95PP11W1 Northern Ireland SOA

95PP11W1

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Erne
Residential Population: 2,627 (mid-2013 estimate)

Males: 1,214

Females: 1,267

Population Density: 4.02 Persons per Hectare

Land Area: 653.00 Hectares

Daytime Population: 4,527

Population Density: 6.93 Persons per Hectare

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Crime in 95PP11W1

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Sep 2022	14	0	0	0	9	0	1	1	3	0	0	0	0	1	29
Aug 2022	22	0	0	0	8	0	5	0	2	0	0	0	0	0	37
Jul 2022	16	1	0	0	4	1	2	0	1	0	0	1	0	0	26
Jun 2022	15	0	0	0	9	0	2	1	3	0	0	1	0	0	31
May 2022	10	0	0	0	4	2	4	0	4	0	1	0	0	0	25
Apr 2022	5	0	0	1	7	0	2	2	3	1	0	0	0	0	21
Mar 2022	10	3	0	0	18	1	2	1	2	0	0	0	0	0	37
Feb 2022	7	0	0	0	7	0	3	0	2	0	0	0	0	0	19
Jan 2022	11	0	0	0	4	0	1	0	2	0	0	0	0	1	19
Dec 2021	6	0	0	0	7	1	4	0	0	0	0	0	0	0	18
Nov 2021	7	1	0	0	7	1	3	2	1	0	0	1	0	1	24
Oct 2021	19	0	0	0	17	1	2	1	6	0	0	0	1	0	47
Sep 2021	16	0	0	0	9	0	4	2	2	0	0	0	0	0	33
Aug 2021	9	0	0	0	12	1	5	2	5	0	0	0	0	0	34
Jul 2021	14	0	0	0	9	1	1	1	2	0	0	1	0	0	29
Jun 2021	20	1	1	0	7	2	0	1	1	0	0	0	0	0	33
May 2021	24	1	0	0	15	0	1	3	5	0	0	0	0	1	50
Apr 2021	15	0	0	0	6	0	1	1	2	0	0	0	0	0	25
Mar 2021	15	0	0	0	9	1	3	1	1	0	0	0	0	0	30
Feb 2021	8	0	0	0	7	1	3	0	0	0	0	0	0	0	19
Jan 2021	21	1	0	0	13	0	10	7	4	0	0	1	0	0	57
Dec 2020	21	0	0	0	2	0	1	1	2	0	1	0	0	0	28
Nov 2020	16	0	0	0	11	1	3	0	0	0	0	0	0	0	31
Oct 2020	24	0	0	0	8	0	2	0	2	0	0	0	0	0	36
Sep 2020	12	0	0	0	16	1	1	0	3	0	0	0	0	1	34
Aug 2020	23	2	0	1	6	0	5	0	2	0	0	0	0	1	40
Jul 2020	26	0	0	2	7	1	1	0	9	0	0	0	0	1	47
Jun 2020	28	0	0	0	11	0	2	1	1	0	0	1	0	1	45
May 2020	23	0	0	0	5	1	0	0	0	1	0	0	0	0	30
Apr 2020	36	0	0	0	7	1	0	3	3	1	0	0	0	1	52
Mar 2020	12	1	0	0	7	3	2	0	6	0	0	0	0	2	33
Feb 2020	15	0	1	1	13	0	10	3	2	0	0	1	0	1	47
Jan 2020	14	0	0	0	4	2	6	0	3	0	0	0	0	1	30
Dec 2019	15	3	0	0	5	1	5	1	4	0	0	0	0	1	35
Nov 2019	17	1	0	0	7	1	6	1	3	0	0	0	0	0	36
Oct 2019	13	0	0	0	5	0	6	4	0	0	0	0	0	0	28
Sep 2019	10	0	0	0	7	0	7	3	3	0	0	0	0	1	31
Aug 2019	19	2	0	0	4	0	5	3	7	0	0	0	0	0	40
Jul 2019	5	0	0	0	7	0	8	2	1	0	0	0	1	0	24
Jun 2019	15	2	0	0	5	0	2	0	2	0	0	0	0	0	26
May 2019	13	1	0	2	11	0	1	2	0	0	0	0	0	0	30
Apr 2019	11	1	0	0	7	2	2	0	2	0	0	0	0	1	26
Mar 2019	14	2	1	2	11	1	2	0	2	0	0	0	0	1	36
Feb 2019	8	0	0	1	9	0	1	0	3	0	0	0	0	0	22
Jan 2019	23	1	1	0	5	1	6	1	5	0	0	0	0	0	43
Dec 2018	12	0	0	0	2	0	1	1	0	0	0	0	0	1	17
Nov 2018	12	2	0	0	7	0	1	2	1	0	0	0	0	1	26
Oct 2018	18	0	0	3	14	4	1	3	1	0	0	0	0	0	44
Sep 2018	13	0	0	1	8	1	4	0	3	0	0	0	0	0	30
Aug 2018	7	1	0	0	2	2	5	3	1	0	1	0	0	0	22
Jul 2018	13	1	0	0	10	1	0	1	1	0	1	1	1	1	31
Jun 2018	6	0	0	1	12	0	4	1	1	0	1	0	0	0	26
May 2018	14	0	0	0	9	0	5	2	5	0	0	1	0	1	37
Apr 2018	17	2	0	4	2	0	3	2	3	0	0	1	0	1	35
Mar 2018	21	0	0	1	9	0	3	2	0	0	0	0	0	0	36
Feb 2018	11	1	0	1	5	0	2	1	3	0	0	0	0	1	25
Jan 2018	13	1	0	0	2	2	2	3	4	0	0	0	0	0	27
Dec 2017	21	0	0	0	14	1	2	2	3	0	0	0	1	1	45
Nov 2017	13	5	0	1	9	2	0	1	2	0	1	0	0	0	34
Oct 2017	20	1	0	0	6	1	1	0	2	0	0	0	0	1	32
Sep 2017	18	1	0	0	6	1	3	0	0	0	0	1	0	0	30
Aug 2017	18	0	0	1	8	1	1	1	2	0	0	0	0	0	32
Jul 2017	18	0	1	0	11	0	6	1	4	0	0	1	0	0	42
Jun 2017	20	1	0	0	6	1	2	3	5	0	0	0	1	0	39
May 2017	17	0	0	0	8	0	6	1	3	0	0	0	0	0	35
Apr 2017	14	0	0	1	3	0	3	1	0	0	0	0	0	1	23
Mar 2017	10	1	0	1	4	0	3	3	2	0	0	0	0	0	24
Feb 2017	11	0	0	0	10	0	2	2	0	0	0	0	0	0	25
Jan 2017	11	0	0	0	17	0	2	2	1	0	0	0	0	1	34
Dec 2016	15	2	0	0	13	0	3	1	3	0	1	0	0	1	39
Nov 2016	9	1	0	0	9	1	2	2	4	0	1	0	0	0	29
Oct 2016	21	0	0	0	17	3	4	3	2	0	0	0	0	0	50
Sep 2016	6	0	0	0	5	3	5	1	4	0	0	0	0	2	26
Aug 2016	17	2	0	0	12	2	8	5	8	0	0	0	1	0	55
Jul 2016	20	0	0	0	4	3	5	1	5	0	0	0	0	2	40
Jun 2016	13	2	0	0	6	0	3	0	2	0	0	0	0	1	27
May 2016	23	0	0	0	11	2	11	0	0	0	0	0	0	2	49
Apr 2016	15	2	0	0	5	0	5	1	4	0	1	0	0	1	34
Mar 2016	22	0	0	0	17	0	7	1	2	0	0	0	1	0	50
Feb 2016	15	0	0	0	2	0	2	1	1	0	0	0	1	2	24
Jan 2016	16	0	0	0	5	0	3	0	4	0	0	0	0	1	29
Dec 2015	17	2	0	0	3	2	1	0	1	0	0	0	0	0	26
Nov 2015	22	4	0	0	12	1	8	1	2	0	1	0	0	1	52
Oct 2015	18	0	0	1	2	0	7	1	1	0	0	0	1	0	31
Sep 2015	22	1	0	0	9	1	10	1	1	0	0	0	0	1	46
Aug 2015	22	1	0	0	4	0	8	1	3	0	0	0	0	0	39
Jul 2015	25	1	0	0	10	0	10	3	0	0	0	1	0	0	50
Jun 2015	16	4	0	0	8	0	4	3	1	0	0	0	0	1	37
May 2015	15	1	0	0	14	1	4	2	2	1	1	0	0	1	42
Apr 2015	21	2	0	0	12	0	5	4	2	0	0	0	1	0	47
Mar 2015	7	0	0	1	7	0	2	2	3	0	0	0	0	0	22
Feb 2015	6	2	0	5	13	0	2	1	1	0	0	0	1	1	32
Jan 2015	8	3	1	0	5	0	7	2	0	0	0	0	0	1	27
Dec 2014	16	3	0	0	7	0	4	1	1	0	0	0	0	0	32
Nov 2014	18	1	0	0	6	0	9	1	1	0	0	0	0	0	36
Oct 2014	8	5	0	7	15	0	8	1	0	0	0	1	0	1	46
Sep 2014	9	2	0	3	3	2	2	1	1	0	0	0	0	0	23
Aug 2014	11	1	0	1	10	0	7	2	0	0	0	0	0	0	32
Jul 2014	9	3	0	2	10	0	5	2	0	1	0	0	0	3	35
Jun 2014	18	3	0	0	10	0	7	5	1	0	0	0	0	0	44
May 2014	17	4	0	1	4	1	4	2	0	0	0	0	0	0	33
Apr 2014	22	5	0	0	7	1	3	2	0	0	0	0	0	0	40
Mar 2014	18	1	0	4	7	2	3	2	0	1	0	0	0	1	39
Feb 2014	15	1	0	0	2	0	1	1	1	0	0	0	0	1	22
Jan 2014	18	1	0	0	3	0	3	1	0	0	0	2	0	1	29
Dec 2013	9	2	0	1	6	0	2	1	0	0	0	0	0	0	21
Nov 2013	16	1	0	1	3	0	1	4	0	1	0	0	0	0	27
Oct 2013	23	1	0	0	7	0	12	1	1	1	0	0	0	1	47
Sep 2013	18	1	0	1	8	1	4	0	1	0	0	0	0	0	34
Aug 2013	25	5	1	2	9	0	2	2	0	0	0	0	0	1	47
Jul 2013	31	0	0	1	5	3	2	6	0	1	0	0	0	2	51
Jun 2013	32	1	0	0	11	0	5	5	0	0	0	0	0	1	55
May 2013	21	2	0	0	7	0	2	2	1	0	1	0	1	0	37
Apr 2013	22	3	0	1	6	1	4	4			1	0		0	42
Mar 2013	19	2	0	0	12	1	5	6			0	0		1	46
Feb 2013	20	4	0	0	7	1	1	3			0	0		2	38
Jan 2013	16	1	0	0	12	0	6	0			2	0		2	39
Dec 2012	20	3	1	1	3	0	3	1			0	1		1	34
Nov 2012	21	2	0	1	8	0	1	4			0	0		1	38
Oct 2012	33	0	0	0	8	1	18	4			0	0		0	64
Sep 2012	19	0	0	0	6	0	2	4			3	0		0	34
Aug 2012	21	2	0	2	7	0	1	3			0	1		0	37
Jul 2012	20	1	1	0	8	0	4	3			2	0		1	40
Jun 2012	16	2	0	4	6	0	8	0			0	0		0	36
May 2012	21	1	0	0	5	0	11	2			1	0		0	41
Apr 2012	21	1	0	0	3	0	2	1			2	1		0	31
Mar 2012	30	4	0	0	5	0	8	5			2	0		0	54
Feb 2012	24	1	0	2	2	1	7	0			2	0		1	40
Jan 2012	10	0	0	1	5	2	2	1			1	0		0	22
Dec 2011	15	3	0	0	4	0	2	3			0	1		0	28
Nov 2011	12	1	0	0	4	0	11	1			2	0		1	32
Oct 2011	14	1	0	1	8	0	3	1			1	0		1	30
Sep 2011	20	0	0	0	2	0	6	6			0	0		2	36
Aug 2011	0	0	0	0	0	0									0
Jul 2011	0	0	0	0	0	0									0
Jun 2011	0	0	0	0	0	0									0
May 2011	0	0	0	0	0	0									0
Apr 2011	0	0	0	0	0	0									0
Mar 2011	0	0	0	0	0	0									0
Feb 2011	0	0	0	0	0	0									0
Jan 2011	0	0	0	0	0	0									0
Dec 2010	0	0	0	0	0	0									0

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 95PP11W1

©Copyright UKCrimeStats.com

©Copyright UKCrimeStats.com

Crime Type and ASB Charts for 95PP11W1

©Copyright UKCrimeStats.com

©Copyright UKCrimeStats.com

©Copyright UKCrimeStats.com

©Copyright UKCrimeStats.com

©Copyright UKCrimeStats.com

©Copyright UKCrimeStats.com

©Copyright UKCrimeStats.com

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".