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CM17 9, Harlow

Found within Postcode District CM17, which covers Church Langley Ward, Harlow Common Ward, Moreton, North Weald Bassett, Old Harlow Ward, Toddbrook Ward

Residential Population: 14,375

Population Density: 8.85 Persons per Hectare

Land Area: 1625.15 Hectares

Daytime Population: 10,228

Population Density: 6.29 Persons per Hectare

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Crime in CM17 9, Harlow

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Feb 2024	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1
Jan 2024	0	1	0	0	3	0	0	0	0	0	0	0	0	0	4
Dec 2023	0	0	0	0	3	0	1	1	0	0	0	0	0	0	5
Nov 2023	1	0	0	0	5	0	1	0	0	0	0	0	0	0	7
Oct 2023	1	0	0	0	0	0	1	0	0	0	0	0	0	0	2
Sep 2023	0	0	0	0	3	0	0	0	0	0	0	0	0	0	3
Aug 2023	1	0	0	1	4	0	0	0	2	0	0	0	0	0	8
Jul 2023	2	0	0	0	5	0	0	0	0	0	0	0	0	1	8
Jun 2023	0	0	0	0	2	0	0	0	0	0	0	0	0	0	2
May 2023	0	0	0	0	5	0	2	0	0	0	0	0	0	1	8
Apr 2023	0	0	0	1	2	0	0	0	0	0	0	0	0	0	3
Mar 2023	1	0	0	0	4	0	0	0	0	0	0	0	0	0	5
Feb 2023	10	3	1	7	39	3	8	5	5	0	1	0	11	1	94
Jan 2023	7	4	0	19	50	5	3	12	9	2	1	2	4	1	119
Dec 2022	0	0	0	0	2	0	3	1	0	0	0	0	0	0	6
Nov 2022	0	0	0	2	4	0	0	0	0	1	0	0	0	0	7
Oct 2022	0	0	0	0	2	0	0	0	0	0	0	0	0	1	3
Sep 2022	1	0	0	0	3	0	0	2	1	0	0	0	0	1	8
Aug 2022	21	1	0	4	55	5	9	19	10	1	0	2	14	3	144
Jul 2022	19	3	0	6	41	0	7	7	10	0	0	0	6	1	100
Jun 2022	11	3	0	4	44	1	4	17	5	0	0	1	10	2	102
May 2022	15	7	1	12	42	4	8	8	4	1	0	1	7	1	111
Apr 2022	11	1	1	8	42	2	5	6	3	0	0	1	6	1	87
Mar 2022	11	6	2	5	66	2	8	8	5	0	0	0	11	1	125
Feb 2022	10	3	1	3	34	4	5	9	1	0	0	2	10	1	83
Jan 2022	16	4	1	10	43	4	2	10	4	0	0	0	14	6	114
Dec 2021	18	2	0	5	51	4	8	12	6	0	0	1	9	1	117
Nov 2021	15	2	1	10	46	5	6	8	5	0	1	2	6	4	111
Oct 2021	17	3	0	14	54	8	7	7	3	0	1	1	15	3	133
Sep 2021	13	1	1	4	94	0	8	7	1	1	0	0	27	1	158
Aug 2021	20	3	1	5	51	2	8	4	8	1	0	0	11	2	116
Jul 2021	16	1	0	4	53	5	9	8	5	1	0	0	14	1	117
Jun 2021	20	2	1	5	56	3	12	6	1	1	0	0	20	1	128
May 2021	20	4	1	3	54	7	10	8	3	0	0	0	14	3	127
Apr 2021	29	4	0	6	26	3	17	4	3	0	0	0	15	4	111
Mar 2021	43	3	0	3	63	1	11	6	10	3	0	1	6	0	150
Feb 2021	41	0	0	3	46	10	3	10	5	0	0	1	4	5	128
Jan 2021	32	0	1	5	43	3	5	0	6	0	0	1	13	1	110
Dec 2020	44	4	0	3	38	4	9	5	4	0	0	0	4	2	117
Nov 2020	43	2	0	3	40	4	15	6	3	0	0	0	9	1	126
Oct 2020	24	1	1	10	32	1	10	6	5	0	3	1	9	1	104
Sep 2020	26	1	0	5	47	4	6	10	6	0	1	1	11	6	124
Aug 2020	30	0	1	6	37	0	12	9	3	1	2	0	13	3	117
Jul 2020	32	2	1	2	35	5	9	5	8	0	1	2	8	1	111
Jun 2020	32	1	0	3	37	1	8	4	3	0	0	0	11	1	101
May 2020	55	0	0	3	52	2	5	6	15	0	0	3	20	3	164
Apr 2020	43	3	0	5	28	0	9	3	9	0	0	2	7	2	111
Mar 2020	26	3	0	11	39	3	6	6	2	0	0	0	6	1	103
Feb 2020	22	5	0	8	49	2	8	9	3	0	0	0	12	0	118
Jan 2020	17	4	1	12	40	2	12	9	3	1	2	1	8	3	115
Dec 2019	18	4	1	7	28	4	10	7	3	0	1	1	6	1	91
Nov 2019	29	9	1	7	35	11	8	8	7	1	0	3	5	5	129
Oct 2019	26	2	0	3	27	4	7	8	2	1	0	1	9	1	91
Sep 2019	18	3	0	9	28	2	5	7	2	1	0	1	6	4	86
Aug 2019	24	3	2	4	49	1	13	8	5	1	0	1	14	0	125
Jul 2019	31	3	0	9	43	6	15	13	4	2	0	0	13	3	142
Jun 2019	35	4	0	4	30	2	9	5	6	1	0	1	7	2	106
May 2019	21	7	1	12	44	0	13	7	6	0	1	0	20	2	134
Apr 2019	31	4	1	15	39	2	6	14	1	2	0	3	9	4	131
Mar 2019	23	4	3	9	40	4	12	8	2	0	0	0	14	4	123
Feb 2019	17	4	0	11	26	1	6	12	3	2	1	0	1	2	86
Jan 2019	19	2	1	10	31	2	9	11	6	0	0	0	5	1	97
Dec 2018	14	3	0	8	38	0	8	12	6	0	0	3	7	1	100
Nov 2018	24	3	0	19	41	2	5	15	4	0	0	3	6	0	122
Oct 2018	39	4	0	12	26	8	12	11	0	1	0	0	6	0	119
Sep 2018	22	4	0	3	32	3	10	6	3	2	1	0	13	2	101
Aug 2018	25	4	0	8	32	2	8	7	0	0	0	0	6	2	94
Jul 2018	33	4	1	7	44	3	7	10	4	0	0	1	10	1	125
Jun 2018	40	8	0	5	38	1	6	13	5	2	0	1	6	2	127
May 2018	42	3	2	3	43	2	10	3	0	1	0	0	12	1	122
Apr 2018	43	7	0	4	23	1	9	4	2	0	0	1	13	1	108
Mar 2018	18	4	0	6	20	3	8	2	5	0	0	0	3	1	70
Feb 2018	19	3	0	5	28	1	10	4	3	1	0	0	3	2	79
Jan 2018	34	3	0	6	16	2	13	8	2	0	1	3	5	9	102
Dec 2017	19	3	0	12	25	2	14	5	5	0	0	0	5	3	93
Nov 2017	29	2	1	7	20	5	22	5	2	0	0	0	5	2	100
Oct 2017	50	3	1	7	27	1	10	6	4	3	0	2	8	2	124
Sep 2017	28	3	1	14	38	2	10	5	2	0	0	1	8	5	117
Aug 2017	41	5	0	11	34	6	10	10	0	1	1	0	6	1	126
Jul 2017	45	5	0	6	32	1	5	17	2	0	0	3	5	1	122
Jun 2017	29	5	0	9	24	3	5	9	2	0	0	0	5	2	93
May 2017	39	3	1	8	18	6	7	5	5	1	1	1	4	2	101
Apr 2017	31	3	1	7	24	8	11	11	5	2	0	1	3	1	108
Mar 2017	28	6	0	4	25	9	9	6	5	3	0	2	5	4	106
Feb 2017	26	5	0	9	22	4	4	11	1	1	0	0	2	1	86
Jan 2017	19	5	2	10	21	4	12	10	4	2	0	0	5	3	97
Dec 2016	25	3	0	8	29	3	11	7	2	1	0	0	9	2	100
Nov 2016	24	7	1	9	13	4	15	10	3	0	0	0	2	0	88
Oct 2016	44	3	1	8	22	1	10	11	2	1	0	0	5	1	109
Sep 2016	26	3	0	8	15	1	6	8	3	2	0	2	9	0	83
Aug 2016	31	3	0	5	14	4	8	16	2	0	1	0	4	1	89
Jul 2016	40	1	2	6	19	1	10	10	2	2	0	1	6	2	102
Jun 2016	35	5	1	5	21	7	10	7	0	2	0	2	7	0	102
May 2016	48	4	0	5	22	4	5	13	0	1	2	1	7	1	113
Apr 2016	40	3	0	7	16	3	8	15	2	0	0	0	4	1	99
Mar 2016	29	2	0	12	19	7	5	16	4	0	0	0	5	0	99
Feb 2016	18	8	0	12	15	0	8	12	2	1	2	1	6	2	87
Jan 2016	23	3	0	5	13	4	10	14	2	2	1	0	8	0	85
Dec 2015	25	2	1	7	20	4	9	10	0	0	0	0	0	1	79
Nov 2015	17	12	0	6	19	6	11	7	1	2	1	1	1	1	85
Oct 2015	46	5	0	5	25	8	6	13	2	0	1	2	2	0	115
Sep 2015	26	6	0	14	17	1	4	14	0	0	0	0	1	0	83
Aug 2015	31	4	0	15	6	1	4	9	1	0	2	0	1	0	74
Jul 2015	31	1	0	14	14	0	6	16	3	1	0	1	6	4	97
Jun 2015	37	2	1	4	16	2	8	9	1	3	0	0	3	0	86
May 2015	41	6	0	7	17	1	4	7	2	0	0	1	1	1	88
Apr 2015	49	1	1	15	17	4	8	9	0	1	2	0	2	0	109
Mar 2015	29	7	0	9	10	4	4	3	2	0	0	0	4	1	73
Feb 2015	24	1	0	12	15	7	13	7	2	0	0	0	3	1	85
Jan 2015	16	4	1	5	12	5	7	7	1	0	0	0	3	1	62
Dec 2014	17	3	0	1	9	9	2	9	1	2	0	0	1	1	55
Nov 2014	20	6	1	7	9	0	8	10	0	1	1	0	0	1	64
Oct 2014	21	3	0	2	11	0	7	9	1	0	0	1	2	0	57
Sep 2014	25	2	0	6	7	4	2	7	2	0	0	0	0	3	58
Aug 2014	30	2	0	3	9	4	6	11	2	1	0	1	3	2	74
Jul 2014	55	7	0	4	12	3	5	7	1	1	0	0	1	0	96
Jun 2014	28	8	0	2	14	6	6	15	2	1	0	0	2	1	85
May 2014	31	8	1	6	11	3	4	7	3	0	0	2	3	2	81
Apr 2014	32	8	1	4	8	3	5	12	4	1	0	1	2	0	81
Mar 2014	32	2	0	7	14	0	7	9	1	0	0	0	3	0	75
Feb 2014	15	5	2	11	8	4	6	9	2	0	0	0	1	0	63
Jan 2014	10	4	0	3	9	2	9	17	1	0	0	0	1	0	56
Dec 2013	26	2	1	6	5	2	2	9	1	1	0	1	2	1	59
Nov 2013	26	1	0	7	8	1	7	9	3	0	0	0	1	0	63
Oct 2013	28	5	0	11	14	2	4	8	1	0	1	0	0	0	74
Sep 2013	24	1	2	3	14	2	5	11	1	1	0	0	2	1	67
Aug 2013	33	4	0	5	10	3	5	16	1	0	0	0	1	0	78
Jul 2013	46	5	0	6	16	2	6	8	2	2	0	0	0	0	93
Jun 2013	40	7	3	2	7	2	5	7	7	0	0	0	2	0	82
May 2013	40	8	1	2	10	2	6	14	3	1	0	1	2	0	90
Apr 2013	32	6	0	9	4	1	4	14			2	6		1	79
Mar 2013	40	4	0	12	14	3	1	12			4	1		8	99
Feb 2013	22	6	0	9	6	1	1	8			3	1		1	58
Jan 2013	34	4	0	9	8	3	8	12			5	3		3	89
Dec 2012	23	6	0	6	8	2	4	8			2	1		6	66
Nov 2012	23	4	2	5	10	4	5	2			1	0		5	61
Oct 2012	26	11	0	6	8	7	7	10			1	2		11	89
Sep 2012	25	4	1	5	13	4	8	7			3	2		10	82
Aug 2012	32	4	2	9	6	1	3	10			0	0		8	75
Jul 2012	25	6	1	4	9	4	7	7			1	0		10	74
Jun 2012	21	5	0	9	10	3	11	11			1	0		8	79
May 2012	28	15	1	5	10	8	3	17			4	0		4	95
Apr 2012	31	6	0	6	10	3	6	14			1	1		8	86
Mar 2012	32	6	1	8	7	6	6	16			1	1		5	89
Feb 2012	34	5	0	4	7	4	6	4			2	0		4	70
Jan 2012	33	5	0	5	6	2	7	3			3	3		2	69
Dec 2011	30	13	1	7	12	3	13	11			1	2		2	95
Nov 2011	33	12	0	10	5	2	4	16			0	0		4	86
Oct 2011	34	5	0	9	17	8	11	12			2	0		5	103
Sep 2011	22	5	0	4	12	2	3	7			0	2		3	60
Aug 2011	27	4	0	6	7	35									79
Jul 2011	36	8	0	5	15	28									92
Jun 2011	27	15	1	6	13	29									91
May 2011	35	8	0	6	10	23									82
Apr 2011	53	8	0	3	12	25									101
Mar 2011	42	7	0	15	3	19									86
Feb 2011	47	4	0	9	5	22									87
Jan 2011	31	12	0	11	11	19									84
Dec 2010	25	6	1	6	8	14									60

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 CM17 9

Crime Type and ASB Charts for CM17 9

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".