Moor Ward District Ward

Moor Ward, England

District Ward located within Chesterfield District (B)

Residential Population: 4,303 (mid-2020 estimate)

Males: 2,150

Females: 2,153

Land Area: 143.376 Hectares

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Crime in Moor Ward

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Jan 2024	12	1	0	2	20	12	7	4	1	1	0	4	4	0	68
Dec 2023	14	3	0	2	23	14	2	5	1	0	1	1	7	1	74
Nov 2023	12	1	1	1	21	10	5	4	1	0	0	0	8	1	65
Oct 2023	9	6	1	2	13	15	3	1	3	0	0	2	10	0	65
Sep 2023	10	1	1	1	29	16	3	4	1	0	0	2	5	2	75
Aug 2023	8	3	1	0	19	8	3	4	0	0	0	0	7	1	54
Jul 2023	20	0	0	0	18	13	2	5	1	0	0	0	4	2	65
Jun 2023	21	3	0	3	28	15	5	6	0	0	0	0	12	0	93
May 2023	14	1	0	1	29	12	5	12	2	0	1	0	5	0	82
Apr 2023	23	0	1	2	14	14	4	5	2	1	1	0	8	0	75
Mar 2023	18	0	2	3	19	1	3	11	2	2	0	0	5	2	68
Feb 2023	13	0	1	2	30	8	6	5	2	0	1	1	9	2	80
Jan 2023	21	3	0	3	23	10	2	7	2	1	0	0	5	4	81
Dec 2022	8	6	1	1	18	2	6	3	1	0	0	0	3	0	49
Nov 2022	11	2	0	2	24	7	2	5	0	0	0	1	4	0	58
Oct 2022	18	5	0	3	21	6	6	7	1	0	1	1	6	2	77
Sep 2022	11	4	0	2	17	9	8	4	0	1	0	0	5	0	61
Aug 2022	13	0	0	1	17	8	2	9	1	1	1	0	1	0	54
Jul 2022	13	2	0	0	9	19	1	6	3	1	0	0	4	1	59
Jun 2022	22	2	1	3	18	20	4	10	0	0	0	1	5	1	87
May 2022	35	4	0	2	24	12	9	2	0	0	1	0	11	1	101
Apr 2022	13	2	0	4	24	10	14	4	0	0	2	1	6	0	80
Mar 2022	28	1	1	3	28	10	9	4	0	0	0	0	10	0	94
Feb 2022	20	4	0	6	28	14	7	5	2	1	1	0	3	3	94
Jan 2022	21	5	1	6	29	14	6	4	3	0	0	0	6	0	95
Dec 2021	17	2	0	8	21	3	5	5	0	0	3	1	8	2	75
Nov 2021	20	2	0	5	21	5	5	7	1	0	0	1	7	4	78
Oct 2021	27	2	1	3	29	6	12	6	3	0	0	1	7	0	97
Sep 2021	25	2	0	2	29	19	4	5	1	0	0	1	14	0	102
Aug 2021	29	3	2	4	25	9	10	10	2	1	1	0	11	0	107
Jul 2021	50	2	0	1	22	18	8	6	2	0	1	1	11	2	124
Jun 2021	37	3	2	5	26	19	12	6	2	0	0	0	20	2	134
May 2021	30	1	0	1	24	12	1	6	1	0	0	0	5	2	83
Apr 2021	38	2	0	6	27	12	3	3	4	0	0	0	7	0	102
Mar 2021	29	2	0	2	30	6	5	5	0	0	0	0	7	0	86
Feb 2021	40	2	0	1	17	3	4	3	1	0	2	0	11	2	86
Jan 2021	31	2	1	3	16	11	7	5	3	0	0	1	7	1	88
Dec 2020	27	4	0	3	32	16	7	4	0	0	1	0	5	1	100
Nov 2020	28	1	0	4	21	14	4	1	1	1	1	0	6	0	82
Oct 2020	25	5	0	4	11	15	4	8	1	2	0	0	3	3	81
Sep 2020	29	9	1	4	16	21	12	10	4	1	0	0	12	0	119
Aug 2020	23	0	0	2	24	14	8	2	4	1	0	0	3	3	84
Jul 2020	36	3	1	3	28	21	7	7	1	1	0	0	10	0	118
Jun 2020	29	1	1	2	22	11	6	2	2	1	2	0	7	0	86
May 2020	40	1	0	4	11	24	6	2	4	1	0	0	7	1	101
Apr 2020	31	4	2	5	13	20	3	5	0	0	0	0	3	0	86
Mar 2020	26	2	0	7	16	23	6	9	0	0	1	0	6	0	96
Feb 2020	16	1	0	3	10	12	4	3	0	0	1	1	3	1	55
Jan 2020	22	0	3	6	21	28	8	2	1	0	0	1	6	4	102
Dec 2019	21	3	0	6	21	19	5	3	3	0	0	0	5	1	87
Nov 2019	18	1	0	2	36	19	5	4	1	0	0	0	14	0	100
Oct 2019	31	5	0	3	20	12	4	6	1	0	0	1	4	1	88
Sep 2019	34	3	0	2	27	17	6	11	2	0	0	0	9	1	112
Aug 2019	37	5	0	4	19	18	5	4	0	1	2	1	10	1	107
Jul 2019	36	2	0	1	23	11	9	9	0	1	1	0	10	0	103
Jun 2019	21	7	0	6	22	10	4	7	1	1	0	0	5	1	85
May 2019	27	6	0	3	17	12	3	6	1	0	1	0	4	0	80
Apr 2019	22	7	0	0	12	12	7	4	1	1	0	0	3	2	71
Mar 2019	30	2	0	0	14	15	5	9	3	1	0	0	5	2	86
Feb 2019	17	5	1	5	7	7	4	7	3	0	0	0	2	0	58
Jan 2019	25	4	1	2	11	7	6	5	7	0	0	0	4	1	73
Dec 2018	28	4	0	0	11	7	2	7	1	0	2	1	3	0	66
Nov 2018	23	5	2	5	9	6	5	3	2	0	0	0	1	0	61
Oct 2018	10	3	0	1	10	10	5	4	2	2	1	0	2	1	51
Sep 2018	19	1	0	6	12	9	4	5	2	1	2	0	3	0	64
Aug 2018	27	0	0	0	18	9	4	5	2	2	0	1	2	0	70
Jul 2018	16	3	0	3	14	4	5	9	3	3	0	0	1	1	62
Jun 2018	23	0	0	5	11	13	8	5	0	1	1	0	1	1	69
May 2018	24	0	0	0	11	12	6	7	1	0	1	1	0	3	66
Apr 2018	24	3	1	2	12	11	7	2	4	0	0	0	4	1	71
Mar 2018	26	7	1	3	12	15	6	7	3	1	1	0	1	0	83
Feb 2018	19	2	1	1	9	8	9	6	3	0	0	2	2	1	63
Jan 2018	29	3	0	4	4	13	2	3	0	0	0	1	1	1	61
Dec 2017	30	2	0	3	8	6	2	5	1	1	0	1	2	0	61
Nov 2017	16	3	1	1	13	11	1	6	3	0	0	1	0	0	56
Oct 2017	33	4	0	4	15	13	2	8	1	0	0	1	0	0	81
Sep 2017	25	3	0	3	5	12	5	6	1	0	0	2	2	0	64
Aug 2017	23	5	0	1	5	16	9	9	1	0	0	0	2	2	73
Jul 2017	24	4	0	4	7	18	3	8	3	0	0	0	1	1	73
Jun 2017	32	6	0	2	9	8	5	8	1	0	2	0	0	0	73
May 2017	19	7	0	5	11	14	5	11	0	1	0	0	0	1	74
Apr 2017	19	7	0	4	11	9	2	4	0	0	0	0	0	1	57
Mar 2017	19	4	0	0	6	21	2	5	1	0	2	0	0	0	60
Feb 2017	30	6	0	3	10	9	4	2	3	0	0	0	1	1	69
Jan 2017	20	2	0	2	10	19	2	9	0	0	1	0	1	0	66
Dec 2016	26	4	2	6	11	16	8	6	1	0	0	1	1	1	83
Nov 2016	17	3	0	4	2	8	6	10	1	0	0	0	0	0	51
Oct 2016	19	2	0	4	4	5	5	6	2	1	0	1	1	1	51
Sep 2016	23	2	0	3	3	21	5	8	1	0	0	0	3	1	70
Aug 2016	33	0	1	2	11	24	6	3	1	0	0	0	1	1	83
Jul 2016	28	1	0	3	9	10	3	8	1	0	1	0	0	1	65
Jun 2016	23	3	0	2	8	6	6	6	1	0	0	0	0	0	55
May 2016	37	3	0	1	7	10	4	3	0	0	0	0	1	0	66
Apr 2016	31	3	0	2	10	14	4	3	0	0	0	1	1	0	69
Mar 2016	23	4	0	4	10	7	3	3	0	0	0	0	0	2	56
Feb 2016	14	1	0	2	12	12	2	6	2	0	1	0	0	0	52
Jan 2016	18	4	0	4	3	13	3	8	1	0	1	1	1	0	57
Dec 2015	18	7	0	6	7	12	7	8	1	0	0	0	0	0	66
Nov 2015	14	5	0	2	6	9	3	4	1	1	2	0	0	0	47
Oct 2015	30	6	0	8	8	16	4	8	1	0	0	1	0	0	82
Sep 2015	20	2	0	3	9	13	4	4	0	1	0	0	2	0	58
Aug 2015	27	5	0	0	5	8	5	5	2	2	0	1	2	1	63
Jul 2015	21	2	0	2	5	6	1	8	2	1	0	0	3	0	51
Jun 2015	30	3	0	3	9	3	4	6	1	0	1	0	0	3	63
May 2015	28	4	0	4	4	8	7	8	1	0	2	1	1	1	69
Apr 2015	25	3	0	1	1	21	3	4	2	0	1	1	0	0	62
Mar 2015	30	4	0	2	13	22	5	4	0	0	0	0	0	0	80
Feb 2015	26	0	1	1	3	19	2	7	1	0	0	0	0	0	60
Jan 2015	24	1	0	2	5	15	1	4	1	1	1	0	1	0	56
Dec 2014	31	5	1	1	6	24	2	10	1	0	0	1	1	1	84
Nov 2014	26	3	1	2	14	15	2	9	2	0	0	0	1	0	75
Oct 2014	25	3	1	0	3	31	5	4	2	2	1	0	2	1	80
Sep 2014	46	6	0	1	11	14	6	7	1	0	0	0	0	0	92
Aug 2014	29	9	0	2	2	31	3	6	0	1	1	1	1	0	86
Jul 2014	43	1	0	2	12	10	3	9	3	0	0	1	2	0	86
Jun 2014	43	4	0	4	6	32	3	13	4	1	1	0	2	0	113
May 2014	30	1	0	3	10	22	1	10	0	0	1	0	1	1	80
Apr 2014	33	2	0	4	5	19	1	7	1	1	0	0	0	0	73
Mar 2014	35	2	1	3	2	25	4	2	2	2	0	0	0	0	78
Feb 2014	15	1	3	1	4	31	3	6	1	0	1	0	0	0	66
Jan 2014	27	2	1	0	4	17	4	6	2	0	0	0	0	0	63
Dec 2013	25	3	0	3	4	9	8	3	1	1	0	1	0	0	58
Nov 2013	35	4	0	0	5	15	3	5	0	0	0	0	1	1	69
Oct 2013	29	2	1	2	7	18	4	7	1	1	1	0	0	1	74
Sep 2013	33	0	0	4	3	12	5	6	3	4	0	0	3	2	75
Aug 2013	30	7	0	4	9	23	6	9	1	0	0	0	0	2	91
Jul 2013	47	5	1	7	3	13	7	9	1	0	0	0	0	0	93
Jun 2013	36	5	0	5	13	24	5	8	1	1	0	1	1	1	101
May 2013	28	1	0	7	3	33	3	7	1	0	0	0	1	0	84
Apr 2013	24	2	0	2	7	28	1	8			0	1		2	75
Mar 2013	22	2	1	1	5	13	9	9			0	1		1	64
Feb 2013	21	3	3	2	2	23	6	7			0	0		2	69
Jan 2013	22	4	2	2	7	12	3	6			2	2		0	62
Dec 2012	29	4	1	3	6	20	1	3			1	0		2	70
Nov 2012	28	4	1	2	4	7	1	3			1	1		4	56
Oct 2012	22	4	0	2	2	12	4	3			1	0		2	52
Sep 2012	28	4	0	5	5	12	5	4			2	0		1	66
Aug 2012	26	4	0	1	4	18	2	12			0	0		3	70
Jul 2012	27	4	0	2	4	9	1	1			0	1		5	54
Jun 2012	18	1	0	3	10	20	3	6			0	1		2	64
May 2012	25	1	0	0	8	12	4	6			0	0		0	56
Apr 2012	19	3	0	1	10	9	2	3			2	2		4	55
Mar 2012	28	7	0	3	6	10	3	2			4	3		4	70
Feb 2012	19	4	1	1	3	11	0	4			1	3		1	48
Jan 2012	27	6	0	3	4	18	9	2			0	0		1	70
Dec 2011	24	2	0	2	5	11	6	5			3	0		5	63
Nov 2011	27	3	0	0	7	14	7	7			2	1		9	77
Oct 2011	34	5	0	1	3	14	5	4			5	0		7	78
Sep 2011	40	4	0	3	6	15	15	13			1	2		1	100
Aug 2011	35	1	0	7	7	30									80
Jul 2011	30	3	0	1	9	17									60
Jun 2011	29	4	0	2	9	37									81
May 2011	12	4	1	2	7	28									54
Apr 2011	25	1	0	1	8	36									71
Mar 2011	48	8	0	2	7	25									90
Feb 2011	22	1	0	5	7	31									66
Jan 2011	26	3	0	2	11	20									62
Dec 2010	29	2	0	2	7	17									57

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 Moor Ward

Crime Type and ASB Charts for Moor Ward

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".