Name: TEMPO_HealthMedical_PowerOutages_Impacts

Display Field: usng5km

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: <DIV STYLE="text-align:Left;font-size:12pt"><P><SPAN>This layer displays POST`s relative Health and Medical Lifeline impact rank. A relative impact score is calculated based on the approximate number of health and medical facilities without electric power, with the US National Grid System (USNG) as the unit of analysis, in a spatial resolution of either 1km2 and 5km2. First, counties within the impacted area are selected, where the percentage of customers without power exceeds a user-defined threshold. County power data is based on the US Department of Energy EAGLE-I system, which automatically gathers electrical grid service status data from company websites every 15 minutes, and organizes it into an easy to read picture of electrical service status nationwide. USNG cells within the impacted counties are selected and the number of hospitals, nursing homes, urgent care facilities and dialysis centers are calculated for each impacted cell (per type and in total; data is extracted from HIFLD). A Jenks Natural Breaks Classification (Optimization) system is used to calculate a Health and Medical impact score for each cell, relative to all impacted cells. This impact score is calculated per health and medical facility type and for all facilities. The impact score ranges between 1 to 5, with 1 signifying the highest impact (i.e., cells with the largest number of health and medical facilities, relative to all impacted cells). </SPAN></P><P><SPAN /></P><P><SPAN>Contact Details</SPAN></P><P><SPAN>Ran Goldblatt, Ph.D.</SPAN></P><P><SPAN>Chief Scientist</SPAN></P><P><SPAN>New Light Technologies, Inc. (NLT)</SPAN></P><P><SPAN>https://NewLightTechnologies.com</SPAN></P><P><SPAN>Ran.Goldblatt@NLTGis.com</SPAN></P><P><SPAN /></P><P><SPAN>Adam Barker, Ph.D.</SPAN></P><P><SPAN>Geospatial Office | HQ Response</SPAN></P><P><SPAN>adam.barker@fema.dhs.gov</SPAN></P><P><SPAN /></P></DIV>

Copyright Text: FEMA RGO

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Field 1: impactscore
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• comments ( type: esriFieldTypeString, alias: comments, length: 255 )
• st_area(shape) ( type: esriFieldTypeDouble, alias: st_area(shape) )
• st_perimeter(shape) ( type: esriFieldTypeDouble, alias: st_perimeter(shape) )
• objectid ( type: esriFieldTypeOID, alias: OBJECTID )
• usng5km ( type: esriFieldTypeString, alias: USNG ID (5km), length: 24 )
• state ( type: esriFieldTypeString, alias: State , length: 1073741822 )
• county ( type: esriFieldTypeString, alias: County , length: 80 )
• ls_day_pop ( type: esriFieldTypeDouble, alias: Landscan daytime population )
• ls_night_pop ( type: esriFieldTypeDouble, alias: Landscan nighttime population )
• pop ( type: esriFieldTypeDouble, alias: Population (estimated) )
• households ( type: esriFieldTypeDouble, alias: Number of households )
• housingunits ( type: esriFieldTypeDouble, alias: Number of housing units )
• pop65over ( type: esriFieldTypeDouble, alias: Population age 65 and over )
• pop16overunemployed ( type: esriFieldTypeDouble, alias: Population age 16 and over, and unemployed )
• pop16overnotinlaborforce ( type: esriFieldTypeDouble, alias: Population age 16 and over, and not in labor force )
• popamindianalaskan ( type: esriFieldTypeDouble, alias: Population American Indian or Alaska Native )
• householdsinpoverty ( type: esriFieldTypeDouble, alias: Number of households in poverty )
• householdsdsfs ( type: esriFieldTypeDouble, alias: Number of households on disability and food stamps )
• householdsdsnofs ( type: esriFieldTypeDouble, alias: Number of households on disability and no food stamps )
• householdswithfs ( type: esriFieldTypeDouble, alias: Number of households with food stamps / SNAP )
• householdswithpa ( type: esriFieldTypeDouble, alias: Number of households with public asstistance )
• housingunitsmobilehomes ( type: esriFieldTypeDouble, alias: Number of housing units that are mobile homes )
• lep ( type: esriFieldTypeDouble, alias: Number of housholds with limited English proficiency )
• fips ( type: esriFieldTypeInteger, alias: County FIPS code )
• usng1km ( type: esriFieldTypeString, alias: USNG ID (1km), length: 255 )
• usng5km_1 ( type: esriFieldTypeString, alias: usng5km, length: 24 )
• dialysis_center ( type: esriFieldTypeInteger, alias: Number of dialysis centers in counties without power )
• hospitals ( type: esriFieldTypeInteger, alias: Number of hospitals in counties without power )
• nursing_homes ( type: esriFieldTypeInteger, alias: Number of nursing homes centers in counties without power )
• urgent_care ( type: esriFieldTypeInteger, alias: Number of urgent care facilities in counties without power )
• totalnumfacilities ( type: esriFieldTypeSmallInteger, alias: Total number of health and medical facilities in counties without power )
• impactscore ( type: esriFieldTypeSmallInteger, alias: Health and Medical POST Impact Score )
• lastupdatedon ( type: esriFieldTypeDate, alias: Last Updated On, length: 8 )
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