Tag Archives: data

Finding and Using Data for Advocacy guide now available

Cover of Finding and Using Data for Advocacy How-To GuideWe are pleased to share our newly revised Finding and Using Data for Advocacy How-To Guide. Part of RTC:Rural’s new Advocacy Skill Building Toolkit, Finding and Using Data for Advocacy is a resource that can be used to supplement an advocacy skill building workshop, or as a stand-alone resource for anyone who would like to use data to support their advocacy goals.

Finding and Using Data for Advocacy explains what data is and how it is used to support advocacy, and provides links to public data sets related to disability, including RTC:Rural’s Disability Counts Data Finder, the Community & Work Disparities (ADA-PARC) website, and Disability Statistics, among others. The guide also includes prompts to guide users in determining what type of data would be most helpful for their advocacy and how to incorporate that data into their personal testimony.

Other How-To Guides featured in the Toolkit include Writing Effective Letters to Decision Makers and Creating Your Personal Testimony to Influence Policy Change, both of which are available for download on the Advocacy Skill Building Toolkit website.

The How-To Guides were developed and updated from previous products developed by the Research and Training Center on Independent Living at the University of Kansas, and are influenced by RTC:Rural’s successful Living Well with a Disability program.

RTC:Rural presents geography research on disability and employment rates at AAG meeting

Conference presentation showing speakers and slide behind with map of the USA

RTC:Rural Researcher Andrew Myers presenting at the American Association of Geographers 2017 annual meeting in Boston, MA. Photo Credit: Sandy Wong.

RTC:Rural’s presentation at the 2017 American Association of Geographers annual meeting generated enthusiastic conversation about the values and challenges of using big data to address rural issues.  Andrew Myers, Research Associate at RTC: Rural, recently returned from this conference, held in Boston, MA. There, he presented RTC:Rural research on current disability patterns in rural America with a focus on employment rates. His presentation, titled “Current Disability Patterns in Rural America,” was part of the Geographies of Disability 1: Mapping and Accessibility session. Coauthors include RTC:Rural Research Associate Lillie Greiman and University of Montana graduate student Kourtney Johnson.

The AAG’s Disability Specialty Group brought international researchers together to share the latest geographical research about disability. Myers is a board member of the AAG Disability Specialty Group, and helped organize the “Geographies of Disability” track at the conference.

Using data from the American Community Survey, Myers, Greiman, and Johnson found that the national disability rate in the United States is 12.5%. When they looked at the county level, they found that disability rates were higher in rural counties, at 17.7%, than in urban ones, with rates of only 11.8%.

Overall, employment rates for people with disabilities are lower in rural areas, which follows the national trend of lower employment rates in rural areas. However, said Myers, “It would be misleading to say that rates of employment [for people with disabilities] always go down as you get more rural. In fact, in some rural communities employment rates of people with disabilities are higher than the national average of 33%.”

Myers, Greiman, and Johnson have a number of hypotheses they are investigating, and are currently writing up their findings for publication. Continue reading

RTC:Rural study finds longstanding interpretation of disability data incomplete

Researchers with RTC:Rural have shown that the standardized disability questions used by the U.S. Department of Health and Human Services identify two distinct groups of people with disabilities: those with permanent disability and those with temporary disability. Their findings were published today in the American Journal of Public Health: click here to read the full journal article.

Man with cane walking in front of farm

Researchers at RTC:Rural have shown that the standardized disability questions used by the U.S. Department of Health and Human Services identify two distinct groups of people with disabilities: those with permanent disability and those with temporary disability.

The findings contradict the long-standing assumption by researchers and policymakers who use HHS disability data that it represents only people with long-term disabilities. The RTC:Rural study clarifies the survey collects information from two important subgroups: those with permanent disability, and those experiencing a temporary disability at the time of the survey.

The title of the paper is “Disability Items from the Current Population Survey (2008-2015) and Permanent Versus Temporary Disability Status.” Coauthors on the study include Bryce Ward, associate director of the Bureau of Business and Economic Research at UM; RTC:Rural research associates Andrew Myers and Jennifer Wong; and Craig Ravesloot, RTC:Rural director.

“Our findings suggest that the current understanding of the entire population of people with disabilities based on HHS data is incomplete, because we have not yet accurately described the characteristics and status of these two subgroups,” said Ravesloot. “This can potentially have huge implications in public health policies.”

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New tool available to access disability data

Finding big data about rural America is challenging. Finding big data about disability in rural America can seem impossible. Meanwhile, access to current information about disability in rural areas is important as these areas consistently experience higher disability rates than their urban counterparts.

Disability Counts logoThe Research and Training Center on Disability in Rural Communities (RTC:Rural) recently re-launched the Disability Counts Data Finder, an online tool that allows users to easily access disability data for every county in the United States and Puerto Rico. Using a simple interface, users select their state and counties of interest, and generate a table with population estimates, disability rates, margins of error, and rural/urban classifications.

Disability Counts uses the most recent 5-year American Community Survey data and the 2015 Office of Management and Budget Metropolitan-Micropolitan Statistical Areas delineation files. These datasets were specifically chosen so that Disability Counts could provide insight into the county’s rural status alongside the disability rate, clearly showing the correlation between disability rates and rural areas. We have found that this information is particularly sought after by advocates and policymakers.

Map of disability rates by county

Disability rates by county across the United States – rural counties consistently show higher disability rates than their urban counterparts.

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