W02000036 MSOA

W02000036

Conwy 010
Residential Population: 11,116 (mid-2020 estimate)

Males: 5,266

Females: 5,850

Population Density: 6.64 Persons per Hectare

Land Area: 1674.34 Hectares

Daytime Population: 9,298

Population Density: 5.55 Persons per Hectare

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Crime in W02000036

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Feb 2024	28	0	0	1	53	11	7	4	1	0	0	1	7	4	117
Jan 2024	13	0	0	0	40	10	12	8	0	0	0	0	6	2	91
Dec 2023	20	1	0	2	55	9	8	8	0	0	0	0	4	2	109
Nov 2023	17	0	1	1	44	2	6	3	0	0	0	2	10	5	91
Oct 2023	30	2	0	3	38	6	7	6	4	0	0	1	6	0	103
Sep 2023	19	4	1	2	43	4	4	7	1	0	0	3	13	0	101
Aug 2023	23	3	1	1	34	2	9	8	5	0	0	0	10	1	97
Jul 2023	17	4	0	0	43	7	8	7	1	0	0	1	7	4	99
Jun 2023	28	2	0	2	42	12	7	6	1	2	0	0	4	2	108
May 2023	38	2	0	1	41	3	16	10	0	1	0	0	9	4	125
Apr 2023	23	0	0	0	63	6	16	6	0	2	0	0	5	2	123
Mar 2023	11	4	0	0	47	3	8	5	0	0	0	2	11	4	95
Feb 2023	28	4	0	1	33	8	9	11	2	0	0	1	7	3	107
Jan 2023	26	2	0	0	38	4	11	10	1	0	1	0	5	0	98
Dec 2022	15	1	0	0	47	5	8	7	1	0	0	0	6	1	91
Nov 2022	13	4	0	0	30	5	11	10	2	0	0	0	3	2	80
Oct 2022	23	3	0	1	50	5	8	5	2	0	0	2	10	1	110
Sep 2022	30	7	1	1	52	11	6	4	2	1	0	1	7	2	125
Aug 2022	29	4	1	2	74	8	15	2	1	0	0	2	15	2	155
Jul 2022	18	4	3	1	51	7	9	8	0	0	1	0	14	2	118
Jun 2022	23	1	1	0	54	3	11	8	3	1	0	1	11	2	119
May 2022	35	5	0	1	67	9	15	4	2	0	1	1	14	3	157
Apr 2022	30	4	1	0	45	9	7	1	0	0	1	0	7	1	106
Mar 2022	30	3	0	1	46	7	10	3	2	1	0	0	19	1	123
Feb 2022	15	3	0	1	48	8	15	5	0	0	0	0	10	3	108
Jan 2022	22	3	1	0	61	6	10	4	0	0	0	0	9	0	116
Dec 2021	16	3	1	0	45	2	12	3	0	0	0	0	13	3	98
Nov 2021	11	0	2	0	52	0	2	4	2	0	0	1	11	2	87
Oct 2021	29	2	1	2	40	1	12	2	1	0	0	0	13	0	103
Sep 2021	19	1	0	2	44	2	5	3	4	0	0	0	20	1	101
Aug 2021	24	5	0	2	44	6	7	3	1	2	0	2	15	0	111
Jul 2021	31	1	0	2	49	5	7	4	0	1	0	0	11	3	114
Jun 2021	24	2	0	2	34	4	8	5	0	0	0	0	13	2	94
May 2021	33	3	0	3	61	1	5	4	1	2	0	0	23	3	139
Apr 2021	32	0	0	2	49	7	11	2	2	0	0	0	18	0	123
Mar 2021	25	0	0	1	51	3	8	5	3	0	0	1	11	4	112
Feb 2021	21	1	1	2	40	5	4	3	1	0	0	1	7	1	87
Jan 2021	21	1	1	0	33	2	6	4	2	0	0	0	13	7	90
Dec 2020	16	4	0	1	38	1	11	1	3	0	1	0	4	1	81
Nov 2020	23	5	0	2	38	7	7	3	2	0	0	0	13	3	103
Oct 2020	23	5	0	0	63	1	10	5	2	0	0	0	9	2	120
Sep 2020	30	4	0	0	56	3	9	2	1	2	0	0	11	4	122
Aug 2020	29	7	0	3	62	4	12	5	1	0	0	0	20	4	147
Jul 2020	26	9	0	1	59	4	15	3	0	1	0	0	14	2	134
Jun 2020	31	7	0	0	36	1	5	6	1	0	0	1	11	3	102
May 2020	36	4	0	1	29	5	11	5	1	0	0	0	8	3	103
Apr 2020	47	2	0	2	54	7	8	5	3	2	0	0	13	1	144
Mar 2020	40	2	0	4	56	7	9	3	1	0	0	0	18	3	143
Feb 2020	40	2	0	2	61	6	7	5	2	0	2	0	7	1	135
Jan 2020	14	3	0	3	44	6	8	8	2	2	0	0	16	2	108
Dec 2019	15	4	0	0	33	7	12	4	1	0	0	1	10	1	88
Nov 2019	12	4	1	2	33	2	10	6	2	0	0	1	7	1	81
Oct 2019	28	4	0	1	34	5	3	5	4	1	0	0	9	4	98
Sep 2019	21	3	0	3	31	6	6	3	1	0	0	0	7	0	81
Aug 2019	27	6	0	3	55	7	18	9	1	1	0	0	14	2	143
Jul 2019	25	8	0	4	46	10	10	7	4	0	1	0	6	5	126
Jun 2019	13	3	1	4	47	6	12	9	3	1	0	0	10	0	109
May 2019	20	12	2	2	43	4	5	6	0	3	0	0	6	0	103
Apr 2019	26	11	0	3	31	6	8	8	0	2	1	0	8	2	106
Mar 2019	4	8	0	2	52	6	10	4	3	2	1	0	11	6	109
Feb 2019	15	7	0	0	42	5	8	3	2	0	0	0	4	0	86
Jan 2019	14	8	1	3	50	7	6	3	0	0	0	0	7	1	100
Dec 2018	10	3	0	5	42	13	10	10	0	0	0	3	15	0	111
Nov 2018	15	8	0	7	73	9	10	6	0	1	2	0	7	2	140
Oct 2018	17	7	0	1	54	10	13	4	0	0	0	0	8	1	115
Sep 2018	13	12	1	4	35	11	10	4	0	0	0	0	2	4	96
Aug 2018	29	10	1	4	71	9	15	4	3	3	0	0	9	2	160
Jul 2018	21	14	0	3	38	8	20	4	1	2	0	0	7	0	118
Jun 2018	34	10	0	11	47	11	14	13	3	2	0	1	15	3	164
May 2018	23	8	0	1	41	4	15	11	3	3	0	0	11	4	124
Apr 2018	23	7	1	1	44	17	2	4	1	2	0	2	4	0	108
Mar 2018	13	13	0	1	47	8	9	8	0	0	1	0	12	2	114
Feb 2018	10	21	1	1	34	9	13	26	4	0	0	0	1	0	120
Jan 2018	19	17	0	2	27	7	17	3	2	2	0	0	5	2	103
Dec 2017	11	7	0	0	47	5	11	15	1	1	0	0	5	1	104
Nov 2017	21	5	0	3	41	5	7	6	1	0	0	1	7	4	101
Oct 2017	9	8	0	3	25	6	5	6	2	1	1	0	2	0	68
Sep 2017	16	5	0	0	22	12	9	7	1	1	0	0	4	1	78
Aug 2017	28	6	0	3	34	16	16	6	1	2	0	0	8	1	121
Jul 2017	23	9	0	2	32	7	8	4	2	0	1	0	4	3	95
Jun 2017	22	2	0	1	29	5	11	9	0	0	0	0	2	2	83
May 2017	26	12	0	5	22	4	5	4	1	0	0	0	4	3	86
Apr 2017	21	4	0	2	28	1	15	1	1	0	0	0	1	1	75
Mar 2017	21	20	1	3	18	6	6	5	1	0	0	0	3	3	87
Feb 2017	18	1	0	4	15	3	3	2	1	0	0	1	1	0	49
Jan 2017	12	1	0	1	17	13	2	9	0	0	1	0	3	1	60
Dec 2016	14	3	0	0	21	8	7	6	0	0	0	0	2	1	62
Nov 2016	12	7	1	1	23	11	8	9	0	0	0	0	1	0	73
Oct 2016	35	3	0	1	16	5	9	5	1	4	0	0	3	0	82
Sep 2016	16	7	0	0	17	15	13	6	2	0	1	1	1	0	79
Aug 2016	26	12	0	2	20	9	9	5	1	1	0	0	2	1	88
Jul 2016	14	11	0	3	28	8	8	6	0	1	0	0	2	0	81
Jun 2016	20	8	0	1	22	11	8	8	0	0	0	0	2	1	81
May 2016	38	4	0	4	13	5	6	12	0	0	0	0	0	0	82
Apr 2016	34	13	0	1	21	12	7	6	0	1	0	1	2	0	98
Mar 2016	28	10	1	0	25	14	13	7	2	1	0	0	1	1	103
Feb 2016	33	15	0	1	19	2	29	6	0	0	0	0	1	1	107
Jan 2016	28	3	0	1	20	1	7	7	2	0	1	0	2	0	72
Dec 2015	16	10	0	1	14	1	2	9	0	1	0	1	0	0	55
Nov 2015	17	6	0	2	13	6	6	3	2	0	0	0	1	0	56
Oct 2015	28	6	0	0	20	2	6	8	0	1	0	0	1	3	75
Sep 2015	23	3	0	4	21	2	11	6	1	1	0	0	4	0	76
Aug 2015	33	5	0	2	26	5	8	5	0	3	0	0	1	0	88
Jul 2015	23	6	1	1	19	9	7	11	1	1	0	0	1	0	80
Jun 2015	17	8	1	1	15	9	10	10	1	1	0	0	6	0	79
May 2015	29	4	1	2	12	2	10	5	2	2	0	2	2	1	74
Apr 2015	24	4	0	1	9	3	4	8	1	1	0	1	2	1	59
Mar 2015	31	9	0	4	6	6	3	8	1	2	1	0	0	1	72
Feb 2015	34	2	0	0	20	6	5	7	3	1	0	0	1	2	81
Jan 2015	19	1	1	2	8	1	7	11	0	2	0	0	2	0	54
Dec 2014	14	6	0	5	14	2	3	4	0	0	1	0	1	0	50
Nov 2014	19	1	0	0	9	6	8	2	1	1	1	0	3	0	51
Oct 2014	39	4	0	0	19	4	15	11	0	0	0	1	0	1	94
Sep 2014	34	0	0	2	15	2	7	11	2	0	1	0	1	0	75
Aug 2014	34	6	1	1	9	4	3	5	6	2	0	0	0	0	71
Jul 2014	59	4	0	0	15	5	5	5	0	0	0	0	0	0	93
Jun 2014	51	3	0	0	13	5	7	7	1	0	0	1	1	0	89
May 2014	36	5	0	1	14	10	6	3	1	0	1	0	3	0	80
Apr 2014	23	4	1	1	11	7	5	3	1	0	0	0	0	0	56
Mar 2014	38	7	0	3	8	7	10	6	0	1	1	0	2	1	84
Feb 2014	33	2	0	1	13	11	6	2	1	0	2	0	2	0	73
Jan 2014	20	2	1	3	9	11	11	6	0	0	0	0	1	0	64
Dec 2013	19	11	0	2	14	6	9	7	4	1	0	0	0	0	73
Nov 2013	16	10	0	1	7	7	6	13	4	0	0	0	0	1	65
Oct 2013	30	5	0	0	15	8	5	4	3	1	0	0	2	2	75
Sep 2013	32	2	0	1	10	4	11	8	2	0	0	0	1	3	74
Aug 2013	36	10	1	0	12	6	14	4	3	1	0	0	3	3	93
Jul 2013	31	4	0	8	18	3	4	5	6	0	0	0	4	0	83
Jun 2013	41	5	0	3	15	6	7	7	3	0	1	0	1	0	89
May 2013	29	5	0	3	13	7	6	5	4	1	0	0	2	1	76
Apr 2013	32	2	0	0	17	3	5	3			0	0		1	63
Mar 2013	31	8	1	0	18	7	6	5			2	4		2	84
Feb 2013	32	11	1	2	8	3	6	12			4	0		3	82
Jan 2013	23	15	0	2	5	4	9	7			1	2		1	69
Dec 2012	25	19	0	8	13	4	10	7			2	1		2	91
Nov 2012	29	14	0	3	7	10	18	2			2	3		17	105
Oct 2012	37	6	0	1	9	4	11	12			2	2		2	86
Sep 2012	33	1	0	4	9	5	6	3			0	0		6	67
Aug 2012	50	11	0	5	7	3	8	16			2	3		5	110
Jul 2012	51	10	0	5	12	6	6	11			4	1		6	112
Jun 2012	39	2	0	4	10	4	8	10			1	6		3	87
May 2012	50	10	0	15	17	9	8	10			0	2		1	122
Apr 2012	36	8	1	3	15	3	5	3			2	1		7	84
Mar 2012	47	7	0	1	21	9	7	9			2	6		3	112
Feb 2012	35	2	0	2	18	3	8	6			2	4		1	81
Jan 2012	26	9	0	1	19	0	5	6			2	3		6	77
Dec 2011	28	9	0	2	16	3	7	10			0	1		3	79
Nov 2011	31	19	0	7	16	8	13	6			0	3		9	112
Oct 2011	48	7	0	11	13	9	9	7			1	2		1	108
Sep 2011	33	7	0	8	14	5	10	8			1	1		4	91
Aug 2011	54	4	0	3	27	38									126
Jul 2011	66	5	1	2	17	28									119
Jun 2011	39	3	0	0	10	24									76
May 2011	41	4	0	2	5	26									78
Apr 2011	38	3	0	2	15	46									104
Mar 2011	32	7	1	5	19	29									93
Feb 2011	34	6	0	1	13	26									80
Jan 2011	37	7	0	6	10	18									78
Dec 2010	33	5	0	1	11	19									69

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 W02000036

Crime Type and ASB Charts for W02000036

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".