W02000290 MSOA

W02000290

Caerphilly 001
Residential Population: 8,837 (mid-2020 estimate)

Males: 4,378

Females: 4,459

Population Density: 4.09 Persons per Hectare

Land Area: 2158.10 Hectares

Daytime Population: 7,864

Population Density: 3.64 Persons per Hectare

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Crime in W02000290

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Feb 2024	12	1	2	2	47	3	9	5	1	0	0	0	7	3	92
Jan 2024	25	3	0	3	30	0	10	4	2	0	1	1	11	1	91
Dec 2023	11	2	0	2	37	1	4	3	1	0	0	1	5	2	69
Nov 2023	14	2	1	9	40	0	14	9	3	0	0	1	12	1	106
Oct 2023	48	5	1	10	56	0	13	9	2	0	0	0	8	2	154
Sep 2023	47	0	0	4	43	1	1	4	6	0	0	2	15	2	125
Aug 2023	36	1	0	10	46	1	0	11	8	0	0	0	10	3	126
Jul 2023	20	0	0	3	33	1	3	10	2	0	0	0	7	2	81
Jun 2023	28	1	0	8	33	0	2	6	3	0	0	1	4	0	86
May 2023	29	1	0	7	37	0	2	5	2	0	1	2	19	3	108
Apr 2023	29	1	1	4	28	1	0	3	2	0	0	3	10	4	86
Mar 2023	27	6	0	16	50	0	1	11	1	0	0	2	17	3	134
Feb 2023	22	3	0	3	54	0	0	8	2	0	0	0	14	3	109
Jan 2023	22	1	1	1	35	1	0	4	5	0	0	1	7	3	81
Dec 2022	10	2	0	5	33	3	0	1	3	0	1	0	8	3	69
Nov 2022	9	4	0	5	50	0	1	5	3	1	0	0	19	3	100
Oct 2022	15	2	0	4	27	1	0	4	9	0	0	2	16	3	83
Sep 2022	20	4	0	4	41	0	2	8	2	0	0	1	16	3	101
Aug 2022	10	6	1	4	39	2	0	3	0	0	1	0	8	4	78
Jul 2022	12	5	1	3	45	0	0	7	2	0	0	0	17	1	93
Jun 2022	14	8	0	4	49	0	1	5	2	0	0	2	7	7	99
May 2022	15	6	1	6	36	1	2	8	0	0	0	0	11	0	86
Apr 2022	25	5	0	3	27	0	4	8	2	0	0	0	15	2	91
Mar 2022	23	4	0	3	43	2	1	10	1	0	0	2	15	0	104
Feb 2022	18	6	1	3	50	2	2	6	5	0	0	2	11	1	107
Jan 2022	24	15	1	3	49	2	3	10	3	0	0	0	20	3	133
Dec 2021	16	8	0	7	38	1	0	5	2	0	0	0	11	2	90
Nov 2021	21	3	0	3	43	4	4	6	1	2	0	0	8	3	98
Oct 2021	24	2	0	9	46	4	1	7	3	0	1	2	14	1	114
Sep 2021	37	3	0	3	19	6	3	4	2	0	1	0	17	3	98
Aug 2021	45	4	1	5	33	1	2	4	0	0	0	1	18	1	115
Jul 2021	37	2	0	7	47	1	1	11	4	0	0	1	19	4	134
Jun 2021	35	6	2	3	35	0	2	5	1	0	0	0	17	5	111
May 2021	49	3	1	3	23	1	2	6	8	0	0	0	14	2	112
Apr 2021	62	0	1	6	47	1	2	3	10	1	0	0	12	2	147
Mar 2021	67	4	0	8	36	1	4	8	4	1	0	0	8	5	146
Feb 2021	70	10	0	2	35	0	4	11	3	0	1	1	10	3	150
Jan 2021	66	2	0	4	45	0	1	9	5	0	0	2	10	3	147
Dec 2020	39	1	0	5	26	0	1	4	6	1	0	0	10	3	96
Nov 2020	44	4	0	7	46	0	1	6	4	0	1	1	7	1	122
Oct 2020	35	7	0	14	37	1	6	5	4	1	0	1	11	1	123
Sep 2020	44	7	0	9	40	0	2	8	2	1	0	0	20	1	134
Aug 2020	19	5	0	9	33	0	2	3	3	1	0	0	18	5	98
Jul 2020	28	3	0	1	36	1	3	8	4	1	1	0	16	4	106
Jun 2020	31	6	0	6	45	1	5	8	1	0	0	1	10	4	118
May 2020	56	0	3	0	35	0	3	5	0	0	0	0	12	2	116
Apr 2020	120	6	0	10	27	3	4	6	1	0	1	0	13	2	193
Mar 2020	23	2	0	7	35	0	2	6	7	1	0	1	10	2	96
Feb 2020	12	16	1	6	32	2	5	9	1	0	0	0	6	2	92
Jan 2020	13	3	0	8	44	1	6	7	4	0	0	1	14	1	102
Dec 2019	15	9	1	3	44	0	1	4	3	0	0	1	15	2	98
Nov 2019	24	10	0	8	25	2	9	7	10	0	0	0	15	0	110
Oct 2019	28	14	1	3	47	1	5	12	2	0	0	0	13	3	129
Sep 2019	20	8	0	4	49	3	4	7	1	0	0	0	17	3	116
Aug 2019	16	5	0	6	24	1	3	7	1	0	1	0	14	1	79
Jul 2019	28	2	1	13	33	0	13	6	2	2	1	1	13	0	115
Jun 2019	17	4	0	4	34	0	2	7	11	0	0	0	18	1	98
May 2019	23	9	0	6	34	1	6	3	1	0	1	0	11	6	101
Apr 2019	25	15	3	10	23	0	30	10	1	1	1	0	15	3	137
Mar 2019	13	8	0	12	34	2	16	8	1	0	0	1	10	1	106
Feb 2019	16	2	1	7	22	0	19	4	2	0	1	2	10	2	88
Jan 2019	15	9	0	8	27	0	18	11	2	0	0	1	7	4	102
Dec 2018	23	15	0	16	32	2	20	4	3	0	3	0	9	3	130
Nov 2018	14	16	0	14	28	2	27	5	2	0	0	0	14	3	125
Oct 2018	19	8	0	10	45	4	23	8	1	0	0	0	15	1	134
Sep 2018	17	9	0	15	30	1	19	8	0	0	0	1	7	3	110
Aug 2018	20	11	1	19	38	2	22	7	0	1	0	0	21	2	144
Jul 2018	23	13	1	11	31	2	33	10	2	0	0	2	21	7	156
Jun 2018	13	7	0	15	25	1	8	6	1	2	0	0	16	0	94
May 2018	29	3	0	7	33	1	11	9	4	0	0	0	17	3	117
Apr 2018	18	3	0	7	43	0	8	7	1	0	0	0	16	1	104
Mar 2018	14	5	1	6	35	0	6	7	2	0	0	1	11	3	91
Feb 2018	10	7	0	3	33	2	15	7	1	0	0	0	6	1	85
Jan 2018	20	10	0	4	15	2	16	12	3	0	0	0	6	1	89
Dec 2017	25	3	0	4	22	0	23	9	1	0	0	0	4	0	91
Nov 2017	33	3	0	7	14	1	12	6	4	0	0	1	5	3	89
Oct 2017	53	13	0	5	34	1	12	8	1	1	0	1	10	9	148
Sep 2017	41	8	1	5	16	1	9	0	1	0	1	0	8	2	93
Aug 2017	44	12	1	12	26	5	21	10	2	0	1	0	13	1	148
Jul 2017	30	4	0	15	17	2	18	8	3	1	1	0	10	4	113
Jun 2017	39	7	1	13	24	3	10	4	0	1	1	1	3	2	109
May 2017	44	5	0	5	34	0	17	9	4	0	0	0	6	1	125
Apr 2017	50	4	0	6	21	2	13	8	0	0	0	0	7	2	113
Mar 2017	37	6	0	13	24	0	12	6	3	0	0	0	4	1	106
Feb 2017	31	5	0	8	12	0	10	6	0	0	0	1	7	1	81
Jan 2017	29	10	1	7	21	0	12	11	2	0	0	0	9	1	103
Dec 2016	23	5	0	13	17	0	19	14	3	0	0	0	5	0	99
Nov 2016	29	3	0	6	12	0	19	9	0	0	0	0	6	1	85
Oct 2016	47	6	0	4	19	2	15	5	0	0	0	0	7	0	105
Sep 2016	45	7	1	10	26	1	12	10	2	0	0	0	5	3	122
Aug 2016	36	6	2	10	15	0	12	7	4	0	0	0	6	1	99
Jul 2016	37	14	0	6	15	0	7	7	5	1	0	0	3	2	97
Jun 2016	35	8	0	4	26	1	15	8	0	0	0	0	6	1	104
May 2016	48	11	1	11	19	0	10	6	2	1	0	0	11	1	121
Apr 2016	46	11	0	10	18	2	14	7	2	0	0	1	5	2	118
Mar 2016	16	5	0	11	16	3	13	7	2	0	0	0	2	4	79
Feb 2016	19	6	0	9	19	0	10	8	1	0	0	0	3	0	75
Jan 2016	27	4	0	7	21	0	12	8	1	0	0	0	4	1	85
Dec 2015	44	3	1	7	17	0	12	5	3	0	0	0	2	2	96
Nov 2015	45	4	0	5	17	1	9	4	3	0	1	0	4	1	94
Oct 2015	42	5	0	2	16	0	14	7	4	0	0	2	2	1	95
Sep 2015	35	13	1	9	19	1	16	10	1	1	0	0	1	0	107
Aug 2015	36	5	0	12	16	1	5	7	4	0	0	0	4	2	92
Jul 2015	38	4	0	7	23	1	9	3	4	0	0	0	0	1	90
Jun 2015	32	4	1	11	14	0	9	15	3	0	0	1	1	3	94
May 2015	33	6	0	2	10	0	8	11	2	0	0	1	4	1	78
Apr 2015	28	12	0	11	21	0	11	9	5	0	0	0	1	1	99
Mar 2015	28	15	0	12	19	1	3	6	3	0	0	0	1	0	88
Feb 2015	39	12	0	10	13	1	19	6	0	0	0	0	0	1	101
Jan 2015	45	7	0	2	8	2	4	5	3	0	0	0	1	1	78
Dec 2014	32	7	0	2	13	0	13	2	1	0	2	0	0	0	72
Nov 2014	29	6	1	9	17	0	14	18	0	0	0	0	2	0	96
Oct 2014	44	6	1	6	13	0	12	8	1	0	0	0	4	1	96
Sep 2014	33	2	0	14	14	7	8	8	5	0	0	0	2	1	94
Aug 2014	43	6	1	13	14	0	7	4	2	2	0	0	3	1	96
Jul 2014	64	5	1	9	20	0	13	10	3	0	0	0	3	0	128
Jun 2014	58	5	1	10	21	0	14	11	2	1	0	3	8	0	134
May 2014	62	7	0	11	9	1	13	6	2	0	0	0	3	0	114
Apr 2014	46	4	0	7	14	2	10	4	2	0	0	0	1	0	90
Mar 2014	49	6	0	17	9	3	55	8	1	2	0	1	1	2	154
Feb 2014	21	7	0	6	10	1	7	6	3	0	0	0	1	1	63
Jan 2014	26	5	0	20	2	1	9	10	3	0	0	0	1	1	78
Dec 2013	22	5	0	2	1	0	13	3	0	1	0	0	0	0	47
Nov 2013	40	3	0	13	6	0	18	9	5	0	0	0	0	1	95
Oct 2013	30	8	1	15	6	1	10	7	3	1	0	0	1	2	85
Sep 2013	38	9	0	7	4	7	12	8	2	1	0	0	1	0	89
Aug 2013	24	4	0	8	6	4	5	7	2	2	0	0	1	0	63
Jul 2013	69	8	0	5	5	2	10	9	4	0	0	0	0	1	113
Jun 2013	59	2	0	6	8	5	11	5	0	0	0	0	1	1	98
May 2013	26	7	0	3	4	1	12	5	0	0	0	0	2	0	60
Apr 2013	29	9	0	11	3	0	12	7			2	0		0	73
Mar 2013	28	5	0	5	4	1	10	9			3	1		0	66
Feb 2013	29	11	0	12	5	1	12	6			2	0		4	82
Jan 2013	44	13	0	10	1	2	12	2			0	1		0	85
Dec 2012	30	9	0	6	2	0	9	1			1	1		1	60
Nov 2012	38	11	0	9	2	0	4	5			1	0		1	71
Oct 2012	47	7	0	8	6	2	14	5			1	1		1	92
Sep 2012	32	16	0	10	5	0	8	4			5	2		2	84
Aug 2012	24	7	0	8	2	4	8	4			1	0		1	59
Jul 2012	34	9	0	10	1	0	11	9			1	1		2	78
Jun 2012	20	5	0	4	5	1	6	4			4	0		3	52
May 2012	38	11	0	13	2	1	9	7			2	0		2	85
Apr 2012	28	6	0	11	4	0	9	4			2	0		0	64
Mar 2012	36	6	1	11	1	2	19	5			1	1		0	83
Feb 2012	38	9	0	7	0	2	15	9			0	0		0	80
Jan 2012	39	15	0	15	3	0	12	8			7	1		1	101
Dec 2011	52	10	0	5	2	1	12	8			3	0		0	93
Nov 2011	36	6	0	4	1	1	13	8			2	0		1	72
Oct 2011	44	3	0	5	4	0	12	9			9	0		0	86
Sep 2011	71	9	0	5	9	1	13	10			3	0		2	123
Aug 2011	47	23	0	6	7	21									104
Jul 2011	65	14	0	10	10	39									138
Jun 2011	55	15	1	6	4	42									123
May 2011	49	5	2	9	4	23									92
Apr 2011	68	6	0	8	7	31									120
Mar 2011	76	14	0	4	2	21									117
Feb 2011	58	9	0	6	6	22									101
Jan 2011	84	12	1	7	5	30									139
Dec 2010	61	4	0	5	7	27									104

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 W02000290

Crime Type and ASB Charts for W02000290

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".