95GG44S2 Northern Ireland SOA

95GG44S2

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The Mount_2
Residential Population: 2,727 (mid-2013 estimate)

Males: 1,378

Females: 1,333

Population Density: 77.91 Persons per Hectare

Land Area: 35.00 Hectares

Daytime Population: 2,706

Population Density: 77.31 Persons per Hectare

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Crime in 95GG44S2

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Sep 2022	22	0	1	0	19	0	6	2	1	0	0	0	0	0	51
Aug 2022	8	1	1	1	8	0	4	3	3	0	1	0	0	1	31
Jul 2022	8	1	0	1	9	2	7	4	2	0	0	0	0	0	34
Jun 2022	15	1	0	2	24	0	6	2	1	0	0	1	0	0	52
May 2022	16	1	0	1	9	0	3	2	4	0	0	0	3	3	42
Apr 2022	7	2	0	0	14	2	3	6	1	0	0	0	0	0	35
Mar 2022	9	0	0	1	18	0	0	2	0	1	1	0	0	1	33
Feb 2022	3	2	0	0	10	1	0	4	2	0	0	0	1	0	23
Jan 2022	12	0	0	3	17	1	2	1	1	0	0	0	0	0	37
Dec 2021	10	0	0	0	13	0	2	1	3	0	0	1	0	0	30
Nov 2021	7	2	1	0	15	0	2	4	1	0	0	0	0	0	32
Oct 2021	9	0	0	2	12	0	2	3	0	0	0	0	0	0	28
Sep 2021	13	0	0	0	18	1	5	3	1	1	0	0	0	0	42
Aug 2021	15	1	0	1	8	3	2	5	2	0	0	0	0	0	37
Jul 2021	12	0	0	0	9	7	2	2	4	0	0	0	0	0	36
Jun 2021	7	0	0	0	16	5	1	1	4	0	0	0	1	1	36
May 2021	16	1	0	1	9	0	1	3	1	0	0	0	0	2	34
Apr 2021	13	0	0	0	10	3	8	3	0	1	0	0	0	0	38
Mar 2021	14	1	1	1	4	0	4	4	1	0	0	0	0	0	30
Feb 2021	7	3	0	0	8	1	0	4	3	0	0	0	0	0	26
Jan 2021	10	1	0	0	12	0	2	3	4	0	0	0	0	0	32
Dec 2020	14	1	0	1	12	2	4	2	1	0	0	0	0	0	37
Nov 2020	9	1	0	1	19	2	2	3	0	0	0	0	0	0	37
Oct 2020	11	1	0	0	7	0	6	7	1	0	0	0	0	1	34
Sep 2020	10	0	0	1	4	1	3	3	4	0	0	1	0	1	28
Aug 2020	14	1	0	0	15	0	3	2	1	0	0	0	0	0	36
Jul 2020	15	1	0	0	15	0	9	3	3	0	0	1	0	2	49
Jun 2020	15	1	0	0	9	1	1	1	0	0	0	0	0	0	28
May 2020	17	2	1	0	5	0	3	2	5	2	0	0	1	0	38
Apr 2020	24	1	0	0	10	1	2	5	4	0	0	0	0	1	48
Mar 2020	11	0	0	1	4	0	3	4	1	2	0	0	0	0	26
Feb 2020	11	1	0	0	2	2	2	3	0	0	0	1	1	1	24
Jan 2020	10	2	1	0	9	3	6	1	0	0	0	0	0	0	32
Dec 2019	5	1	0	0	3	0	5	5	0	0	0	1	0	1	21
Nov 2019	8	1	0	0	12	2	8	2	4	0	0	0	0	0	37
Oct 2019	12	0	1	0	15	0	4	5	2	0	0	0	0	0	39
Sep 2019	14	1	0	1	9	1	3	3	1	0	0	1	0	1	35
Aug 2019	9	0	0	0	8	0	3	1	1	1	0	0	0	0	23
Jul 2019	8	0	1	3	14	2	3	1	1	0	0	0	1	1	35
Jun 2019	13	0	0	0	9	1	1	3	0	0	0	0	0	3	30
May 2019	10	1	0	1	6	0	3	2	0	0	0	0	0	1	24
Apr 2019	9	0	0	2	9	0	3	1	2	0	0	0	0	2	28
Mar 2019	12	1	0	0	16	6	8	8	4	0	0	2	0	0	57
Feb 2019	26	0	1	1	2	2	4	8	0	1	0	1	1	1	48
Jan 2019	8	2	0	1	12	0	4	2	2	0	0	0	0	0	31
Dec 2018	20	1	0	0	9	2	4	1	3	0	0	0	0	0	40
Nov 2018	9	2	0	0	7	1	3	3	1	0	0	0	0	1	27
Oct 2018	7	1	0	0	6	3	3	2	0	0	0	0	0	0	22
Sep 2018	9	4	0	1	7	3	4	3	1	0	0	0	1	0	33
Aug 2018	10	0	0	1	10	2	6	5	2	1	0	0	0	1	38
Jul 2018	17	3	0	0	15	1	4	3	1	0	1	0	1	1	47
Jun 2018	12	2	0	0	6	0	6	5	2	0	0	1	0	0	34
May 2018	13	2	0	0	8	0	12	2	0	0	0	3	0	0	40
Apr 2018	11	2	0	0	8	2	3	2	0	0	0	0	0	0	28
Mar 2018	17	2	0	1	20	2	2	8	1	0	0	0	0	1	54
Feb 2018	13	2	0	0	10	0	3	5	1	0	0	0	0	0	34
Jan 2018	11	4	0	1	6	10	6	3	2	2	0	0	1	2	48
Dec 2017	17	1	0	1	6	1	3	3	0	0	0	0	0	0	32
Nov 2017	9	2	1	0	6	2	6	5	0	1	0	0	0	0	32
Oct 2017	18	2	1	2	8	1	6	5	1	1	0	0	0	0	45
Sep 2017	7	0	0	0	12	1	1	4	1	0	0	1	1	1	29
Aug 2017	12	1	0	2	8	3	11	2	0	0	0	0	0	1	40
Jul 2017	18	0	0	0	9	4	7	6	1	0	0	0	0	2	47
Jun 2017	27	0	0	0	14	3	5	4	2	0	0	1	1	3	60
May 2017	25	0	0	1	9	2	8	5	4	0	0	0	0	4	58
Apr 2017	12	0	0	1	8	3	6	2	0	0	0	0	0	0	32
Mar 2017	12	1	0	0	11	2	11	4	0	0	0	0	1	0	42
Feb 2017	24	4	2	1	7	2	5	6	1	0	0	0	0	0	52
Jan 2017	17	2	0	1	7	0	8	8	2	0	0	0	0	0	45
Dec 2016	17	1	0	0	8	2	6	6	1	1	0	1	1	0	44
Nov 2016	19	0	1	2	6	1	5	9	1	0	1	0	2	0	47
Oct 2016	21	1	0	4	17	0	7	6	2	0	1	0	1	0	60
Sep 2016	14	1	1	1	11	1	3	3	0	0	0	0	1	0	36
Aug 2016	14	2	0	1	8	1	8	3	2	0	0	1	0	1	41
Jul 2016	7	0	0	2	12	1	4	4	2	0	0	1	0	0	33
Jun 2016	16	1	0	0	8	1	4	4	0	0	0	0	0	1	35
May 2016	12	2	0	0	12	2	3	6	2	0	0	0	1	1	41
Apr 2016	10	4	0	0	18	1	6	1	2	0	0	0	2	0	44
Mar 2016	12	0	0	2	12	2	6	3	1	0	0	0	1	2	41
Feb 2016	10	3	1	1	14	1	4	3	0	1	0	0	0	0	38
Jan 2016	17	6	0	1	9	0	5	8	0	1	0	0	0	0	47
Dec 2015	13	2	0	3	9	2	8	4	1	0	0	1	1	0	44
Nov 2015	12	1	0	0	8	1	6	2	1	0	0	0	0	0	31
Oct 2015	16	4	0	2	13	7	3	3	1	2	0	0	0	0	51
Sep 2015	17	2	0	1	10	2	3	1	0	0	1	0	0	1	38
Aug 2015	17	2	0	0	5	1	6	8	0	1	1	0	1	1	43
Jul 2015	19	7	0	1	16	0	6	3	0	0	0	1	2	0	55
Jun 2015	11	0	0	0	12	0	4	6	2	1	0	0	2	1	39
May 2015	8	1	0	0	8	2	14	5	2	2	0	1	0	0	43
Apr 2015	23	1	1	0	10	1	3	5	1	0	0	0	0	0	45
Mar 2015	28	1	1	1	22	0	5	5	0	0	0	0	0	2	65
Feb 2015	36	1	1	0	6	0	10	3	2	1	0	0	0	2	62
Jan 2015	16	2	0	0	9	0	6	6	2	0	0	1	0	0	42
Dec 2014	15	2	1	0	10	3	7	3	3	0	0	0	1	0	45
Nov 2014	25	3	0	0	12	0	8	3	0	1	0	0	0	0	52
Oct 2014	16	1	2	0	13	2	15	4	3	0	0	0	0	1	57
Sep 2014	27	1	0	1	12	1	14	6	1	2	0	0	0	1	66
Aug 2014	27	0	0	0	13	5	13	6	0	1	0	0	1	0	66
Jul 2014	33	2	0	0	20	4	10	5	0	1	0	1	0	0	76
Jun 2014	27	1	0	2	5	4	8	2	0	0	0	0	0	1	50
May 2014	14	5	0	0	3	3	3	4	1	0	0	0	2	0	35
Apr 2014	19	5	0	1	9	5	16	1	1	1	0	0	0	3	61
Mar 2014	18	3	0	0	5	2	4	2	1	0	0	0	0	2	37
Feb 2014	13	2	1	0	10	0	8	2	0	0	0	0	0	0	36
Jan 2014	19	0	0	4	9	0	13	5	1	0	0	0	2	0	53
Dec 2013	15	3	0	1	2	1	8	3	0	0	0	0	2	1	36
Nov 2013	10	1	0	0	3	1	7	2	0	0	0	0	0	0	24
Oct 2013	14	2	0	2	7	1	12	3	0	0	0	0	1	1	43
Sep 2013	16	1	0	0	6	2	8	2	0	1	0	0	1	0	37
Aug 2013	20	2	0	1	4	0	5	4	0	0	0	0	0	0	36
Jul 2013	14	3	0	1	6	1	15	0	1	0	0	0	0	0	41
Jun 2013	15	2	2	0	11	3	7	3	0	0	0	0	0	1	44
May 2013	10	3	0	1	11	2	6	7	0	0	0	1	3	0	44
Apr 2013	9	4	0	0	3	2	5	8			0	1		1	33
Mar 2013	13	1	1	2	11	3	6	10			1	1		0	49
Feb 2013	15	6	0	1	8	1	3	6			0	0		1	41
Jan 2013	13	0	0	0	17	3	9	5			2	1		0	50
Dec 2012	18	6	0	1	8	0	5	4			0	0		1	43
Nov 2012	9	1	0	1	7	2	5	2			0	2		0	29
Oct 2012	18	1	0	1	3	3	1	2			1	0		1	31
Sep 2012	19	1	0	0	8	4	6	4			0	0		0	42
Aug 2012	17	4	0	0	13	1	10	3			2	0		1	51
Jul 2012	19	6	1	0	12	1	5	2			1	0		0	47
Jun 2012	12	2	1	1	6	1	7	2			1	0		1	34
May 2012	17	2	0	1	0	0	2	2			0	2		2	28
Apr 2012	9	1	0	2	5	2	3	3			2	2		0	29
Mar 2012	15	1	1	0	5	1	4	1			0	1		1	30
Feb 2012	14	0	1	0	10	3	3	3			1	1		0	36
Jan 2012	11	3	0	0	4	2	1	4			1	0		0	26
Dec 2011	16	2	1	1	1	4	6	1			2	0		0	34
Nov 2011	6	2	1	1	2	4	5	0			0	2		0	23
Oct 2011	13	2	0	0	7	3	2	1			0	0		1	29
Sep 2011	9	1	0	0	4	0	2	0			0	0		0	16
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 95GG44S2

©Copyright UKCrimeStats.com

©Copyright UKCrimeStats.com

Crime Type and ASB Charts for 95GG44S2

©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".