M1 5 Postcode Sector

M1 5, Manchester

Found within Postcode District M1, which covers Ancoats and Clayton Ward, City Centre Ward

Residential Population: 3,466

Population Density: 139.87 Persons per Hectare

Land Area: 24.78 Hectares

Daytime Population: 11,488

Population Density: 463.60 Persons per Hectare

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Crime in M1 5, Manchester

	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	1	0	0	0	0	0	0	0	0	0	1
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	0	0	0	0	0	0	0	0	0	0	0
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	0	0	0	0	0	0	0	0	0	0	0
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	1	0	0	0	1
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	25	2	1	17	26	2	2	20	5	3	9	1	11	0	124
May 2019	35	8	2	13	29	2	2	13	2	3	8	2	16	0	135
Apr 2019	26	6	10	18	29	3	4	27	3	1	20	1	7	0	155
Mar 2019	43	3	8	14	42	1	5	26	1	2	24	0	17	0	186
Feb 2019	27	14	6	10	30	3	3	15	1	0	26	1	12	0	148
Jan 2019	40	8	11	15	29	9	7	25	1	0	22	2	14	0	183
Dec 2018	27	2	5	20	34	2	7	25	0	1	29	1	14	0	167
Nov 2018	39	3	6	20	29	2	7	23	3	3	31	0	13	0	179
Oct 2018	18	6	12	29	29	3	4	16	1	6	31	0	6	0	161
Sep 2018	27	6	7	15	43	1	7	24	3	4	19	2	7	1	166
Aug 2018	14	9	3	15	25	3	11	13	0	3	13	0	10	0	119
Jul 2018	14	9	6	17	24	0	1	19	1	4	15	1	13	2	126
Jun 2018	16	4	3	14	34	4	10	14	3	7	9	0	17	1	136
May 2018	23	10	3	15	31	2	5	11	2	2	11	0	21	0	136
Apr 2018	21	10	6	16	35	1	6	16	0	3	25	1	20	0	160
Mar 2018	23	4	9	16	28	2	4	33	2	4	20	2	10	3	160
Feb 2018	28	11	4	8	48	5	8	21	0	2	23	1	16	1	176
Jan 2018	22	6	7	17	28	1	6	18	1	4	29	0	14	0	153
Dec 2017	24	3	3	18	46	3	5	19	1	2	16	0	14	0	154
Nov 2017	21	8	6	15	43	5	5	16	2	5	31	1	20	1	179
Oct 2017	19	4	4	26	40	2	9	15	2	1	23	0	17	1	163
Sep 2017	28	8	5	11	29	1	3	14	1	5	10	0	18	0	133
Aug 2017	21	20	3	18	33	3	9	12	0	3	9	1	8	2	142
Jul 2017	16	6	7	11	25	3	4	16	1	4	9	0	12	0	114
Jun 2017	27	1	4	9	22	0	4	11	2	2	5	0	15	0	102
May 2017	34	3	3	8	29	2	6	17	1	13	15	0	9	1	141
Apr 2017	31	1	7	17	30	0	8	11	5	5	13	1	5	0	134
Mar 2017	29	5	5	19	29	0	4	11	4	6	29	1	4	1	147
Feb 2017	22	2	0	9	19	0	5	12	1	5	10	1	8	0	94
Jan 2017	23	3	1	7	20	3	6	11	1	4	10	0	7	0	96
Dec 2016	21	4	0	4	32	2	3	13	1	5	11	0	14	0	110
Nov 2016	25	5	1	6	16	0	5	11	0	5	18	0	7	0	99
Oct 2016	28	2	6	8	27	4	5	14	2	9	18	0	3	0	126
Sep 2016	36	9	3	5	22	0	2	17	4	1	17	1	5	0	122
Aug 2016	17	7	3	4	13	1	3	11	1	1	9	1	2	0	73
Jul 2016	33	12	4	8	10	0	1	10	1	4	10	1	4	0	98
Jun 2016	20	7	1	3	13	0	5	8	3	8	5	0	4	0	77
May 2016	47	1	4	6	25	3	4	17	1	2	18	0	2	2	132
Apr 2016	37	5	3	10	26	4	5	16	1	2	20	0	1	1	131
Mar 2016	40	6	1	9	26	4	5	15	2	2	13	0	7	0	130
Feb 2016	21	8	3	12	20	2	9	19	8	1	23	0	2	0	128
Jan 2016	32	1	3	3	27	1	4	17	3	1	27	1	4	1	125
Dec 2015	33	4	2	6	20	1	6	14	1	1	17	0	2	0	107
Nov 2015	44	3	8	9	14	6	3	16	1	2	26	0	1	1	134
Oct 2015	46	3	6	5	20	1	4	11	2	1	31	0	1	0	131
Sep 2015	51	2	2	5	27	0	9	19	4	1	25	1	5	0	151
Aug 2015	52	7	8	3	23	1	4	15	2	3	17	0	1	1	137
Jul 2015	24	5	0	8	12	1	4	13	3	3	11	0	4	1	89
Jun 2015	23	5	1	8	18	1	5	11	4	7	12	1	1	1	98
May 2015	25	4	1	14	19	0	8	14	5	0	20	0	0	0	110
Apr 2015	27	2	2	9	22	1	3	11	1	1	14	0	3	0	96
Mar 2015	43	3	1	5	16	2	7	24	2	2	23	0	1	0	129
Feb 2015	36	2	2	2	22	2	2	22	17	2	29	0	6	0	144
Jan 2015	29	2	4	9	16	0	2	12	1	2	13	0	0	0	90
Dec 2014	23	0	1	4	13	3	1	18	1	2	15	0	3	0	84
Nov 2014	29	2	6	4	15	1	0	17	0	4	20	0	5	0	103
Oct 2014	36	2	1	2	10	1	3	5	2	5	27	0	2	0	96
Sep 2014	31	2	2	0	11	2	1	8	2	2	25	0	6	0	92
Aug 2014	43	4	4	3	30	2	2	10	1	2	8	0	3	0	112
Jul 2014	35	5	3	4	16	0	8	18	1	2	10	0	0	0	102
Jun 2014	20	3	2	1	2	0	1	12	1	1	5	0	4	0	52
May 2014	27	3	1	4	13	2	6	9	1	3	14	0	2	0	85
Apr 2014	24	3	4	1	12	2	2	12	4	1	10	0	2	0	77
Mar 2014	34	5	2	1	16	2	5	17	4	0	12	0	3	0	101
Feb 2014	29	2	1	3	12	1	1	18	1	2	16	0	1	0	87
Jan 2014	35	1	1	0	12	0	2	11	4	3	20	0	0	0	89
Dec 2013	37	4	0	3	15	0	10	24	0	1	19	3	2	0	118
Nov 2013	16	9	1	2	10	1	5	19	4	5	10	1	4	0	87
Oct 2013	29	2	1	2	10	1	3	12	2	3	20	0	1	1	87
Sep 2013	26	1	0	3	9	0	0	23	4	3	13	0	2	0	84
Aug 2013	39	2	1	0	7	0	1	14	1	7	22	0	2	0	96
Jul 2013	28	3	3	3	10	2	3	19	2	2	11	0	2	0	88
Jun 2013	37	8	2	2	4	1	1	19	3	4	23	0	1	0	105
May 2013	40	1	0	2	9	0	4	15	4	2	10	0	2	1	90
Apr 2013	23	2	1	1	6	1	3	45			3	2		2	89
Mar 2013	27	0	1	1	13	0	2	74			2	5		3	128
Feb 2013	15	8	0	4	3	0	5	39			4	3		3	84
Jan 2013	36	11	2	0	8	0	1	46			1	2		0	107
Dec 2012	27	8	3	0	12	0	0	29			0	7		2	88
Nov 2012	30	10	5	2	11	1	1	42			1	6		0	109
Oct 2012	37	7	3	8	8	1	4	33			2	2		1	106
Sep 2012	44	7	2	0	15	0	0	29			5	7		0	109
Aug 2012	45	8	1	2	12	0	4	25			2	3		2	104
Jul 2012	28	7	1	9	5	2	1	19			3	4		0	79
Jun 2012	28	3	2	0	5	0	4	30			0	3		1	76
May 2012	31	7	2	8	5	0	2	28			4	3		1	91
Apr 2012	27	2	1	1	10	1	4	24			1	4		1	76
Mar 2012	32	3	1	9	8	0	5	33			0	4		0	95
Feb 2012	34	1	1	3	7	0	4	31			2	4		3	90
Jan 2012	22	4	1	1	17	0	6	36			3	3		0	93
Dec 2011	13	4	6	1	14	0	3	23			6	4		1	75
Nov 2011	40	6	6	1	6	1	1	42			4	3		1	111
Oct 2011	40	5	3	9	17	0	0	46			1	4		2	127
Sep 2011	20	5	4	8	9	1	8	26			1	6		0	88
Aug 2011	30	5	3	2	11	33									84
Jul 2011	34	4	1	7	14	43									103
Jun 2011	51	6	2	4	6	35									104
May 2011	48	5	6	2	18	41									120
Apr 2011	40	9	1	3	13	27									93
Mar 2011	49	9	2	3	7	42									112
Feb 2011	47	0	1	2	10	50									110
Jan 2011	34	9	1	0	14	46									104
Dec 2010	36	4	1	3	12	40									96

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 M1 5

Crime Type and ASB Charts for M1 5

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".