Gender

This e-learning course introduces crime statistics from a gender perspective to produce reliable indicators to monitor the relevant Sustainable Development Goals (SDGs). The course offers participants an opportunity to explore gender concepts and frameworks on SDG indicators relevant to crime and criminal justice statistics including gender-based SDG targets, with the overall aim of strengthening regional capacity in producing high-quality SDG indicator data and overall statistics, to inform policy decisions at national and international levels. 

Gender equality is a fundamental principle embedded within the framework of the Sustainable Development Goals (SDGs). It is not only a standalone goal (SDG 5: Achieve gender equality and empower all women and girls) but also a crosscutting topic that influences the achievement of the goals of the 2030 development agenda.

Within the framework of the Sustainable Development Goals (SDGs), gender equality is not only a standalone goal but also one of the crosscutting universal values that underpin the SDGs and a necessary precondition for achieving the goals of the 2030 development agenda. Good quality, timely, comparable, and disaggregated gender data provide the evidence needed to measure progress towards achieving the gender-related SDG goals and targets.

The Sub-Group on Gender Statistics Training (SGGST) was established in 2018 to support national statistics offices in the Asia-Pacific region to develop statistical capacities to effectively produce and use gender statistics for gender policy decisions, advocacy, and tracking progress of the sustainable development goals. The SGGST comprises representatives from national statistics offices, national statistical training institutes, academia, the media, and civil society. 

Within the framework of the Sustainable Development Goals (SDGs), gender equality is not only a standalone goal but also one of the crosscutting universal values that underpins the SDGs, and a necessary precondition for achieving the goals of the 2030 development agenda. Good quality, timely, comparable, and disaggregated gender data provide the evidence needed to measure progress towards achieving the gender-related SDG goals and targets.

The demand for timely and high-quality crime statistics are on the rise to meet the challenges of monitoring the crime and criminal justice-related Sustainable Development Goals (SDG) indicators. This course introduces the crime statistics in relation to gender perspective to produce reliable and sufficient indicators to monitor relevant SDG.

The course will provide the opportunity for participants to learn concepts and frameworks on statistics and indicators related to SDG 5, with the overall aim to strengthen capacity to produce a set of statistics, including indicators, to inform gender policy decisions at the national and international levels.

The objective of this training is to raise awareness and build technical capacity of national experts in Asia and the Pacific in terms of the importance and uses of sex-disaggregated statistics in agriculture, and for compilation, use and reporting of SDG indicators 5.a.1 and 5.a.2. The three main expected outputs of the regional training workshop are: 

• Promote the integration of a gender perspective into national statistical systems with the aim of improving the availability and quality of gender statistics; 
• Introduce the Sustainable Development Goals (SDGs) Indicators and provide advice on how national statisticians can collect data for and compile “gender” relevant SDGs indicators, within specific regional and national contexts;