3 in 4 of the people killed in gender violence are women. A majority were killed by their intimate partners.
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3 in 4 of the perpetrators were male. Most of their victims were intimate partners or children, and a significant number of them committed suicide after the crime.
Gender-related killings peaked in April.
Murder at Home is the only comprehensive publicly accessible database of deaths resulting from gender violence in Kenya. The project, by Nation Newsplex, collects information from the media, police and court reports documenting the details of persons killed in gender-related violence, including name, age, and relationship with killer, nature of death and where the killing took place.
Explore the database here.
Death occasioned by an intimate partner, death of a child or a relative resulting from a disagreement between spouses/partners as well as any loss of life in which the victim is sexually violated.
The recent frequent media coverage of gender-based violence has raised awareness on a trend that needs to be addressed. However, such incidents, standing individually, lack the elements and the nuances needed to adequately understand the phenomenon for appropriate intervention. As one of a kind, the project serves as a point of reference for public discourse and policy formulation at a time when increasingly data plays a central role in decision making.Read story that explores the issue of intimate partner killing here.
This project provides a broad perspective of the problem by analysing and presenting data in a way that establishes context and depicts trend. Murder at Home presents the data and stories through a dynamic dashboard, interactive visualisations, photos and multimedia piece.
To make every life lost to gender violence count, this project aims at documenting every such killing in Kenya. Be our eye in the community by clicking the Submit tip tab to submit your information, along with video footage, photographs or other related material if available.
Also, email us at firstname.lastname@example.org to submit tip or any information that will help improve this project.
Research and data compilation: Joshua Mutisya
Story telling: Victor Oluoch and Dorothy Otieno
Data analysis: Daniel Ofula, Dorothy Otieno and Victor Oluoch
Editing: Victor Oluoch and Dorothy Otieno
Dashboard design: Daniel Ofula and Dorothy Otieno
Data visualisation and development: Daniel Ofula
Managing editor: Churchill Otieno
File photos: Nation Library
Contact: Email: email@example.com