E02005004 MSOA

E02005004

Ashford 009
Residential Population: 12,257 (mid-2020 estimate)

Males: 6,089

Females: 6,168

Population Density: 26.19 Persons per Hectare

Land Area: 467.94 Hectares

Daytime Population: 10,954

Population Density: 23.41 Persons per Hectare

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Crime in E02005004

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Feb 2024	10	8	0	9	11	24	0	7	2	2	1	0	2	4	80
Jan 2024	4	3	0	5	25	41	6	7	1	0	0	0	0	3	95
Dec 2023	4	3	0	2	29	28	8	7	3	0	2	0	1	2	89
Nov 2023	6	0	0	4	29	36	7	7	4	1	1	1	5	3	104
Oct 2023	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1
Sep 2023	19	1	0	4	34	23	11	7	1	3	0	2	6	2	113
Aug 2023	21	6	1	2	43	37	10	6	1	2	1	1	5	6	142
Jul 2023	12	2	0	7	40	34	8	10	5	1	0	2	4	4	129
Jun 2023	15	5	0	7	26	15	8	10	1	2	1	1	1	1	93
May 2023	19	5	1	1	56	20	16	4	2	1	0	1	4	1	131
Apr 2023	11	0	0	3	41	20	6	5	1	2	0	0	3	2	94
Mar 2023	11	3	0	3	31	19	6	6	2	0	1	1	2	4	89
Feb 2023	14	0	1	2	33	22	10	7	1	1	1	1	6	2	101
Jan 2023	11	4	0	5	25	39	3	5	2	0	0	1	6	0	101
Dec 2022	15	2	1	4	33	28	5	9	0	1	1	0	7	1	107
Nov 2022	6	1	0	4	27	12	11	11	3	2	0	2	2	1	82
Oct 2022	11	1	0	9	39	8	7	11	2	5	0	0	5	5	103
Sep 2022	8	1	0	0	38	11	3	4	0	1	0	0	6	1	73
Aug 2022	19	1	1	3	28	8	9	11	1	0	1	0	7	1	90
Jul 2022	11	0	0	4	35	8	7	10	0	1	0	0	9	7	92
Jun 2022	17	3	2	2	54	22	5	4	1	3	0	0	13	3	129
May 2022	25	1	2	1	47	12	4	13	3	1	1	0	8	2	120
Apr 2022	9	6	1	2	32	17	12	11	1	1	0	0	6	5	103
Mar 2022	10	4	1	5	33	31	6	12	0	1	1	0	4	1	109
Feb 2022	12	5	0	2	31	19	15	7	0	0	1	0	3	3	98
Jan 2022	13	5	0	2	40	14	11	7	2	0	1	0	3	6	104
Dec 2021	8	2	1	3	39	17	9	5	2	1	0	2	10	4	103
Nov 2021	6	3	1	2	40	29	11	8	0	3	1	1	10	6	121
Oct 2021	10	5	1	3	47	6	8	4	2	4	0	0	7	5	102
Sep 2021	14	3	0	0	51	13	9	6	0	1	1	0	4	1	103
Aug 2021	33	2	0	1	29	8	5	4	1	2	1	0	7	2	95
Jul 2021	22	2	0	11	54	11	7	8	2	0	2	0	5	4	128
Jun 2021	16	2	0	1	35	8	6	2	0	5	0	1	4	4	84
May 2021	22	0	0	0	56	12	11	6	0	1	0	0	8	0	116
Apr 2021	20	2	0	3	33	4	14	9	2	1	1	0	8	4	101
Mar 2021	29	1	0	2	39	4	9	5	2	0	0	0	4	8	103
Feb 2021	31	1	0	5	17	2	7	8	3	0	0	0	5	2	81
Jan 2021	25	4	0	3	25	1	5	9	1	0	0	0	9	3	85
Dec 2020	22	0	0	6	37	4	5	10	2	0	0	0	6	4	96
Nov 2020	20	5	0	1	28	4	6	2	3	2	0	0	6	1	78
Oct 2020	10	3	2	1	26	4	8	12	1	2	2	0	5	2	78
Sep 2020	19	0	0	1	44	5	14	6	1	2	0	0	9	4	105
Aug 2020	13	2	0	4	47	11	15	7	1	1	0	0	6	6	113
Jul 2020	22	2	1	5	51	6	11	7	1	0	2	0	3	1	112
Jun 2020	20	2	1	4	28	5	8	6	1	0	0	0	3	1	79
May 2020	42	0	4	0	31	3	10	5	5	2	0	1	5	2	110
Apr 2020	45	3	0	2	29	5	5	9	4	2	0	0	7	2	113
Mar 2020	17	2	1	7	39	17	10	5	1	0	1	1	7	3	111
Feb 2020	18	5	0	5	29	14	13	9	1	2	1	0	4	2	103
Jan 2020	11	3	1	5	29	10	7	9	3	2	1	1	8	1	91
Dec 2019	5	4	2	5	26	22	11	8	2	2	0	0	2	6	95
Nov 2019	17	5	2	9	35	14	7	3	0	2	1	1	4	2	102
Oct 2019	15	6	2	15	33	19	10	3	0	0	2	0	12	1	118
Sep 2019	21	5	2	7	31	10	10	14	2	4	3	0	8	5	122
Aug 2019	18	1	0	7	42	13	7	10	0	5	1	0	9	1	114
Jul 2019	23	1	2	6	27	14	12	11	0	7	0	1	3	5	112
Jun 2019	21	3	1	3	41	25	6	7	4	3	1	0	10	3	128
May 2019	15	1	1	0	22	3	7	2	0	2	0	0	3	1	57
Apr 2019	16	2	3	4	38	29	16	11	2	2	0	0	3	3	129
Mar 2019	10	4	1	9	29	18	11	4	1	5	2	2	11	5	112
Feb 2019	10	5	1	10	37	5	11	11	3	4	0	2	7	3	109
Jan 2019	12	5	2	6	57	22	13	6	2	1	1	1	8	4	140
Dec 2018	19	0	1	4	8	6	7	3	1	1	0	1	1	1	53
Nov 2018	16	4	0	3	24	18	10	6	3	1	0	1	6	0	92
Oct 2018	10	6	0	6	55	42	13	16	2	4	0	3	9	6	172
Sep 2018	15	10	2	6	80	31	18	11	1	5	5	0	17	2	203
Aug 2018	24	7	1	7	58	27	10	13	0	6	0	0	14	5	172
Jul 2018	17	4	0	0	53	10	13	12	2	5	0	0	19	4	139
Jun 2018	10	11	0	6	35	9	10	21	0	2	0	2	17	6	129
May 2018	3	5	1	2	41	14	15	7	1	2	1	0	16	4	112
Apr 2018	9	4	0	3	42	11	13	13	2	2	4	0	14	1	118
Mar 2018	9	7	0	7	52	13	12	9	2	1	1	0	20	2	135
Feb 2018	8	6	0	9	31	13	11	6	5	1	0	1	4	3	98
Jan 2018	11	5	3	7	49	13	14	10	2	0	0	1	10	2	127
Dec 2017	10	6	1	2	32	20	10	7	2	3	2	0	5	2	102
Nov 2017	11	5	1	3	36	16	8	10	0	6	0	0	3	4	103
Oct 2017	8	3	2	0	59	16	6	14	1	7	0	0	11	3	130
Sep 2017	15	13	0	6	33	9	15	11	1	3	2	0	12	4	124
Aug 2017	18	7	2	3	50	12	9	14	0	1	0	0	6	12	134
Jul 2017	13	4	0	1	35	21	10	12	1	3	1	0	4	3	108
Jun 2017	11	6	0	3	33	7	15	8	0	3	0	0	5	1	92
May 2017	13	8	3	4	32	15	12	8	0	5	5	1	14	2	122
Apr 2017	23	4	0	7	23	11	17	9	0	6	2	0	3	0	105
Mar 2017	12	4	0	0	24	13	18	12	1	4	2	0	2	4	96
Feb 2017	16	3	1	0	19	15	12	17	2	1	1	1	3	0	91
Jan 2017	16	5	0	6	26	8	12	16	1	1	0	1	3	0	95
Dec 2016	11	7	0	7	32	17	7	7	1	0	0	0	2	3	94
Nov 2016	11	3	0	3	17	21	14	10	0	1	0	0	1	2	83
Oct 2016	18	8	0	10	13	10	4	6	0	6	1	1	2	0	79
Sep 2016	18	6	0	7	19	16	10	12	1	8	1	0	2	0	100
Aug 2016	27	7	1	1	24	23	9	10	1	10	1	1	4	0	119
Jul 2016	14	5	6	6	18	22	13	8	2	2	1	1	1	0	99
Jun 2016	14	4	1	8	15	15	11	14	1	6	0	0	1	2	92
May 2016	14	6	0	2	15	18	12	4	0	2	1	0	1	1	76
Apr 2016	15	5	2	5	19	22	12	13	1	1	0	0	1	1	97
Mar 2016	14	8	0	2	16	23	5	14	2	1	1	0	2	0	88
Feb 2016	15	7	0	0	21	15	11	2	2	1	0	0	1	1	76
Jan 2016	9	7	0	3	8	17	8	6	2	0	1	0	2	3	66
Dec 2015	13	2	1	1	11	31	12	2	3	2	2	1	3	0	84
Nov 2015	8	3	0	4	19	20	9	8	4	7	0	0	0	1	83
Oct 2015	15	3	1	6	14	23	5	7	2	2	2	1	1	0	82
Sep 2015	9	3	1	4	18	18	5	7	4	2	2	1	1	0	75
Aug 2015	17	8	0	6	18	24	11	13	2	3	1	0	2	0	105
Jul 2015	23	5	1	5	30	15	11	12	0	4	0	0	3	1	110
Jun 2015	16	5	2	4	15	21	7	7	0	4	0	0	1	1	83
May 2015	16	5	2	4	20	16	5	5	1	5	2	0	0	0	81
Apr 2015	14	5	0	3	24	22	4	6	1	6	0	0	3	0	88
Mar 2015	13	6	0	1	22	19	14	10	2	2	1	0	2	2	94
Feb 2015	9	3	2	5	15	16	14	9	1	2	0	0	2	3	81
Jan 2015	11	1	1	3	20	13	7	8	1	1	0	0	1	1	68
Dec 2014	6	2	1	2	12	18	7	5	1	0	0	0	0	0	54
Nov 2014	18	2	0	2	20	9	8	6	0	0	1	0	4	2	72
Oct 2014	22	9	0	5	20	13	10	6	1	2	2	2	1	3	96
Sep 2014	17	4	0	2	20	15	7	7	1	4	0	0	2	1	80
Aug 2014	14	3	0	5	20	15	6	9	2	4	1	0	7	0	86
Jul 2014	15	7	0	3	15	12	10	8	1	2	1	0	1	0	75
Jun 2014	15	2	0	4	13	15	12	7	0	5	1	0	3	1	78
May 2014	13	4	0	6	17	16	9	6	1	5	3	0	3	0	83
Apr 2014	24	4	1	4	13	27	7	9	0	4	0	0	1	0	94
Mar 2014	23	4	0	4	4	16	11	16	1	4	0	0	1	1	85
Feb 2014	11	2	2	1	9	18	4	10	0	0	1	0	2	1	61
Jan 2014	6	1	1	4	10	20	1	9	4	1	0	0	2	0	59
Dec 2013	6	6	1	2	16	11	8	19	2	2	0	0	2	1	76
Nov 2013	12	4	0	2	11	21	3	6	1	6	1	0	3	3	73
Oct 2013	22	3	0	5	17	12	5	9	2	2	1	1	2	0	81
Sep 2013	20	5	0	1	19	4	9	7	0	7	2	0	0	1	75
Aug 2013	31	6	0	2	16	9	4	9	1	2	0	0	0	2	82
Jul 2013	26	2	0	1	16	14	6	12	1	2	0	0	0	1	81
Jun 2013	13	5	0	3	7	13	8	6	0	2	0	0	0	0	57
May 2013	30	14	0	3	6	11	5	8	1	1	1	0	1	1	82
Apr 2013	26	4	0	13	6	21	8	8			1	0		1	88
Mar 2013	17	0	2	3	11	12	9	6			1	0		2	63
Feb 2013	23	4	1	8	8	23	7	8			4	0		3	89
Jan 2013	44	11	0	3	15	14	13	7			8	2		1	118
Dec 2012	28	13	0	7	14	19	12	6			3	0		1	103
Nov 2012	33	3	1	5	11	25	13	9			0	1		2	103
Oct 2012	27	2	0	5	7	15	6	14			2	0		3	81
Sep 2012	31	6	0	4	11	7	4	13			0	2		5	83
Aug 2012	43	1	0	6	14	18	4	8			3	1		1	99
Jul 2012	28	4	0	4	11	18	2	15			5	2		3	92
Jun 2012	35	9	0	4	10	14	5	13			3	2		10	105
May 2012	47	1	0	5	15	23	7	2			2	1		3	106
Apr 2012	27	9	1	6	9	18	8	4			1	1		5	89
Mar 2012	42	9	0	6	10	22	8	13			3	3		4	120
Feb 2012	38	4	0	7	7	17	1	9			6	1		4	94
Jan 2012	36	4	1	4	11	17	15	9			1	0		6	104
Dec 2011	12	7	1	20	9	20	6	13			3	2		2	95
Nov 2011	25	15	0	2	2	5	14	16			0	1		3	83
Oct 2011	35	3	0	4	10	12	14	19			2	2		5	106
Sep 2011	21	4	2	6	8	14	8	12			0	0		3	78
Aug 2011	48	5	0	8	16	50									127
Jul 2011	45	5	0	3	11	30									94
Jun 2011	39	5	0	6	9	47									106
May 2011	35	6	1	3	10	35									90
Apr 2011	29	5	0	3	11	44									92
Mar 2011	30	6	1	7	18	39									101
Feb 2011	28	1	0	5	10	32									76
Jan 2011	21	1	0	5	3	27									57
Dec 2010	25	5	1	6	3	15									55

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 E02005004

Crime Type and ASB Charts for E02005004

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".