M1 3 Postcode Sector

M1 3, Manchester

Found within Postcode District M1, which covers City Centre Ward

Residential Population: 1,303

Population Density: 98.12 Persons per Hectare

Land Area: 13.28 Hectares

Daytime Population: 5,643

Population Density: 424.92 Persons per Hectare

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Crime in M1 3, 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	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	1	0	0	0	0	0	0	0	0	0	1
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	1	0	0	0	0	0	0	0	0	1	2
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	1	0	0	0	0	0	0	0	0	0	1
Jul 2020	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Jun 2020	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1
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	29	4	7	10	37	2	4	25	1	3	28	2	9	1	162
May 2019	43	2	6	2	40	1	7	42	5	1	33	1	17	1	201
Apr 2019	44	4	9	11	50	0	6	34	5	1	36	1	23	0	224
Mar 2019	60	4	6	8	59	0	6	24	8	1	44	2	22	0	244
Feb 2019	51	10	9	9	46	1	8	35	1	1	27	1	20	1	220
Jan 2019	49	4	8	17	60	4	10	17	4	3	32	2	17	0	227
Dec 2018	41	5	11	8	64	1	8	39	4	1	40	1	13	0	236
Nov 2018	57	9	16	14	59	0	10	28	4	2	31	1	23	0	254
Oct 2018	44	7	10	16	53	1	7	25	5	7	36	4	26	1	242
Sep 2018	36	8	9	14	71	1	5	23	1	6	32	0	26	1	233
Aug 2018	42	4	21	10	72	1	9	45	10	10	86	3	22	1	336
Jul 2018	31	5	16	16	49	1	6	29	3	4	44	2	23	0	229
Jun 2018	48	5	15	10	55	0	10	37	1	1	42	2	37	0	263
May 2018	58	12	13	20	65	4	10	28	5	4	50	2	35	4	310
Apr 2018	43	2	15	27	65	3	15	25	1	7	52	1	33	1	290
Mar 2018	53	8	13	18	60	4	13	35	3	2	50	1	33	0	293
Feb 2018	51	3	4	10	55	2	6	33	1	1	28	2	43	1	240
Jan 2018	49	4	7	6	57	2	9	20	0	1	29	2	36	0	222
Dec 2017	39	2	7	5	65	3	5	33	2	1	21	1	27	0	211
Nov 2017	51	13	6	12	57	3	6	25	2	5	36	2	23	2	243
Oct 2017	46	5	11	11	63	4	7	29	3	3	50	0	29	1	262
Sep 2017	39	10	10	28	64	1	8	25	4	6	31	1	34	0	261
Aug 2017	35	8	16	12	64	2	12	38	6	5	44	2	35	1	280
Jul 2017	44	3	11	8	72	2	5	35	4	8	37	4	45	1	279
Jun 2017	62	4	8	11	55	1	8	24	4	2	25	1	29	0	234
May 2017	60	1	10	11	53	0	8	24	2	7	30	0	31	1	238
Apr 2017	67	3	5	6	64	1	7	19	2	3	27	0	27	1	232
Mar 2017	53	16	7	7	65	2	11	29	3	4	29	1	30	0	257
Feb 2017	85	5	3	8	51	7	12	31	1	1	26	0	22	1	253
Jan 2017	86	7	12	5	46	2	7	29	1	3	26	0	11	1	236
Dec 2016	67	4	7	12	46	3	16	33	3	3	39	1	26	0	260
Nov 2016	56	5	7	8	42	2	6	21	4	6	36	0	11	0	204
Oct 2016	74	6	9	14	52	5	14	27	2	8	19	1	17	0	248
Sep 2016	82	13	5	10	46	3	7	26	3	7	30	0	14	1	247
Aug 2016	81	4	9	7	40	3	7	26	6	1	37	0	5	0	226
Jul 2016	57	4	10	6	31	1	3	32	1	7	31	1	4	2	190
Jun 2016	78	4	6	7	34	4	10	26	1	3	21	0	7	0	201
May 2016	94	6	5	1	40	6	9	28	0	4	18	0	3	0	214
Apr 2016	68	5	2	4	34	5	6	26	0	1	22	0	3	0	176
Mar 2016	75	5	8	2	28	11	5	25	2	0	32	0	9	0	202
Feb 2016	55	5	4	4	33	4	8	27	3	6	24	0	5	0	178
Jan 2016	60	2	7	2	43	1	7	25	3	3	35	0	3	0	191
Dec 2015	53	1	6	3	31	0	11	26	3	2	25	1	7	0	169
Nov 2015	67	5	3	6	47	1	9	33	3	2	35	0	5	1	217
Oct 2015	58	5	1	6	37	1	8	28	2	2	26	0	5	2	181
Sep 2015	57	7	4	2	36	0	3	20	3	5	32	1	3	0	173
Aug 2015	94	11	7	7	50	4	4	21	8	0	37	1	5	1	250
Jul 2015	76	9	1	4	29	3	5	33	3	2	21	3	3	1	193
Jun 2015	62	6	3	7	33	3	9	26	3	3	20	0	11	0	186
May 2015	54	5	4	2	44	2	4	27	1	3	19	0	5	0	170
Apr 2015	67	5	2	6	33	4	8	36	1	3	20	1	6	0	192
Mar 2015	46	7	4	9	33	2	8	28	4	3	24	0	6	0	174
Feb 2015	60	7	2	3	29	1	6	25	7	2	21	0	2	1	166
Jan 2015	62	9	2	3	25	1	2	22	6	0	23	0	5	2	162
Dec 2014	55	14	4	10	36	1	8	28	1	2	19	0	5	0	183
Nov 2014	68	2	3	4	48	0	6	23	3	3	25	0	6	1	192
Oct 2014	69	6	6	5	26	3	5	22	2	1	25	2	3	2	177
Sep 2014	60	5	6	2	26	3	2	28	2	5	32	0	7	0	178
Aug 2014	83	12	7	2	25	3	7	30	8	4	48	0	7	2	238
Jul 2014	58	2	3	4	35	2	5	33	2	1	18	1	5	0	169
Jun 2014	60	3	1	1	20	1	8	26	1	1	13	0	4	1	140
May 2014	56	2	5	3	21	2	6	29	3	1	18	0	5	0	151
Apr 2014	47	2	1	2	19	1	6	28	3	3	16	0	5	0	133
Mar 2014	61	8	0	2	19	2	8	24	7	5	18	0	8	0	162
Feb 2014	51	6	4	4	21	1	6	20	4	4	23	0	6	0	150
Jan 2014	68	9	3	3	12	2	4	23	3	5	20	0	3	0	155
Dec 2013	66	2	5	2	36	1	5	31	3	3	23	0	6	0	183
Nov 2013	53	4	2	7	29	1	5	19	6	6	14	1	4	1	152
Oct 2013	48	8	2	2	21	4	2	39	5	3	20	0	3	1	158
Sep 2013	32	5	2	2	18	2	4	31	1	2	15	0	6	2	122
Aug 2013	75	3	2	4	22	5	6	31	11	3	23	1	8	0	194
Jul 2013	52	3	5	3	16	5	5	30	3	1	24	0	3	2	152
Jun 2013	44	2	1	2	27	5	4	22	7	4	24	0	5	2	149
May 2013	42	1	8	2	21	3	9	24	3	9	21	0	5	1	149
Apr 2013	48	3	3	4	15	2	3	73			6	2		1	160
Mar 2013	67	2	4	2	23	2	3	52			6	5		2	168
Feb 2013	53	3	5	4	18	2	6	57			9	2		2	161
Jan 2013	49	8	4	8	14	1	7	52			5	5		3	156
Dec 2012	62	1	8	4	21	0	4	40			3	4		2	149
Nov 2012	50	3	6	3	24	1	4	58			2	11		2	164
Oct 2012	61	3	1	8	22	0	5	56			6	14		2	178
Sep 2012	57	3	3	10	22	0	6	38			7	8		0	154
Aug 2012	60	1	7	6	30	0	1	57			7	8		2	179
Jul 2012	50	5	4	12	25	0	3	56			12	6		1	174
Jun 2012	42	2	0	12	12	0	8	57			9	14		0	156
May 2012	53	2	5	20	19	1	6	48			3	8		0	165
Apr 2012	47	3	5	3	31	0	2	31			10	14		3	149
Mar 2012	49	9	4	10	32	0	8	59			8	12		3	194
Feb 2012	37	3	3	3	25	1	7	64			6	3		3	155
Jan 2012	35	0	4	5	18	0	2	63			3	6		2	138
Dec 2011	48	2	1	2	30	1	4	51			8	8		6	161
Nov 2011	52	8	7	12	42	2	10	75			5	10		5	228
Oct 2011	64	7	2	17	33	5	10	86			12	16		4	256
Sep 2011	54	7	3	22	17	4	11	93			6	10		2	229
Aug 2011	94	21	7	11	45	129									307
Jul 2011	91	10	5	3	40	93									242
Jun 2011	52	11	4	6	30	83									186
May 2011	85	10	9	17	31	111									263
Apr 2011	58	8	13	1	26	107									213
Mar 2011	70	7	9	17	29	134									266
Feb 2011	69	8	5	7	40	114									243
Jan 2011	80	8	10	6	38	146									288
Dec 2010	64	3	11	12	41	103									234

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 3

Crime Type and ASB Charts for M1 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".