State Court Statistics, 2006 (ICPSR 30523)
Principal Investigator(s): National Center for State Courts
This data collection provides comparable measures of state appellate and trial court caseloads by type of case for the 50 states, the District of Columbia, and Puerto Rico. Court caseloads are tabulated according to generic reporting categories developed by the Court Statistics Project (CSP) Committee of the Conference of State Court Administrators. These categories describe differences in the unit of count and the point of count when compiling each court's caseload. Major areas of investigation include (1) case filings in state appellate and trial courts, (2) case processing and dispositions in state appellate and trial courts, and (3) appellate opinions. Within each of these areas of state government investigation, cases are separated by main case type, including civil cases, capital punishment cases, other criminal cases, domestic relations cases, juvenile cases, traffic violations cases, and administrative agency appeals.
Series: State Court Statistics Series
These data are freely available.
National Center for State Courts. State Court Statistics, 2006. ICPSR30523-v1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2012-05-22. http://doi.org/10.3886/ICPSR30523.v1
Persistent URL: http://doi.org/10.3886/ICPSR30523.v1
This study was funded by:
- State Justice Institute
- United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics
Scope of Study
Subject Terms: appellate courts, case processing, caseloads, court cases, disposition (legal), legal appeals, state courts, statistical data, trial courts
Geographic Coverage: United States
Date of Collection:
Unit of Observation: court
Universe: State appellate and trial court cases in the United States.
Data Types: aggregate data
Data Collection Notes:
For additional information please see the Court Statistics Project Web site.
Information for the CSP's national caseload databases comes from published and unpublished sources supplied by state court administrators and appellate court clerks. Published data are typically taken from official state court annual reports and Web sites, so they take many forms and vary greatly in detail. Data from published sources are often supplemented by unpublished data received from the state courts in many formats, including internal management memoranda and computer-generated output. States also report and verify data electronically through spreadsheet templates provided by the Court Statistics Project.
The CSP data collection effort to build a comprehensive statistical profile of the work of state appellate and trial courts nationally is underway throughout the year. Extensive telephone contacts and follow-up correspondence are used to collect missing data, confirm the accuracy of available data, and determine the legal jurisdiction of each court. Information is also collected on the number of judges per court or court system (from annual reports, offices of state court administrators, and appellate court clerks), the state populations (based on United States Bureau of the Census revised estimates), and special characteristics regarding subject matter jurisdiction and court structure.
Published annual reports of administrative court offices and unpublished statistics provided by state administrative offices of the court and clerks of state appellate courts.
Extent of Processing: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:
- Performed consistency checks.
- Checked for undocumented or out-of-range codes.
Original ICPSR Release: 2012-05-22
Related Publications (?)
- Citations exports are provided above.
Export Study-level metadata (does not include variable-level metadata)