CM17 0 Postcode Sector

CM17 0, Harlow

Found within Postcode District CM17, which covers Hatfield Heath, High Laver, Little Laver, Matching, North Weald Bassett, Old Harlow Ward, Sheering, Toddbrook Ward

Residential Population: 6,893

Population Density: 3.50 Persons per Hectare

Land Area: 1969.60 Hectares

Daytime Population: 5,181

Population Density: 2.63 Persons per Hectare

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Crime in CM17 0, 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	1	0	0	0	0	0	0	0	0	0	0	0	0	0	1
Dec 2023	0	1	0	0	0	0	0	0	0	0	0	0	1	0	2
Nov 2023	1	0	0	2	2	0	0	0	0	0	0	0	0	0	5
Oct 2023	0	1	0	2	3	0	0	0	0	0	0	1	0	0	7
Sep 2023	0	0	0	2	5	0	1	0	0	0	0	0	0	0	8
Aug 2023	0	0	0	1	2	0	0	0	0	0	0	0	1	0	4
Jul 2023	1	0	0	1	1	0	1	0	0	0	0	0	1	0	5
Jun 2023	1	0	0	1	2	0	0	0	0	0	0	0	1	0	5
May 2023	1	1	0	0	4	0	0	1	1	0	0	0	0	0	8
Apr 2023	0	0	0	1	1	0	0	1	1	0	0	0	0	0	4
Mar 2023	0	0	0	0	1	0	0	0	0	1	0	0	1	0	3
Feb 2023	7	0	0	10	37	2	8	7	2	0	0	4	12	3	92
Jan 2023	1	0	0	4	25	4	2	2	4	0	1	0	6	0	49
Dec 2022	1	0	0	2	0	0	0	1	0	0	0	1	0	0	5
Nov 2022	0	0	0	0	5	0	0	0	0	0	0	0	0	0	5
Oct 2022	0	0	1	0	3	0	2	0	0	1	0	0	1	0	8
Sep 2022	1	1	0	2	0	0	1	0	0	0	0	0	0	0	5
Aug 2022	15	2	0	4	32	0	5	3	1	1	1	0	7	2	73
Jul 2022	6	6	0	5	28	0	10	4	3	1	0	1	14	1	79
Jun 2022	8	4	0	6	28	1	7	2	5	0	0	0	6	1	68
May 2022	4	0	1	7	27	0	0	8	3	0	0	0	13	3	66
Apr 2022	11	9	2	5	24	0	5	5	2	1	0	1	5	1	71
Mar 2022	5	6	1	9	34	0	4	1	6	0	0	0	3	1	70
Feb 2022	3	2	0	2	18	0	7	4	2	0	0	1	4	4	47
Jan 2022	9	1	0	4	22	0	7	4	3	0	0	1	7	0	58
Dec 2021	4	2	0	8	24	0	3	0	0	1	0	0	3	1	46
Nov 2021	6	1	0	16	22	1	6	5	2	0	2	2	6	2	71
Oct 2021	4	3	0	3	27	0	6	11	1	0	0	1	7	3	66
Sep 2021	18	1	0	1	31	0	9	5	2	0	1	0	13	1	82
Aug 2021	8	3	0	7	25	0	6	5	1	1	0	0	6	1	63
Jul 2021	17	5	1	5	38	0	6	6	2	0	0	1	10	1	92
Jun 2021	13	2	0	2	41	0	6	7	1	1	0	0	6	0	79
May 2021	9	0	0	6	28	0	3	6	2	0	0	0	7	2	63
Apr 2021	15	2	0	5	21	0	9	3	1	1	0	0	5	1	63
Mar 2021	20	0	1	9	16	3	7	3	2	1	0	0	9	1	72
Feb 2021	24	2	2	2	16	1	4	2	2	0	0	1	5	0	61
Jan 2021	31	2	1	2	19	2	0	3	7	0	0	3	4	2	76
Dec 2020	22	5	0	2	22	1	9	2	0	0	0	0	6	0	69
Nov 2020	22	1	0	0	22	3	5	1	3	0	0	0	6	0	63
Oct 2020	21	0	0	6	36	0	4	5	2	0	0	0	10	0	84
Sep 2020	15	4	1	4	27	0	2	2	3	0	0	1	10	1	70
Aug 2020	14	0	0	4	35	0	6	4	6	0	1	1	13	2	86
Jul 2020	11	1	0	5	26	0	2	3	2	1	1	0	6	0	58
Jun 2020	6	0	1	4	25	0	8	7	1	0	0	0	8	2	62
May 2020	30	2	1	1	17	2	1	3	4	0	0	0	10	2	73
Apr 2020	16	4	0	6	10	0	4	1	1	1	0	0	4	1	48
Mar 2020	17	3	2	4	41	0	6	5	2	0	0	0	10	1	91
Feb 2020	15	4	1	10	21	1	9	5	5	0	0	0	4	1	76
Jan 2020	9	7	0	3	32	2	7	1	0	0	1	0	1	1	64
Dec 2019	5	3	0	10	20	0	8	7	0	0	0	0	6	2	61
Nov 2019	6	5	0	4	21	0	6	2	3	0	0	0	9	0	56
Oct 2019	14	7	0	7	23	0	1	2	3	1	0	0	8	1	67
Sep 2019	13	3	0	1	14	1	6	2	1	1	0	0	4	0	46
Aug 2019	15	1	0	3	17	3	4	5	1	0	0	0	4	1	54
Jul 2019	19	3	0	5	29	1	5	5	1	0	0	0	4	1	73
Jun 2019	11	3	1	7	14	0	8	5	0	1	0	2	1	1	54
May 2019	22	6	1	10	22	0	5	3	1	0	0	0	3	1	74
Apr 2019	15	2	0	9	20	0	5	4	4	1	1	1	2	1	65
Mar 2019	5	8	0	5	19	1	4	7	1	1	0	0	8	0	59
Feb 2019	18	2	1	5	26	1	3	8	2	1	0	1	2	0	70
Jan 2019	13	2	0	4	22	0	3	5	0	1	0	0	4	1	55
Dec 2018	10	2	0	5	12	0	2	1	4	0	0	0	6	1	43
Nov 2018	15	6	0	7	26	0	4	8	1	0	2	0	7	0	76
Oct 2018	16	1	1	7	28	0	4	6	0	1	0	1	11	0	76
Sep 2018	12	9	0	2	19	2	8	7	2	1	2	0	6	2	72
Aug 2018	9	5	0	10	25	3	12	4	0	0	0	0	7	0	75
Jul 2018	20	2	0	7	25	1	10	4	3	2	0	0	9	0	83
Jun 2018	14	6	1	4	13	2	6	3	4	0	0	1	5	1	60
May 2018	20	9	0	3	11	4	5	5	0	0	0	0	8	0	65
Apr 2018	24	2	1	6	19	0	5	2	1	0	0	2	3	0	65
Mar 2018	15	3	0	7	12	5	2	3	0	1	2	0	3	1	54
Feb 2018	9	3	1	5	13	5	7	1	3	0	0	1	2	1	51
Jan 2018	11	4	0	5	13	1	4	2	0	0	1	0	0	0	41
Dec 2017	20	2	0	7	13	2	5	3	2	0	1	0	6	4	65
Nov 2017	16	6	0	3	10	2	3	1	0	0	0	0	3	2	46
Oct 2017	16	4	0	7	6	0	4	2	1	1	0	0	3	0	44
Sep 2017	12	7	0	8	10	0	2	2	3	0	0	0	3	1	48
Aug 2017	8	1	0	4	12	0	10	2	1	0	1	0	4	0	43
Jul 2017	25	7	0	7	12	0	2	7	3	1	0	0	7	0	71
Jun 2017	8	5	0	14	11	0	6	5	1	2	0	0	1	0	53
May 2017	14	2	1	4	14	1	4	7	0	0	0	1	8	1	57
Apr 2017	10	0	0	5	10	0	6	1	1	0	0	0	1	0	34
Mar 2017	19	0	0	2	12	0	3	2	1	2	0	0	2	0	43
Feb 2017	18	6	0	8	13	1	5	2	2	0	0	0	4	0	59
Jan 2017	13	1	0	2	9	2	3	0	0	0	0	0	3	0	33
Dec 2016	16	4	0	4	15	2	1	3	1	0	1	0	2	2	51
Nov 2016	14	2	0	4	18	5	3	8	2	0	0	0	4	1	61
Oct 2016	10	3	0	2	12	2	6	2	0	0	1	0	1	0	39
Sep 2016	22	4	1	5	15	0	4	5	2	0	0	0	5	0	63
Aug 2016	13	2	0	9	8	1	3	6	0	0	0	1	2	1	46
Jul 2016	24	4	0	2	15	4	5	3	3	3	1	0	3	1	68
Jun 2016	22	5	0	8	16	1	9	2	0	1	2	0	5	0	71
May 2016	16	6	0	7	18	3	7	3	1	0	0	1	3	0	65
Apr 2016	10	5	0	5	3	2	3	0	0	1	0	0	1	0	30
Mar 2016	18	6	0	6	10	1	4	2	3	0	0	0	3	0	53
Feb 2016	17	4	0	8	5	2	1	1	2	1	2	0	4	1	48
Jan 2016	11	9	0	9	10	5	1	2	2	0	1	0	2	0	52
Dec 2015	18	4	1	1	4	1	4	2	1	0	0	0	0	0	36
Nov 2015	11	7	0	5	12	1	3	3	1	0	0	0	2	0	45
Oct 2015	14	2	0	6	7	4	6	2	1	1	1	0	2	0	46
Sep 2015	13	10	0	10	14	7	3	2	2	0	0	1	2	1	65
Aug 2015	15	4	0	3	13	3	4	1	0	1	0	0	5	3	52
Jul 2015	20	2	0	6	10	2	3	3	1	0	0	0	5	1	53
Jun 2015	7	6	0	8	9	3	4	4	2	0	0	0	1	1	45
May 2015	22	2	0	14	5	7	4	3	0	0	0	0	0	2	59
Apr 2015	19	2	2	11	10	5	6	6	1	0	0	0	0	0	62
Mar 2015	22	5	0	8	11	2	3	1	1	0	0	0	2	2	57
Feb 2015	10	14	1	3	7	18	3	3	1	0	0	0	2	2	64
Jan 2015	14	4	0	6	8	17	0	4	2	0	0	0	2	0	57
Dec 2014	19	2	0	7	16	0	8	2	0	0	1	0	1	1	57
Nov 2014	9	3	0	8	2	5	2	1	1	0	0	0	1	1	33
Oct 2014	23	8	0	4	4	5	2	0	1	0	1	0	0	0	48
Sep 2014	15	2	2	1	7	2	1	6	1	1	0	0	3	0	41
Aug 2014	12	1	0	5	1	2	2	1	0	0	0	0	0	0	24
Jul 2014	12	7	0	2	7	0	8	1	0	0	1	0	0	2	40
Jun 2014	22	0	0	1	5	6	4	4	1	1	0	0	1	0	45
May 2014	12	2	0	3	8	9	3	3	1	0	1	0	0	1	43
Apr 2014	24	2	0	2	7	3	6	2	2	1	0	0	0	0	49
Mar 2014	13	3	0	2	4	5	1	3	1	0	0	0	1	0	33
Feb 2014	6	4	0	1	5	4	4	0	0	0	0	0	3	1	28
Jan 2014	9	2	1	6	6	5	5	4	0	1	0	1	0	1	41
Dec 2013	20	4	0	8	4	2	4	2	0	0	0	0	1	0	45
Nov 2013	17	3	0	2	15	8	1	3	0	1	0	0	1	0	51
Oct 2013	19	5	0	3	8	8	3	5	2	1	1	0	2	1	58
Sep 2013	24	0	0	5	5	4	1	2	2	1	0	0	3	0	47
Aug 2013	26	4	0	3	8	9	4	4	1	0	0	0	0	0	59
Jul 2013	28	4	1	3	4	8	4	7	0	0	0	0	2	0	61
Jun 2013	22	16	0	5	2	4	5	1	0	0	0	0	4	0	59
May 2013	20	8	0	5	9	7	1	4	4	0	0	2	2	1	63
Apr 2013	19	4	1	1	8	8	3	1			1	0		0	46
Mar 2013	23	6	1	5	12	0	4	1			3	3		1	59
Feb 2013	17	6	0	2	5	4	4	2			1	2		0	43
Jan 2013	14	4	0	3	0	1	2	3			0	0		0	27
Dec 2012	20	9	1	7	10	2	16	10			1	2		3	81
Nov 2012	16	2	0	4	4	0	7	3			0	1		0	37
Oct 2012	19	7	0	2	4	6	12	6			3	2		5	66
Sep 2012	15	3	0	1	5	2	1	3			2	1		2	35
Aug 2012	20	3	0	3	10	2	3	5			0	0		0	46
Jul 2012	13	6	0	2	6	0	5	10			0	1		2	45
Jun 2012	17	5	0	3	3	0	3	5			2	1		1	40
May 2012	19	10	0	3	4	0	3	2			0	0		2	43
Apr 2012	22	2	0	3	6	4	0	3			0	0		1	41
Mar 2012	24	9	0	6	2	4	3	7			0	0		2	57
Feb 2012	22	3	0	4	8	0	1	4			2	0		4	48
Jan 2012	20	4	0	1	3	0	5	3			1	0		2	39
Dec 2011	14	5	0	5	8	3	3	5			1	3		0	47
Nov 2011	25	4	1	7	6	5	2	3			2	0		1	56
Oct 2011	24	7	0	5	2	0	6	0			1	1		0	46
Sep 2011	20	7	0	5	6	1	4	4			0	2		0	49
Aug 2011	18	6	0	3	7	15									49
Jul 2011	21	4	0	5	3	16									49
Jun 2011	24	8	0	6	9	16									63
May 2011	20	5	0	2	9	21									57
Apr 2011	20	1	0	9	4	21									55
Mar 2011	23	7	0	7	7	22									66
Feb 2011	20	9	0	3	9	13									54
Jan 2011	15	4	0	7	4	21									51
Dec 2010	12	11	0	12	0	9									44

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 0

Crime Type and ASB Charts for CM17 0

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".