Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Master list of addresses received from CTC that are unserved in the State of Delaware. Derived from a full list of addresses by county.</SPAN></P></DIV></DIV></DIV>
Name: CDC SVI 2020 Tracts (Delaware) with Unserved Counts
Display Field: ST
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>See complete documentation here: </SPAN><A href="https://www.atsdr.cdc.gov/placeandhealth/svi/data_documentation_download.html" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>https://www.atsdr.cdc.gov/placeandhealth/svi/data_documentation_download.html</SPAN></SPAN></A><SPAN>. For additional questions, contact the SVI Lead at svi_coordinator@cdc.gov.</SPAN></P><P><SPAN>This layer contains data pertaining only to Delaware. Tracts have been ranked against other tracts only in Delaware, not against other States.</SPAN></P></DIV></DIV></DIV>
Copyright Text: CDC\ATSDR\Office of Innovation and Analytics\Geospatial Research, Analysis, and Services Program (GRASP)
E_HBURD
(
type: esriFieldTypeInteger, alias: Housing cost-burdened occupied housing units with annual income less than $75,000 (30%+ of income spent on housing costs) estimate, 2016-2020 ACS
)
M_HBURD
(
type: esriFieldTypeInteger, alias: Housing cost-burdened occupied housing units with annual income less than $75,000 (30%+ of income spent on housing costs) estimate MOE, 2016-2020 ACS
)
E_NOHSDP
(
type: esriFieldTypeInteger, alias: Persons (age 25+) with no high school diploma estimate, 2016-2020 ACS
)
M_NOHSDP
(
type: esriFieldTypeInteger, alias: Persons (age 25+) with no high school diploma estimate MOE, 2016-2020 ACS
)
E_UNINSUR
(
type: esriFieldTypeInteger, alias: Uninsured in the total civilian noninstitutionalized population estimate, 2016-2020 ACS
)
M_UNINSUR
(
type: esriFieldTypeInteger, alias: Uninsured in the total civilian noninstitutionalized population estimate MOE, 2016-2020 ACS
)
EP_HBURD
(
type: esriFieldTypeDouble, alias: Percentage of housing cost-burdened occupied housing units with annual income less than $75,000 estimate, 2016-2020 ACS
)
MP_HBURD
(
type: esriFieldTypeDouble, alias: Percentage of housing cost-burdened occupied housing units with annual income less than $75,000 estimate MOE, 2016-2020 ACS
)
EP_NOHSDP
(
type: esriFieldTypeDouble, alias: Percentage of persons with no high school diploma (age 25+) estimate
)
MP_NOHSDP
(
type: esriFieldTypeDouble, alias: Percentage of persons with no high school diploma (age 25+) estimate MOE
)
EP_UNINSUR
(
type: esriFieldTypeDouble, alias: Percentage uninsured in the total civilian noninstitutionalized population estimate, 2016-2020 ACS
)
MP_UNINSUR
(
type: esriFieldTypeDouble, alias: Percentage uninsured in the total civilian noninstitutionalized population estimate MOE, 2016-2020 ACS
)
EP_AGE65
(
type: esriFieldTypeDouble, alias: Percentage of persons aged 65 and older estimate, 2016-2020 ACS
)
MP_AGE65
(
type: esriFieldTypeDouble, alias: Percentage of persons aged 65 and older estimate MOE, 2016-2020 ACS
)
EP_AGE17
(
type: esriFieldTypeDouble, alias: Percentage of persons aged 17 and younger estimate, 2016-2020 ACS
)
MP_AGE17
(
type: esriFieldTypeDouble, alias: Percentage of persons aged 17 and younger estimate MOE, 2016-2020 ACS
)
EP_DISABL
(
type: esriFieldTypeDouble, alias: Percentage of civilian noninstitutionalized population with a disability estimate, 2016-2020 ACS
)
MP_DISABL
(
type: esriFieldTypeDouble, alias: Percentage of civilian noninstitutionalized population with a disability estimate MOE, 2016-2020 ACS
)
EP_SNGPNT
(
type: esriFieldTypeDouble, alias: Percentage of single-parent households with children under 18 estimate, 2016-2020 ACS
)
MP_SNGPNT
(
type: esriFieldTypeDouble, alias: Percentage of single-parent households with children under 18 estimate MOE, 2016-2020 ACS
)
EP_LIMENG
(
type: esriFieldTypeDouble, alias: Percentage of persons (age 5+) who speak English "less than well" estimate, 2016-2020 ACS
)
MP_LIMENG
(
type: esriFieldTypeDouble, alias: Percentage of persons (age 5+) who speak English "less than well" estimate MOE, 2016-2020 ACS
)
F_POV150
(
type: esriFieldTypeInteger, alias: Flag - the percentage of persons below 150% poverty is in the 90th percentile (1 = yes, 0 = no)
)
F_UNEMP
(
type: esriFieldTypeInteger, alias: Flag - the percentage of civilian unemployed is in the 90th percentile (1 = yes, 0 = no)
)
F_HBURD
(
type: esriFieldTypeInteger, alias: Flag - the percentage of housing cost-burdened occupied housing units is in the 90th percentile (1 = yes, 0 = no)
)
F_NOHSDP
(
type: esriFieldTypeInteger, alias: Flag - the percentage of persons with no high school diploma is in the 90th percentile (1 = yes, 0 = no)
)
F_UNINSUR
(
type: esriFieldTypeInteger, alias: Flag - the percentage of uninsured is in the 90th percentile (1 = yes, 0 = no)
)
F_THEME1
(
type: esriFieldTypeInteger, alias: Sum of flags for Socioeconomic Status theme
)
F_AGE65
(
type: esriFieldTypeInteger, alias: Flag - the percentage of persons aged 65 and older is in the 90th percentile (1 = yes, 0 = no)
)
F_AGE17
(
type: esriFieldTypeInteger, alias: Flag - the percentage of persons aged 17 and younger is in the 90th percentile (1 = yes, 0 = no)
)
F_DISABL
(
type: esriFieldTypeInteger, alias: Flag - the percentage of persons with a disability is in the 90th percentile (1 = yes, 0 = no)
)
F_SNGPNT
(
type: esriFieldTypeInteger, alias: Flag - the percentage of single-parent households is in the 90th percentile (1 = yes, 0 = no)
)
F_LIMENG
(
type: esriFieldTypeInteger, alias: Flag - the percentage those with limited English is in the 90th percentile (1 = yes, 0 = no)
)
F_THEME2
(
type: esriFieldTypeInteger, alias: Sum of flags for Household Characteristics theme
)
F_MINRTY
(
type: esriFieldTypeInteger, alias: Flag - the percentage of minority is in the 90th percentile (1 = yes, 0 = no)
)
F_THEME3
(
type: esriFieldTypeInteger, alias: Sum of flags for Racial and Ethnic Minority Status theme
)
F_MUNIT
(
type: esriFieldTypeInteger, alias: Flag - the percentage of households in multi-unit housing is in the 90th percentile (1 = yes, 0 = no)
)
F_MOBILE
(
type: esriFieldTypeInteger, alias: Flag - the percentage of mobile homes is in the 90th percentile (1 = yes, 0 = no)
)
F_CROWD
(
type: esriFieldTypeInteger, alias: Flag - the percentage of crowded households is in the 90th percentile (1 = yes, 0 = no)
)
F_NOVEH
(
type: esriFieldTypeInteger, alias: Flag - the percentage of households with no vehicles is in the 90th percentile (1 = yes, 0 = no)
)
F_GROUPQ
(
type: esriFieldTypeInteger, alias: Flag - the percentage of persons in group quarters is in the 90th percentile (1 = yes, 0 = no)
)
F_THEME4
(
type: esriFieldTypeInteger, alias: Sum of flags for Housing Type/Transportation theme
)
F_TOTAL
(
type: esriFieldTypeInteger, alias: Sum of flags for the four themes
)
E_NOINT
(
type: esriFieldTypeInteger, alias: Adjunct variable - Households without a computer with a broadband internet subscription estimate, 2016-2020 ACS
)
M_NOINT
(
type: esriFieldTypeInteger, alias: Adjunct variable - Households without a computer with a broadband internet subscription estimate MOE, 2016-2020 ACS
)
E_AFAM
(
type: esriFieldTypeInteger, alias: Adjunct variable - Black/African American, not Hispanic or Latino persons estimate, 2016-2020 ACS
)
M_AFAM
(
type: esriFieldTypeInteger, alias: Adjunct variable - Black/African American, not Hispanic or Latino persons estimate MOE, 2016-2020 ACS
)
E_ASIAN
(
type: esriFieldTypeInteger, alias: Adjunct variable - Asian, not Hispanic or Latino persons estimate, 2016-2020 ACS
)
M_ASIAN
(
type: esriFieldTypeInteger, alias: Adjunct variable - Asian, not Hispanic or Latino persons estimate MOE, 2016-2020 ACS
)
E_AIAN
(
type: esriFieldTypeInteger, alias: Adjunct variable - American Indian or Alaska Native, not Hispanic or Latino persons estimate, 2016-2020 ACS
)
M_AIAN
(
type: esriFieldTypeInteger, alias: Adjunct variable - American Indian or Alaska Native, not Hispanic or Latino persons estimate MOE, 2016-2020 ACS
)
E_NHPI
(
type: esriFieldTypeInteger, alias: Adjunct variable - Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate, 2016-2020 ACS
)
M_NHPI
(
type: esriFieldTypeInteger, alias: Adjunct variable - Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate MOE, 2016-2020 ACS
)
E_TWOMORE
(
type: esriFieldTypeInteger, alias: Adjunct variable - Two or more races, not Hispanic or Latino persons estimate, 2016-2020 ACS
)
M_TWOMORE
(
type: esriFieldTypeInteger, alias: Adjunct variable - Two or more races, not Hispanic or Latino persons estimate MOE, 2016-2020 ACS
)
E_OTHERRAC
(
type: esriFieldTypeInteger, alias: Adjunct variable - Some other race, not Hispanic or Latino persons estimate, 2016-2020 ACS
)
M_OTHERRAC
(
type: esriFieldTypeInteger, alias: Adjunct variable - Some other race, not Hispanic or Latino persons estimate MOE, 2016-2020 ACS
)
EP_NOINT
(
type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of households without a computer with a broadband internet subscription estimate, 2016-2020 ACS
)
MP_NOINT
(
type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of households without a computer with a broadband internet subscription estimate MOE, 2016-2020 ACS
)
EP_AFAM
(
type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Black/African American, not Hispanic or Latino persons estimate, 2016-2020 ACS
)
MP_AFAM
(
type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Black/African American, not Hispanic or Latino persons estimate MOE, 2016-2020 ACS
)
EP_HISP
(
type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Hispanic or Latino persons estimate, 2016-2020 ACS
)
MP_HISP
(
type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Hispanic or Latino persons estimate MOE, 2016-2020 ACS
)
EP_ASIAN
(
type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Asian, not Hispanic or Latino persons estimate, 2016-2020 ACS
)
MP_ASIAN
(
type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Asian, not Hispanic or Latino persons estimate MOE, 2016-2020 ACS
)
EP_AIAN
(
type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of American Indican or Alaska Native, not Hispanic or Latino persons estimate, 2016-2020 ACS
)
MP_AIAN
(
type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of American Indican or Alaska Native, not Hispanic or Latino persons estimate MOE, 2016-2020 ACS
)
EP_NHPI
(
type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate, 2016-2020 ACS
)
MP_NHPI
(
type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate MOE, 2016-2020 ACS
)
EP_TWOMORE
(
type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of two or more races, not Hispanic or Latino persons estimate, 2016-2020 ACS
)
MP_TWOMORE
(
type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of two or more races, not Hispanic or Latino persons estimate MOE, 2016-2020 ACS
)
EP_OTHERRA
(
type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of some other race, not Hispanic or Latino persons estimate, 2016-2020 ACS
)
MP_OTHERRA
(
type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of some other race, not Hispanic or Latino persons estimate MOE, 2016-2020 ACS
)
Description: <DIV STYLE="text-align:Left;"><P><SPAN>This layer contains basic demographic data from the 2020 census at the tract level and includes a count of the number of addresses considered to be unserved by broadband. The list of addresses was created by the vendor CTC to assess Delaware's broadband need and is used to determine how to disperse federal funding to selected contractors to build out broadband access.</SPAN></P></DIV>