E02002407 MSOA

E02002407

Leeds 078
Residential Population: 6,520 (mid-2020 estimate)

Males: 3,162

Females: 3,358

Population Density: 49.80 Persons per Hectare

Land Area: 130.93 Hectares

Daytime Population: 5,270

Population Density: 40.25 Persons per Hectare

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Crime in E02002407

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Feb 2024	3	5	0	8	65	6	15	5	3	0	0	1	4	5	120
Jan 2024	2	4	0	4	50	6	12	6	1	0	0	2	10	5	102
Dec 2023	6	2	0	7	58	3	12	2	3	0	0	1	13	1	108
Nov 2023	11	0	0	10	56	4	13	7	2	2	1	4	18	2	130
Oct 2023	8	3	0	4	46	8	21	2	4	0	0	3	10	5	114
Sep 2023	7	2	2	2	64	3	8	3	4	0	0	6	11	1	113
Aug 2023	15	4	0	8	51	3	12	5	4	0	0	2	16	1	121
Jul 2023	11	3	1	5	83	7	9	4	3	0	0	2	18	6	152
Jun 2023	19	10	2	10	77	4	13	2	3	0	1	0	24	6	171
May 2023	4	5	0	3	64	3	9	6	1	0	0	2	11	4	112
Apr 2023	6	4	1	2	84	1	12	6	4	0	0	2	18	5	145
Mar 2023	3	6	4	8	96	8	18	5	3	1	0	2	20	5	179
Feb 2023	13	9	1	14	62	3	17	2	2	2	0	0	16	7	148
Jan 2023	7	3	3	5	70	9	18	16	1	1	0	1	13	3	150
Dec 2022	6	8	1	1	75	7	11	12	0	2	1	0	14	2	140
Nov 2022	11	2	3	4	58	5	16	10	1	0	0	2	9	6	127
Oct 2022	16	5	0	8	71	2	12	13	2	0	1	1	15	3	149
Sep 2022	5	6	0	6	71	4	13	10	4	0	0	5	25	2	151
Aug 2022	10	5	0	1	71	3	11	5	0	1	2	2	37	6	154
Jul 2022	11	6	1	5	66	5	14	9	4	1	0	2	27	3	154
Jun 2022	5	0	1	2	62	7	7	6	1	0	0	1	8	0	100
May 2022	5	8	2	9	55	12	12	9	1	1	0	1	24	1	140
Apr 2022	11	7	0	3	63	9	9	3	4	1	0	2	16	4	132
Mar 2022	10	8	1	6	62	1	13	5	4	0	1	2	17	2	132
Feb 2022	7	7	0	5	64	3	17	6	2	0	0	1	12	2	126
Jan 2022	14	11	2	8	73	8	13	11	6	0	0	1	20	10	177
Dec 2021	10	5	0	2	45	7	23	12	0	0	1	2	21	1	129
Nov 2021	12	6	0	0	42	1	15	7	4	0	2	0	11	1	101
Oct 2021	10	5	3	6	60	9	13	2	3	0	0	0	9	3	123
Sep 2021	11	2	0	4	64	7	11	5	3	0	1	1	12	3	124
Aug 2021	6	3	1	6	61	1	12	7	3	0	0	0	27	3	130
Jul 2021	13	2	0	3	62	3	15	6	5	0	1	3	30	2	145
Jun 2021	18	1	0	2	61	3	24	6	1	0	1	1	26	2	146
May 2021	12	2	0	7	57	9	9	9	2	0	0	0	13	1	121
Apr 2021	10	4	0	0	55	3	6	8	3	0	0	0	19	6	114
Mar 2021	19	10	1	6	48	2	11	7	5	0	0	2	11	1	123
Feb 2021	32	7	0	7	43	1	9	4	5	0	1	1	7	5	122
Jan 2021	22	2	1	2	31	1	5	5	1	0	0	1	11	4	86
Dec 2020	16	6	1	5	52	1	7	5	0	0	1	1	10	3	108
Nov 2020	13	6	1	6	61	3	12	7	3	1	2	1	14	2	132
Oct 2020	17	3	1	7	51	2	9	10	1	0	0	0	8	4	113
Sep 2020	18	1	2	4	59	2	10	9	1	1	1	1	11	3	123
Aug 2020	44	4	0	4	57	1	12	5	3	1	0	2	12	2	147
Jul 2020	23	3	0	2	49	1	12	4	5	0	2	1	25	5	132
Jun 2020	29	5	0	4	38	0	11	6	3	0	1	1	8	1	107
May 2020	19	2	1	4	23	1	12	2	9	0	1	3	16	2	95
Apr 2020	15	2	2	3	36	3	7	10	2	0	0	0	9	4	93
Mar 2020	14	3	2	2	27	0	9	4	3	1	0	2	6	5	78
Feb 2020	11	3	0	5	31	1	11	4	2	1	2	0	6	1	78
Jan 2020	10	7	1	6	48	5	16	10	0	0	0	1	6	0	110
Dec 2019	15	6	0	3	56	4	14	14	6	0	0	0	12	1	131
Nov 2019	19	7	1	3	41	4	27	8	3	0	1	1	12	4	131
Oct 2019	36	12	1	10	50	4	13	7	3	0	0	0	8	2	146
Sep 2019	35	2	0	6	49	2	16	5	1	2	1	2	10	5	136
Aug 2019	29	13	1	4	58	5	19	3	3	0	1	1	15	5	157
Jul 2019	23	3	1	6	50	7	23	6	1	0	0	0	11	2	133
Jun 2019	17	1	3	2	46	3	27	4	2	0	0	1	4	1	111
May 2019	13	9	5	7	49	2	12	7	4	0	0	2	8	4	122
Apr 2019	14	12	1	11	53	2	18	5	3	0	1	1	12	4	137
Mar 2019	14	5	1	7	61	1	15	12	4	0	0	2	15	3	140
Feb 2019	26	6	3	5	29	2	11	11	2	0	1	0	7	7	110
Jan 2019	15	5	2	5	41	0	22	4	2	0	2	2	7	2	109
Dec 2018	17	6	2	10	58	0	33	5	3	3	1	1	4	3	146
Nov 2018	21	8	0	10	38	1	25	5	3	0	1	1	10	3	126
Oct 2018	27	17	0	9	64	1	24	15	3	0	1	2	22	1	186
Sep 2018	50	11	3	3	52	2	21	8	1	1	1	0	15	2	170
Aug 2018	38	8	3	6	51	2	20	6	2	0	0	1	14	4	155
Jul 2018	35	7	1	2	73	4	15	5	0	2	0	0	11	2	157
Jun 2018	13	6	1	3	43	1	11	13	2	0	0	0	6	2	101
May 2018	19	4	2	6	48	3	7	10	1	0	1	1	13	7	122
Apr 2018	16	7	1	6	44	3	7	6	1	0	0	1	10	4	106
Mar 2018	5	12	0	2	40	0	10	5	3	1	3	1	5	4	91
Feb 2018	16	10	0	7	39	1	9	6	1	0	0	0	11	4	104
Jan 2018	9	10	1	7	45	3	8	8	4	0	1	1	15	1	113
Dec 2017	18	10	0	7	45	0	12	17	3	0	1	1	8	1	123
Nov 2017	23	9	1	6	33	0	16	12	0	0	1	0	8	4	113
Oct 2017	20	5	0	7	39	0	20	21	0	0	0	0	8	3	123
Sep 2017	21	2	0	3	35	2	14	13	0	0	1	1	8	2	102
Aug 2017	14	4	0	4	15	0	9	10	1	1	0	0	5	3	66
Jul 2017	9	7	1	1	36	4	16	6	2	1	0	1	8	2	94
Jun 2017	15	4	0	9	34	0	12	12	2	3	2	1	7	4	105
May 2017	13	8	1	2	26	1	12	11	2	2	0	1	6	2	87
Apr 2017	17	4	0	4	26	3	5	3	3	1	1	1	5	2	75
Mar 2017	16	10	2	9	30	2	16	8	4	1	0	2	7	2	109
Feb 2017	12	4	0	14	20	1	10	9	2	1	0	1	4	2	80
Jan 2017	10	11	0	6	20	2	13	9	3	1	1	0	3	6	85
Dec 2016	13	10	0	5	28	1	7	9	4	0	0	0	2	1	80
Nov 2016	26	8	1	7	18	1	9	9	1	0	0	0	4	1	85
Oct 2016	17	3	0	5	31	0	9	7	0	0	0	2	8	2	84
Sep 2016	26	9	0	3	26	3	15	13	0	2	0	0	9	4	110
Aug 2016	31	4	0	7	24	0	15	6	0	0	0	1	8	1	97
Jul 2016	18	6	0	9	26	1	11	11	2	0	0	1	3	1	89
Jun 2016	16	5	1	8	19	1	9	13	0	0	0	0	7	2	81
May 2016	20	3	0	8	23	1	14	8	1	0	0	0	4	2	84
Apr 2016	18	7	0	2	45	1	23	15	2	1	0	1	3	2	120
Mar 2016	20	4	0	11	22	0	10	10	2	0	0	0	4	3	86
Feb 2016	18	8	2	2	26	4	13	7	3	1	0	1	2	1	88
Jan 2016	28	7	0	7	20	2	9	10	1	0	0	0	3	1	88
Dec 2015	18	11	0	8	15	0	13	12	5	0	0	0	6	2	90
Nov 2015	32	8	0	10	24	1	15	16	0	1	1	1	1	0	110
Oct 2015	22	7	0	7	21	1	15	7	2	0	0	0	0	1	83
Sep 2015	27	6	0	2	13	0	5	11	1	0	1	0	3	1	70
Aug 2015	19	7	1	8	13	2	4	11	1	0	0	0	5	2	73
Jul 2015	24	11	1	4	21	2	6	8	0	0	0	1	3	2	83
Jun 2015	28	7	0	7	19	0	19	4	1	1	0	1	4	3	94
May 2015	35	6	2	7	20	1	12	11	1	2	0	0	3	2	102
Apr 2015	22	7	0	5	18	3	12	10	2	0	0	0	2	3	84
Mar 2015	21	9	2	8	18	2	14	14	1	0	0	1	3	0	93
Feb 2015	13	7	1	7	9	0	9	8	4	0	0	0	3	5	66
Jan 2015	21	5	0	14	11	3	14	4	0	0	0	0	3	2	77
Dec 2014	9	12	0	11	11	2	9	4	2	0	0	1	0	0	61
Nov 2014	17	7	1	6	16	2	13	5	1	0	0	1	1	3	73
Oct 2014	27	6	0	2	8	2	12	11	2	0	0	0	1	1	72
Sep 2014	28	8	0	10	12	1	13	10	1	0	0	0	5	1	89
Aug 2014	29	15	0	3	13	4	15	15	2	1	0	0	2	1	100
Jul 2014	26	5	2	4	15	5	15	10	4	0	0	0	0	1	87
Jun 2014	28	8	0	2	9	2	7	8	5	0	0	1	1	0	71
May 2014	45	4	1	7	9	3	12	7	0	0	0	0	1	1	90
Apr 2014	21	7	1	5	8	5	2	9	3	1	1	0	0	1	64
Mar 2014	27	10	1	6	9	2	18	10	3	1	0	1	2	0	90
Feb 2014	30	8	2	10	17	1	7	6	5	1	1	0	3	1	92
Jan 2014	18	8	0	6	11	5	10	8	3	1	0	0	2	0	72
Dec 2013	30	8	0	14	14	5	11	6	2	0	1	0	0	0	91
Nov 2013	12	8	0	9	8	7	16	10	1	1	0	0	0	0	72
Oct 2013	21	4	0	9	16	6	5	8	3	1	0	0	2	1	76
Sep 2013	22	4	1	9	10	2	14	6	0	0	0	0	3	1	72
Aug 2013	47	7	0	5	5	7	12	14	7	0	0	1	0	1	106
Jul 2013	41	10	1	7	24	3	12	8	3	1	1	1	4	2	118
Jun 2013	26	7	2	5	15	3	13	7	2	2	0	1	3	1	87
May 2013	27	8	1	1	13	4	20	13	2	0	0	0	0	2	91
Apr 2013	19	5	0	3	16	4	17	8			3	0		0	75
Mar 2013	30	11	0	13	8	3	10	6			0	1		6	88
Feb 2013	25	4	0	3	8	3	10	9			2	1		5	70
Jan 2013	27	4	0	6	7	5	9	4			5	5		5	77
Dec 2012	22	6	1	8	11	3	17	6			2	3		7	86
Nov 2012	34	5	0	4	8	2	18	7			5	0		2	85
Oct 2012	29	9	0	12	10	0	10	10			3	1		5	89
Sep 2012	29	11	1	3	12	1	8	1			2	2		4	74
Aug 2012	41	3	0	2	5	2	9	6			4	1		6	79
Jul 2012	36	13	1	4	6	3	11	3			1	4		2	84
Jun 2012	33	5	1	5	17	5	10	3			2	2		5	88
May 2012	45	16	1	6	16	1	8	11			2	0		4	110
Apr 2012	32	8	0	6	14	4	16	8			5	2		3	98
Mar 2012	34	13	0	6	11	5	15	10			5	1		7	107
Feb 2012	23	5	0	2	11	2	17	10			4	5		5	84
Jan 2012	31	9	0	6	7	5	10	11			3	1		3	86
Dec 2011	27	12	1	6	6	0	18	7			3	0		2	82
Nov 2011	26	10	0	4	11	2	12	4			1	0		0	70
Oct 2011	22	16	1	6	12	4	14	8			4	1		1	89
Sep 2011	37	18	1	12	11	3	9	11			5	3		7	117
Aug 2011	42	14	0	8	12	32									108
Jul 2011	56	11	0	6	12	33									118
Jun 2011	41	14	0	5	17	31									108
May 2011	44	11	1	13	8	33									110
Apr 2011	43	17	0	12	6	32									110
Mar 2011	37	26	0	4	13	39									119
Feb 2011	46	13	2	7	17	37									122
Jan 2011	33	17	0	5	11	39									105
Dec 2010	28	16	0	2	4	29									79

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 E02002407

Crime Type and ASB Charts for E02002407

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".