1. The Safety Monitor in The Netherlands
Leanne Houben
22 june 2010
Statistics Netherlands

2. Overview Objectives Features Modes Victimisation / mode Weighting
Conclusion
Statistics Netherlands

3. Objectives Monitoring safety feelings, victimisation, etc.
at national, regional and local level
Assess differences between regions
Assess changes over time
Assess relationships with background characteristics
Statistics Netherlands

4. Features Design Frequency Study population Response Oversampling
Questionnaire partly obligatory with optional blocks
Multi-modular design (CAWI, PAPI, CATI & CAPI)
Statistics Netherlands

5. Questionnaire Obligatory Optional Liveability Reporting crime
Problems in neighbourhood
Feelings of unsafety
victimisation
Optional
Reporting crime
Preventive measures
Citizen-police contact
Police functioning
Opinion about police and local authorities
Unsafe locations
Irrespective behaviour
Statistics Netherlands

6. Sequential mixed mode design
cawi
papi
cati or
capi
Statistics Netherlands

7. Descriptives Characteristics 2008 2009 Communities oversampled 77 239
Response
62.803
Response rate
40.3%
39.6%
CAWI
56 %
69 %
PAPER
11 %
12 %
CATI
27 %
17 %
CAPI
5 % 1%
Statistics Netherlands

8. Weighting (1) Sex Police region Age Household size
Level of urbanisation
Country of origin
Oversampling at police region level / community level
Response mode
Statistics Netherlands

9. After weighting with the standard procedure
Response modes
2008
2009
Cati & Capi
40,9%
25,9%
Cawi & Papi
59,1%
74,4%
Correction : 40% cati & capi and 60% cawi & papi
Statistics Netherlands

10. Conclusion Different modes give different levels of victimisation
Cawi & capi higher levels, paper lowest
Additional research mode & selection effect necessary
Statistics Netherlands
Very powerfull tool to provide information on feelings of safety, contentment about the neighbourhood and victimisation of crime and this at national and local
level
Possibility to get time series results and to determine trends from 2005 onwards
Possibility to enrich the data with information from the
Social Statistics Database such as individual
or neighborhood features and with information from
registered crime.