Danesholme County Ward

Danesholme, England

County Ward located within Northamptonshire County Council

Residential Population: 15,496 (mid-2013 estimate)

Males: 7,672

Females: 7,824

Land Area: 529.495 Hectares

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Crime in Danesholme

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Feb 2024	14	3	0	6	29	4	4	6	3	0	0	0	2	2	73
Jan 2024	13	2	1	5	39	5	1	4	0	0	0	0	2	0	72
Dec 2023	15	0	0	1	41	5	6	7	3	0	0	1	3	2	84
Nov 2023	16	1	1	2	40	9	4	9	1	0	0	0	5	3	91
Oct 2023	25	8	1	1	47	11	7	7	2	1	0	0	7	4	121
Sep 2023	16	4	1	6	28	9	4	8	0	1	0	2	3	6	88
Aug 2023	19	5	0	13	38	14	6	6	2	0	0	1	2	2	108
Jul 2023	23	3	2	7	42	6	5	8	3	0	1	0	5	3	108
Jun 2023	20	1	0	3	32	0	12	9	5	1	0	2	5	6	96
May 2023	15	3	1	2	48	1	21	6	2	0	0	0	4	2	105
Apr 2023	18	2	2	8	37	1	11	8	1	0	0	2	4	3	97
Mar 2023	22	2	3	7	29	2	18	11	4	0	1	1	10	2	112
Feb 2023	10	3	0	5	36	2	6	6	0	1	0	0	5	8	82
Jan 2023	8	2	1	4	41	8	10	2	3	0	0	1	4	5	89
Dec 2022	9	1	0	2	56	8	6	9	3	0	0	0	4	2	100
Nov 2022	11	2	1	3	39	0	7	6	0	0	0	2	5	3	79
Oct 2022	19	8	0	6	45	3	5	9	6	0	0	0	7	7	115
Sep 2022	21	1	0	5	39	2	2	6	3	0	1	1	6	1	88
Aug 2022	21	3	2	2	37	3	8	1	1	0	0	0	6	3	87
Jul 2022	19	1	0	0	30	0	10	11	3	2	0	3	5	3	87
Jun 2022	19	3	0	7	34	3	13	7	1	1	1	2	8	2	101
May 2022	8	4	0	4	45	3	7	8	1	1	0	1	3	0	85
Apr 2022	14	3	0	2	49	3	10	9	0	1	0	0	6	3	100
Mar 2022	17	0	0	2	41	3	5	8	2	1	0	2	4	0	85
Feb 2022	19	5	1	2	43	4	12	4	2	0	0	6	1	9	108
Jan 2022	13	2	1	1	43	4	7	3	1	0	0	1	5	1	82
Dec 2021	19	4	1	9	48	0	8	10	4	1	0	0	1	1	106
Nov 2021	11	2	1	2	30	0	11	10	0	2	0	1	8	2	80
Oct 2021	20	0	0	2	41	3	10	9	3	0	1	2	5	2	98
Sep 2021	17	3	0	0	33	1	15	7	4	0	0	2	10	3	95
Aug 2021	26	5	2	3	38	1	12	8	3	1	0	3	7	2	111
Jul 2021	26	7	1	8	46	1	13	10	2	0	0	2	5	3	124
Jun 2021	29	4	0	5	49	0	2	3	1	0	0	2	9	3	107
May 2021	29	3	2	3	42	1	7	8	3	2	1	1	8	5	115
Apr 2021	14	3	2	2	57	1	4	6	3	0	0	0	7	2	101
Mar 2021	35	1	0	5	51	3	5	5	0	0	0	1	7	2	115
Feb 2021	18	3	1	2	48	1	6	6	0	0	0	1	8	2	96
Jan 2021	35	5	1	1	30	3	11	2	0	2	0	0	7	1	98
Dec 2020	19	2	0	9	42	2	10	3	4	0	1	3	10	5	110
Nov 2020	22	4	0	5	57	2	9	5	3	0	0	2	10	1	120
Oct 2020	33	5	1	13	46	3	9	8	3	0	0	1	8	2	132
Sep 2020	31	2	3	11	59	4	8	8	2	1	1	4	2	3	139
Aug 2020	37	4	2	6	55	2	10	7	1	1	0	0	12	3	140
Jul 2020	36	4	1	9	55	1	11	12	1	0	0	0	7	5	142
Jun 2020	55	4	0	7	66	5	9	7	4	2	0	1	6	3	169
May 2020	86	2	1	3	31	2	9	5	2	1	0	0	6	2	150
Apr 2020	55	1	1	3	40	0	4	6	1	2	0	0	9	0	122
Mar 2020	21	3	1	15	43	1	6	10	0	1	0	0	9	4	114
Feb 2020	12	5	0	9	46	4	8	12	2	0	0	2	4	2	106
Jan 2020	18	5	0	3	40	5	11	8	4	0	0	0	5	3	102
Dec 2019	12	3	3	4	41	5	10	6	3	0	0	0	1	0	88
Nov 2019	16	8	0	6	48	1	11	10	1	0	0	1	6	1	109
Oct 2019	24	5	0	13	25	1	10	10	0	1	0	1	6	2	98
Sep 2019	25	3	1	8	46	3	6	5	3	0	1	1	3	3	108
Aug 2019	33	3	1	10	41	7	12	14	1	0	0	6	3	2	133
Jul 2019	41	5	1	8	41	8	7	6	1	1	0	1	7	0	127
Jun 2019	40	8	5	2	32	2	10	8	0	3	0	0	2	1	113
May 2019	35	6	2	6	36	7	13	7	4	1	0	0	1	2	120
Apr 2019	46	4	4	1	33	1	8	11	4	0	0	0	3	1	116
Mar 2019	41	6	0	8	38	5	11	4	1	0	0	3	5	0	122
Feb 2019	28	7	0	4	36	4	5	4	1	3	1	1	1	2	97
Jan 2019	32	3	2	11	32	0	8	4	2	0	1	1	2	1	99
Dec 2018	19	8	0	14	31	5	11	5	3	0	0	1	1	1	99
Nov 2018	25	5	0	4	24	0	4	0	1	0	0	0	0	4	67
Oct 2018	25	10	2	6	38	1	7	11	0	1	0	0	5	1	107
Sep 2018	22	11	1	5	32	5	7	5	0	1	0	1	2	3	95
Aug 2018	43	13	1	9	32	8	12	11	0	1	0	0	3	1	134
Jul 2018	38	11	0	9	34	4	10	11	2	2	0	1	6	2	130
Jun 2018	44	12	2	0	36	2	3	11	0	1	0	0	6	3	120
May 2018	41	10	0	10	35	5	8	13	0	0	1	1	5	2	131
Apr 2018	40	4	1	11	25	2	10	4	0	3	0	0	3	5	108
Mar 2018	24	10	1	7	36	1	8	13	0	1	0	2	5	0	108
Feb 2018	42	5	2	11	35	5	16	12	1	2	1	0	7	2	141
Jan 2018	35	8	2	7	39	7	7	17	1	0	0	1	7	0	131
Dec 2017	23	5	0	14	31	4	13	13	0	0	0	1	0	2	106
Nov 2017	35	8	1	9	31	5	9	7	0	1	0	1	0	0	107
Oct 2017	67	3	0	8	22	2	6	10	1	0	1	0	1	3	124
Sep 2017	27	2	0	14	35	8	5	7	0	6	0	0	0	2	106
Aug 2017	32	10	0	20	28	3	14	3	0	2	1	0	1	1	115
Jul 2017	49	5	1	12	28	5	11	6	1	2	1	0	0	1	122
Jun 2017	45	5	0	14	34	4	4	11	0	1	0	0	1	5	124
May 2017	31	2	1	6	31	2	9	12	2	1	0	0	2	3	102
Apr 2017	48	3	0	9	23	6	3	16	0	2	0	0	3	1	114
Mar 2017	32	10	0	12	23	6	10	5	1	1	0	1	0	2	103
Feb 2017	28	8	2	4	19	4	10	6	1	0	0	0	0	0	82
Jan 2017	23	6	0	4	23	3	10	4	1	0	0	0	1	0	75
Dec 2016	32	3	1	5	25	1	6	12	4	1	0	1	0	2	93
Nov 2016	27	10	0	7	12	11	7	9	0	0	1	2	1	2	89
Oct 2016	37	4	3	5	17	4	3	8	0	2	0	0	1	3	87
Sep 2016	42	4	0	2	27	4	13	8	0	1	0	0	1	2	104
Aug 2016	46	2	1	5	18	5	9	4	1	1	0	0	0	0	92
Jul 2016	48	4	0	2	31	2	6	14	0	0	0	0	0	1	108
Jun 2016	29	0	2	6	27	4	10	6	1	3	1	0	4	1	94
May 2016	56	5	2	8	40	4	15	12	1	0	0	0	1	2	146
Apr 2016	45	4	2	5	39	3	9	12	2	1	0	2	0	3	127
Mar 2016	54	1	1	5	15	3	7	11	1	0	2	0	2	0	102
Feb 2016	38	4	1	7	24	5	10	3	0	0	0	0	1	0	93
Jan 2016	49	10	0	3	21	2	5	2	3	0	0	0	0	1	96
Dec 2015	32	4	0	4	20	1	7	4	0	0	0	0	1	2	75
Nov 2015	34	1	0	1	30	1	14	8	1	1	0	0	4	3	98
Oct 2015	43	7	0	7	26	6	9	6	1	1	1	0	3	1	111
Sep 2015	33	5	0	2	33	5	8	4	4	3	0	1	0	0	98
Aug 2015	57	5	1	1	27	2	15	5	0	1	0	0	0	2	116
Jul 2015	59	6	1	1	30	0	14	4	1	1	1	0	1	0	119
Jun 2015	49	4	0	9	22	4	7	14	2	1	0	0	3	3	118
May 2015	43	10	1	6	25	1	6	10	1	0	0	0	2	0	105
Apr 2015	50	2	0	6	24	3	8	6	1	0	1	2	2	2	107
Mar 2015	42	5	2	2	24	6	11	3	1	0	0	2	2	2	102
Feb 2015	44	2	3	4	19	7	10	7	2	0	0	0	2	1	101
Jan 2015	47	6	0	7	34	3	6	8	2	0	1	1	1	0	116
Dec 2014	40	4	0	2	27	5	7	6	3	0	0	1	4	2	101
Nov 2014	65	3	1	1	24	0	6	4	2	1	0	1	0	0	108
Oct 2014	62	3	1	3	16	0	9	4	3	1	0	0	1	1	104
Sep 2014	56	6	2	3	12	1	9	6	1	1	0	1	2	2	102
Aug 2014	63	10	0	5	16	1	15	5	0	0	0	0	1	2	118
Jul 2014	60	8	1	5	13	0	13	7	5	1	0	0	2	0	115
Jun 2014	64	4	0	2	22	0	6	5	1	2	0	0	0	2	108
May 2014	48	3	0	1	18	6	10	4	0	1	0	1	0	1	93
Apr 2014	54	6	0	3	15	4	5	6	1	0	2	0	1	0	97
Mar 2014	53	8	0	5	13	4	20	5	2	1	0	0	1	2	114
Feb 2014	39	6	0	0	11	5	9	7	1	1	0	0	0	0	79
Jan 2014	28	8	0	1	17	8	8	6	1	1	0	0	0	4	82
Dec 2013	52	7	0	10	9	0	13	10	1	1	0	0	0	0	103
Nov 2013	32	9	0	3	10	5	7	2	2	0	0	0	0	0	70
Oct 2013	52	9	1	4	11	4	7	2	1	1	1	0	0	1	94
Sep 2013	52	15	0	3	11	1	9	8	1	1	0	0	1	0	102
Aug 2013	62	11	0	8	8	7	11	8	1	2	0	0	3	0	121
Jul 2013	76	15	1	6	13	2	6	4	0	0	0	0	0	1	124
Jun 2013	70	6	0	4	10	0	9	9	1	0	0	0	0	0	109
May 2013	60	6	0	4	10	6	21	7	2	2	0	1	1	1	121
Apr 2013	55	4	1	8	8	10	7	4			2	1		0	100
Mar 2013	39	3	0	2	10	5	5	7			1	1		3	76
Feb 2013	39	6	0	6	14	1	5	3			2	0		2	78
Jan 2013	59	5	0	3	10	4	7	2			0	1		2	93
Dec 2012	47	12	2	7	16	1	6	4			3	1		3	102
Nov 2012	33	8	1	3	14	1	6	3			1	1		7	78
Oct 2012	47	8	2	7	15	1	11	10			3	0		4	108
Sep 2012	61	15	0	9	14	3	14	4			1	3		4	128
Aug 2012	61	16	0	8	12	1	17	12			0	3		7	137
Jul 2012	69	20	0	8	15	2	11	7			1	0		2	135
Jun 2012	47	10	0	7	13	0	12	10			0	2		3	104
May 2012	55	14	4	7	14	0	16	4			1	1		3	119
Apr 2012	44	8	0	4	14	2	4	17			0	1		4	98
Mar 2012	55	9	0	3	14	2	7	10			1	2		5	108
Feb 2012	35	10	0	5	9	1	17	5			3	0		5	90
Jan 2012	33	8	2	2	16	0	15	11			1	0		1	89
Dec 2011	27	11	0	5	19	0	13	5			0	0		8	88
Nov 2011	55	6	1	6	24	1	17	10			2	1		4	127
Oct 2011	72	9	1	4	14	1	11	4			3	2		3	124
Sep 2011	65	7	1	4	29	4	9	14			7	4		2	146
Aug 2011	68	9	1	3	14	49									144
Jul 2011	62	7	2	7	15	37									130
Jun 2011	61	18	0	2	22	58									161
May 2011	87	14	1	3	19	57									181
Apr 2011	84	19	0	5	19	38									165
Mar 2011	56	14	1	1	16	43									131
Feb 2011	35	8	0	0	11	28									82
Jan 2011	62	8	0	3	10	28									111
Dec 2010	58	8	0	10	12	26									114

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 Danesholme

Crime Type and ASB Charts for Danesholme

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".