The Neighborhood Stabilization Program (NSP) is a federal program that provides assistance to state and local governments to acquire and redevelop foreclosed and abandoned properties that might otherwise become sources of blight to their communities. As a part of the program, grantees picked target areas in which to focus their efforts. The criteria for identifying target areas were very specific and many grantees turned to PolicyMap for the data to complete their applications. NSP-approved target areas for communities throughout the country are now available on PolicyMap.
This update may be of particular interest to those who work with the Community Reinvestment Act (CRA). Amendments to CRA regulations now allow favorable CRA consideration for activities supporting stabilization efforts in communities with high foreclosure levels. For more information about the CRA and the 2014 updated CRA eligibility data on PolicyMap click here. And if you would like to learn more about the new CRA guidelines with respect to NSP check out the Federal Reserve webinar here.
To date there have been three rounds of NSP funding, referred to as NSP1, NSP2 and NSP3. Now all the local NSP target areas from each allocation can be displayed on PolicyMap. The data are available under Federal Guidelines > U.S. Department of Housing and Urban Development. Find out where NSP foreclosure programs are focused in your area.
Microlending is the practice of providing small loans to low-income people to start small businesses. Grameen Bank, founded in Bangladesh in 1983, was a pioneer in microfinance, generally providing small loans to the rural poor. While the practice has become extremely popular globally, microfinance has only recently joined the arsenal of financing options for small business owners and would-be entrepreneurs in the U.S.
Microlending in the United States got an official boost in 2009, with the passage of American Recovery and Reinvestment Act. Through ARRA, the Small Business Administration received $54 million specifically for its Microloan Program, which distributes loans under $50,000. We have recently added the locations of organizations participating in the Microloan Program to PolicyMap.
The Community Reinvestment Act (CRA) was passed by Congress in 1977 to encourage banks to extend credit to low- and moderate-income Americans. The Act was a response to redlining, a common practice involving systematically denying credit or increasing the costs of banking services to communities based on income, race or other discrimination. CRA requires that financial institutions undergo periodic evaluations to determine whether they are meeting the credit needs of the communities in which they operate, including low- and moderate-income neighborhoods. Tracts are CRA eligible if they are low- or moderate-income, or if they are nonmetropolitan middle income tracts designated by the Federal Financial Institutions Examination Council (FFIEC) as distressed or underserved.
The CRA Eligibility and the Tract Median Family Income as a percent of Area Median Family Income data, both of which can found in the Federal Guidelines tab under Additional Federal Guidelines Data, have now been updated to 2014. It is also worth noting that this was the first year that the FFIEC provided distressed and underserved tracts for American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S Virgin Islands! The map below shows the CRA eligibility status for census tracts in Puerto Rico and the U.S. Virgin Islands. You can see that Puerto Rico has a number of tracts that are not CRA eligible, as well as a mix of those that are Low Income, Moderate Income, Middle Income Distressed and Middle Income Distressed and Underserved.
With a growing concern for health in the nation, people are looking at factors that may contribute to a healthy life style. You, too, can look at trends in health related behaviors! PolicyMap has added three new health indicators from the Census County Business Patterns: Fitness and Rec Centers, Fast-food Restaurants, and Liquor Stores. The data consists of the annual counts and rates per 100,000 people from 2003 to 2012.
As a whole, the US has more than 72 fast food restaurants per 100,000 people as of 2012, an 18% increase from 2003. Liquor stores and gyms increased at about 11% and 6% respectively. The data shows that the number of fast food establishments is growing at a rate three times faster than the number of gyms. Could this be contributing to our nation’s rising rates of obesity and diabetes? You may have to look more closely at these health determinants and indicators, region by region, to find out.
These indicators can help paint the picture of the overall health in the US. The map below shows the number of fitness and rec centers per 100,000 people in 2012 in the Northeast. New England has consistently higher rates than the national average. Are New Englanders going to the gym more often than the rest of the country? To what extent does this affect the health of this area? These maps can help us gain a better understanding of these trends, but cannot answer these questions in full. However, the higher concentration of gyms can be one of many factors for the low rates of obesity in the Northeast.
PolicyMap has been excited to exhibit this week at the National Association of City and County Health Officials (NACCHO) conference! Public health officials and practitioners from around the country have shown great interest in learning how PolicyMap can be a useful tool to streamline their data and mapping needs. Whether tracking health indicators over time, analyzing health risks and preparedness, or uploading patient data to better understand your clientele, PolicyMap can be a great asset for health departments and organizations. PolicyMap is also a simple way to pull much of the data needed for your Community Health Needs Assessment.
If your health department is looking for an easy and affordable way to access thousands of indicators, upload your own data, and easily share it all throughout your organization, send us an email today!
There is one class of men in this country that never is mentioned in song.
And now, since their trade is advancing, they’ll come out on top before long.
They say that our sailors have danger, and likewise our warriors bold,
But there’s none know the life of a driver, what he suffers with hardship and cold.
So begins the Newfoundland folk ballad, The Badger Drive, which describes the work of the lumber drive near the town of Badger, in Newfoundland. If you haven’t had your daily dose of Newfoundland folk music, here is the song in its entirety:
We are always excited to shine the spotlight on our subscribers, and we can’t help but shine it brightly on one of our longest standing clients, IFF, this week. IFF, one of the nation’s leading nonprofit community development financial institutions, recently completed a study for the City of St. Louis, MO, outlining changes in access to performing public schools and public school seats in St. Louis City from 2008-2013. Along with the study, IFF also worked with us here at PolicyMap to create a widget making some of its results available to policymakers and the public in an interactive way. The study and widget have been getting press in many places, from the St. Louis Post Dispatch to St. Louis Public Radio to Fox news.
Make sure to check out PolicyMap’s data on people with disabilities. The 2012 American Community Survey reveals that over 37 million Americans or about 12% of the population have one or more disabilities, amounting to one of the largest minority groups in the entire nation. You can explore several different dimensions of disability data on PolicyMap, including: Age, Employment Status, and Poverty Status. The data is available across a wide range of geographies, from Census Tract to State.
It appears that rural counties generally suffer from higher rates of disability than counties in metropolitan regions, and the South has elevated rates of disability compared to other regions of the country. Those with disabilities in rural regions are likely to have less accessibility to medical service providers, or lack abundant employment options that could accommodate their particular disability. Meanwhile, in many urban areas, it appears that disability rates are highest in areas stricken by poverty, suggesting a clear relationship between the two indicators.
The map displayed below shows the Estimated Percent of People Unemployed with a disability by County in 2012 in areas of the Midwest and Upper South. Pockets of high concentration of unemployed individuals with a disability are notable in rural regions of the Upper South, but are less pronounced in the metropolitan areas around Chicago, Atlanta, and Washington D.C.
This rich dataset could be used by policy makers in order to better target resources to those with disabilities in their local communities. Those with disabilities are at a higher risk of being unfairly marginalized in our society and economy. Hopefully, with a clearer understanding of the characteristics of those with disabilities, we can better address their needs.
Data on the population with disabilities can be found under Demographics > People With Disabilities. More detailed information concerning disability data methods and definitions can be founds here.
PolicyMap was invited to the White House Conference Center on Wednesday for GovLab’s Open Data 500 Roundtable. The gathering was to discuss the myriad challenges of accessing and using Commerce data (such as Census and BEA data), meeting with members of NYU’s GovLab, the U.S. Department of Commerce, and around twenty other nonprofits and companies. Along with our colleagues at organizations like Google Maps, MapQuest, IBM Smarter Cities, and Social Explorer, we discussed interoperability of datasets across government agencies, public/private partnerships, and feedback loops with the Department of Commerce. The Department of Commerce wanted to hear from us about how we use datasets from various government and third party data providers to complement those we get from Commerce. They also wanted ideas on how the Department can work with private companies and nonprofits like PolicyMap in order to provide the best possible service for the millions of people using Commerce data via our platforms and services. And they sought to understand how Commerce can be more responsive to our needs for voicing questions and data quality concerns.
We met with government appointees within the Department of Commerce, as well as chiefs of the U.S. Census, NOAA, the BEA and the U.S. Patent and Trademark Office. The day was filled with stimulating idea generation from brilliant minds across these agencies and companies. We came away with a very positive impression that the Commerce Department is dedicated to improving their data dissemination techniques, to working across agencies for data interoperability, and to working with the private sector to understand our requirements and our users’ needs. Secretary of Commerce’s Penny Pritzker’s remarks were particularly salient after a day of discussing how we can best work together with the Department of Commerce.
We look forward to continuing the discussion through an online forum that GovLab will be unveiling in the coming months.