Average Upload Speed Ookla

https://pcrdgis.agriculture.purdue.edu/arcgis/rest/services/Vulnerability Vulnerability by counties Response to COVID-19 To measure vulnerability, Purdue used the following metrics: Limited digital connectivity Percent households with no internet access or relying solely on cellular data to access the internet Percent households with no computing devices or relying solely on mobile devices to access the internet Percent population with access to no providers or access to up to 10/1 advertised speeds only Data source: 2014-2018 ACS 5 year estimates, FCC Form 477 December 2018 v1 Remote work potential Purdue identified several occupations and industries that overall engage less in working from home Occupations: calculated the share of workers employed in service, natural, construction, maintenance, production, transportation, material moving, and military specific occupations Industry: calculated the share of workers employed in construction, manufacturing, wholesale, retail, transportation and warehousing, utilities, and government, including armed forces Each variable separated into quintiles, each county ranked in these No vulnerability Roughly one-quarter (27% of counties, 849 total) have no vulnerability to implementing the virus outbreak mitigation strategies. Therefore, their students and workers may weather this virus outbreak better compared to other counties Note: these counties still had percentages of their population and workers that will struggle when implementing these containment strategies Low vulnerability Roughly one-third of counties (1,063) have low vulnerability to the outbreak since they placed in the highest quintiles in 1 or 2 of the variables analyzed. In other words, for the most part they will be able to implement the mitigation strategies Moderate vulnerability A bit over one-quarter of counties (861) placed in the moderate vulnerability category. These counties will have a harder time implementing the virus outbreak mitigation strategies since they placed in the highest quintiles in 3-4 variables analyzed High vulnerability Roughly ten percent (330) fall into the high vulnerability category. These counties will have a very hard time implementing the mitigation strategies recommended. This means their social distancing efforts will be undermined, placing their students and workers in distress during this outbreak Vulnerability by tracts Map Viewer Data for the digital divide index (DDI) was compiled by Purdue Center for Regional Development and obtained from the 5-year American Community Survey (ACS) and Ookla Speedtest® open dataset.