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CT9 5, Kent

Found within Postcode District CT9, which covers Cliftonville West Ward, Garlinge Ward, Margate Central Ward, Salmestone Ward, Westbrook Ward

Residential Population: 10,760

Population Density: 27.57 Persons per Hectare

Land Area: 390.29 Hectares

Daytime Population: 8,411

Population Density: 21.55 Persons per Hectare

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Crime in CT9 5, Kent

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Feb 2024	7	3	0	3	58	3	9	5	2	0	0	1	1	0	92
Jan 2024	6	2	1	2	34	6	6	9	2	0	1	0	1	2	72
Dec 2023	6	2	0	4	33	15	7	3	2	1	0	1	1	2	77
Nov 2023	4	3	0	2	45	10	4	2	8	1	0	1	4	3	87
Oct 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Sep 2023	11	1	0	7	54	12	9	3	5	1	0	0	6	1	110
Aug 2023	18	5	1	1	46	10	8	4	6	1	0	1	10	3	114
Jul 2023	15	1	2	11	57	21	7	7	4	1	0	2	4	1	133
Jun 2023	12	2	1	2	47	12	3	4	3	0	0	2	2	4	94
May 2023	17	0	0	8	55	7	10	5	2	1	0	0	5	3	113
Apr 2023	12	2	0	4	38	9	11	3	1	2	0	0	2	1	85
Mar 2023	7	2	0	2	58	13	9	3	4	0	1	1	2	6	108
Feb 2023	8	2	1	2	33	14	5	7	2	0	0	0	1	2	77
Jan 2023	7	4	0	6	47	27	8	3	2	2	1	1	3	1	112
Dec 2022	9	1	0	7	36	16	9	7	4	0	0	1	6	1	97
Nov 2022	7	0	2	3	45	9	12	4	3	0	0	1	4	1	91
Oct 2022	11	6	2	6	56	19	11	2	3	1	0	3	7	1	128
Sep 2022	12	3	1	6	53	11	11	5	2	0	0	1	10	1	116
Aug 2022	17	7	3	5	58	13	9	5	4	0	1	0	4	2	128
Jul 2022	23	1	0	6	60	9	13	8	3	0	0	0	2	2	127
Jun 2022	11	1	0	7	62	12	7	9	4	1	0	1	11	5	131
May 2022	27	3	0	2	44	10	11	3	3	0	0	0	5	1	109
Apr 2022	13	2	0	3	44	11	11	6	2	1	1	0	11	1	106
Mar 2022	11	2	1	6	35	9	6	6	4	0	0	0	6	4	90
Feb 2022	11	4	0	1	60	9	10	4	2	1	1	1	8	4	116
Jan 2022	8	7	0	5	59	5	9	3	3	1	0	1	3	4	108
Dec 2021	5	3	1	5	26	11	20	7	1	0	0	0	2	1	82
Nov 2021	9	2	1	10	37	18	5	6	0	0	1	0	5	1	95
Oct 2021	7	2	1	3	47	13	1	6	3	0	0	2	15	4	104
Sep 2021	18	1	0	4	45	11	7	6	1	0	0	0	9	3	105
Aug 2021	15	5	0	2	53	4	9	2	1	0	0	2	10	8	111
Jul 2021	25	4	0	3	78	6	10	10	1	2	0	1	9	5	154
Jun 2021	16	3	0	2	45	3	4	3	3	0	1	1	6	2	89
May 2021	20	3	1	5	49	4	12	8	4	1	0	0	7	4	118
Apr 2021	24	2	2	6	57	1	8	9	3	0	1	0	7	7	127
Mar 2021	33	3	0	4	43	0	11	7	3	1	0	0	2	1	108
Feb 2021	27	2	1	7	46	2	5	1	1	0	0	0	3	1	96
Jan 2021	32	4	0	11	40	5	6	7	4	4	0	1	7	0	121
Dec 2020	40	4	0	3	62	1	13	8	3	0	1	0	9	4	148
Nov 2020	16	2	1	8	41	3	8	3	4	3	0	0	4	2	95
Oct 2020	15	3	0	13	52	1	14	6	3	1	1	0	7	2	118
Sep 2020	21	4	7	6	63	1	10	5	2	0	1	1	3	2	126
Aug 2020	23	3	0	3	49	1	14	6	5	0	1	0	8	4	117
Jul 2020	30	2	0	3	51	4	3	3	4	4	1	0	7	2	114
Jun 2020	38	5	1	9	59	10	7	7	2	0	1	2	6	4	151
May 2020	50	0	0	2	47	8	11	8	5	2	1	1	5	1	141
Apr 2020	44	3	0	12	56	5	8	6	2	1	0	0	5	4	146
Mar 2020	14	3	2	8	33	1	6	3	2	0	0	0	3	6	81
Feb 2020	18	3	2	18	33	0	10	7	3	2	1	1	3	7	108
Jan 2020	10	4	0	12	40	6	13	5	3	0	0	0	4	4	101
Dec 2019	13	2	1	10	46	2	8	8	3	1	0	1	4	1	100
Nov 2019	8	4	0	3	49	7	11	5	3	3	0	1	8	3	105
Oct 2019	17	7	3	6	47	19	20	6	3	1	1	1	2	2	135
Sep 2019	16	6	0	20	52	3	19	4	1	2	0	0	14	2	139
Aug 2019	22	5	1	6	51	0	13	3	0	0	2	0	8	1	112
Jul 2019	27	6	2	11	45	3	16	5	0	0	0	2	9	5	131
Jun 2019	19	5	3	14	44	2	6	7	7	0	0	1	10	5	123
May 2019	16	2	1	3	12	1	3	2	5	0	0	0	2	0	47
Apr 2019	15	5	3	9	43	2	8	7	2	0	0	0	8	2	104
Mar 2019	15	9	1	9	53	1	15	2	1	0	0	0	5	1	112
Feb 2019	7	7	2	3	40	3	4	5	2	2	0	1	4	2	82
Jan 2019	9	3	2	6	41	1	4	5	5	0	1	0	11	4	92
Dec 2018	12	0	1	4	13	0	5	2	0	1	0	0	0	1	39
Nov 2018	6	5	0	8	42	1	8	10	1	0	1	0	5	1	88
Oct 2018	16	9	1	14	64	2	21	14	2	1	1	0	5	3	153
Sep 2018	14	6	0	7	53	6	15	9	5	0	0	0	9	0	124
Aug 2018	18	3	1	7	74	1	15	9	0	2	0	0	15	2	147
Jul 2018	15	6	1	6	64	7	12	14	4	3	0	0	17	3	152
Jun 2018	17	7	2	10	64	6	7	6	3	1	0	3	18	1	145
May 2018	26	9	0	11	69	7	17	7	4	2	2	0	11	1	166
Apr 2018	21	3	1	12	60	2	21	9	3	2	0	4	16	1	155
Mar 2018	15	9	0	12	42	4	9	6	1	0	0	0	9	11	118
Feb 2018	8	2	0	4	24	0	11	4	3	2	0	3	9	0	70
Jan 2018	19	4	1	9	45	0	19	7	1	3	0	1	7	4	120
Dec 2017	17	5	2	10	44	0	8	9	8	2	0	0	7	3	115
Nov 2017	14	6	0	14	50	5	14	7	2	0	0	1	14	1	128
Oct 2017	16	12	0	5	47	6	12	6	2	3	0	1	9	3	122
Sep 2017	14	6	0	4	46	5	8	11	2	1	1	0	9	3	110
Aug 2017	12	3	0	19	51	10	21	10	2	3	1	0	12	1	145
Jul 2017	21	12	0	9	55	9	12	12	4	3	0	0	11	2	150
Jun 2017	20	6	1	2	61	8	14	9	1	2	2	0	11	4	141
May 2017	26	8	1	9	39	7	14	8	2	2	0	0	4	0	120
Apr 2017	21	7	3	1	34	10	9	1	1	0	0	0	2	0	89
Mar 2017	15	6	0	4	31	5	8	3	0	2	0	0	1	1	76
Feb 2017	20	8	1	5	37	0	11	10	2	1	0	1	0	1	97
Jan 2017	17	3	3	4	25	0	6	12	2	0	0	1	2	0	75
Dec 2016	21	12	0	11	51	1	19	7	1	3	0	0	5	1	132
Nov 2016	22	5	2	7	32	6	7	7	2	1	0	0	4	2	97
Oct 2016	23	15	0	9	31	5	12	5	1	2	0	1	2	0	106
Sep 2016	27	7	2	8	50	8	13	7	3	3	0	0	2	0	130
Aug 2016	34	8	0	3	44	11	8	10	2	3	2	0	5	2	132
Jul 2016	37	9	1	7	50	3	11	9	0	1	1	1	3	1	134
Jun 2016	21	3	0	5	27	4	4	6	1	5	0	0	3	0	79
May 2016	31	4	1	6	28	4	9	6	3	0	0	0	0	1	93
Apr 2016	37	2	0	4	22	3	12	11	1	0	0	0	2	2	96
Mar 2016	15	5	0	2	34	4	18	9	0	0	0	0	3	1	91
Feb 2016	20	1	0	4	27	2	8	6	2	0	0	0	1	1	72
Jan 2016	22	2	0	4	19	5	5	4	0	1	0	0	1	1	64
Dec 2015	22	8	2	16	31	2	8	5	1	0	0	1	1	0	97
Nov 2015	19	10	0	17	29	4	16	7	2	2	1	0	1	0	108
Oct 2015	23	4	1	13	26	2	15	8	2	0	0	0	0	0	94
Sep 2015	28	8	0	5	26	2	8	10	1	1	0	0	2	1	92
Aug 2015	26	4	1	9	30	2	9	17	1	0	1	0	3	0	103
Jul 2015	41	6	1	9	26	3	9	8	1	1	0	1	1	0	107
Jun 2015	32	5	0	2	28	2	8	11	3	0	1	0	0	0	92
May 2015	25	3	1	0	30	1	16	14	3	1	0	1	2	1	98
Apr 2015	28	8	0	3	19	4	10	14	1	2	0	0	0	0	89
Mar 2015	31	2	0	5	28	7	13	11	1	1	0	1	0	1	101
Feb 2015	13	2	0	11	20	4	9	4	3	1	0	0	0	0	67
Jan 2015	20	4	1	20	13	9	4	7	0	0	0	0	3	1	82
Dec 2014	17	6	0	6	20	9	9	11	4	0	0	2	0	2	86
Nov 2014	21	5	0	7	20	5	14	4	0	3	0	0	1	0	80
Oct 2014	35	1	1	9	21	3	6	5	1	4	0	0	2	3	91
Sep 2014	23	9	0	8	24	3	6	2	1	2	0	0	2	4	84
Aug 2014	35	13	1	12	13	3	6	9	0	4	0	0	0	0	96
Jul 2014	27	8	0	5	19	4	16	15	2	0	0	0	3	2	101
Jun 2014	17	10	1	35	14	2	9	13	2	1	0	0	0	1	105
May 2014	22	4	0	6	25	11	12	7	1	3	1	0	0	2	94
Apr 2014	36	28	2	4	12	0	7	13	1	0	0	0	2	1	106
Mar 2014	16	11	0	3	16	8	21	8	1	1	0	0	1	1	87
Feb 2014	18	23	0	1	18	3	14	8	2	0	0	0	1	1	89
Jan 2014	23	18	5	8	19	3	9	6	1	0	0	0	1	0	93
Dec 2013	21	13	0	5	19	2	13	11	2	1	0	0	1	0	88
Nov 2013	24	10	0	7	18	4	4	9	7	4	0	1	2	0	90
Oct 2013	28	7	4	13	12	0	11	9	2	3	0	1	2	0	92
Sep 2013	31	11	0	3	15	4	12	14	2	2	0	1	5	0	100
Aug 2013	34	15	2	6	16	3	17	15	4	6	0	0	0	0	118
Jul 2013	47	11	3	3	19	4	10	6	0	6	1	0	3	0	113
Jun 2013	30	7	0	10	15	1	9	8	3	3	0	0	1	1	88
May 2013	25	8	2	1	24	1	9	12	1	2	0	0	1	0	86
Apr 2013	18	7	0	2	16	0	8	7			1	1		2	62
Mar 2013	13	9	0	2	11	4	17	5			4	0		2	67
Feb 2013	23	5	1	5	11	1	2	5			2	0		1	56
Jan 2013	20	8	3	3	12	0	5	8			0	1		1	61
Dec 2012	20	10	3	7	7	0	8	5			4	2		3	69
Nov 2012	17	10	0	9	11	0	6	9			1	1		1	65
Oct 2012	20	8	1	0	10	3	2	14			3	4		0	65
Sep 2012	22	15	0	3	12	3	6	12			0	2		5	80
Aug 2012	29	9	0	2	15	2	8	7			3	1		3	79
Jul 2012	42	8	2	2	7	1	7	11			3	2		2	87
Jun 2012	23	6	0	4	20	6	18	6			0	1		1	85
May 2012	27	6	0	6	15	1	11	14			2	0		2	84
Apr 2012	36	14	0	6	8	5	5	12			0	3		1	90
Mar 2012	42	11	0	4	10	3	16	8			2	1		0	97
Feb 2012	32	8	0	7	11	0	12	10			2	1		2	85
Jan 2012	24	6	1	0	16	2	9	10			3	1		5	77
Dec 2011	21	7	0	5	15	1	11	5			1	0		3	69
Nov 2011	22	4	1	3	8	0	8	4			1	0		5	56
Oct 2011	37	7	0	5	12	2	18	7			0	1		6	95
Sep 2011	37	1	1	3	13	3	11	8			0	0		4	81
Aug 2011	52	2	2	4	10	29									99
Jul 2011	62	9	0	6	16	44									137
Jun 2011	48	6	0	8	11	27									100
May 2011	32	7	0	3	16	36									94
Apr 2011	34	7	0	2	16	23									82
Mar 2011	31	4	0	7	15	20									77
Feb 2011	13	10	0	2	17	23									65
Jan 2011	32	2	0	3	10	13									60
Dec 2010	31	1	0	2	4	19									57

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 CT9 5

Crime Type and ASB Charts for CT9 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".