CV4 9 Postcode Sector

CV4 9, Coventry

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Found within Postcode District CV4, which covers Berkswell, Earlsdon Ward, Westwood Ward, Woodlands Ward

Residential Population: 16,226

Population Density: 33.11 Persons per Hectare

Land Area: 490.07 Hectares

Daytime Population: 16,188

Population Density: 33.03 Persons per Hectare

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Crime in CV4 9, Coventry

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Nov 2022	12	9	2	24	105	14	16	12	4	1	0	1	14	5	219
Oct 2022	17	5	4	22	105	15	21	9	3	1	0	2	12	3	219
Sep 2022	12	5	3	16	92	16	12	10	3	1	0	8	18	7	203
Aug 2022	23	9	1	29	92	7	21	18	4	2	1	2	24	6	239
Jul 2022	14	15	3	16	103	6	15	16	3	1	1	4	19	4	220
Jun 2022	0	0	0	0	4	0	0	0	0	0	0	0	0	0	4
May 2022	19	8	1	25	97	5	29	16	2	2	1	5	21	5	236
Apr 2022	11	16	1	20	78	4	13	11	0	0	0	6	12	1	173
Mar 2022	16	7	2	15	84	5	12	7	2	0	0	1	16	1	168
Feb 2022	14	14	1	10	78	10	15	8	4	0	3	1	22	2	182
Jan 2022	7	10	4	20	88	2	14	11	0	0	2	4	13	0	175
Dec 2021	18	2	6	8	65	5	17	10	3	0	0	1	4	1	140
Nov 2021	15	9	3	10	105	4	21	8	3	1	0	5	25	2	211
Oct 2021	13	9	2	12	119	9	21	6	2	3	1	3	29	2	231
Sep 2021	7	9	0	7	75	1	15	5	1	0	1	3	16	4	144
Aug 2021	14	5	2	14	99	3	18	12	2	2	0	4	13	8	196
Jul 2021	20	3	1	17	106	12	7	2	3	0	1	0	7	7	186
Jun 2021	25	9	1	14	82	6	25	12	7	0	1	1	12	7	202
May 2021	16	1	2	8	79	6	29	5	0	0	1	2	12	5	166
Apr 2021	25	3	2	12	79	8	22	4	1	0	0	0	11	4	171
Mar 2021	26	2	2	10	94	5	20	7	2	0	0	5	21	8	202
Feb 2021	34	9	1	10	69	7	13	3	0	0	0	0	15	5	166
Jan 2021	33	4	3	8	64	2	11	5	1	0	0	1	12	6	150
Dec 2020	35	7	4	16	115	4	10	9	1	0	1	2	11	11	226
Nov 2020	41	3	3	16	104	5	13	6	0	0	1	1	17	4	214
Oct 2020	23	2	4	23	54	4	17	2	1	1	0	2	12	0	145
Sep 2020	23	7	1	22	66	3	30	8	4	3	0	6	13	8	194
Aug 2020	28	6	1	8	74	7	24	5	1	1	0	3	17	2	177
Jul 2020	37	7	0	12	74	2	31	7	0	0	0	2	13	6	191
Jun 2020	41	6	0	15	78	1	24	4	1	1	0	0	13	4	188
May 2020	40	3	2	10	65	6	17	3	4	2	0	2	11	4	169
Apr 2020	53	2	1	8	43	5	13	4	0	1	0	2	14	3	149
Mar 2020	8	11	1	13	55	2	28	1	1	1	0	1	8	2	132
Feb 2020	11	10	1	11	49	9	1	7	0	2	2	2	9	2	116
Jan 2020	19	9	1	16	56	4	15	3	1	0	0	0	9	2	135
Dec 2019	19	8	3	7	69	1	18	3	0	0	0	1	6	1	136
Nov 2019	9	2	2	14	57	6	17	7	0	3	0	2	2	2	123
Oct 2019	19	11	2	7	53	9	15	7	1	6	0	0	5	1	136
Sep 2019	18	10	4	13	42	12	25	4	1	1	0	4	8	2	144
Aug 2019	21	9	4	8	45	12	19	6	2	3	0	0	6	6	141
Jul 2019	25	9	0	10	55	3	19	9	4	3	0	1	1	1	140
Jun 2019	30	13	2	10	52	8	23	4	1	1	0	1	4	2	151
May 2019	16	8	0	9	49	5	18	5	3	1	3	3	8	1	129
Apr 2019	14	6	1	3	53	2	17	5	0	5	0	1	11	3	121
Mar 2019	28	6	2	7	45	1	21	4	1	3	0	0	15	3	136
Feb 2019	16	4	3	15	44	10	18	10	0	0	0	0	6	2	128
Jan 2019	26	6	1	10	45	10	13	6	3	0	0	2	2	0	124
Dec 2018	15	5	1	10	26	13	13	8	1	1	0	0	8	2	103
Nov 2018	20	11	2	7	46	4	12	13	0	4	0	1	8	1	129
Oct 2018	25	7	2	11	45	3	16	7	2	5	0	0	9	4	136
Sep 2018	14	13	5	12	40	7	7	11	1	0	0	2	7	0	119
Aug 2018	29	9	2	15	43	10	22	4	1	0	0	1	4	3	143
Jul 2018	30	6	1	10	51	5	14	3	1	0	0	2	6	2	131
Jun 2018	30	7	1	5	44	8	25	8	2	1	1	1	5	1	139
May 2018	36	5	1	9	27	13	21	4	2	0	0	1	5	1	125
Apr 2018	23	7	2	7	23	5	12	3	4	0	0	0	2	0	88
Mar 2018	15	5	2	9	25	23	12	8	1	0	0	2	8	2	112
Feb 2018	7	9	2	12	30	5	15	6	0	0	0	1	2	0	89
Jan 2018	25	12	3	15	38	20	19	2	5	0	0	1	8	0	148
Dec 2017	22	10	1	14	32	15	12	5	1	2	0	1	4	0	119
Nov 2017	36	11	6	18	24	13	20	10	0	0	0	0	6	0	144
Oct 2017	41	6	2	9	30	7	18	9	1	2	0	1	8	4	138
Sep 2017	23	5	1	14	36	5	19	4	3	0	0	0	3	0	113
Aug 2017	34	14	3	18	29	11	17	8	1	4	0	0	2	0	141
Jul 2017	29	13	1	15	39	20	24	3	4	2	1	0	6	1	158
Jun 2017	32	11	3	12	34	24	20	5	0	2	0	1	7	2	153
May 2017	40	6	1	14	41	5	17	5	0	3	0	1	5	2	140
Apr 2017	34	6	0	3	22	8	16	3	1	2	1	0	7	2	105
Mar 2017	41	13	6	8	26	13	22	4	1	0	1	1	4	0	140
Feb 2017	44	13	4	18	32	14	16	8	0	2	2	2	3	2	160
Jan 2017	33	9	2	17	25	12	19	2	2	0	0	2	2	2	127
Dec 2016	44	9	1	7	21	9	23	7	0	2	0	0	5	2	130
Nov 2016	27	8	0	15	28	10	13	10	0	1	0	1	2	1	116
Oct 2016	63	14	2	13	31	25	20	5	0	1	0	1	3	1	179
Sep 2016	29	12	3	12	34	5	16	2	1	0	1	2	2	2	121
Aug 2016	22	9	0	6	18	2	16	6	1	0	1	1	3	0	85
Jul 2016	45	12	2	14	15	4	15	6	0	1	1	0	7	0	122
Jun 2016	35	11	0	8	23	5	15	8	2	0	0	0	2	2	111
May 2016	32	12	2	12	25	3	12	4	1	1	1	0	1	0	106
Apr 2016	23	15	5	14	25	5	9	2	0	2	0	0	4	1	105
Mar 2016	26	19	2	12	20	3	20	4	3	0	2	1	2	4	118
Feb 2016	27	14	4	4	27	4	16	2	3	2	0	1	2	1	107
Jan 2016	14	16	1	11	36	2	11	4	3	1	0	0	2	0	101
Dec 2015	19	15	2	2	25	3	13	7	0	1	0	0	5	3	95
Nov 2015	19	11	2	13	19	0	14	6	0	0	0	0	1	1	86
Oct 2015	31	10	0	12	35	6	17	7	2	0	1	1	3	2	127
Sep 2015	14	9	0	12	17	5	7	9	0	4	0	0	3	0	80
Aug 2015	30	9	1	13	18	5	18	5	4	0	0	1	4	1	109
Jul 2015	33	10	1	17	27	5	13	8	3	2	0	3	5	1	128
Jun 2015	29	9	1	11	15	1	12	6	1	1	0	1	7	2	96
May 2015	33	10	0	34	32	7	11	7	1	2	0	0	2	0	139
Apr 2015	30	7	3	13	18	2	15	5	4	2	0	0	2	1	102
Mar 2015	34	16	0	8	16	7	14	12	4	2	0	0	2	2	117
Feb 2015	24	7	2	26	25	5	23	5	3	2	0	0	3	1	126
Jan 2015	19	8	3	16	22	9	19	4	4	2	0	2	2	0	110
Dec 2014	23	13	3	22	26	6	24	7	2	0	0	1	3	3	133
Nov 2014	24	17	2	4	21	1	18	4	3	2	0	0	6	0	102
Oct 2014	31	9	3	11	17	2	10	11	3	1	1	0	6	0	105
Sep 2014	49	9	2	6	24	8	60	5	3	0	0	1	5	2	174
Aug 2014	31	19	1	7	20	2	40	7	5	1	2	0	8	0	143
Jul 2014	49	13	0	4	28	3	10	12	4	4	0	1	4	5	137
Jun 2014	33	9	1	11	34	6	14	13	2	1	1	2	1	0	128
May 2014	36	12	1	9	17	4	9	5	3	1	0	0	2	1	100
Apr 2014	23	16	4	15	13	7	10	7	2	2	0	1	1	1	102
Mar 2014	30	13	3	21	23	9	20	5	2	2	1	0	1	0	130
Feb 2014	20	11	0	13	19	15	16	6	1	2	1	0	3	0	107
Jan 2014	24	23	3	8	17	13	20	6	2	2	4	1	2	0	125
Dec 2013	25	9	3	9	12	7	15	3	2	1	0	0	2	3	91
Nov 2013	25	10	0	9	7	5	14	11	6	1	1	0	3	2	94
Oct 2013	43	6	1	17	17	4	3	6	3	0	0	0	3	1	104
Sep 2013	33	12	2	4	18	10	14	7	2	3	0	0	1	2	108
Aug 2013	52	6	2	9	23	9	14	7	1	2	1	1	3	1	131
Jul 2013	50	5	1	8	26	10	9	5	1	2	0	0	5	2	124
Jun 2013	34	13	2	10	26	6	15	4	2	1	0	0	2	0	115
May 2013	30	10	1	5	25	10	10	6	3	2	0	0	2	1	105
Apr 2013	33	13	5	10	16	0	12	11			0	2		1	103
Mar 2013	21	5	1	4	27	1	10	10			2	3		0	84
Feb 2013	22	5	1	10	19	5	9	8			1	2		1	83
Jan 2013	58	11	0	7	24	11	11	5			4	3		2	136
Dec 2012	38	10	2	6	18	6	11	8			0	3		3	105
Nov 2012	30	12	0	7	12	8	10	9			4	4		3	99
Oct 2012	63	6	3	8	13	8	11	11			2	0		1	126
Sep 2012	44	9	3	3	18	3	13	7			2	1		2	105
Aug 2012	51	4	0	4	19	2	14	7			1	2		1	105
Jul 2012	50	23	3	4	18	5	21	10			2	0		3	139
Jun 2012	39	20	0	7	21	7	13	8			0	3		3	121
May 2012	42	24	2	2	21	8	15	13			2	5		1	135
Apr 2012	47	13	1	2	15	14	11	10			1	1		6	121
Mar 2012	59	22	5	4	10	2	15	11			0	0		2	130
Feb 2012	64	18	2	8	18	11	21	2			0	6		5	155
Jan 2012	65	13	0	4	11	9	15	10			1	1		2	131
Dec 2011	60	16	1	6	18	4	24	15			5	0		3	152
Nov 2011	50	20	4	8	17	7	18	12			4	4		10	154
Oct 2011	67	8	3	9	12	10	29	9			2	3		5	157
Sep 2011	93	14	1	15	15	18	17	13			2	3		5	196
Aug 2011	117	11	1	5	12	62									208
Jul 2011	106	11	1	14	27	53									212
Jun 2011	105	21	4	13	14	48									205
May 2011	111	13	1	12	27	57									221
Apr 2011	118	14	4	4	13	64									217
Mar 2011	88	10	2	9	17	60									186
Feb 2011	58	15	3	5	12	50									143
Jan 2011	81	9	4	8	16	54									172
Dec 2010	63	11	2	9	9	34									128

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 CV4 9

©Copyright UKCrimeStats.com

©Copyright UKCrimeStats.com

Crime Type and ASB Charts for CV4 9

©Copyright UKCrimeStats.com

©Copyright UKCrimeStats.com

©Copyright UKCrimeStats.com

©Copyright UKCrimeStats.com

©Copyright UKCrimeStats.com

©Copyright UKCrimeStats.com

©Copyright UKCrimeStats.com

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.

©Copyright UKCrimeStats.com

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".