Estimating the Total Active Offender Population - PowerPoint PPT Presentation

1 / 45
About This Presentation
Title:

Estimating the Total Active Offender Population

Description:

Estimating the Total Active Offender ... What is the active offender population'? How do we calculate this ... Assault with Injury -Assault without ... – PowerPoint PPT presentation

Number of Views:53
Avg rating:3.0/5.0
Slides: 46
Provided by: wil64
Category:

less

Transcript and Presenter's Notes

Title: Estimating the Total Active Offender Population


1
Estimating the Total Active Offender Population
  • Martin Kelly
  • GSS Methodology Conference, June 07

2
Presentation
  • Introduction background
  • What is the active offender population?
  • How do we calculate this population?
  • Results / outputs
  • Questions

3
Introduction
  • Home Office methodology for estimating the size
    and profile of the active offender population
  • Developed in conjunction with Red Scientific Ltd.
  • The methodology and the estimates derived from it
    are unpublished and awaiting peer review
  • Results should therefore be viewed as unofficial
    and are subject to change

4
Background
  • Evidence-based policy making
  • Crime Trajectory Model
  • Model used to evaluate impact of crime reduction
    policies on total number of offenders and
    offences
  • This model requires a detailed understanding of
    the total offending population
  • Model starts in 02/03

5
Active Offender Population?
  • Population snapshot. Total estimated number of
    offenders and offences in 02/03
  • Total?
  • Those we know about (Convicted)
  • Those we dont know about (Non-Convicted)
  • Convicted covers the following
  • Reprimands
  • Warnings
  • Cautions
  • Court Convictions

6
What do we produce?
  • Total estimated number of offenders and offences
    broken down by
  • 14 offence types
  • Offender age (10-65)
  • Gender
  • Also broken down by segment
  • NPNS, NPS, PNS, PS, DRO
  • Serious or non-serious offences / offenders
  • Prolific or non-prolific offenders
  • Drug-related offenders

7
14 Offence Types?
8
14 Offence Types?
9
Data Sources
  • PNC Police National Computer
  • Police disposals and convictions
  • OCJS Offending Crime and Justice Survey
  • National longitudinal survey examining extent of
    offending (amongst other things)
  • AS Arrestee Survey
  • Survey of arrestees aimed at measuring
    self-reported offending and drug-use
  • BCS British Crime Survey
  • Survey of households in England and Wales aimed
    at measuring crime levels

10
Total Estimated Offences Offenders
  • We already have total estimated offences for the
    14 offence types
  • Only headline figures no detailed populations
  • Come from surveys (mainly BCS)

11
Total Population of Offences
Total Population of Offenders
OFFENDERS
OFFENCES
12
Total Population of Offences
Total Population of Offenders
OFFENDERS
OFFENCES
27M Offences
??? Offenders
13
Total Population of Offences
Total Population of Offenders
CONVICTED OFFENCES
CONVICTED OFFENDERS
27M Offences
??? Offenders
14
Total Population of Offences
Total Population of Offenders
CONVICTED OFFENCES
CONVICTED OFFENDERS
NON-CONVICTED OFFENCES BY CONVICTED OFFENDERS
27M Offences
??? Offenders
15
Total Population of Offences
Total Population of Offenders
CONVICTED OFFENCES
CONVICTED OFFENDERS
NON-CONVICTED OFFENCES BY CONVICTED OFFENDERS
ADDITIONAL NON-CONVICTED OFFENCES
27M Offences
??? Offenders
16
Total Population of Offences
Total Population of Offenders
CONVICTED OFFENCES
CONVICTED OFFENDERS
NON-CONVICTED OFFENCES BY CONVICTED OFFENDERS
ADDITIONAL NON-CONVICTED OFFENDERS
ADDITIONAL NON-CONVICTED OFFENCES
27M Offences
??? Offenders
17
Total Population of Offences
Total Population of Offenders
CONVICTED OFFENCES
CONVICTED OFFENDERS
NON-CONVICTED OFFENCES BY CONVICTED OFFENDERS
ADDITIONAL NON-CONVICTED OFFENDERS
ADDITIONAL NON-CONVICTED OFFENCES
27M Offences
??? Offenders
18
Convicted Offences Convicted Offenders
  • PNC extract
  • PNC is used by police for operational purposes
  • Also used by Home Office for research
  • From this we extract information on all convicted
    offences and convicted offenders for 14 offence
    types in 02/03

19
Total Population of Offences
Total Population of Offenders
CONVICTED OFFENCES
CONVICTED OFFENDERS
NON-CONVICTED OFFENCES BY CONVICTED OFFENDERS
ADDITIONAL NON-CONVICTED OFFENDERS
ADDITIONAL NON-CONVICTED OFFENCES
27M Offences
??? Offenders
20
Total Population of Offences
Total Population of Offenders
CONVICTED OFFENCES
CONVICTED OFFENDERS
NON-CONVICTED OFFENCES BY CONVICTED OFFENDERS
ADDITIONAL NON-CONVICTED OFFENDERS
ADDITIONAL NON-CONVICTED OFFENCES
27M Offences
??? Offenders
21
Total Population of Offences
Total Population of Offenders
CONVICTED OFFENCES
CONVICTED OFFENDERS
NON-CONVICTED OFFENCES BY CONVICTED OFFENDERS
ADDITIONAL NON-CONVICTED OFFENDERS
ADDITIONAL NON-CONVICTED OFFENCES
27M Offences
??? Offenders
22
Non-Convicted Offences by Convicted Offenders
  • Bayes Theorem
  • A convicted offender with y convictions will
    actually have committed x offences. x y
  • P(x offences y convictions)
  • P(y convictions x offences) P(x offences)
  • P(y convictions)

23
Non-Convicted Offences by Convicted Offenders
  • P(x offences)
  • Distributions of offences from AS and OCJS
  • Proportion of offenders who have committed 1
    domestic burglary, 2 domestic burglaries

24
Non-Convicted Offences by Convicted Offenders
  • P(y convictions)
  • Distributions of convictions from PNC
  • Proportion of offenders with 1 conviction for
    domestic burglary, 2 convictions
  • P(y convictions x offences)
  • Calculated using Binomial Distribution

25
Non-Convicted Offences by Convicted Offenders
  • Pi probability of being convicted for offence
    type i
  • PDB Total Domestic Burglary Convictions /
    Total Estimated Domestic Burglaries
  • Does Pi remain constant?
  • For each offence type, 3 values combined to
    calculate P(x offences y convictions)
  • Expected extra offences for offenders with y
    convictions calculated

26
Total Population of Offences
Total Population of Offenders
CONVICTED OFFENCES
CONVICTED OFFENDERS
NON-CONVICTED OFFENCES BY CONVICTED OFFENDERS
ADDITIONAL NON-CONVICTED OFFENDERS
ADDITIONAL NON-CONVICTED OFFENCES
27M Offences
??? Offenders
27
Total Population of Offences
Total Population of Offenders
CONVICTED OFFENCES
CONVICTED OFFENDERS
NON-CONVICTED OFFENCES BY CONVICTED OFFENDERS
ADDITIONAL NON-CONVICTED OFFENDERS
ADDITIONAL NON-CONVICTED OFFENCES
27M Offences
??? Offenders
28
Total Population of Offences
Total Population of Offenders
CONVICTED OFFENCES
CONVICTED OFFENDERS
NON-CONVICTED OFFENCES BY CONVICTED OFFENDERS
ADDITIONAL NON-CONVICTED OFFENDERS
ADDITIONAL NON-CONVICTED OFFENCES
27M Offences
??? Offenders
29
Total Population of Offences
Total Population of Offenders
CONVICTED OFFENCES
CONVICTED OFFENDERS
NON-CONVICTED OFFENCES BY CONVICTED OFFENDERS
ADDITIONAL NON-CONVICTED OFFENDERS
ADDITIONAL NON-CONVICTED OFFENCES N
27M Offences
??? Offenders
30
Additional Non-Convicted Offences
  • N Additional Non-Convicted Offences
  • 27M estimated offences
  • - convicted offences
  • - non-convicted offences by convicted offenders
  • In fact, 14 different values
  • N1, N2,, N14 (S N)
  • Take these 14 values and spread them over
    existing offences
  • Assign to segment using OCJS
  • Assign to age gender using existing offence
    distributions

31
Total Population of Offences
Total Population of Offenders
CONVICTED OFFENCES
CONVICTED OFFENDERS
NON-CONVICTED OFFENCES BY CONVICTED OFFENDERS
ADDITIONAL NON-CONVICTED OFFENDERS
ADDITIONAL NON-CONVICTED OFFENCES
27M Offences
??? Offenders
32
Total Population of Offences
Total Population of Offenders
CONVICTED OFFENCES
CONVICTED OFFENDERS
NON-CONVICTED OFFENCES BY CONVICTED OFFENDERS
ADDITIONAL NON-CONVICTED OFFENDERS
ADDITIONAL NON-CONVICTED OFFENCES
27M Offences
??? Offenders
33
Total Population of Offences
Total Population of Offenders
CONVICTED OFFENCES
CONVICTED OFFENDERS
NON-CONVICTED OFFENCES BY CONVICTED OFFENDERS
ADDITIONAL NON-CONVICTED OFFENDERS P
ADDITIONAL NON-CONVICTED OFFENCES
27M Offences
??? Offenders
34
Additional Non-Convicted Offenders
  • How many offenders are responsible for these N
    offences?
  • P, total number of non-convicted offenders
  • From OCJS we can estimate the proportion of
    non-convicted offenders who have committed i
    non-convicted offences, q1, q2,
  • Number of non-convicted offenders with 1
    non-convicted offence q1P
  • Number of non-convicted offenders with 2
    non-convicted offences q2P

35
Additional Non-Convicted Offenders
  • Therefore,
  • N 1.q1P 2.q2P 3.q3P
  • P N / (1.q1 2.q2 3.q3 )
  • This value P is spread proportionally over the
    existing known offenders using OCJS and age
    distribution

36
Total Population of Offences
Total Population of Offenders
CONVICTED OFFENCES
CONVICTED OFFENDERS
NON-CONVICTED OFFENCES BY CONVICTED OFFENDERS
ADDITIONAL NON-CONVICTED OFFENDERS
ADDITIONAL NON-CONVICTED OFFENCES
27M Offences
??? Offenders
37
Total Population of Offences
Total Population of Offenders
CONVICTED OFFENCES
CONVICTED OFFENDERS
NON-CONVICTED OFFENCES BY CONVICTED OFFENDERS
ADDITIONAL NON-CONVICTED OFFENDERS
ADDITIONAL NON-CONVICTED OFFENCES
27M Offences
4.2M Offenders
38
Drug-Related Offenders
  • Population only currently broken down by 4
    segments (NPNS, NPS, PNS, PS)
  • No drug-related offenders (DRO) segment
  • Arrestee Survey (AS) is used to estimate
    proportion of offenders (and corresponding
    offences) who are drug users
  • These offenders (and corresponding offences) are
    then moved to a new DRO segment

39
Results
40
Results
41
What next?
  • Updated Calculation Tool
  • Initial calculations carried out over 13
    spreadsheets and 68 worksheets
  • New tool uses 1 key spreadsheet
  • Easier to update with new data
  • Sensitivity analysis
  • Now facing further data issues
  • OCJS was restricted to 10-25 year olds
  • OCJS now suspended
  • Future of AS uncertain

42
Alternative Methodology?
  • Capture / Recapture Methods
  • Method for estimating the size of partly hidden
    populations
  • This has already been used to estimate drug use
    prevalence in the UK by the Home Office
  • Any other suggestions?

43
Summary
  • We have developed a statistical model to estimate
    a population of total offences and offenders
  • We have essentially used our knowledge of known
    convicted offenders and known convicted offences
    combined with survey data to extrapolate this
    population
  • This estimated population is the basis of
    modelling that we do to estimate the impact of
    potential crime reduction policies and
    initiatives

44
Finally
"Reports that say that something hasn't happened
are always interesting to me, because as we know,
there are known knowns there are things we know
we know. We also know there are known unknowns
that is to say we know there are some things we
do not know. But there are also unknown unknowns
-- the ones we don't know we don't know."
Donald Rumsfeld
45
Questions
Martin Kelly martin.kelly_at_homeoffice.gsi.gov.uk
020 7035 3392
Write a Comment
User Comments (0)
About PowerShow.com