NG11 9 Postcode Sector

NG11 9, Nottingham

Found within Postcode District NG11, which covers Clifton South Ward

Residential Population: 9,207

Population Density: 50.72 Persons per Hectare

Land Area: 181.54 Hectares

Daytime Population: 6,693

Population Density: 36.87 Persons per Hectare

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Crime in NG11 9, Nottingham

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Feb 2024	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Jan 2024	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Dec 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Nov 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Oct 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Sep 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Aug 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Jul 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Jun 2023	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1
May 2023	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Apr 2023	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1
Mar 2023	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Feb 2023	17	3	0	2	37	5	10	11	3	0	2	3	3	2	98
Jan 2023	2	8	1	5	43	6	10	6	1	1	2	0	7	4	96
Dec 2022	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Nov 2022	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Oct 2022	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1
Sep 2022	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Aug 2022	40	1	0	5	29	7	13	9	6	1	1	1	6	2	121
Jul 2022	4	1	2	4	21	1	5	12	2	0	0	1	7	0	60
Jun 2022	4	2	0	4	38	8	15	6	2	1	0	1	6	4	91
May 2022	32	2	1	6	50	3	12	7	0	0	1	1	4	3	122
Apr 2022	33	2	0	11	29	4	11	4	1	1	0	2	2	5	105
Mar 2022	26	6	1	8	34	5	9	3	2	1	0	0	5	4	104
Feb 2022	15	1	0	4	27	2	6	9	0	1	0	0	3	0	68
Jan 2022	2	2	3	1	25	0	4	4	2	0	1	0	2	2	48
Dec 2021	24	2	0	3	33	6	8	3	3	2	0	2	1	1	88
Nov 2021	20	1	0	4	29	3	7	3	0	3	0	0	3	3	76
Oct 2021	2	2	0	1	24	2	11	6	4	0	1	0	8	3	64
Sep 2021	27	0	0	4	32	2	12	4	4	0	0	1	4	2	92
Aug 2021	30	2	0	1	23	2	5	4	4	0	0	2	11	1	85
Jul 2021	38	3	1	1	38	1	9	5	5	0	0	1	7	1	110
Jun 2021	58	2	0	4	32	1	7	4	1	1	0	0	7	3	120
May 2021	28	2	2	8	38	10	11	6	3	0	1	0	9	4	122
Apr 2021	46	4	0	6	22	7	8	1	4	0	0	0	6	2	106
Mar 2021	32	2	1	1	27	4	10	2	2	0	0	2	3	2	88
Feb 2021	34	0	0	0	26	2	5	0	2	0	0	0	1	0	70
Jan 2021	26	1	1	2	20	3	8	3	1	1	0	0	3	3	72
Dec 2020	26	2	2	3	22	8	6	1	1	0	1	1	4	1	78
Nov 2020	18	3	3	3	15	3	3	2	2	0	0	0	3	2	57
Oct 2020	27	0	0	2	24	5	8	3	0	1	1	1	9	0	81
Sep 2020	24	3	2	3	34	2	9	4	5	0	0	0	4	1	91
Aug 2020	29	3	2	2	37	4	4	2	2	2	0	0	4	0	91
Jul 2020	40	3	2	2	21	7	8	5	5	1	1	1	1	3	100
Jun 2020	22	2	0	2	26	15	7	3	5	0	2	0	3	2	89
May 2020	56	3	1	1	23	0	4	6	4	1	0	0	7	3	109
Apr 2020	66	1	0	5	15	3	5	2	1	1	4	0	8	1	112
Mar 2020	27	3	0	2	28	5	6	2	3	0	1	0	2	0	79
Feb 2020	19	3	0	5	29	9	1	4	3	1	0	0	2	1	77
Jan 2020	11	3	0	6	35	6	7	3	3	0	0	0	7	0	81
Dec 2019	19	2	1	1	33	0	4	6	0	0	0	0	5	1	72
Nov 2019	16	3	0	3	28	0	8	3	3	0	0	1	2	0	67
Oct 2019	21	5	0	4	41	1	4	4	2	1	0	1	3	4	91
Sep 2019	10	1	1	3	29	1	7	6	1	1	1	1	1	1	64
Aug 2019	27	3	0	8	27	1	11	7	3	1	0	1	4	5	98
Jul 2019	26	0	1	8	29	1	8	6	2	1	0	1	4	2	89
Jun 2019	42	2	1	2	29	2	6	4	1	0	0	0	14	0	103
May 2019	26	2	3	2	26	2	11	3	0	0	0	0	7	4	86
Apr 2019	19	3	1	2	39	4	10	6	3	0	0	2	5	1	95
Mar 2019	28	3	1	4	31	1	10	5	3	0	2	1	7	0	96
Feb 2019	13	3	0	4	26	1	11	2	1	0	0	0	4	1	66
Jan 2019	16	3	0	9	21	0	7	1	0	0	0	2	5	4	68
Dec 2018	23	0	1	12	32	1	21	4	3	0	0	0	1	3	101
Nov 2018	33	2	2	5	30	0	11	10	0	1	2	0	11	4	111
Oct 2018	23	1	2	6	17	0	9	5	0	1	0	1	6	1	72
Sep 2018	12	7	2	6	25	4	10	1	5	0	0	1	3	2	78
Aug 2018	22	4	2	5	25	8	12	3	1	2	0	0	1	2	87
Jul 2018	30	2	4	2	22	0	9	7	1	3	2	0	8	2	92
Jun 2018	22	6	0	8	28	1	7	2	1	0	0	0	8	3	86
May 2018	18	8	2	5	28	3	9	4	6	0	1	0	1	2	87
Apr 2018	21	3	0	9	34	2	7	4	3	0	1	0	6	2	92
Mar 2018	19	2	0	2	20	1	5	4	5	0	0	2	4	2	66
Feb 2018	23	1	0	6	28	1	10	3	1	0	0	1	4	0	78
Jan 2018	14	2	3	1	26	3	11	0	6	0	0	2	4	1	73
Dec 2017	21	1	1	1	20	2	4	4	2	0	1	0	1	0	58
Nov 2017	22	0	0	3	16	0	7	2	3	0	0	1	2	0	56
Oct 2017	22	0	0	4	23	6	4	3	2	0	0	1	3	3	71
Sep 2017	14	3	0	4	17	1	2	3	1	0	0	1	3	2	51
Aug 2017	23	0	2	4	27	1	8	4	4	0	0	1	4	3	81
Jul 2017	32	3	0	0	19	1	4	6	0	1	0	3	5	1	75
Jun 2017	21	4	0	0	22	3	5	4	2	0	0	1	9	1	72
May 2017	16	5	1	2	23	6	10	8	1	0	0	0	2	0	74
Apr 2017	24	4	0	4	13	3	9	4	5	0	0	0	4	0	70
Mar 2017	24	1	0	4	16	4	5	7	3	0	0	0	2	0	66
Feb 2017	34	4	0	7	32	4	6	3	1	3	0	1	3	2	100
Jan 2017	14	1	0	3	12	0	9	3	1	0	1	0	3	3	50
Dec 2016	15	4	0	3	19	1	6	1	5	1	1	0	1	2	59
Nov 2016	14	4	2	4	33	1	8	4	2	2	1	2	5	0	82
Oct 2016	24	3	0	5	22	0	9	2	0	2	0	1	5	1	74
Sep 2016	28	4	1	7	12	1	8	2	0	0	1	1	3	1	69
Aug 2016	30	6	2	1	12	0	10	8	1	1	0	1	1	0	73
Jul 2016	33	6	0	3	12	1	4	5	1	0	0	0	1	1	67
Jun 2016	29	5	0	0	18	1	6	4	0	0	0	0	3	1	67
May 2016	20	8	1	2	16	0	11	2	3	1	0	0	3	0	67
Apr 2016	21	9	4	11	9	0	8	6	5	1	0	1	2	1	78
Mar 2016	17	12	1	4	7	1	3	1	3	0	0	0	2	2	53
Feb 2016	41	7	1	3	17	1	9	8	5	0	0	0	0	3	95
Jan 2016	21	5	1	4	9	1	9	2	1	0	1	0	1	0	55
Dec 2015	41	5	1	9	16	0	4	3	2	0	0	0	1	2	84
Nov 2015	62	4	3	5	14	2	9	2	1	0	1	0	1	0	104
Oct 2015	46	4	1	7	7	0	8	4	4	0	0	2	1	1	85
Sep 2015	37	3	1	13	20	2	6	1	1	0	0	0	2	1	87
Aug 2015	31	4	1	4	13	0	8	4	1	0	0	1	2	1	70
Jul 2015	25	5	0	3	12	0	7	5	1	1	0	0	0	0	59
Jun 2015	33	1	0	2	7	1	5	4	1	1	2	0	0	2	59
May 2015	35	5	0	7	13	0	8	1	5	0	1	0	2	0	77
Apr 2015	25	5	1	3	11	1	14	7	1	1	0	0	2	0	71
Mar 2015	30	14	0	4	11	5	18	2	2	1	0	0	0	0	87
Feb 2015	35	9	0	3	13	0	13	1	1	0	1	0	0	0	76
Jan 2015	22	11	2	7	12	1	8	5	3	0	2	0	0	0	73
Dec 2014	33	10	0	6	13	0	15	1	1	2	0	0	0	0	81
Nov 2014	34	5	3	7	10	1	9	2	1	1	1	0	1	0	75
Oct 2014	33	9	0	14	8	0	13	6	3	4	0	0	1	2	93
Sep 2014	26	10	0	11	9	0	10	0	2	2	0	1	1	1	73
Aug 2014	43	5	0	0	18	2	5	1	4	0	2	1	1	2	84
Jul 2014	44	5	0	1	15	0	6	2	0	2	0	0	4	0	79
Jun 2014	42	4	0	7	11	0	8	5	4	0	0	1	0	1	83
May 2014	46	7	0	8	10	1	7	5	6	1	1	0	1	0	93
Apr 2014	32	5	0	9	7	1	6	4	5	0	0	1	0	0	70
Mar 2014	35	6	1	7	11	0	7	2	1	0	0	1	1	0	72
Feb 2014	38	7	0	3	6	0	13	2	3	0	0	1	0	1	74
Jan 2014	25	3	0	6	10	0	10	2	3	2	0	0	1	0	62
Dec 2013	18	6	2	4	8	1	4	2	2	1	1	0	2	0	51
Nov 2013	25	13	2	2	8	0	12	5	3	2	1	0	0	3	76
Oct 2013	25	1	2	4	16	0	6	3	1	1	0	0	0	0	59
Sep 2013	27	5	0	3	12	0	8	1	2	1	0	0	1	0	60
Aug 2013	40	5	1	0	7	0	5	3	1	1	1	1	1	0	66
Jul 2013	45	8	1	3	10	0	5	6	0	2	0	0	2	0	82
Jun 2013	23	8	2	2	8	0	8	7	0	1	0	1	0	0	60
May 2013	22	10	0	1	7	0	6	2	3	0	0	0	0	0	51
Apr 2013	29	8	0	1	14	0	10	5			1	1		0	69
Mar 2013	42	5	0	4	12	0	5	5			0	3		0	76
Feb 2013	32	4	2	4	12	2	12	1			5	5		0	79
Jan 2013	30	3	1	1	17	2	12	2			1	1		1	71
Dec 2012	17	3	5	0	9	0	8	3			0	0		0	45
Nov 2012	27	4	0	1	12	1	9	5			7	2		1	69
Oct 2012	42	2	0	3	12	0	8	7			3	0		2	79
Sep 2012	25	4	0	5	12	0	8	2			1	0		0	57
Aug 2012	25	3	0	7	13	0	11	5			2	7		2	75
Jul 2012	25	10	0	0	14	1	10	4			4	0		2	70
Jun 2012	21	11	0	4	8	0	4	3			2	0		0	53
May 2012	26	14	0	3	8	2	12	5			6	0		1	77
Apr 2012	34	7	0	3	14	0	9	3			3	3		0	76
Mar 2012	36	15	0	2	10	1	13	7			1	1		1	87
Feb 2012	43	5	3	9	13	3	4	4			3	1		0	88
Jan 2012	34	9	2	3	10	1	10	2			0	0		0	71
Dec 2011	32	7	0	3	14	1	11	2			4	1		1	76
Nov 2011	37	8	2	3	7	0	13	3			2	4		1	80
Oct 2011	44	1	1	4	11	1	11	7			4	3		2	89
Sep 2011	33	8	0	10	7	1	7	5			1	2		5	79
Aug 2011	55	4	0	5	12	23									99
Jul 2011	63	0	2	5	9	33									112
Jun 2011	62	6	1	4	9	20									102
May 2011	38	5	0	4	12	33									92
Apr 2011	58	4	0	5	9	36									112
Mar 2011	49	2	1	6	11	30									99
Feb 2011	20	6	1	2	4	18									51
Jan 2011	39	1	2	1	10	33									86
Dec 2010	55	3	2	2	5	21									88

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 NG11 9

Crime Type and ASB Charts for NG11 9

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".