DOWNLOAD Disability
Status Reports

Home  /   Data Sources  /   Rehabilitation Dataset Directory: Search  /   Dataset Profile Center for Large Data Research & Data Sharing in Rehabilitation

Rehabilitation Dataset Directory: Dataset Profile

Dataset: 2014 Survey of Income and Program Participation (SIPP) SSA Supplement (SIPP SSA Supplement)

Basic Information
Dataset Full Name 2014 Survey of Income and Program Participation (SIPP) SSA Supplement
Dataset Acronym SIPP SSA Supplement
Summary

The Social Security Administration (SSA) utilizes data from the Survey of Incomeand Program Participation (SIPP) for various program purposes. However, SSA determined that the redesigned 2014 SIPP did not contain the information needed to support ongoing SSA programs. To address this lack of data, SSA funded a separate "follow-on" supplement survey of the 2014 SIPP respondents. Topics included in the Supplement primarily focus on the economic and social situation of people with disabilities and people in, or approaching, retirement. The supplement uses questions selected from previous SIPP panel topical modules regarding functional limitations and disability for adults and children, work disability, conditions causing the limitations, as well as income, retirement expectations, pensions, retirement accounts, and marital history. 

The U.S. Census Bureau conducted the Social Security Administration Supplement (SSA Supplement) on behalf of the SSA. The sample consists of households that completed 2014 Wave 1 SIPP interviews. Data users can merge the 2014 SIPP data with the SSA Supplement data to examine the economic and social situation of older or disabled Americans.

Key Terms

SSA, Health status, Economic situation, Social situation, SIPP supplement, SIPP redesign

Study Design Cross-Sectional
Data Type(s) Survey
Sponsoring Agency/Entity

Social Security Administration (SSA) & U.S. Census Bureau

Health Conditions/Disability Measures
Health Condition(s)

ADD/ADHD, Alzheimer's/dementia, Arthritis, Autism spectrum disorders, Cancer, Cardiovascular conditions, Cerebral palsy, Depression, Diabetes, Epilepsy or seizure disorder, Head or Spinal cord injury (SCI), Kidney/renal condition, Missing limbs/hand/finger/feet, Pulmonary disorders, Stroke, Thyroid disease, Traumatic brain injury (TBI) 

Disability Measures

Ambulatory disability, Cognitive disability, Communication impairment, Developmental disabilities, Functional limitations (ADLs and/or IADLs), Hearing disability, Independent living disability, Intellectual disability,Mental health disability, Physical disability, Self-care disability, Special equipment use/assistive technology, Visual disability, Work limitation

Measures/Outcomes of Interest
Topics

SSA Supplement content:

Employment, Personal retirement accounts, Pensions, Marital history, Health status, Work disability, Adult disability, Child disability, Conditions causing disability, Age of disability onset 

Sample
Sample Population

Households (limited to persons that completed the Wave 1 SIPP interview)

Sample Size/Notes

15,497 participating households  (out of 29,502 eligible households in 2014 SIPP)

Unit of Observation

Individual

Continent(s) North America
Countries

United States

Geographic Coverage

National

Geographic Specificity

State

Data Collection
Data Collection Mode

CATI (Computer Assisted Telephone Interviews)

Years Collected

2014

Data Collection Frequency

One time supplement to the 2014 SIPP

Strengths and Limitations
Strengths

Data comparable to 2008 SIPP topical modules.

Contains information regarding disabilities that affect activities for adults (18+), Children (0-17), and employment, age of onset, condition(s) causing the limitation, and need for assistance related to performing ADL/IADLs.


To access additional household and person level information the SSA supplement can be linked with the 2014 Survey of Income and Program Participation (SIPP)

Limitations

The Supplement suffered from a low response rate (52.2%). The data must be merged with the 2014 SIPP to access the additional household and individual level data collected in the SIPP survey.

Data Details
Primary Website

https://www.census.gov/programs-surveys/sipp/about/SSA-Supplement.html

Data Access

https://www.census.gov/programs-surveys/sipp/data/datasets/2014-panel/ssa.html

Data Access Requirements

Public Use Dataset

Summary Tables/Reports

Americans With Disabilities: 2014, Household Economic Studies, Current Population Reports (November 2018)

https://www.census.gov/content/dam/Census/library/publications/2018/demo/p70-152.pdf

Data Components
Similar/Related Dataset(s)

Survey of Income and Program Participation (SIPP)

Selected Papers
Other Papers

Other Publications:

https://www.census.gov/programs-surveys/sipp/library/publications/sipp-pubs-auto.html

Technical

All technical documentation:

https://www.census.gov/programs-surveys/sipp/data/datasets/2014-panel/ssa.html


User's Guide:

https://www.census.gov/content/dam/Census/programs-surveys/sipp/methodology/SSA%20Supplement%20Users%20Guide.pdf


2014 Panel Complete Technical Documentation

Related Repositories
Repositories

Ask Our Researchers

Have a question about disability data or datasets?
E-mail your question to our researchers at disabilitystatistics@cornell.edu


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:

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.

For questions or comments please contact disabilitystatistics@cornell.edu