Greenfield

Population: 2,760
Policed by: North Wales Police

Jump to: Maps  |  League Table  |  Crime Trends  |  Neighbourhood Team
Loading map...


Neighbourhood Picture

The following table and graphs show you crime and ASB breakdowns and trends for Greenfield.

ASBBurglaryRobberyVehicleViolentShopliftingCD&AOther TheftDrugsBike TheftTheft From the PersonWeaponsPublic OrderOtherTotal
Feb 202471001204000001025
Jan 20243200901100000016
Dec 20235200804100002123
Nov 20232100402100000010
Oct 202351031304100002130
Sep 20234401700000000117
Aug 20234201813300000325
Jul 202391001332200005035
Jun 202340011502200003330
May 20239001801100006026
Apr 202371001001200001123
Mar 202360001803110001131
Feb 202360011225000004131
Jan 20236000902100000119
Dec 20224000503200001015
Nov 202251001304100001126
Oct 202261001314100003029
Sep 20223102414200003020
Aug 202214000912100012131
Jul 20221511011050100010044
Jun 202260011107010001128
May 202253001406000107137
Apr 20223000802000003016
Mar 202230001103000003020
Feb 202201001306000001021
Jan 20225201813100001022
Dec 202121001124000002022
Nov 202140011503000002126
Oct 202171011632100005036
Sep 20215001713300001021
Aug 20211001921101001017
Jul 202141001612210001028
Jun 20214000611000001013
May 20214100930100004123
Apr 202170021311000000024
Mar 202141001942010013136
Feb 202150001901000000025
Jan 20215200902120012024
Dec 202060001411110001025
Nov 20207000741000000019
Oct 202031001001100003019
Sep 202072011302010001128
Aug 202080001901110008038
Jul 2020102011741020002039
Jun 202010111624020004031
May 202092011163100104038
Apr 202032001001110001120
Mar 20202002590110000020
Feb 202042022202010002136
Jan 202060051000110002126
Dec 201981001330200001230
Nov 201910031011110000018
Oct 20197000402210003019
Sep 20194100624100004022
Aug 20194000931100002121
Jul 201920001101310001019
Jun 20194100600300000014
May 20192104513100002019
Apr 20193000701011002015
Mar 20193200855100001126
Feb 20193111401201001015
Jan 201900002100011001024
Dec 20182002903000003120
Nov 20184302512300004024
Oct 201822001126200001026
Sep 20180003503330000219
Aug 201841131131200001027
Jul 20181002802100010015
Jun 201841011005000000223
May 20182003603230012123
Apr 2018121001101000002027
Mar 201850001505000002128
Feb 20187001501000002016
Jan 20183200203300000215
Dec 201710000500100000016
Nov 20177000901121001123
Oct 20172100511110001013
Sep 20175000600100000012
Aug 20174204906420003034
Jul 20173402906300000128
Jun 20175201300210000014
May 20179200602300001023
Apr 20176400102300000016
Mar 20176100211200000013
Feb 20179001612200000021
Jan 20173200911102000019
Dec 20163201045100000016
Nov 20163000511000000111
Oct 20166301802300000023
Sep 20162102925300000024
Aug 20162301301201000013
Jul 20165002411020003119
Jun 20165300903201000023
May 20166100503110000017
Apr 20166101203100001116
Mar 20166101302111001017
Feb 20165100402300002017
Jan 2016120110100010007
Dec 2015300040110000009
Nov 20153001500210010013
Oct 2015400001110000108
Sep 20154001411010000113
Aug 201510200602200000022
Jul 20157202300000000014
Jun 20156000313210000016
May 20154000503111000015
Apr 201511000000020001115
Mar 20154001603111000017
Feb 20152200301110001213
Jan 20156100902200000121
Dec 20147200210100000013
Nov 20147200012000000214
Oct 20148300430201001022
Sep 2014700000100000008
Aug 20149101301100000016
Jul 201413000502200002024
Jun 20146000300210000012
May 20144601303203000022
Apr 201412201205300000025
Mar 201412001010200002018
Feb 20146001121000000011
Jan 20145101120000000010
Dec 20134400301100000013
Nov 201313100102110000019
Oct 20138002304000000017
Sep 20139404315030002132
Aug 201315000212000000020
Jul 20136001103100000012
Jun 201312401405100000027
May 201310200603200000023
Apr 201315101401200125
Mar 20137200122200016
Feb 2013400020120009
Jan 20134004102300014
Dec 20125201101101012
Nov 2012400020201009
Oct 20128101203210018
Sep 201272041216600139
Aug 201211300104111123
Jul 20128100304311021
Jun 201214001502301026
May 20128400113210121
Apr 20128100310100014
Mar 20127000401300015
Feb 20129003412200021
Jan 20124407204100123
Dec 20114300205210017
Nov 20115000712200017
Oct 20119200216010021
Sep 201110101201003018
Aug 2011141004524
Jul 2011142015628
Jun 201190017522
May 2011152021525
Apr 2011170001927
Mar 2011100004721
Feb 2011101010820
Jan 2011112013320
Dec 2010141023323


Crime Plus ASB Breakdown for Greenfield


©Copyright UKCrimeStats.com

Crime Type and ASB Charts for Greenfield


©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.




©Copyright UKCrimeStats.com

©Copyright UKCrimeStats.com

©Copyright UKCrimeStats.com

©Copyright UKCrimeStats.com

©Copyright UKCrimeStats.com

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".




©Copyright UKCrimeStats.com

©Copyright UKCrimeStats.com

©Copyright UKCrimeStats.com

©Copyright UKCrimeStats.com



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.

Neighbourhood Team

No police officers found