GL6 Postcode District

GL6, Stroud

Get full Postcode District Crime Report for GL6 for just £3.99 - learn more

Get full Postcode District Crime Report for GL6 for just
£3.99 - learn more

Nailsworth, Painswick

Residential Population: 24,491

Population Density: 1.74 Persons per Hectare

Land Area: 14092.38 Hectares

Daytime Population: 21,435

Population Density: 1.52 Persons per Hectare

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Crime in GL6, Stroud

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Feb 2024	11	11	0	6	35	6	3	7	1	0	0	0	6	4	90
Jan 2024	7	6	0	2	38	1	6	9	2	0	0	6	4	3	84
Dec 2023	18	7	0	4	32	2	7	9	1	2	1	0	7	4	94
Nov 2023	12	16	0	6	44	0	3	8	0	0	0	0	4	4	97
Oct 2023	10	6	1	1	32	3	5	7	0	0	1	0	12	3	81
Sep 2023	13	6	0	6	44	4	10	9	0	0	0	0	10	5	107
Aug 2023	14	4	0	0	53	3	10	12	0	0	0	0	10	1	107
Jul 2023	21	6	0	5	32	1	6	6	0	0	0	0	8	8	93
Jun 2023	19	8	0	4	39	0	3	5	0	2	1	0	14	2	97
May 2023	9	11	1	1	28	0	1	7	4	0	0	0	5	5	72
Apr 2023	9	5	0	2	37	2	7	1	1	0	1	0	14	1	80
Mar 2023	20	7	0	2	32	2	11	13	1	2	0	0	6	2	98
Feb 2023	16	6	0	6	28	4	7	6	0	1	0	0	5	1	80
Jan 2023	13	3	0	5	29	0	6	8	0	0	0	0	3	3	70
Dec 2022	13	14	0	2	31	4	6	9	2	0	0	0	8	3	92
Nov 2022	16	7	0	2	39	0	5	6	0	0	0	0	6	3	84
Oct 2022	14	3	0	2	53	3	7	12	0	1	0	0	10	4	109
Sep 2022	17	3	0	2	45	1	8	14	1	0	1	1	7	0	100
Aug 2022	16	7	0	7	44	1	13	5	1	1	0	0	10	1	106
Jul 2022	16	5	0	6	68	4	6	13	1	0	0	0	19	1	139
Jun 2022	9	4	0	1	30	0	1	5	1	1	0	1	8	6	67
May 2022	9	5	2	1	57	0	12	5	2	0	0	2	14	2	111
Apr 2022	11	0	0	2	36	0	17	8	2	0	0	0	8	1	85
Mar 2022	7	6	0	4	50	0	8	8	0	0	0	2	13	3	101
Feb 2022	11	4	0	1	29	1	6	3	1	0	0	2	4	2	64
Jan 2022	17	3	0	4	23	1	8	3	2	0	0	0	6	2	69
Dec 2021	19	4	1	6	33	0	5	4	0	0	0	0	1	1	74
Nov 2021	23	1	0	3	39	3	7	6	1	0	0	0	2	3	88
Oct 2021	24	2	0	3	45	0	17	3	0	0	0	0	9	6	109
Sep 2021	35	4	0	4	31	0	19	9	0	0	0	4	7	1	114
Aug 2021	50	3	0	2	31	1	10	4	1	1	1	0	8	1	113
Jul 2021	48	8	0	4	19	3	12	11	1	1	0	0	6	1	114
Jun 2021	39	9	0	1	34	1	10	4	1	2	0	0	9	2	112
May 2021	47	1	0	0	30	2	7	4	0	0	0	2	8	0	101
Apr 2021	59	3	0	1	17	1	4	2	2	0	0	0	3	6	98
Mar 2021	68	4	0	7	39	0	6	5	1	1	1	0	3	1	136
Feb 2021	59	1	0	3	33	0	4	2	2	0	0	0	4	0	108
Jan 2021	93	7	1	1	42	1	8	2	1	2	1	1	4	3	167
Dec 2020	46	3	1	1	16	0	2	4	1	0	0	0	5	0	79
Nov 2020	60	0	0	3	23	2	5	3	2	0	0	0	2	2	102
Oct 2020	38	2	0	4	21	2	8	4	4	2	0	1	5	2	93
Sep 2020	36	6	0	3	41	3	7	7	1	0	0	1	2	2	109
Aug 2020	45	4	0	1	22	1	6	4	1	1	0	0	2	1	88
Jul 2020	58	0	1	5	29	3	8	4	1	1	0	0	10	0	120
Jun 2020	75	3	0	4	38	0	9	9	0	0	0	1	13	1	153
May 2020	118	11	0	3	31	1	7	8	1	2	0	1	15	2	200
Apr 2020	131	3	0	2	16	0	4	4	3	0	0	0	2	0	165
Mar 2020	48	8	3	3	20	0	13	10	2	0	1	0	2	0	110
Feb 2020	26	7	2	3	26	4	9	6	3	1	1	0	3	0	91
Jan 2020	31	8	0	7	28	1	12	3	1	1	0	0	5	0	97
Dec 2019	25	7	0	2	32	2	8	10	1	0	0	0	6	1	94
Nov 2019	27	1	0	4	44	2	3	6	1	0	0	1	6	1	96
Oct 2019	41	16	3	5	36	5	7	6	4	0	2	0	3	3	131
Sep 2019	27	10	0	5	25	0	16	7	2	1	0	0	7	1	101
Aug 2019	51	1	0	0	24	3	11	5	1	0	0	1	11	2	110
Jul 2019	40	3	0	5	29	0	7	2	1	0	1	2	0	0	90
Jun 2019	30	3	0	2	20	0	6	7	2	1	0	1	6	1	79
May 2019	49	8	0	7	16	2	11	5	2	0	0	0	4	2	106
Apr 2019	28	9	0	3	30	0	10	5	1	0	0	0	3	1	90
Mar 2019	44	9	0	8	15	1	13	3	3	0	0	0	1	0	97
Feb 2019	32	6	0	7	18	0	3	1	1	0	1	0	0	1	70
Jan 2019	39	4	0	2	18	1	13	7	2	0	0	0	2	1	89
Dec 2018	27	8	0	2	10	1	11	4	0	0	0	0	2	0	65
Nov 2018	30	10	0	6	12	2	6	4	3	1	0	0	0	0	74
Oct 2018	36	4	0	9	17	0	6	9	0	0	0	0	1	0	82
Sep 2018	29	19	0	7	19	1	10	5	6	0	0	0	2	1	99
Aug 2018	35	10	0	6	13	0	4	7	0	0	0	0	1	1	77
Jul 2018	42	6	0	3	18	1	7	5	0	2	0	0	0	1	85
Jun 2018	62	2	0	2	29	0	7	6	2	1	1	1	3	0	116
May 2018	37	8	0	4	19	0	4	11	0	0	0	0	2	1	86
Apr 2018	34	12	0	6	22	1	4	19	1	0	0	0	0	1	100
Mar 2018	45	3	0	4	4	1	8	11	1	0	0	0	0	0	77
Feb 2018	47	5	0	8	10	0	5	10	1	0	0	0	0	0	86
Jan 2018	26	7	0	7	20	0	2	5	1	0	0	0	1	1	70
Dec 2017	30	8	0	5	12	0	7	8	2	0	0	0	1	1	74
Nov 2017	29	6	0	3	8	4	6	3	2	0	0	0	3	0	64
Oct 2017	52	13	0	1	13	1	5	9	0	0	0	0	0	1	95
Sep 2017	46	12	1	4	14	4	5	3	2	0	0	0	1	0	92
Aug 2017	46	9	0	5	11	3	2	4	1	0	0	0	3	1	85
Jul 2017	70	14	0	2	21	2	11	9	0	1	2	0	1	0	133
Jun 2017	57	9	1	2	16	1	5	8	1	0	0	0	2	1	103
May 2017	42	17	0	7	18	1	8	5	0	0	0	0	1	1	100
Apr 2017	56	17	0	6	8	10	15	9	0	0	0	0	1	1	123
Mar 2017	69	20	0	5	10	4	16	7	2	1	0	0	1	1	136
Feb 2017	41	20	0	5	8	3	7	6	2	0	0	0	1	0	93
Jan 2017	51	9	0	4	7	4	10	7	1	0	0	0	0	0	93
Dec 2016	53	6	0	5	13	0	8	7	0	3	0	0	2	1	98
Nov 2016	68	7	0	6	7	0	12	4	0	0	0	0	2	0	106
Oct 2016	77	17	0	4	10	2	14	4	2	2	1	0	3	2	138
Sep 2016	74	12	0	7	5	2	10	13	1	0	0	0	1	1	126
Aug 2016	87	6	0	3	9	0	13	10	3	1	1	0	1	0	134
Jul 2016	80	17	0	5	13	1	3	5	2	0	0	0	1	0	127
Jun 2016	58	11	0	9	8	2	9	15	1	1	1	0	4	1	120
May 2016	68	11	1	4	6	2	11	7	0	2	0	0	2	0	114
Apr 2016	50	10	0	2	10	0	3	6	3	0	0	0	1	3	88
Mar 2016	51	7	0	4	11	0	17	4	0	0	0	0	0	0	94
Feb 2016	46	6	0	4	12	1	4	12	2	1	0	0	0	0	88
Jan 2016	32	8	0	2	14	0	8	4	1	0	0	0	2	0	71
Dec 2015	30	8	0	7	11	0	5	6	5	0	0	0	1	0	73
Nov 2015	46	14	0	10	17	1	17	3	1	2	0	0	1	0	112
Oct 2015	43	8	0	4	14	2	8	8	1	0	1	0	2	0	91
Sep 2015	68	9	0	4	16	3	4	4	1	0	0	0	0	0	109
Aug 2015	61	12	0	16	13	4	17	10	8	0	0	1	0	0	142
Jul 2015	48	9	0	3	12	2	5	9	4	0	0	0	0	1	93
Jun 2015	50	11	0	9	17	2	13	11	0	0	0	0	0	0	113
May 2015	39	16	0	8	11	1	8	12	0	0	0	0	2	0	97
Apr 2015	55	14	0	5	10	1	12	12	2	0	0	0	1	1	113
Mar 2015	47	19	0	7	7	1	14	13	0	0	0	0	0	0	108
Feb 2015	47	7	0	3	5	3	12	6	0	0	0	0	1	0	84
Jan 2015	25	13	1	8	6	1	13	4	0	0	0	0	0	0	71
Dec 2014	40	17	0	4	13	2	11	5	3	0	0	0	0	1	96
Nov 2014	35	15	0	4	7	1	7	11	2	0	0	0	1	0	83
Oct 2014	51	20	0	5	9	0	15	7	0	1	0	1	1	0	110
Sep 2014	47	13	0	7	7	2	6	7	0	0	0	0	2	0	91
Aug 2014	39	11	0	3	9	0	7	6	0	1	0	0	0	0	76
Jul 2014	52	8	0	11	14	1	4	6	2	1	0	0	1	2	102
Jun 2014	61	6	0	7	9	0	8	2	1	7	0	0	4	0	105
May 2014	44	9	1	6	10	2	7	2	0	0	0	0	1	0	82
Apr 2014	40	10	2	5	2	2	7	7	2	1	0	1	0	0	79
Mar 2014	45	17	0	3	7	1	10	11	4	1	0	0	0	0	99
Feb 2014	48	8	0	9	7	1	7	9	3	0	0	0	0	0	92
Jan 2014	60	14	1	2	6	2	6	5	0	1	0	0	0	3	100
Dec 2013	53	14	1	5	9	0	10	3	1	0	0	0	0	0	96
Nov 2013	58	15	0	0	10	0	12	4	5	0	0	0	1	0	105
Oct 2013	63	17	0	9	2	0	14	10	4	0	0	1	2	1	123
Sep 2013	47	6	1	5	4	0	15	5	3	1	0	0	0	0	87
Aug 2013	80	9	0	10	5	1	7	8	0	0	0	1	3	0	124
Jul 2013	77	13	0	8	5	0	7	10	2	1	0	1	1	0	125
Jun 2013	59	13	0	11	6	3	10	10	1	0	0	0	2	0	115
May 2013	64	4	0	17	6	1	5	9	6	0	1	0	0	1	114
Apr 2013	61	1	0	8	5	1	9	5			3	1		4	98
Mar 2013	41	9	1	3	7	0	4	11			0	0		4	80
Feb 2013	38	7	0	6	1	2	7	5			0	0		3	69
Jan 2013	63	7	0	9	4	1	15	12			0	0		9	120
Dec 2012	51	11	0	7	6	2	6	5			6	1		8	103
Nov 2012	40	13	0	5	2	0	13	7			0	1		4	85
Oct 2012	56	14	1	5	8	0	9	9			3	1		6	112
Sep 2012	53	8	0	5	7	0	6	16			1	3		10	109
Aug 2012	87	10	0	9	4	2	10	22			14	1		6	165
Jul 2012	59	15	0	7	2	3	11	18			9	1		6	131
Jun 2012	44	26	0	5	6	1	8	21			7	1		8	127
May 2012	68	10	0	11	9	3	11	11			2	0		4	129
Apr 2012	58	6	0	5	6	0	9	16			2	4		3	109
Mar 2012	65	4	0	5	6	1	6	9			1	2		8	107
Feb 2012	48	12	0	6	8	1	6	10			2	0		2	95
Jan 2012	46	2	0	3	9	2	10	8			2	0		1	83
Dec 2011	36	11	0	0	10	4	14	8			1	0		3	87
Nov 2011	52	15	0	7	6	3	16	11			5	3		1	119
Oct 2011	73	7	0	3	11	1	8	10			4	0		0	117
Sep 2011	70	20	0	8	5	1	14	11			1	0		2	132
Aug 2011	63	14	0	9	5	23									114
Jul 2011	63	12	0	14	12	38									139
Jun 2011	61	16	0	30	9	31									147
May 2011	54	22	0	12	11	29									128
Apr 2011	49	11	1	6	9	43									119
Mar 2011	46	14	0	5	7	33									105
Feb 2011	37	10	0	3	6	38									94
Jan 2011	41	7	1	8	14	28									99
Dec 2010	37	6	0	8	11	26									88

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 GL6

Crime Type and ASB Charts for GL6

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".