FIND Disability Statistics
American Community Survey (ACS)
- Employment Rate
- Not Working but Actively Looking for Work
- Full-Time / Full-Year Employment
- Annual Earnings
- Annual Household Income
- Supplemental Security Income (SSI)
- Educational Attainment
- Veterans Service-Connected Disability
- Health Insurance Coverage (and Type)
Current Population Survey (CPS)
EEOC Charge Data
Rehabilitation Dataset Directory: Dataset Profile
Dataset: Case Service Report (RSA-911) (RSA-911)
|Dataset Full Name||Case Service Report (RSA-911)|
The Rehabilitation Services Administration's Case Service Report (RSA-911) is the administrative data collected by each state Vocational Rehabilitation (VR) agency on consumers closed in a fiscal year. RSA-911 data include information regarding demographics, disability, service interventions, reason for case closure, sources of financial support, and employment status at closure. Some limited work-related information (e.g., income and hours worked per week) is reported during the application for services and at service closure. The data can be partitioned into three periods by data collection method: (1) before 2013, (2) 2014-June 2017, and (3) from July 2017 onward.
Major changes beginning July 2017: both open and closed cases will be reported and collected on a quarterly basis. In addition, there will be many new variables according to the amended Rehabilitation Act of 1973 in 2014, such as pre-employment transition services, new WIOA performance accountability measures (e.g., employment status during the fourth quarter after exit quarter), and more.
Vocational Rehabilitation (VR), Rehabilitation Services Administration (RSA), Training, Employment services
|Sponsoring Agency/Entity||Department of Education (DOE): Office of Special Education and Rehabilitation Services: Rehabilitation Services Administration (RSA)||Health Conditions/Disability Measures|
ADD/ADHD, Allergies, Anxiety disorders, Autism spectrum disorders, Blood disorder, Body mass index (BMI)/obesity, Cancer, Cardiovascular conditions, Cerebral palsy, Congenital conditions, Depression, Diabetes, Epilepsy or seizure disorder, Infectious diseases, Kidney/renal condition, Missing limbs/hand/finger/feet, Multiple sclerosis, Muscular dystrophy, Neurological conditions, Orthopedic conditions, Parkinson's disease, Pulmonary disorders, Schizophrenia, Spinal cord injury (SCI), Stroke, Traumatic brain injury (TBI)
|Disability Measures||Ambulatory disability, Cognitive disability, Communication impairment, Developmental disabilities, Hearing disability, Intellectual disability, Mental health disability, Physical disability, Special equipment use/assistive technology, Visual disability||Measures/Outcomes of Interest|
|Topics||VR services provided, Type of closure, Employment, Occupation, Competitive employment, Earnings, Public support (SSI, SSDI, TANF), Medical insurance coverage||Sample|
|Sample Population||All closed state VR cases|
|Sample Size/Notes||543,163 closed VR cases (2016)|
|Unit of Observation||Individual|
|Geographic Coverage||50 U.S. states, District of Columbia, and 5 territories (American Samoa, Guam, Northern Marianas Islands, Puerto Rico, and Virgin Islands)|
|Geographic Specificity||County name and zip code at application (2014 onward)||Data Collection|
|Data Collection Mode||Administrative records|
|Data Collection Frequency||Annual (Quarterly, beginning in July 2017)||Strengths and Limitations|
|Strengths||Large sample size - includes every VR consumer with a closed record within a fiscal year. Includes data for all 50 states, DC and 5 territories. Relatively detailed primary and secondary disability types, education and employment information as well as services received and the related costs. Includes closure code for all possible outcomes for an applicant for VR service provision. Changes in data collection beginning in 2014 significantly increased the number of details provided.|
|Limitations||Only includes closed cases served by state VR (will include active cases starting in 2017). Individuals may have several case closures within a single fiscal year resulting in multiple cases per client. Closures may occur the same year as application or several years afterwards. Eligibility may vary between states especially those under "order of selection." Some changes have occurred over time in RSA coding schemes. Major changes have occurred over time, most recently in 2014 in content, variables, coding schemes and data formatting.||Data Details|
Please contact the Data Unit at RSAData@ed.gov for information about obtaining the RSA-911 dataset.
|Data Access Requirements||Data Use agreement, No Cost|
WIOA Annual Reports (annual statewide performance report, includes information on levels of performance achieved with respect to the primary indicators of performance outlined in section 116.)
|Data Components||NA||Selected Papers|
Dutta, A. Gervey, R., Chan, F. Chou, CC. (2008) Vocational rehabilitation services and employment outcomes for people with disabilities: a United States study. Journal of Occupational Rehabilitation 18 pp 326-334.:
Reporting Manual for the Case Service Report (RSA-911) - data elements and codes (October 2013):
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The Rehabilitation Research Cross-dataset Variable Catalog has been developed through the Center for Large Data Research & Data Sharing in Rehabilitation (CLDR). The Center for Large Data Research and Data Sharing in Rehabilitation involves a consortium of investigators from the University of Texas Medical Branch, Cornell University's Yang Tan Institute (YTI), and the University of Michigan. The CLDR is funded by NIH - National Institute of Child Health and Human Development, through the National Center for Medical Rehabilitation Research, the National Institute for Neurological Disorders and Stroke, and the National Institute of Biomedical Imaging and Bioengineering. (P2CHD065702).
Other CLDR supported resources and collaborative opportunities:
- Archive of Data on Disability to Enable Policy and research (ADDEP)
- Data Sharing & Archiving at CLDR
- Pilot Project Program
- Visiting Scholars Program
Acknowledgements: This tool was developed through the efforts of William Erickson and Arun Karpur, and web designers Jason Criss and Jeff Trondsen at Cornell University. Many thanks to graduate students Kyoung Jo Oh and Yeong Joon Yoon who developed much of the content used in this tool.
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