Police community support officers

£31,286

Average salary

Average annual salary UK 2020 | Annual Survey of Hours and Earnings

38 hours

Average weekly hours

Average weekly hours UK 2019 | Annual Survey of Hours and Earnings

4.4%

Pay growth from 2017 to 2018

Average change in weekly pay rate | Annual Survey of Hours and Earnings

1.24%

Unemployment rate

Unemployment rate UK 2020 | Labour Force Survey

Definition: Police community support officers

*SOC Code (Standard Occupational Classification): 3315

Police Community Support Officers (PCSOs) support the local police force by patrolling the streets to provide a visible and reassuring presence and to tackle a range of crime and disorder problems. PCSOs are also attached to the British Transport Police who operate the specialised police service for the railway network across Britain.

Common tasks include:

patrols a geographic area to monitor and deter criminal and anti-social activity and disorderly conduct;
assists police officers at crime scenes and major events;
carries out house-to-house enquiries;
provides crime prevention advice and helps to support victims of crime;
may detain someone pending the arrival of a police officer;
may direct traffic and arrange for vehicles to be removed.

Qualifications

There are no formal educational requirements although entrants must pass written tests and undergo a medical check including an eyesight test. Nationality restrictions apply and background security checks will be made.

*Introduced in 1990, SOC is a multi-purpose common classification of occupations in UK. Jobs are defined in terms of skill level and skill content, including qualifications, training and work experience.

Employment status: Police community support officers

Regional employment: Police community support officers

Future employment: Police community support officers

Top 12 industries: Police community support officers

Alternative & related job titles:

Equality focus: Police community support officers

Breaking down the official government big data sources by gender, age and region. Hours and pay data based on full time equlivalent roles.