TS18 4 Postcode Sector

TS18 4, Stockton-on-Tees

Found within Postcode District TS18, which covers Grangefield Ward, Hartburn Ward, Newtown Ward, Parkfield and Oxbridge Ward

Residential Population: 6,097

Population Density: 30.46 Persons per Hectare

Land Area: 200.17 Hectares

Daytime Population: 4,657

Population Density: 23.27 Persons per Hectare

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Crime in TS18 4, Stockton-on-Tees

	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	0	0	0	0	0	0	0	0	0	0	0
Jan 2024	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Dec 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Nov 2023	0	0	0	1	1	0	0	0	0	0	0	0	0	0	2
Oct 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Sep 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Aug 2023	0	1	0	0	1	0	0	0	0	0	0	0	0	0	2
Jul 2023	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1
Jun 2023	0	0	0	0	4	0	0	0	0	0	0	0	0	0	4
May 2023	0	5	0	0	0	0	0	0	0	0	0	0	0	0	5
Apr 2023	0	0	0	2	1	0	0	0	0	0	0	0	1	0	4
Mar 2023	0	0	0	2	0	0	0	0	0	0	0	0	0	0	2
Feb 2023	10	6	2	2	30	5	10	4	3	0	0	1	9	2	84
Jan 2023	2	11	1	10	14	3	14	3	5	0	0	3	4	1	71
Dec 2022	0	0	0	1	0	0	0	1	0	0	0	0	0	0	2
Nov 2022	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Oct 2022	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1
Sep 2022	1	0	0	0	1	0	0	0	0	0	0	0	0	0	2
Aug 2022	13	9	1	3	22	0	7	1	5	0	0	0	7	0	68
Jul 2022	5	1	0	5	34	3	5	4	2	1	0	1	5	0	66
Jun 2022	11	3	0	2	27	5	12	6	0	0	0	0	2	0	68
May 2022	3	2	0	7	27	5	8	3	0	1	0	2	9	2	69
Apr 2022	7	0	0	3	22	5	4	3	0	1	0	0	4	2	51
Mar 2022	9	4	0	4	34	2	5	3	1	2	0	0	3	1	68
Feb 2022	9	3	3	0	25	6	7	5	1	5	1	0	6	0	71
Jan 2022	9	6	0	5	29	2	1	4	1	0	0	0	7	2	66
Dec 2021	5	1	0	1	14	1	6	8	1	1	1	0	6	0	45
Nov 2021	6	2	1	1	25	3	4	3	5	1	1	0	3	1	56
Oct 2021	14	6	0	4	23	6	11	7	3	1	0	1	7	0	83
Sep 2021	18	7	0	4	20	1	6	1	2	0	0	0	9	0	68
Aug 2021	24	6	1	2	23	0	5	8	2	0	0	0	8	2	81
Jul 2021	10	3	0	3	15	0	1	2	1	1	0	0	3	1	40
Jun 2021	12	3	0	0	21	0	5	6	1	0	0	1	7	4	60
May 2021	6	2	0	5	35	5	6	10	1	0	0	0	7	2	79
Apr 2021	19	3	0	0	21	3	4	2	0	0	0	0	1	2	55
Mar 2021	11	4	0	3	16	1	8	2	1	1	3	1	8	3	62
Feb 2021	10	2	0	2	24	2	8	4	3	0	1	0	2	0	58
Jan 2021	12	4	1	2	24	2	1	1	4	0	1	1	0	0	53
Dec 2020	17	3	2	7	29	0	2	5	2	0	0	0	1	2	70
Nov 2020	34	1	1	4	17	2	9	2	2	0	0	0	6	2	80
Oct 2020	29	6	1	6	25	0	6	4	0	0	0	0	3	4	84
Sep 2020	23	4	1	2	21	3	7	3	2	0	0	0	3	1	70
Aug 2020	20	5	2	3	21	2	6	8	3	1	0	0	4	0	75
Jul 2020	31	2	0	0	20	3	4	5	1	0	0	2	6	2	76
Jun 2020	17	2	0	2	25	2	8	2	5	0	0	0	2	1	66
May 2020	53	5	0	9	15	2	5	3	1	1	0	0	7	0	101
Apr 2020	48	1	2	4	26	2	5	2	0	1	2	2	1	1	97
Mar 2020	14	4	0	2	22	2	2	7	0	0	1	0	3	0	57
Feb 2020	9	9	0	3	17	5	8	5	4	0	0	0	2	1	63
Jan 2020	13	6	1	2	28	5	6	7	3	0	0	0	4	2	77
Dec 2019	18	11	0	3	29	5	2	9	4	0	0	1	5	1	88
Nov 2019	9	1	0	8	21	9	3	8	2	0	0	0	4	0	65
Oct 2019	22	6	0	9	22	6	17	5	1	0	1	1	5	1	96
Sep 2019	14	3	0	8	21	2	5	6	2	1	0	0	9	0	71
Aug 2019	13	3	0	7	21	1	9	10	2	1	0	0	1	0	68
Jul 2019	23	6	1	9	25	0	6	8	1	1	1	0	1	0	82
Jun 2019	16	4	1	5	12	5	8	11	2	0	0	0	2	1	67
May 2019	12	4	1	12	34	2	2	4	5	0	1	0	4	0	81
Apr 2019	16	18	1	11	18	1	3	7	1	2	0	0	6	0	84
Mar 2019	22	7	1	12	16	1	6	4	1	0	1	1	3	2	77
Feb 2019	9	4	1	14	24	1	4	13	2	2	0	1	2	1	78
Jan 2019	19	3	0	9	24	0	5	8	1	0	0	0	2	2	73
Dec 2018	21	4	2	10	32	4	3	7	0	0	1	1	3	1	89
Nov 2018	12	3	0	12	21	1	6	8	1	1	0	1	0	2	68
Oct 2018	19	5	4	9	25	0	4	7	1	5	0	3	8	4	94
Sep 2018	22	7	0	11	26	2	8	6	2	1	0	1	2	3	91
Aug 2018	19	5	0	10	20	5	6	7	1	1	0	0	0	0	74
Jul 2018	19	9	0	13	17	2	3	5	0	5	0	0	2	1	76
Jun 2018	20	10	1	21	19	2	7	6	0	1	0	0	3	4	94
May 2018	22	4	0	7	15	6	5	3	2	2	0	0	2	1	69
Apr 2018	27	2	1	7	14	7	10	2	1	1	0	2	4	1	79
Mar 2018	23	5	2	3	24	4	8	7	1	0	0	0	7	1	85
Feb 2018	21	6	0	13	11	5	3	7	1	0	1	0	0	0	68
Jan 2018	22	3	0	13	10	12	6	7	0	1	0	0	0	0	74
Dec 2017	13	5	0	6	10	3	9	2	0	0	1	0	1	0	50
Nov 2017	30	2	0	12	11	5	3	4	0	0	1	1	0	0	69
Oct 2017	21	5	1	2	10	2	6	6	1	1	0	0	1	0	56
Sep 2017	29	6	2	3	17	4	5	5	1	2	0	0	0	0	74
Aug 2017	26	14	0	5	14	4	2	6	0	0	0	0	3	0	74
Jul 2017	20	18	1	11	8	4	5	7	3	0	0	2	0	1	80
Jun 2017	24	9	2	0	16	3	10	5	2	0	1	2	0	3	77
May 2017	31	12	0	7	5	5	2	8	2	1	0	0	1	0	74
Apr 2017	18	12	0	0	15	1	5	2	3	0	0	0	2	1	59
Mar 2017	15	3	0	0	22	1	4	5	0	0	0	0	3	1	54
Feb 2017	19	10	0	5	13	4	5	4	2	0	0	1	1	0	64
Jan 2017	20	9	0	1	11	4	8	7	0	3	0	0	1	1	65
Dec 2016	22	14	4	7	17	5	9	4	0	0	1	1	3	0	87
Nov 2016	16	8	1	17	8	4	4	3	0	1	0	0	3	0	65
Oct 2016	23	10	1	7	11	3	5	6	1	0	1	1	2	1	72
Sep 2016	19	18	1	4	8	4	9	13	0	0	1	0	1	0	78
Aug 2016	24	4	3	3	10	1	8	2	0	0	0	0	1	0	56
Jul 2016	32	7	0	17	12	4	7	9	0	0	0	0	3	0	91
Jun 2016	40	2	1	5	10	3	6	7	0	2	0	0	4	0	80
May 2016	44	7	2	5	11	1	7	5	0	1	0	1	0	0	84
Apr 2016	28	2	0	3	8	3	4	6	0	0	1	0	1	1	57
Mar 2016	22	12	0	5	11	1	4	6	1	2	0	0	1	0	65
Feb 2016	21	4	0	2	8	2	4	4	2	0	1	0	0	1	49
Jan 2016	26	6	1	3	13	0	6	3	1	0	0	0	2	0	61
Dec 2015	19	9	0	6	6	2	6	7	3	1	0	0	1	0	60
Nov 2015	20	3	0	2	4	0	6	2	2	0	0	0	0	0	39
Oct 2015	27	8	0	3	5	1	9	5	0	1	0	1	2	0	62
Sep 2015	28	4	1	6	6	3	3	8	1	2	0	0	4	0	66
Aug 2015	41	5	0	3	6	8	9	8	4	0	0	0	0	0	84
Jul 2015	33	7	0	2	4	3	2	5	1	0	0	0	2	0	59
Jun 2015	36	9	1	4	5	1	6	4	1	0	0	0	0	0	67
May 2015	23	16	0	9	6	2	7	3	2	1	0	0	0	1	70
Apr 2015	31	12	0	2	8	2	3	5	1	0	0	1	1	1	67
Mar 2015	24	6	1	0	2	2	4	7	5	1	0	0	0	1	53
Feb 2015	14	7	0	2	2	3	5	4	0	1	0	0	2	0	40
Jan 2015	16	7	0	5	2	3	2	7	0	0	0	0	0	0	42
Dec 2014	13	3	0	7	3	0	5	2	2	0	1	0	0	1	37
Nov 2014	19	0	0	7	4	0	2	3	2	0	0	1	2	1	41
Oct 2014	25	2	0	2	7	1	6	8	3	0	1	0	1	0	56
Sep 2014	33	0	0	0	6	2	5	6	1	0	0	0	5	0	58
Aug 2014	23	2	0	3	4	3	7	9	3	1	0	0	1	0	56
Jul 2014	24	1	0	1	2	2	2	2	1	0	0	0	0	0	35
Jun 2014	22	7	0	1	6	0	4	1	1	0	0	0	1	0	43
May 2014	23	9	0	1	5	3	4	5	3	0	0	0	0	0	53
Apr 2014	30	9	0	3	4	1	2	5	0	0	0	0	0	0	54
Mar 2014	28	9	0	7	6	2	7	4	0	0	0	0	0	0	63
Feb 2014	20	7	0	3	4	0	4	3	1	1	0	0	0	0	43
Jan 2014	19	5	1	2	6	1	10	3	2	0	0	0	1	0	50
Dec 2013	24	6	0	5	3	1	7	5	2	0	1	0	0	0	54
Nov 2013	15	4	0	3	9	3	12	1	1	1	0	0	0	0	49
Oct 2013	33	2	0	4	6	0	8	12	3	1	0	0	2	1	72
Sep 2013	21	5	1	1	11	3	1	3	1	0	0	0	0	0	47
Aug 2013	32	4	1	5	2	2	8	12	0	1	0	0	0	0	67
Jul 2013	41	3	0	2	9	3	4	12	1	1	0	0	1	0	77
Jun 2013	51	3	1	1	5	2	3	2	1	1	0	1	1	0	72
May 2013	42	3	0	4	2	0	2	7	0	0	0	0	0	0	60
Apr 2013	36	8	0	2	4	5	7	8			3	0		0	73
Mar 2013	28	1	0	3	8	5	4	15			3	1		2	70
Feb 2013	25	8	1	1	1	2	2	5			2	0		0	47
Jan 2013	28	2	0	3	4	4	6	6			2	3		1	59
Dec 2012	15	5	1	0	10	1	23	6			1	0		1	63
Nov 2012	13	6	0	2	9	3	3	7			0	0		1	44
Oct 2012	26	6	0	3	13	0	10	8			2	1		0	69
Sep 2012	17	7	0	3	8	3	6	8			0	1		0	53
Aug 2012	29	1	0	4	3	1	7	4			3	1		2	55
Jul 2012	34	3	0	4	7	6	7	15			2	2		1	81
Jun 2012	30	0	1	0	11	6	6	8			0	0		0	62
May 2012	23	3	0	7	6	2	4	7			2	2		1	57
Apr 2012	36	2	0	1	7	1	6	3			0	1		0	57
Mar 2012	31	6	1	1	8	3	6	6			1	1		2	66
Feb 2012	19	2	0	5	2	1	5	3			1	1		0	39
Jan 2012	41	6	0	8	3	2	3	8			2	1		2	76
Dec 2011	34	4	0	5	6	2	6	6			4	1		1	69
Nov 2011	26	5	1	3	1	0	5	5			2	1		1	50
Oct 2011	43	2	0	2	2	0	11	7			1	0		0	68
Sep 2011	35	1	0	3	6	7	11	5			0	0		1	69
Aug 2011	24	7	0	8	3	23									65
Jul 2011	27	3	0	1	3	14									48
Jun 2011	21	4	0	2	0	12									39
May 2011	42	4	0	1	11	15									73
Apr 2011	32	4	0	1	3	21									61
Mar 2011	40	3	0	1	3	17									64
Feb 2011	34	2	0	1	7	11									55
Jan 2011	28	9	0	6	6	24									73
Dec 2010	39	0	0	1	1	6									47

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 TS18 4

Crime Type and ASB Charts for TS18 4

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".