W02000073 MSOA

W02000073

Flintshire 016
Residential Population: 10,209 (mid-2020 estimate)

Males: 4,943

Females: 5,266

Population Density: 16.00 Persons per Hectare

Land Area: 638.03 Hectares

Daytime Population: 13,676

Population Density: 21.43 Persons per Hectare

Jump to: Maps | Crime Trends | Property Sales | Energy Data | Road Accidents

Loading map...

Crime in W02000073

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Feb 2024	21	4	0	0	22	7	7	4	0	0	0	0	9	2	76
Jan 2024	35	5	0	15	49	12	5	3	2	2	0	2	4	0	134
Dec 2023	17	2	0	1	51	11	9	1	1	0	0	1	8	6	108
Nov 2023	19	2	0	3	32	10	17	2	2	1	0	0	8	0	96
Oct 2023	20	2	0	2	38	24	14	3	1	0	0	0	8	5	117
Sep 2023	31	1	0	1	53	13	9	4	6	0	0	2	10	1	131
Aug 2023	36	3	0	2	46	15	14	7	3	0	0	1	9	2	138
Jul 2023	30	4	0	0	28	10	7	2	1	0	0	1	7	3	93
Jun 2023	34	4	1	4	38	8	7	2	3	0	0	1	8	0	110
May 2023	28	1	0	2	42	7	11	1	0	0	0	0	10	2	104
Apr 2023	45	6	0	1	29	9	6	8	3	0	0	3	9	0	119
Mar 2023	29	0	0	3	52	10	9	4	2	0	0	2	8	2	121
Feb 2023	30	3	0	1	33	14	15	4	1	0	0	1	9	0	111
Jan 2023	20	3	1	1	30	15	8	4	2	0	0	0	5	0	89
Dec 2022	17	0	0	0	46	5	5	9	0	0	0	2	8	2	94
Nov 2022	17	1	0	2	62	10	9	2	2	0	0	0	8	0	113
Oct 2022	25	1	0	2	32	24	8	9	2	0	0	0	13	0	116
Sep 2022	26	4	0	0	51	7	6	3	0	1	0	1	9	0	108
Aug 2022	28	5	0	1	38	8	10	2	1	0	1	1	14	0	109
Jul 2022	23	0	0	1	48	2	7	5	3	2	0	0	15	1	107
Jun 2022	15	3	0	1	55	9	11	8	1	0	1	0	10	5	119
May 2022	28	1	0	2	43	7	7	6	5	0	0	0	17	5	121
Apr 2022	33	1	1	3	32	7	9	5	0	0	0	0	16	2	109
Mar 2022	36	0	0	3	62	9	6	2	6	0	2	0	19	1	146
Feb 2022	30	7	0	8	46	4	13	5	4	0	0	0	10	0	127
Jan 2022	27	3	0	4	51	8	6	2	1	0	0	0	13	2	117
Dec 2021	28	4	0	0	48	5	11	8	4	0	2	1	11	3	125
Nov 2021	23	5	1	10	45	3	14	3	3	1	2	0	25	1	136
Oct 2021	25	5	0	2	47	5	9	1	2	2	0	0	17	1	116
Sep 2021	31	1	0	1	48	6	12	5	0	0	0	0	30	2	136
Aug 2021	28	3	2	0	38	6	13	3	0	0	0	2	25	3	123
Jul 2021	35	3	0	1	43	10	13	0	2	1	0	1	13	2	124
Jun 2021	31	1	0	0	47	13	16	5	0	2	0	0	17	0	132
May 2021	40	3	1	0	46	8	8	5	0	0	0	0	18	2	131
Apr 2021	26	4	0	0	42	3	4	2	0	0	0	0	10	2	93
Mar 2021	24	3	2	2	28	10	11	2	2	0	1	0	18	2	105
Feb 2021	26	2	0	2	38	2	6	4	3	0	0	0	2	1	86
Jan 2021	18	4	1	3	34	7	9	4	2	0	0	0	4	0	86
Dec 2020	24	3	1	0	37	0	6	2	1	1	1	0	12	3	91
Nov 2020	57	4	0	1	34	3	8	13	0	0	0	2	14	0	136
Oct 2020	43	2	0	0	31	6	10	3	4	0	0	1	9	3	112
Sep 2020	49	1	0	1	46	4	10	4	0	0	0	0	18	0	133
Aug 2020	33	0	0	2	39	5	9	8	3	0	0	0	10	0	109
Jul 2020	16	6	0	2	49	3	9	3	2	1	0	0	7	1	99
Jun 2020	23	0	1	0	36	3	7	6	2	0	1	0	14	3	96
May 2020	41	3	0	2	42	3	8	5	4	0	0	1	14	0	123
Apr 2020	29	1	0	2	23	3	4	2	3	0	0	0	8	0	75
Mar 2020	23	0	0	4	37	2	4	4	1	0	0	1	9	1	86
Feb 2020	18	5	1	1	30	6	8	2	1	1	2	1	7	1	84
Jan 2020	33	9	0	5	27	5	6	7	3	0	1	0	11	2	109
Dec 2019	19	4	0	2	25	4	10	12	0	1	0	0	6	1	84
Nov 2019	28	3	0	2	43	6	12	8	1	0	1	0	6	0	110
Oct 2019	20	3	0	2	39	6	9	6	1	0	0	1	5	2	94
Sep 2019	23	0	0	2	36	6	7	3	3	0	0	0	9	3	92
Aug 2019	26	2	1	5	34	11	7	8	1	0	0	1	11	0	107
Jul 2019	19	3	0	3	33	7	6	9	8	0	1	0	7	1	97
Jun 2019	14	0	1	2	21	2	11	3	2	0	1	2	6	0	65
May 2019	37	4	0	2	45	3	17	8	4	0	1	0	15	1	137
Apr 2019	17	2	0	4	38	12	7	8	3	1	0	1	13	1	107
Mar 2019	17	4	0	1	31	17	7	8	1	2	1	0	10	2	101
Feb 2019	19	1	0	4	35	20	5	4	4	0	0	2	5	0	99
Jan 2019	19	5	0	6	55	11	21	8	0	1	3	0	6	0	135
Dec 2018	30	1	1	4	35	1	13	6	2	0	2	2	8	1	106
Nov 2018	20	6	1	1	32	7	8	9	2	1	0	0	10	1	98
Oct 2018	23	4	0	0	28	4	14	17	0	0	1	0	7	3	101
Sep 2018	21	4	0	4	35	16	3	12	2	0	1	1	9	2	110
Aug 2018	27	3	1	4	22	10	8	9	2	0	0	0	8	2	96
Jul 2018	12	2	0	1	42	14	10	5	3	4	1	3	4	0	101
Jun 2018	23	1	0	5	25	8	8	9	3	2	1	0	5	4	94
May 2018	23	5	0	5	21	7	6	18	2	1	1	1	4	0	94
Apr 2018	30	4	0	4	24	11	2	6	3	0	0	0	9	1	94
Mar 2018	28	5	0	3	24	6	9	5	1	1	1	1	3	1	88
Feb 2018	17	1	2	2	35	6	13	3	2	0	1	1	4	0	87
Jan 2018	15	3	0	1	24	9	11	10	0	0	1	1	8	1	84
Dec 2017	29	7	0	5	27	8	7	8	4	0	1	0	4	1	101
Nov 2017	29	3	0	2	26	3	6	2	2	0	0	0	1	1	75
Oct 2017	17	6	0	9	29	10	10	7	1	1	1	0	1	0	92
Sep 2017	17	3	0	4	20	5	10	5	0	1	0	0	1	1	67
Aug 2017	27	2	0	3	21	20	6	9	5	0	1	0	3	1	98
Jul 2017	25	5	0	4	27	7	17	7	3	0	0	1	2	3	101
Jun 2017	25	6	0	1	25	8	9	7	3	0	1	3	0	3	91
May 2017	32	4	0	9	17	12	13	15	2	2	1	0	2	3	112
Apr 2017	29	3	0	5	14	6	6	11	3	1	0	0	4	1	83
Mar 2017	35	6	0	11	19	15	12	9	4	0	2	1	5	1	120
Feb 2017	27	9	0	8	13	12	5	2	3	0	0	1	3	1	84
Jan 2017	21	6	0	16	17	6	8	10	2	0	1	3	1	1	92
Dec 2016	33	5	0	4	17	10	1	5	6	2	1	1	3	1	89
Nov 2016	27	3	0	1	17	3	5	6	3	1	0	0	1	2	69
Oct 2016	26	6	0	2	17	6	7	1	3	0	0	1	2	2	73
Sep 2016	22	5	1	0	15	11	5	4	4	0	0	1	4	0	72
Aug 2016	31	3	0	4	15	6	9	9	2	1	2	1	3	0	86
Jul 2016	28	3	0	3	14	9	8	7	2	0	0	0	5	0	79
Jun 2016	39	3	0	2	20	12	1	9	1	0	3	0	2	1	93
May 2016	34	8	0	1	22	14	8	15	0	2	2	1	2	2	111
Apr 2016	50	2	1	2	20	12	7	8	0	1	0	0	2	4	109
Mar 2016	34	4	0	3	25	4	4	6	1	1	0	0	0	3	85
Feb 2016	27	5	0	11	27	9	7	6	4	0	0	0	3	0	99
Jan 2016	33	1	0	4	9	4	26	5	2	0	0	0	1	1	86
Dec 2015	25	1	0	3	16	8	5	11	2	0	2	0	0	1	74
Nov 2015	37	2	0	3	19	9	10	6	2	0	1	0	1	1	91
Oct 2015	41	7	0	6	16	9	11	2	0	0	0	0	2	0	94
Sep 2015	41	10	0	1	15	3	3	9	2	1	0	0	4	0	89
Aug 2015	31	10	1	3	13	18	5	4	1	0	0	1	0	0	87
Jul 2015	27	6	1	3	19	11	7	6	6	0	0	0	0	1	87
Jun 2015	32	6	0	14	13	16	15	3	1	0	1	1	1	0	103
May 2015	47	2	0	2	8	15	8	6	5	0	1	0	3	1	98
Apr 2015	46	0	0	4	11	6	12	3	0	0	0	0	3	0	85
Mar 2015	24	3	0	8	7	10	3	5	2	0	1	0	0	0	63
Feb 2015	24	6	0	8	13	11	5	6	2	1	1	0	1	0	78
Jan 2015	16	0	0	11	6	32	11	2	2	0	0	0	2	0	82
Dec 2014	23	1	0	3	12	5	3	6	0	0	2	0	0	0	55
Nov 2014	23	6	0	2	6	18	13	6	4	0	2	2	1	0	83
Oct 2014	29	6	0	5	15	14	4	5	0	0	1	0	1	0	80
Sep 2014	43	2	0	1	13	8	3	6	5	1	1	0	1	0	84
Aug 2014	42	2	0	3	20	1	7	2	0	0	0	0	0	0	77
Jul 2014	42	4	0	1	19	3	8	2	2	0	0	0	3	0	84
Jun 2014	25	8	0	1	12	16	4	5	1	0	0	0	2	1	75
May 2014	31	9	0	3	13	14	7	14	1	3	3	0	1	1	100
Apr 2014	20	4	1	0	11	4	8	5	1	1	0	0	3	1	59
Mar 2014	32	5	0	1	12	6	8	4	1	1	0	1	1	2	74
Feb 2014	17	8	0	3	4	10	7	7	1	2	1	0	1	1	62
Jan 2014	26	4	0	6	12	8	3	7	0	1	1	1	1	0	70
Dec 2013	27	9	0	2	4	14	9	5	2	0	0	0	1	0	73
Nov 2013	43	5	0	0	5	12	9	5	2	1	0	0	0	0	82
Oct 2013	38	9	1	4	11	9	8	5	1	1	1	0	3	0	91
Sep 2013	36	10	0	7	13	14	7	8	4	1	1	0	0	1	102
Aug 2013	44	5	0	3	12	6	9	5	0	0	0	0	3	0	87
Jul 2013	42	6	0	4	12	11	8	6	1	0	1	0	1	0	92
Jun 2013	46	14	2	4	15	13	7	9	3	1	0	0	1	0	115
May 2013	34	8	0	2	14	3	11	8	4	0	1	0	3	0	88
Apr 2013	43	15	1	2	13	14	7	10			0	1		2	108
Mar 2013	28	8	0	3	12	7	6	5			2	3		3	77
Feb 2013	29	5	0	6	5	11	7	7			1	3		0	74
Jan 2013	35	6	0	6	10	6	9	11			4	2		3	92
Dec 2012	33	6	0	2	12	6	4	4			1	3		2	73
Nov 2012	45	4	0	1	4	8	3	6			0	1		1	73
Oct 2012	37	4	0	7	12	10	5	8			5	2		3	93
Sep 2012	39	2	2	4	11	13	11	9			2	5		2	100
Aug 2012	35	6	0	2	7	4	11	7			1	5		4	82
Jul 2012	36	5	0	4	8	12	8	5			3	2		3	86
Jun 2012	47	6	0	2	12	8	7	4			3	1		0	90
May 2012	38	2	2	0	15	6	9	8			2	5		4	91
Apr 2012	36	4	1	4	11	5	9	4			2	2		3	81
Mar 2012	36	11	0	6	4	13	4	8			2	3		2	89
Feb 2012	30	8	0	8	10	6	9	6			0	1		6	84
Jan 2012	26	1	0	0	12	7	7	8			1	1		0	63
Dec 2011	28	5	0	5	9	6	8	5			3	2		2	73
Nov 2011	50	2	0	2	11	5	9	5			2	2		7	95
Oct 2011	52	3	0	2	12	10	7	9			3	1		7	106
Sep 2011	40	6	0	1	6	8	6	8			4	1		2	82
Aug 2011	55	3	0	1	11	24									94
Jul 2011	55	5	0	1	14	34									109
Jun 2011	38	2	0	1	14	25									80
May 2011	35	1	0	1	10	30									77
Apr 2011	40	1	0	2	9	23									75
Mar 2011	41	7	1	1	12	31									93
Feb 2011	47	4	0	2	11	26									90
Jan 2011	36	1	0	3	8	26									74
Dec 2010	50	4	0	1	12	26									93

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 W02000073

Crime Type and ASB Charts for W02000073

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".