Crime Statistics for Tandem, Kirklees, Kirklees, 2024

This is our street level crime statistics overview for Tandem in October 2024. There were a total of 244 incidents. See where they were on the map below and broken down by categories. The largest category was Violent Crime, followed by Anti Social Behaviour.

Although violent crime represents the largest incidents category in Tandem, this category is usually the largest in any urban area. This is partly because 'Violent Crime' covers so many offences compared to say Burglary

Crime CategoryIncidents
Violent Crime101
Anti Social Behaviour34
Other Theft25
Public Order19
Shoplifting17
Criminal Damage Arson16
Burglary13
Vehicle Crime7
Other Crime4
Drugs3
Possession Of Weapons2
Theft From The Person2
Robbery1
All Crime244

Map of street level crime incidents in October 2024

Police data is divided in Policing Neighbourhoods. We have taken the 'best fit' neighbourhood that includes Tandem. This map shows if incidents are evenly distributed over the district or if there are hot spots in certain streets or areas.

Where Police data is not specific to an address for privacy reasons, most roads are represented by 1 to 2 markers or clusters. However, this should be enough to ascertain if the road you live in or are thinking of moving to, is a crime hot spot. The only exception could be where there is a large cluster of a single crime category on a street, as this could but not necessarily be related to multiple incidents at one address.



Crime incidents in neighbouring areas to Tandem

We've taken the ten nearest places to Tandem and ranked them by the number of crime incidents in each. This should allow you to see if Tandem has more crime than other surrounding areas.

LocationCrime Incidents
Moldgreen (1.24 miles)528
Rawthorpe (0.88 miles)399
Dalton (0.62 miles)331
Greenside244
Tandem244
Fenay Bridge (0.88 miles)208
Holme (1.37 miles)182
Almondbury (0.88 miles)155
Cockley Hill (0.88 miles)153
Gawthorpe (1.24 miles)100

7.58%
of Almondbury residents were born outside of the UK, according to the 2021 Census



Where are the most violent places near Tandem?

The category of crime that most concerns people is violent crime. We have taken the ten nearest place to Tandem and ranked them according to the number of violent incidents in the 'best fit' Policing neighbourhood.

LocationViolent Incidents
Moldgreen214
Rawthorpe173
Dalton142
Greenside101
Tandem101
Holme90
Fenay Bridge82
Gawthorpe80
Cockley Hill63
Almondbury61

How likely are you to be a victim of crime in Tandem?

Every two years the government publishes the Index of Multiple Deprivation. One of those domains is crime, more precisely, how likely you are to be the victim of a what is known as 'personal crime', such as muggings or burglary. The governemnt publish these statitsics down to the Lower Super Output Area (LSOA) or in simple geographic terms, a few roads. These statistics are also published on a ward level as an average of the LSOAs in that area. We have taken the average rank and converted it into a more accessble form, a score out of 100. Where the higher the score, the more likely you are in Tandem to be a victim of personal crime. Note that the following score has been generated from the 2019 statistics. At the time of writing, these have not been updated by the government during and since the COVID 19 pandemic.

How does crime in Tandem compare to surrounding wards?

We have taken the 10 nearest wards to Tandem and ranked them using our crime score based on the Index of Multiple Deprivation average rank for the ward.Tandem is ranked #9.

#WardScore
1Newsome87
2Greenhead83
3Crosland Moor and Netherton75
4Ashbrow72
5Brighouse71
6Dalton70
7Golcar63
8Holme Valley North57
9Almondbury56
10Mirfield53
11Kirkburton30

Which road in Tandem has the highest level of crime?

We have used the Index of Multiple Deprivation to find the Lower Super Output Area (LSOA) in Tandem with the highest crime score. Accoding to the 2019 statistics, that is in and around Fernside Avenue.

Last updated: October 2024
Information provided by data.police.uk
Published under the Open Government Licence v3.0