INTERNATIONAL CLASSIFICATION OF CRIME FOR …
Statistical Commission Forty-sixth session 3 ? 6 March 2015 Item 3(c) of the provisional agenda Crime statistics
Background document Available in English only
INTERNATIONAL CLASSIFICATION OF CRIME FOR STATISTICAL PURPOSES (ICCS)
VERSION 1.0
February 2015 Prepared by United Nations Office on Drugs and Crime (UNODC)
Rape
Burglary
KidPniaArpsapsicanygult
February 2015
Fraud
TeHrirjoarciskming
Corrupt 02 Homicide Trafficking in wildlife
ion03008006714 Child pornography
05 Deprivation of
Forced
liberty
labouThreft
IlSlimcituegngrliicnhgmoefnmt igrants
09
Sexual exploitation
RoTbrbaerfyficking in persons
INTERNATIONAL CLASSIFICATION OF CRIME FOR STATISTICAL PURPOSES (ICCS)
VERSION 1.0
Copyright ? 2015, United Nations Office on Drugs and Crime
Acknowledgments
The development of the International Classification of Crime for Statistical Purposes was coordinated by the UNODC Research and Trend Analysis Branch (RAB), Division of Policy Analysis and Public Affairs (DPA), under the supervision of Jean-Luc Lemahieu, Director of DPA, Angela Me, Chief of RAB, and Chlo? Carpentier, Chief of RAB Statistics and Surveys Section.
Core team Research coordination and report preparation Enrico Bisogno Michael Jandl Lucia Motolinia Carballo Felix Reiterer Atsuki Takahashi
Graphic design and layout: Suzanne Kunnen Kristina Kuttnig
Editing: Jonathan Gibbons
The International Classification of Crime for Statistical Purposes (ICCS) was developed using the "Principles and framework for an international classification of crimes for statistical purposes" produced by the UNECE-UNODC Joint Task Force on Crime Classification and endorsed by the Conference of European Statisticians in 2012. The ICCS was produced on the basis of the plan to finalize by 2015 an international classification of crime for statistical purposes, as approved by the Statistical Commission in its decision 44/110 and by the Economic and Social Council in its resolution 2013/37.
Gratitude is expressed to all Member States, international organizations and individual experts who contributed to the development of the ICCS. The continuous support of the UNODC-INEGI Center of Excellence on Statistics on Governance, Public Safety, Victimization and Justice is gratefully acknowledged, as is the contribution of Steven Malby who developed the initial concept of the classification. UNODC would also like to thank the United Nations Statistics Division and the members of its Expert Group on International Statistical Classifications for their valuable comments and contributions during the peer-review process.
This publication may be reproduced in whole or in part and in any form for educational or non-profit purposes without special permission from the copyright holder, provided acknowledgement of the source is made.
Suggested citation: UNODC, International Classification of Crime for Statistical Purposes, Version 1.0
Comments on the report are welcome and can be sent to: Statistics and Surveys Section Research and Trend Analysis Branch Division for Policy Analysis and Public Affairs United Nations Office on Drugs and Crime P.O. Box 500 1400 Vienna Austria E-mail: iccs@ Tel.: (+43) 1 26060 0
Disclaimer
The content of this publication does not necessarily reflect the views or policies of UNODC, Member States or contributory organizations, nor does it imply any endorsement.
This document has not been formally edited. The designations employed and the presentation of material in this publication do not imply the expression of any opinion whatsoever on the part of the Secretariat of the United Nations concerning the legal status of any country, territory, city or area, or of its authorities, or concerning the delimitation of its frontiers or boundaries.
? United Nations, February 2015. All rights reserved, worldwide.
Information on uniform resource locators and links to Internet sites contained in the present publication are provided for the convenience of the reader and are correct at the time of issue. The United Nations takes no responsibility for the continued accuracy of that information or for the content of any external website.
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