DA3 Postcode District

DA3, Dartford

Get full Postcode District Crime Report for DA3 for just £3.99 - learn more

Get full Postcode District Crime Report for DA3 for just
£3.99 - learn more

Longfield, Hartley, Fawkham

Residential Population: 16,791

Population Density: 9.12 Persons per Hectare

Land Area: 1841.77 Hectares

Daytime Population: 13,728

Population Density: 7.45 Persons per Hectare

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Crime in DA3, Dartford

	ASB	Burglary	Robbery	Vehicle	Violent	Shoplifting	CD&A	Other Theft	Drugs	Bike Theft	Theft From the Person	Weapons	Public Order	Other	Total
Feb 2024	7	9	2	11	29	3	13	4	0	1	0	1	1	1	82
Jan 2024	5	15	0	5	21	5	10	1	2	0	0	1	2	2	69
Dec 2023	7	2	0	6	34	9	13	5	1	0	0	1	2	0	80
Nov 2023	4	4	0	11	30	5	10	4	1	0	0	1	4	3	77
Sep 2023	11	4	0	8	29	7	14	3	1	1	0	1	4	2	85
Aug 2023	12	4	0	9	12	4	18	11	1	1	0	0	0	2	74
Jul 2023	18	3	1	3	31	5	8	10	3	0	0	1	1	2	86
Jun 2023	11	7	0	5	34	2	9	11	0	1	0	1	4	3	88
May 2023	20	10	0	6	23	5	10	7	1	0	0	0	4	3	89
Apr 2023	22	5	0	7	44	7	18	5	3	0	0	1	2	1	115
Mar 2023	17	10	0	9	33	4	9	4	0	0	0	0	5	4	95
Feb 2023	11	9	2	11	23	9	12	2	0	0	0	0	6	2	87
Jan 2023	10	16	0	15	25	0	24	4	2	0	0	1	3	2	102
Dec 2022	10	5	0	9	37	3	6	6	1	0	0	0	5	4	86
Nov 2022	9	8	0	21	29	0	9	7	1	0	0	0	3	2	89
Oct 2022	7	14	0	14	37	2	8	6	2	1	0	0	2	6	99
Sep 2022	16	1	1	7	31	3	10	6	1	0	0	5	5	2	88
Aug 2022	17	1	0	12	35	5	16	4	3	0	0	1	3	1	98
Jul 2022	14	5	1	11	38	1	5	9	5	0	1	0	8	7	105
Jun 2022	10	3	1	10	29	1	3	6	1	0	0	1	2	1	68
May 2022	5	1	2	8	27	2	4	4	0	0	0	0	0	0	53
Apr 2022	6	3	0	7	23	3	4	4	0	0	0	0	1	2	53
Mar 2022	1	3	0	6	27	2	5	6	0	0	0	0	1	0	51
Feb 2022	6	5	0	3	23	2	4	2	0	0	0	0	3	0	48
Jan 2022	8	11	0	8	22	9	2	3	1	0	0	0	3	3	70
Dec 2021	1	6	0	9	25	0	7	1	1	0	0	0	2	2	54
Nov 2021	5	7	0	9	20	2	11	6	1	0	1	0	2	1	65
Oct 2021	5	3	0	12	27	1	8	4	3	1	0	2	3	0	69
Sep 2021	9	4	0	8	25	2	3	4	1	0	0	0	6	6	68
Aug 2021	14	3	0	2	20	3	6	2	0	0	0	0	2	4	56
Jul 2021	22	2	0	3	32	0	6	3	0	0	0	0	2	2	72
Jun 2021	18	7	0	0	32	2	6	4	0	0	0	0	5	1	75
May 2021	9	3	1	10	44	1	5	4	0	0	0	0	3	1	81
Apr 2021	10	5	1	9	35	1	8	2	0	0	0	1	5	1	78
Mar 2021	19	4	0	9	29	5	9	8	0	0	0	0	6	3	92
Feb 2021	32	5	1	2	20	5	11	3	0	0	0	1	9	2	91
Jan 2021	18	4	0	7	28	4	9	4	5	0	0	1	4	0	84
Dec 2020	10	9	1	6	40	4	10	5	3	0	1	0	5	3	97
Nov 2020	11	15	0	9	25	3	9	5	1	0	0	0	3	0	81
Oct 2020	17	6	0	7	14	5	11	5	3	0	0	1	7	2	78
Sep 2020	10	0	1	9	23	0	5	5	0	0	0	0	0	2	55
Aug 2020	19	2	0	7	26	4	7	5	0	0	0	0	7	2	79
Jul 2020	12	3	0	9	30	4	13	4	0	0	0	1	2	0	78
Jun 2020	15	4	0	11	34	3	5	8	1	0	1	0	5	2	89
May 2020	31	8	0	5	28	1	5	4	3	0	0	2	3	0	90
Apr 2020	46	7	0	4	16	0	13	2	1	0	0	3	1	2	95
Mar 2020	13	19	2	18	26	3	14	6	4	0	0	0	3	4	112
Feb 2020	14	5	0	12	28	9	9	5	1	0	1	0	4	2	90
Jan 2020	10	9	1	13	25	10	21	8	2	0	0	1	12	2	114
Dec 2019	12	1	3	8	32	9	11	10	3	0	0	0	5	2	96
Nov 2019	15	10	1	13	33	3	39	8	1	0	0	1	12	5	141
Oct 2019	27	16	1	23	38	1	35	8	2	0	0	0	5	5	161
Sep 2019	11	4	1	6	29	4	8	7	1	2	0	1	4	3	81
Aug 2019	11	2	0	12	23	5	4	6	1	0	0	1	2	1	68
Jul 2019	24	5	1	9	27	8	11	6	1	0	0	0	9	2	103
Jun 2019	35	3	1	9	34	6	5	11	0	0	0	0	9	1	114
May 2019	10	1	1	8	15	2	6	1	1	0	0	1	2	0	48
Apr 2019	16	14	2	16	39	7	22	7	2	1	1	0	10	6	143
Mar 2019	28	15	0	17	19	2	21	10	0	0	1	1	4	2	120
Feb 2019	12	14	0	11	21	3	14	5	0	0	1	0	4	0	85
Jan 2019	18	6	4	15	32	2	18	4	1	0	0	0	6	1	107
Dec 2018	17	7	0	4	11	1	4	1	1	1	0	0	4	3	54
Nov 2018	17	5	0	11	23	3	13	3	1	3	0	0	2	0	81
Oct 2018	1	8	1	10	31	3	8	3	2	0	0	0	8	1	76
Sep 2018	28	6	0	11	46	5	13	3	0	0	0	0	10	3	125
Aug 2018	14	1	0	3	53	9	15	8	0	1	1	1	7	0	113
Jul 2018	16	7	0	10	43	2	12	4	0	1	0	0	18	3	116
Jun 2018	25	13	0	3	41	2	16	11	1	2	0	1	11	0	126
May 2018	18	5	1	8	43	2	15	6	2	1	0	1	14	6	122
Apr 2018	14	3	1	10	29	3	16	3	0	0	1	0	5	3	88
Mar 2018	10	13	1	9	31	1	13	4	1	0	1	1	4	2	91
Feb 2018	10	8	1	17	20	2	17	6	0	1	1	0	8	1	92
Jan 2018	15	5	0	17	30	6	12	5	0	0	1	1	5	0	97
Dec 2017	12	7	0	12	31	2	16	7	1	0	2	0	15	4	109
Nov 2017	16	8	0	17	33	5	19	15	0	0	0	0	7	1	121
Oct 2017	18	10	1	12	30	1	19	8	0	1	0	1	6	1	108
Sep 2017	17	14	1	8	38	0	12	9	3	0	0	1	1	0	104
Aug 2017	26	14	0	11	23	3	9	5	2	0	0	0	3	0	96
Jul 2017	24	16	0	12	34	3	11	3	1	0	0	1	9	4	118
Jun 2017	10	11	1	13	39	4	12	4	1	0	0	0	5	1	101
May 2017	27	14	0	12	24	10	10	4	2	1	1	0	5	4	114
Apr 2017	14	6	1	11	21	10	18	5	1	1	0	1	3	4	96
Mar 2017	20	12	0	13	29	7	14	15	0	0	0	1	2	3	116
Feb 2017	12	10	0	9	13	5	14	2	2	0	0	1	1	2	71
Jan 2017	11	5	1	8	24	15	9	13	1	0	0	0	3	0	90
Dec 2016	12	26	0	14	23	6	19	10	5	0	0	0	3	1	119
Nov 2016	13	12	2	6	7	13	22	5	2	0	0	0	1	1	84
Oct 2016	21	6	4	12	18	4	10	12	1	0	0	0	5	1	94
Sep 2016	18	8	0	10	14	2	10	3	4	0	0	0	2	2	73
Aug 2016	12	6	0	5	33	4	20	8	0	0	0	0	5	4	97
Jul 2016	19	14	0	12	18	2	18	6	0	0	0	0	1	1	91
Jun 2016	9	8	0	8	17	14	9	5	2	0	0	2	2	0	76
May 2016	7	6	1	9	9	5	11	4	0	0	0	0	0	1	53
Apr 2016	15	12	0	20	23	5	6	4	0	1	0	0	1	1	88
Mar 2016	22	8	0	8	11	2	20	4	0	0	0	0	1	1	77
Feb 2016	12	15	0	7	12	5	6	3	0	0	0	1	3	1	65
Jan 2016	16	13	0	8	7	5	8	4	0	1	0	0	1	0	63
Dec 2015	6	19	0	7	21	4	13	3	0	0	0	1	1	2	77
Nov 2015	12	22	0	11	17	2	7	9	1	0	1	0	0	0	82
Oct 2015	9	10	1	12	18	4	8	7	2	1	1	0	2	2	77
Sep 2015	19	6	0	10	18	0	13	11	4	1	0	0	2	1	85
Aug 2015	19	10	0	7	8	4	7	4	0	0	0	0	1	0	60
Jul 2015	10	11	1	12	17	1	5	7	1	0	0	0	2	0	67
Jun 2015	21	7	0	10	10	1	5	5	1	0	0	0	0	2	62
May 2015	25	12	0	8	15	2	10	5	1	0	0	0	0	1	79
Apr 2015	21	18	0	10	9	6	6	10	0	0	0	1	1	1	83
Mar 2015	13	24	1	17	11	7	3	14	0	0	0	0	1	2	93
Feb 2015	11	22	0	15	6	1	9	4	0	0	0	0	1	0	69
Jan 2015	9	9	1	12	19	2	12	4	1	0	0	0	1	1	71
Dec 2014	7	25	0	10	11	5	11	6	1	0	0	0	1	0	77
Nov 2014	19	13	0	6	6	5	9	7	1	0	0	0	0	0	66
Oct 2014	7	14	0	15	14	7	10	2	4	0	0	1	0	1	75
Sep 2014	12	15	1	10	11	6	7	12	1	0	1	0	0	1	77
Aug 2014	15	19	0	13	10	4	5	7	0	0	1	0	0	0	74
Jul 2014	18	6	0	9	14	9	6	2	1	1	0	0	0	4	70
Jun 2014	23	17	0	9	8	7	6	9	2	1	0	0	1	0	83
May 2014	17	11	0	9	8	7	11	12	4	0	0	0	1	0	80
Apr 2014	15	26	1	7	8	3	7	8	2	0	0	1	0	0	78
Mar 2014	14	23	0	5	6	1	6	12	2	1	0	1	1	0	72
Feb 2014	9	21	1	3	5	3	6	3	3	0	0	0	1	0	55
Jan 2014	15	16	0	15	15	5	3	2	2	0	0	0	1	0	74
Dec 2013	17	19	1	7	12	6	8	3	2	0	0	0	2	3	80
Nov 2013	17	13	1	13	8	4	5	6	2	0	0	0	0	0	69
Oct 2013	24	15	0	12	13	3	11	6	2	1	0	0	1	0	88
Sep 2013	22	14	1	15	13	4	20	1	1	1	0	0	0	1	93
Aug 2013	22	12	0	15	6	2	11	6	0	0	0	0	1	4	79
Jul 2013	23	12	0	4	19	4	8	12	1	0	0	1	2	1	87
Jun 2013	21	12	1	9	8	4	6	5	2	0	0	0	2	0	70
May 2013	26	25	0	13	4	2	12	11	0	0	0	0	1	0	94
Apr 2013	19	11	0	10	7	4	10	4			1	1		2	69
Mar 2013	12	21	0	11	8	10	8	9			1	1		1	82
Feb 2013	20	17	0	12	11	5	9	7			2	0		0	83
Jan 2013	22	8	0	11	5	4	8	9			0	0		2	69
Dec 2012	11	8	1	7	9	14	13	7			0	1		2	73
Nov 2012	26	21	0	16	3	10	16	8			2	0		0	102
Oct 2012	15	24	0	9	4	1	14	5			0	0		0	72
Sep 2012	18	13	1	11	4	2	12	5			2	0		0	68
Aug 2012	28	10	1	6	7	1	3	5			0	1		0	62
Jul 2012	23	12	1	16	8	1	7	2			2	2		2	76
Jun 2012	18	15	0	7	1	1	4	10			3	1		0	60
May 2012	37	17	2	9	3	6	11	10			2	0		0	97
Apr 2012	37	5	0	7	6	2	7	13			1	0		0	78
Mar 2012	27	13	1	10	7	4	10	9			0	0		0	81
Feb 2012	18	8	4	7	4	5	10	1			1	1		0	59
Jan 2012	22	14	0	5	5	2	8	10			0	0		3	69
Dec 2011	16	9	0	7	1	6	3	8			2	1		2	55
Nov 2011	20	12	0	7	4	2	7	4			0	0		1	57
Oct 2011	23	26	0	17	5	5	9	13			2	1		2	103
Sep 2011	25	16	0	14	4	4	9	12			3	3		0	90
Aug 2011	48	13	0	13	2	33									109
Jul 2011	26	6	0	8	3	29									72
Jun 2011	24	4	0	8	6	12									54
May 2011	29	5	0	6	2	24									66
Apr 2011	20	16	0	9	5	35									85
Mar 2011	27	19	1	9	2	34									92
Feb 2011	23	15	0	5	5	17									65
Jan 2011	12	6	0	13	2	32									65
Dec 2010	19	4	0	25	5	21									74

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 DA3

Crime Type and ASB Charts for DA3

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".