Cheslyn Hay, Essington and Great Wyrley County Ward

Cheslyn Hay, Essington and Great Wyrley, England

County Ward located within Staffordshire County Council

Residential Population: 29,275 (mid-2013 estimate)

Males: 14,542

Females: 14,733

Land Area: 4372.481 Hectares

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Crime in Cheslyn Hay, Essington and Great Wyrley

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Feb 2024	4	5	2	11	64	13	14	6	10	0	1	2	8	2	142
Jan 2024	7	2	3	21	73	11	10	7	4	0	0	0	5	4	147
Dec 2023	12	9	0	25	69	8	7	10	1	0	0	0	8	7	156
Nov 2023	6	16	1	23	74	13	11	12	2	0	0	2	5	7	172
Oct 2023	21	10	3	19	69	28	12	6	4	0	0	6	11	8	197
Sep 2023	18	13	2	17	94	10	11	8	1	0	0	2	14	17	207
Aug 2023	21	4	2	16	59	15	13	9	1	2	0	0	20	3	165
Jul 2023	16	10	0	18	82	12	9	1	0	0	0	1	11	6	166
Jun 2023	14	15	4	19	91	10	14	13	4	0	2	4	15	11	216
May 2023	22	2	0	17	70	12	12	6	1	1	0	1	9	3	156
Apr 2023	16	5	2	20	94	4	13	10	2	0	1	1	13	8	189
Mar 2023	23	9	2	25	69	18	8	30	6	0	0	1	13	10	214
Feb 2023	12	13	0	25	66	16	11	17	0	0	0	2	11	9	182
Jan 2023	10	8	1	23	89	9	9	17	1	1	1	2	13	9	193
Dec 2022	9	14	0	21	80	3	7	20	1	0	1	1	20	9	186
Nov 2022	12	6	0	21	96	12	26	28	1	0	0	0	12	13	227
Oct 2022	39	9	0	11	73	13	12	27	4	1	1	3	11	8	212
Sep 2022	23	16	2	35	91	12	11	21	5	2	0	1	15	22	256
Aug 2022	40	15	0	22	71	9	15	16	7	0	1	0	17	8	221
Jul 2022	36	5	1	14	66	14	9	28	14	0	1	4	15	9	216
Jun 2022	26	7	2	23	73	14	14	27	3	3	0	0	6	10	208
May 2022	33	2	0	13	97	4	9	19	1	0	1	1	6	13	199
Apr 2022	39	14	3	42	87	3	13	25	1	2	0	2	7	5	243
Mar 2022	28	9	4	15	62	3	9	14	1	0	0	2	7	4	158
Feb 2022	16	9	0	18	58	1	3	9	1	2	0	1	4	6	128
Jan 2022	4	3	2	26	60	3	6	10	0	0	0	0	7	1	122
Dec 2021	23	9	2	19	69	1	11	19	2	0	0	0	10	4	169
Nov 2021	19	5	1	28	71	1	13	22	1	1	0	0	11	2	175
Oct 2021	36	13	2	6	71	4	13	11	0	1	0	0	10	6	173
Sep 2021	31	4	0	19	41	0	16	17	2	0	1	0	12	6	149
Aug 2021	36	2	1	11	50	5	22	6	2	0	0	1	6	3	145
Jul 2021	52	2	0	9	78	2	10	4	1	0	0	0	8	5	171
Jun 2021	50	1	0	16	61	1	13	10	2	0	0	0	8	4	166
May 2021	46	5	2	11	78	2	11	12	4	0	2	2	5	0	180
Apr 2021	62	7	1	19	58	6	11	7	1	1	0	1	12	7	193
Mar 2021	56	7	0	5	83	6	9	12	5	1	0	1	2	2	189
Feb 2021	38	7	0	7	59	2	14	16	0	1	0	0	1	3	148
Jan 2021	32	5	0	11	90	4	12	6	3	0	0	1	5	9	178
Dec 2020	29	6	0	16	63	2	11	8	0	0	0	1	6	6	148
Nov 2020	36	9	1	12	65	0	13	7	1	0	1	0	5	2	152
Oct 2020	30	9	1	23	76	0	11	10	1	1	0	0	7	9	178
Sep 2020	41	13	2	17	70	6	9	11	1	0	1	0	6	4	181
Aug 2020	46	11	0	6	66	1	12	9	2	1	0	0	13	2	169
Jul 2020	43	14	0	10	68	2	15	6	1	0	0	0	6	7	172
Jun 2020	62	14	0	15	63	0	26	10	4	4	1	0	8	8	215
May 2020	60	9	0	7	45	3	13	6	5	0	0	1	2	10	161
Apr 2020	64	9	0	10	50	0	9	6	2	0	0	1	3	8	162
Mar 2020	28	13	1	20	90	7	17	5	2	0	1	0	11	12	207
Feb 2020	24	12	3	14	70	3	19	11	4	2	0	0	9	8	179
Jan 2020	32	35	2	32	57	5	28	19	1	2	2	2	5	14	236
Dec 2019	29	7	0	18	35	4	24	6	2	0	1	1	4	5	136
Nov 2019	30	6	0	18	30	4	14	10	4	0	0	1	0	8	125
Oct 2019	37	5	0	15	40	0	16	5	3	0	1	0	6	5	133
Sep 2019	43	6	2	12	30	2	14	12	2	0	0	0	4	7	134
Aug 2019	35	3	0	11	36	0	4	6	1	0	2	0	6	7	111
Jul 2019	65	17	1	15	49	0	17	8	5	0	1	0	0	9	187
Jun 2019	46	14	0	11	56	0	23	15	0	0	0	0	4	14	183
May 2019	34	17	2	17	53	4	27	20	0	2	1	2	5	10	194
Apr 2019	52	9	2	14	61	4	6	3	2	0	0	1	3	1	158
Mar 2019	39	18	1	15	59	2	16	8	7	1	2	3	5	11	187
Feb 2019	45	8	1	24	60	4	13	11	6	1	0	2	4	4	183
Jan 2019	48	13	1	17	44	0	16	17	3	0	0	1	4	13	177
Dec 2018	31	11	1	21	27	0	18	9	3	2	0	1	3	4	131
Nov 2018	36	22	2	19	44	3	24	17	6	2	0	2	5	11	193
Oct 2018	45	16	3	38	44	2	31	19	3	0	0	0	7	2	210
Sep 2018	33	14	0	32	61	0	19	7	0	0	0	0	4	6	176
Aug 2018	50	9	2	21	69	2	16	19	6	1	0	1	5	9	210
Jul 2018	43	19	2	34	56	1	21	17	5	1	3	0	8	2	212
Jun 2018	41	19	1	29	54	4	11	15	5	0	1	0	5	6	191
May 2018	33	18	2	18	51	1	14	20	2	2	2	0	6	7	176
Apr 2018	39	10	1	29	36	2	15	13	3	1	0	3	4	7	163
Mar 2018	38	10	1	27	45	3	13	16	4	0	2	0	6	7	172
Feb 2018	40	3	0	28	52	1	13	19	2	1	1	0	4	4	168
Jan 2018	36	4	0	23	46	3	20	20	1	0	0	1	2	3	159
Dec 2017	54	0	0	22	27	1	8	29	1	0	0	1	4	1	148
Nov 2017	39	1	0	20	60	2	10	14	2	0	0	0	6	6	160
Oct 2017	28	4	1	21	55	6	18	18	4	2	0	3	2	8	170
Sep 2017	33	2	0	30	65	1	20	19	4	0	0	1	1	8	184
Aug 2017	52	4	1	22	45	4	21	16	1	0	0	1	4	12	183
Jul 2017	50	2	3	16	35	1	13	13	1	0	0	0	8	10	152
Jun 2017	41	1	1	10	45	3	10	11	1	0	1	1	0	7	132
May 2017	56	4	0	12	56	1	16	13	8	0	2	0	3	12	183
Apr 2017	50	5	1	25	38	6	9	8	3	0	1	0	2	6	154
Mar 2017	43	17	0	10	54	5	14	9	4	2	0	1	4	7	170
Feb 2017	37	7	1	18	22	2	13	13	5	0	0	1	4	13	136
Jan 2017	20	13	3	12	42	2	14	22	4	0	0	0	0	4	136
Dec 2016	27	7	0	19	44	2	13	12	6	0	0	3	5	13	151
Nov 2016	30	2	0	24	57	3	10	6	3	0	0	0	7	11	153
Oct 2016	55	7	2	10	33	1	19	10	5	2	2	2	5	4	157
Sep 2016	50	17	4	7	43	4	20	8	2	0	1	1	5	9	171
Aug 2016	34	17	2	7	48	7	13	9	7	1	1	2	5	8	161
Jul 2016	69	19	1	11	41	2	7	8	4	1	0	0	4	6	173
Jun 2016	43	8	1	8	48	5	17	18	4	2	0	1	5	6	166
May 2016	39	13	1	12	33	2	18	10	5	1	1	1	5	4	145
Apr 2016	38	5	0	8	51	6	9	11	3	1	0	1	0	10	143
Mar 2016	42	11	1	15	44	4	11	13	2	0	0	0	3	4	150
Feb 2016	30	21	0	12	30	4	14	15	4	1	1	1	1	3	137
Jan 2016	35	7	1	11	29	7	8	10	7	0	1	0	5	5	126
Dec 2015	42	20	0	11	38	7	11	9	3	1	0	0	1	7	150
Nov 2015	31	20	0	5	41	0	11	9	5	3	0	2	2	9	138
Oct 2015	49	12	1	13	24	1	13	12	2	1	0	0	3	5	136
Sep 2015	52	14	0	6	32	1	13	12	2	1	0	0	0	4	137
Aug 2015	50	9	0	17	28	3	17	14	5	0	2	0	3	8	156
Jul 2015	58	10	1	18	48	4	13	19	5	1	1	1	5	6	190
Jun 2015	67	19	0	11	32	2	16	11	0	1	0	1	3	5	168
May 2015	37	25	0	7	29	2	17	13	6	2	0	1	5	9	153
Apr 2015	49	6	2	5	33	2	10	6	4	0	0	2	2	2	123
Mar 2015	34	13	0	6	23	3	14	15	2	1	0	0	1	9	121
Feb 2015	23	13	3	18	25	1	8	6	5	0	0	1	2	12	117
Jan 2015	35	11	1	17	47	2	15	13	3	0	1	1	2	9	157
Dec 2014	39	13	1	11	52	5	8	9	5	1	1	0	1	3	149
Nov 2014	34	11	1	16	25	5	18	5	2	0	0	0	2	6	125
Oct 2014	37	19	0	12	25	1	10	9	3	0	0	0	2	5	123
Sep 2014	55	25	1	13	23	7	13	13	1	1	0	0	6	2	160
Aug 2014	48	11	0	7	14	5	11	8	2	0	0	0	0	4	110
Jul 2014	77	14	2	9	28	1	13	16	8	0	2	1	2	6	179
Jun 2014	62	6	1	13	27	3	13	17	8	0	0	2	3	6	161
May 2014	60	5	0	22	24	5	8	14	0	0	0	0	1	1	140
Apr 2014	62	12	2	14	23	2	11	11	8	0	0	0	0	6	151
Mar 2014	36	11	2	11	12	4	15	12	8	1	1	0	2	3	118
Feb 2014	22	11	2	12	18	6	10	14	8	0	0	0	3	4	110
Jan 2014	24	12	0	10	26	2	6	11	6	1	0	0	4	3	105
Dec 2013	36	13	3	11	24	5	11	16	4	1	0	1	2	1	128
Nov 2013	42	18	2	8	23	2	24	18	5	0	0	1	9	4	156
Oct 2013	37	13	0	13	16	4	19	13	4	2	0	1	2	6	130
Sep 2013	57	16	0	11	12	3	23	15	5	0	0	1	3	5	151
Aug 2013	72	14	2	26	26	11	19	12	6	0	0	0	2	4	194
Jul 2013	78	15	0	8	27	5	17	28	6	0	1	2	3	6	196
Jun 2013	63	7	1	13	18	6	21	18	4	0	1	0	1	3	156
May 2013	51	20	0	9	27	4	11	8	10	1	1	1	2	1	146
Apr 2013	38	14	0	22	16	11	14	14			4	6		6	145
Mar 2013	55	13	0	12	17	2	22	11			6	0		0	138
Feb 2013	44	12	2	9	10	5	14	19			8	2		7	132
Jan 2013	83	17	2	11	18	6	12	8			3	2		4	166
Dec 2012	25	16	2	10	19	5	13	2			4	3		1	100
Nov 2012	38	17	1	14	28	7	13	9			5	5		10	147
Oct 2012	58	18	0	13	20	5	14	10			4	4		4	150
Sep 2012	58	10	1	12	26	5	14	16			6	4		11	163
Aug 2012	50	11	0	8	15	1	18	7			7	1		11	129
Jul 2012	67	14	0	17	23	3	13	15			5	5		7	169
Jun 2012	39	13	1	18	13	5	8	26			6	4		7	140
May 2012	55	13	0	15	9	5	19	22			5	2		3	148
Apr 2012	48	16	2	14	26	0	25	16			5	4		5	161
Mar 2012	72	38	0	13	23	3	18	29			4	3		12	215
Feb 2012	52	13	1	12	13	4	13	12			9	2		6	137
Jan 2012	48	20	0	11	11	4	18	16			4	2		5	139
Dec 2011	44	25	0	14	17	4	18	12			7	4		10	155
Nov 2011	41	13	0	15	26	6	25	12			3	1		11	153
Oct 2011	64	12	0	8	17	9	21	28			2	6		14	181
Sep 2011	51	6	0	5	10	1	29	13			1	3		11	130
Aug 2011	52	9	1	8	23	53									146
Jul 2011	47	7	1	13	21	48									137
Jun 2011	46	15	1	11	17	54									144
May 2011	42	19	1	22	17	54									155
Apr 2011	62	14	2	16	19	67									180
Mar 2011	76	10	2	23	21	67									199
Feb 2011	61	21	0	9	17	47									155
Jan 2011	45	17	0	14	13	46									135
Dec 2010	83	29	1	23	16	47									199

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 Cheslyn Hay, Essington and Great Wyrley

Crime Type and ASB Charts for Cheslyn Hay, Essington and Great Wyrley

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".