95GG10S1 Northern Ireland SOA

95GG10S1

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Blackstaff_1
Residential Population: 1,826 (mid-2013 estimate)

Males: 953

Females: 918

Population Density: 11.41 Persons per Hectare

Land Area: 160.00 Hectares

Daytime Population: 6,939

Population Density: 43.37 Persons per Hectare

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Crime in 95GG10S1

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Jan 2023	4	2	0	1	10	9	2	6	0	0	0	0	0	0	34
Dec 2022	1	0	1	0	4	8	1	3	1	0	1	0	0	0	20
Nov 2022	7	0	0	5	4	9	4	2	3	0	0	0	0	1	35
Oct 2022	14	1	0	1	5	3	2	6	1	0	0	0	0	0	33
Sep 2022	6	2	0	0	27	4	4	5	3	4	0	0	0	0	55
Aug 2022	10	1	0	1	10	11	1	10	3	0	1	1	0	2	51
Jul 2022	9	1	0	0	4	6	2	5	3	2	0	0	0	1	33
Jun 2022	9	0	0	1	9	6	2	5	0	1	0	0	0	2	35
May 2022	8	2	0	2	19	11	3	9	1	0	1	0	0	1	57
Apr 2022	7	1	0	0	5	10	0	2	3	0	1	0	0	3	32
Mar 2022	6	0	0	1	5	7	2	4	1	1	0	0	0	1	28
Feb 2022	7	3	0	1	5	0	0	5	0	0	0	0	0	0	21
Jan 2022	5	0	0	1	6	4	3	3	2	0	0	0	0	0	24
Dec 2021	8	2	2	1	11	3	5	5	0	0	0	0	0	0	37
Nov 2021	6	0	0	4	8	7	5	3	1	0	1	0	0	1	36
Oct 2021	5	0	0	0	9	3	5	4	1	0	1	0	0	0	28
Sep 2021	10	1	1	1	25	8	5	11	5	0	2	0	1	0	70
Aug 2021	8	3	0	0	3	4	3	3	0	1	0	0	0	0	25
Jul 2021	7	0	0	1	7	10	3	3	2	1	0	0	0	0	34
Jun 2021	5	0	0	0	11	8	5	2	1	1	0	0	0	0	33
May 2021	10	2	0	2	7	2	5	4	1	0	0	0	0	1	34
Apr 2021	16	2	1	0	5	4	1	2	0	0	0	0	0	0	31
Mar 2021	11	0	0	0	10	9	3	2	0	0	0	0	0	1	36
Feb 2021	4	1	0	0	3	3	3	1	4	0	0	1	0	1	21
Jan 2021	8	3	0	0	12	2	7	2	1	0	0	0	0	0	35
Dec 2020	7	1	0	0	7	7	3	1	0	0	1	1	0	0	28
Nov 2020	5	1	0	2	1	7	3	3	1	1	0	0	0	2	26
Oct 2020	18	1	0	0	5	12	1	5	0	1	1	0	0	0	44
Sep 2020	17	1	0	2	4	4	2	7	1	0	0	0	0	0	38
Aug 2020	11	1	0	0	8	7	6	3	0	0	0	0	0	0	36
Jul 2020	9	1	0	2	2	6	2	6	1	2	0	0	0	0	31
Jun 2020	6	1	0	1	11	1	6	2	2	2	0	0	0	0	32
May 2020	15	1	0	0	5	1	6	3	0	1	0	0	0	0	32
Apr 2020	15	1	0	2	1	1	4	4	1	0	0	0	0	1	30
Mar 2020	10	0	0	2	8	3	2	4	2	1	0	0	0	0	32
Feb 2020	10	2	1	0	10	9	6	6	0	0	0	0	1	1	46
Jan 2020	7	3	0	0	5	10	2	5	1	2	0	0	0	0	35
Dec 2019	5	3	0	0	6	5	1	3	1	0	0	0	0	2	26
Nov 2019	8	3	1	2	7	4	5	5	0	0	0	0	0	1	36
Oct 2019	4	3	0	1	7	8	6	5	1	1	0	0	0	0	36
Sep 2019	9	3	1	1	7	9	3	8	3	0	0	1	0	1	46
Aug 2019	9	3	0	0	19	8	9	8	5	1	0	0	0	1	63
Jul 2019	15	0	0	3	6	10	7	10	0	5	2	0	0	0	58
Jun 2019	6	2	1	2	12	8	0	12	0	0	0	0	0	1	44
May 2019	10	1	0	2	10	12	4	9	4	0	0	0	0	0	52
Apr 2019	12	0	0	1	7	8	5	5	2	1	0	0	0	2	43
Mar 2019	12	0	0	5	11	12	5	2	3	0	0	0	1	0	51
Feb 2019	10	1	1	4	5	8	1	5	1	0	0	0	0	3	39
Jan 2019	21	4	1	1	2	3	4	5	2	1	0	0	0	2	46
Dec 2018	11	3	0	4	11	7	3	6	2	1	0	0	0	1	49
Nov 2018	9	3	3	2	5	13	11	6	1	0	3	0	0	1	57
Oct 2018	12	5	1	1	9	8	7	6	1	0	0	0	0	1	51
Sep 2018	13	1	0	0	8	10	5	7	1	0	0	0	1	0	46
Aug 2018	14	0	0	4	5	12	6	7	2	1	1	0	0	1	53
Jul 2018	5	5	0	1	7	5	2	10	0	0	0	0	0	1	36
Jun 2018	8	2	1	1	7	6	3	9	0	1	2	2	0	2	44
May 2018	12	3	1	1	15	14	4	5	0	0	0	0	0	1	56
Apr 2018	17	1	0	6	7	9	2	5	0	1	0	1	0	2	51
Mar 2018	16	2	0	3	6	8	3	2	2	1	0	0	0	1	44
Feb 2018	10	5	0	1	5	14	3	4	1	0	0	0	0	3	46
Jan 2018	10	2	0	0	5	15	2	7	1	0	0	0	1	0	43
Dec 2017	16	2	0	1	7	16	0	5	2	0	0	0	0	1	50
Nov 2017	16	3	0	1	6	8	5	7	0	0	1	0	1	2	50
Oct 2017	16	1	0	2	14	8	10	10	0	2	0	0	0	6	69
Sep 2017	26	0	0	0	11	8	5	10	2	0	0	2	1	0	65
Aug 2017	17	2	1	0	21	5	6	10	6	0	3	2	1	2	76
Jul 2017	17	2	0	3	6	5	4	6	1	0	0	1	0	0	45
Jun 2017	12	5	0	3	7	3	4	6	1	1	0	1	0	1	44
May 2017	10	2	2	0	8	12	3	10	1	0	0	0	0	0	48
Apr 2017	7	1	0	1	4	6	2	10	1	0	1	0	0	0	33
Mar 2017	16	1	0	0	6	10	6	9	1	1	0	0	0	2	52
Feb 2017	11	3	0	3	9	9	5	11	1	0	0	1	0	0	53
Jan 2017	7	2	0	1	3	7	1	8	1	0	0	0	0	0	30
Dec 2016	12	4	0	2	12	7	3	11	1	0	0	0	0	0	52
Nov 2016	8	2	0	2	4	8	4	6	0	2	0	0	1	0	37
Oct 2016	12	4	0	2	5	5	7	3	1	1	0	0	0	0	40
Sep 2016	7	3	1	3	9	14	4	7	0	0	0	1	1	1	51
Aug 2016	14	1	0	2	30	5	3	20	0	0	5	1	1	0	82
Jul 2016	12	2	0	0	2	8	4	8	2	1	0	0	0	0	39
Jun 2016	16	4	0	2	6	7	3	4	0	0	0	0	0	1	43
May 2016	17	0	0	0	9	12	2	8	3	0	0	0	0	1	52
Apr 2016	19	1	0	2	8	6	3	6	2	0	0	0	0	1	48
Mar 2016	21	3	0	3	8	12	2	5	1	1	0	1	0	1	58
Feb 2016	12	1	0	1	6	9	2	7	0	1	0	0	0	1	40
Jan 2016	4	2	0	0	3	1	5	6	1	0	0	0	0	1	23
Dec 2015	16	4	0	4	9	8	6	15	3	0	0	1	0	0	66
Nov 2015	8	1	2	1	4	8	4	9	3	1	0	0	0	0	41
Oct 2015	8	3	0	2	8	12	3	11	1	1	0	0	0	2	51
Sep 2015	8	7	1	0	18	15	2	16	3	0	1	1	0	0	72
Aug 2015	21	0	1	4	35	15	5	13	3	0	7	0	0	0	104
Jul 2015	14	3	0	1	9	13	6	12	1	1	0	0	0	0	60
Jun 2015	21	1	0	2	9	10	3	10	0	0	1	0	0	0	57
May 2015	12	0	0	4	13	16	3	11	0	0	0	0	0	0	59
Apr 2015	14	3	0	3	7	10	3	10	2	1	0	0	0	0	53
Mar 2015	10	5	0	1	9	9	9	6	0	0	1	0	0	1	51
Feb 2015	27	0	0	2	10	10	1	9	2	0	0	0	0	0	61
Jan 2015	6	2	0	1	2	5	8	4	1	0	1	0	0	3	33
Dec 2014	8	1	0	0	6	12	3	7	2	1	0	0	0	0	40
Nov 2014	7	5	1	1	11	18	6	8	1	0	0	0	0	2	60
Oct 2014	7	2	0	4	3	11	7	8	2	1	0	0	0	5	50
Sep 2014	9	4	1	1	7	11	5	10	0	1	0	0	0	0	49
Aug 2014	12	0	1	1	29	9	3	21	5	0	6	0	0	0	87
Jul 2014	9	1	0	3	3	14	4	12	0	1	0	0	0	1	48
Jun 2014	11	3	0	1	7	8	3	22	1	0	0	0	0	0	56
May 2014	5	1	0	2	10	11	9	13	1	0	0	1	0	2	55
Apr 2014	12	3	0	0	2	11	6	5	2	1	0	0	2	3	47
Mar 2014	8	3	1	2	4	9	4	9	0	0	0	0	1	1	42
Feb 2014	9	3	2	2	10	8	5	6	1	0	1	0	1	1	49
Jan 2014	4	1	0	5	5	13	2	4	1	0	0	1	0	2	38
Dec 2013	17	5	3	2	4	8	6	8	2	0	0	0	0	1	56
Nov 2013	11	4	0	3	3	17	4	8	0	0	0	0	0	2	52
Oct 2013	15	6	2	0	0	19	7	5	2	2	0	1	0	1	60
Sep 2013	11	1	0	1	6	8	4	11	0	0	1	0	0	2	45
Aug 2013	24	4	2	1	32	6	6	25	8	1	3	0	0	3	115
Jul 2013	19	4	0	3	5	10	2	9	0	0	1	0	2	2	57
Jun 2013	21	4	1	5	3	4	1	5	1	0	0	0	0	0	45
May 2013	19	2	0	2	2	6	2	10	1	1	0	0	0	2	47
Apr 2013	11	3	0	1	3	9	1	10			0	1		1	40
Mar 2013	10	3	1	6	9	13	5	6			0	2		0	55
Feb 2013	5	1	2	0	4	12	5	10			0	2		0	41
Jan 2013	9	3	1	2	4	8	5	6			1	0		2	41
Dec 2012	10	2	2	2	7	6	3	5			1	0		1	39
Nov 2012	10	2	1	5	5	7	7	4			0	1		3	45
Oct 2012	14	2	0	0	6	6	8	9			1	0		1	47
Sep 2012	19	4	0	1	2	7	5	3			0	1		1	43
Aug 2012	20	9	0	1	7	4	5	4			6	1		1	58
Jul 2012	6	1	0	4	6	6	5	6			0	0		0	34
Jun 2012	9	3	0	0	1	8	12	10			1	1		0	45
May 2012	13	3	0	0	4	8	5	11			1	1		3	49
Apr 2012	8	3	0	1	2	4	5	10			0	0		2	35
Mar 2012	9	3	0	0	4	7	2	5			1	1		3	35
Feb 2012	5	0	0	0	5	9	4	5			0	1		2	31
Jan 2012	10	4	0	2	19	6	2	6			1	2		3	55
Dec 2011	7	2	0	3	6	8	8	6			1	0		0	41
Nov 2011	9	3	0	2	9	14	6	7			2	0		3	55
Oct 2011	9	2	0	1	7	13	2	7			0	1		1	43
Sep 2011	15	5	0	1	4	14	6	5			0	2		0	52
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 95GG10S1

©Copyright UKCrimeStats.com

©Copyright UKCrimeStats.com

Crime Type and ASB Charts for 95GG10S1

©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".