Kendal Town Ward District Ward

Kendal Town Ward, England

District Ward located within South Lakeland District

Residential Population: 6,820 (mid-2020 estimate)

Males: 3,436

Females: 3,384

Land Area: 403.999 Hectares

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Crime in Kendal Town Ward

	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	6	1	2	35	28	7	6	7	0	0	2	5	0	106
Jan 2024	15	3	1	3	26	8	6	7	3	1	1	1	9	0	84
Dec 2023	8	5	3	1	26	11	4	7	7	3	1	1	2	2	81
Nov 2023	11	0	0	0	41	13	9	9	8	0	1	8	10	2	112
Oct 2023	14	0	1	1	27	11	9	4	5	2	1	1	2	1	79
Sep 2023	16	2	0	1	28	24	8	7	11	0	0	1	15	2	115
Jul 2023	14	2	0	0	37	8	11	9	7	1	2	2	5	2	100
Jun 2023	18	0	0	0	38	13	10	8	9	5	1	3	10	0	115
May 2023	15	4	1	4	37	15	15	5	6	0	1	4	10	4	121
Apr 2023	13	0	1	1	25	8	14	6	4	0	1	7	8	1	89
Mar 2023	10	0	0	0	39	10	13	5	2	4	0	1	17	0	101
Feb 2023	20	0	0	1	18	12	9	7	3	1	0	0	5	2	78
Jan 2023	13	3	0	2	29	8	14	6	5	1	0	1	3	0	85
Dec 2022	17	1	0	2	38	13	5	3	1	2	0	0	8	0	90
Nov 2022	16	1	1	1	32	15	9	7	4	0	1	1	12	2	102
Oct 2022	18	5	1	1	28	29	4	7	1	1	1	2	12	0	110
Sep 2022	12	6	0	1	39	21	9	3	9	4	0	0	10	1	115
Aug 2022	33	3	0	2	56	25	16	10	0	1	1	0	12	1	160
Jul 2022	20	1	1	0	53	16	13	7	5	6	0	0	22	2	146
Jun 2022	24	15	0	3	41	27	16	8	5	4	1	1	14	2	161
May 2022	23	8	0	5	65	11	7	10	1	1	1	2	11	1	146
Apr 2022	18	6	0	1	62	24	14	6	2	1	0	0	18	2	154
Mar 2022	18	5	0	2	56	16	10	9	2	0	0	0	12	1	131
Feb 2022	22	1	0	2	35	8	5	9	6	0	0	0	18	0	106
Jan 2022	21	6	0	0	26	4	11	5	2	0	0	0	8	1	84
Dec 2021	17	2	0	1	31	2	16	4	4	0	0	0	7	1	85
Nov 2021	15	1	0	2	31	11	4	5	1	0	1	0	9	3	83
Oct 2021	11	1	1	1	32	10	8	7	2	1	2	0	8	0	84
Sep 2021	8	2	1	0	30	8	5	5	2	2	0	0	6	1	70
Aug 2021	21	3	0	0	29	9	17	6	0	2	0	1	8	0	96
Jul 2021	19	2	1	0	35	13	13	5	4	0	1	2	10	1	106
Jun 2021	20	2	0	0	29	9	3	3	0	1	0	0	7	0	74
May 2021	22	3	0	0	39	6	6	2	5	0	1	1	6	1	92
Apr 2021	26	2	0	1	31	8	4	5	1	0	0	1	11	0	90
Mar 2021	20	1	0	0	26	5	5	3	2	0	0	0	7	1	70
Feb 2021	16	0	0	1	10	3	2	2	4	1	0	0	3	1	43
Jan 2021	24	2	0	0	28	1	7	2	3	0	0	0	4	2	73
Dec 2020	23	3	0	1	22	6	16	2	4	0	2	2	8	0	89
Nov 2020	26	2	0	1	20	8	8	4	1	1	2	0	5	1	79
Oct 2020	26	4	0	1	30	19	16	4	6	0	1	1	7	2	117
Sep 2020	27	3	1	2	29	5	9	5	1	2	0	1	7	1	93
Aug 2020	29	4	0	1	36	7	11	9	1	2	2	2	18	2	124
Jul 2020	34	7	0	1	38	6	19	4	3	0	0	0	10	2	124
Jun 2020	43	3	1	2	26	8	6	7	3	2	0	2	12	0	115
May 2020	31	7	1	2	29	4	10	8	5	2	0	0	5	2	106
Apr 2020	27	1	1	1	21	3	4	3	3	2	0	2	8	0	76
Mar 2020	32	5	0	3	38	5	7	6	2	2	0	1	12	2	115
Feb 2020	33	2	0	6	37	11	7	10	1	2	1	0	12	1	123
Jan 2020	25	8	1	0	40	8	5	7	5	0	0	1	9	0	109
Dec 2019	29	5	1	1	32	11	12	3	4	0	1	1	3	1	104
Nov 2019	9	5	0	2	39	27	9	10	2	0	1	1	6	3	114
Oct 2019	20	1	2	2	34	22	14	4	3	2	3	1	3	1	112
Sep 2019	27	3	0	7	27	8	22	5	5	5	0	1	12	0	122
Aug 2019	30	5	0	3	41	13	7	11	3	4	1	1	6	0	125
Jul 2019	28	5	0	5	46	23	10	4	2	2	0	0	16	1	142
Jun 2019	15	6	0	4	30	12	7	4	0	1	0	1	11	1	92
May 2019	16	6	1	2	24	9	7	11	1	0	2	1	6	0	86
Apr 2019	22	4	0	0	38	14	7	13	2	1	0	0	2	3	106
Mar 2019	30	7	0	2	48	22	13	10	1	1	4	1	5	3	147
Feb 2019	21	7	1	1	27	20	8	6	2	1	3	0	8	1	106
Jan 2019	21	2	0	2	34	12	10	11	6	0	1	1	14	4	118
Dec 2018	31	3	2	0	26	21	11	5	2	0	0	0	8	5	114
Nov 2018	20	1	1	1	23	19	11	4	3	0	1	0	10	1	95
Oct 2018	19	2	1	3	37	12	11	5	2	3	0	1	9	3	108
Sep 2018	12	4	0	1	27	13	9	12	8	1	0	2	11	1	101
Aug 2018	24	3	0	1	25	10	7	8	4	1	1	1	6	0	91
Jul 2018	29	2	2	1	38	12	6	6	2	3	2	0	14	1	118
Jun 2018	21	2	0	3	42	20	13	5	3	3	0	4	10	4	130
May 2018	18	3	0	5	38	12	13	15	6	0	1	0	3	1	115
Apr 2018	27	1	0	0	23	8	8	4	4	2	0	0	8	3	88
Mar 2018	27	3	0	1	29	11	14	6	2	1	1	0	12	4	111
Feb 2018	27	3	0	3	26	14	12	3	10	2	0	0	9	3	112
Jan 2018	32	3	1	0	22	10	12	7	6	4	0	0	6	1	104
Dec 2017	39	3	0	4	25	20	10	10	6	0	1	1	3	0	122
Nov 2017	24	1	0	3	26	9	9	9	4	1	0	1	9	2	98
Oct 2017	40	2	0	2	21	14	16	7	5	1	2	1	5	0	116
Sep 2017	31	0	0	0	26	7	7	6	1	2	2	3	4	3	92
Aug 2017	27	3	0	1	23	20	15	3	0	1	1	0	3	0	97
Jul 2017	29	0	0	0	22	4	17	6	2	1	0	0	4	0	85
Jun 2017	27	4	0	1	22	16	12	4	4	2	0	2	8	1	103
May 2017	33	2	0	1	25	17	11	5	1	2	1	0	12	2	112
Apr 2017	42	2	1	1	28	13	20	3	3	1	5	0	3	3	125
Mar 2017	28	2	1	1	17	10	10	8	0	2	4	1	5	0	89
Feb 2017	36	2	3	4	21	17	19	12	2	0	0	0	7	1	124
Jan 2017	17	5	0	1	17	18	13	3	3	0	0	0	4	2	83
Dec 2016	51	6	0	1	23	15	13	6	0	0	0	0	1	2	118
Nov 2016	22	4	0	0	13	8	21	9	3	1	2	0	3	2	88
Oct 2016	31	6	2	5	16	8	12	6	2	1	1	0	5	0	95
Sep 2016	22	1	0	2	18	12	13	8	1	0	0	0	6	0	83
Aug 2016	32	7	0	3	18	6	19	6	3	1	2	4	3	1	105
Jul 2016	42	5	0	0	11	12	2	9	5	2	6	1	1	2	98
Jun 2016	31	5	0	1	22	10	8	7	2	2	0	0	7	0	95
May 2016	30	5	0	4	16	25	14	6	3	2	1	1	4	0	111
Apr 2016	28	1	1	1	6	10	18	10	3	4	0	0	3	0	85
Mar 2016	42	0	0	1	16	5	10	8	0	1	1	0	6	1	91
Feb 2016	29	3	0	0	18	9	13	4	9	0	0	2	4	2	93
Jan 2016	32	8	0	2	26	5	22	6	1	2	1	0	11	2	118
Dec 2015	29	10	0	0	23	10	21	5	2	3	0	1	7	0	111
Nov 2015	24	2	0	5	17	10	14	6	1	0	1	0	2	1	83
Oct 2015	43	4	0	2	15	13	12	3	1	0	5	1	8	1	108
Sep 2015	35	3	0	1	12	12	12	9	4	2	2	0	5	0	97
Aug 2015	45	9	0	1	21	13	7	9	7	4	1	1	6	0	124
Jul 2015	46	6	0	3	14	11	17	7	7	3	0	0	1	1	116
Jun 2015	42	4	0	1	16	9	14	5	0	0	2	1	3	0	97
May 2015	63	1	1	0	32	19	18	8	3	2	0	1	4	0	152
Apr 2015	61	4	1	0	24	13	8	9	6	0	1	0	7	1	135
Mar 2015	70	5	0	1	17	9	14	4	3	0	1	0	5	0	129
Feb 2015	70	2	0	2	23	26	12	5	4	2	1	1	5	0	153
Jan 2015	32	3	0	4	4	2	14	7	4	0	0	0	2	0	72
Dec 2014	92	2	0	0	27	9	15	10	5	1	0	0	6	1	168
Nov 2014	34	3	0	4	15	15	13	6	6	1	2	0	4	0	103
Oct 2014	43	3	0	1	16	18	8	10	0	1	1	0	2	1	104
Sep 2014	61	8	0	2	17	7	9	5	1	4	0	1	2	4	121
Aug 2014	46	1	0	0	16	11	10	5	0	0	3	0	5	0	97
Jul 2014	45	1	0	1	25	6	8	6	8	2	4	0	3	1	110
Jun 2014	67	8	0	5	22	3	12	7	2	2	1	0	5	0	134
May 2014	52	2	0	1	27	9	13	8	4	0	0	0	6	2	124
Apr 2014	64	6	0	1	16	11	5	5	6	1	0	0	3	0	118
Mar 2014	73	3	0	0	9	9	12	10	2	0	0	0	2	1	121
Feb 2014	38	3	1	0	11	6	13	7	2	0	0	0	4	0	85
Jan 2014	51	0	0	1	7	12	6	4	3	0	0	1	2	0	87
Dec 2013	46	4	2	1	10	10	10	9	2	2	2	0	1	1	100
Nov 2013	36	4	1	3	13	13	9	6	2	1	0	0	3	0	91
Oct 2013	53	2	0	1	10	8	9	10	3	1	1	1	1	2	102
Sep 2013	47	3	0	2	28	11	6	6	2	0	1	1	5	2	114
Aug 2013	62	3	2	1	10	7	12	8	2	0	1	0	1	0	109
Jul 2013	59	0	0	2	16	10	8	14	2	1	0	0	6	0	118
Jun 2013	49	9	0	1	20	5	12	8	6	0	1	1	4	2	118
May 2013	70	5	1	4	16	14	20	7	6	2	2	0	1	2	150
Apr 2013	55	10	0	2	11	11	22	14			1	6		0	132
Mar 2013	73	13	0	1	9	4	20	4			5	1		2	132
Feb 2013	62	7	0	3	11	9	7	15			3	3		6	126
Jan 2013	65	3	0	3	11	9	16	9			1	3		1	121
Dec 2012	74	1	0	1	19	7	16	12			11	8		3	152
Nov 2012	44	10	0	4	8	9	17	13			7	1		2	115
Oct 2012	66	6	0	0	16	8	8	13			8	2		4	131
Sep 2012	71	5	1	2	5	12	9	10			1	1		1	118
Aug 2012	64	5	0	2	12	9	22	13			4	9		1	141
Jul 2012	62	3	0	3	18	11	27	14			8	9		2	157
Jun 2012	55	7	1	0	23	3	10	27			6	1		4	137
May 2012	62	3	0	4	20	6	13	15			4	4		5	136
Apr 2012	104	3	0	4	20	9	11	18			1	4		1	175
Mar 2012	106	5	0	2	12	10	18	20			4	3		7	187
Feb 2012	71	1	0	3	13	10	13	12			8	2		3	136
Jan 2012	60	4	0	2	13	16	20	21			3	5		4	148
Dec 2011	68	7	1	3	22	17	13	11			3	4		2	151
Nov 2011	75	2	0	0	17	13	20	14			3	7		3	154
Oct 2011	98	5	0	1	23	20	32	12			2	7		8	208
Sep 2011	54	10	0	5	18	10	31	11			4	10		4	157
Aug 2011	59	7	0	9	28	84									187
Jul 2011	57	5	0	1	30	35									128
Jun 2011	60	3	0	3	16	49									131
May 2011	70	2	0	3	15	50									140
Apr 2011	62	5	0	4	21	41									133
Mar 2011	35	3	0	0	19	56									113
Feb 2011	41	5	0	4	17	50									117
Jan 2011	52	1	0	0	14	51									118
Dec 2010	65	0	0	1	22	47									135

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 Kendal Town Ward

Crime Type and ASB Charts for Kendal Town Ward

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".