E01026069 LSOA

E01026069

East Lindsey 010D
Residential Population: 2,367 (mid-2020 estimate)

Males: 1,207

Females: 1,160

Population Density: 1.48 Persons per Hectare

Land Area: 1602.72 Hectares

Daytime Population: 3,292

Population Density: 2.05 Persons per Hectare

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Crime in E01026069

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Feb 2024	6	1	0	1	20	0	0	1	2	0	0	0	3	1	35
Jan 2024	3	0	0	1	14	0	3	3	0	0	0	1	0	1	26
Dec 2023	4	0	0	1	11	0	1	3	1	0	0	0	1	0	22
Nov 2023	5	11	0	0	21	0	6	1	2	0	1	0	1	0	48
Oct 2023	17	4	0	2	35	2	9	8	2	0	0	0	4	1	84
Sep 2023	28	3	0	3	58	6	9	5	3	0	0	1	4	0	120
Aug 2023	25	11	1	5	77	5	15	12	0	0	1	1	10	6	169
Jul 2023	19	9	0	6	59	2	12	10	2	0	1	0	4	0	124
May 2023	10	2	2	2	32	5	7	5	0	0	0	0	4	2	71
Apr 2023	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1
Mar 2023	4	3	0	1	28	4	8	6	1	0	0	0	2	0	57
Feb 2023	4	1	0	0	23	3	0	3	0	0	0	0	2	0	36
Jan 2023	2	1	0	0	12	0	0	6	0	0	0	0	1	0	22
Dec 2022	7	5	0	1	20	2	5	5	0	0	0	2	0	1	48
Nov 2022	6	2	0	2	37	1	5	5	3	0	0	1	3	0	65
Oct 2022	10	5	0	0	58	2	8	5	1	0	2	0	8	2	101
Sep 2022	10	9	1	2	55	2	12	8	4	2	1	0	9	2	117
Aug 2022	22	7	2	7	87	3	19	12	2	2	1	0	14	0	178
Jul 2022	17	6	0	2	63	1	10	8	2	0	1	2	2	2	116
Jun 2022	11	4	0	2	53	0	6	9	2	0	0	1	6	3	97
May 2022	13	12	1	5	38	0	10	9	2	0	0	4	5	0	99
Apr 2022	8	2	0	2	58	0	12	8	4	0	0	2	11	1	108
Mar 2022	9	2	0	0	20	1	6	2	0	0	0	0	5	2	47
Feb 2022	6	6	0	0	18	0	5	3	1	0	0	1	4	0	44
Jan 2022	4	4	0	1	13	4	2	5	1	0	0	0	2	2	38
Dec 2021	9	2	0	0	10	0	2	3	0	0	0	0	1	0	27
Nov 2021	0	3	0	1	27	1	4	4	2	0	0	0	6	1	49
Oct 2021	13	5	1	1	38	0	5	9	1	3	0	0	8	0	84
Sep 2021	12	8	2	1	59	1	12	11	1	0	1	0	4	3	115
Aug 2021	18	5	0	0	105	0	12	22	3	1	3	1	13	1	184
Jul 2021	22	8	1	2	64	1	9	12	1	0	0	0	8	0	128
Jun 2021	24	9	0	2	42	2	8	3	1	1	2	2	4	3	103
May 2021	12	5	0	0	55	3	5	5	4	0	1	0	4	0	94
Apr 2021	8	4	0	1	21	1	4	8	2	0	0	0	3	1	53
Mar 2021	7	2	0	0	14	0	0	18	0	1	0	0	1	0	43
Feb 2021	4	1	0	0	15	0	3	1	0	0	0	0	2	0	26
Jan 2021	9	0	0	0	14	0	1	3	0	0	1	0	0	1	29
Dec 2020	5	4	0	0	14	0	2	1	0	0	0	0	1	0	27
Nov 2020	5	8	0	1	22	1	7	6	1	0	0	0	1	2	54
Oct 2020	10	5	0	2	38	2	9	9	0	0	1	0	4	0	80
Sep 2020	9	10	2	4	57	3	10	11	1	1	1	0	4	0	113
Aug 2020	26	8	1	6	67	4	12	14	2	2	1	2	13	2	160
Jul 2020	21	8	0	3	40	0	11	17	1	1	0	1	4	4	111
Jun 2020	11	1	1	0	10	0	2	4	0	0	0	0	2	0	31
May 2020	6	1	0	1	10	1	0	2	0	0	0	0	0	0	21
Apr 2020	11	4	0	0	9	0	2	5	1	0	0	0	0	1	33
Mar 2020	3	5	1	1	15	0	4	7	0	0	2	0	3	0	41
Feb 2020	7	2	0	4	16	0	4	8	1	0	0	0	2	0	44
Jan 2020	3	1	0	0	17	0	4	4	0	0	0	0	0	0	29
Dec 2019	6	5	1	0	18	0	2	1	0	0	0	0	0	2	35
Nov 2019	7	8	1	0	35	0	6	2	4	0	0	0	2	1	66
Oct 2019	4	10	0	0	34	1	4	4	0	0	1	2	2	4	66
Sep 2019	5	8	1	5	41	2	11	15	3	0	1	0	12	2	106
Aug 2019	22	10	3	7	85	2	20	21	2	0	6	2	16	0	196
Jul 2019	18	12	1	2	80	2	13	14	2	0	0	2	11	1	158
Jun 2019	13	7	2	4	33	0	14	9	2	1	1	1	9	3	99
May 2019	6	9	1	2	42	0	10	8	0	1	1	0	7	1	88
Apr 2019	11	8	0	5	38	1	9	10	2	0	1	0	1	1	87
Mar 2019	7	2	2	3	23	0	10	7	1	0	0	0	4	1	60
Feb 2019	2	0	0	0	8	0	5	3	0	0	0	1	2	1	22
Jan 2019	5	2	0	2	9	0	6	3	1	0	0	0	1	1	30
Dec 2018	4	5	0	3	14	0	4	3	2	0	0	0	0	0	35
Nov 2018	4	3	3	2	10	0	5	4	1	0	0	0	1	0	33
Oct 2018	6	10	0	2	29	1	8	8	0	0	0	0	1	1	66
Sep 2018	12	4	1	0	41	1	9	13	1	0	1	0	10	0	93
Aug 2018	40	22	7	1	69	1	10	24	2	2	2	2	4	0	186
Jul 2018	17	20	0	4	31	1	11	12	3	0	2	1	3	2	107
Jun 2018	15	9	2	5	31	0	5	15	0	0	0	0	1	1	84
May 2018	18	11	1	3	38	0	9	11	1	2	0	0	0	0	94
Apr 2018	10	4	0	2	29	0	4	9	0	0	0	0	2	2	62
Mar 2018	4	4	0	1	8	1	4	3	3	1	0	1	0	0	30
Feb 2018	4	8	0	1	3	2	4	4	2	0	0	0	0	0	28
Jan 2018	6	3	0	1	7	1	2	0	0	0	0	0	0	1	21
Dec 2017	4	8	0	0	9	3	0	5	3	0	0	1	0	0	33
Nov 2017	6	5	0	4	10	4	6	11	3	1	2	1	0	2	55
Oct 2017	13	21	0	0	13	6	4	10	2	1	1	0	1	2	74
Sep 2017	23	13	1	2	17	0	4	12	1	1	5	0	0	0	79
Aug 2017	30	14	0	9	45	0	6	21	1	3	3	2	1	1	136
Jul 2017	24	17	0	7	28	0	1	17	4	0	1	1	0	2	102
Jun 2017	17	5	0	0	21	2	6	17	4	1	2	0	3	0	78
May 2017	22	19	0	1	20	0	8	6	3	0	2	0	4	0	85
Apr 2017	19	12	0	3	16	2	8	12	1	0	1	0	0	0	74
Mar 2017	13	4	0	0	11	3	2	9	7	0	0	0	3	0	52
Feb 2017	7	2	0	1	6	0	2	3	2	0	0	0	0	0	23
Jan 2017	6	1	0	0	3	1	1	5	0	0	0	0	0	1	18
Dec 2016	6	3	0	0	10	0	1	1	1	0	0	0	1	0	23
Nov 2016	8	4	0	1	9	2	1	3	3	0	1	1	0	2	35
Oct 2016	11	11	0	3	16	1	7	8	3	1	2	1	4	1	69
Sep 2016	11	16	0	3	12	1	10	15	4	0	4	0	0	0	76
Aug 2016	39	22	1	3	37	4	4	22	4	1	4	1	1	3	146
Jul 2016	30	16	0	0	25	2	7	13	6	0	4	0	0	1	104
Jun 2016	13	11	0	0	15	0	5	13	3	1	3	1	0	1	66
May 2016	27	15	0	3	15	4	4	14	2	0	1	0	0	2	87
Apr 2016	13	15	1	4	9	0	2	12	2	0	0	2	3	2	65
Mar 2016	11	9	0	4	8	1	2	5	0	0	1	0	1	1	43
Feb 2016	6	20	2	0	3	1	2	2	0	0	0	1	1	1	39
Jan 2016	6	13	0	1	2	0	5	7	0	0	0	0	2	0	36
Dec 2015	6	4	0	1	5	0	0	2	4	0	0	1	2	0	25
Nov 2015	8	20	1	0	8	0	7	7	1	0	0	0	0	0	52
Oct 2015	11	31	0	2	13	1	4	15	3	1	0	0	0	0	81
Sep 2015	15	14	0	1	18	2	7	12	4	1	4	0	0	1	79
Aug 2015	40	12	0	5	26	2	8	28	1	2	5	0	3	0	132
Jul 2015	22	5	1	2	26	4	7	21	4	0	0	0	2	0	94
Jun 2015	21	4	0	0	15	2	7	8	2	0	1	0	0	0	60
May 2015	19	13	0	3	18	1	8	12	2	3	0	0	1	0	80
Apr 2015	24	9	0	3	13	2	5	14	1	2	4	0	1	0	78
Mar 2015	7	6	0	0	9	0	5	8	1	0	0	1	1	1	39
Feb 2015	5	4	0	0	4	0	3	2	2	0	1	0	0	0	21
Jan 2015	3	2	0	0	3	1	0	1	2	0	0	0	0	0	12
Dec 2014	6	13	0	1	5	1	6	1	1	0	1	0	2	1	38
Nov 2014	7	22	0	2	11	1	4	11	2	0	3	1	0	0	64
Oct 2014	6	18	0	4	18	7	4	9	0	0	2	2	0	1	71
Sep 2014	19	7	0	4	31	1	8	23	5	0	2	0	3	1	104
Aug 2014	35	18	0	2	31	6	7	26	4	1	3	1	2	0	136
Jul 2014	30	13	0	1	11	2	16	14	3	1	1	3	2	0	97
Jun 2014	12	16	0	1	19	0	11	8	4	1	1	1	2	0	76
May 2014	12	3	0	6	12	0	6	16	1	0	5	0	3	0	64
Apr 2014	18	9	0	3	20	0	4	12	1	1	0	0	3	0	71
Mar 2014	15	13	0	1	5	0	4	5	0	1	1	0	0	1	46
Feb 2014	6	3	0	0	3	1	2	3	0	0	0	0	0	0	18
Jan 2014	2	14	0	0	4	0	1	3	0	0	0	0	0	1	25
Dec 2013	3	8	0	0	4	0	3	3	0	0	0	0	0	0	21
Nov 2013	12	8	0	4	17	1	2	9	4	0	1	0	1	0	59
Oct 2013	11	18	0	1	17	2	5	6	1	0	0	1	1	0	63
Sep 2013	7	8	0	5	13	2	8	11	0	2	1	0	3	1	61
Aug 2013	36	3	0	2	23	0	6	39	1	1	3	1	3	0	118
Jul 2013	31	6	0	1	17	0	6	19	1	1	3	1	1	2	89
Jun 2013	10	16	0	3	6	0	7	12	2	1	5	0	1	0	63
May 2013	10	9	0	1	9	1	3	13	1	0	7	0	3	1	58
Apr 2013	6	14	1	3	7	0	9	9			1	3		1	54
Mar 2013	8	6	0	0	5	1	2	9			3	1		0	35
Feb 2013	5	7	0	2	3	1	2	5			0	0		0	25
Jan 2013	6	2	0	0	2	0	0	5			0	1		1	17
Dec 2012	8	1	0	1	5	0	0	1			0	0		2	18
Nov 2012	13	24	0	0	6	0	4	14			4	1		3	69
Oct 2012	15	16	0	3	8	0	4	15			1	2		3	67
Sep 2012	29	11	1	1	20	0	3	17			4	4		2	92
Aug 2012	64	18	0	5	20	0	7	24			4	3		1	146
Jul 2012	33	9	3	6	10	2	1	17			1	5		0	87
Jun 2012	26	4	1	0	12	0	3	20			0	4		4	74
May 2012	32	4	2	2	9	0	12	11			2	5		0	79
Apr 2012	29	5	1	4	17	1	10	10			3	4		0	84
Mar 2012	13	16	0	0	10	0	7	15			2	3		1	67
Feb 2012	7	4	0	0	1	0	2	5			0	0		0	19
Jan 2012	4	2	0	0	4	0	2	8			0	0		0	20
Dec 2011	14	1	0	1	3	0	2	4			1	2		3	31
Nov 2011	16	56	0	0	19	0	3	10			0	1		0	105
Oct 2011	21	18	0	2	16	1	8	17			3	0		3	89
Sep 2011	35	11	0	5	22	3	9	21			1	3		1	111
Aug 2011	64	14	1	4	30	54									167
Jul 2011	49	16	0	1	27	38									131
Jun 2011	35	10	0	2	14	35									96
May 2011	29	5	0	1	16	32									83
Apr 2011	35	4	3	3	19	26									90
Mar 2011	18	18	2	5	9	30									82
Feb 2011	13	2	0	3	2	10									30
Jan 2011	10	14	0	3	9	8									44
Dec 2010	5	0	0	0	6	16									27

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 E01026069

Crime Type and ASB Charts for E01026069

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".