New Jersey Child Welfare Data Hub
The New Jersey Child Welfare Data Hub seeks to improve the lives of children and families by disseminating New Jersey child welfare data.
The New Jersey Child Welfare Data Hub was developed collaboratively by the New Jersey Department of Children and Families and the Institute for Families at the Rutgers University School of Social Work. Built upon the principles of transparency and accountability, the Data Hub seeks to improve the lives of children and families by making New Jersey child welfare data available to the public.
We hope insight gained from this data sparks innovation, improves the public's interaction with and understanding of New Jersey's child welfare system, enlightens policymaking, and advances advocacy for children and families.
The site has two main tools for data visualization:
The Data Map is the first of several child welfare data visualization and query tools planned for the site. Our goal is to better understand how children and families interact with New Jersey's child welfare system. The Data Map allows users to explore key child welfare measures, population characteristics, and socioeconomic variables at the state- and county-level. The Data Map provides social and economic context, helping users explore the complex interaction between social environments and the children and families involved with New Jersey's child welfare system.
The Data Portal allows users to create queries within even more performance and demographic categories, such as age, sex, race, and ethnicity, and filter their selections to generate customized visualizations.The New Jersey Child Welfare Data Portal, developed collaboratively between the New Jersey Department of Children and Families and the Institute for Families, allows users to retrieve child welfare data in a new way. Beginning with 5 reports, the Data Portal allows users to explore key indicators of child well-being through customizable visualization and query tools. After selecting a measure, users can select variables to gain further insight into the report. In addition, users can selectively filter the variables, retrieving data in exactly the way they need.