Somercotes County Ward

Somercotes, England

County Ward located within Derbyshire County Council

Residential Population: 12,085 (mid-2013 estimate)

Males: 5,978

Females: 6,107

Land Area: 1201.259 Hectares

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Crime in Somercotes

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Jan 2024	11	4	1	4	47	18	10	2	6	0	0	1	7	8	119
Dec 2023	8	2	0	2	61	2	10	1	3	1	0	2	10	1	103
Nov 2023	20	1	0	2	43	3	8	5	4	0	0	2	9	0	97
Oct 2023	13	2	0	6	72	9	11	5	3	0	1	1	5	2	130
Sep 2023	29	0	0	7	33	7	9	7	1	1	1	1	19	2	117
Aug 2023	22	3	0	1	50	6	10	7	5	2	0	0	11	5	122
Jul 2023	27	4	1	6	60	11	13	4	3	0	1	1	13	5	149
Jun 2023	25	4	0	7	77	4	9	8	1	0	1	2	23	2	163
May 2023	35	6	2	3	78	6	11	4	3	1	1	2	16	3	171
Apr 2023	29	4	1	8	43	8	20	6	0	1	0	0	15	1	136
Mar 2023	41	4	0	11	69	4	14	6	4	0	0	3	13	1	170
Feb 2023	35	2	2	3	50	9	15	3	1	0	0	1	24	3	148
Jan 2023	22	6	4	6	53	4	4	7	1	0	1	1	13	3	125
Dec 2022	25	0	0	5	41	7	16	5	1	0	0	0	3	3	106
Nov 2022	23	1	0	5	47	8	9	6	3	0	0	0	15	2	119
Oct 2022	42	7	0	1	40	9	12	8	1	1	1	0	16	2	140
Sep 2022	29	3	0	3	62	3	15	7	1	0	1	0	14	0	138
Aug 2022	44	4	0	9	54	9	8	11	3	1	1	3	9	1	157
Jul 2022	76	4	1	2	81	12	15	4	2	1	2	0	20	2	222
Jun 2022	44	8	2	5	67	14	12	10	1	3	0	2	18	3	189
May 2022	35	6	1	10	52	9	13	7	1	1	1	1	14	4	155
Apr 2022	40	5	0	4	48	7	20	5	7	0	0	4	14	3	157
Mar 2022	30	2	0	0	44	5	11	5	0	0	1	0	16	0	114
Feb 2022	15	5	1	5	41	4	7	9	1	0	1	1	5	6	101
Jan 2022	23	3	2	5	64	6	6	6	2	0	0	0	12	1	130
Dec 2021	30	7	1	14	52	4	11	3	3	0	1	1	9	1	137
Nov 2021	39	5	0	22	55	2	9	4	2	0	0	3	7	1	149
Oct 2021	25	2	0	8	64	6	17	3	1	1	0	0	14	1	142
Sep 2021	31	3	0	4	35	10	11	5	6	1	0	2	9	3	120
Aug 2021	41	7	1	6	31	2	17	14	1	0	0	2	12	1	135
Jul 2021	33	1	0	4	45	0	14	6	2	0	0	0	15	2	122
Jun 2021	52	5	3	2	76	10	13	4	2	1	1	2	18	5	194
May 2021	53	4	2	6	54	13	10	5	3	0	0	1	12	1	164
Apr 2021	59	4	1	5	59	4	10	6	2	0	0	0	18	3	171
Mar 2021	56	4	0	5	58	6	16	3	0	0	0	0	15	3	166
Feb 2021	63	1	0	7	50	4	6	3	0	0	1	3	12	3	153
Jan 2021	55	4	0	4	41	9	4	5	3	0	0	0	9	3	137
Dec 2020	37	3	0	5	51	7	7	5	3	0	0	1	14	0	133
Nov 2020	49	5	0	7	42	10	14	5	4	0	0	2	11	5	154
Oct 2020	37	7	1	2	36	5	8	7	3	0	0	2	6	6	120
Sep 2020	28	1	0	2	52	10	9	6	3	0	0	0	16	1	128
Aug 2020	33	0	0	3	54	14	10	6	1	0	1	0	8	3	133
Jul 2020	48	6	0	2	63	5	12	4	5	0	2	6	13	4	170
Jun 2020	55	4	1	7	50	2	15	3	4	1	0	5	10	1	158
May 2020	133	2	0	5	47	4	13	7	5	2	0	1	14	6	239
Apr 2020	86	3	1	1	39	1	11	13	0	0	0	2	10	4	171
Mar 2020	34	6	0	6	56	5	11	2	0	0	1	0	10	2	133
Feb 2020	22	4	0	4	39	3	7	5	3	0	0	0	13	4	104
Jan 2020	37	4	0	6	69	4	11	4	2	0	0	0	16	5	158
Dec 2019	31	10	0	2	50	4	18	9	1	0	2	1	6	2	136
Nov 2019	30	5	3	9	47	5	10	6	0	0	0	0	12	2	129
Oct 2019	19	10	0	5	45	12	11	4	2	0	0	2	9	7	126
Sep 2019	25	16	1	10	42	7	13	7	2	0	1	1	4	1	130
Aug 2019	37	7	0	4	35	10	19	3	1	3	0	1	9	1	130
Jul 2019	46	8	0	9	47	9	19	11	3	1	0	2	17	4	176
Jun 2019	29	4	1	4	47	6	12	9	1	1	1	0	7	4	126
May 2019	47	11	1	9	35	10	13	2	1	2	0	1	2	0	134
Apr 2019	40	10	0	5	33	3	16	5	3	1	0	2	2	2	122
Mar 2019	33	1	1	8	30	18	20	8	1	0	0	1	7	2	130
Feb 2019	32	3	0	4	38	2	6	0	1	1	0	0	2	4	93
Jan 2019	21	4	0	8	32	6	9	6	1	0	0	1	1	0	89
Dec 2018	29	7	1	5	29	9	10	6	0	0	0	0	2	0	98
Nov 2018	28	1	2	15	37	3	9	8	3	0	1	2	7	2	118
Oct 2018	45	2	0	7	30	10	18	4	3	2	1	0	0	1	123
Sep 2018	48	11	0	6	35	8	10	7	1	0	1	1	3	1	132
Aug 2018	53	4	0	4	12	6	17	4	0	0	0	0	1	0	101
Jul 2018	58	7	0	10	26	4	17	7	4	0	1	3	1	2	140
Jun 2018	44	11	1	6	37	5	29	9	1	0	0	1	1	2	147
May 2018	60	4	0	6	37	10	12	6	0	0	0	0	4	0	139
Apr 2018	37	8	1	9	20	12	8	6	1	0	1	0	1	1	105
Mar 2018	39	3	0	3	21	5	12	6	3	0	0	2	4	3	101
Feb 2018	34	4	0	3	17	4	11	3	1	2	0	0	2	0	81
Jan 2018	27	7	0	3	17	15	11	7	6	2	0	1	1	1	98
Dec 2017	26	4	0	8	14	5	13	2	1	1	0	0	0	0	74
Nov 2017	42	3	2	15	15	12	12	4	0	1	0	0	1	0	107
Oct 2017	44	7	1	8	19	6	10	5	3	0	1	1	2	0	107
Sep 2017	47	8	1	1	23	2	9	7	1	0	0	0	0	1	100
Aug 2017	50	9	2	2	18	19	11	10	4	1	0	0	0	1	127
Jul 2017	59	4	0	3	17	12	12	6	2	1	0	0	1	2	119
Jun 2017	47	9	0	11	19	14	11	10	1	3	1	0	0	1	127
May 2017	28	7	1	5	14	18	11	7	0	1	0	0	2	0	94
Apr 2017	50	4	0	0	12	3	7	4	1	0	0	0	0	0	81
Mar 2017	35	5	0	3	17	8	6	8	1	0	1	0	2	0	86
Feb 2017	31	7	0	4	15	5	8	8	3	0	1	1	0	1	84
Jan 2017	27	6	0	15	11	8	10	10	1	0	0	0	1	1	90
Dec 2016	40	7	0	8	19	8	12	4	0	0	0	1	1	3	103
Nov 2016	30	6	0	5	14	18	7	3	4	2	0	1	0	0	90
Oct 2016	40	11	0	10	15	11	10	10	1	0	0	0	0	0	108
Sep 2016	48	17	0	4	13	15	15	8	1	2	0	1	1	0	125
Aug 2016	52	4	1	1	20	4	18	13	4	0	0	1	0	0	118
Jul 2016	61	8	0	5	13	4	21	8	1	0	0	0	3	1	125
Jun 2016	61	11	0	9	22	3	6	4	2	1	0	1	2	0	122
May 2016	81	14	0	4	20	9	21	10	2	0	1	0	2	0	164
Apr 2016	47	6	0	7	13	1	7	5	0	0	0	1	1	1	89
Mar 2016	57	13	1	9	22	9	13	2	3	2	0	0	1	1	133
Feb 2016	42	9	0	11	22	8	15	7	2	0	0	1	3	2	122
Jan 2016	46	6	0	4	8	5	13	4	4	0	0	1	2	2	95
Dec 2015	43	9	1	1	9	6	13	3	4	2	0	1	3	1	96
Nov 2015	45	7	0	4	15	4	12	7	3	0	0	0	1	2	100
Oct 2015	60	7	0	12	20	6	18	7	0	0	0	0	3	0	133
Sep 2015	62	7	0	6	17	6	17	5	1	0	1	0	5	1	128
Aug 2015	71	5	0	9	11	3	22	3	1	1	0	0	0	2	128
Jul 2015	75	4	0	6	33	10	17	5	3	1	0	1	2	2	159
Jun 2015	70	14	0	7	22	5	13	11	1	1	0	0	1	1	146
May 2015	54	4	0	7	16	1	12	6	1	2	0	0	1	2	106
Apr 2015	57	8	1	10	22	5	21	11	2	0	1	1	2	0	141
Mar 2015	65	6	0	5	12	2	17	3	3	0	0	2	0	1	116
Feb 2015	42	11	1	8	11	9	5	7	2	0	0	0	0	2	98
Jan 2015	46	9	0	12	14	2	13	7	9	1	1	2	0	2	118
Dec 2014	58	12	1	5	12	5	13	11	1	0	0	0	1	2	121
Nov 2014	47	8	2	13	9	14	16	9	2	0	0	0	2	3	125
Oct 2014	62	13	0	11	19	4	15	6	2	0	2	1	2	2	139
Sep 2014	47	4	1	3	16	4	8	10	2	2	0	0	0	1	98
Aug 2014	45	6	0	7	21	3	15	6	3	0	0	2	0	1	109
Jul 2014	75	4	0	9	18	17	12	11	2	1	0	1	2	0	152
Jun 2014	83	9	1	10	8	5	11	8	4	0	1	2	2	0	144
May 2014	58	8	0	9	17	6	16	11	3	1	0	0	1	1	131
Apr 2014	54	4	0	7	11	5	15	10	2	0	0	0	0	1	109
Mar 2014	41	13	0	9	10	6	15	10	2	0	0	1	0	0	107
Feb 2014	33	12	0	10	10	4	5	8	1	2	1	0	0	0	86
Jan 2014	32	13	1	8	10	15	12	5	0	0	0	0	1	1	98
Dec 2013	50	5	0	18	8	15	15	8	2	2	1	0	0	1	125
Nov 2013	38	5	0	6	6	4	10	7	7	0	0	0	1	1	85
Oct 2013	50	8	0	18	8	10	8	9	4	2	0	0	2	0	119
Sep 2013	56	11	1	14	11	6	8	8	1	0	0	0	0	2	118
Aug 2013	57	13	0	5	13	14	9	9	2	1	1	0	1	0	125
Jul 2013	72	11	0	8	9	8	8	6	0	2	0	1	0	1	126
Jun 2013	68	19	1	7	8	5	16	6	0	4	1	0	1	3	139
May 2013	55	6	0	9	13	7	13	14	0	1	0	1	1	0	120
Apr 2013	55	29	0	8	11	26	8	6			3	0		1	147
Mar 2013	49	18	1	3	14	12	12	6			4	2		0	121
Feb 2013	47	5	0	3	10	6	11	5			4	2		2	95
Jan 2013	51	9	0	2	11	4	13	4			2	2		1	99
Dec 2012	40	10	0	8	3	5	18	4			0	0		1	89
Nov 2012	47	12	5	4	11	1	13	7			1	1		0	102
Oct 2012	60	7	0	12	10	3	10	9			5	1		2	119
Sep 2012	57	5	0	10	14	1	9	12			0	0		1	109
Aug 2012	63	11	0	12	24	2	7	8			3	1		0	131
Jul 2012	64	10	1	11	11	5	12	9			2	1		0	126
Jun 2012	72	12	0	9	14	5	2	13			0	2		0	129
May 2012	79	6	3	5	9	10	20	15			3	1		3	154
Apr 2012	60	12	0	6	16	8	8	11			2	0		4	127
Mar 2012	82	5	0	10	13	3	14	8			3	5		4	147
Feb 2012	59	7	0	4	14	5	12	11			1	3		0	116
Jan 2012	66	9	0	4	12	3	12	10			1	0		5	122
Dec 2011	39	8	1	6	15	8	15	5			2	2		2	103
Nov 2011	56	10	0	2	20	0	14	11			7	0		3	123
Oct 2011	58	21	0	7	14	2	23	10			3	0		1	139
Sep 2011	76	19	0	4	13	4	18	7			3	7		0	151
Aug 2011	63	11	1	9	13	53									150
Jul 2011	76	9	0	5	16	37									143
Jun 2011	69	20	1	4	21	42									157
May 2011	52	12	1	5	23	48									141
Apr 2011	57	11	0	4	18	34									124
Mar 2011	75	12	1	3	15	38									144
Feb 2011	42	14	0	8	16	46									126
Jan 2011	48	12	1	5	15	41									122
Dec 2010	43	4	0	4	14	25									90

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 Somercotes

Crime Type and ASB Charts for Somercotes

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".