The Bureau of Justice Statistics (BJS) is in the process of redesigning the National Crime Victimization Survey (NCVS) to improve its methodology, assure its sustainability, increase its value to national and local stakeholders, and better meet the challenges of measuring the extent, characteristics, and consequences of criminal victimization. Part of this effort has been the development and testing of methods for producing subnational estimates from the NCVS data. BJS is investigating whether estimates of certain types of crime can be made from the 1993-2012 NCVS for the 11 most populous states in the country (in decreasing order of population, these are: California, Texas, New York, Florida, Illinois, Pennsylvania, Ohio, Michigan, Georgia, North Carolina, and New Jersey). In addition, in July 2013, BJS boosted the NCVS sample in each of these states to test the feasibility of producing state-level estimates of violent and property crime. Further, BJS has created model-based estimates for all 50 states and DC for various property and violent crime types.
JRSA is working with BJS to develop state-specific information that will supplement the state data eventually released from the NCVS. JRSA is reviewing national and state data sources to identify data that relate to specific topic areas for the 11 largest states, and compiling those data into spreadsheets that can be appended to the NCVS data that BJS releases. For example, we have compiled the number of domestic-related homicides in New York City and the rest of New York State for the period 2002-2011 (New York was selected at random to serve as a prototype in developing the spreadsheets). We are beginning with intimate partner violence (IPV), one of the topic areas identified by BJS, because JRSA has been compiling data sources related to IPV through its Domestic Violence, Sexual Assault, and Stalking Data Resource Center project. For more information on JRSA's NCVS Subnational Estimates Product Support project, contact Research Director Stan Orchowsky at email@example.com.