Crime in Belper Town

Belper Town

Population: 16,168
Policed by: Derbyshire Constabulary

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The following table and graphs show you crime and ASB breakdowns and trends for Belper Town.

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Jan 2024	8	0	0	2	21	3	6	5	2	0	2	0	4	2	55
Dec 2023	7	0	0	3	18	4	11	2	1	0	0	0	4	3	53
Nov 2023	13	3	0	1	33	3	3	8	1	0	0	1	1	0	67
Oct 2023	12	2	0	0	38	5	4	6	0	0	0	2	14	0	83
Sep 2023	14	2	0	4	42	8	3	4	2	0	1	1	8	3	92
Aug 2023	24	3	0	1	29	4	1	7	3	1	2	0	5	0	80
Jul 2023	19	2	2	2	38	2	7	6	4	1	1	0	9	7	100
Jun 2023	14	2	1	1	37	4	4	7	0	0	2	0	16	2	90
May 2023	23	3	1	2	36	6	9	5	0	1	1	0	7	0	94
Apr 2023	19	2	0	5	36	4	9	8	1	1	0	1	9	2	97
Mar 2023	25	2	0	4	26	5	14	6	1	0	1	2	11	2	99
Feb 2023	17	4	1	3	26	2	10	6	4	0	2	1	3	3	82
Jan 2023	18	0	0	2	31	2	9	10	1	0	0	1	4	1	79
Dec 2022	12	3	0	0	40	1	9	7	1	0	2	1	8	2	86
Nov 2022	14	2	0	2	30	4	8	7	1	1	2	0	5	3	79
Oct 2022	18	0	0	2	29	1	11	1	1	0	0	0	9	0	72
Sep 2022	14	1	1	2	31	2	4	1	0	0	1	0	7	0	64
Aug 2022	26	1	1	5	21	2	6	6	1	0	0	0	8	0	77
Jul 2022	23	5	1	1	29	2	6	3	1	0	0	0	11	0	82
Jun 2022	20	3	0	1	30	1	11	5	1	0	0	0	5	1	78
May 2022	21	2	0	0	18	2	6	3	0	0	0	0	6	1	59
Apr 2022	16	0	0	2	22	5	5	2	2	0	0	0	5	3	62
Mar 2022	18	1	1	1	29	4	7	8	0	0	1	0	5	1	76
Feb 2022	13	3	0	1	36	2	0	1	0	0	0	0	9	0	65
Jan 2022	13	0	0	2	31	2	6	2	0	0	0	1	7	0	64
Dec 2021	16	4	0	0	20	4	7	3	0	0	1	0	7	0	62
Nov 2021	12	4	0	6	29	5	7	2	0	1	1	0	9	1	77
Oct 2021	23	2	0	2	30	5	5	5	0	0	0	0	12	0	84
Sep 2021	12	1	0	2	15	5	7	2	1	0	0	1	5	0	51
Aug 2021	23	3	1	2	17	2	7	7	0	0	1	0	4	0	67
Jul 2021	32	0	1	1	29	2	5	2	2	0	0	0	5	1	80
Jun 2021	42	5	1	1	31	4	3	1	1	1	0	1	8	1	100
May 2021	44	2	0	5	35	4	4	6	1	0	0	1	6	1	109
Apr 2021	48	4	0	1	21	2	1	5	1	0	0	0	6	0	89
Mar 2021	37	1	0	3	28	1	7	3	0	0	0	0	11	0	91
Feb 2021	35	1	0	2	23	4	6	4	1	0	1	0	7	1	85
Jan 2021	25	0	0	1	30	4	5	7	0	0	1	0	4	1	78
Dec 2020	25	5	0	2	27	7	4	4	2	0	0	2	4	1	83
Nov 2020	27	3	0	5	26	5	5	4	5	0	0	0	6	0	86
Oct 2020	23	5	0	3	25	4	6	4	3	0	1	0	5	3	82
Sep 2020	37	3	0	6	23	2	12	3	0	0	0	1	6	2	95
Aug 2020	25	6	0	7	28	4	13	4	1	0	0	0	12	2	102
Jul 2020	40	2	2	4	24	1	104	2	0	2	0	0	11	1	193
Jun 2020	93	6	0	2	32	2	38	4	2	1	0	2	11	0	193
May 2020	100	2	0	6	22	0	3	4	0	0	0	0	7	0	144
Apr 2020	47	0	0	3	17	0	3	2	1	0	1	0	4	1	79
Mar 2020	33	4	0	3	25	1	7	4	2	1	1	0	3	2	86
Feb 2020	28	3	1	5	20	5	11	8	0	0	0	0	6	1	88
Jan 2020	28	1	0	8	21	5	8	5	0	0	0	0	3	1	80
Dec 2019	30	0	0	6	23	5	11	3	3	0	0	0	7	2	90
Nov 2019	20	1	0	9	18	6	9	5	0	0	0	1	6	1	76
Oct 2019	28	4	0	4	29	7	6	4	1	1	0	1	6	1	92
Sep 2019	18	6	0	6	27	6	10	8	2	1	0	0	5	1	90
Aug 2019	30	4	0	5	43	4	12	3	1	0	1	1	9	1	114
Jul 2019	30	5	0	6	27	5	12	4	0	1	0	1	3	1	95
Jun 2019	36	8	1	10	26	7	9	6	0	3	1	2	11	1	121
May 2019	43	3	1	11	30	10	9	5	1	0	0	0	11	2	126
Apr 2019	35	0	1	3	11	9	11	6	3	0	0	0	1	2	82
Mar 2019	32	2	1	5	16	35	10	4	0	0	1	0	1	0	107
Feb 2019	40	1	0	1	15	13	10	7	0	1	1	0	1	0	90
Jan 2019	51	6	0	8	14	9	12	10	0	0	0	0	2	0	112
Dec 2018	27	2	1	6	22	15	6	5	1	0	1	0	1	0	87
Nov 2018	29	3	0	4	16	3	4	6	0	0	1	1	4	0	71
Oct 2018	24	5	0	12	9	4	11	6	0	2	0	1	0	1	75
Sep 2018	25	4	1	1	10	8	8	4	0	0	0	1	1	1	64
Aug 2018	35	3	0	3	8	7	10	3	1	1	0	0	0	2	73
Jul 2018	41	4	0	5	12	9	10	4	5	0	1	2	1	0	94
Jun 2018	23	3	0	8	19	8	15	7	0	0	0	0	3	0	86
May 2018	38	3	0	9	12	10	10	5	1	2	1	0	0	4	95
Apr 2018	27	3	0	1	11	5	5	5	2	1	1	0	0	2	63
Mar 2018	39	3	1	5	18	3	5	9	2	0	1	0	1	0	87
Feb 2018	31	7	0	0	10	9	4	3	2	0	0	0	2	2	70
Jan 2018	38	6	0	3	6	14	10	5	0	0	1	0	2	2	87
Dec 2017	33	8	1	2	10	14	5	6	5	0	2	0	0	1	87
Nov 2017	29	1	0	3	12	8	5	3	1	1	3	1	3	0	70
Oct 2017	45	9	0	2	9	4	11	10	2	0	0	0	3	1	96
Sep 2017	40	8	0	4	12	9	16	11	1	1	2	0	4	0	108
Aug 2017	45	7	1	11	15	9	7	6	1	3	0	0	1	0	106
Jul 2017	44	5	0	5	12	11	7	8	4	1	1	1	1	2	102
Jun 2017	50	2	0	3	12	5	13	2	1	0	0	0	1	1	90
May 2017	47	9	0	5	8	15	17	1	3	1	0	0	1	0	107
Apr 2017	39	4	0	3	7	5	16	6	0	0	2	0	0	2	84
Mar 2017	44	4	0	2	11	4	7	1	2	1	0	0	1	1	78
Feb 2017	34	3	0	7	3	1	8	5	2	0	0	0	0	3	66
Jan 2017	18	6	0	7	13	4	5	6	3	0	0	0	0	1	63
Dec 2016	37	4	0	3	16	9	2	3	1	0	0	0	0	8	83
Nov 2016	23	1	1	7	8	8	4	5	2	0	0	0	3	0	62
Oct 2016	30	4	0	1	15	11	10	5	4	1	1	1	2	1	86
Sep 2016	35	1	0	10	13	5	3	5	2	0	0	0	0	0	74
Aug 2016	44	5	0	6	20	5	10	5	0	0	0	0	3	1	99
Jul 2016	48	3	0	0	6	7	0	7	6	0	0	0	0	2	79
Jun 2016	42	5	1	2	12	10	6	8	2	0	0	0	1	2	91
May 2016	29	1	0	1	11	9	2	4	3	0	0	0	0	0	60
Apr 2016	43	8	0	0	11	7	5	6	4	2	3	1	0	2	92
Mar 2016	37	3	0	2	9	8	10	6	2	0	1	0	0	2	80
Feb 2016	33	3	0	14	8	6	8	3	3	0	1	0	2	5	86
Jan 2016	32	9	1	8	6	3	9	2	6	0	0	1	1	0	78
Dec 2015	28	4	0	4	13	6	8	3	3	0	0	1	1	1	72
Nov 2015	21	3	0	7	10	11	2	6	3	0	2	0	0	0	65
Oct 2015	42	3	0	8	14	5	13	7	4	0	3	0	0	0	99
Sep 2015	45	1	0	3	10	5	6	6	4	0	1	0	1	1	83
Aug 2015	33	3	0	4	12	4	5	6	2	1	0	0	3	3	76
Jul 2015	50	8	1	6	9	4	9	11	2	0	1	1	1	1	104
Jun 2015	54	8	0	7	18	2	7	12	5	0	0	0	1	0	114
May 2015	52	10	0	3	21	17	12	8	5	0	0	0	0	0	128
Apr 2015	60	1	0	12	15	5	10	7	1	1	0	0	0	0	112
Mar 2015	44	10	0	14	13	4	7	9	1	0	0	0	1	0	103
Feb 2015	40	3	0	4	14	4	6	10	1	1	2	0	0	0	85
Jan 2015	25	4	0	0	5	6	8	4	4	0	0	0	0	1	57
Dec 2014	32	4	0	1	7	11	5	9	2	0	2	0	0	4	77
Nov 2014	37	8	0	2	10	15	37	8	2	0	0	0	0	0	119
Oct 2014	40	9	0	8	6	6	14	14	2	0	0	0	1	2	102
Sep 2014	45	3	1	12	9	7	9	5	7	1	2	0	0	1	102
Aug 2014	54	2	0	2	10	2	18	7	0	0	1	1	0	0	97
Jul 2014	53	5	0	11	10	8	11	5	2	0	0	0	0	2	107
Jun 2014	50	4	0	6	10	11	8	6	6	0	2	0	1	0	104
May 2014	46	8	0	9	10	14	9	7	1	0	0	1	0	0	105
Apr 2014	53	8	0	1	9	4	15	5	3	0	2	0	0	2	102
Mar 2014	39	7	0	2	12	12	18	3	1	0	1	0	1	1	97
Feb 2014	31	1	0	7	8	6	5	3	0	0	1	0	1	1	64
Jan 2014	40	6	1	5	7	8	17	5	2	0	2	0	0	0	93
Dec 2013	36	8	0	1	10	16	21	6	1	0	2	1	0	0	102
Nov 2013	30	11	0	5	8	7	12	6	2	0	0	0	0	0	81
Oct 2013	57	7	0	6	10	6	9	8	0	1	0	0	1	0	105
Sep 2013	64	12	0	9	4	4	12	12	1	2	0	1	1	0	122
Aug 2013	49	11	1	2	8	5	7	10	0	0	2	0	0	1	96
Jul 2013	60	0	0	5	9	3	8	4	2	0	1	1	1	0	94
Jun 2013	55	13	0	4	5	5	8	13	2	1	2	0	2	1	111
May 2013	44	9	1	5	6	6	11	14	2	0	1	0	1	0	100
Apr 2013	41	8	0	6	14	4	6	7			0	1		0	87
Mar 2013	43	6	0	4	5	4	16	9			0	1		0	88
Feb 2013	36	3	0	6	5	9	9	7			5	2		0	82
Jan 2013	51	6	0	7	10	6	13	7			0	0		1	101
Dec 2012	30	12	0	7	10	10	13	6			3	0		2	93
Nov 2012	38	7	0	2	9	6	1	15			0	0		1	79
Oct 2012	55	3	0	3	6	8	14	5			0	0		0	94
Sep 2012	50	8	1	6	13	4	7	5			3	3		3	103
Aug 2012	58	9	0	11	10	3	14	13			3	2		3	126
Jul 2012	44	4	0	9	8	2	11	8			2	0		2	90
Jun 2012	39	10	0	6	12	5	10	9			4	2		2	99
May 2012	52	4	0	6	12	6	6	15			8	0		1	110
Apr 2012	44	5	0	7	9	5	12	10			2	1		1	96
Mar 2012	49	2	0	2	6	11	6	17			0	0		2	95
Feb 2012	44	4	0	4	9	3	6	20			1	0		1	92
Jan 2012	48	15	1	4	12	3	16	16			3	3		5	126
Dec 2011	32	17	0	8	8	7	5	4			2	2		3	88
Nov 2011	33	8	0	1	8	8	8	8			0	0		5	79
Oct 2011	50	16	0	3	9	5	15	3			3	1		0	105
Sep 2011	46	11	0	5	8	4	13	10			1	4		4	106
Aug 2011	59	19	0	3	16	18									115
Jul 2011	68	6	1	12	10	28									125
Jun 2011	56	9	0	15	12	35									127
May 2011	41	18	0	9	12	25									105
Apr 2011	68	3	0	0	8	30									109
Mar 2011	42	2	0	3	11	31									89
Feb 2011	38	7	0	5	11	27									88
Jan 2011	47	5	0	7	7	29									95
Dec 2010	53	9	4	3	3	22									94

Crime Plus ASB Breakdown for Belper Town

©Copyright UKCrimeStats.com

©Copyright UKCrimeStats.com

Crime Type and ASB Charts for Belper Town

©Copyright UKCrimeStats.com

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.

©Copyright UKCrimeStats.com

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".

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.

Neighbourhood Team

No police officers found

This Safer Neighbourhood area covers Belper Town. It belongs to the Amber Valley policing section.

Belper is a small, attractive market town within the Amber Valley Borough Council area and is situated eight miles north of Derby. The River Derwent and A6 trunk road run along the western edge of the town.

The railway makes an interesting feature in the town centre as its bridges were built by George Stevenson.