E02004066 MSOA

E02004066

Chesterfield 012
Residential Population: 11,632 (mid-2020 estimate)

Males: 5,714

Females: 5,918

Population Density: 24.69 Persons per Hectare

Land Area: 471.12 Hectares

Daytime Population: 12,609

Population Density: 26.76 Persons per Hectare

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Crime in E02004066

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Jan 2024	11	5	0	3	34	2	9	7	2	0	1	3	8	0	85
Dec 2023	7	0	1	3	41	1	6	5	0	0	0	1	14	2	81
Nov 2023	11	0	0	5	59	3	3	4	4	0	0	0	12	2	103
Oct 2023	19	2	0	1	44	0	3	8	2	0	0	1	9	1	90
Sep 2023	21	1	0	1	29	0	3	7	2	0	1	0	7	0	72
Aug 2023	23	2	0	9	38	7	1	15	1	0	2	2	11	4	115
Jul 2023	21	3	0	1	44	4	5	5	1	0	0	6	12	3	105
Jun 2023	26	2	0	4	45	0	3	10	1	0	0	2	15	4	112
May 2023	17	11	0	3	52	0	7	5	2	0	1	1	9	3	111
Apr 2023	27	7	0	2	44	0	7	3	1	0	1	2	15	2	111
Mar 2023	15	5	0	4	51	1	3	4	0	0	0	1	11	0	95
Feb 2023	18	9	0	2	66	0	11	6	1	0	0	0	11	3	127
Jan 2023	18	11	2	1	43	0	11	9	3	0	0	1	11	2	112
Dec 2022	11	4	0	4	36	1	3	3	1	0	0	1	6	3	73
Nov 2022	12	10	0	4	42	0	6	3	1	0	0	0	13	3	94
Oct 2022	32	2	0	1	34	0	7	4	3	1	0	0	9	2	95
Sep 2022	23	2	0	1	45	0	5	6	1	0	0	0	15	0	98
Aug 2022	22	1	0	3	29	1	8	5	0	0	1	0	13	1	84
Jul 2022	25	2	0	3	38	0	14	6	3	0	0	0	12	0	103
Jun 2022	30	5	0	4	43	1	6	4	2	0	0	0	16	1	112
May 2022	15	1	0	2	36	0	6	3	0	0	2	2	11	1	79
Apr 2022	17	4	0	2	30	0	11	5	1	0	1	2	10	1	84
Mar 2022	23	2	0	1	29	6	5	4	2	0	0	1	7	2	82
Feb 2022	19	5	0	1	43	1	3	5	1	0	0	0	11	1	90
Jan 2022	24	3	0	8	40	11	9	7	2	0	0	1	5	2	112
Dec 2021	21	3	0	5	44	0	8	3	3	0	0	0	5	3	95
Nov 2021	23	3	1	7	36	0	2	3	1	0	0	1	7	0	84
Oct 2021	52	2	0	6	39	0	9	6	1	0	0	0	13	1	129
Sep 2021	26	3	0	4	45	0	3	1	2	1	0	0	13	0	98
Aug 2021	39	7	1	4	43	2	5	2	0	0	0	2	9	1	115
Jul 2021	21	4	0	1	52	0	11	3	3	1	1	1	19	1	118
Jun 2021	22	2	0	3	46	0	5	4	0	0	0	0	10	0	92
May 2021	28	3	0	1	44	1	14	4	2	0	0	0	10	1	108
Apr 2021	27	3	0	9	41	1	8	4	4	2	0	2	2	1	104
Mar 2021	27	4	0	8	43	0	12	2	1	0	0	1	12	3	113
Feb 2021	26	1	1	17	20	3	0	1	1	0	0	0	6	3	79
Jan 2021	18	8	1	3	37	1	3	3	2	0	1	1	10	3	91
Dec 2020	36	1	2	6	24	1	6	4	0	0	1	2	5	1	89
Nov 2020	25	11	0	8	42	1	5	4	5	0	0	2	5	0	108
Oct 2020	27	7	0	3	39	0	6	5	2	0	0	2	8	1	100
Sep 2020	19	13	0	1	26	0	7	5	2	1	0	3	10	2	89
Aug 2020	16	10	0	1	36	1	6	4	0	1	0	2	8	2	87
Jul 2020	29	6	0	15	33	3	9	7	3	0	0	0	6	1	112
Jun 2020	37	6	0	4	27	0	5	4	2	0	1	4	8	4	102
May 2020	74	5	0	10	28	2	4	1	4	1	0	0	6	4	139
Apr 2020	38	6	0	6	28	0	3	2	2	1	0	0	7	3	96
Mar 2020	30	12	0	10	26	0	6	2	3	0	0	1	6	0	96
Feb 2020	20	4	0	4	28	0	8	3	2	0	0	0	6	2	77
Jan 2020	12	7	0	8	40	1	9	4	2	0	1	0	7	2	93
Dec 2019	23	11	1	2	40	0	12	3	3	0	1	0	5	3	104
Nov 2019	19	6	0	1	36	1	8	5	1	0	0	1	6	4	88
Oct 2019	26	7	0	9	42	0	4	10	1	0	0	0	14	4	117
Sep 2019	34	4	0	5	32	0	5	3	3	0	0	2	2	2	92
Aug 2019	25	11	0	11	21	0	7	6	0	0	0	0	14	0	95
Jul 2019	37	8	1	2	32	4	7	6	4	0	2	0	9	1	113
Jun 2019	27	2	0	4	29	1	11	9	2	1	1	1	10	1	99
May 2019	30	0	0	0	25	1	11	10	2	0	0	0	5	1	85
Apr 2019	40	4	0	1	16	0	6	7	1	0	0	1	2	1	79
Mar 2019	35	6	0	5	20	3	10	4	1	0	1	0	0	5	90
Feb 2019	36	7	0	6	18	2	7	10	1	0	0	1	2	0	90
Jan 2019	38	2	0	5	18	3	4	6	4	0	0	0	0	0	80
Dec 2018	44	5	0	5	23	2	11	5	1	0	1	0	2	1	100
Nov 2018	23	13	1	3	25	0	9	6	4	1	0	0	4	1	90
Oct 2018	42	7	0	10	34	3	7	7	4	0	1	0	2	1	118
Sep 2018	26	10	0	4	21	1	2	7	1	2	0	4	1	2	81
Aug 2018	28	1	0	2	14	1	6	4	2	0	1	1	1	1	62
Jul 2018	61	2	0	1	24	5	9	7	2	1	0	0	2	0	114
Jun 2018	40	4	0	2	22	6	8	5	2	0	1	0	2	1	93
May 2018	44	2	1	1	22	6	7	9	1	0	0	1	3	0	97
Apr 2018	28	5	0	7	21	0	4	3	2	0	0	0	4	1	75
Mar 2018	33	2	1	3	13	0	5	12	1	1	1	0	5	1	78
Feb 2018	26	7	0	7	16	6	7	5	0	0	1	0	1	0	76
Jan 2018	29	5	0	13	11	2	8	10	3	0	0	0	1	0	82
Dec 2017	32	3	0	8	14	0	8	7	5	0	0	1	0	0	78
Nov 2017	24	1	0	1	12	4	3	8	0	0	0	0	1	1	55
Oct 2017	39	5	0	7	13	6	12	6	1	1	0	1	1	2	94
Sep 2017	51	1	0	2	11	2	8	8	6	0	1	2	1	0	93
Aug 2017	43	1	0	3	8	8	7	6	0	1	0	0	1	0	78
Jul 2017	43	11	1	9	12	2	14	9	2	0	0	0	2	1	106
Jun 2017	37	3	0	4	11	3	9	7	2	0	0	0	2	0	78
May 2017	39	3	0	2	12	6	5	8	1	0	1	1	1	0	79
Apr 2017	41	3	2	3	11	7	9	9	1	0	0	0	1	1	88
Mar 2017	35	8	0	1	16	4	9	5	3	0	0	0	1	0	82
Feb 2017	14	9	0	0	19	7	7	0	2	0	0	0	3	2	63
Jan 2017	30	5	0	3	8	4	12	4	3	0	0	1	2	0	72
Dec 2016	28	2	0	2	15	3	4	7	2	1	0	0	2	0	66
Nov 2016	23	7	1	3	12	13	9	7	2	0	0	1	1	0	79
Oct 2016	34	7	2	1	11	4	11	8	1	0	1	1	0	1	82
Sep 2016	34	4	0	2	11	0	5	5	1	0	0	0	0	1	63
Aug 2016	52	6	0	2	17	5	7	4	2	0	0	0	0	3	98
Jul 2016	40	10	0	2	5	2	5	4	2	0	0	0	1	0	71
Jun 2016	37	14	0	2	10	6	7	3	2	1	0	0	0	0	82
May 2016	39	13	0	6	5	5	6	10	4	1	0	0	4	1	94
Apr 2016	33	10	1	2	9	2	5	8	0	0	0	1	1	1	73
Mar 2016	43	8	1	4	14	2	5	2	1	1	0	0	1	0	82
Feb 2016	53	13	0	3	10	4	2	4	1	1	0	0	0	0	91
Jan 2016	35	8	1	10	9	1	7	9	2	2	0	1	1	0	86
Dec 2015	44	6	2	9	16	3	12	4	0	0	0	0	3	1	100
Nov 2015	44	8	0	4	14	2	6	9	0	1	0	0	3	1	92
Oct 2015	68	3	1	4	25	3	16	2	2	0	0	0	2	5	131
Sep 2015	63	7	0	6	12	0	9	11	3	0	1	0	3	1	116
Aug 2015	48	9	0	4	9	0	11	4	2	0	0	0	3	0	90
Jul 2015	62	7	0	1	11	1	5	3	2	0	0	1	4	0	97
Jun 2015	63	2	0	9	14	3	14	8	1	0	0	0	1	0	115
May 2015	50	3	0	4	10	4	6	5	4	1	0	0	1	0	88
Apr 2015	46	7	0	6	15	6	5	9	2	1	0	0	4	2	103
Mar 2015	36	2	0	10	12	6	12	7	1	0	0	0	1	0	87
Feb 2015	27	4	0	3	9	3	7	2	2	0	0	0	0	0	57
Jan 2015	37	4	0	9	16	5	16	8	3	0	0	0	2	0	100
Dec 2014	33	2	0	3	10	8	7	5	3	0	0	0	0	1	72
Nov 2014	50	6	0	5	15	4	8	7	0	0	1	0	4	0	100
Oct 2014	32	26	0	12	6	4	6	13	2	0	0	0	2	1	104
Sep 2014	33	7	0	10	11	6	8	9	0	1	0	0	2	0	87
Aug 2014	33	4	0	9	12	5	3	13	3	0	0	2	0	0	84
Jul 2014	49	7	0	6	5	6	2	6	2	0	1	0	3	0	87
Jun 2014	34	8	0	12	9	6	3	9	2	0	0	0	3	0	86
May 2014	46	5	0	3	12	5	2	6	1	1	0	0	1	2	84
Apr 2014	34	4	0	14	8	2	14	4	1	0	0	0	2	0	83
Mar 2014	33	6	0	2	8	8	7	7	1	1	0	0	2	0	75
Feb 2014	31	5	0	5	7	5	4	3	0	0	0	0	3	0	63
Jan 2014	32	2	0	1	8	5	11	3	5	0	0	0	1	0	68
Dec 2013	37	6	0	4	3	6	11	3	1	0	0	1	1	0	73
Nov 2013	40	15	0	10	6	5	19	5	7	0	0	0	1	1	109
Oct 2013	41	7	0	14	10	2	7	5	1	2	0	1	1	0	91
Sep 2013	47	1	0	6	0	2	10	6	1	0	0	0	1	0	74
Aug 2013	40	7	0	4	10	7	7	9	0	1	0	2	1	1	89
Jul 2013	58	1	0	7	12	8	12	9	3	2	0	0	0	0	112
Jun 2013	47	3	0	10	7	5	12	8	1	1	0	0	1	0	95
May 2013	31	5	0	11	11	5	4	6	0	0	1	0	0	0	74
Apr 2013	32	1	0	7	12	3	6	4			0	1		2	68
Mar 2013	25	4	1	3	15	1	9	4			4	3		0	69
Feb 2013	32	14	0	2	7	2	3	4			0	0		2	66
Jan 2013	37	3	0	3	9	6	5	5			5	1		0	74
Dec 2012	42	6	0	0	6	3	4	6			2	1		3	73
Nov 2012	32	3	0	3	6	3	19	9			1	1		3	80
Oct 2012	36	0	0	2	11	2	5	8			1	1		1	67
Sep 2012	39	4	0	5	5	3	6	10			2	0		1	75
Aug 2012	39	3	0	1	11	3	12	12			3	0		2	86
Jul 2012	34	3	0	2	10	6	5	5			3	2		1	71
Jun 2012	37	3	0	7	16	8	11	8			1	0		0	91
May 2012	45	5	0	4	14	4	7	7			1	1		4	92
Apr 2012	39	4	2	0	6	2	8	5			5	1		2	74
Mar 2012	55	2	0	1	3	0	10	12			0	1		1	85
Feb 2012	28	12	0	4	9	1	6	9			2	1		0	72
Jan 2012	30	5	0	4	8	1	13	3			2	1		0	67
Dec 2011	36	4	0	4	6	1	9	3			0	0		3	66
Nov 2011	33	6	0	1	15	3	31	6			1	1		2	99
Oct 2011	46	4	0	2	9	1	9	5			2	2		1	81
Sep 2011	31	7	0	12	2	2	8	6			1	0		1	70
Aug 2011	39	2	0	2	3	20									66
Jul 2011	44	7	0	1	9	22									83
Jun 2011	50	5	0	3	6	22									86
May 2011	41	3	0	7	13	16									80
Apr 2011	64	6	0	2	4	25									101
Mar 2011	63	6	0	4	7	33									113
Feb 2011	41	6	0	4	11	32									94
Jan 2011	28	5	0	3	7	23									66
Dec 2010	31	6	0	4	8	16									65

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 E02004066

Crime Type and ASB Charts for E02004066

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".