WN2 3 Postcode Sector

WN2 3, Wigan

Found within Postcode District WN2, which covers Abram Ward, Hindley Green Ward, Hindley Ward, Wigan Central Ward

Residential Population: 9,341

Population Density: 21.73 Persons per Hectare

Land Area: 429.94 Hectares

Daytime Population: 8,497

Population Density: 19.76 Persons per Hectare

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Crime in WN2 3, Wigan

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Feb 2024	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Jan 2024	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Dec 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Nov 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Oct 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Sep 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Aug 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Jul 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Jun 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
May 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Apr 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Mar 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Feb 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Jan 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Dec 2022	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Nov 2022	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Oct 2022	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Sep 2022	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Aug 2022	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Jul 2022	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Jun 2022	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
May 2022	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Apr 2022	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Mar 2022	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Feb 2022	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Jan 2022	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Dec 2021	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Nov 2021	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Oct 2021	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Sep 2021	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1
Aug 2021	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Jul 2021	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Jun 2021	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
May 2021	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Apr 2021	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Mar 2021	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Feb 2021	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1
Jan 2021	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Dec 2020	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Nov 2020	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Oct 2020	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Sep 2020	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Aug 2020	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Jul 2020	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Jun 2020	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
May 2020	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Apr 2020	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Mar 2020	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Feb 2020	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Jan 2020	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Dec 2019	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Nov 2019	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Oct 2019	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Sep 2019	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Aug 2019	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Jul 2019	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Jun 2019	17	1	0	4	18	0	12	10	2	2	0	1	5	3	75
May 2019	20	8	2	4	31	2	12	8	2	2	0	2	14	4	111
Apr 2019	22	15	1	6	36	4	11	10	1	2	1	3	2	2	116
Mar 2019	24	10	0	7	33	5	20	8	2	2	0	1	11	0	123
Feb 2019	23	4	0	7	28	1	18	6	0	2	0	0	7	2	98
Jan 2019	21	7	1	5	32	1	30	6	1	2	0	0	14	3	123
Dec 2018	14	6	0	19	30	1	13	9	2	0	0	0	6	4	104
Nov 2018	21	6	1	4	29	3	11	9	1	1	0	2	9	1	98
Oct 2018	7	8	0	12	30	2	10	4	1	0	0	0	6	2	82
Sep 2018	13	7	1	9	35	2	5	2	3	0	0	1	5	5	88
Aug 2018	13	3	0	6	26	0	8	5	1	0	0	1	8	3	74
Jul 2018	25	9	0	3	30	3	12	8	1	0	0	2	17	5	115
Jun 2018	19	11	1	3	23	2	11	6	2	1	0	0	19	3	101
May 2018	20	2	0	11	34	5	8	7	0	0	0	0	16	2	105
Apr 2018	44	4	0	2	31	3	11	6	2	0	0	0	8	1	112
Mar 2018	26	6	2	3	48	0	13	5	1	2	1	0	11	0	118
Feb 2018	19	6	0	8	25	0	8	6	2	0	0	0	5	0	79
Jan 2018	14	6	1	2	27	0	12	10	0	0	0	0	9	2	83
Dec 2017	24	11	1	7	39	2	15	7	0	0	0	0	7	1	114
Nov 2017	16	11	1	3	37	0	15	9	1	0	0	0	7	2	102
Oct 2017	37	16	0	5	32	2	16	9	1	0	0	0	10	2	130
Sep 2017	23	12	0	5	24	3	10	2	0	1	0	0	10	0	90
Aug 2017	30	9	0	7	40	2	17	8	4	0	1	0	10	6	134
Jul 2017	27	6	1	4	35	0	9	8	2	0	0	0	4	4	100
Jun 2017	36	9	0	4	39	0	19	6	1	0	0	1	11	4	130
May 2017	30	9	0	4	44	1	14	7	0	0	0	2	12	0	123
Apr 2017	31	9	0	2	31	2	21	7	0	1	1	1	7	1	114
Mar 2017	34	16	0	8	40	2	14	9	2	0	0	0	13	0	138
Feb 2017	21	11	0	7	26	1	11	9	3	1	0	1	6	5	102
Jan 2017	32	7	1	3	24	1	8	5	0	0	0	0	6	1	88
Dec 2016	31	11	0	6	30	2	15	13	0	0	0	0	9	2	119
Nov 2016	33	9	0	9	22	1	13	8	0	1	1	0	11	4	112
Oct 2016	61	6	0	2	20	1	21	13	0	0	0	2	11	4	141
Sep 2016	52	9	1	9	16	5	16	6	2	0	1	0	4	1	122
Aug 2016	55	7	0	3	24	2	6	3	0	0	0	1	3	1	105
Jul 2016	38	8	1	4	22	5	6	6	0	1	0	0	3	3	97
Jun 2016	55	9	0	6	18	4	5	9	1	0	1	0	3	2	113
May 2016	47	7	1	4	20	2	18	6	2	1	0	0	4	1	113
Apr 2016	69	6	0	7	11	3	22	4	1	0	1	1	7	3	135
Mar 2016	43	8	1	1	18	2	15	7	2	0	0	1	3	0	101
Feb 2016	38	6	0	4	23	2	29	5	1	1	0	1	1	3	114
Jan 2016	23	5	0	10	14	2	13	2	1	1	0	0	1	2	74
Dec 2015	34	6	0	2	21	3	15	4	3	0	1	1	4	1	95
Nov 2015	45	4	0	9	25	1	10	9	4	0	0	1	5	1	114
Oct 2015	54	10	1	6	21	4	17	10	0	1	0	0	8	1	133
Sep 2015	30	11	0	8	17	2	7	6	0	3	0	0	2	0	86
Aug 2015	24	11	0	4	19	7	8	9	2	0	0	0	1	0	85
Jul 2015	47	9	0	1	16	3	9	10	1	2	1	2	3	0	104
Jun 2015	30	16	0	15	18	4	6	12	0	0	0	1	1	1	104
May 2015	45	12	1	2	19	2	12	9	1	1	1	1	7	4	117
Apr 2015	46	19	0	7	11	1	9	7	2	0	1	0	6	1	110
Mar 2015	67	6	1	7	21	4	26	11	1	0	0	0	3	1	148
Feb 2015	44	10	2	4	21	4	13	16	2	1	0	0	3	0	120
Jan 2015	56	7	0	4	14	5	18	10	0	2	4	1	2	2	125
Dec 2014	42	6	1	5	14	1	12	9	1	0	0	0	1	0	92
Nov 2014	46	7	2	3	21	10	14	10	4	1	0	0	4	1	123
Oct 2014	57	6	0	6	14	0	18	3	1	1	0	2	1	3	112
Sep 2014	44	7	0	8	10	0	15	12	2	1	0	0	4	1	104
Aug 2014	29	4	1	1	9	1	16	10	2	0	0	0	1	1	75
Jul 2014	51	5	2	2	19	1	13	10	2	0	0	0	1	0	106
Jun 2014	52	6	0	5	12	4	21	7	1	1	0	0	3	0	112
May 2014	43	9	0	7	13	4	5	13	0	1	0	0	2	1	98
Apr 2014	54	4	1	2	13	4	9	6	3	1	0	0	5	1	103
Mar 2014	48	7	0	16	9	4	21	7	2	1	1	1	0	0	117
Feb 2014	55	6	1	6	4	2	15	10	1	0	0	0	5	0	105
Jan 2014	52	6	1	9	15	2	21	11	2	0	2	0	3	1	125
Dec 2013	40	10	1	8	10	2	16	3	3	1	0	0	0	1	95
Nov 2013	42	15	2	14	6	3	19	5	0	1	0	0	2	0	109
Oct 2013	45	14	1	5	12	3	9	7	2	2	1	0	1	1	103
Sep 2013	32	4	0	8	8	3	7	5	0	0	1	0	3	1	72
Aug 2013	42	14	1	3	6	2	16	4	0	0	0	0	2	0	90
Jul 2013	51	3	1	5	8	2	9	6	5	1	0	0	0	0	91
Jun 2013	53	1	0	1	5	1	10	7	3	2	0	0	0	2	85
May 2013	59	6	0	5	7	1	13	3	2	0	0	0	0	1	97
Apr 2013	48	5	0	10	1	2	15	2			4	1		3	91
Mar 2013	37	8	0	7	10	1	9	3			5	3		1	84
Feb 2013	42	7	0	2	6	3	11	4			2	0		3	80
Jan 2013	45	6	2	6	7	1	3	6			4	5		5	90
Dec 2012	36	4	0	4	13	1	10	3			2	2		3	78
Nov 2012	29	6	1	2	14	2	15	5			1	3		0	78
Oct 2012	34	6	0	4	18	3	10	8			3	5		3	94
Sep 2012	37	2	1	2	11	2	11	6			0	4		3	79
Aug 2012	30	3	0	4	5	2	10	8			2	1		2	67
Jul 2012	32	4	0	3	14	1	14	2			3	0		3	76
Jun 2012	27	6	0	2	6	2	12	7			3	3		3	71
May 2012	38	3	1	5	7	2	11	7			3	4		1	82
Apr 2012	31	2	0	2	9	5	5	10			3	4		0	71
Mar 2012	42	5	0	2	9	3	19	8			1	0		2	91
Feb 2012	31	1	0	2	4	8	6	7			1	3		1	64
Jan 2012	39	7	0	3	16	4	11	6			1	3		0	90
Dec 2011	35	6	0	4	13	5	9	4			2	1		0	79
Nov 2011	38	2	0	4	7	11	13	6			1	2		4	88
Oct 2011	26	7	0	3	4	2	6	5			2	1		1	57
Sep 2011	34	9	1	5	13	1	10	1			2	2		1	79
Aug 2011	53	2	0	4	13	27									99
Jul 2011	56	1	1	4	9	28									99
Jun 2011	48	3	0	9	12	20									92
May 2011	52	6	0	5	8	42									113
Apr 2011	43	3	0	4	4	26									80
Mar 2011	67	8	0	4	11	26									116
Feb 2011	36	7	0	2	6	32									83
Jan 2011	50	7	1	2	9	26									95
Dec 2010	39	6	0	6	16	17									84

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 WN2 3

Crime Type and ASB Charts for WN2 3

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".