E02001529 MSOA

E02001529

Barnsley 021
Residential Population: 9,507 (mid-2020 estimate)

Males: 4,648

Females: 4,859

Population Density: 10.99 Persons per Hectare

Land Area: 864.99 Hectares

Daytime Population: 7,465

Population Density: 8.63 Persons per Hectare

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Crime in E02001529

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Feb 2024	11	6	1	6	53	1	7	5	1	0	0	0	5	2	98
Jan 2024	11	9	0	9	39	0	7	9	2	0	1	1	5	5	98
Dec 2023	15	3	0	7	34	0	9	3	2	0	3	0	5	3	84
Nov 2023	12	5	0	5	45	4	10	4	4	0	0	2	5	3	99
Oct 2023	23	6	3	9	52	0	7	8	2	0	0	2	14	5	131
Sep 2023	11	9	1	12	38	0	12	7	1	1	1	0	8	4	105
Aug 2023	16	13	2	7	50	2	9	4	1	0	0	1	10	5	120
Jul 2023	12	7	3	3	39	0	10	11	4	0	1	2	16	12	120
Jun 2023	8	5	1	8	50	4	12	7	2	0	0	1	12	9	119
May 2023	16	8	0	8	58	1	15	6	3	0	0	1	14	5	135
Apr 2023	15	5	0	4	33	0	18	4	2	1	0	2	7	4	95
Mar 2023	19	9	0	5	44	1	20	4	2	0	2	1	10	11	128
Feb 2023	15	6	0	4	38	3	18	5	2	0	0	1	7	4	103
Jan 2023	11	10	0	5	51	1	14	5	2	0	1	1	9	4	114
Dec 2022	9	5	2	6	41	1	7	6	4	1	0	1	10	2	95
Nov 2022	12	5	1	4	31	2	13	8	2	0	0	0	17	3	98
Oct 2022	23	6	2	21	40	4	22	6	1	1	1	0	10	2	139
Sep 2022	14	8	0	6	68	2	10	8	4	0	1	2	13	6	142
Aug 2022	30	10	1	4	45	0	15	11	1	0	0	2	16	2	137
Jul 2022	20	3	1	9	48	1	17	9	4	0	0	0	13	4	129
Jun 2022	10	3	0	2	52	3	17	10	0	1	0	3	5	4	110
May 2022	11	8	0	3	50	5	17	8	2	0	1	1	6	8	120
Apr 2022	16	6	1	4	44	10	12	4	4	0	0	0	12	3	116
Mar 2022	19	5	0	9	54	0	11	6	0	0	0	1	6	5	116
Feb 2022	10	5	0	2	41	0	7	2	1	0	1	0	2	3	74
Jan 2022	9	7	0	3	47	0	14	8	0	1	0	0	12	5	106
Dec 2021	8	2	2	7	46	0	12	1	2	0	0	1	4	2	87
Nov 2021	14	8	2	2	37	3	17	6	4	1	0	0	12	3	109
Oct 2021	16	8	1	8	58	2	22	8	0	0	1	0	15	1	140
Sep 2021	10	11	0	7	44	1	13	10	4	0	1	2	20	7	130
Aug 2021	16	4	1	4	42	0	6	8	1	0	1	1	4	3	91
Jul 2021	21	5	1	9	42	3	9	6	5	0	0	2	6	4	113
Jun 2021	12	5	0	6	42	0	13	3	1	1	0	2	10	2	97
May 2021	10	2	0	2	52	1	9	2	0	1	0	0	2	2	83
Apr 2021	14	8	2	5	48	1	20	2	4	0	0	1	9	3	117
Mar 2021	19	5	0	8	39	0	4	6	1	0	0	1	13	6	102
Feb 2021	24	4	1	11	22	4	8	3	0	1	0	2	11	0	91
Jan 2021	13	6	0	6	61	2	11	4	1	0	0	1	6	5	116
Dec 2020	15	1	0	2	40	0	14	5	2	0	0	1	3	7	90
Nov 2020	18	7	0	5	36	2	11	3	1	1	0	1	11	6	102
Oct 2020	20	10	1	3	39	2	14	5	1	0	0	2	9	6	112
Sep 2020	17	6	2	3	37	1	18	8	4	0	1	0	9	3	109
Aug 2020	17	4	0	2	36	4	15	8	2	0	0	0	6	5	99
Jul 2020	18	4	1	2	59	4	14	5	1	1	0	0	16	7	132
Jun 2020	27	6	2	1	48	2	6	5	3	0	0	0	10	3	113
May 2020	40	7	0	6	29	0	15	3	2	0	0	2	13	2	119
Apr 2020	22	4	0	1	33	3	4	8	4	1	0	0	15	0	95
Mar 2020	9	7	0	5	34	2	15	4	0	0	0	1	3	7	87
Feb 2020	10	9	1	1	27	0	11	9	1	0	0	1	6	2	78
Jan 2020	8	3	0	6	43	3	12	4	1	1	1	0	4	2	88
Dec 2019	9	2	0	4	49	2	14	5	0	0	1	1	7	4	98
Nov 2019	11	9	2	7	38	0	13	5	0	0	0	1	7	1	94
Oct 2019	11	5	0	6	28	0	9	5	2	0	0	0	8	4	78
Sep 2019	10	4	0	8	42	0	11	6	2	0	1	0	10	6	100
Aug 2019	16	7	1	8	36	0	12	4	1	0	0	1	11	3	100
Jul 2019	15	4	1	4	32	1	11	3	1	0	1	0	7	5	85
Jun 2019	14	8	0	5	34	0	9	4	3	2	1	3	10	0	93
May 2019	12	5	2	6	28	5	17	5	1	0	0	1	9	2	93
Apr 2019	18	4	0	6	48	1	8	1	0	1	0	2	6	4	99
Mar 2019	20	6	1	2	30	1	14	4	1	0	0	0	2	3	84
Feb 2019	16	1	1	10	34	0	4	11	1	0	0	1	4	4	87
Jan 2019	10	6	0	3	21	1	19	6	2	1	2	2	4	3	80
Dec 2018	11	7	0	6	24	2	8	4	1	0	1	0	3	2	69
Nov 2018	13	5	0	9	24	1	8	7	1	0	0	0	5	8	81
Oct 2018	16	6	2	6	25	1	15	10	0	0	1	0	6	4	92
Sep 2018	10	5	2	4	34	5	15	3	0	1	0	0	8	1	88
Aug 2018	16	9	0	2	25	1	11	4	1	0	0	1	12	4	86
Jul 2018	38	4	1	4	52	3	13	4	1	0	0	2	24	6	152
Jun 2018	22	8	1	3	52	6	14	7	0	1	0	1	16	3	134
May 2018	24	9	1	5	36	6	5	1	2	0	0	0	8	4	101
Apr 2018	21	5	1	5	22	1	10	7	0	0	0	4	5	3	84
Mar 2018	18	14	0	5	23	0	21	5	1	2	0	0	7	3	99
Feb 2018	17	6	0	4	29	2	14	11	1	1	0	0	5	0	90
Jan 2018	34	12	1	4	20	1	10	2	1	0	0	0	3	4	92
Dec 2017	18	6	0	7	30	1	15	4	0	1	2	1	4	4	93
Nov 2017	24	14	1	4	27	4	18	2	2	2	1	2	3	1	105
Oct 2017	23	6	1	5	26	3	13	4	2	0	1	0	9	3	96
Sep 2017	21	4	0	4	32	1	13	5	0	0	1	3	10	0	94
Aug 2017	31	4	0	8	31	2	12	8	0	1	0	2	6	3	108
Jul 2017	29	9	1	1	36	9	16	3	0	0	1	1	11	4	121
Jun 2017	26	6	0	7	34	4	17	7	1	0	1	2	6	4	115
May 2017	30	7	0	6	25	1	8	12	0	0	0	1	11	1	102
Apr 2017	41	6	0	5	23	2	12	10	2	0	1	0	3	2	107
Mar 2017	37	5	0	2	39	1	14	6	0	0	0	0	10	3	117
Feb 2017	34	4	1	7	30	3	11	6	1	0	1	0	7	8	113
Jan 2017	36	8	0	8	36	3	10	9	4	1	0	2	7	2	126
Dec 2016	39	8	1	7	28	1	12	4	0	0	0	0	5	1	106
Nov 2016	29	6	1	2	26	2	11	4	1	0	0	2	4	2	90
Oct 2016	43	2	0	5	16	3	4	9	3	0	0	1	3	1	90
Sep 2016	40	1	0	2	18	5	10	6	2	1	0	0	1	2	88
Aug 2016	41	7	0	11	13	1	9	8	1	0	0	0	6	1	98
Jul 2016	48	4	0	7	17	1	17	6	0	0	1	1	6	0	108
Jun 2016	42	4	0	4	19	4	9	6	2	0	0	0	4	2	96
May 2016	45	5	0	3	27	4	9	5	4	0	0	0	7	1	110
Apr 2016	54	3	1	3	24	8	12	5	1	2	1	0	2	4	120
Mar 2016	50	3	1	5	11	4	16	11	1	0	0	0	2	2	106
Feb 2016	36	3	0	6	10	4	8	6	2	0	0	0	1	0	76
Jan 2016	34	7	0	8	10	1	6	4	0	0	0	0	2	2	74
Dec 2015	46	7	0	10	17	4	11	3	2	0	0	0	3	1	104
Nov 2015	41	4	0	17	12	1	19	3	2	0	0	0	4	0	103
Oct 2015	56	6	1	9	10	3	11	6	3	0	0	0	2	1	108
Sep 2015	47	9	0	5	25	8	11	9	2	0	0	0	1	3	120
Aug 2015	39	8	0	8	13	4	8	5	2	0	0	1	3	0	91
Jul 2015	50	5	1	5	16	2	4	3	1	1	0	0	0	0	88
Jun 2015	55	12	0	5	18	3	19	12	4	0	0	1	4	1	134
May 2015	44	9	1	3	15	2	4	2	0	0	0	1	0	1	82
Apr 2015	44	5	1	3	12	4	11	6	3	0	1	1	2	2	95
Mar 2015	33	4	0	6	15	3	15	7	1	0	0	1	0	1	86
Feb 2015	36	7	0	2	16	3	9	1	1	0	0	0	1	0	76
Jan 2015	40	4	0	4	19	3	12	6	4	1	0	0	0	1	94
Dec 2014	28	7	1	14	19	8	6	3	5	0	0	0	1	1	93
Nov 2014	34	6	0	5	14	5	12	4	5	0	0	0	4	0	89
Oct 2014	50	7	0	5	12	7	9	4	3	0	0	2	2	0	101
Sep 2014	40	6	1	9	15	1	11	5	1	1	0	0	5	0	95
Aug 2014	37	3	0	2	6	3	7	3	7	1	0	0	1	0	70
Jul 2014	45	6	0	1	13	2	6	3	3	0	0	0	4	0	83
Jun 2014	51	13	2	6	11	1	10	5	1	0	1	0	0	0	101
May 2014	37	12	1	7	7	2	9	6	4	0	0	0	1	0	86
Apr 2014	31	6	0	6	6	7	7	4	7	1	0	0	2	0	77
Mar 2014	38	5	0	1	8	2	13	10	1	0	1	1	2	0	82
Feb 2014	21	9	0	8	12	3	5	5	3	0	0	3	0	0	69
Jan 2014	27	11	3	4	7	0	5	6	6	1	0	0	0	0	70
Dec 2013	30	10	0	8	6	1	4	4	5	0	0	0	2	1	71
Nov 2013	28	7	0	2	9	1	11	1	6	2	0	0	1	1	69
Oct 2013	24	4	0	1	8	6	7	6	1	1	0	1	0	1	60
Sep 2013	41	16	0	4	9	4	13	7	4	1	0	1	3	0	103
Aug 2013	43	4	0	4	5	1	7	10	2	1	0	0	3	1	81
Jul 2013	41	6	1	2	5	1	8	3	5	0	1	0	0	0	73
Jun 2013	37	13	1	9	8	3	11	3	4	0	0	1	2	1	93
May 2013	33	8	0	4	7	4	10	7	4	1	0	1	0	0	79
Apr 2013	40	6	1	4	6	2	5	6			0	2		2	74
Mar 2013	31	2	0	0	4	3	8	4			6	1		0	59
Feb 2013	34	7	0	6	7	4	12	6			4	0		0	80
Jan 2013	38	5	0	5	5	3	11	0			7	1		0	75
Dec 2012	26	7	0	13	15	0	9	4			3	1		1	79
Nov 2012	40	9	0	3	4	2	13	6			1	1		0	79
Oct 2012	38	6	0	5	6	2	15	10			3	1		0	86
Sep 2012	53	7	0	7	9	1	13	3			1	1		1	96
Aug 2012	43	16	0	1	8	1	14	8			2	4		1	98
Jul 2012	48	6	1	6	4	0	7	5			2	0		0	79
Jun 2012	51	2	0	2	9	1	11	7			4	2		2	91
May 2012	51	10	0	3	7	0	16	0			4	3		2	96
Apr 2012	25	1	0	1	5	3	13	2			9	1		0	60
Mar 2012	75	3	0	5	7	4	18	7			4	6		3	132
Feb 2012	48	6	0	3	4	2	17	12			7	1		1	101
Jan 2012	31	3	2	5	9	1	7	5			6	0		0	69
Dec 2011	36	6	0	5	8	1	11	10			7	1		1	86
Nov 2011	46	3	0	1	13	1	18	7			8	3		1	101
Oct 2011	59	8	0	5	8	2	13	10			1	1		2	109
Sep 2011	50	9	0	3	10	0	5	4			6	0		0	87
Aug 2011	81	12	0	6	10	22									131
Jul 2011	72	7	0	3	4	24									110
Jun 2011	62	3	0	0	5	24									94
May 2011	53	4	0	5	8	24									94
Apr 2011	76	5	0	6	8	22									117
Mar 2011	73	3	0	5	4	23									108
Feb 2011	62	4	0	3	10	39									118
Jan 2011	47	7	0	3	11	21									89
Dec 2010	42	6	0	4	8	29									89

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 E02001529

Crime Type and ASB Charts for E02001529

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".