E01019371 LSOA

E01019371

South Lakeland 004D
Residential Population: 2,376 (mid-2020 estimate)

Males: 1,127

Females: 1,249

Population Density: 45.03 Persons per Hectare

Land Area: 52.77 Hectares

Daytime Population: 1,360

Population Density: 25.77 Persons per Hectare

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Crime in E01019371

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Feb 2024	0	1	0	0	13	0	1	0	0	1	0	0	1	0	17
Jan 2024	0	0	0	0	5	0	0	0	0	0	0	0	0	0	5
Dec 2023	1	1	0	0	9	0	0	1	3	0	0	0	0	1	16
Nov 2023	0	0	0	0	4	0	0	0	0	0	0	0	1	0	5
Oct 2023	1	0	0	0	13	0	3	1	1	0	0	1	0	0	20
Sep 2023	3	0	0	0	8	0	3	0	1	0	0	0	0	0	15
Jul 2023	1	0	0	0	4	1	2	0	0	0	0	0	3	1	12
Jun 2023	1	0	0	1	7	1	1	0	0	0	0	0	1	0	12
May 2023	3	0	0	0	10	0	0	0	0	0	0	0	1	0	14
Apr 2023	4	0	0	0	12	0	1	1	0	0	0	0	1	0	19
Mar 2023	2	1	0	0	1	0	1	0	1	0	0	1	1	0	8
Feb 2023	1	1	0	0	3	0	1	0	1	0	0	0	2	0	9
Jan 2023	0	0	0	0	5	0	0	0	0	0	0	0	0	0	5
Dec 2022	0	2	0	0	3	0	0	0	2	0	0	1	1	0	9
Nov 2022	0	0	0	2	4	0	2	1	1	1	0	0	3	1	15
Oct 2022	1	0	0	0	5	0	1	0	0	0	0	0	1	1	9
Sep 2022	0	0	0	0	8	0	1	1	1	0	0	0	0	0	11
Aug 2022	0	0	0	2	2	0	0	2	0	0	0	0	1	2	9
Jul 2022	4	0	0	0	7	0	2	0	1	0	0	1	2	0	17
Jun 2022	3	2	0	0	12	2	1	1	0	0	0	0	1	0	22
May 2022	2	0	0	1	2	0	3	1	0	0	0	0	0	0	9
Apr 2022	1	0	0	0	7	0	0	1	1	0	0	0	2	0	12
Mar 2022	3	0	0	0	12	0	3	1	0	0	0	0	0	0	19
Feb 2022	0	0	0	0	4	0	8	0	1	0	0	0	2	0	15
Jan 2022	0	1	0	0	1	0	1	0	0	0	0	0	0	0	3
Dec 2021	3	0	0	3	7	0	2	1	0	0	0	1	1	0	18
Nov 2021	3	0	0	1	9	0	5	2	0	0	0	0	1	0	21
Oct 2021	2	0	0	1	1	0	1	0	0	0	0	0	0	0	5
Sep 2021	1	0	0	0	10	0	0	1	1	0	0	0	3	1	17
Aug 2021	1	0	0	0	5	1	0	1	0	0	0	0	1	0	9
Jul 2021	2	0	0	0	8	0	2	0	0	0	0	0	1	0	13
Jun 2021	2	0	0	0	9	0	4	2	0	0	0	0	0	0	17
May 2021	2	0	0	0	6	0	0	0	0	0	0	0	0	0	8
Apr 2021	4	0	0	0	1	0	1	0	1	0	0	0	0	0	7
Mar 2021	4	0	0	1	9	0	0	0	0	0	0	1	1	1	17
Feb 2021	4	0	0	0	1	0	1	1	0	0	0	0	1	0	8
Jan 2021	4	0	0	0	4	0	0	0	1	0	0	0	3	0	12
Dec 2020	2	1	0	0	2	0	0	0	0	0	0	1	0	0	6
Nov 2020	0	0	0	0	4	0	0	1	0	0	0	0	0	0	5
Oct 2020	3	0	0	0	1	0	0	1	1	0	0	0	0	0	6
Sep 2020	6	0	0	0	5	0	0	0	0	0	0	0	0	0	11
Aug 2020	5	0	0	0	6	0	2	0	0	0	0	1	2	0	16
Jul 2020	3	0	0	2	14	0	0	1	0	0	0	0	0	0	20
Jun 2020	1	1	0	1	3	0	1	0	0	1	0	0	2	0	10
May 2020	6	1	0	0	3	0	2	1	0	0	0	0	2	1	16
Apr 2020	10	0	0	0	3	0	1	1	0	0	0	0	3	0	18
Mar 2020	4	0	0	0	9	0	3	0	0	0	0	1	5	0	22
Feb 2020	2	2	0	2	8	0	2	0	0	0	0	0	1	0	17
Jan 2020	1	0	0	0	10	0	4	0	0	0	0	0	3	1	19
Dec 2019	2	0	0	0	8	0	3	0	0	0	0	0	0	0	13
Nov 2019	3	1	0	1	15	0	4	1	0	0	0	0	0	1	26
Oct 2019	4	1	0	0	9	0	5	2	0	0	0	0	2	0	23
Sep 2019	4	0	0	0	5	0	1	3	1	0	0	0	0	3	17
Aug 2019	1	2	0	1	9	0	1	1	1	0	0	0	0	0	16
Jul 2019	4	2	0	1	6	0	1	0	0	1	0	0	1	1	17
Jun 2019	3	0	0	1	7	0	0	0	0	0	0	1	1	0	13
May 2019	2	0	0	0	9	0	5	0	0	0	0	0	1	0	17
Apr 2019	1	5	0	3	6	0	2	0	0	0	0	0	1	1	19
Mar 2019	1	1	0	1	4	0	0	2	0	0	0	0	0	0	9
Feb 2019	2	0	0	0	2	0	0	0	0	0	0	1	2	0	7
Jan 2019	0	0	0	0	5	0	0	2	1	0	0	0	0	0	8
Dec 2018	2	1	0	2	10	0	3	0	0	0	0	0	0	1	19
Nov 2018	3	0	0	1	4	0	4	0	2	0	0	0	1	1	16
Oct 2018	1	0	0	1	3	0	2	0	0	0	0	0	2	0	9
Sep 2018	2	1	0	0	1	0	2	0	0	0	0	0	0	0	6
Aug 2018	3	0	0	0	2	0	1	0	0	0	0	0	0	0	6
Jul 2018	4	0	0	0	3	0	4	0	0	0	0	1	2	0	14
Jun 2018	7	0	0	0	7	0	1	1	0	0	0	0	1	0	17
May 2018	3	1	0	0	4	0	2	0	1	0	0	0	0	0	11
Apr 2018	3	0	0	1	4	0	1	0	0	0	0	0	0	1	10
Mar 2018	2	0	0	0	6	0	1	0	0	0	0	0	1	0	10
Feb 2018	4	0	0	0	8	0	1	0	0	0	0	0	0	0	13
Jan 2018	4	1	0	2	5	1	0	0	0	0	0	0	0	0	13
Dec 2017	0	0	0	0	4	0	1	0	1	0	0	0	0	0	6
Nov 2017	1	1	0	0	8	0	2	0	0	0	0	0	0	2	14
Oct 2017	1	0	0	0	3	1	4	0	0	0	0	0	0	0	9
Sep 2017	2	2	0	3	4	0	3	1	0	0	0	0	0	0	15
Aug 2017	2	0	0	0	0	0	1	1	0	0	0	0	0	0	4
Jul 2017	2	0	0	0	4	0	1	1	0	0	0	0	0	0	8
Jun 2017	4	0	0	1	3	0	2	1	0	0	0	0	0	0	11
May 2017	3	1	1	0	3	0	0	0	0	0	0	0	0	0	8
Apr 2017	6	0	0	0	3	0	0	0	0	0	0	0	1	0	10
Mar 2017	1	0	0	0	4	0	2	0	0	0	0	1	0	0	8
Feb 2017	1	0	0	1	2	0	2	0	0	0	0	0	0	0	6
Jan 2017	2	0	0	0	0	0	1	0	0	0	0	0	0	2	5
Dec 2016	0	0	0	0	4	0	1	0	1	0	0	0	0	0	6
Nov 2016	1	0	0	1	1	0	0	0	0	0	0	0	1	0	4
Oct 2016	9	0	0	0	1	0	2	0	0	0	0	0	1	0	13
Sep 2016	6	0	0	0	7	0	0	0	0	0	0	0	0	1	14
Aug 2016	7	1	0	0	0	0	1	0	1	0	0	0	0	0	10
Jul 2016	6	3	0	1	3	0	4	0	0	0	0	0	0	0	17
Jun 2016	3	0	0	2	3	0	16	0	0	0	0	0	0	0	24
May 2016	2	0	0	0	1	0	2	0	0	0	0	0	1	0	6
Apr 2016	4	1	0	0	4	0	4	0	0	0	0	0	0	0	13
Mar 2016	4	0	0	0	3	0	1	0	1	0	0	0	0	0	9
Feb 2016	3	0	0	0	3	0	1	1	1	0	0	0	0	0	9
Jan 2016	6	0	0	0	5	0	2	0	0	0	0	0	0	0	13
Dec 2015	3	0	0	0	2	0	1	1	2	1	0	0	0	0	10
Nov 2015	2	0	0	3	1	0	0	1	0	0	0	0	1	0	8
Oct 2015	2	0	0	1	4	0	1	0	0	0	0	0	2	0	10
Sep 2015	3	1	0	1	4	0	2	0	2	0	0	0	0	0	13
Aug 2015	6	1	0	0	3	0	2	0	0	0	0	0	0	1	13
Jul 2015	3	1	0	1	11	1	7	0	0	0	0	0	0	0	24
Jun 2015	8	1	0	0	6	0	2	0	0	0	0	0	1	0	18
May 2015	4	2	0	0	0	0	1	0	0	1	0	0	1	0	9
Apr 2015	7	1	0	0	5	0	3	0	4	0	0	0	1	0	21
Mar 2015	7	0	0	0	2	0	0	1	0	0	0	0	0	0	10
Feb 2015	4	0	0	0	1	0	0	0	1	0	0	0	1	0	7
Jan 2015	6	0	0	0	2	0	4	0	0	0	0	0	0	0	12
Dec 2014	4	0	0	0	1	0	1	0	0	0	0	0	1	0	7
Nov 2014	7	0	0	0	1	0	2	0	0	1	0	0	0	0	11
Oct 2014	5	0	0	1	2	0	2	0	0	0	0	0	0	0	10
Sep 2014	7	1	1	1	2	0	2	0	0	0	0	0	1	0	15
Aug 2014	3	0	0	0	2	0	2	1	0	0	0	0	0	0	8
Jul 2014	11	1	0	0	1	0	3	0	0	0	0	0	0	0	16
Jun 2014	7	0	0	0	2	0	5	0	0	0	0	0	0	0	14
May 2014	8	0	0	0	1	0	1	0	1	0	0	0	0	0	11
Apr 2014	10	0	0	0	0	0	0	0	0	0	0	1	0	0	11
Mar 2014	9	0	0	0	0	0	1	1	0	0	0	0	0	0	11
Feb 2014	7	0	0	0	1	0	2	0	0	1	0	0	0	0	11
Jan 2014	4	0	0	1	1	0	1	0	0	0	0	0	1	0	8
Dec 2013	11	0	0	0	5	0	0	0	0	0	0	0	1	0	17
Nov 2013	4	0	0	0	2	1	1	0	0	0	0	0	0	0	8
Oct 2013	9	0	0	0	0	0	1	0	0	0	0	0	0	0	10
Sep 2013	3	0	0	0	1	1	0	0	0	0	0	0	0	0	5
Aug 2013	17	0	0	0	4	0	1	1	0	0	0	0	0	0	23
Jul 2013	11	0	0	1	6	0	2	0	0	0	0	0	1	0	21
Jun 2013	9	0	0	0	0	0	6	1	0	0	0	0	0	0	16
May 2013	4	0	0	3	3	0	1	0	0	0	0	0	0	0	11
Apr 2013	4	0	0	0	3	0	6	0			0	0		0	13
Mar 2013	6	1	0	0	0	0	1	0			0	0		0	8
Feb 2013	13	2	0	1	2	0	4	0			0	0		1	23
Jan 2013	6	0	0	0	2	0	1	0			0	0		0	9
Dec 2012	5	0	0	0	7	0	4	0			0	0		1	17
Nov 2012	4	2	0	0	1	0	2	0			0	0		0	9
Oct 2012	6	0	0	1	2	0	3	0			0	0		0	12
Sep 2012	7	0	0	0	3	0	0	0			0	0		0	10
Aug 2012	7	0	0	0	2	0	2	0			0	0		0	11
Jul 2012	13	0	0	1	3	0	1	1			0	0		0	19
Jun 2012	8	0	0	0	2	0	4	1			0	0		1	16
May 2012	9	0	0	0	1	0	2	3			0	0		0	15
Apr 2012	16	0	0	0	1	0	3	0			0	3		0	23
Mar 2012	14	0	0	0	2	0	4	0			0	0		0	20
Feb 2012	29	0	0	0	1	0	3	0			0	1		1	35
Jan 2012	7	0	0	1	2	0	7	0			0	0		0	17
Dec 2011	9	0	0	0	3	0	0	1			0	0		0	13
Nov 2011	12	1	0	2	4	0	4	1			0	0		1	25
Oct 2011	16	1	0	0	1	1	6	1			2	1		1	30
Sep 2011	12	0	0	0	1	0	2	1			0	1		0	17
Aug 2011	13	3	0	0	4	6									26
Jul 2011	21	0	0	0	8	11									40
Jun 2011	25	0	0	0	9	13									47
May 2011	21	0	0	0	8	8									37
Apr 2011	15	0	0	0	6	7									28
Mar 2011	13	1	0	0	1	7									22
Feb 2011	16	1	0	0	0	7									24
Jan 2011	8	0	0	0	1	4									13
Dec 2010	12	1	0	1	2	3									19

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 E01019371

Crime Type and ASB Charts for E01019371

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".