Using Neighborhood Life Expectancy Data to Improve Public Health
Where someone is born can predict how long they’ll live. People born in neighborhoods blocks apart can have vastly different expected health outcomes and lifespans.
This isn’t fate. Knowing where life expectancies are short is the first step to extending lives.
Data on doctors , dentists , and nurse practitioners , as well as information about ER visits , hospital beds , and federally qualified health centers from the Health Resources and Services Administration’s (HRSA) Area Health Resource File are updated to 2015-2017, depending on availability.
Broadband data from the FCC has been updated to June 2017. This includes various indicators related to wired broadband data (including number of providers , type of technology , and top speed ) and wireless broadband data, which has indicators showing areas with any wireless broadband access (including 3G, 4G, and 4G LTE service), percent of the area with wireless broadband service , number of wireless providers , number of 4G wireless providers , and areas covered by 3G and 4G service.
Medically Underserved Areas (MUAs) from the Health Resources and Services Administration (HRSA) are updated to October 2018.
Public college tuition data from the NCES is updated through the 2016-2017 school year.
Subsidized household data from HUD is updated to 2017.
Mental health treatment facilities , drug and alcohol treatment facilities , and Buprenorphine physicians from the Substance Abuse and Mental Health Services Administration (SAMHSA) are updated to 2018.
Monthly unemployment , employment , and labor force data from the BLS are updated to September 2018.
HUD Qualified Census Tracts (QCTs) and Difficult Development Areas (DDAs) are updated to 2019.