UKCrimeStats.com

Forest

Population: 14,988
Policed by: Leicestershire Police

Jump to: Maps | League Table | Crime Trends | Neighbourhood Team

Loading map...

Neighbourhood Picture

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

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Feb 2024	10	4	0	11	37	3	6	5	0	0	0	0	7	1	84
Jan 2024	12	3	1	8	23	8	10	9	5	0	1	1	7	3	91
Dec 2023	4	4	0	4	34	3	9	3	0	0	0	0	6	0	67
Nov 2023	2	6	0	5	26	3	10	5	2	0	0	0	8	3	70
Oct 2023	11	3	0	8	39	10	11	5	1	0	0	1	13	2	104
Sep 2023	7	4	0	6	43	6	10	5	2	0	0	2	8	5	98
Aug 2023	10	5	0	8	41	5	6	5	0	1	0	1	17	1	100
Jul 2023	14	8	0	6	43	2	17	6	1	0	1	1	7	3	109
Jun 2023	6	5	0	2	47	2	13	11	4	0	0	2	18	0	110
May 2023	5	4	0	8	41	1	10	10	2	0	2	0	16	5	104
Apr 2023	3	6	0	11	41	1	18	9	0	0	1	0	9	2	101
Mar 2023	4	2	1	12	51	5	13	4	2	0	2	1	17	3	117
Feb 2023	5	3	0	10	59	0	18	6	1	0	0	1	10	5	118
Jan 2023	10	4	0	20	55	1	13	8	3	0	0	1	10	4	129
Dec 2022	5	4	0	23	52	1	8	9	0	0	0	1	6	2	111
Nov 2022	0	2	0	15	49	1	12	7	0	0	0	1	7	5	99
Oct 2022	5	4	1	13	48	0	5	7	3	0	1	0	14	4	105
Sep 2022	4	3	0	9	52	0	7	4	1	0	0	0	9	2	91
Aug 2022	9	5	0	5	50	1	9	9	3	0	1	2	12	7	113
Jul 2022	9	4	0	1	38	3	12	8	1	0	0	1	5	5	87
Jun 2022	11	10	0	7	32	0	14	9	2	0	0	0	16	2	103
May 2022	15	2	0	3	49	1	14	15	1	0	0	1	13	5	119
Apr 2022	15	6	0	9	44	0	9	8	3	0	2	1	16	4	117
Mar 2022	15	3	0	9	51	0	8	3	6	0	0	1	6	5	107
Feb 2022	13	1	2	10	35	0	6	11	7	1	0	1	13	4	104
Jan 2022	8	4	0	7	39	0	4	11	0	0	0	0	11	6	90
Dec 2021	3	1	0	7	40	0	3	10	2	0	1	2	24	4	97
Nov 2021	7	2	0	7	49	1	10	6	0	0	0	1	11	2	96
Oct 2021	4	2	2	7	53	1	13	6	1	1	0	0	8	2	100
Sep 2021	10	3	1	5	21	2	9	9	0	0	0	0	11	4	75
Aug 2021	10	3	0	2	41	3	11	5	0	0	0	1	12	1	89
Jul 2021	9	0	1	7	36	0	17	11	2	0	0	0	10	2	95
Jun 2021	18	4	0	6	46	0	13	9	2	2	0	0	10	0	110
May 2021	8	1	0	5	32	0	13	7	2	0	0	1	17	1	87
Apr 2021	11	4	0	5	32	1	13	4	4	0	0	0	15	2	91
Mar 2021	19	1	0	2	32	2	13	7	0	0	0	1	8	2	87
Feb 2021	8	7	2	6	23	3	6	9	1	0	0	0	3	1	69
Jan 2021	11	3	0	15	28	1	10	5	2	0	0	1	5	1	82
Dec 2020	11	2	0	5	23	0	10	5	1	0	0	0	7	3	67
Nov 2020	6	5	0	9	19	4	8	8	5	0	0	0	9	0	73
Oct 2020	12	7	0	10	24	4	8	10	1	0	0	0	11	6	93
Sep 2020	18	3	0	7	27	0	11	8	5	0	0	0	7	2	88
Aug 2020	18	5	1	7	36	3	9	8	4	2	1	0	11	6	111
Jul 2020	26	4	0	13	43	6	13	11	3	2	0	0	12	1	134
Jun 2020	22	5	0	10	25	0	7	6	1	0	0	1	11	5	93
May 2020	21	7	0	11	34	0	12	4	1	0	0	1	8	1	100
Apr 2020	31	9	0	4	35	2	3	4	5	0	1	1	8	4	107
Mar 2020	18	8	0	2	29	2	10	4	0	0	0	0	6	3	82
Feb 2020	13	6	1	15	19	2	6	8	0	0	0	1	2	2	75
Jan 2020	20	13	0	24	35	13	10	7	1	1	2	0	14	3	143
Dec 2019	16	12	0	17	30	1	18	4	0	1	0	0	10	1	110
Nov 2019	10	8	0	16	17	1	7	7	2	0	0	0	7	1	76
Oct 2019	11	10	1	8	23	1	10	11	3	0	0	0	5	2	85
Sep 2019	11	3	1	12	18	2	15	13	2	0	0	2	4	1	84
Aug 2019	16	4	0	10	24	3	11	10	0	1	0	1	7	1	88
Jul 2019	15	6	0	11	25	1	14	10	3	1	2	0	7	2	97
Jun 2019	27	5	1	6	26	0	9	14	1	0	0	0	5	0	94
May 2019	24	13	0	17	27	4	16	14	3	0	0	0	5	4	127
Apr 2019	20	16	0	13	22	1	5	12	1	1	0	0	3	1	95
Mar 2019	19	9	0	9	29	2	8	14	0	0	1	0	4	2	97
Feb 2019	14	5	1	3	33	2	10	13	3	0	1	1	3	2	91
Jan 2019	17	6	0	5	18	3	6	6	0	0	1	1	7	2	72
Dec 2018	10	12	0	4	26	2	3	3	0	0	0	0	3	1	64
Nov 2018	13	13	0	4	16	1	4	5	1	0	0	1	3	1	62
Oct 2018	11	12	0	12	24	1	9	8	1	0	4	1	6	0	89
Sep 2018	9	7	0	5	32	2	12	7	4	1	0	1	8	1	89
Aug 2018	18	14	1	13	18	1	7	14	2	0	2	1	6	0	97
Jul 2018	27	9	0	9	20	0	8	10	0	1	1	1	6	1	93
Jun 2018	16	12	0	9	26	2	11	12	2	0	0	1	5	1	97
May 2018	27	10	0	7	26	1	9	7	3	0	1	0	8	4	103
Apr 2018	22	13	0	3	24	2	10	6	3	1	0	2	5	1	92
Mar 2018	18	17	2	11	27	0	8	12	1	0	0	0	4	1	101
Feb 2018	13	7	1	9	17	2	6	11	0	0	0	0	1	1	68
Jan 2018	12	18	0	2	22	0	8	10	3	1	0	0	6	0	82
Dec 2017	18	11	0	4	17	1	7	12	1	0	0	1	1	3	76
Nov 2017	13	22	1	9	17	1	3	9	0	0	0	0	4	1	80
Oct 2017	19	7	0	5	20	6	6	7	0	1	0	0	3	3	77
Sep 2017	14	25	0	4	13	3	5	5	1	0	0	1	2	0	73
Aug 2017	28	6	1	10	14	1	7	20	1	0	0	0	3	1	92
Jul 2017	19	14	0	10	14	4	16	15	0	2	0	0	3	0	97
Jun 2017	20	10	0	7	21	3	7	13	2	0	0	0	3	2	88
May 2017	27	16	0	11	30	1	9	8	1	0	0	1	1	3	108
Apr 2017	27	7	0	7	13	3	9	14	0	0	1	0	3	0	84
Mar 2017	12	4	2	7	30	3	4	22	1	1	0	2	3	1	92
Feb 2017	11	7	1	15	16	2	7	11	2	0	0	0	2	0	74
Jan 2017	10	13	0	5	10	2	2	9	1	0	0	0	0	0	52
Dec 2016	15	11	1	5	11	0	8	10	1	0	1	0	3	0	66
Nov 2016	13	10	0	4	22	2	9	8	1	0	0	0	4	0	73
Oct 2016	23	6	0	16	11	0	13	4	0	2	0	0	1	0	76
Sep 2016	32	2	0	5	16	1	8	4	0	0	0	0	4	0	72
Aug 2016	40	7	0	8	18	1	14	12	0	0	1	0	5	0	106
Jul 2016	40	11	0	1	16	2	11	6	1	2	0	1	3	1	95
Jun 2016	28	16	0	8	11	3	6	6	0	0	1	0	3	0	82
May 2016	20	6	0	5	16	7	4	8	1	2	0	0	4	0	73
Apr 2016	14	11	0	4	17	6	5	9	1	0	0	1	2	0	70
Mar 2016	20	8	0	8	6	2	10	9	1	0	0	1	1	2	68
Feb 2016	13	7	0	14	7	1	13	10	0	0	0	0	2	0	67
Jan 2016	21	8	0	11	8	2	8	6	1	0	0	0	0	0	65
Dec 2015	20	1	0	6	11	0	9	5	1	0	0	0	0	2	55
Nov 2015	8	7	0	5	11	1	4	8	3	0	0	0	0	3	50
Oct 2015	21	4	0	8	7	1	13	7	1	0	0	0	1	0	63
Sep 2015	32	3	0	12	6	1	9	4	1	0	0	0	0	0	68
Aug 2015	21	5	0	5	13	2	10	6	1	1	0	0	0	0	64
Jul 2015	27	8	0	8	10	1	3	7	0	1	1	0	1	1	68
Jun 2015	16	4	0	5	10	0	7	3	1	0	0	0	1	1	48
May 2015	22	4	1	11	8	3	7	8	0	0	1	0	1	0	66
Apr 2015	24	7	1	4	15	1	4	6	0	0	0	1	0	0	63
Mar 2015	19	8	0	14	8	3	6	12	2	0	0	1	2	1	76
Feb 2015	12	3	0	12	2	3	9	11	2	0	0	0	1	0	55
Jan 2015	6	4	0	4	13	1	6	12	0	1	0	0	1	0	48
Dec 2014	22	14	0	7	11	3	8	12	0	0	0	1	0	0	78
Nov 2014	17	3	0	6	11	5	14	8	1	0	0	0	3	1	69
Oct 2014	18	7	0	6	6	1	15	9	2	0	0	0	1	0	65
Sep 2014	28	7	0	6	9	1	12	2	1	1	0	0	0	0	67
Aug 2014	21	4	1	6	5	1	9	14	2	0	1	0	1	0	65
Jul 2014	32	3	0	2	11	0	6	9	1	1	0	0	4	0	69
Jun 2014	31	10	0	3	8	1	6	12	2	0	0	0	4	0	77
May 2014	49	8	0	6	10	0	6	12	0	2	0	1	0	1	95
Apr 2014	39	10	0	5	7	1	10	8	2	2	0	0	0	1	85
Mar 2014	43	4	0	6	7	2	8	4	5	0	0	2	1	0	82
Feb 2014	23	9	0	12	6	1	6	2	1	0	0	0	0	0	60
Jan 2014	24	12	0	7	8	7	14	6	6	0	0	0	2	0	86
Dec 2013	32	7	0	7	10	4	5	13	2	1	0	0	1	0	82
Nov 2013	21	5	0	4	11	2	7	6	3	0	0	0	0	1	60
Oct 2013	22	14	0	6	14	0	9	9	0	0	0	0	0	0	74
Sep 2013	28	7	1	1	8	4	7	3	1	1	1	0	2	0	64
Aug 2013	32	6	0	4	17	8	11	6	0	0	0	0	1	0	85
Jul 2013	34	9	1	1	5	4	8	14	2	0	0	0	9	1	88
Jun 2013	30	8	0	2	12	1	10	6	3	0	2	0	1	1	76
May 2013	24	4	0	6	14	4	8	6	6	0	0	0	1	0	73
Apr 2013	15	3	1	4	16	2	6	8			1	1		8	65
Mar 2013	23	7	0	2	6	1	5	9			2	2		4	61
Feb 2013	15	4	0	2	5	2	2	6			2	2		6	46
Jan 2013	22	12	0	5	7	0	7	6			2	2		1	64
Dec 2012	11	11	0	6	5	2	5	3			1	3		1	48
Nov 2012	11	7	0	4	8	3	4	5			4	0		2	48
Oct 2012	19	4	0	2	11	0	3	3			4	0		6	52
Sep 2012	22	9	1	4	14	2	10	4			1	1		2	70
Aug 2012	34	5	0	4	9	2	10	11			1	5		4	85
Jul 2012	29	8	0	2	7	0	9	6			5	1		2	69
Jun 2012	18	9	1	4	6	3	14	12			1	2		8	78
May 2012	28	6	0	5	12	15	8	8			5	2		5	94
Apr 2012	26	3	0	23	12	1	9	10			3	3		9	99
Mar 2012	27	8	0	9	8	0	19	13			0	1		2	87
Feb 2012	33	9	0	2	11	2	15	7			1	0		4	84
Jan 2012	13	15	0	4	6	1	9	14			1	2		5	70
Dec 2011	20	5	0	7	11	2	15	12			1	2		9	84
Nov 2011	20	7	0	3	8	0	16	8			3	1		9	75
Oct 2011	33	12	0	4	7	0	21	10			1	3		3	94
Sep 2011	30	7	0	7	7	1	13	16			2	3		7	93
Aug 2011	38	13	1	6	6	35									99
Jul 2011	36	6	0	5	9	40									96
Jun 2011	33	4	0	2	12	41									92
May 2011	31	12	2	5	10	32									92
Apr 2011	44	6	0	8	15	25									98
Mar 2011	26	6	0	7	11	25									75
Feb 2011	24	7	0	5	16	34									86
Jan 2011	24	13	0	7	9	31									84
Dec 2010	26	10	0	4	14	22									76

Crime Plus ASB Breakdown for Forest

©Copyright UKCrimeStats.com

©Copyright UKCrimeStats.com

Crime Type and ASB Charts for Forest

©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

The Forest neighbourhood beat lies in the heart of the National Forest and covers a number of villages including Appleby Parva, Appleby Magna, Chilcote, Measham, Newton Burgoland, Snarestone, Stretton en le Field, Swepstone, Moira, Blackfordby, Albert Village, Spring Cottage, Donisthorpe, Oakthorpe and Acresford.

The beat has a number of retail and industrial premises as well as a large agricultural community.