Fortune Green Ward London Borough Ward

Fortune Green Ward, England

London Borough Ward located within Camden London Boro

Residential Population: 14,827 (mid-2020 estimate)

Males: 7,557

Females: 7,270

Land Area: 100.579 Hectares

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Crime in Fortune Green Ward

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Jan 2024	14	14	8	15	18	7	7	9	4	1	0	0	1	1	99
Dec 2023	20	5	1	16	21	12	6	10	1	0	0	1	5	0	98
Nov 2023	23	10	3	11	14	11	7	5	1	3	6	0	6	0	100
Oct 2023	29	11	2	26	19	8	4	9	2	0	4	0	4	1	119
Sep 2023	32	8	0	16	15	5	10	8	2	2	1	1	7	0	107
Aug 2023	36	15	2	11	22	5	7	6	1	1	3	0	7	1	117
Jul 2023	38	6	2	14	20	0	5	13	0	2	0	1	2	0	103
Jun 2023	32	8	3	18	17	0	5	11	4	1	2	0	4	0	105
May 2023	33	4	1	19	25	3	7	10	4	0	3	0	4	0	113
Apr 2023	19	9	2	18	20	6	5	8	2	1	4	0	6	3	103
Mar 2023	32	8	2	17	15	2	3	11	1	2	0	0	4	2	99
Feb 2023	24	8	2	11	25	0	8	7	6	0	3	1	6	3	104
Jan 2023	16	8	5	8	14	0	7	4	0	0	2	0	5	0	69
Dec 2022	19	8	1	10	21	0	2	8	0	3	1	0	2	0	75
Nov 2022	24	12	1	23	13	0	8	5	1	1	1	1	8	2	100
Oct 2022	64	11	1	18	14	1	2	9	1	4	1	1	4	0	131
Sep 2022	22	3	1	8	21	1	5	5	1	1	0	0	5	1	74
Aug 2022	31	3	1	5	23	3	10	5	1	3	3	0	4	2	94
Jul 2022	30	7	1	14	12	3	10	9	2	2	1	0	5	1	97
Jun 2022	31	8	1	18	13	0	7	4	4	2	1	0	6	0	95
May 2022	14	5	4	10	25	1	3	11	5	3	1	0	7	1	90
Apr 2022	16	1	1	14	20	1	3	5	4	2	1	0	9	0	77
Mar 2022	34	4	1	12	22	1	7	10	2	2	1	0	6	1	103
Feb 2022	21	7	0	18	20	1	2	7	2	2	3	0	2	0	85
Jan 2022	20	10	2	11	15	1	9	8	1	0	1	0	8	0	86
Dec 2021	19	6	0	14	15	1	1	10	1	1	1	0	3	1	73
Nov 2021	42	6	1	18	20	1	7	8	5	1	1	0	9	0	119
Oct 2021	44	10	0	23	27	0	6	8	2	0	2	0	8	2	132
Sep 2021	46	7	3	24	22	2	6	7	3	1	3	0	6	0	130
Aug 2021	41	7	2	17	13	1	6	15	4	1	5	0	6	2	120
Jul 2021	30	8	1	21	23	0	11	8	4	4	2	0	6	0	118
Jun 2021	47	6	0	20	22	0	1	14	0	2	3	0	8	0	123
May 2021	58	9	1	19	23	0	11	2	2	2	1	1	5	0	134
Apr 2021	42	2	1	17	29	0	7	4	4	1	1	0	5	2	115
Mar 2021	50	2	0	15	24	0	2	1	5	0	1	0	6	0	106
Feb 2021	41	6	1	10	15	0	5	6	8	0	1	1	4	0	98
Jan 2021	43	8	0	9	19	0	2	4	4	1	0	1	4	2	97
Dec 2020	46	3	2	14	23	0	17	12	5	1	3	0	3	0	129
Nov 2020	49	13	3	17	21	0	2	5	3	1	0	0	4	1	119
Oct 2020	40	12	2	24	24	0	4	5	3	4	1	0	5	1	125
Sep 2020	43	5	3	11	30	0	5	4	3	0	2	0	4	0	110
Aug 2020	58	9	3	20	22	1	5	12	5	0	1	0	6	2	144
Jul 2020	63	8	5	14	24	0	9	6	7	3	2	1	6	0	148
Jun 2020	51	6	3	21	27	0	4	3	5	3	0	0	10	1	134
May 2020	85	4	0	21	24	0	7	6	10	1	0	0	9	0	167
Apr 2020	86	4	0	21	25	1	3	2	4	1	1	0	12	0	160
Mar 2020	50	8	3	14	8	1	6	4	3	0	1	0	6	2	106
Feb 2020	23	9	4	21	9	0	5	6	3	0	1	0	6	1	88
Jan 2020	16	8	3	20	12	0	4	5	1	1	2	0	10	0	82
Dec 2019	17	8	5	21	17	2	6	2	3	0	0	0	3	0	84
Nov 2019	26	11	2	11	17	0	4	7	3	0	2	1	3	1	88
Oct 2019	34	9	1	18	24	0	6	11	4	1	2	1	5	1	117
Sep 2019	25	6	2	18	14	0	4	3	1	0	0	0	11	1	85
Aug 2019	30	10	4	7	18	2	2	3	4	3	0	2	7	0	92
Jul 2019	25	9	2	17	16	0	6	6	3	1	2	1	5	0	93
Jun 2019	25	13	2	18	18	1	3	10	2	2	0	1	3	0	98
May 2019	38	6	2	8	15	1	9	7	2	2	0	0	0	1	91
Apr 2019	32	11	4	9	26	2	4	1	0	0	3	0	7	1	100
Mar 2019	29	10	3	16	23	2	12	9	3	0	1	0	3	0	111
Feb 2019	24	10	3	17	16	4	3	16	4	0	2	0	0	1	100
Jan 2019	16	20	0	23	16	0	14	5	2	2	2	0	7	0	107
Dec 2018	13	11	3	18	24	0	12	11	2	1	4	0	6	1	106
Nov 2018	30	6	5	24	19	2	8	8	1	0	0	0	1	1	105
Oct 2018	27	20	4	12	14	0	3	8	2	0	3	1	1	1	96
Sep 2018	20	15	2	19	23	2	7	5	5	1	2	0	5	1	107
Aug 2018	24	10	2	16	21	0	6	7	2	0	0	1	3	2	94
Jul 2018	31	30	4	17	31	1	10	7	1	1	4	0	7	0	144
Jun 2018	24	16	4	11	25	0	7	4	3	1	2	0	7	0	104
May 2018	12	15	4	10	21	1	4	10	1	1	1	0	1	1	82
Apr 2018	22	14	0	18	20	1	2	9	1	0	11	0	4	2	104
Mar 2018	16	10	3	13	16	1	7	5	2	1	7	0	3	1	85
Feb 2018	16	20	1	11	17	2	5	5	2	1	1	2	2	1	86
Jan 2018	12	13	3	23	20	0	5	1	2	1	5	2	2	1	90
Dec 2017	20	13	3	19	12	1	2	10	2	1	5	0	4	1	93
Nov 2017	19	16	3	22	14	2	4	4	4	0	6	1	3	1	99
Oct 2017	24	13	3	12	18	0	1	7	2	4	3	1	1	0	89
Sep 2017	26	11	2	11	27	0	7	10	2	0	6	0	2	0	104
Aug 2017	19	22	5	12	22	1	12	7	2	1	4	1	5	0	113
Jul 2017	30	15	1	38	27	2	6	14	1	0	1	2	7	0	144
Jun 2017	21	17	1	26	26	2	6	6	2	2	3	0	5	1	118
May 2017	25	20	1	23	21	2	8	6	2	3	2	0	4	0	117
Apr 2017	25	16	3	24	27	3	8	8	1	0	2	0	6	0	123
Mar 2017	26	9	2	32	20	3	4	6	3	1	1	1	3	1	112
Feb 2017	14	12	2	10	13	1	2	7	1	2	0	1	3	0	68
Jan 2017	20	11	0	17	17	0	7	2	0	1	0	0	3	0	78
Dec 2016	21	13	3	9	16	0	8	13	2	0	0	0	2	0	87
Nov 2016	31	12	0	11	10	0	1	3	0	0	1	0	1	0	70
Oct 2016	32	6	1	19	13	0	7	4	3	1	0	0	5	0	91
Sep 2016	24	11	2	16	22	0	3	3	1	2	2	0	9	1	96
Aug 2016	27	13	1	23	16	0	7	7	6	0	0	0	3	2	105
Jul 2016	30	13	1	15	18	1	10	4	1	2	1	0	4	0	100
Jun 2016	30	13	1	17	12	1	7	7	1	0	0	1	3	3	96
May 2016	15	13	0	7	15	0	9	8	1	4	1	1	3	0	77
Apr 2016	18	2	0	12	10	1	4	3	3	4	0	0	4	0	61
Mar 2016	24	6	2	15	18	2	9	3	0	0	0	0	3	0	82
Feb 2016	18	7	6	12	12	0	10	6	3	4	1	0	6	0	85
Jan 2016	13	8	3	9	9	2	3	6	5	0	0	0	3	1	62
Dec 2015	18	9	0	5	14	1	6	6	0	0	0	0	1	1	61
Nov 2015	19	12	1	8	11	0	7	4	2	0	2	0	4	1	71
Oct 2015	16	9	2	8	8	2	4	4	2	2	2	0	4	0	63
Sep 2015	21	11	1	3	12	0	7	8	2	1	0	0	1	0	67
Aug 2015	22	5	1	9	20	2	11	12	1	1	0	0	1	0	85
Jul 2015	27	10	4	6	13	1	8	9	1	1	2	2	2	0	86
Jun 2015	22	8	3	7	21	0	6	5	2	0	3	0	9	0	86
May 2015	22	12	4	7	9	4	5	6	3	1	2	0	1	1	77
Apr 2015	30	15	4	14	7	1	2	7	1	0	3	0	4	0	88
Mar 2015	20	12	2	10	10	1	5	2	2	4	1	0	1	2	72
Feb 2015	21	8	2	5	13	0	3	11	3	0	2	1	3	0	72
Jan 2015	7	16	2	11	17	0	2	7	0	0	0	0	2	1	65
Dec 2014	18	14	2	6	19	1	4	11	2	2	1	2	0	2	84
Nov 2014	18	13	1	8	16	1	5	5	2	3	1	0	4	1	78
Oct 2014	35	13	3	12	14	1	5	10	1	2	2	0	3	3	104
Sep 2014	31	10	3	10	14	1	9	11	1	1	1	1	4	2	99
Aug 2014	34	11	1	10	13	0	7	3	1	0	0	0	1	0	81
Jul 2014	29	12	1	8	14	0	4	8	4	2	2	0	9	1	94
Jun 2014	22	10	3	8	21	0	3	7	1	3	2	0	7	0	87
May 2014	22	13	2	5	18	0	2	8	1	2	1	1	6	0	81
Apr 2014	18	10	2	7	16	0	5	5	2	0	2	0	2	1	70
Mar 2014	15	15	3	12	15	0	4	6	1	0	1	1	2	0	75
Feb 2014	19	11	3	5	14	1	3	4	2	0	2	0	2	0	66
Jan 2014	25	21	8	5	20	0	7	7	4	1	1	0	2	0	101
Dec 2013	22	3	2	10	15	0	5	3	1	0	4	0	7	1	73
Nov 2013	27	9	1	5	9	1	6	6	1	1	2	0	2	0	70
Oct 2013	40	8	2	8	7	2	8	7	1	0	1	0	2	0	86
Sep 2013	31	14	4	8	12	1	4	6	4	3	2	2	1	0	92
Aug 2013	24	11	1	17	18	2	3	13	0	5	6	0	0	0	100
Jul 2013	43	12	4	12	18	1	5	19	2	5	0	0	1	1	123
Jun 2013	37	6	2	11	13	0	2	8	1	0	1	0	3	0	84
May 2013	46	8	12	14	8	0	6	6	4	2	1	0	3	1	111
Apr 2013	28	13	2	9	13	0	11	12			7	2		1	98
Mar 2013	24	6	3	6	7	1	4	4			8	2		0	65
Feb 2013	18	14	3	5	6	0	0	14			3	2		0	65
Jan 2013	30	12	0	5	16	1	3	12			3	1		9	92
Dec 2012	34	13	3	17	13	0	7	13			4	0		7	111
Nov 2012	48	9	2	16	15	2	6	14			5	2		20	139
Oct 2012	29	11	2	10	6	1	4	15			1	0		12	91
Sep 2012	36	9	2	5	9	0	2	14			2	2		12	93
Aug 2012	48	7	2	13	18	0	6	11			6	0		7	118
Jul 2012	38	9	1	8	14	0	5	17			0	1		3	96
Jun 2012	30	8	2	13	14	0	8	12			1	0		5	93
May 2012	32	15	2	3	12	3	4	13			4	6		8	102
Apr 2012	29	10	2	7	5	1	4	9			2	0		4	73
Mar 2012	33	13	4	6	12	1	10	11			5	4		10	109
Feb 2012	41	11	3	5	19	0	7	10			1	3		8	108
Jan 2012	33	25	2	3	11	0	4	7			5	2		7	99
Dec 2011	39	31	1	11	12	2	6	6			5	5		11	129
Nov 2011	42	19	7	7	7	3	6	13			3	3		6	116
Oct 2011	37	26	2	14	17	0	8	17			4	1		8	134
Sep 2011	38	14	2	22	9	0	10	9			3	1		5	113
Aug 2011	51	17	1	14	9	37									129
Jul 2011	47	19	6	36	5	35									148
Jun 2011	42	15	1	22	21	41									142
May 2011	36	32	0	11	16	25									120
Apr 2011	31	30	3	7	14	32									117
Mar 2011	42	25	3	7	11	29									117
Feb 2011	37	13	1	7	13	26									97
Jan 2011	36	12	3	13	16	24									104
Dec 2010	40	13	4	12	12	22									103

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 Fortune Green Ward

Crime Type and ASB Charts for Fortune Green Ward

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".