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Analysing Police-Recorded Data1

Published online by Cambridge University Press:  15 June 2016

Allan Brimicombe
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Abstract

The quarterly bulletins on crime statistics in England and Wales are compiled from two sets of data: crime survey and police-recorded crime. Whilst the former is considered to give the most reliable trends, the latter has a greater level detail for a fuller spectrum of crimes types. This paper by Allan Brimicombe, explores the advantages and problems of analysing police-recorded data for the insights they contain. This is illustrated by examples from an analysis of domestic violence.

Keywords

domestic violencepolice-recorded crimecrime statisticsdata analysis

Information

Type
Sources and Methods in Criminology and Criminal Justice Research
Information
Legal Information Management , Volume 16 , Issue 2 , June 2016 , pp. 71 - 77
Copyright
Copyright © The Author(s) 2016. Published by British and Irish Association of Law Librarians 

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References

Berk, R. (2013) Algorithmic criminology. Security Informatics 2: 5. Available at: http://www.security-informatics.com/content/2/1/5CrossRefGoogle Scholar
Brantingham, P. and Brantingham, P. (1984) Patterns in Crime. New York: Macmillan.Google Scholar
Brimicombe, A.J. (2012) Did GIS start a crime wave? SatNav theft and its implications for geo-information engineering. The Professional Geographer 64: 430–445.CrossRefGoogle Scholar
Brimicombe, A.J. and Cafe, R. (2012) Beware win or lose: domestic violence and the World Cup. Significance 9(5): 32–35. Available at: http://onlinelibrary.wiley.com/doi/10.1111/j.1740-9713.2012.00606.x/pdf.CrossRefGoogle Scholar
Brimicombe, A.J. (forthcoming) Mining police recorded offences and incidents data to inform a definition of repeat victimisation of domestic abuse for statistical purposes. Policing.Google Scholar
Brimicombe, A.J., Brimicombe, L.C. and Li, Y. (2007) Improving geocoding rates in preparation for crime data analysis. International Journal of Police Science & Management 9: 80–92.Google Scholar
CPA (2012) Mobile Technology in Policing. London: House of Commons Committee of Public Accounts. Available at: http://www.parliament.uk/documents/TSO-PDF/committee-reports/129.pdf.Google Scholar
Harries, K. (1999) Mapping Crime, Principles and Practice. Washington DC: National Institute of Justice. Available at: https://www.ncjrs.gov/pdffiles1/nij/178919.pdf.Google Scholar
HMIC (2014a) Everyone's business: Improving the police response to domestic abuse. London: Her Majesty's Inspectorate of Constabulary. Available at: https://www.justiceinspectorates.gov.uk/hmic/wp-content/uploads/2014/04/improving-the-police-response-to-domestic-abuse.pdf.Google Scholar
HMIC (2014b) Crime recording: Making the victim count. London: Her Majesty's Inspectorate of Constabulary. Available at: https://www.justiceinspectorates.gov.uk/hmic/wp-content/uploads/crime-recording-making-the-victim-count.pdf.Google Scholar
ONS (2015) High frequency repeat victimisation in the Crime Survey for England and Wales. Newport: Office of National Statistics. Available at: http://www.ons.gov.uk/ons/guide-method/method-quality/specific/crime-statistics-methodology/methodological-notes/high-frequency-repeat-victimisation.pdf.Google Scholar
PASC (2011) Government and IT- “a recipe for rip offs”: time for a new approach. London: House of Commons Public Administration Select Committee. Available at: http://www.publications.parliament.uk/pa/cm201012/cmselect/cmpubadm/715/715i.pdf.Google Scholar
PASC (2014) Caught red-handed: why we can't count on police recorded crime statistics. London: House of Commons Public Administration Select Committee. Available at: http://www.publications.parliament.uk/pa/cm201314/cmselect/cmpubadm/760/760.pdf.Google Scholar
Pease, K. and Tseloni, A. (2014) Using Modelling to Predict and Prevent Victimization. New York: Springer.CrossRefGoogle Scholar
Ratcliffe, J.H. (2002) Aoristic signatures and the temporal analysis of high volume crime patterns. Journal of Quantitative Criminology 18: 23–43.CrossRefGoogle Scholar
Stanko, B. and Dawson, P. (2012) Reflections on the offending histories of those arrested during the disorder. Policing 7: 3–11.CrossRefGoogle Scholar