Regional Training on Crime Statistics from a Gender Perspective
3 - 6 September 2024, Chiba, Japan
Concept NoteI. BackgroundIn 2022, nearly 18,600 women and girls were killed by their intimate partner or other family
members in Asia and the Pacific, implying more than 50 were killed every day1. The figure highlights
the most extreme manifestation of Gender-based Violence (GBV), which requires the systematiccollection, analysis, and dissemination of high-quality and timely data to design effective responses,
such as crime prevention policies.
The Sustainable Development Goals (SDGs) facilitate the collection of such data through the targetsof SDG 5 (gender equality) and SDG 16 (peace, justice and strong institutions). Achieving the crimegender related SDG targets would significantly contribute towards mainstreaming a gender
perspective into crime prevention policies and criminal justice responses to address all forms ofGBV.
While SDG data availability has improved across the region since 2017, data gaps continue to beprominent because of limited technical capacity to collect, analyze or disseminate data; lack ofprioritization, resources, and investment; and limited interagency cooperation.
To further strengthen the capacity of countries in the region to produce crime statistics
disaggregated by sex for SDG monitoring and decision-making, an in-person regional training is
proposed for 3 - 6 September 2024 in Chiba, Japan. This regional training will be based on thesuccess of the two previous online courses on Crime Statistics from a Gender Perspective (CSGP)
jointly conducted in 2020 and 2022 by United Nations Office on Drugs and Crime (UNODC), throughthe UNODC-KOSTAT Centre of Excellence for Statistics on Crime and Criminal Justice in Asia and thePacific (UNODC-KOSTAT CoE), and United Nations Statistical Institute of Asia and the Pacific (SIAP),to address crime and gender data needs for SDG 5 and SDG 16.
This in-person regional training is jointly organized by SIAP, UNODC-KOSTAT CoE and United
Nations Entity for Gender Equality and the Empowerment of Women (UN Women) Centre ofExcellence for Gender Equality (UN Women CoE).

II. Overview of the Course
This regional training introduces crime statistics from a gender perspective to produce reliableindicators to monitor the relevant SDGs (SDGs 5 and 16). The training provides an opportunity for
1

UNODC & UN Women (2023), Gender-related Killings of Women and Girls (Femicide/Feminicide) - Global
estimates of female intimate partner/family-related homicides in 2022.

participants to learn about gender concepts and frameworks on SDG indicators relevant to crimeand criminal justice statistics including gender-based SDG targets, with the overall aim ofstrengthening regional capacity in producing high-quality SDG indicator data and overall statistics,
to inform policy decisions at national and international levels.
III. Objectives● Enhance awareness of the importance of incorporating a gender perspective in collecting,producing, analysing, and disseminating crime statistics.
● Provide applicable tools and frameworks to improve the production, collection, analysis, anddissemination of crime data from a gender perspective.
● Examine the opportunities and challenges of working with various types of data sources.
● Provide insight into the relationship between data, crime, and gender at national, regional, andinternational levels.
● Understand the recent global initiatives and statistical frameworks aimed at measuring
technology-facilitated violence against women (TFVAW) and the gender-related killing ofwomen and girls.
● Build capacity to produce gender and crime-related SDG indicators using microdata.
IV. Expected outputs● Raised awareness and prioritization for the development and use of crime statistics with agender perspective in the participating countries.
● Raised priority in participating countries to promote gender equality.
● Enhanced technical capacity of participating countries to produce, use and disseminate crime
statistics with a gender perspective.
● Increased availability of accurate, accessible and reliable indicators needed to monitor SDG
targets in the areas of crime, violence, trafficking, access to justice and the rule of law, inrelation to gender issues● Enhanced capacity to compute crime and gender-related SDG indicators.
V. Participants
The training is designed for personnel working in the field of crime and criminal justice statistics,
whose main responsibilities include the collection, production, analysis or dissemination of crimerelated statistics and indicators. The course is also open to policy and decision makers who arelooking to understand the concepts and methodological details behind crime-gender related SDG
indicators and to interpret them accurately for evidence-based decision making.
The training will target participants from the following ESCAP member states and an associate
member: Hong Kong, China Special Administrative Region, Indonesia, Japan, Malaysia, Mongolia,Pakistan, Philippines, Republic of Korea, Singapore, Thailand, Türkiye, Uzbekistan.
VI. Training Design and Contents
The training will consist of a mix of theory and discussion sessions and hands-on and practical
exercises. The training will allow participants time to interact with the training materials andfacilitators and with their peers from other countries, as well as opportunities for sharing goodpractices. Although some sessions are at introductory level, other modules cover more advanced
statistical analysis that would be applicable to participants who are engaged in data production ormore experienced data analysts. R will be the software used for analysis during the training. Thus,
participants (data producers) are requested to bring their own computers to perform such analysis,
with the R and R-Studio software package installed in advance and a recent household survey
dataset to use for the R sessions.
The training is expected to cover the following topics:● Basic concepts of gender and crime● Data sources to visualize gender issues● The value of a coordinated statistical system● The relevance of mainstreaming a gender perspective in crime and criminal justice statistics● How to establish a coordinated statistical system of crime and criminal justice integrating agender perspective● Understand various criminal acts from a gender perspective with specific reference to SDG
indicators● Challenges faced by different genders at different stages of the Criminal Justice System● Microdata analysis of household surveys to calculate SDG indicators (SDG 5.3.1, SDG 11.7.2,SDG 16.1.3)● Concepts and definitions of variables in the source databases to calculate the indicators of the2030 Agenda, other related indicators, disaggregated by socioeconomic and geographicalvariables of interest● The management of the different sources and analysis of data
● Different approaches to collecting data on TFVAW● Standardized statistical approach to define and produce relevant metrics on such killings ofwomen and girls● Good practices in communicating crime data and how to use data for effective policy making
VII. Training requirements
This training will feature practical sessions using R statistical software. Nominees for this training
will be required to: (i) participate in pre-training in R (through online tutorial) to ensure they are
well oriented for the training; (ii) bring their own laptop fitted with R and R Studio software
installed on their laptops. Successful completion of the online/ pre-training component is arequisite for face-to-face training.