Kingsley County Ward

Kingsley, England

County Ward located within Northamptonshire County Council

Residential Population: 9,559 (mid-2013 estimate)

Males: 4,689

Females: 4,870

Land Area: 215.281 Hectares

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Crime in Kingsley

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Feb 2024	13	9	1	9	21	1	5	11	1	2	0	0	3	3	79
Jan 2024	13	2	0	10	34	0	11	10	1	1	0	1	7	1	91
Dec 2023	12	11	0	11	42	0	11	9	2	0	0	2	3	4	107
Nov 2023	13	7	0	8	29	4	5	5	4	1	0	1	5	5	87
Oct 2023	16	7	2	12	36	2	12	8	6	1	0	0	3	2	107
Sep 2023	20	12	1	6	39	2	8	9	4	2	0	1	5	1	110
Aug 2023	20	3	2	8	47	1	9	9	3	0	0	3	4	0	109
Jul 2023	17	3	0	6	38	2	8	5	3	1	0	0	1	2	86
Jun 2023	25	4	0	8	54	0	6	8	1	1	0	3	6	1	117
May 2023	19	9	2	7	47	2	6	8	1	0	1	1	7	1	111
Apr 2023	22	7	0	12	34	1	11	6	3	1	1	1	5	0	104
Mar 2023	19	5	4	19	38	3	7	12	4	0	0	1	3	2	117
Feb 2023	17	6	0	7	28	1	8	4	1	1	0	0	2	0	75
Jan 2023	7	7	1	9	36	2	6	5	2	0	0	1	8	1	85
Dec 2022	9	8	1	13	22	0	4	12	3	0	0	1	3	0	76
Nov 2022	15	9	2	4	58	5	11	11	3	0	0	1	1	2	122
Oct 2022	5	2	0	5	36	0	9	10	1	3	0	1	9	1	82
Sep 2022	17	10	0	9	41	0	6	8	1	3	2	0	5	0	102
Aug 2022	17	3	0	12	42	0	1	9	3	0	2	0	9	3	101
Jul 2022	16	7	4	5	26	1	2	8	4	1	1	2	8	4	89
Jun 2022	15	2	4	4	29	4	8	12	7	0	4	1	11	2	103
May 2022	13	2	2	6	45	16	4	12	2	1	2	3	9	2	119
Apr 2022	5	2	0	2	48	6	12	8	4	0	0	1	4	3	95
Mar 2022	16	4	0	10	39	5	14	4	1	1	1	2	3	2	102
Feb 2022	9	9	0	7	23	4	6	6	4	0	1	3	5	5	82
Jan 2022	11	6	1	14	37	2	8	7	1	1	1	1	5	4	99
Dec 2021	15	6	1	10	39	9	12	7	1	0	1	0	3	1	105
Nov 2021	17	2	1	5	41	13	8	5	2	0	0	0	3	0	97
Oct 2021	21	4	1	4	30	13	14	6	5	0	0	0	7	0	105
Sep 2021	22	4	2	3	41	2	13	6	2	1	1	1	6	8	112
Aug 2021	27	4	3	6	36	3	4	11	1	1	2	1	8	1	108
Jul 2021	29	2	0	9	42	7	15	2	0	1	2	1	5	2	117
Jun 2021	17	4	2	8	46	2	8	1	1	3	0	1	2	2	97
May 2021	16	3	2	8	37	1	12	5	3	0	1	3	5	0	96
Apr 2021	22	1	3	4	30	0	5	6	0	0	0	1	7	0	79
Mar 2021	21	5	1	10	29	2	8	7	5	0	0	0	9	2	99
Feb 2021	21	2	6	11	33	4	10	8	4	1	0	0	3	3	106
Jan 2021	28	5	1	30	30	6	16	6	5	5	1	1	4	1	139
Dec 2020	15	9	1	27	46	0	8	6	2	2	1	2	2	1	122
Nov 2020	23	3	1	26	38	0	10	6	2	1	0	1	7	0	118
Oct 2020	15	8	3	2	43	0	5	8	1	1	0	2	5	2	95
Sep 2020	29	5	1	2	44	1	5	4	1	2	0	2	4	5	105
Aug 2020	22	2	2	5	46	1	5	9	2	3	0	2	6	5	110
Jul 2020	27	8	0	4	52	0	6	7	1	1	0	1	8	1	116
Jun 2020	37	4	2	4	54	1	11	6	2	2	0	2	2	0	127
May 2020	57	7	3	7	40	0	5	4	1	2	0	1	6	0	133
Apr 2020	57	0	0	6	29	2	7	1	0	0	0	0	1	0	103
Mar 2020	21	5	3	5	39	0	13	8	3	0	0	0	3	5	105
Feb 2020	15	4	3	11	26	3	10	6	12	0	0	1	4	1	96
Jan 2020	19	2	3	12	27	1	3	5	4	0	0	0	4	1	81
Dec 2019	14	5	3	5	15	0	10	9	1	1	0	0	5	0	68
Nov 2019	15	2	3	10	27	1	4	4	1	1	1	1	4	1	75
Oct 2019	15	3	2	9	32	2	10	4	2	1	1	0	2	1	84
Sep 2019	22	5	4	6	26	0	5	1	2	1	0	0	2	1	75
Aug 2019	28	13	1	10	30	0	9	6	0	0	0	0	1	1	99
Jul 2019	32	2	3	10	36	3	3	4	1	2	0	0	2	0	98
Jun 2019	20	15	3	10	40	0	5	8	2	1	0	0	3	0	107
May 2019	17	8	6	15	32	2	9	2	1	1	1	0	1	0	95
Apr 2019	27	12	1	17	32	4	9	6	5	3	2	0	3	3	124
Mar 2019	17	12	0	5	24	3	10	10	0	0	0	1	6	1	89
Feb 2019	13	7	2	22	31	1	4	3	0	0	2	1	2	2	90
Jan 2019	20	17	4	20	21	1	10	5	2	1	1	1	2	0	105
Dec 2018	10	12	3	17	19	6	8	6	4	0	1	0	3	0	89
Nov 2018	19	2	5	16	28	5	15	10	5	3	0	1	4	3	116
Oct 2018	30	6	2	21	26	2	4	3	3	2	1	1	0	1	102
Sep 2018	24	8	5	22	24	0	11	9	4	2	0	0	2	2	113
Aug 2018	22	11	0	23	26	5	8	15	4	1	3	0	2	1	121
Jul 2018	33	5	1	21	28	2	9	9	6	0	4	2	2	3	125
Jun 2018	47	5	2	19	32	3	9	8	2	3	1	2	4	2	139
May 2018	34	4	1	15	33	5	7	7	5	2	2	3	3	1	122
Apr 2018	29	5	1	17	28	4	13	6	3	1	2	1	4	2	116
Mar 2018	31	9	5	10	25	1	6	4	1	0	1	0	1	2	96
Feb 2018	30	0	0	7	19	3	7	4	1	2	1	0	3	2	79
Jan 2018	27	14	0	11	25	2	11	7	1	1	0	1	1	1	102
Dec 2017	26	6	3	5	24	3	13	8	1	1	0	2	1	2	95
Nov 2017	28	10	1	8	25	4	3	6	0	1	1	0	0	3	90
Oct 2017	25	5	2	12	17	2	4	5	1	1	3	1	2	0	80
Sep 2017	40	13	3	15	20	2	11	4	2	1	1	0	0	0	112
Aug 2017	33	8	4	11	30	4	9	7	2	1	1	1	3	2	116
Jul 2017	46	8	3	14	21	4	14	10	3	1	4	1	1	5	135
Jun 2017	35	5	0	8	37	3	6	6	2	1	0	0	1	2	106
May 2017	52	5	2	10	44	6	7	6	2	4	0	0	3	0	141
Apr 2017	53	8	2	13	24	4	5	2	0	0	1	0	4	0	116
Mar 2017	44	5	3	23	27	8	14	5	0	3	2	0	1	0	135
Feb 2017	34	17	2	50	15	6	19	11	0	2	1	0	2	1	160
Jan 2017	19	12	2	29	19	3	5	11	1	6	2	0	1	1	111
Dec 2016	23	7	1	19	19	5	12	2	1	1	1	2	0	0	93
Nov 2016	35	10	2	24	13	3	7	5	0	5	1	2	0	1	108
Oct 2016	42	4	2	12	31	6	8	9	2	4	0	1	0	0	121
Sep 2016	57	5	2	10	17	7	15	10	3	4	1	0	0	0	131
Aug 2016	60	5	0	9	39	10	15	7	3	0	1	2	3	3	157
Jul 2016	74	7	0	11	28	17	13	10	1	1	2	1	0	1	166
Jun 2016	75	13	3	12	25	8	20	10	1	3	1	1	1	1	174
May 2016	62	12	4	15	27	16	9	8	2	1	2	0	1	0	159
Apr 2016	38	13	0	11	12	10	7	12	2	4	0	0	1	0	110
Mar 2016	34	13	0	9	33	11	10	11	1	1	2	1	4	3	133
Feb 2016	30	9	0	7	14	28	22	7	3	1	1	1	0	1	124
Jan 2016	40	7	0	8	23	26	6	8	2	5	2	0	3	1	131
Dec 2015	31	16	0	3	25	9	23	5	4	2	1	0	2	0	121
Nov 2015	40	9	2	7	21	11	16	4	1	0	0	0	0	0	111
Oct 2015	38	10	1	10	21	31	6	4	2	2	2	0	1	0	128
Sep 2015	28	5	1	4	20	4	8	7	3	0	3	2	0	0	85
Aug 2015	40	9	0	5	21	3	11	4	2	2	0	2	0	0	99
Jul 2015	47	6	2	6	21	3	7	4	4	2	1	2	0	1	106
Jun 2015	37	6	0	6	22	6	10	7	0	1	0	0	1	0	96
May 2015	25	11	0	2	23	5	13	10	2	3	0	1	1	1	97
Apr 2015	34	7	0	1	28	1	16	7	2	2	0	0	3	1	102
Mar 2015	34	7	3	4	24	5	17	3	3	2	0	2	1	0	105
Feb 2015	33	9	0	3	14	10	10	5	3	1	1	2	3	1	95
Jan 2015	58	12	3	6	20	16	7	7	4	1	0	0	0	1	135
Dec 2014	51	12	1	5	15	9	14	4	5	0	0	2	2	0	120
Nov 2014	38	13	3	6	24	10	10	7	4	1	1	0	2	1	120
Oct 2014	57	10	1	10	18	11	5	7	3	7	0	1	1	5	136
Sep 2014	47	12	7	3	13	6	6	4	1	1	1	0	1	0	102
Aug 2014	56	10	6	15	13	7	9	5	6	0	2	0	1	1	131
Jul 2014	49	16	2	8	27	7	12	15	4	1	1	0	4	2	148
Jun 2014	51	14	2	5	9	10	8	5	3	1	0	0	4	0	112
May 2014	72	19	1	3	19	8	8	7	4	2	3	1	5	2	154
Apr 2014	51	15	0	4	16	14	9	5	1	0	2	0	2	2	121
Mar 2014	45	12	0	3	10	5	7	11	4	0	1	1	1	0	100
Feb 2014	33	10	3	1	13	10	15	7	2	2	1	0	0	0	97
Jan 2014	27	10	3	4	10	4	11	4	2	1	3	1	1	1	82
Dec 2013	38	16	0	7	14	11	10	1	2	2	1	0	2	1	105
Nov 2013	32	13	3	8	4	2	10	4	4	3	3	1	2	0	89
Oct 2013	48	7	1	11	5	7	9	5	2	2	1	0	0	2	100
Sep 2013	46	11	1	5	18	14	9	4	2	3	1	0	0	1	115
Aug 2013	59	9	6	12	15	15	5	8	0	3	1	0	1	1	135
Jul 2013	81	13	1	6	9	5	11	6	4	0	1	0	1	0	138
Jun 2013	54	19	1	12	10	7	17	17	3	2	0	0	0	0	142
May 2013	58	18	3	9	14	10	3	4	5	2	0	0	3	1	130
Apr 2013	61	17	1	7	8	8	7	9			1	1		0	120
Mar 2013	38	7	4	6	8	9	9	7			1	0		2	91
Feb 2013	44	6	1	7	9	6	4	10			2	5		3	97
Jan 2013	39	15	1	12	4	10	10	7			4	2		6	110
Dec 2012	43	23	1	21	12	6	9	15			2	1		8	141
Nov 2012	33	10	3	19	21	15	12	14			2	0		7	136
Oct 2012	40	17	2	14	15	30	11	16			0	5		6	156
Sep 2012	46	7	5	7	11	17	9	11			0	3		3	119
Aug 2012	56	10	6	9	9	7	11	10			1	0		8	127
Jul 2012	61	4	3	11	16	12	12	13			2	2		5	141
Jun 2012	50	7	3	3	13	16	3	17			0	1		4	117
May 2012	45	16	3	9	17	10	10	15			4	2		3	134
Apr 2012	45	9	2	10	11	6	6	6			3	1		3	102
Mar 2012	55	6	1	15	13	9	11	12			2	0		2	126
Feb 2012	44	10	0	4	7	17	9	6			1	0		3	101
Jan 2012	36	18	0	14	10	10	11	8			1	1		4	113
Dec 2011	43	12	0	12	12	6	9	10			1	1		6	112
Nov 2011	47	14	4	10	12	0	12	16			3	1		1	120
Oct 2011	50	15	0	15	8	14	10	10			0	2		0	124
Sep 2011	86	15	1	2	19	11	21	18			2	1		1	177
Aug 2011	85	9	1	8	11	30									144
Jul 2011	67	10	2	5	18	50									152
Jun 2011	80	7	1	6	14	52									160
May 2011	77	18	3	7	14	64									183
Apr 2011	94	16	3	4	11	41									169
Mar 2011	73	17	2	14	7	59									172
Feb 2011	53	15	2	12	5	50									137
Jan 2011	48	10	0	6	6	46									116
Dec 2010	47	12	2	5	14	28									108

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 Kingsley

Crime Type and ASB Charts for Kingsley

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".