Easington ED Unitary Authority Electoral Division

Easington ED, England

Unitary Authority Electoral Division located within County Durham

Residential Population: 7,629 (mid-2020 estimate)

Males: 3,792

Females: 3,837

Land Area: 2294.683 Hectares

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Crime in Easington ED

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Feb 2024	20	3	0	1	35	35	17	7	1	0	0	1	4	2	126
Jan 2024	12	4	3	2	38	25	7	7	3	0	0	1	2	3	107
Dec 2023	12	3	0	1	37	4	15	6	4	0	0	0	3	2	87
Nov 2023	10	4	1	2	32	2	12	9	1	0	0	1	4	0	78
Sep 2023	8	6	0	2	22	34	14	11	3	0	0	0	6	3	109
Aug 2023	11	4	0	4	45	19	17	9	2	0	0	0	8	2	121
Jul 2023	6	5	3	4	45	29	18	10	4	0	1	1	7	1	134
Jun 2023	21	5	0	1	38	19	16	20	5	0	0	0	7	0	132
May 2023	13	6	0	2	32	19	15	14	3	0	0	0	4	4	112
Apr 2023	12	5	0	2	37	12	24	7	3	0	0	1	15	2	120
Mar 2023	15	5	0	2	56	32	20	6	3	0	0	2	16	4	161
Feb 2023	10	9	0	3	24	8	14	11	1	0	1	1	10	4	96
Jan 2023	10	9	0	8	41	9	14	11	1	0	0	1	4	6	114
Dec 2022	6	2	0	1	41	10	11	4	2	0	1	0	15	3	96
Nov 2022	4	9	3	8	34	15	12	20	7	0	0	1	7	2	122
Oct 2022	18	8	0	2	38	8	16	6	2	0	1	0	10	2	111
Sep 2022	17	2	0	2	41	12	17	9	2	0	0	1	8	3	114
Aug 2022	17	5	0	3	36	5	22	14	2	0	1	2	16	4	127
Jul 2022	28	7	2	1	39	7	13	4	0	0	1	1	16	4	123
Jun 2022	15	6	0	0	28	10	11	9	2	0	0	1	2	3	87
May 2022	25	8	1	2	38	18	15	6	1	1	0	0	6	1	122
Apr 2022	20	16	1	3	43	11	16	10	2	0	0	0	4	3	129
Mar 2022	20	11	0	4	33	37	23	12	3	0	0	1	11	3	158
Feb 2022	18	4	1	1	46	11	8	8	4	0	0	1	5	0	107
Jan 2022	19	8	2	5	24	0	11	12	0	0	0	0	10	3	94
Dec 2021	16	26	1	4	41	1	17	10	3	0	1	1	6	4	131
Nov 2021	16	34	0	5	28	1	17	6	8	0	1	1	9	3	129
Oct 2021	28	24	1	6	26	5	15	12	4	0	1	2	6	2	132
Sep 2021	18	9	0	7	29	9	15	5	2	0	1	1	4	1	101
Aug 2021	23	4	0	1	30	8	16	9	1	1	1	0	9	5	108
Jul 2021	19	1	0	2	46	3	11	9	3	0	1	1	13	4	113
Jun 2021	29	6	0	2	30	3	21	10	1	1	1	1	10	2	117
May 2021	19	8	0	5	35	7	13	6	0	0	0	0	5	2	100
Apr 2021	33	7	0	2	36	2	14	10	3	1	0	1	7	3	119
Mar 2021	14	12	0	3	40	11	16	9	6	0	0	0	7	3	121
Feb 2021	19	2	1	6	43	7	20	18	3	0	1	0	6	0	126
Jan 2021	13	7	0	6	28	8	13	5	2	0	0	0	5	1	88
Dec 2020	19	4	0	7	43	16	14	11	3	0	1	0	7	3	128
Nov 2020	17	2	1	5	27	18	10	4	0	0	0	0	5	2	91
Oct 2020	24	10	2	9	32	25	21	17	3	1	3	0	8	3	158
Sep 2020	14	7	1	9	54	3	26	13	0	1	1	0	10	5	144
Aug 2020	23	10	0	11	34	9	22	11	0	1	0	0	8	5	134
Jul 2020	36	11	0	5	35	15	10	8	1	0	1	0	7	2	131
Jun 2020	32	7	1	7	38	5	9	10	4	0	1	0	11	4	129
May 2020	28	8	0	7	34	3	12	7	3	0	0	1	8	7	118
Apr 2020	27	6	0	0	24	1	11	10	0	0	0	1	10	3	93
Mar 2020	28	2	0	6	44	7	18	16	3	1	0	1	6	1	133
Feb 2020	11	8	2	16	37	4	6	7	4	1	0	0	2	4	102
Jan 2020	16	10	0	6	29	6	10	11	1	0	0	1	3	6	99
Dec 2019	13	4	0	10	30	7	13	12	3	0	1	1	2	2	98
Nov 2019	13	9	1	8	25	8	13	17	6	0	0	1	2	3	106
Oct 2019	17	6	3	6	25	15	11	15	1	0	2	0	6	3	110
Sep 2019	32	7	0	4	32	5	22	16	4	0	2	4	4	1	133
Aug 2019	34	7	0	12	38	1	13	11	4	0	1	2	12	5	140
Jul 2019	29	7	0	4	35	10	13	13	4	1	1	1	15	4	137
Jun 2019	38	4	0	4	41	8	10	19	2	0	1	0	6	5	138
May 2019	22	8	1	3	37	10	7	11	0	0	0	0	8	2	109
Apr 2019	27	6	0	3	44	7	18	13	1	0	0	1	4	1	125
Mar 2019	23	6	1	9	30	9	9	8	4	0	0	1	5	5	110
Feb 2019	24	6	0	8	31	10	13	11	1	0	1	0	5	1	111
Jan 2019	9	8	0	4	42	9	15	19	4	0	0	2	9	4	125
Dec 2018	19	5	0	6	26	13	12	13	1	0	1	0	4	2	102
Nov 2018	15	10	0	2	18	18	12	4	1	2	0	0	7	2	91
Oct 2018	21	6	0	1	28	6	10	12	2	0	0	0	3	3	92
Sep 2018	22	8	0	5	29	5	19	15	3	0	0	0	6	1	113
Aug 2018	27	7	0	3	39	8	24	18	1	0	1	0	7	3	138
Jul 2018	20	10	0	6	33	7	17	13	4	0	1	0	12	2	125
Jun 2018	23	6	0	2	32	13	15	12	4	0	0	0	11	2	120
May 2018	27	6	1	5	35	4	17	26	2	0	0	1	9	2	135
Apr 2018	23	12	0	3	42	9	13	16	1	1	0	2	9	3	134
Mar 2018	35	8	1	7	30	5	11	14	1	0	1	0	15	0	128
Feb 2018	21	8	1	7	26	1	13	10	3	0	0	0	1	0	91
Jan 2018	21	4	0	7	29	8	22	12	1	0	0	0	4	3	111
Dec 2017	22	8	1	8	41	5	16	11	0	0	0	0	7	3	122
Nov 2017	31	7	0	4	22	11	22	10	3	0	0	0	10	6	126
Oct 2017	26	8	0	12	54	4	18	14	4	3	2	0	6	3	154
Sep 2017	19	5	1	9	24	9	17	15	1	0	2	0	4	2	108
Aug 2017	26	8	0	5	27	1	23	15	2	0	1	0	6	5	119
Jul 2017	35	13	1	15	26	3	18	12	3	0	1	1	4	0	132
Jun 2017	28	9	0	5	22	6	17	6	2	0	0	0	13	5	113
May 2017	30	9	0	12	19	3	25	12	1	1	0	0	2	2	116
Apr 2017	34	9	0	5	27	10	23	12	1	1	0	0	15	2	139
Mar 2017	21	6	0	2	24	0	10	21	3	0	0	0	6	5	98
Feb 2017	18	19	0	2	23	8	7	14	2	0	0	1	15	1	110
Jan 2017	15	8	0	8	23	5	19	10	3	0	0	0	6	4	101
Dec 2016	14	4	0	10	30	10	18	9	1	0	0	0	4	2	102
Nov 2016	30	7	0	7	10	3	6	11	3	1	2	0	3	1	84
Oct 2016	37	8	0	7	24	0	10	12	3	0	0	0	4	3	108
Sep 2016	35	1	0	7	21	11	15	12	4	0	0	0	3	1	110
Aug 2016	44	7	0	10	16	8	6	11	4	1	1	0	1	1	110
Jul 2016	32	5	0	3	23	4	4	11	1	0	0	1	4	0	88
Jun 2016	30	4	0	1	20	6	6	9	0	0	0	1	1	0	78
May 2016	26	14	0	2	9	4	6	4	3	0	0	0	1	1	70
Apr 2016	31	10	1	4	21	1	15	9	1	0	0	0	1	1	95
Mar 2016	33	6	0	3	18	7	15	8	3	0	0	0	3	1	97
Feb 2016	18	13	0	3	16	4	16	9	2	1	0	0	2	3	87
Jan 2016	33	3	0	3	19	7	13	5	0	0	0	0	0	0	83
Dec 2015	25	6	0	1	10	6	5	6	2	0	0	0	1	1	63
Nov 2015	19	15	0	7	8	4	9	6	4	0	0	1	2	2	77
Oct 2015	27	23	0	4	7	4	5	12	0	0	0	0	1	0	83
Sep 2015	33	5	0	9	7	4	7	9	0	0	0	0	0	0	74
Aug 2015	26	6	0	5	5	3	8	11	3	0	0	0	2	1	70
Jul 2015	29	10	0	13	11	3	7	17	0	2	0	0	0	2	94
Jun 2015	34	9	0	1	7	2	8	14	1	1	0	0	1	0	78
May 2015	36	5	1	4	11	1	7	10	0	0	0	1	0	2	78
Apr 2015	45	6	0	0	3	5	8	18	0	0	0	0	0	1	86
Mar 2015	32	1	0	2	11	2	6	5	1	0	0	0	2	0	62
Feb 2015	30	2	0	3	7	3	7	8	2	0	0	0	2	0	64
Jan 2015	25	5	0	7	5	4	5	3	1	0	0	0	3	0	58
Dec 2014	21	4	0	3	7	3	8	6	0	0	1	0	0	1	54
Nov 2014	34	8	0	3	4	3	7	4	4	0	0	1	1	0	69
Oct 2014	37	4	0	1	7	1	3	2	2	0	0	0	0	0	57
Sep 2014	35	2	0	4	10	4	6	3	1	0	0	1	2	1	69
Aug 2014	31	2	0	3	5	5	2	4	0	1	0	0	5	0	58
Jul 2014	36	3	0	0	16	4	10	10	0	0	0	0	2	0	81
Jun 2014	29	2	0	2	4	3	7	6	0	0	1	0	0	0	54
May 2014	49	5	0	3	7	4	2	8	5	1	0	1	2	1	88
Apr 2014	21	7	0	2	6	6	8	3	5	0	0	1	2	0	61
Mar 2014	23	2	0	2	11	5	8	8	0	0	0	0	1	1	61
Feb 2014	19	1	0	1	6	2	6	7	1	0	0	0	1	1	45
Jan 2014	16	0	0	1	9	1	11	3	2	0	0	0	0	0	43
Dec 2013	22	7	0	2	5	1	8	4	0	0	0	1	1	1	52
Nov 2013	16	2	0	4	11	4	8	8	2	0	0	0	2	0	57
Oct 2013	27	8	0	2	4	0	10	9	1	0	0	0	0	0	61
Sep 2013	29	11	0	6	7	4	1	6	0	0	0	0	2	2	68
Aug 2013	27	9	0	2	7	1	5	9	4	1	1	1	1	0	68
Jul 2013	34	7	1	6	7	5	7	5	2	1	0	0	0	1	76
Jun 2013	21	5	0	1	6	2	6	6	0	0	0	0	1	0	48
May 2013	27	2	2	2	4	0	6	6	1	0	0	0	1	0	51
Apr 2013	37	3	0	0	3	1	2	6			2	0		1	55
Mar 2013	32	3	0	3	9	9	7	5			2	2		0	72
Feb 2013	29	4	0	1	6	4	6	3			0	1		1	55
Jan 2013	21	3	0	7	4	1	7	6			2	1		0	52
Dec 2012	30	1	0	3	5	3	2	7			0	0		1	52
Nov 2012	12	5	0	2	2	9	6	5			1	0		3	45
Oct 2012	22	0	0	5	5	3	7	4			0	2		2	50
Sep 2012	43	5	0	1	3	4	4	12			3	3		0	78
Aug 2012	44	3	0	4	4	4	4	3			2	1		3	72
Jul 2012	37	3	0	1	6	3	9	2			0	4		3	68
Jun 2012	30	4	0	1	3	4	5	7			1	2		0	57
May 2012	19	4	0	0	2	2	11	2			1	1		0	42
Apr 2012	27	6	0	7	4	3	12	5			1	2		2	69
Mar 2012	40	11	0	2	5	3	5	2			0	1		3	72
Feb 2012	26	7	0	2	6	5	4	4			1	0		4	59
Jan 2012	43	5	0	6	10	0	9	4			1	0		2	80
Dec 2011	46	3	0	7	4	2	13	7			1	2		2	87
Nov 2011	46	7	0	2	9	2	9	5			5	0		1	86
Oct 2011	52	11	0	2	4	2	12	6			2	2		0	93
Sep 2011	45	10	0	7	6	3	5	6			3	0		2	87
Aug 2011	49	18	0	6	6	27									106
Jul 2011	75	9	0	6	8	26									124
Jun 2011	58	3	0	2	10	26									99
May 2011	68	7	0	2	8	18									103
Apr 2011	74	3	0	2	12	28									119
Mar 2011	65	12	0	2	7	20									106
Feb 2011	47	4	0	1	9	28									89
Jan 2011	57	15	0	1	11	27									111
Dec 2010	0	10	0	0	5	17									32

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 Easington ED

Crime Type and ASB Charts for Easington ED

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".