21	3	0	4	4	0	0	1	3	0	0	0	0	1	37
May 2013	30	3	0	2	3	1	9	2	2	0	0	0	1	1	54
Apr 2013	25	1	0	0	2	6	8	3			1	2		2	50
Mar 2013	37	1	0	1	1	2	4	3			2	0		0	51
Feb 2013	29	0	0	2	3	2	6	1			2	0		0	45
Jan 2013	33	1	0	2	1	13	8	1			1	1		0	61
Dec 2012	38	6	0	2	0	5	5	3			1	2		1	63
Nov 2012	31	5	0	4	4	7	5	3			2	2		0	63
Oct 2012	40	9	0	1	5	7	5	2			1	1		1	72
Sep 2012	33	0	0	2	3	3	5	3			2	0		0	51
Aug 2012	43	3	1	1	5	9	9	2			4	0		1	78
Jul 2012	34	0	0	0	2	7	2	4			2	0		2	53
Jun 2012	30	6	0	2	1	5	3	1			1	1		0	50
May 2012	33	3	0	1	0	12	5	2			0	0		1	57
Apr 2012	20	1	0	1	3	11	4	6			2	0		1	49
Mar 2012	32	1	0	2	4	6	7	2			1	0		2	57
Feb 2012	28	2	0	2	3	4	2	1			0	1		0	43
Jan 2012	29	4	0	1	0	3	9	6			0	1		2	55
Dec 2011	22	3	0	0	2	3	5	3			1	4		0	43
Nov 2011	37	2	0	2	4	3	6	1			0	0		0	55
Oct 2011	28	0	0	1	6	1	11	0			0	0		0	47
Sep 2011	29	2	0	4	5	0	8	2			2	2		0	54
Aug 2011	33	1	0	5	2	11									52
Jul 2011	47	1	0	0	6	12									66
Jun 2011	25	1	0	1	4	13									44
May 2011	28	0	0	2	1	14									45
Apr 2011	34	1	0	1	2	21									59
Mar 2011	37	1	0	1	5	6									50
Feb 2011	39	4	0	1	4	18									66
Jan 2011	30	0	0	2	6	11									49
Dec 2010	24	0	0	1	4	7									36

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 E02001804

Crime Type and ASB Charts for E02001804

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".