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Layer: SVI2022 US county (1)

Name: SVI2022 US county

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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></DIV></DIV></DIV>

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Copyright Text: CDC\ATSDR\Office of Innovation and Analytics\Geospatial Research, Analysis, and Services Program (GRASP)

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Fields:
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• STATE ( type: esriFieldTypeString, alias: State name, length: 255 )
• ST_ABBR ( type: esriFieldTypeString, alias: State abbreviation, length: 2 )
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• AREA_SQMI ( type: esriFieldTypeDouble, alias: Tract area in square miles )
• E_TOTPOP ( type: esriFieldTypeInteger, alias: Population estimate, 2018-2022 ACS )
• M_TOTPOP ( type: esriFieldTypeInteger, alias: Population estimate MOE, 2018-2022 ACS )
• E_HU ( type: esriFieldTypeInteger, alias: Housing units estimate, 2018-2022 ACS )
• M_HU ( type: esriFieldTypeInteger, alias: Housing units estimate MOE, 2018-2022 ACS )
• E_HH ( type: esriFieldTypeInteger, alias: Households estimate, 2018-2022 ACS )
• M_HH ( type: esriFieldTypeInteger, alias: Households estimate MOE, 2018-2022 ACS )
• E_POV150 ( type: esriFieldTypeInteger, alias: Persons below 150% poverty estimate, 2018-2022 ACS )
• M_POV150 ( type: esriFieldTypeInteger, alias: Persons below 150% poverty estimate MOE, 2018-2022 ACS )
• E_UNEMP ( type: esriFieldTypeInteger, alias: Civilian (age 16+) unemployed estimate, 2018-2022 ACS )
• M_UNEMP ( type: esriFieldTypeInteger, alias: Civilian (age 16+) unemployed estimate MOE, 2018-2022 ACS )
• 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, 2018-2022 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, 2018-2022 ACS )
• E_NOHSDP ( type: esriFieldTypeInteger, alias: Persons (age 25+) with no high school diploma estimate, 2018-2022 ACS )
• M_NOHSDP ( type: esriFieldTypeInteger, alias: Persons (age 25+) with no high school diploma estimate MOE, 2018-2022 ACS )
• E_UNINSUR ( type: esriFieldTypeInteger, alias: Uninsured in the total civilian noninstitutionalized population estimate, 2018-2022 ACS )
• M_UNINSUR ( type: esriFieldTypeInteger, alias: Uninsured in the total civilian noninstitutionalized population estimate MOE, 2018-2022 ACS )
• E_AGE65 ( type: esriFieldTypeInteger, alias: Persons aged 65 and older estimate, 2018-2022 ACS )
• M_AGE65 ( type: esriFieldTypeInteger, alias: Persons aged 65 and older estimate MOE, 2018-2022 ACS )
• E_AGE17 ( type: esriFieldTypeInteger, alias: Persons aged 17 and younger estimate, 2018-2022 ACS )
• M_AGE17 ( type: esriFieldTypeInteger, alias: Persons aged 17 and younger estimate MOE, 2018-2022 ACS )
• E_DISABL ( type: esriFieldTypeInteger, alias: Civilian noninstitutionalized population with a disability estimate, 2018-2022 ACS )
• M_DISABL ( type: esriFieldTypeInteger, alias: Civilian noninstitutionalized population with a disability estimate MOE, 2018-2022 ACS )
• E_SNGPNT ( type: esriFieldTypeInteger, alias: Single-parent household with children under 18 estimate, 2018-2022 ACS )
• M_SNGPNT ( type: esriFieldTypeInteger, alias: Single-parent household with children under 18 estimate MOE, 2018-2022 ACS )
• E_LIMENG ( type: esriFieldTypeInteger, alias: Persons (age 5+) who speak English "less than well" estimate, 2018-2022 ACS )
• M_LIMENG ( type: esriFieldTypeInteger, alias: Persons (age 5+) who speak English "less than well" estimate MOE, 2018-2022 ACS )
• E_MINRTY ( type: esriFieldTypeInteger, alias: Minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic or Latino; T )
• M_MINRTY ( type: esriFieldTypeInteger, alias: Minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic or Latino; T )
• E_MUNIT ( type: esriFieldTypeInteger, alias: Housing in structures with 10 or more units estimate, 2018-2022 ACS )
• M_MUNIT ( type: esriFieldTypeInteger, alias: Housing in structures with 10 or more units estimate MOE, 2018-2022 ACS )
• E_MOBILE ( type: esriFieldTypeInteger, alias: Mobile homes estimate, 2018-2022 ACS )
• M_MOBILE ( type: esriFieldTypeInteger, alias: Mobile homes estimate MOE, 2018-2022 ACS )
• E_CROWD ( type: esriFieldTypeInteger, alias: At household level (occupied housing units), more people than rooms estimate, 2018-2022 ACS )
• M_CROWD ( type: esriFieldTypeInteger, alias: At household level (occupied housing units), more people than rooms estimate MOE, 2018-2022 ACS )
• E_NOVEH ( type: esriFieldTypeInteger, alias: Households with no vehicle available estimate, 2018-2022 ACS )
• M_NOVEH ( type: esriFieldTypeInteger, alias: Households with no vehicle available estimate MOE, 2018-2022 ACS )
• E_GROUPQ ( type: esriFieldTypeInteger, alias: Persons in group quarters estimate, 2018-2022 ACS )
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• MP_POV150 ( type: esriFieldTypeDouble, alias: Percentage of persons below 150% poverty estimate MOE )
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• MP_HBURD ( type: esriFieldTypeDouble, alias: Percentage of housing cost-burdened occupied housing units with annual income less than $75,000 (30%+ of income spent on housing costs) estimate MOE, 2018-2022 ACS )
• EP_NOHSDP ( type: esriFieldTypeDouble, alias: Percentage of persons with no high school diploma (age 25+) estimate )
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• MP_UNINSUR ( type: esriFieldTypeDouble, alias: Percentage uninsured in the total civilian noninstitutionalized population estimate MOE, 2018-2022 ACS )
• EP_AGE65 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 65 and older estimate, 2018-2022 ACS )
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• MP_AGE17 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 17 and younger estimate MOE, 2018-2022 ACS )
• EP_DISABL ( type: esriFieldTypeDouble, alias: Percentage of civilian noninstitutionalized population with a disability estimate, 2018-2022 ACS )
• MP_DISABL ( type: esriFieldTypeDouble, alias: Percentage of civilian noninstitutionalized population with a disability estimate MOE, 2018-2022 ACS )
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• MP_LIMENG ( type: esriFieldTypeDouble, alias: Percentage of persons (age 5+) who speak English "less than well" estimate MOE, 2018-2022 ACS )
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• EP_MUNIT ( type: esriFieldTypeDouble, alias: Percentage of housing in structures with 10 or more units estimate )
• MP_MUNIT ( type: esriFieldTypeDouble, alias: Percentage of housing in structures with 10 or more units estimate MOE )
• EP_MOBILE ( type: esriFieldTypeDouble, alias: Percentage of mobile homes estimate )
• MP_MOBILE ( type: esriFieldTypeDouble, alias: Percentage of mobile homes estimate MOE )
• EP_CROWD ( type: esriFieldTypeDouble, alias: Percentage of occupied housing units with more people than rooms estimate )
• MP_CROWD ( type: esriFieldTypeDouble, alias: Percentage of occupied housing units with more people than rooms estimate MOE )
• EP_NOVEH ( type: esriFieldTypeDouble, alias: Percentage of households with no vehicle available estimate )
• MP_NOVEH ( type: esriFieldTypeDouble, alias: Percentage of households with no vehicle available estimate MOE )
• EP_GROUPQ ( type: esriFieldTypeDouble, alias: Percentage of persons in group quarters estimate, 2018-2022 ACS )
• MP_GROUPQ ( type: esriFieldTypeDouble, alias: Percentage of persons in group quarters estimate MOE, 2018-2022 ACS )
• EPL_POV150 ( type: esriFieldTypeDouble, alias: Percentile percentage of persons below 150% poverty estimate )
• EPL_UNEMP ( type: esriFieldTypeDouble, alias: Percentile percentage of civilian (age 16+) unemployed estimate )
• EPL_HBURD ( type: esriFieldTypeDouble, alias: Percentile percentage of housing cost-burdened occupied housing units estimate )
• EPL_NOHSDP ( type: esriFieldTypeDouble, alias: Percentile percentage of persons with no high school diploma (age 25+) estimate )
• EPL_UNINSUR ( type: esriFieldTypeDouble, alias: Percentile percentage of uninsured estimate )
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• EPL_AGE65 ( type: esriFieldTypeDouble, alias: Percentile percentage of persons aged 65 and older estimate )
• EPL_AGE17 ( type: esriFieldTypeDouble, alias: Percentile percentage of persons aged 17 and younger estimate )
• EPL_DISABL ( type: esriFieldTypeDouble, alias: Percentile percentage of civilian noninstitutionalized population with a disability estimate )
• EPL_SNGPNT ( type: esriFieldTypeDouble, alias: Percentile percentage of single-parent households with children under 18 estimate )
• EPL_LIMENG ( type: esriFieldTypeDouble, alias: Percentile percentage of persons (age 5+) who speak English "less than well" estimate )
• SPL_THEME2 ( type: esriFieldTypeDouble, alias: Sum of series for Household Characteristics theme )
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• EPL_MINRTY ( type: esriFieldTypeDouble, alias: Percentile percentage minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not )
• SPL_THEME3 ( type: esriFieldTypeDouble, alias: Sum of series for Racial and Ethnic Minority Status theme )
• RPL_THEME3 ( type: esriFieldTypeDouble, alias: Percentile ranking for Racial and Ethnic Minority Status theme )
• EPL_MUNIT ( type: esriFieldTypeDouble, alias: Percentile percentage housing in structures with 10 or more units estimate )
• EPL_MOBILE ( type: esriFieldTypeDouble, alias: Percentile percentage mobile homes estimate )
• EPL_CROWD ( type: esriFieldTypeDouble, alias: Percentile percentage households with more people than rooms estimate )
• EPL_NOVEH ( type: esriFieldTypeDouble, alias: Percentile percentage households with no vehicle available estimate )
• EPL_GROUPQ ( type: esriFieldTypeDouble, alias: Percentile percentage of persons in group quarters estimate )
• SPL_THEME4 ( type: esriFieldTypeDouble, alias: Sum of series for Housing Type/ Transportation theme )
• RPL_THEME4 ( type: esriFieldTypeDouble, alias: Percentile ranking for Housing Type/ Transportation theme )
• SPL_THEMES ( type: esriFieldTypeDouble, alias: Sum of series themes )
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• F_UNEMP ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of civilian unemployed is in the 90th percentile (1 = yes, 0 = no) )
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• F_DISABL ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons with a disability is in the 90th percentile (1 = yes, 0 = no) )
• F_SNGPNT ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of single-parent households is in the 90th percentile (1 = yes, 0 = no) )
• F_LIMENG ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage those with limited English is in the 90th percentile (1 = yes, 0 = no) )
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• F_MUNIT ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of households in multi-unit housing is in the 90th percentile (1 = yes, 0 = no) )
• F_MOBILE ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of mobile homes is in the 90th percentile (1 = yes, 0 = no) )
• F_CROWD ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of crowded households is in the 90th percentile (1 = yes, 0 = no) )
• F_NOVEH ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of households with no vehicles is in the 90th percentile (1 = yes, 0 = no) )
• F_GROUPQ ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons in group quarters is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME4 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Housing Type/ Transportation theme )
• F_TOTAL ( type: esriFieldTypeSmallInteger, alias: Sum of flags for the four themes )
• E_DAYPOP ( type: esriFieldTypeInteger, alias: Adjunct variable - Estimated daytime population, LandScan 2020 )
• E_NOINT ( type: esriFieldTypeInteger, alias: Adjunct variable - Households without a computer with a broadband Internet subscription estimate, 2018-2022 ACS )
• M_NOINT ( type: esriFieldTypeInteger, alias: Adjunct variable - Households without a computer with a broadband Internet subscription estimate MOE, 2018-2022 ACS )
• E_AFAM ( type: esriFieldTypeInteger, alias: Adjunct variable - Black/African American, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_AFAM ( type: esriFieldTypeInteger, alias: Adjunct variable - Black/African American, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_HISP ( type: esriFieldTypeInteger, alias: Adjunct variable – Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_HISP ( type: esriFieldTypeInteger, alias: Adjunct variable – Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_ASIAN ( type: esriFieldTypeInteger, alias: Adjunct variable – Asian, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_ASIAN ( type: esriFieldTypeInteger, alias: Adjunct variable – Asian, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_AIAN ( type: esriFieldTypeInteger, alias: Adjunct variable - American Indian or Alaska Native, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_AIAN ( type: esriFieldTypeInteger, alias: Adjunct variable - American Indian or Alaska Native, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_NHPI ( type: esriFieldTypeInteger, alias: Adjunct variable - Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_NHPI ( type: esriFieldTypeInteger, alias: Adjunct variable - Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_TWOMORE ( type: esriFieldTypeInteger, alias: Adjunct variable - Two or more races, not Hispanic or Latino persons estimate, 2018-2022 ACS )
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• M_OTHERRACE ( type: esriFieldTypeInteger, alias: Adjunct variable - Some other race, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
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• MP_NOINT ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of households without a computer with a broadband Internet subscription estimate MOE, 2018-2022 ACS )
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• MP_AFAM ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Black/African American, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_HISP ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_HISP ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_ASIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Asian, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_ASIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Asian, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_AIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of American Indian or Alaska Native, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_AIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of American Indian or Alaska Native, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_NHPI ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_NHPI ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_TWOMORE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of two or more races, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_TWOMORE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of two or more races, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_OTHERRACE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of some other race, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_OTHERRACE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of some other race, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• GRASP_ID ( type: esriFieldTypeOID, alias: GRASP_ID )
• SHAPE ( type: esriFieldTypeGeometry, alias: SHAPE )
• SHAPE.STArea() ( type: esriFieldTypeDouble, alias: SHAPE.STArea() )
• SHAPE.STLength() ( type: esriFieldTypeDouble, alias: SHAPE.STLength() )

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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></DIV></DIV></DIV>

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Fields:
• ST ( type: esriFieldTypeString, alias: State-level FIPS code, length: 2 )
• STATE ( type: esriFieldTypeString, alias: State name, length: 255 )
• ST_ABBR ( type: esriFieldTypeString, alias: State abbreviation, length: 2 )
• STCNTY ( type: esriFieldTypeString, alias: County-level FIPS code, length: 5 )
• COUNTY ( type: esriFieldTypeString, alias: County name, length: 255 )
• FIPS ( type: esriFieldTypeString, alias: Tract-level FIPS code, length: 30 )
• LOCATION ( type: esriFieldTypeString, alias: Text description of tract, county, state, length: 255 )
• AREA_SQMI ( type: esriFieldTypeDouble, alias: Tract area in square miles )
• E_TOTPOP ( type: esriFieldTypeInteger, alias: Population estimate, 2018-2022 ACS )
• M_TOTPOP ( type: esriFieldTypeInteger, alias: Population estimate MOE, 2018-2022 ACS )
• E_HU ( type: esriFieldTypeInteger, alias: Housing units estimate, 2018-2022 ACS )
• M_HU ( type: esriFieldTypeInteger, alias: Housing units estimate MOE, 2018-2022 ACS )
• E_HH ( type: esriFieldTypeInteger, alias: Households estimate, 2018-2022 ACS )
• M_HH ( type: esriFieldTypeInteger, alias: Households estimate MOE, 2018-2022 ACS )
• E_POV150 ( type: esriFieldTypeInteger, alias: Persons below 150% poverty estimate, 2018-2022 ACS )
• M_POV150 ( type: esriFieldTypeInteger, alias: Persons below 150% poverty estimate MOE, 2018-2022 ACS )
• E_UNEMP ( type: esriFieldTypeInteger, alias: Civilian (age 16+) unemployed estimate, 2018-2022 ACS )
• M_UNEMP ( type: esriFieldTypeInteger, alias: Civilian (age 16+) unemployed estimate MOE, 2018-2022 ACS )
• 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, 2018-2022 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, 2018-2022 ACS )
• E_NOHSDP ( type: esriFieldTypeInteger, alias: Persons (age 25+) with no high school diploma estimate, 2018-2022 ACS )
• M_NOHSDP ( type: esriFieldTypeInteger, alias: Persons (age 25+) with no high school diploma estimate MOE, 2018-2022 ACS )
• E_UNINSUR ( type: esriFieldTypeInteger, alias: Uninsured in the total civilian noninstitutionalized population estimate, 2018-2022 ACS )
• M_UNINSUR ( type: esriFieldTypeInteger, alias: Uninsured in the total civilian noninstitutionalized population estimate MOE, 2018-2022 ACS )
• E_AGE65 ( type: esriFieldTypeInteger, alias: Persons aged 65 and older estimate, 2018-2022 ACS )
• M_AGE65 ( type: esriFieldTypeInteger, alias: Persons aged 65 and older estimate MOE, 2018-2022 ACS )
• E_AGE17 ( type: esriFieldTypeInteger, alias: Persons aged 17 and younger estimate, 2018-2022 ACS )
• M_AGE17 ( type: esriFieldTypeInteger, alias: Persons aged 17 and younger estimate MOE, 2018-2022 ACS )
• E_DISABL ( type: esriFieldTypeInteger, alias: Civilian noninstitutionalized population with a disability estimate, 2018-2022 ACS )
• M_DISABL ( type: esriFieldTypeInteger, alias: Civilian noninstitutionalized population with a disability estimate MOE, 2018-2022 ACS )
• E_SNGPNT ( type: esriFieldTypeInteger, alias: Single-parent household with children under 18 estimate, 2018-2022 ACS )
• M_SNGPNT ( type: esriFieldTypeInteger, alias: Single-parent household with children under 18 estimate MOE, 2018-2022 ACS )
• E_LIMENG ( type: esriFieldTypeInteger, alias: Persons (age 5+) who speak English "less than well" estimate, 2018-2022 ACS )
• M_LIMENG ( type: esriFieldTypeInteger, alias: Persons (age 5+) who speak English "less than well" estimate MOE, 2018-2022 ACS )
• E_MINRTY ( type: esriFieldTypeInteger, alias: Minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic or Latino; T )
• M_MINRTY ( type: esriFieldTypeInteger, alias: Minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic or Latino; T )
• E_MUNIT ( type: esriFieldTypeInteger, alias: Housing in structures with 10 or more units estimate, 2018-2022 ACS )
• M_MUNIT ( type: esriFieldTypeInteger, alias: Housing in structures with 10 or more units estimate MOE, 2018-2022 ACS )
• E_MOBILE ( type: esriFieldTypeInteger, alias: Mobile homes estimate, 2018-2022 ACS )
• M_MOBILE ( type: esriFieldTypeInteger, alias: Mobile homes estimate MOE, 2018-2022 ACS )
• E_CROWD ( type: esriFieldTypeInteger, alias: At household level (occupied housing units), more people than rooms estimate, 2018-2022 ACS )
• M_CROWD ( type: esriFieldTypeInteger, alias: At household level (occupied housing units), more people than rooms estimate MOE, 2018-2022 ACS )
• E_NOVEH ( type: esriFieldTypeInteger, alias: Households with no vehicle available estimate, 2018-2022 ACS )
• M_NOVEH ( type: esriFieldTypeInteger, alias: Households with no vehicle available estimate MOE, 2018-2022 ACS )
• E_GROUPQ ( type: esriFieldTypeInteger, alias: Persons in group quarters estimate, 2018-2022 ACS )
• M_GROUPQ ( type: esriFieldTypeInteger, alias: Persons in group quarters estimate MOE, 2018-2022 ACS )
• EP_POV150 ( type: esriFieldTypeDouble, alias: Percentage of persons below 150% poverty estimate )
• MP_POV150 ( type: esriFieldTypeDouble, alias: Percentage of persons below 150% poverty estimate MOE )
• EP_UNEMP ( type: esriFieldTypeDouble, alias: Unemployment Rate estimate )
• MP_UNEMP ( type: esriFieldTypeDouble, alias: Unemployment Rate estimate MOE )
• EP_HBURD ( type: esriFieldTypeDouble, alias: Percentage of housing cost-burdened occupied housing units with annual income less than $75,000 (30%+ of income spent on housing costs) estimate, 2018-2022 ACS estimate, 2018-2022 ACS )
• MP_HBURD ( type: esriFieldTypeDouble, alias: Percentage of housing cost-burdened occupied housing units with annual income less than $75,000 (30%+ of income spent on housing costs) estimate MOE, 2018-2022 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 (25+) estimate MOE )
• EP_UNINSUR ( type: esriFieldTypeDouble, alias: Percentage uninsured in the total civilian noninstitutionalized population estimate, 2018-2022 ACS )
• MP_UNINSUR ( type: esriFieldTypeDouble, alias: Percentage uninsured in the total civilian noninstitutionalized population estimate MOE, 2018-2022 ACS )
• EP_AGE65 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 65 and older estimate, 2018-2022 ACS )
• MP_AGE65 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 65 and older estimate MOE, 2018-2022 ACS )
• EP_AGE17 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 17 and younger estimate, 2018-2022 ACS )
• MP_AGE17 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 17 and younger estimate MOE, 2018-2022 ACS )
• EP_DISABL ( type: esriFieldTypeDouble, alias: Percentage of civilian noninstitutionalized population with a disability estimate, 2018-2022 ACS )
• MP_DISABL ( type: esriFieldTypeDouble, alias: Percentage of civilian noninstitutionalized population with a disability estimate MOE, 2018-2022 ACS )
• EP_SNGPNT ( type: esriFieldTypeDouble, alias: Percentage of single-parent households with children under 18 estimate, 2018-2022 ACS )
• MP_SNGPNT ( type: esriFieldTypeDouble, alias: Percentage of single-parent households with children under 18 estimate MOE, 2018-2022 ACS )
• EP_LIMENG ( type: esriFieldTypeDouble, alias: Percentage of persons (age 5+) who speak English "less than well" estimate, 2018-2022 ACS )
• MP_LIMENG ( type: esriFieldTypeDouble, alias: Percentage of persons (age 5+) who speak English "less than well" estimate MOE, 2018-2022 ACS )
• EP_MINRTY ( type: esriFieldTypeDouble, alias: Percentage minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic o )
• MP_MINRTY ( type: esriFieldTypeDouble, alias: Percentage minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic o )
• EP_MUNIT ( type: esriFieldTypeDouble, alias: Percentage of housing in structures with 10 or more units estimate )
• MP_MUNIT ( type: esriFieldTypeDouble, alias: Percentage of housing in structures with 10 or more units estimate MOE )
• EP_MOBILE ( type: esriFieldTypeDouble, alias: Percentage of mobile homes estimate )
• MP_MOBILE ( type: esriFieldTypeDouble, alias: Percentage of mobile homes estimate MOE )
• EP_CROWD ( type: esriFieldTypeDouble, alias: Percentage of occupied housing units with more people than rooms estimate )
• MP_CROWD ( type: esriFieldTypeDouble, alias: Percentage of occupied housing units with more people than rooms estimate MOE )
• EP_NOVEH ( type: esriFieldTypeDouble, alias: Percentage of households with no vehicle available estimate )
• MP_NOVEH ( type: esriFieldTypeDouble, alias: Percentage of households with no vehicle available estimate MOE )
• EP_GROUPQ ( type: esriFieldTypeDouble, alias: Percentage of persons in group quarters estimate, 2018-2022 ACS )
• MP_GROUPQ ( type: esriFieldTypeDouble, alias: Percentage of persons in group quarters estimate MOE, 2018-2022 ACS )
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• EPL_UNEMP ( type: esriFieldTypeDouble, alias: Percentile percentage of civilian (age 16+) unemployed estimate )
• EPL_HBURD ( type: esriFieldTypeDouble, alias: Percentile percentage of housing cost-burdened occupied housing units estimate )
• EPL_NOHSDP ( type: esriFieldTypeDouble, alias: Percentile percentage of persons with no high school diploma (age 25+) estimate )
• EPL_UNINSUR ( type: esriFieldTypeDouble, alias: Percentile percentage of uninsured estimate )
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• EPL_AGE65 ( type: esriFieldTypeDouble, alias: Percentile percentage of persons aged 65 and older estimate )
• EPL_AGE17 ( type: esriFieldTypeDouble, alias: Percentile percentage of persons aged 17 and younger estimate )
• EPL_DISABL ( type: esriFieldTypeDouble, alias: Percentile percentage of civilian noninstitutionalized population with a disability estimate )
• EPL_SNGPNT ( type: esriFieldTypeDouble, alias: Percentile percentage of single-parent households with children under 18 estimate )
• EPL_LIMENG ( type: esriFieldTypeDouble, alias: Percentile percentage of persons (age 5+) who speak English "less than well" estimate )
• SPL_THEME2 ( type: esriFieldTypeDouble, alias: Sum of series for Household Characteristics theme )
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• EPL_MINRTY ( type: esriFieldTypeDouble, alias: Percentile percentage minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not )
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• RPL_THEME3 ( type: esriFieldTypeDouble, alias: Percentile ranking for Racial and Ethnic Minority Status theme )
• EPL_MUNIT ( type: esriFieldTypeDouble, alias: Percentile percentage housing in structures with 10 or more units estimate )
• EPL_MOBILE ( type: esriFieldTypeDouble, alias: Percentile percentage mobile homes estimate )
• EPL_CROWD ( type: esriFieldTypeDouble, alias: Percentile percentage households with more people than rooms estimate )
• EPL_NOVEH ( type: esriFieldTypeDouble, alias: Percentile percentage households with no vehicle available estimate )
• EPL_GROUPQ ( type: esriFieldTypeDouble, alias: Percentile percentage of persons in group quarters estimate )
• SPL_THEME4 ( type: esriFieldTypeDouble, alias: Sum of series for Housing Type/ Transportation theme )
• RPL_THEME4 ( type: esriFieldTypeDouble, alias: Percentile ranking for Housing Type/ Transportation theme )
• SPL_THEMES ( type: esriFieldTypeDouble, alias: Sum of series themes )
• RPL_THEMES ( type: esriFieldTypeDouble, alias: Overall percentile ranking )
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• F_UNEMP ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of civilian unemployed is in the 90th percentile (1 = yes, 0 = no) )
• F_HBURD ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of housing cost-burdened occupied housing units is in the 90th percentile (1 = yes, 0 = no) )
• F_NOHSDP ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons with no high school diploma is in the 90th percentile (1 = yes, 0 = no) )
• F_UNINSUR ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of uninsured is in the 90th percentile (1 = yes, 0 = no) )
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• F_AGE65 ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons aged 65 and older is in the 90th percentile (1 = yes, 0 = no) )
• F_AGE17 ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons aged 17 and younger is in the 90th percentile (1 = yes, 0 = no) )
• F_DISABL ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons with a disability is in the 90th percentile (1 = yes, 0 = no) )
• F_SNGPNT ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of single-parent households is in the 90th percentile (1 = yes, 0 = no) )
• F_LIMENG ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage those with limited English is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME2 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Household Characteristics theme )
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• F_THEME3 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Racial and Ethnic Minority Status theme )
• F_MUNIT ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of households in multi-unit housing is in the 90th percentile (1 = yes, 0 = no) )
• F_MOBILE ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of mobile homes is in the 90th percentile (1 = yes, 0 = no) )
• F_CROWD ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of crowded households is in the 90th percentile (1 = yes, 0 = no) )
• F_NOVEH ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of households with no vehicles is in the 90th percentile (1 = yes, 0 = no) )
• F_GROUPQ ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons in group quarters is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME4 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Housing Type/ Transportation theme )
• F_TOTAL ( type: esriFieldTypeSmallInteger, alias: Sum of flags for the four themes )
• E_DAYPOP ( type: esriFieldTypeInteger, alias: Adjunct variable - Estimated daytime population, LandScan 2020 )
• E_NOINT ( type: esriFieldTypeInteger, alias: Adjunct variable - Households without a computer with a broadband Internet subscription estimate, 2018-2022 ACS )
• M_NOINT ( type: esriFieldTypeInteger, alias: Adjunct variable - Households without a computer with a broadband Internet subscription estimate MOE, 2018-2022 ACS )
• E_AFAM ( type: esriFieldTypeInteger, alias: Adjunct variable - Black/African American, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_AFAM ( type: esriFieldTypeInteger, alias: Adjunct variable - Black/African American, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_HISP ( type: esriFieldTypeInteger, alias: Adjunct variable – Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_HISP ( type: esriFieldTypeInteger, alias: Adjunct variable – Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_ASIAN ( type: esriFieldTypeInteger, alias: Adjunct variable – Asian, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_ASIAN ( type: esriFieldTypeInteger, alias: Adjunct variable – Asian, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_AIAN ( type: esriFieldTypeInteger, alias: Adjunct variable - American Indian or Alaska Native, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_AIAN ( type: esriFieldTypeInteger, alias: Adjunct variable - American Indian or Alaska Native, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_NHPI ( type: esriFieldTypeInteger, alias: Adjunct variable - Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_NHPI ( type: esriFieldTypeInteger, alias: Adjunct variable - Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_TWOMORE ( type: esriFieldTypeInteger, alias: Adjunct variable - Two or more races, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_TWOMORE ( type: esriFieldTypeInteger, alias: Adjunct variable - Two or more races, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_OTHERRACE ( type: esriFieldTypeInteger, alias: Adjunct variable - Some other race, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_OTHERRACE ( type: esriFieldTypeInteger, alias: Adjunct variable - Some other race, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_NOINT ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of households without a computer with a broadband Internet subscription estimate, 2018-2022 ACS )
• MP_NOINT ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of households without a computer with a broadband Internet subscription estimate MOE, 2018-2022 ACS )
• EP_AFAM ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Black/African American, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_AFAM ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Black/African American, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_HISP ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_HISP ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_ASIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Asian, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_ASIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Asian, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_AIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of American Indian or Alaska Native, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_AIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of American Indian or Alaska Native, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_NHPI ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_NHPI ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_TWOMORE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of two or more races, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_TWOMORE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of two or more races, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
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• MP_OTHERRACE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of some other race, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
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• SHAPE.STArea() ( type: esriFieldTypeDouble, alias: SHAPE.STArea() )
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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></DIV></DIV></DIV>

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Fields:
• ST ( type: esriFieldTypeString, alias: State-level FIPS code, length: 2 )
• STATE ( type: esriFieldTypeString, alias: State name, length: 255 )
• ST_ABBR ( type: esriFieldTypeString, alias: State abbreviation, length: 2 )
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• AREA_SQMI ( type: esriFieldTypeDouble, alias: Tract area in square miles )
• E_TOTPOP ( type: esriFieldTypeInteger, alias: Population estimate, 2018-2022 ACS )
• M_TOTPOP ( type: esriFieldTypeInteger, alias: Population estimate MOE, 2018-2022 ACS )
• E_HU ( type: esriFieldTypeInteger, alias: Housing units estimate, 2018-2022 ACS )
• M_HU ( type: esriFieldTypeInteger, alias: Housing units estimate MOE, 2018-2022 ACS )
• E_HH ( type: esriFieldTypeInteger, alias: Households estimate, 2018-2022 ACS )
• M_HH ( type: esriFieldTypeInteger, alias: Households estimate MOE, 2018-2022 ACS )
• E_POV150 ( type: esriFieldTypeInteger, alias: Persons below 150% poverty estimate, 2018-2022 ACS )
• M_POV150 ( type: esriFieldTypeInteger, alias: Persons below 150% poverty estimate MOE, 2018-2022 ACS )
• E_UNEMP ( type: esriFieldTypeInteger, alias: Civilian (age 16+) unemployed estimate, 2018-2022 ACS )
• M_UNEMP ( type: esriFieldTypeInteger, alias: Civilian (age 16+) unemployed estimate MOE, 2018-2022 ACS )
• 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, 2018-2022 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, 2018-2022 ACS )
• E_NOHSDP ( type: esriFieldTypeInteger, alias: Persons (age 25+) with no high school diploma estimate, 2018-2022 ACS )
• M_NOHSDP ( type: esriFieldTypeInteger, alias: Persons (age 25+) with no high school diploma estimate MOE, 2018-2022 ACS )
• E_UNINSUR ( type: esriFieldTypeInteger, alias: Uninsured in the total civilian noninstitutionalized population estimate, 2018-2022 ACS )
• M_UNINSUR ( type: esriFieldTypeInteger, alias: Uninsured in the total civilian noninstitutionalized population estimate MOE, 2018-2022 ACS )
• E_AGE65 ( type: esriFieldTypeInteger, alias: Persons aged 65 and older estimate, 2018-2022 ACS )
• M_AGE65 ( type: esriFieldTypeInteger, alias: Persons aged 65 and older estimate MOE, 2018-2022 ACS )
• E_AGE17 ( type: esriFieldTypeInteger, alias: Persons aged 17 and younger estimate, 2018-2022 ACS )
• M_AGE17 ( type: esriFieldTypeInteger, alias: Persons aged 17 and younger estimate MOE, 2018-2022 ACS )
• E_DISABL ( type: esriFieldTypeInteger, alias: Civilian noninstitutionalized population with a disability estimate, 2018-2022 ACS )
• M_DISABL ( type: esriFieldTypeInteger, alias: Civilian noninstitutionalized population with a disability estimate MOE, 2018-2022 ACS )
• E_SNGPNT ( type: esriFieldTypeInteger, alias: Single-parent household with children under 18 estimate, 2018-2022 ACS )
• M_SNGPNT ( type: esriFieldTypeInteger, alias: Single-parent household with children under 18 estimate MOE, 2018-2022 ACS )
• E_LIMENG ( type: esriFieldTypeInteger, alias: Persons (age 5+) who speak English "less than well" estimate, 2018-2022 ACS )
• M_LIMENG ( type: esriFieldTypeInteger, alias: Persons (age 5+) who speak English "less than well" estimate MOE, 2018-2022 ACS )
• E_MINRTY ( type: esriFieldTypeInteger, alias: Minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic or Latino; T )
• M_MINRTY ( type: esriFieldTypeInteger, alias: Minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic or Latino; T )
• E_MUNIT ( type: esriFieldTypeInteger, alias: Housing in structures with 10 or more units estimate, 2018-2022 ACS )
• M_MUNIT ( type: esriFieldTypeInteger, alias: Housing in structures with 10 or more units estimate MOE, 2018-2022 ACS )
• E_MOBILE ( type: esriFieldTypeInteger, alias: Mobile homes estimate, 2018-2022 ACS )
• M_MOBILE ( type: esriFieldTypeInteger, alias: Mobile homes estimate MOE, 2018-2022 ACS )
• E_CROWD ( type: esriFieldTypeInteger, alias: At household level (occupied housing units), more people than rooms estimate, 2018-2022 ACS )
• M_CROWD ( type: esriFieldTypeInteger, alias: At household level (occupied housing units), more people than rooms estimate MOE, 2018-2022 ACS )
• E_NOVEH ( type: esriFieldTypeInteger, alias: Households with no vehicle available estimate, 2018-2022 ACS )
• M_NOVEH ( type: esriFieldTypeInteger, alias: Households with no vehicle available estimate MOE, 2018-2022 ACS )
• E_GROUPQ ( type: esriFieldTypeInteger, alias: Persons in group quarters estimate, 2018-2022 ACS )
• M_GROUPQ ( type: esriFieldTypeInteger, alias: Persons in group quarters estimate MOE, 2018-2022 ACS )
• EP_POV150 ( type: esriFieldTypeDouble, alias: Percentage of persons below 150% poverty estimate )
• MP_POV150 ( type: esriFieldTypeDouble, alias: Percentage of persons below 150% poverty estimate MOE )
• EP_UNEMP ( type: esriFieldTypeDouble, alias: Unemployment Rate estimate )
• MP_UNEMP ( type: esriFieldTypeDouble, alias: Unemployment Rate estimate MOE )
• EP_HBURD ( type: esriFieldTypeDouble, alias: Percentage of housing cost-burdened occupied housing units with annual income less than $75,000 (30%+ of income spent on housing costs) estimate, 2018-2022 ACS estimate, 2018-2022 ACS )
• MP_HBURD ( type: esriFieldTypeDouble, alias: Percentage of housing cost-burdened occupied housing units with annual income less than $75,000 (30%+ of income spent on housing costs) estimate MOE, 2018-2022 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 (25+) estimate MOE )
• EP_UNINSUR ( type: esriFieldTypeDouble, alias: Percentage uninsured in the total civilian noninstitutionalized population estimate, 2018-2022 ACS )
• MP_UNINSUR ( type: esriFieldTypeDouble, alias: Percentage uninsured in the total civilian noninstitutionalized population estimate MOE, 2018-2022 ACS )
• EP_AGE65 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 65 and older estimate, 2018-2022 ACS )
• MP_AGE65 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 65 and older estimate MOE, 2018-2022 ACS )
• EP_AGE17 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 17 and younger estimate, 2018-2022 ACS )
• MP_AGE17 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 17 and younger estimate MOE, 2018-2022 ACS )
• EP_DISABL ( type: esriFieldTypeDouble, alias: Percentage of civilian noninstitutionalized population with a disability estimate, 2018-2022 ACS )
• MP_DISABL ( type: esriFieldTypeDouble, alias: Percentage of civilian noninstitutionalized population with a disability estimate MOE, 2018-2022 ACS )
• EP_SNGPNT ( type: esriFieldTypeDouble, alias: Percentage of single-parent households with children under 18 estimate, 2018-2022 ACS )
• MP_SNGPNT ( type: esriFieldTypeDouble, alias: Percentage of single-parent households with children under 18 estimate MOE, 2018-2022 ACS )
• EP_LIMENG ( type: esriFieldTypeDouble, alias: Percentage of persons (age 5+) who speak English "less than well" estimate, 2018-2022 ACS )
• MP_LIMENG ( type: esriFieldTypeDouble, alias: Percentage of persons (age 5+) who speak English "less than well" estimate MOE, 2018-2022 ACS )
• EP_MINRTY ( type: esriFieldTypeDouble, alias: Percentage minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic o )
• MP_MINRTY ( type: esriFieldTypeDouble, alias: Percentage minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic o )
• EP_MUNIT ( type: esriFieldTypeDouble, alias: Percentage of housing in structures with 10 or more units estimate )
• MP_MUNIT ( type: esriFieldTypeDouble, alias: Percentage of housing in structures with 10 or more units estimate MOE )
• EP_MOBILE ( type: esriFieldTypeDouble, alias: Percentage of mobile homes estimate )
• MP_MOBILE ( type: esriFieldTypeDouble, alias: Percentage of mobile homes estimate MOE )
• EP_CROWD ( type: esriFieldTypeDouble, alias: Percentage of occupied housing units with more people than rooms estimate )
• MP_CROWD ( type: esriFieldTypeDouble, alias: Percentage of occupied housing units with more people than rooms estimate MOE )
• EP_NOVEH ( type: esriFieldTypeDouble, alias: Percentage of households with no vehicle available estimate )
• MP_NOVEH ( type: esriFieldTypeDouble, alias: Percentage of households with no vehicle available estimate MOE )
• EP_GROUPQ ( type: esriFieldTypeDouble, alias: Percentage of persons in group quarters estimate, 2018-2022 ACS )
• MP_GROUPQ ( type: esriFieldTypeDouble, alias: Percentage of persons in group quarters estimate MOE, 2018-2022 ACS )
• EPL_POV150 ( type: esriFieldTypeDouble, alias: Percentile percentage of persons below 150% poverty estimate )
• EPL_UNEMP ( type: esriFieldTypeDouble, alias: Percentile percentage of civilian (age 16+) unemployed estimate )
• EPL_HBURD ( type: esriFieldTypeDouble, alias: Percentile percentage of housing cost-burdened occupied housing units estimate )
• EPL_NOHSDP ( type: esriFieldTypeDouble, alias: Percentile percentage of persons with no high school diploma (age 25+) estimate )
• EPL_UNINSUR ( type: esriFieldTypeDouble, alias: Percentile percentage of uninsured estimate )
• SPL_THEME1 ( type: esriFieldTypeDouble, alias: Sum of series for Socioeconomic Status theme )
• RPL_THEME1 ( type: esriFieldTypeDouble, alias: Percentile ranking for Socioeconomic Status theme summary )
• EPL_AGE65 ( type: esriFieldTypeDouble, alias: Percentile percentage of persons aged 65 and older estimate )
• EPL_AGE17 ( type: esriFieldTypeDouble, alias: Percentile percentage of persons aged 17 and younger estimate )
• EPL_DISABL ( type: esriFieldTypeDouble, alias: Percentile percentage of civilian noninstitutionalized population with a disability estimate )
• EPL_SNGPNT ( type: esriFieldTypeDouble, alias: Percentile percentage of single-parent households with children under 18 estimate )
• EPL_LIMENG ( type: esriFieldTypeDouble, alias: Percentile percentage of persons (age 5+) who speak English "less than well" estimate )
• SPL_THEME2 ( type: esriFieldTypeDouble, alias: Sum of series for Household Characteristics theme )
• RPL_THEME2 ( type: esriFieldTypeDouble, alias: Percentile ranking for Household Characteristics theme summary )
• EPL_MINRTY ( type: esriFieldTypeDouble, alias: Percentile percentage minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not )
• SPL_THEME3 ( type: esriFieldTypeDouble, alias: Sum of series for Racial and Ethnic Minority Status theme )
• RPL_THEME3 ( type: esriFieldTypeDouble, alias: Percentile ranking for Racial and Ethnic Minority Status theme )
• EPL_MUNIT ( type: esriFieldTypeDouble, alias: Percentile percentage housing in structures with 10 or more units estimate )
• EPL_MOBILE ( type: esriFieldTypeDouble, alias: Percentile percentage mobile homes estimate )
• EPL_CROWD ( type: esriFieldTypeDouble, alias: Percentile percentage households with more people than rooms estimate )
• EPL_NOVEH ( type: esriFieldTypeDouble, alias: Percentile percentage households with no vehicle available estimate )
• EPL_GROUPQ ( type: esriFieldTypeDouble, alias: Percentile percentage of persons in group quarters estimate )
• SPL_THEME4 ( type: esriFieldTypeDouble, alias: Sum of series for Housing Type/ Transportation theme )
• RPL_THEME4 ( type: esriFieldTypeDouble, alias: Percentile ranking for Housing Type/ Transportation theme )
• SPL_THEMES ( type: esriFieldTypeDouble, alias: Sum of series themes )
• RPL_THEMES ( type: esriFieldTypeDouble, alias: Overall percentile ranking )
• F_POV150 ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons below 150% poverty is in the 90th percentile (1 = yes, 0 = no) )
• F_UNEMP ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of civilian unemployed is in the 90th percentile (1 = yes, 0 = no) )
• F_HBURD ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of housing cost-burdened occupied housing units is in the 90th percentile (1 = yes, 0 = no) )
• F_NOHSDP ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons with no high school diploma is in the 90th percentile (1 = yes, 0 = no) )
• F_UNINSUR ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of uninsured is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME1 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Socioeconomic Status theme )
• F_AGE65 ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons aged 65 and older is in the 90th percentile (1 = yes, 0 = no) )
• F_AGE17 ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons aged 17 and younger is in the 90th percentile (1 = yes, 0 = no) )
• F_DISABL ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons with a disability is in the 90th percentile (1 = yes, 0 = no) )
• F_SNGPNT ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of single-parent households is in the 90th percentile (1 = yes, 0 = no) )
• F_LIMENG ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage those with limited English is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME2 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Household Characteristics theme )
• F_MINRTY ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of minority is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME3 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Racial and Ethnic Minority Status theme )
• F_MUNIT ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of households in multi-unit housing is in the 90th percentile (1 = yes, 0 = no) )
• F_MOBILE ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of mobile homes is in the 90th percentile (1 = yes, 0 = no) )
• F_CROWD ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of crowded households is in the 90th percentile (1 = yes, 0 = no) )
• F_NOVEH ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of households with no vehicles is in the 90th percentile (1 = yes, 0 = no) )
• F_GROUPQ ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons in group quarters is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME4 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Housing Type/ Transportation theme )
• F_TOTAL ( type: esriFieldTypeSmallInteger, alias: Sum of flags for the four themes )
• E_DAYPOP ( type: esriFieldTypeInteger, alias: Adjunct variable - Estimated daytime population, LandScan 2020 )
• E_NOINT ( type: esriFieldTypeInteger, alias: Adjunct variable - Households without a computer with a broadband Internet subscription estimate, 2018-2022 ACS )
• M_NOINT ( type: esriFieldTypeInteger, alias: Adjunct variable - Households without a computer with a broadband Internet subscription estimate MOE, 2018-2022 ACS )
• E_AFAM ( type: esriFieldTypeInteger, alias: Adjunct variable - Black/African American, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_AFAM ( type: esriFieldTypeInteger, alias: Adjunct variable - Black/African American, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_HISP ( type: esriFieldTypeInteger, alias: Adjunct variable – Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_HISP ( type: esriFieldTypeInteger, alias: Adjunct variable – Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_ASIAN ( type: esriFieldTypeInteger, alias: Adjunct variable – Asian, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_ASIAN ( type: esriFieldTypeInteger, alias: Adjunct variable – Asian, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_AIAN ( type: esriFieldTypeInteger, alias: Adjunct variable - American Indian or Alaska Native, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_AIAN ( type: esriFieldTypeInteger, alias: Adjunct variable - American Indian or Alaska Native, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_NHPI ( type: esriFieldTypeInteger, alias: Adjunct variable - Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_NHPI ( type: esriFieldTypeInteger, alias: Adjunct variable - Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_TWOMORE ( type: esriFieldTypeInteger, alias: Adjunct variable - Two or more races, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_TWOMORE ( type: esriFieldTypeInteger, alias: Adjunct variable - Two or more races, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_OTHERRACE ( type: esriFieldTypeInteger, alias: Adjunct variable - Some other race, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_OTHERRACE ( type: esriFieldTypeInteger, alias: Adjunct variable - Some other race, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_NOINT ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of households without a computer with a broadband Internet subscription estimate, 2018-2022 ACS )
• MP_NOINT ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of households without a computer with a broadband Internet subscription estimate MOE, 2018-2022 ACS )
• EP_AFAM ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Black/African American, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_AFAM ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Black/African American, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_HISP ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_HISP ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_ASIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Asian, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_ASIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Asian, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_AIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of American Indian or Alaska Native, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_AIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of American Indian or Alaska Native, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_NHPI ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_NHPI ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_TWOMORE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of two or more races, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_TWOMORE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of two or more races, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_OTHERRACE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of some other race, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_OTHERRACE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of some other race, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• GRASP_ID ( type: esriFieldTypeOID, alias: GRASP_ID )
• SHAPE ( type: esriFieldTypeGeometry, alias: SHAPE )
• SHAPE.STArea() ( type: esriFieldTypeDouble, alias: SHAPE.STArea() )
• SHAPE.STLength() ( type: esriFieldTypeDouble, alias: SHAPE.STLength() )

Layer: SVI2022 US tract - Theme 1 (5)

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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></DIV></DIV></DIV>

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Fields:
• ST ( type: esriFieldTypeString, alias: State-level FIPS code, length: 2 )
• STATE ( type: esriFieldTypeString, alias: State name, length: 255 )
• ST_ABBR ( type: esriFieldTypeString, alias: State abbreviation, length: 2 )
• STCNTY ( type: esriFieldTypeString, alias: County-level FIPS code, length: 5 )
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• AREA_SQMI ( type: esriFieldTypeDouble, alias: Tract area in square miles )
• E_TOTPOP ( type: esriFieldTypeInteger, alias: Population estimate, 2018-2022 ACS )
• M_TOTPOP ( type: esriFieldTypeInteger, alias: Population estimate MOE, 2018-2022 ACS )
• E_HU ( type: esriFieldTypeInteger, alias: Housing units estimate, 2018-2022 ACS )
• M_HU ( type: esriFieldTypeInteger, alias: Housing units estimate MOE, 2018-2022 ACS )
• E_HH ( type: esriFieldTypeInteger, alias: Households estimate, 2018-2022 ACS )
• M_HH ( type: esriFieldTypeInteger, alias: Households estimate MOE, 2018-2022 ACS )
• E_POV150 ( type: esriFieldTypeInteger, alias: Persons below 150% poverty estimate, 2018-2022 ACS )
• M_POV150 ( type: esriFieldTypeInteger, alias: Persons below 150% poverty estimate MOE, 2018-2022 ACS )
• E_UNEMP ( type: esriFieldTypeInteger, alias: Civilian (age 16+) unemployed estimate, 2018-2022 ACS )
• M_UNEMP ( type: esriFieldTypeInteger, alias: Civilian (age 16+) unemployed estimate MOE, 2018-2022 ACS )
• 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, 2018-2022 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, 2018-2022 ACS )
• E_NOHSDP ( type: esriFieldTypeInteger, alias: Persons (age 25+) with no high school diploma estimate, 2018-2022 ACS )
• M_NOHSDP ( type: esriFieldTypeInteger, alias: Persons (age 25+) with no high school diploma estimate MOE, 2018-2022 ACS )
• E_UNINSUR ( type: esriFieldTypeInteger, alias: Uninsured in the total civilian noninstitutionalized population estimate, 2018-2022 ACS )
• M_UNINSUR ( type: esriFieldTypeInteger, alias: Uninsured in the total civilian noninstitutionalized population estimate MOE, 2018-2022 ACS )
• E_AGE65 ( type: esriFieldTypeInteger, alias: Persons aged 65 and older estimate, 2018-2022 ACS )
• M_AGE65 ( type: esriFieldTypeInteger, alias: Persons aged 65 and older estimate MOE, 2018-2022 ACS )
• E_AGE17 ( type: esriFieldTypeInteger, alias: Persons aged 17 and younger estimate, 2018-2022 ACS )
• M_AGE17 ( type: esriFieldTypeInteger, alias: Persons aged 17 and younger estimate MOE, 2018-2022 ACS )
• E_DISABL ( type: esriFieldTypeInteger, alias: Civilian noninstitutionalized population with a disability estimate, 2018-2022 ACS )
• M_DISABL ( type: esriFieldTypeInteger, alias: Civilian noninstitutionalized population with a disability estimate MOE, 2018-2022 ACS )
• E_SNGPNT ( type: esriFieldTypeInteger, alias: Single-parent household with children under 18 estimate, 2018-2022 ACS )
• M_SNGPNT ( type: esriFieldTypeInteger, alias: Single-parent household with children under 18 estimate MOE, 2018-2022 ACS )
• E_LIMENG ( type: esriFieldTypeInteger, alias: Persons (age 5+) who speak English "less than well" estimate, 2018-2022 ACS )
• M_LIMENG ( type: esriFieldTypeInteger, alias: Persons (age 5+) who speak English "less than well" estimate MOE, 2018-2022 ACS )
• E_MINRTY ( type: esriFieldTypeInteger, alias: Minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic or Latino; T )
• M_MINRTY ( type: esriFieldTypeInteger, alias: Minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic or Latino; T )
• E_MUNIT ( type: esriFieldTypeInteger, alias: Housing in structures with 10 or more units estimate, 2018-2022 ACS )
• M_MUNIT ( type: esriFieldTypeInteger, alias: Housing in structures with 10 or more units estimate MOE, 2018-2022 ACS )
• E_MOBILE ( type: esriFieldTypeInteger, alias: Mobile homes estimate, 2018-2022 ACS )
• M_MOBILE ( type: esriFieldTypeInteger, alias: Mobile homes estimate MOE, 2018-2022 ACS )
• E_CROWD ( type: esriFieldTypeInteger, alias: At household level (occupied housing units), more people than rooms estimate, 2018-2022 ACS )
• M_CROWD ( type: esriFieldTypeInteger, alias: At household level (occupied housing units), more people than rooms estimate MOE, 2018-2022 ACS )
• E_NOVEH ( type: esriFieldTypeInteger, alias: Households with no vehicle available estimate, 2018-2022 ACS )
• M_NOVEH ( type: esriFieldTypeInteger, alias: Households with no vehicle available estimate MOE, 2018-2022 ACS )
• E_GROUPQ ( type: esriFieldTypeInteger, alias: Persons in group quarters estimate, 2018-2022 ACS )
• M_GROUPQ ( type: esriFieldTypeInteger, alias: Persons in group quarters estimate MOE, 2018-2022 ACS )
• EP_POV150 ( type: esriFieldTypeDouble, alias: Percentage of persons below 150% poverty estimate )
• MP_POV150 ( type: esriFieldTypeDouble, alias: Percentage of persons below 150% poverty estimate MOE )
• EP_UNEMP ( type: esriFieldTypeDouble, alias: Unemployment Rate estimate )
• MP_UNEMP ( type: esriFieldTypeDouble, alias: Unemployment Rate estimate MOE )
• EP_HBURD ( type: esriFieldTypeDouble, alias: Percentage of housing cost-burdened occupied housing units with annual income less than $75,000 (30%+ of income spent on housing costs) estimate, 2018-2022 ACS estimate, 2018-2022 ACS )
• MP_HBURD ( type: esriFieldTypeDouble, alias: Percentage of housing cost-burdened occupied housing units with annual income less than $75,000 (30%+ of income spent on housing costs) estimate MOE, 2018-2022 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 (25+) estimate MOE )
• EP_UNINSUR ( type: esriFieldTypeDouble, alias: Percentage uninsured in the total civilian noninstitutionalized population estimate, 2018-2022 ACS )
• MP_UNINSUR ( type: esriFieldTypeDouble, alias: Percentage uninsured in the total civilian noninstitutionalized population estimate MOE, 2018-2022 ACS )
• EP_AGE65 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 65 and older estimate, 2018-2022 ACS )
• MP_AGE65 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 65 and older estimate MOE, 2018-2022 ACS )
• EP_AGE17 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 17 and younger estimate, 2018-2022 ACS )
• MP_AGE17 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 17 and younger estimate MOE, 2018-2022 ACS )
• EP_DISABL ( type: esriFieldTypeDouble, alias: Percentage of civilian noninstitutionalized population with a disability estimate, 2018-2022 ACS )
• MP_DISABL ( type: esriFieldTypeDouble, alias: Percentage of civilian noninstitutionalized population with a disability estimate MOE, 2018-2022 ACS )
• EP_SNGPNT ( type: esriFieldTypeDouble, alias: Percentage of single-parent households with children under 18 estimate, 2018-2022 ACS )
• MP_SNGPNT ( type: esriFieldTypeDouble, alias: Percentage of single-parent households with children under 18 estimate MOE, 2018-2022 ACS )
• EP_LIMENG ( type: esriFieldTypeDouble, alias: Percentage of persons (age 5+) who speak English "less than well" estimate, 2018-2022 ACS )
• MP_LIMENG ( type: esriFieldTypeDouble, alias: Percentage of persons (age 5+) who speak English "less than well" estimate MOE, 2018-2022 ACS )
• EP_MINRTY ( type: esriFieldTypeDouble, alias: Percentage minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic o )
• MP_MINRTY ( type: esriFieldTypeDouble, alias: Percentage minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic o )
• EP_MUNIT ( type: esriFieldTypeDouble, alias: Percentage of housing in structures with 10 or more units estimate )
• MP_MUNIT ( type: esriFieldTypeDouble, alias: Percentage of housing in structures with 10 or more units estimate MOE )
• EP_MOBILE ( type: esriFieldTypeDouble, alias: Percentage of mobile homes estimate )
• MP_MOBILE ( type: esriFieldTypeDouble, alias: Percentage of mobile homes estimate MOE )
• EP_CROWD ( type: esriFieldTypeDouble, alias: Percentage of occupied housing units with more people than rooms estimate )
• MP_CROWD ( type: esriFieldTypeDouble, alias: Percentage of occupied housing units with more people than rooms estimate MOE )
• EP_NOVEH ( type: esriFieldTypeDouble, alias: Percentage of households with no vehicle available estimate )
• MP_NOVEH ( type: esriFieldTypeDouble, alias: Percentage of households with no vehicle available estimate MOE )
• EP_GROUPQ ( type: esriFieldTypeDouble, alias: Percentage of persons in group quarters estimate, 2018-2022 ACS )
• MP_GROUPQ ( type: esriFieldTypeDouble, alias: Percentage of persons in group quarters estimate MOE, 2018-2022 ACS )
• EPL_POV150 ( type: esriFieldTypeDouble, alias: Percentile percentage of persons below 150% poverty estimate )
• EPL_UNEMP ( type: esriFieldTypeDouble, alias: Percentile percentage of civilian (age 16+) unemployed estimate )
• EPL_HBURD ( type: esriFieldTypeDouble, alias: Percentile percentage of housing cost-burdened occupied housing units estimate )
• EPL_NOHSDP ( type: esriFieldTypeDouble, alias: Percentile percentage of persons with no high school diploma (age 25+) estimate )
• EPL_UNINSUR ( type: esriFieldTypeDouble, alias: Percentile percentage of uninsured estimate )
• SPL_THEME1 ( type: esriFieldTypeDouble, alias: Sum of series for Socioeconomic Status theme )
• RPL_THEME1 ( type: esriFieldTypeDouble, alias: Percentile ranking for Socioeconomic Status theme summary )
• EPL_AGE65 ( type: esriFieldTypeDouble, alias: Percentile percentage of persons aged 65 and older estimate )
• EPL_AGE17 ( type: esriFieldTypeDouble, alias: Percentile percentage of persons aged 17 and younger estimate )
• EPL_DISABL ( type: esriFieldTypeDouble, alias: Percentile percentage of civilian noninstitutionalized population with a disability estimate )
• EPL_SNGPNT ( type: esriFieldTypeDouble, alias: Percentile percentage of single-parent households with children under 18 estimate )
• EPL_LIMENG ( type: esriFieldTypeDouble, alias: Percentile percentage of persons (age 5+) who speak English "less than well" estimate )
• SPL_THEME2 ( type: esriFieldTypeDouble, alias: Sum of series for Household Characteristics theme )
• RPL_THEME2 ( type: esriFieldTypeDouble, alias: Percentile ranking for Household Characteristics theme summary )
• EPL_MINRTY ( type: esriFieldTypeDouble, alias: Percentile percentage minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not )
• SPL_THEME3 ( type: esriFieldTypeDouble, alias: Sum of series for Racial and Ethnic Minority Status theme )
• RPL_THEME3 ( type: esriFieldTypeDouble, alias: Percentile ranking for Racial and Ethnic Minority Status theme )
• EPL_MUNIT ( type: esriFieldTypeDouble, alias: Percentile percentage housing in structures with 10 or more units estimate )
• EPL_MOBILE ( type: esriFieldTypeDouble, alias: Percentile percentage mobile homes estimate )
• EPL_CROWD ( type: esriFieldTypeDouble, alias: Percentile percentage households with more people than rooms estimate )
• EPL_NOVEH ( type: esriFieldTypeDouble, alias: Percentile percentage households with no vehicle available estimate )
• EPL_GROUPQ ( type: esriFieldTypeDouble, alias: Percentile percentage of persons in group quarters estimate )
• SPL_THEME4 ( type: esriFieldTypeDouble, alias: Sum of series for Housing Type/ Transportation theme )
• RPL_THEME4 ( type: esriFieldTypeDouble, alias: Percentile ranking for Housing Type/ Transportation theme )
• SPL_THEMES ( type: esriFieldTypeDouble, alias: Sum of series themes )
• RPL_THEMES ( type: esriFieldTypeDouble, alias: Overall percentile ranking )
• F_POV150 ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons below 150% poverty is in the 90th percentile (1 = yes, 0 = no) )
• F_UNEMP ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of civilian unemployed is in the 90th percentile (1 = yes, 0 = no) )
• F_HBURD ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of housing cost-burdened occupied housing units is in the 90th percentile (1 = yes, 0 = no) )
• F_NOHSDP ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons with no high school diploma is in the 90th percentile (1 = yes, 0 = no) )
• F_UNINSUR ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of uninsured is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME1 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Socioeconomic Status theme )
• F_AGE65 ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons aged 65 and older is in the 90th percentile (1 = yes, 0 = no) )
• F_AGE17 ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons aged 17 and younger is in the 90th percentile (1 = yes, 0 = no) )
• F_DISABL ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons with a disability is in the 90th percentile (1 = yes, 0 = no) )
• F_SNGPNT ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of single-parent households is in the 90th percentile (1 = yes, 0 = no) )
• F_LIMENG ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage those with limited English is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME2 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Household Characteristics theme )
• F_MINRTY ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of minority is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME3 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Racial and Ethnic Minority Status theme )
• F_MUNIT ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of households in multi-unit housing is in the 90th percentile (1 = yes, 0 = no) )
• F_MOBILE ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of mobile homes is in the 90th percentile (1 = yes, 0 = no) )
• F_CROWD ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of crowded households is in the 90th percentile (1 = yes, 0 = no) )
• F_NOVEH ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of households with no vehicles is in the 90th percentile (1 = yes, 0 = no) )
• F_GROUPQ ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons in group quarters is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME4 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Housing Type/ Transportation theme )
• F_TOTAL ( type: esriFieldTypeSmallInteger, alias: Sum of flags for the four themes )
• E_DAYPOP ( type: esriFieldTypeInteger, alias: Adjunct variable - Estimated daytime population, LandScan 2020 )
• E_NOINT ( type: esriFieldTypeInteger, alias: Adjunct variable - Households without a computer with a broadband Internet subscription estimate, 2018-2022 ACS )
• M_NOINT ( type: esriFieldTypeInteger, alias: Adjunct variable - Households without a computer with a broadband Internet subscription estimate MOE, 2018-2022 ACS )
• E_AFAM ( type: esriFieldTypeInteger, alias: Adjunct variable - Black/African American, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_AFAM ( type: esriFieldTypeInteger, alias: Adjunct variable - Black/African American, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_HISP ( type: esriFieldTypeInteger, alias: Adjunct variable – Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_HISP ( type: esriFieldTypeInteger, alias: Adjunct variable – Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_ASIAN ( type: esriFieldTypeInteger, alias: Adjunct variable – Asian, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_ASIAN ( type: esriFieldTypeInteger, alias: Adjunct variable – Asian, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_AIAN ( type: esriFieldTypeInteger, alias: Adjunct variable - American Indian or Alaska Native, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_AIAN ( type: esriFieldTypeInteger, alias: Adjunct variable - American Indian or Alaska Native, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_NHPI ( type: esriFieldTypeInteger, alias: Adjunct variable - Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_NHPI ( type: esriFieldTypeInteger, alias: Adjunct variable - Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_TWOMORE ( type: esriFieldTypeInteger, alias: Adjunct variable - Two or more races, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_TWOMORE ( type: esriFieldTypeInteger, alias: Adjunct variable - Two or more races, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_OTHERRACE ( type: esriFieldTypeInteger, alias: Adjunct variable - Some other race, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_OTHERRACE ( type: esriFieldTypeInteger, alias: Adjunct variable - Some other race, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_NOINT ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of households without a computer with a broadband Internet subscription estimate, 2018-2022 ACS )
• MP_NOINT ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of households without a computer with a broadband Internet subscription estimate MOE, 2018-2022 ACS )
• EP_AFAM ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Black/African American, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_AFAM ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Black/African American, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_HISP ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_HISP ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_ASIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Asian, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_ASIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Asian, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_AIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of American Indian or Alaska Native, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_AIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of American Indian or Alaska Native, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_NHPI ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_NHPI ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_TWOMORE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of two or more races, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_TWOMORE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of two or more races, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_OTHERRACE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of some other race, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_OTHERRACE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of some other race, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• GRASP_ID ( type: esriFieldTypeOID, alias: GRASP_ID )
• SHAPE ( type: esriFieldTypeGeometry, alias: SHAPE )
• SHAPE.STArea() ( type: esriFieldTypeDouble, alias: SHAPE.STArea() )
• SHAPE.STLength() ( type: esriFieldTypeDouble, alias: SHAPE.STLength() )

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Sub Layers:
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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></DIV></DIV></DIV>

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Fields:
• ST ( type: esriFieldTypeString, alias: State-level FIPS code, length: 2 )
• STATE ( type: esriFieldTypeString, alias: State name, length: 255 )
• ST_ABBR ( type: esriFieldTypeString, alias: State abbreviation, length: 2 )
• STCNTY ( type: esriFieldTypeString, alias: County-level FIPS code, length: 5 )
• COUNTY ( type: esriFieldTypeString, alias: County name, length: 255 )
• FIPS ( type: esriFieldTypeString, alias: Tract-level FIPS code, length: 30 )
• LOCATION ( type: esriFieldTypeString, alias: Text description of tract, county, state, length: 255 )
• AREA_SQMI ( type: esriFieldTypeDouble, alias: Tract area in square miles )
• E_TOTPOP ( type: esriFieldTypeInteger, alias: Population estimate, 2018-2022 ACS )
• M_TOTPOP ( type: esriFieldTypeInteger, alias: Population estimate MOE, 2018-2022 ACS )
• E_HU ( type: esriFieldTypeInteger, alias: Housing units estimate, 2018-2022 ACS )
• M_HU ( type: esriFieldTypeInteger, alias: Housing units estimate MOE, 2018-2022 ACS )
• E_HH ( type: esriFieldTypeInteger, alias: Households estimate, 2018-2022 ACS )
• M_HH ( type: esriFieldTypeInteger, alias: Households estimate MOE, 2018-2022 ACS )
• E_POV150 ( type: esriFieldTypeInteger, alias: Persons below 150% poverty estimate, 2018-2022 ACS )
• M_POV150 ( type: esriFieldTypeInteger, alias: Persons below 150% poverty estimate MOE, 2018-2022 ACS )
• E_UNEMP ( type: esriFieldTypeInteger, alias: Civilian (age 16+) unemployed estimate, 2018-2022 ACS )
• M_UNEMP ( type: esriFieldTypeInteger, alias: Civilian (age 16+) unemployed estimate MOE, 2018-2022 ACS )
• 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, 2018-2022 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, 2018-2022 ACS )
• E_NOHSDP ( type: esriFieldTypeInteger, alias: Persons (age 25+) with no high school diploma estimate, 2018-2022 ACS )
• M_NOHSDP ( type: esriFieldTypeInteger, alias: Persons (age 25+) with no high school diploma estimate MOE, 2018-2022 ACS )
• E_UNINSUR ( type: esriFieldTypeInteger, alias: Uninsured in the total civilian noninstitutionalized population estimate, 2018-2022 ACS )
• M_UNINSUR ( type: esriFieldTypeInteger, alias: Uninsured in the total civilian noninstitutionalized population estimate MOE, 2018-2022 ACS )
• E_AGE65 ( type: esriFieldTypeInteger, alias: Persons aged 65 and older estimate, 2018-2022 ACS )
• M_AGE65 ( type: esriFieldTypeInteger, alias: Persons aged 65 and older estimate MOE, 2018-2022 ACS )
• E_AGE17 ( type: esriFieldTypeInteger, alias: Persons aged 17 and younger estimate, 2018-2022 ACS )
• M_AGE17 ( type: esriFieldTypeInteger, alias: Persons aged 17 and younger estimate MOE, 2018-2022 ACS )
• E_DISABL ( type: esriFieldTypeInteger, alias: Civilian noninstitutionalized population with a disability estimate, 2018-2022 ACS )
• M_DISABL ( type: esriFieldTypeInteger, alias: Civilian noninstitutionalized population with a disability estimate MOE, 2018-2022 ACS )
• E_SNGPNT ( type: esriFieldTypeInteger, alias: Single-parent household with children under 18 estimate, 2018-2022 ACS )
• M_SNGPNT ( type: esriFieldTypeInteger, alias: Single-parent household with children under 18 estimate MOE, 2018-2022 ACS )
• E_LIMENG ( type: esriFieldTypeInteger, alias: Persons (age 5+) who speak English "less than well" estimate, 2018-2022 ACS )
• M_LIMENG ( type: esriFieldTypeInteger, alias: Persons (age 5+) who speak English "less than well" estimate MOE, 2018-2022 ACS )
• E_MINRTY ( type: esriFieldTypeInteger, alias: Minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic or Latino; T )
• M_MINRTY ( type: esriFieldTypeInteger, alias: Minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic or Latino; T )
• E_MUNIT ( type: esriFieldTypeInteger, alias: Housing in structures with 10 or more units estimate, 2018-2022 ACS )
• M_MUNIT ( type: esriFieldTypeInteger, alias: Housing in structures with 10 or more units estimate MOE, 2018-2022 ACS )
• E_MOBILE ( type: esriFieldTypeInteger, alias: Mobile homes estimate, 2018-2022 ACS )
• M_MOBILE ( type: esriFieldTypeInteger, alias: Mobile homes estimate MOE, 2018-2022 ACS )
• E_CROWD ( type: esriFieldTypeInteger, alias: At household level (occupied housing units), more people than rooms estimate, 2018-2022 ACS )
• M_CROWD ( type: esriFieldTypeInteger, alias: At household level (occupied housing units), more people than rooms estimate MOE, 2018-2022 ACS )
• E_NOVEH ( type: esriFieldTypeInteger, alias: Households with no vehicle available estimate, 2018-2022 ACS )
• M_NOVEH ( type: esriFieldTypeInteger, alias: Households with no vehicle available estimate MOE, 2018-2022 ACS )
• E_GROUPQ ( type: esriFieldTypeInteger, alias: Persons in group quarters estimate, 2018-2022 ACS )
• M_GROUPQ ( type: esriFieldTypeInteger, alias: Persons in group quarters estimate MOE, 2018-2022 ACS )
• EP_POV150 ( type: esriFieldTypeDouble, alias: Percentage of persons below 150% poverty estimate )
• MP_POV150 ( type: esriFieldTypeDouble, alias: Percentage of persons below 150% poverty estimate MOE )
• EP_UNEMP ( type: esriFieldTypeDouble, alias: Unemployment Rate estimate )
• MP_UNEMP ( type: esriFieldTypeDouble, alias: Unemployment Rate estimate MOE )
• EP_HBURD ( type: esriFieldTypeDouble, alias: Percentage of housing cost-burdened occupied housing units with annual income less than $75,000 (30%+ of income spent on housing costs) estimate, 2018-2022 ACS estimate, 2018-2022 ACS )
• MP_HBURD ( type: esriFieldTypeDouble, alias: Percentage of housing cost-burdened occupied housing units with annual income less than $75,000 (30%+ of income spent on housing costs) estimate MOE, 2018-2022 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 (25+) estimate MOE )
• EP_UNINSUR ( type: esriFieldTypeDouble, alias: Percentage uninsured in the total civilian noninstitutionalized population estimate, 2018-2022 ACS )
• MP_UNINSUR ( type: esriFieldTypeDouble, alias: Percentage uninsured in the total civilian noninstitutionalized population estimate MOE, 2018-2022 ACS )
• EP_AGE65 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 65 and older estimate, 2018-2022 ACS )
• MP_AGE65 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 65 and older estimate MOE, 2018-2022 ACS )
• EP_AGE17 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 17 and younger estimate, 2018-2022 ACS )
• MP_AGE17 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 17 and younger estimate MOE, 2018-2022 ACS )
• EP_DISABL ( type: esriFieldTypeDouble, alias: Percentage of civilian noninstitutionalized population with a disability estimate, 2018-2022 ACS )
• MP_DISABL ( type: esriFieldTypeDouble, alias: Percentage of civilian noninstitutionalized population with a disability estimate MOE, 2018-2022 ACS )
• EP_SNGPNT ( type: esriFieldTypeDouble, alias: Percentage of single-parent households with children under 18 estimate, 2018-2022 ACS )
• MP_SNGPNT ( type: esriFieldTypeDouble, alias: Percentage of single-parent households with children under 18 estimate MOE, 2018-2022 ACS )
• EP_LIMENG ( type: esriFieldTypeDouble, alias: Percentage of persons (age 5+) who speak English "less than well" estimate, 2018-2022 ACS )
• MP_LIMENG ( type: esriFieldTypeDouble, alias: Percentage of persons (age 5+) who speak English "less than well" estimate MOE, 2018-2022 ACS )
• EP_MINRTY ( type: esriFieldTypeDouble, alias: Percentage minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic o )
• MP_MINRTY ( type: esriFieldTypeDouble, alias: Percentage minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic o )
• EP_MUNIT ( type: esriFieldTypeDouble, alias: Percentage of housing in structures with 10 or more units estimate )
• MP_MUNIT ( type: esriFieldTypeDouble, alias: Percentage of housing in structures with 10 or more units estimate MOE )
• EP_MOBILE ( type: esriFieldTypeDouble, alias: Percentage of mobile homes estimate )
• MP_MOBILE ( type: esriFieldTypeDouble, alias: Percentage of mobile homes estimate MOE )
• EP_CROWD ( type: esriFieldTypeDouble, alias: Percentage of occupied housing units with more people than rooms estimate )
• MP_CROWD ( type: esriFieldTypeDouble, alias: Percentage of occupied housing units with more people than rooms estimate MOE )
• EP_NOVEH ( type: esriFieldTypeDouble, alias: Percentage of households with no vehicle available estimate )
• MP_NOVEH ( type: esriFieldTypeDouble, alias: Percentage of households with no vehicle available estimate MOE )
• EP_GROUPQ ( type: esriFieldTypeDouble, alias: Percentage of persons in group quarters estimate, 2018-2022 ACS )
• MP_GROUPQ ( type: esriFieldTypeDouble, alias: Percentage of persons in group quarters estimate MOE, 2018-2022 ACS )
• EPL_POV150 ( type: esriFieldTypeDouble, alias: Percentile percentage of persons below 150% poverty estimate )
• EPL_UNEMP ( type: esriFieldTypeDouble, alias: Percentile percentage of civilian (age 16+) unemployed estimate )
• EPL_HBURD ( type: esriFieldTypeDouble, alias: Percentile percentage of housing cost-burdened occupied housing units estimate )
• EPL_NOHSDP ( type: esriFieldTypeDouble, alias: Percentile percentage of persons with no high school diploma (age 25+) estimate )
• EPL_UNINSUR ( type: esriFieldTypeDouble, alias: Percentile percentage of uninsured estimate )
• SPL_THEME1 ( type: esriFieldTypeDouble, alias: Sum of series for Socioeconomic Status theme )
• RPL_THEME1 ( type: esriFieldTypeDouble, alias: Percentile ranking for Socioeconomic Status theme summary )
• EPL_AGE65 ( type: esriFieldTypeDouble, alias: Percentile percentage of persons aged 65 and older estimate )
• EPL_AGE17 ( type: esriFieldTypeDouble, alias: Percentile percentage of persons aged 17 and younger estimate )
• EPL_DISABL ( type: esriFieldTypeDouble, alias: Percentile percentage of civilian noninstitutionalized population with a disability estimate )
• EPL_SNGPNT ( type: esriFieldTypeDouble, alias: Percentile percentage of single-parent households with children under 18 estimate )
• EPL_LIMENG ( type: esriFieldTypeDouble, alias: Percentile percentage of persons (age 5+) who speak English "less than well" estimate )
• SPL_THEME2 ( type: esriFieldTypeDouble, alias: Sum of series for Household Characteristics theme )
• RPL_THEME2 ( type: esriFieldTypeDouble, alias: Percentile ranking for Household Characteristics theme summary )
• EPL_MINRTY ( type: esriFieldTypeDouble, alias: Percentile percentage minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not )
• SPL_THEME3 ( type: esriFieldTypeDouble, alias: Sum of series for Racial and Ethnic Minority Status theme )
• RPL_THEME3 ( type: esriFieldTypeDouble, alias: Percentile ranking for Racial and Ethnic Minority Status theme )
• EPL_MUNIT ( type: esriFieldTypeDouble, alias: Percentile percentage housing in structures with 10 or more units estimate )
• EPL_MOBILE ( type: esriFieldTypeDouble, alias: Percentile percentage mobile homes estimate )
• EPL_CROWD ( type: esriFieldTypeDouble, alias: Percentile percentage households with more people than rooms estimate )
• EPL_NOVEH ( type: esriFieldTypeDouble, alias: Percentile percentage households with no vehicle available estimate )
• EPL_GROUPQ ( type: esriFieldTypeDouble, alias: Percentile percentage of persons in group quarters estimate )
• SPL_THEME4 ( type: esriFieldTypeDouble, alias: Sum of series for Housing Type/ Transportation theme )
• RPL_THEME4 ( type: esriFieldTypeDouble, alias: Percentile ranking for Housing Type/ Transportation theme )
• SPL_THEMES ( type: esriFieldTypeDouble, alias: Sum of series themes )
• RPL_THEMES ( type: esriFieldTypeDouble, alias: Overall percentile ranking )
• F_POV150 ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons below 150% poverty is in the 90th percentile (1 = yes, 0 = no) )
• F_UNEMP ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of civilian unemployed is in the 90th percentile (1 = yes, 0 = no) )
• F_HBURD ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of housing cost-burdened occupied housing units is in the 90th percentile (1 = yes, 0 = no) )
• F_NOHSDP ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons with no high school diploma is in the 90th percentile (1 = yes, 0 = no) )
• F_UNINSUR ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of uninsured is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME1 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Socioeconomic Status theme )
• F_AGE65 ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons aged 65 and older is in the 90th percentile (1 = yes, 0 = no) )
• F_AGE17 ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons aged 17 and younger is in the 90th percentile (1 = yes, 0 = no) )
• F_DISABL ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons with a disability is in the 90th percentile (1 = yes, 0 = no) )
• F_SNGPNT ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of single-parent households is in the 90th percentile (1 = yes, 0 = no) )
• F_LIMENG ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage those with limited English is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME2 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Household Characteristics theme )
• F_MINRTY ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of minority is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME3 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Racial and Ethnic Minority Status theme )
• F_MUNIT ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of households in multi-unit housing is in the 90th percentile (1 = yes, 0 = no) )
• F_MOBILE ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of mobile homes is in the 90th percentile (1 = yes, 0 = no) )
• F_CROWD ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of crowded households is in the 90th percentile (1 = yes, 0 = no) )
• F_NOVEH ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of households with no vehicles is in the 90th percentile (1 = yes, 0 = no) )
• F_GROUPQ ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons in group quarters is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME4 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Housing Type/ Transportation theme )
• F_TOTAL ( type: esriFieldTypeSmallInteger, alias: Sum of flags for the four themes )
• E_DAYPOP ( type: esriFieldTypeInteger, alias: Adjunct variable - Estimated daytime population, LandScan 2020 )
• E_NOINT ( type: esriFieldTypeInteger, alias: Adjunct variable - Households without a computer with a broadband Internet subscription estimate, 2018-2022 ACS )
• M_NOINT ( type: esriFieldTypeInteger, alias: Adjunct variable - Households without a computer with a broadband Internet subscription estimate MOE, 2018-2022 ACS )
• E_AFAM ( type: esriFieldTypeInteger, alias: Adjunct variable - Black/African American, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_AFAM ( type: esriFieldTypeInteger, alias: Adjunct variable - Black/African American, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_HISP ( type: esriFieldTypeInteger, alias: Adjunct variable – Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_HISP ( type: esriFieldTypeInteger, alias: Adjunct variable – Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_ASIAN ( type: esriFieldTypeInteger, alias: Adjunct variable – Asian, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_ASIAN ( type: esriFieldTypeInteger, alias: Adjunct variable – Asian, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_AIAN ( type: esriFieldTypeInteger, alias: Adjunct variable - American Indian or Alaska Native, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_AIAN ( type: esriFieldTypeInteger, alias: Adjunct variable - American Indian or Alaska Native, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_NHPI ( type: esriFieldTypeInteger, alias: Adjunct variable - Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_NHPI ( type: esriFieldTypeInteger, alias: Adjunct variable - Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_TWOMORE ( type: esriFieldTypeInteger, alias: Adjunct variable - Two or more races, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_TWOMORE ( type: esriFieldTypeInteger, alias: Adjunct variable - Two or more races, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_OTHERRACE ( type: esriFieldTypeInteger, alias: Adjunct variable - Some other race, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_OTHERRACE ( type: esriFieldTypeInteger, alias: Adjunct variable - Some other race, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_NOINT ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of households without a computer with a broadband Internet subscription estimate, 2018-2022 ACS )
• MP_NOINT ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of households without a computer with a broadband Internet subscription estimate MOE, 2018-2022 ACS )
• EP_AFAM ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Black/African American, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_AFAM ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Black/African American, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_HISP ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_HISP ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_ASIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Asian, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_ASIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Asian, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_AIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of American Indian or Alaska Native, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_AIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of American Indian or Alaska Native, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_NHPI ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_NHPI ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_TWOMORE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of two or more races, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_TWOMORE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of two or more races, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_OTHERRACE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of some other race, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_OTHERRACE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of some other race, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• GRASP_ID ( type: esriFieldTypeOID, alias: GRASP_ID )
• SHAPE ( type: esriFieldTypeGeometry, alias: SHAPE )
• SHAPE.STArea() ( type: esriFieldTypeDouble, alias: SHAPE.STArea() )
• SHAPE.STLength() ( type: esriFieldTypeDouble, alias: SHAPE.STLength() )

Layer: SVI2022 US tract - Theme 2 (8)

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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></DIV></DIV></DIV>

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Fields:
• ST ( type: esriFieldTypeString, alias: State-level FIPS code, length: 2 )
• STATE ( type: esriFieldTypeString, alias: State name, length: 255 )
• ST_ABBR ( type: esriFieldTypeString, alias: State abbreviation, length: 2 )
• STCNTY ( type: esriFieldTypeString, alias: County-level FIPS code, length: 5 )
• COUNTY ( type: esriFieldTypeString, alias: County name, length: 255 )
• FIPS ( type: esriFieldTypeString, alias: Tract-level FIPS code, length: 30 )
• LOCATION ( type: esriFieldTypeString, alias: Text description of tract, county, state, length: 255 )
• AREA_SQMI ( type: esriFieldTypeDouble, alias: Tract area in square miles )
• E_TOTPOP ( type: esriFieldTypeInteger, alias: Population estimate, 2018-2022 ACS )
• M_TOTPOP ( type: esriFieldTypeInteger, alias: Population estimate MOE, 2018-2022 ACS )
• E_HU ( type: esriFieldTypeInteger, alias: Housing units estimate, 2018-2022 ACS )
• M_HU ( type: esriFieldTypeInteger, alias: Housing units estimate MOE, 2018-2022 ACS )
• E_HH ( type: esriFieldTypeInteger, alias: Households estimate, 2018-2022 ACS )
• M_HH ( type: esriFieldTypeInteger, alias: Households estimate MOE, 2018-2022 ACS )
• E_POV150 ( type: esriFieldTypeInteger, alias: Persons below 150% poverty estimate, 2018-2022 ACS )
• M_POV150 ( type: esriFieldTypeInteger, alias: Persons below 150% poverty estimate MOE, 2018-2022 ACS )
• E_UNEMP ( type: esriFieldTypeInteger, alias: Civilian (age 16+) unemployed estimate, 2018-2022 ACS )
• M_UNEMP ( type: esriFieldTypeInteger, alias: Civilian (age 16+) unemployed estimate MOE, 2018-2022 ACS )
• 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, 2018-2022 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, 2018-2022 ACS )
• E_NOHSDP ( type: esriFieldTypeInteger, alias: Persons (age 25+) with no high school diploma estimate, 2018-2022 ACS )
• M_NOHSDP ( type: esriFieldTypeInteger, alias: Persons (age 25+) with no high school diploma estimate MOE, 2018-2022 ACS )
• E_UNINSUR ( type: esriFieldTypeInteger, alias: Uninsured in the total civilian noninstitutionalized population estimate, 2018-2022 ACS )
• M_UNINSUR ( type: esriFieldTypeInteger, alias: Uninsured in the total civilian noninstitutionalized population estimate MOE, 2018-2022 ACS )
• E_AGE65 ( type: esriFieldTypeInteger, alias: Persons aged 65 and older estimate, 2018-2022 ACS )
• M_AGE65 ( type: esriFieldTypeInteger, alias: Persons aged 65 and older estimate MOE, 2018-2022 ACS )
• E_AGE17 ( type: esriFieldTypeInteger, alias: Persons aged 17 and younger estimate, 2018-2022 ACS )
• M_AGE17 ( type: esriFieldTypeInteger, alias: Persons aged 17 and younger estimate MOE, 2018-2022 ACS )
• E_DISABL ( type: esriFieldTypeInteger, alias: Civilian noninstitutionalized population with a disability estimate, 2018-2022 ACS )
• M_DISABL ( type: esriFieldTypeInteger, alias: Civilian noninstitutionalized population with a disability estimate MOE, 2018-2022 ACS )
• E_SNGPNT ( type: esriFieldTypeInteger, alias: Single-parent household with children under 18 estimate, 2018-2022 ACS )
• M_SNGPNT ( type: esriFieldTypeInteger, alias: Single-parent household with children under 18 estimate MOE, 2018-2022 ACS )
• E_LIMENG ( type: esriFieldTypeInteger, alias: Persons (age 5+) who speak English "less than well" estimate, 2018-2022 ACS )
• M_LIMENG ( type: esriFieldTypeInteger, alias: Persons (age 5+) who speak English "less than well" estimate MOE, 2018-2022 ACS )
• E_MINRTY ( type: esriFieldTypeInteger, alias: Minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic or Latino; T )
• M_MINRTY ( type: esriFieldTypeInteger, alias: Minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic or Latino; T )
• E_MUNIT ( type: esriFieldTypeInteger, alias: Housing in structures with 10 or more units estimate, 2018-2022 ACS )
• M_MUNIT ( type: esriFieldTypeInteger, alias: Housing in structures with 10 or more units estimate MOE, 2018-2022 ACS )
• E_MOBILE ( type: esriFieldTypeInteger, alias: Mobile homes estimate, 2018-2022 ACS )
• M_MOBILE ( type: esriFieldTypeInteger, alias: Mobile homes estimate MOE, 2018-2022 ACS )
• E_CROWD ( type: esriFieldTypeInteger, alias: At household level (occupied housing units), more people than rooms estimate, 2018-2022 ACS )
• M_CROWD ( type: esriFieldTypeInteger, alias: At household level (occupied housing units), more people than rooms estimate MOE, 2018-2022 ACS )
• E_NOVEH ( type: esriFieldTypeInteger, alias: Households with no vehicle available estimate, 2018-2022 ACS )
• M_NOVEH ( type: esriFieldTypeInteger, alias: Households with no vehicle available estimate MOE, 2018-2022 ACS )
• E_GROUPQ ( type: esriFieldTypeInteger, alias: Persons in group quarters estimate, 2018-2022 ACS )
• M_GROUPQ ( type: esriFieldTypeInteger, alias: Persons in group quarters estimate MOE, 2018-2022 ACS )
• EP_POV150 ( type: esriFieldTypeDouble, alias: Percentage of persons below 150% poverty estimate )
• MP_POV150 ( type: esriFieldTypeDouble, alias: Percentage of persons below 150% poverty estimate MOE )
• EP_UNEMP ( type: esriFieldTypeDouble, alias: Unemployment Rate estimate )
• MP_UNEMP ( type: esriFieldTypeDouble, alias: Unemployment Rate estimate MOE )
• EP_HBURD ( type: esriFieldTypeDouble, alias: Percentage of housing cost-burdened occupied housing units with annual income less than $75,000 (30%+ of income spent on housing costs) estimate, 2018-2022 ACS estimate, 2018-2022 ACS )
• MP_HBURD ( type: esriFieldTypeDouble, alias: Percentage of housing cost-burdened occupied housing units with annual income less than $75,000 (30%+ of income spent on housing costs) estimate MOE, 2018-2022 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 (25+) estimate MOE )
• EP_UNINSUR ( type: esriFieldTypeDouble, alias: Percentage uninsured in the total civilian noninstitutionalized population estimate, 2018-2022 ACS )
• MP_UNINSUR ( type: esriFieldTypeDouble, alias: Percentage uninsured in the total civilian noninstitutionalized population estimate MOE, 2018-2022 ACS )
• EP_AGE65 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 65 and older estimate, 2018-2022 ACS )
• MP_AGE65 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 65 and older estimate MOE, 2018-2022 ACS )
• EP_AGE17 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 17 and younger estimate, 2018-2022 ACS )
• MP_AGE17 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 17 and younger estimate MOE, 2018-2022 ACS )
• EP_DISABL ( type: esriFieldTypeDouble, alias: Percentage of civilian noninstitutionalized population with a disability estimate, 2018-2022 ACS )
• MP_DISABL ( type: esriFieldTypeDouble, alias: Percentage of civilian noninstitutionalized population with a disability estimate MOE, 2018-2022 ACS )
• EP_SNGPNT ( type: esriFieldTypeDouble, alias: Percentage of single-parent households with children under 18 estimate, 2018-2022 ACS )
• MP_SNGPNT ( type: esriFieldTypeDouble, alias: Percentage of single-parent households with children under 18 estimate MOE, 2018-2022 ACS )
• EP_LIMENG ( type: esriFieldTypeDouble, alias: Percentage of persons (age 5+) who speak English "less than well" estimate, 2018-2022 ACS )
• MP_LIMENG ( type: esriFieldTypeDouble, alias: Percentage of persons (age 5+) who speak English "less than well" estimate MOE, 2018-2022 ACS )
• EP_MINRTY ( type: esriFieldTypeDouble, alias: Percentage minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic o )
• MP_MINRTY ( type: esriFieldTypeDouble, alias: Percentage minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic o )
• EP_MUNIT ( type: esriFieldTypeDouble, alias: Percentage of housing in structures with 10 or more units estimate )
• MP_MUNIT ( type: esriFieldTypeDouble, alias: Percentage of housing in structures with 10 or more units estimate MOE )
• EP_MOBILE ( type: esriFieldTypeDouble, alias: Percentage of mobile homes estimate )
• MP_MOBILE ( type: esriFieldTypeDouble, alias: Percentage of mobile homes estimate MOE )
• EP_CROWD ( type: esriFieldTypeDouble, alias: Percentage of occupied housing units with more people than rooms estimate )
• MP_CROWD ( type: esriFieldTypeDouble, alias: Percentage of occupied housing units with more people than rooms estimate MOE )
• EP_NOVEH ( type: esriFieldTypeDouble, alias: Percentage of households with no vehicle available estimate )
• MP_NOVEH ( type: esriFieldTypeDouble, alias: Percentage of households with no vehicle available estimate MOE )
• EP_GROUPQ ( type: esriFieldTypeDouble, alias: Percentage of persons in group quarters estimate, 2018-2022 ACS )
• MP_GROUPQ ( type: esriFieldTypeDouble, alias: Percentage of persons in group quarters estimate MOE, 2018-2022 ACS )
• EPL_POV150 ( type: esriFieldTypeDouble, alias: Percentile percentage of persons below 150% poverty estimate )
• EPL_UNEMP ( type: esriFieldTypeDouble, alias: Percentile percentage of civilian (age 16+) unemployed estimate )
• EPL_HBURD ( type: esriFieldTypeDouble, alias: Percentile percentage of housing cost-burdened occupied housing units estimate )
• EPL_NOHSDP ( type: esriFieldTypeDouble, alias: Percentile percentage of persons with no high school diploma (age 25+) estimate )
• EPL_UNINSUR ( type: esriFieldTypeDouble, alias: Percentile percentage of uninsured estimate )
• SPL_THEME1 ( type: esriFieldTypeDouble, alias: Sum of series for Socioeconomic Status theme )
• RPL_THEME1 ( type: esriFieldTypeDouble, alias: Percentile ranking for Socioeconomic Status theme summary )
• EPL_AGE65 ( type: esriFieldTypeDouble, alias: Percentile percentage of persons aged 65 and older estimate )
• EPL_AGE17 ( type: esriFieldTypeDouble, alias: Percentile percentage of persons aged 17 and younger estimate )
• EPL_DISABL ( type: esriFieldTypeDouble, alias: Percentile percentage of civilian noninstitutionalized population with a disability estimate )
• EPL_SNGPNT ( type: esriFieldTypeDouble, alias: Percentile percentage of single-parent households with children under 18 estimate )
• EPL_LIMENG ( type: esriFieldTypeDouble, alias: Percentile percentage of persons (age 5+) who speak English "less than well" estimate )
• SPL_THEME2 ( type: esriFieldTypeDouble, alias: Sum of series for Household Characteristics theme )
• RPL_THEME2 ( type: esriFieldTypeDouble, alias: Percentile ranking for Household Characteristics theme summary )
• EPL_MINRTY ( type: esriFieldTypeDouble, alias: Percentile percentage minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not )
• SPL_THEME3 ( type: esriFieldTypeDouble, alias: Sum of series for Racial and Ethnic Minority Status theme )
• RPL_THEME3 ( type: esriFieldTypeDouble, alias: Percentile ranking for Racial and Ethnic Minority Status theme )
• EPL_MUNIT ( type: esriFieldTypeDouble, alias: Percentile percentage housing in structures with 10 or more units estimate )
• EPL_MOBILE ( type: esriFieldTypeDouble, alias: Percentile percentage mobile homes estimate )
• EPL_CROWD ( type: esriFieldTypeDouble, alias: Percentile percentage households with more people than rooms estimate )
• EPL_NOVEH ( type: esriFieldTypeDouble, alias: Percentile percentage households with no vehicle available estimate )
• EPL_GROUPQ ( type: esriFieldTypeDouble, alias: Percentile percentage of persons in group quarters estimate )
• SPL_THEME4 ( type: esriFieldTypeDouble, alias: Sum of series for Housing Type/ Transportation theme )
• RPL_THEME4 ( type: esriFieldTypeDouble, alias: Percentile ranking for Housing Type/ Transportation theme )
• SPL_THEMES ( type: esriFieldTypeDouble, alias: Sum of series themes )
• RPL_THEMES ( type: esriFieldTypeDouble, alias: Overall percentile ranking )
• F_POV150 ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons below 150% poverty is in the 90th percentile (1 = yes, 0 = no) )
• F_UNEMP ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of civilian unemployed is in the 90th percentile (1 = yes, 0 = no) )
• F_HBURD ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of housing cost-burdened occupied housing units is in the 90th percentile (1 = yes, 0 = no) )
• F_NOHSDP ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons with no high school diploma is in the 90th percentile (1 = yes, 0 = no) )
• F_UNINSUR ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of uninsured is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME1 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Socioeconomic Status theme )
• F_AGE65 ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons aged 65 and older is in the 90th percentile (1 = yes, 0 = no) )
• F_AGE17 ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons aged 17 and younger is in the 90th percentile (1 = yes, 0 = no) )
• F_DISABL ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons with a disability is in the 90th percentile (1 = yes, 0 = no) )
• F_SNGPNT ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of single-parent households is in the 90th percentile (1 = yes, 0 = no) )
• F_LIMENG ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage those with limited English is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME2 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Household Characteristics theme )
• F_MINRTY ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of minority is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME3 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Racial and Ethnic Minority Status theme )
• F_MUNIT ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of households in multi-unit housing is in the 90th percentile (1 = yes, 0 = no) )
• F_MOBILE ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of mobile homes is in the 90th percentile (1 = yes, 0 = no) )
• F_CROWD ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of crowded households is in the 90th percentile (1 = yes, 0 = no) )
• F_NOVEH ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of households with no vehicles is in the 90th percentile (1 = yes, 0 = no) )
• F_GROUPQ ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons in group quarters is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME4 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Housing Type/ Transportation theme )
• F_TOTAL ( type: esriFieldTypeSmallInteger, alias: Sum of flags for the four themes )
• E_DAYPOP ( type: esriFieldTypeInteger, alias: Adjunct variable - Estimated daytime population, LandScan 2020 )
• E_NOINT ( type: esriFieldTypeInteger, alias: Adjunct variable - Households without a computer with a broadband Internet subscription estimate, 2018-2022 ACS )
• M_NOINT ( type: esriFieldTypeInteger, alias: Adjunct variable - Households without a computer with a broadband Internet subscription estimate MOE, 2018-2022 ACS )
• E_AFAM ( type: esriFieldTypeInteger, alias: Adjunct variable - Black/African American, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_AFAM ( type: esriFieldTypeInteger, alias: Adjunct variable - Black/African American, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_HISP ( type: esriFieldTypeInteger, alias: Adjunct variable – Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_HISP ( type: esriFieldTypeInteger, alias: Adjunct variable – Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_ASIAN ( type: esriFieldTypeInteger, alias: Adjunct variable – Asian, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_ASIAN ( type: esriFieldTypeInteger, alias: Adjunct variable – Asian, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_AIAN ( type: esriFieldTypeInteger, alias: Adjunct variable - American Indian or Alaska Native, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_AIAN ( type: esriFieldTypeInteger, alias: Adjunct variable - American Indian or Alaska Native, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_NHPI ( type: esriFieldTypeInteger, alias: Adjunct variable - Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_NHPI ( type: esriFieldTypeInteger, alias: Adjunct variable - Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_TWOMORE ( type: esriFieldTypeInteger, alias: Adjunct variable - Two or more races, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_TWOMORE ( type: esriFieldTypeInteger, alias: Adjunct variable - Two or more races, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_OTHERRACE ( type: esriFieldTypeInteger, alias: Adjunct variable - Some other race, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_OTHERRACE ( type: esriFieldTypeInteger, alias: Adjunct variable - Some other race, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_NOINT ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of households without a computer with a broadband Internet subscription estimate, 2018-2022 ACS )
• MP_NOINT ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of households without a computer with a broadband Internet subscription estimate MOE, 2018-2022 ACS )
• EP_AFAM ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Black/African American, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_AFAM ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Black/African American, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_HISP ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_HISP ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_ASIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Asian, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_ASIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Asian, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_AIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of American Indian or Alaska Native, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_AIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of American Indian or Alaska Native, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_NHPI ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_NHPI ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_TWOMORE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of two or more races, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_TWOMORE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of two or more races, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_OTHERRACE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of some other race, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_OTHERRACE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of some other race, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• GRASP_ID ( type: esriFieldTypeOID, alias: GRASP_ID )
• SHAPE ( type: esriFieldTypeGeometry, alias: SHAPE )
• SHAPE.STArea() ( type: esriFieldTypeDouble, alias: SHAPE.STArea() )
• SHAPE.STLength() ( type: esriFieldTypeDouble, alias: SHAPE.STLength() )

Layer: Theme 3 - Racial & Ethnic Minority Status (9)

Sub Layers:
• SVI2022 US county - Theme 3
• SVI2022 US tract - Theme 3
Name: Theme 3 - Racial & Ethnic Minority Status

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Layer: SVI2022 US county - Theme 3 (10)

Parent Layer: Theme 3 - Racial & Ethnic Minority Status

Name: SVI2022 US county - Theme 3

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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></DIV></DIV></DIV>

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Fields:
• ST ( type: esriFieldTypeString, alias: State-level FIPS code, length: 2 )
• STATE ( type: esriFieldTypeString, alias: State name, length: 255 )
• ST_ABBR ( type: esriFieldTypeString, alias: State abbreviation, length: 2 )
• STCNTY ( type: esriFieldTypeString, alias: County-level FIPS code, length: 5 )
• COUNTY ( type: esriFieldTypeString, alias: County name, length: 255 )
• FIPS ( type: esriFieldTypeString, alias: Tract-level FIPS code, length: 30 )
• LOCATION ( type: esriFieldTypeString, alias: Text description of tract, county, state, length: 255 )
• AREA_SQMI ( type: esriFieldTypeDouble, alias: Tract area in square miles )
• E_TOTPOP ( type: esriFieldTypeInteger, alias: Population estimate, 2018-2022 ACS )
• M_TOTPOP ( type: esriFieldTypeInteger, alias: Population estimate MOE, 2018-2022 ACS )
• E_HU ( type: esriFieldTypeInteger, alias: Housing units estimate, 2018-2022 ACS )
• M_HU ( type: esriFieldTypeInteger, alias: Housing units estimate MOE, 2018-2022 ACS )
• E_HH ( type: esriFieldTypeInteger, alias: Households estimate, 2018-2022 ACS )
• M_HH ( type: esriFieldTypeInteger, alias: Households estimate MOE, 2018-2022 ACS )
• E_POV150 ( type: esriFieldTypeInteger, alias: Persons below 150% poverty estimate, 2018-2022 ACS )
• M_POV150 ( type: esriFieldTypeInteger, alias: Persons below 150% poverty estimate MOE, 2018-2022 ACS )
• E_UNEMP ( type: esriFieldTypeInteger, alias: Civilian (age 16+) unemployed estimate, 2018-2022 ACS )
• M_UNEMP ( type: esriFieldTypeInteger, alias: Civilian (age 16+) unemployed estimate MOE, 2018-2022 ACS )
• 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, 2018-2022 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, 2018-2022 ACS )
• E_NOHSDP ( type: esriFieldTypeInteger, alias: Persons (age 25+) with no high school diploma estimate, 2018-2022 ACS )
• M_NOHSDP ( type: esriFieldTypeInteger, alias: Persons (age 25+) with no high school diploma estimate MOE, 2018-2022 ACS )
• E_UNINSUR ( type: esriFieldTypeInteger, alias: Uninsured in the total civilian noninstitutionalized population estimate, 2018-2022 ACS )
• M_UNINSUR ( type: esriFieldTypeInteger, alias: Uninsured in the total civilian noninstitutionalized population estimate MOE, 2018-2022 ACS )
• E_AGE65 ( type: esriFieldTypeInteger, alias: Persons aged 65 and older estimate, 2018-2022 ACS )
• M_AGE65 ( type: esriFieldTypeInteger, alias: Persons aged 65 and older estimate MOE, 2018-2022 ACS )
• E_AGE17 ( type: esriFieldTypeInteger, alias: Persons aged 17 and younger estimate, 2018-2022 ACS )
• M_AGE17 ( type: esriFieldTypeInteger, alias: Persons aged 17 and younger estimate MOE, 2018-2022 ACS )
• E_DISABL ( type: esriFieldTypeInteger, alias: Civilian noninstitutionalized population with a disability estimate, 2018-2022 ACS )
• M_DISABL ( type: esriFieldTypeInteger, alias: Civilian noninstitutionalized population with a disability estimate MOE, 2018-2022 ACS )
• E_SNGPNT ( type: esriFieldTypeInteger, alias: Single-parent household with children under 18 estimate, 2018-2022 ACS )
• M_SNGPNT ( type: esriFieldTypeInteger, alias: Single-parent household with children under 18 estimate MOE, 2018-2022 ACS )
• E_LIMENG ( type: esriFieldTypeInteger, alias: Persons (age 5+) who speak English "less than well" estimate, 2018-2022 ACS )
• M_LIMENG ( type: esriFieldTypeInteger, alias: Persons (age 5+) who speak English "less than well" estimate MOE, 2018-2022 ACS )
• E_MINRTY ( type: esriFieldTypeInteger, alias: Minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic or Latino; T )
• M_MINRTY ( type: esriFieldTypeInteger, alias: Minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic or Latino; T )
• E_MUNIT ( type: esriFieldTypeInteger, alias: Housing in structures with 10 or more units estimate, 2018-2022 ACS )
• M_MUNIT ( type: esriFieldTypeInteger, alias: Housing in structures with 10 or more units estimate MOE, 2018-2022 ACS )
• E_MOBILE ( type: esriFieldTypeInteger, alias: Mobile homes estimate, 2018-2022 ACS )
• M_MOBILE ( type: esriFieldTypeInteger, alias: Mobile homes estimate MOE, 2018-2022 ACS )
• E_CROWD ( type: esriFieldTypeInteger, alias: At household level (occupied housing units), more people than rooms estimate, 2018-2022 ACS )
• M_CROWD ( type: esriFieldTypeInteger, alias: At household level (occupied housing units), more people than rooms estimate MOE, 2018-2022 ACS )
• E_NOVEH ( type: esriFieldTypeInteger, alias: Households with no vehicle available estimate, 2018-2022 ACS )
• M_NOVEH ( type: esriFieldTypeInteger, alias: Households with no vehicle available estimate MOE, 2018-2022 ACS )
• E_GROUPQ ( type: esriFieldTypeInteger, alias: Persons in group quarters estimate, 2018-2022 ACS )
• M_GROUPQ ( type: esriFieldTypeInteger, alias: Persons in group quarters estimate MOE, 2018-2022 ACS )
• EP_POV150 ( type: esriFieldTypeDouble, alias: Percentage of persons below 150% poverty estimate )
• MP_POV150 ( type: esriFieldTypeDouble, alias: Percentage of persons below 150% poverty estimate MOE )
• EP_UNEMP ( type: esriFieldTypeDouble, alias: Unemployment Rate estimate )
• MP_UNEMP ( type: esriFieldTypeDouble, alias: Unemployment Rate estimate MOE )
• EP_HBURD ( type: esriFieldTypeDouble, alias: Percentage of housing cost-burdened occupied housing units with annual income less than $75,000 (30%+ of income spent on housing costs) estimate, 2018-2022 ACS estimate, 2018-2022 ACS )
• MP_HBURD ( type: esriFieldTypeDouble, alias: Percentage of housing cost-burdened occupied housing units with annual income less than $75,000 (30%+ of income spent on housing costs) estimate MOE, 2018-2022 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 (25+) estimate MOE )
• EP_UNINSUR ( type: esriFieldTypeDouble, alias: Percentage uninsured in the total civilian noninstitutionalized population estimate, 2018-2022 ACS )
• MP_UNINSUR ( type: esriFieldTypeDouble, alias: Percentage uninsured in the total civilian noninstitutionalized population estimate MOE, 2018-2022 ACS )
• EP_AGE65 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 65 and older estimate, 2018-2022 ACS )
• MP_AGE65 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 65 and older estimate MOE, 2018-2022 ACS )
• EP_AGE17 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 17 and younger estimate, 2018-2022 ACS )
• MP_AGE17 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 17 and younger estimate MOE, 2018-2022 ACS )
• EP_DISABL ( type: esriFieldTypeDouble, alias: Percentage of civilian noninstitutionalized population with a disability estimate, 2018-2022 ACS )
• MP_DISABL ( type: esriFieldTypeDouble, alias: Percentage of civilian noninstitutionalized population with a disability estimate MOE, 2018-2022 ACS )
• EP_SNGPNT ( type: esriFieldTypeDouble, alias: Percentage of single-parent households with children under 18 estimate, 2018-2022 ACS )
• MP_SNGPNT ( type: esriFieldTypeDouble, alias: Percentage of single-parent households with children under 18 estimate MOE, 2018-2022 ACS )
• EP_LIMENG ( type: esriFieldTypeDouble, alias: Percentage of persons (age 5+) who speak English "less than well" estimate, 2018-2022 ACS )
• MP_LIMENG ( type: esriFieldTypeDouble, alias: Percentage of persons (age 5+) who speak English "less than well" estimate MOE, 2018-2022 ACS )
• EP_MINRTY ( type: esriFieldTypeDouble, alias: Percentage minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic o )
• MP_MINRTY ( type: esriFieldTypeDouble, alias: Percentage minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic o )
• EP_MUNIT ( type: esriFieldTypeDouble, alias: Percentage of housing in structures with 10 or more units estimate )
• MP_MUNIT ( type: esriFieldTypeDouble, alias: Percentage of housing in structures with 10 or more units estimate MOE )
• EP_MOBILE ( type: esriFieldTypeDouble, alias: Percentage of mobile homes estimate )
• MP_MOBILE ( type: esriFieldTypeDouble, alias: Percentage of mobile homes estimate MOE )
• EP_CROWD ( type: esriFieldTypeDouble, alias: Percentage of occupied housing units with more people than rooms estimate )
• MP_CROWD ( type: esriFieldTypeDouble, alias: Percentage of occupied housing units with more people than rooms estimate MOE )
• EP_NOVEH ( type: esriFieldTypeDouble, alias: Percentage of households with no vehicle available estimate )
• MP_NOVEH ( type: esriFieldTypeDouble, alias: Percentage of households with no vehicle available estimate MOE )
• EP_GROUPQ ( type: esriFieldTypeDouble, alias: Percentage of persons in group quarters estimate, 2018-2022 ACS )
• MP_GROUPQ ( type: esriFieldTypeDouble, alias: Percentage of persons in group quarters estimate MOE, 2018-2022 ACS )
• EPL_POV150 ( type: esriFieldTypeDouble, alias: Percentile percentage of persons below 150% poverty estimate )
• EPL_UNEMP ( type: esriFieldTypeDouble, alias: Percentile percentage of civilian (age 16+) unemployed estimate )
• EPL_HBURD ( type: esriFieldTypeDouble, alias: Percentile percentage of housing cost-burdened occupied housing units estimate )
• EPL_NOHSDP ( type: esriFieldTypeDouble, alias: Percentile percentage of persons with no high school diploma (age 25+) estimate )
• EPL_UNINSUR ( type: esriFieldTypeDouble, alias: Percentile percentage of uninsured estimate )
• SPL_THEME1 ( type: esriFieldTypeDouble, alias: Sum of series for Socioeconomic Status theme )
• RPL_THEME1 ( type: esriFieldTypeDouble, alias: Percentile ranking for Socioeconomic Status theme summary )
• EPL_AGE65 ( type: esriFieldTypeDouble, alias: Percentile percentage of persons aged 65 and older estimate )
• EPL_AGE17 ( type: esriFieldTypeDouble, alias: Percentile percentage of persons aged 17 and younger estimate )
• EPL_DISABL ( type: esriFieldTypeDouble, alias: Percentile percentage of civilian noninstitutionalized population with a disability estimate )
• EPL_SNGPNT ( type: esriFieldTypeDouble, alias: Percentile percentage of single-parent households with children under 18 estimate )
• EPL_LIMENG ( type: esriFieldTypeDouble, alias: Percentile percentage of persons (age 5+) who speak English "less than well" estimate )
• SPL_THEME2 ( type: esriFieldTypeDouble, alias: Sum of series for Household Characteristics theme )
• RPL_THEME2 ( type: esriFieldTypeDouble, alias: Percentile ranking for Household Characteristics theme summary )
• EPL_MINRTY ( type: esriFieldTypeDouble, alias: Percentile percentage minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not )
• SPL_THEME3 ( type: esriFieldTypeDouble, alias: Sum of series for Racial and Ethnic Minority Status theme )
• RPL_THEME3 ( type: esriFieldTypeDouble, alias: Percentile ranking for Racial and Ethnic Minority Status theme )
• EPL_MUNIT ( type: esriFieldTypeDouble, alias: Percentile percentage housing in structures with 10 or more units estimate )
• EPL_MOBILE ( type: esriFieldTypeDouble, alias: Percentile percentage mobile homes estimate )
• EPL_CROWD ( type: esriFieldTypeDouble, alias: Percentile percentage households with more people than rooms estimate )
• EPL_NOVEH ( type: esriFieldTypeDouble, alias: Percentile percentage households with no vehicle available estimate )
• EPL_GROUPQ ( type: esriFieldTypeDouble, alias: Percentile percentage of persons in group quarters estimate )
• SPL_THEME4 ( type: esriFieldTypeDouble, alias: Sum of series for Housing Type/ Transportation theme )
• RPL_THEME4 ( type: esriFieldTypeDouble, alias: Percentile ranking for Housing Type/ Transportation theme )
• SPL_THEMES ( type: esriFieldTypeDouble, alias: Sum of series themes )
• RPL_THEMES ( type: esriFieldTypeDouble, alias: Overall percentile ranking )
• F_POV150 ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons below 150% poverty is in the 90th percentile (1 = yes, 0 = no) )
• F_UNEMP ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of civilian unemployed is in the 90th percentile (1 = yes, 0 = no) )
• F_HBURD ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of housing cost-burdened occupied housing units is in the 90th percentile (1 = yes, 0 = no) )
• F_NOHSDP ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons with no high school diploma is in the 90th percentile (1 = yes, 0 = no) )
• F_UNINSUR ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of uninsured is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME1 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Socioeconomic Status theme )
• F_AGE65 ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons aged 65 and older is in the 90th percentile (1 = yes, 0 = no) )
• F_AGE17 ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons aged 17 and younger is in the 90th percentile (1 = yes, 0 = no) )
• F_DISABL ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons with a disability is in the 90th percentile (1 = yes, 0 = no) )
• F_SNGPNT ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of single-parent households is in the 90th percentile (1 = yes, 0 = no) )
• F_LIMENG ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage those with limited English is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME2 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Household Characteristics theme )
• F_MINRTY ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of minority is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME3 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Racial and Ethnic Minority Status theme )
• F_MUNIT ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of households in multi-unit housing is in the 90th percentile (1 = yes, 0 = no) )
• F_MOBILE ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of mobile homes is in the 90th percentile (1 = yes, 0 = no) )
• F_CROWD ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of crowded households is in the 90th percentile (1 = yes, 0 = no) )
• F_NOVEH ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of households with no vehicles is in the 90th percentile (1 = yes, 0 = no) )
• F_GROUPQ ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons in group quarters is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME4 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Housing Type/ Transportation theme )
• F_TOTAL ( type: esriFieldTypeSmallInteger, alias: Sum of flags for the four themes )
• E_DAYPOP ( type: esriFieldTypeInteger, alias: Adjunct variable - Estimated daytime population, LandScan 2020 )
• E_NOINT ( type: esriFieldTypeInteger, alias: Adjunct variable - Households without a computer with a broadband Internet subscription estimate, 2018-2022 ACS )
• M_NOINT ( type: esriFieldTypeInteger, alias: Adjunct variable - Households without a computer with a broadband Internet subscription estimate MOE, 2018-2022 ACS )
• E_AFAM ( type: esriFieldTypeInteger, alias: Adjunct variable - Black/African American, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_AFAM ( type: esriFieldTypeInteger, alias: Adjunct variable - Black/African American, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_HISP ( type: esriFieldTypeInteger, alias: Adjunct variable – Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_HISP ( type: esriFieldTypeInteger, alias: Adjunct variable – Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_ASIAN ( type: esriFieldTypeInteger, alias: Adjunct variable – Asian, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_ASIAN ( type: esriFieldTypeInteger, alias: Adjunct variable – Asian, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_AIAN ( type: esriFieldTypeInteger, alias: Adjunct variable - American Indian or Alaska Native, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_AIAN ( type: esriFieldTypeInteger, alias: Adjunct variable - American Indian or Alaska Native, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_NHPI ( type: esriFieldTypeInteger, alias: Adjunct variable - Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_NHPI ( type: esriFieldTypeInteger, alias: Adjunct variable - Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_TWOMORE ( type: esriFieldTypeInteger, alias: Adjunct variable - Two or more races, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_TWOMORE ( type: esriFieldTypeInteger, alias: Adjunct variable - Two or more races, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_OTHERRACE ( type: esriFieldTypeInteger, alias: Adjunct variable - Some other race, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_OTHERRACE ( type: esriFieldTypeInteger, alias: Adjunct variable - Some other race, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_NOINT ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of households without a computer with a broadband Internet subscription estimate, 2018-2022 ACS )
• MP_NOINT ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of households without a computer with a broadband Internet subscription estimate MOE, 2018-2022 ACS )
• EP_AFAM ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Black/African American, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_AFAM ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Black/African American, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_HISP ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_HISP ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_ASIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Asian, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_ASIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Asian, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_AIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of American Indian or Alaska Native, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_AIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of American Indian or Alaska Native, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_NHPI ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_NHPI ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_TWOMORE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of two or more races, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_TWOMORE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of two or more races, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_OTHERRACE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of some other race, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_OTHERRACE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of some other race, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• GRASP_ID ( type: esriFieldTypeOID, alias: GRASP_ID )
• SHAPE ( type: esriFieldTypeGeometry, alias: SHAPE )
• SHAPE.STArea() ( type: esriFieldTypeDouble, alias: SHAPE.STArea() )
• SHAPE.STLength() ( type: esriFieldTypeDouble, alias: SHAPE.STLength() )

Layer: SVI2022 US tract - Theme 3 (11)

Parent Layer: Theme 3 - Racial & Ethnic Minority Status

Name: SVI2022 US tract - Theme 3

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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></DIV></DIV></DIV>

Service Item Id: c0b0dc1289854752807963a7314a8b69

Copyright Text: CDC\ATSDR\Office of Innovation and Analytics\Geospatial Research, Analysis, and Services Program (GRASP)

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Type ID Field: null

Fields:
• ST ( type: esriFieldTypeString, alias: State-level FIPS code, length: 2 )
• STATE ( type: esriFieldTypeString, alias: State name, length: 255 )
• ST_ABBR ( type: esriFieldTypeString, alias: State abbreviation, length: 2 )
• STCNTY ( type: esriFieldTypeString, alias: County-level FIPS code, length: 5 )
• COUNTY ( type: esriFieldTypeString, alias: County name, length: 255 )
• FIPS ( type: esriFieldTypeString, alias: Tract-level FIPS code, length: 30 )
• LOCATION ( type: esriFieldTypeString, alias: Text description of tract, county, state, length: 255 )
• AREA_SQMI ( type: esriFieldTypeDouble, alias: Tract area in square miles )
• E_TOTPOP ( type: esriFieldTypeInteger, alias: Population estimate, 2018-2022 ACS )
• M_TOTPOP ( type: esriFieldTypeInteger, alias: Population estimate MOE, 2018-2022 ACS )
• E_HU ( type: esriFieldTypeInteger, alias: Housing units estimate, 2018-2022 ACS )
• M_HU ( type: esriFieldTypeInteger, alias: Housing units estimate MOE, 2018-2022 ACS )
• E_HH ( type: esriFieldTypeInteger, alias: Households estimate, 2018-2022 ACS )
• M_HH ( type: esriFieldTypeInteger, alias: Households estimate MOE, 2018-2022 ACS )
• E_POV150 ( type: esriFieldTypeInteger, alias: Persons below 150% poverty estimate, 2018-2022 ACS )
• M_POV150 ( type: esriFieldTypeInteger, alias: Persons below 150% poverty estimate MOE, 2018-2022 ACS )
• E_UNEMP ( type: esriFieldTypeInteger, alias: Civilian (age 16+) unemployed estimate, 2018-2022 ACS )
• M_UNEMP ( type: esriFieldTypeInteger, alias: Civilian (age 16+) unemployed estimate MOE, 2018-2022 ACS )
• 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, 2018-2022 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, 2018-2022 ACS )
• E_NOHSDP ( type: esriFieldTypeInteger, alias: Persons (age 25+) with no high school diploma estimate, 2018-2022 ACS )
• M_NOHSDP ( type: esriFieldTypeInteger, alias: Persons (age 25+) with no high school diploma estimate MOE, 2018-2022 ACS )
• E_UNINSUR ( type: esriFieldTypeInteger, alias: Uninsured in the total civilian noninstitutionalized population estimate, 2018-2022 ACS )
• M_UNINSUR ( type: esriFieldTypeInteger, alias: Uninsured in the total civilian noninstitutionalized population estimate MOE, 2018-2022 ACS )
• E_AGE65 ( type: esriFieldTypeInteger, alias: Persons aged 65 and older estimate, 2018-2022 ACS )
• M_AGE65 ( type: esriFieldTypeInteger, alias: Persons aged 65 and older estimate MOE, 2018-2022 ACS )
• E_AGE17 ( type: esriFieldTypeInteger, alias: Persons aged 17 and younger estimate, 2018-2022 ACS )
• M_AGE17 ( type: esriFieldTypeInteger, alias: Persons aged 17 and younger estimate MOE, 2018-2022 ACS )
• E_DISABL ( type: esriFieldTypeInteger, alias: Civilian noninstitutionalized population with a disability estimate, 2018-2022 ACS )
• M_DISABL ( type: esriFieldTypeInteger, alias: Civilian noninstitutionalized population with a disability estimate MOE, 2018-2022 ACS )
• E_SNGPNT ( type: esriFieldTypeInteger, alias: Single-parent household with children under 18 estimate, 2018-2022 ACS )
• M_SNGPNT ( type: esriFieldTypeInteger, alias: Single-parent household with children under 18 estimate MOE, 2018-2022 ACS )
• E_LIMENG ( type: esriFieldTypeInteger, alias: Persons (age 5+) who speak English "less than well" estimate, 2018-2022 ACS )
• M_LIMENG ( type: esriFieldTypeInteger, alias: Persons (age 5+) who speak English "less than well" estimate MOE, 2018-2022 ACS )
• E_MINRTY ( type: esriFieldTypeInteger, alias: Minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic or Latino; T )
• M_MINRTY ( type: esriFieldTypeInteger, alias: Minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic or Latino; T )
• E_MUNIT ( type: esriFieldTypeInteger, alias: Housing in structures with 10 or more units estimate, 2018-2022 ACS )
• M_MUNIT ( type: esriFieldTypeInteger, alias: Housing in structures with 10 or more units estimate MOE, 2018-2022 ACS )
• E_MOBILE ( type: esriFieldTypeInteger, alias: Mobile homes estimate, 2018-2022 ACS )
• M_MOBILE ( type: esriFieldTypeInteger, alias: Mobile homes estimate MOE, 2018-2022 ACS )
• E_CROWD ( type: esriFieldTypeInteger, alias: At household level (occupied housing units), more people than rooms estimate, 2018-2022 ACS )
• M_CROWD ( type: esriFieldTypeInteger, alias: At household level (occupied housing units), more people than rooms estimate MOE, 2018-2022 ACS )
• E_NOVEH ( type: esriFieldTypeInteger, alias: Households with no vehicle available estimate, 2018-2022 ACS )
• M_NOVEH ( type: esriFieldTypeInteger, alias: Households with no vehicle available estimate MOE, 2018-2022 ACS )
• E_GROUPQ ( type: esriFieldTypeInteger, alias: Persons in group quarters estimate, 2018-2022 ACS )
• M_GROUPQ ( type: esriFieldTypeInteger, alias: Persons in group quarters estimate MOE, 2018-2022 ACS )
• EP_POV150 ( type: esriFieldTypeDouble, alias: Percentage of persons below 150% poverty estimate )
• MP_POV150 ( type: esriFieldTypeDouble, alias: Percentage of persons below 150% poverty estimate MOE )
• EP_UNEMP ( type: esriFieldTypeDouble, alias: Unemployment Rate estimate )
• MP_UNEMP ( type: esriFieldTypeDouble, alias: Unemployment Rate estimate MOE )
• EP_HBURD ( type: esriFieldTypeDouble, alias: Percentage of housing cost-burdened occupied housing units with annual income less than $75,000 (30%+ of income spent on housing costs) estimate, 2018-2022 ACS estimate, 2018-2022 ACS )
• MP_HBURD ( type: esriFieldTypeDouble, alias: Percentage of housing cost-burdened occupied housing units with annual income less than $75,000 (30%+ of income spent on housing costs) estimate MOE, 2018-2022 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 (25+) estimate MOE )
• EP_UNINSUR ( type: esriFieldTypeDouble, alias: Percentage uninsured in the total civilian noninstitutionalized population estimate, 2018-2022 ACS )
• MP_UNINSUR ( type: esriFieldTypeDouble, alias: Percentage uninsured in the total civilian noninstitutionalized population estimate MOE, 2018-2022 ACS )
• EP_AGE65 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 65 and older estimate, 2018-2022 ACS )
• MP_AGE65 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 65 and older estimate MOE, 2018-2022 ACS )
• EP_AGE17 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 17 and younger estimate, 2018-2022 ACS )
• MP_AGE17 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 17 and younger estimate MOE, 2018-2022 ACS )
• EP_DISABL ( type: esriFieldTypeDouble, alias: Percentage of civilian noninstitutionalized population with a disability estimate, 2018-2022 ACS )
• MP_DISABL ( type: esriFieldTypeDouble, alias: Percentage of civilian noninstitutionalized population with a disability estimate MOE, 2018-2022 ACS )
• EP_SNGPNT ( type: esriFieldTypeDouble, alias: Percentage of single-parent households with children under 18 estimate, 2018-2022 ACS )
• MP_SNGPNT ( type: esriFieldTypeDouble, alias: Percentage of single-parent households with children under 18 estimate MOE, 2018-2022 ACS )
• EP_LIMENG ( type: esriFieldTypeDouble, alias: Percentage of persons (age 5+) who speak English "less than well" estimate, 2018-2022 ACS )
• MP_LIMENG ( type: esriFieldTypeDouble, alias: Percentage of persons (age 5+) who speak English "less than well" estimate MOE, 2018-2022 ACS )
• EP_MINRTY ( type: esriFieldTypeDouble, alias: Percentage minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic o )
• MP_MINRTY ( type: esriFieldTypeDouble, alias: Percentage minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic o )
• EP_MUNIT ( type: esriFieldTypeDouble, alias: Percentage of housing in structures with 10 or more units estimate )
• MP_MUNIT ( type: esriFieldTypeDouble, alias: Percentage of housing in structures with 10 or more units estimate MOE )
• EP_MOBILE ( type: esriFieldTypeDouble, alias: Percentage of mobile homes estimate )
• MP_MOBILE ( type: esriFieldTypeDouble, alias: Percentage of mobile homes estimate MOE )
• EP_CROWD ( type: esriFieldTypeDouble, alias: Percentage of occupied housing units with more people than rooms estimate )
• MP_CROWD ( type: esriFieldTypeDouble, alias: Percentage of occupied housing units with more people than rooms estimate MOE )
• EP_NOVEH ( type: esriFieldTypeDouble, alias: Percentage of households with no vehicle available estimate )
• MP_NOVEH ( type: esriFieldTypeDouble, alias: Percentage of households with no vehicle available estimate MOE )
• EP_GROUPQ ( type: esriFieldTypeDouble, alias: Percentage of persons in group quarters estimate, 2018-2022 ACS )
• MP_GROUPQ ( type: esriFieldTypeDouble, alias: Percentage of persons in group quarters estimate MOE, 2018-2022 ACS )
• EPL_POV150 ( type: esriFieldTypeDouble, alias: Percentile percentage of persons below 150% poverty estimate )
• EPL_UNEMP ( type: esriFieldTypeDouble, alias: Percentile percentage of civilian (age 16+) unemployed estimate )
• EPL_HBURD ( type: esriFieldTypeDouble, alias: Percentile percentage of housing cost-burdened occupied housing units estimate )
• EPL_NOHSDP ( type: esriFieldTypeDouble, alias: Percentile percentage of persons with no high school diploma (age 25+) estimate )
• EPL_UNINSUR ( type: esriFieldTypeDouble, alias: Percentile percentage of uninsured estimate )
• SPL_THEME1 ( type: esriFieldTypeDouble, alias: Sum of series for Socioeconomic Status theme )
• RPL_THEME1 ( type: esriFieldTypeDouble, alias: Percentile ranking for Socioeconomic Status theme summary )
• EPL_AGE65 ( type: esriFieldTypeDouble, alias: Percentile percentage of persons aged 65 and older estimate )
• EPL_AGE17 ( type: esriFieldTypeDouble, alias: Percentile percentage of persons aged 17 and younger estimate )
• EPL_DISABL ( type: esriFieldTypeDouble, alias: Percentile percentage of civilian noninstitutionalized population with a disability estimate )
• EPL_SNGPNT ( type: esriFieldTypeDouble, alias: Percentile percentage of single-parent households with children under 18 estimate )
• EPL_LIMENG ( type: esriFieldTypeDouble, alias: Percentile percentage of persons (age 5+) who speak English "less than well" estimate )
• SPL_THEME2 ( type: esriFieldTypeDouble, alias: Sum of series for Household Characteristics theme )
• RPL_THEME2 ( type: esriFieldTypeDouble, alias: Percentile ranking for Household Characteristics theme summary )
• EPL_MINRTY ( type: esriFieldTypeDouble, alias: Percentile percentage minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not )
• SPL_THEME3 ( type: esriFieldTypeDouble, alias: Sum of series for Racial and Ethnic Minority Status theme )
• RPL_THEME3 ( type: esriFieldTypeDouble, alias: Percentile ranking for Racial and Ethnic Minority Status theme )
• EPL_MUNIT ( type: esriFieldTypeDouble, alias: Percentile percentage housing in structures with 10 or more units estimate )
• EPL_MOBILE ( type: esriFieldTypeDouble, alias: Percentile percentage mobile homes estimate )
• EPL_CROWD ( type: esriFieldTypeDouble, alias: Percentile percentage households with more people than rooms estimate )
• EPL_NOVEH ( type: esriFieldTypeDouble, alias: Percentile percentage households with no vehicle available estimate )
• EPL_GROUPQ ( type: esriFieldTypeDouble, alias: Percentile percentage of persons in group quarters estimate )
• SPL_THEME4 ( type: esriFieldTypeDouble, alias: Sum of series for Housing Type/ Transportation theme )
• RPL_THEME4 ( type: esriFieldTypeDouble, alias: Percentile ranking for Housing Type/ Transportation theme )
• SPL_THEMES ( type: esriFieldTypeDouble, alias: Sum of series themes )
• RPL_THEMES ( type: esriFieldTypeDouble, alias: Overall percentile ranking )
• F_POV150 ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons below 150% poverty is in the 90th percentile (1 = yes, 0 = no) )
• F_UNEMP ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of civilian unemployed is in the 90th percentile (1 = yes, 0 = no) )
• F_HBURD ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of housing cost-burdened occupied housing units is in the 90th percentile (1 = yes, 0 = no) )
• F_NOHSDP ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons with no high school diploma is in the 90th percentile (1 = yes, 0 = no) )
• F_UNINSUR ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of uninsured is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME1 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Socioeconomic Status theme )
• F_AGE65 ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons aged 65 and older is in the 90th percentile (1 = yes, 0 = no) )
• F_AGE17 ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons aged 17 and younger is in the 90th percentile (1 = yes, 0 = no) )
• F_DISABL ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons with a disability is in the 90th percentile (1 = yes, 0 = no) )
• F_SNGPNT ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of single-parent households is in the 90th percentile (1 = yes, 0 = no) )
• F_LIMENG ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage those with limited English is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME2 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Household Characteristics theme )
• F_MINRTY ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of minority is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME3 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Racial and Ethnic Minority Status theme )
• F_MUNIT ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of households in multi-unit housing is in the 90th percentile (1 = yes, 0 = no) )
• F_MOBILE ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of mobile homes is in the 90th percentile (1 = yes, 0 = no) )
• F_CROWD ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of crowded households is in the 90th percentile (1 = yes, 0 = no) )
• F_NOVEH ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of households with no vehicles is in the 90th percentile (1 = yes, 0 = no) )
• F_GROUPQ ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons in group quarters is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME4 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Housing Type/ Transportation theme )
• F_TOTAL ( type: esriFieldTypeSmallInteger, alias: Sum of flags for the four themes )
• E_DAYPOP ( type: esriFieldTypeInteger, alias: Adjunct variable - Estimated daytime population, LandScan 2020 )
• E_NOINT ( type: esriFieldTypeInteger, alias: Adjunct variable - Households without a computer with a broadband Internet subscription estimate, 2018-2022 ACS )
• M_NOINT ( type: esriFieldTypeInteger, alias: Adjunct variable - Households without a computer with a broadband Internet subscription estimate MOE, 2018-2022 ACS )
• E_AFAM ( type: esriFieldTypeInteger, alias: Adjunct variable - Black/African American, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_AFAM ( type: esriFieldTypeInteger, alias: Adjunct variable - Black/African American, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_HISP ( type: esriFieldTypeInteger, alias: Adjunct variable – Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_HISP ( type: esriFieldTypeInteger, alias: Adjunct variable – Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_ASIAN ( type: esriFieldTypeInteger, alias: Adjunct variable – Asian, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_ASIAN ( type: esriFieldTypeInteger, alias: Adjunct variable – Asian, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_AIAN ( type: esriFieldTypeInteger, alias: Adjunct variable - American Indian or Alaska Native, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_AIAN ( type: esriFieldTypeInteger, alias: Adjunct variable - American Indian or Alaska Native, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_NHPI ( type: esriFieldTypeInteger, alias: Adjunct variable - Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_NHPI ( type: esriFieldTypeInteger, alias: Adjunct variable - Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_TWOMORE ( type: esriFieldTypeInteger, alias: Adjunct variable - Two or more races, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_TWOMORE ( type: esriFieldTypeInteger, alias: Adjunct variable - Two or more races, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_OTHERRACE ( type: esriFieldTypeInteger, alias: Adjunct variable - Some other race, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_OTHERRACE ( type: esriFieldTypeInteger, alias: Adjunct variable - Some other race, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_NOINT ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of households without a computer with a broadband Internet subscription estimate, 2018-2022 ACS )
• MP_NOINT ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of households without a computer with a broadband Internet subscription estimate MOE, 2018-2022 ACS )
• EP_AFAM ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Black/African American, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_AFAM ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Black/African American, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_HISP ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_HISP ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_ASIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Asian, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_ASIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Asian, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_AIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of American Indian or Alaska Native, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_AIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of American Indian or Alaska Native, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_NHPI ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_NHPI ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_TWOMORE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of two or more races, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_TWOMORE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of two or more races, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_OTHERRACE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of some other race, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_OTHERRACE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of some other race, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• GRASP_ID ( type: esriFieldTypeOID, alias: GRASP_ID )
• SHAPE ( type: esriFieldTypeGeometry, alias: SHAPE )
• SHAPE.STArea() ( type: esriFieldTypeDouble, alias: SHAPE.STArea() )
• SHAPE.STLength() ( type: esriFieldTypeDouble, alias: SHAPE.STLength() )

Layer: Theme 4 - Housing Type & Transportation (12)

Sub Layers:
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Layer: SVI2022 US county - Theme 4 (13)

Parent Layer: Theme 4 - Housing Type & Transportation

Name: SVI2022 US county - Theme 4

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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></DIV></DIV></DIV>

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Fields:
• ST ( type: esriFieldTypeString, alias: State-level FIPS code, length: 2 )
• STATE ( type: esriFieldTypeString, alias: State name, length: 255 )
• ST_ABBR ( type: esriFieldTypeString, alias: State abbreviation, length: 2 )
• STCNTY ( type: esriFieldTypeString, alias: County-level FIPS code, length: 5 )
• COUNTY ( type: esriFieldTypeString, alias: County name, length: 255 )
• FIPS ( type: esriFieldTypeString, alias: Tract-level FIPS code, length: 30 )
• LOCATION ( type: esriFieldTypeString, alias: Text description of tract, county, state, length: 255 )
• AREA_SQMI ( type: esriFieldTypeDouble, alias: Tract area in square miles )
• E_TOTPOP ( type: esriFieldTypeInteger, alias: Population estimate, 2018-2022 ACS )
• M_TOTPOP ( type: esriFieldTypeInteger, alias: Population estimate MOE, 2018-2022 ACS )
• E_HU ( type: esriFieldTypeInteger, alias: Housing units estimate, 2018-2022 ACS )
• M_HU ( type: esriFieldTypeInteger, alias: Housing units estimate MOE, 2018-2022 ACS )
• E_HH ( type: esriFieldTypeInteger, alias: Households estimate, 2018-2022 ACS )
• M_HH ( type: esriFieldTypeInteger, alias: Households estimate MOE, 2018-2022 ACS )
• E_POV150 ( type: esriFieldTypeInteger, alias: Persons below 150% poverty estimate, 2018-2022 ACS )
• M_POV150 ( type: esriFieldTypeInteger, alias: Persons below 150% poverty estimate MOE, 2018-2022 ACS )
• E_UNEMP ( type: esriFieldTypeInteger, alias: Civilian (age 16+) unemployed estimate, 2018-2022 ACS )
• M_UNEMP ( type: esriFieldTypeInteger, alias: Civilian (age 16+) unemployed estimate MOE, 2018-2022 ACS )
• 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, 2018-2022 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, 2018-2022 ACS )
• E_NOHSDP ( type: esriFieldTypeInteger, alias: Persons (age 25+) with no high school diploma estimate, 2018-2022 ACS )
• M_NOHSDP ( type: esriFieldTypeInteger, alias: Persons (age 25+) with no high school diploma estimate MOE, 2018-2022 ACS )
• E_UNINSUR ( type: esriFieldTypeInteger, alias: Uninsured in the total civilian noninstitutionalized population estimate, 2018-2022 ACS )
• M_UNINSUR ( type: esriFieldTypeInteger, alias: Uninsured in the total civilian noninstitutionalized population estimate MOE, 2018-2022 ACS )
• E_AGE65 ( type: esriFieldTypeInteger, alias: Persons aged 65 and older estimate, 2018-2022 ACS )
• M_AGE65 ( type: esriFieldTypeInteger, alias: Persons aged 65 and older estimate MOE, 2018-2022 ACS )
• E_AGE17 ( type: esriFieldTypeInteger, alias: Persons aged 17 and younger estimate, 2018-2022 ACS )
• M_AGE17 ( type: esriFieldTypeInteger, alias: Persons aged 17 and younger estimate MOE, 2018-2022 ACS )
• E_DISABL ( type: esriFieldTypeInteger, alias: Civilian noninstitutionalized population with a disability estimate, 2018-2022 ACS )
• M_DISABL ( type: esriFieldTypeInteger, alias: Civilian noninstitutionalized population with a disability estimate MOE, 2018-2022 ACS )
• E_SNGPNT ( type: esriFieldTypeInteger, alias: Single-parent household with children under 18 estimate, 2018-2022 ACS )
• M_SNGPNT ( type: esriFieldTypeInteger, alias: Single-parent household with children under 18 estimate MOE, 2018-2022 ACS )
• E_LIMENG ( type: esriFieldTypeInteger, alias: Persons (age 5+) who speak English "less than well" estimate, 2018-2022 ACS )
• M_LIMENG ( type: esriFieldTypeInteger, alias: Persons (age 5+) who speak English "less than well" estimate MOE, 2018-2022 ACS )
• E_MINRTY ( type: esriFieldTypeInteger, alias: Minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic or Latino; T )
• M_MINRTY ( type: esriFieldTypeInteger, alias: Minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic or Latino; T )
• E_MUNIT ( type: esriFieldTypeInteger, alias: Housing in structures with 10 or more units estimate, 2018-2022 ACS )
• M_MUNIT ( type: esriFieldTypeInteger, alias: Housing in structures with 10 or more units estimate MOE, 2018-2022 ACS )
• E_MOBILE ( type: esriFieldTypeInteger, alias: Mobile homes estimate, 2018-2022 ACS )
• M_MOBILE ( type: esriFieldTypeInteger, alias: Mobile homes estimate MOE, 2018-2022 ACS )
• E_CROWD ( type: esriFieldTypeInteger, alias: At household level (occupied housing units), more people than rooms estimate, 2018-2022 ACS )
• M_CROWD ( type: esriFieldTypeInteger, alias: At household level (occupied housing units), more people than rooms estimate MOE, 2018-2022 ACS )
• E_NOVEH ( type: esriFieldTypeInteger, alias: Households with no vehicle available estimate, 2018-2022 ACS )
• M_NOVEH ( type: esriFieldTypeInteger, alias: Households with no vehicle available estimate MOE, 2018-2022 ACS )
• E_GROUPQ ( type: esriFieldTypeInteger, alias: Persons in group quarters estimate, 2018-2022 ACS )
• M_GROUPQ ( type: esriFieldTypeInteger, alias: Persons in group quarters estimate MOE, 2018-2022 ACS )
• EP_POV150 ( type: esriFieldTypeDouble, alias: Percentage of persons below 150% poverty estimate )
• MP_POV150 ( type: esriFieldTypeDouble, alias: Percentage of persons below 150% poverty estimate MOE )
• EP_UNEMP ( type: esriFieldTypeDouble, alias: Unemployment Rate estimate )
• MP_UNEMP ( type: esriFieldTypeDouble, alias: Unemployment Rate estimate MOE )
• EP_HBURD ( type: esriFieldTypeDouble, alias: Percentage of housing cost-burdened occupied housing units with annual income less than $75,000 (30%+ of income spent on housing costs) estimate, 2018-2022 ACS estimate, 2018-2022 ACS )
• MP_HBURD ( type: esriFieldTypeDouble, alias: Percentage of housing cost-burdened occupied housing units with annual income less than $75,000 (30%+ of income spent on housing costs) estimate MOE, 2018-2022 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 (25+) estimate MOE )
• EP_UNINSUR ( type: esriFieldTypeDouble, alias: Percentage uninsured in the total civilian noninstitutionalized population estimate, 2018-2022 ACS )
• MP_UNINSUR ( type: esriFieldTypeDouble, alias: Percentage uninsured in the total civilian noninstitutionalized population estimate MOE, 2018-2022 ACS )
• EP_AGE65 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 65 and older estimate, 2018-2022 ACS )
• MP_AGE65 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 65 and older estimate MOE, 2018-2022 ACS )
• EP_AGE17 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 17 and younger estimate, 2018-2022 ACS )
• MP_AGE17 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 17 and younger estimate MOE, 2018-2022 ACS )
• EP_DISABL ( type: esriFieldTypeDouble, alias: Percentage of civilian noninstitutionalized population with a disability estimate, 2018-2022 ACS )
• MP_DISABL ( type: esriFieldTypeDouble, alias: Percentage of civilian noninstitutionalized population with a disability estimate MOE, 2018-2022 ACS )
• EP_SNGPNT ( type: esriFieldTypeDouble, alias: Percentage of single-parent households with children under 18 estimate, 2018-2022 ACS )
• MP_SNGPNT ( type: esriFieldTypeDouble, alias: Percentage of single-parent households with children under 18 estimate MOE, 2018-2022 ACS )
• EP_LIMENG ( type: esriFieldTypeDouble, alias: Percentage of persons (age 5+) who speak English "less than well" estimate, 2018-2022 ACS )
• MP_LIMENG ( type: esriFieldTypeDouble, alias: Percentage of persons (age 5+) who speak English "less than well" estimate MOE, 2018-2022 ACS )
• EP_MINRTY ( type: esriFieldTypeDouble, alias: Percentage minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic o )
• MP_MINRTY ( type: esriFieldTypeDouble, alias: Percentage minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic o )
• EP_MUNIT ( type: esriFieldTypeDouble, alias: Percentage of housing in structures with 10 or more units estimate )
• MP_MUNIT ( type: esriFieldTypeDouble, alias: Percentage of housing in structures with 10 or more units estimate MOE )
• EP_MOBILE ( type: esriFieldTypeDouble, alias: Percentage of mobile homes estimate )
• MP_MOBILE ( type: esriFieldTypeDouble, alias: Percentage of mobile homes estimate MOE )
• EP_CROWD ( type: esriFieldTypeDouble, alias: Percentage of occupied housing units with more people than rooms estimate )
• MP_CROWD ( type: esriFieldTypeDouble, alias: Percentage of occupied housing units with more people than rooms estimate MOE )
• EP_NOVEH ( type: esriFieldTypeDouble, alias: Percentage of households with no vehicle available estimate )
• MP_NOVEH ( type: esriFieldTypeDouble, alias: Percentage of households with no vehicle available estimate MOE )
• EP_GROUPQ ( type: esriFieldTypeDouble, alias: Percentage of persons in group quarters estimate, 2018-2022 ACS )
• MP_GROUPQ ( type: esriFieldTypeDouble, alias: Percentage of persons in group quarters estimate MOE, 2018-2022 ACS )
• EPL_POV150 ( type: esriFieldTypeDouble, alias: Percentile percentage of persons below 150% poverty estimate )
• EPL_UNEMP ( type: esriFieldTypeDouble, alias: Percentile percentage of civilian (age 16+) unemployed estimate )
• EPL_HBURD ( type: esriFieldTypeDouble, alias: Percentile percentage of housing cost-burdened occupied housing units estimate )
• EPL_NOHSDP ( type: esriFieldTypeDouble, alias: Percentile percentage of persons with no high school diploma (age 25+) estimate )
• EPL_UNINSUR ( type: esriFieldTypeDouble, alias: Percentile percentage of uninsured estimate )
• SPL_THEME1 ( type: esriFieldTypeDouble, alias: Sum of series for Socioeconomic Status theme )
• RPL_THEME1 ( type: esriFieldTypeDouble, alias: Percentile ranking for Socioeconomic Status theme summary )
• EPL_AGE65 ( type: esriFieldTypeDouble, alias: Percentile percentage of persons aged 65 and older estimate )
• EPL_AGE17 ( type: esriFieldTypeDouble, alias: Percentile percentage of persons aged 17 and younger estimate )
• EPL_DISABL ( type: esriFieldTypeDouble, alias: Percentile percentage of civilian noninstitutionalized population with a disability estimate )
• EPL_SNGPNT ( type: esriFieldTypeDouble, alias: Percentile percentage of single-parent households with children under 18 estimate )
• EPL_LIMENG ( type: esriFieldTypeDouble, alias: Percentile percentage of persons (age 5+) who speak English "less than well" estimate )
• SPL_THEME2 ( type: esriFieldTypeDouble, alias: Sum of series for Household Characteristics theme )
• RPL_THEME2 ( type: esriFieldTypeDouble, alias: Percentile ranking for Household Characteristics theme summary )
• EPL_MINRTY ( type: esriFieldTypeDouble, alias: Percentile percentage minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not )
• SPL_THEME3 ( type: esriFieldTypeDouble, alias: Sum of series for Racial and Ethnic Minority Status theme )
• RPL_THEME3 ( type: esriFieldTypeDouble, alias: Percentile ranking for Racial and Ethnic Minority Status theme )
• EPL_MUNIT ( type: esriFieldTypeDouble, alias: Percentile percentage housing in structures with 10 or more units estimate )
• EPL_MOBILE ( type: esriFieldTypeDouble, alias: Percentile percentage mobile homes estimate )
• EPL_CROWD ( type: esriFieldTypeDouble, alias: Percentile percentage households with more people than rooms estimate )
• EPL_NOVEH ( type: esriFieldTypeDouble, alias: Percentile percentage households with no vehicle available estimate )
• EPL_GROUPQ ( type: esriFieldTypeDouble, alias: Percentile percentage of persons in group quarters estimate )
• SPL_THEME4 ( type: esriFieldTypeDouble, alias: Sum of series for Housing Type/ Transportation theme )
• RPL_THEME4 ( type: esriFieldTypeDouble, alias: Percentile ranking for Housing Type/ Transportation theme )
• SPL_THEMES ( type: esriFieldTypeDouble, alias: Sum of series themes )
• RPL_THEMES ( type: esriFieldTypeDouble, alias: Overall percentile ranking )
• F_POV150 ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons below 150% poverty is in the 90th percentile (1 = yes, 0 = no) )
• F_UNEMP ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of civilian unemployed is in the 90th percentile (1 = yes, 0 = no) )
• F_HBURD ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of housing cost-burdened occupied housing units is in the 90th percentile (1 = yes, 0 = no) )
• F_NOHSDP ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons with no high school diploma is in the 90th percentile (1 = yes, 0 = no) )
• F_UNINSUR ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of uninsured is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME1 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Socioeconomic Status theme )
• F_AGE65 ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons aged 65 and older is in the 90th percentile (1 = yes, 0 = no) )
• F_AGE17 ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons aged 17 and younger is in the 90th percentile (1 = yes, 0 = no) )
• F_DISABL ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons with a disability is in the 90th percentile (1 = yes, 0 = no) )
• F_SNGPNT ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of single-parent households is in the 90th percentile (1 = yes, 0 = no) )
• F_LIMENG ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage those with limited English is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME2 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Household Characteristics theme )
• F_MINRTY ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of minority is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME3 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Racial and Ethnic Minority Status theme )
• F_MUNIT ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of households in multi-unit housing is in the 90th percentile (1 = yes, 0 = no) )
• F_MOBILE ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of mobile homes is in the 90th percentile (1 = yes, 0 = no) )
• F_CROWD ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of crowded households is in the 90th percentile (1 = yes, 0 = no) )
• F_NOVEH ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of households with no vehicles is in the 90th percentile (1 = yes, 0 = no) )
• F_GROUPQ ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons in group quarters is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME4 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Housing Type/ Transportation theme )
• F_TOTAL ( type: esriFieldTypeSmallInteger, alias: Sum of flags for the four themes )
• E_DAYPOP ( type: esriFieldTypeInteger, alias: Adjunct variable - Estimated daytime population, LandScan 2020 )
• E_NOINT ( type: esriFieldTypeInteger, alias: Adjunct variable - Households without a computer with a broadband Internet subscription estimate, 2018-2022 ACS )
• M_NOINT ( type: esriFieldTypeInteger, alias: Adjunct variable - Households without a computer with a broadband Internet subscription estimate MOE, 2018-2022 ACS )
• E_AFAM ( type: esriFieldTypeInteger, alias: Adjunct variable - Black/African American, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_AFAM ( type: esriFieldTypeInteger, alias: Adjunct variable - Black/African American, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_HISP ( type: esriFieldTypeInteger, alias: Adjunct variable – Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_HISP ( type: esriFieldTypeInteger, alias: Adjunct variable – Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_ASIAN ( type: esriFieldTypeInteger, alias: Adjunct variable – Asian, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_ASIAN ( type: esriFieldTypeInteger, alias: Adjunct variable – Asian, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_AIAN ( type: esriFieldTypeInteger, alias: Adjunct variable - American Indian or Alaska Native, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_AIAN ( type: esriFieldTypeInteger, alias: Adjunct variable - American Indian or Alaska Native, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_NHPI ( type: esriFieldTypeInteger, alias: Adjunct variable - Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_NHPI ( type: esriFieldTypeInteger, alias: Adjunct variable - Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_TWOMORE ( type: esriFieldTypeInteger, alias: Adjunct variable - Two or more races, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_TWOMORE ( type: esriFieldTypeInteger, alias: Adjunct variable - Two or more races, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_OTHERRACE ( type: esriFieldTypeInteger, alias: Adjunct variable - Some other race, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_OTHERRACE ( type: esriFieldTypeInteger, alias: Adjunct variable - Some other race, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_NOINT ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of households without a computer with a broadband Internet subscription estimate, 2018-2022 ACS )
• MP_NOINT ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of households without a computer with a broadband Internet subscription estimate MOE, 2018-2022 ACS )
• EP_AFAM ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Black/African American, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_AFAM ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Black/African American, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_HISP ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_HISP ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_ASIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Asian, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_ASIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Asian, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_AIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of American Indian or Alaska Native, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_AIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of American Indian or Alaska Native, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_NHPI ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_NHPI ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_TWOMORE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of two or more races, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_TWOMORE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of two or more races, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_OTHERRACE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of some other race, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_OTHERRACE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of some other race, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• GRASP_ID ( type: esriFieldTypeOID, alias: GRASP_ID )
• SHAPE ( type: esriFieldTypeGeometry, alias: SHAPE )
• SHAPE.STArea() ( type: esriFieldTypeDouble, alias: SHAPE.STArea() )
• SHAPE.STLength() ( type: esriFieldTypeDouble, alias: SHAPE.STLength() )

Layer: SVI2022 US tract - Theme 4 (14)

Parent Layer: Theme 4 - Housing Type & Transportation

Name: SVI2022 US tract - Theme 4

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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></DIV></DIV></DIV>

Service Item Id: c0b0dc1289854752807963a7314a8b69

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Fields:
• ST ( type: esriFieldTypeString, alias: State-level FIPS code, length: 2 )
• STATE ( type: esriFieldTypeString, alias: State name, length: 255 )
• ST_ABBR ( type: esriFieldTypeString, alias: State abbreviation, length: 2 )
• STCNTY ( type: esriFieldTypeString, alias: County-level FIPS code, length: 5 )
• COUNTY ( type: esriFieldTypeString, alias: County name, length: 255 )
• FIPS ( type: esriFieldTypeString, alias: Tract-level FIPS code, length: 30 )
• LOCATION ( type: esriFieldTypeString, alias: Text description of tract, county, state, length: 255 )
• AREA_SQMI ( type: esriFieldTypeDouble, alias: Tract area in square miles )
• E_TOTPOP ( type: esriFieldTypeInteger, alias: Population estimate, 2018-2022 ACS )
• M_TOTPOP ( type: esriFieldTypeInteger, alias: Population estimate MOE, 2018-2022 ACS )
• E_HU ( type: esriFieldTypeInteger, alias: Housing units estimate, 2018-2022 ACS )
• M_HU ( type: esriFieldTypeInteger, alias: Housing units estimate MOE, 2018-2022 ACS )
• E_HH ( type: esriFieldTypeInteger, alias: Households estimate, 2018-2022 ACS )
• M_HH ( type: esriFieldTypeInteger, alias: Households estimate MOE, 2018-2022 ACS )
• E_POV150 ( type: esriFieldTypeInteger, alias: Persons below 150% poverty estimate, 2018-2022 ACS )
• M_POV150 ( type: esriFieldTypeInteger, alias: Persons below 150% poverty estimate MOE, 2018-2022 ACS )
• E_UNEMP ( type: esriFieldTypeInteger, alias: Civilian (age 16+) unemployed estimate, 2018-2022 ACS )
• M_UNEMP ( type: esriFieldTypeInteger, alias: Civilian (age 16+) unemployed estimate MOE, 2018-2022 ACS )
• 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, 2018-2022 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, 2018-2022 ACS )
• E_NOHSDP ( type: esriFieldTypeInteger, alias: Persons (age 25+) with no high school diploma estimate, 2018-2022 ACS )
• M_NOHSDP ( type: esriFieldTypeInteger, alias: Persons (age 25+) with no high school diploma estimate MOE, 2018-2022 ACS )
• E_UNINSUR ( type: esriFieldTypeInteger, alias: Uninsured in the total civilian noninstitutionalized population estimate, 2018-2022 ACS )
• M_UNINSUR ( type: esriFieldTypeInteger, alias: Uninsured in the total civilian noninstitutionalized population estimate MOE, 2018-2022 ACS )
• E_AGE65 ( type: esriFieldTypeInteger, alias: Persons aged 65 and older estimate, 2018-2022 ACS )
• M_AGE65 ( type: esriFieldTypeInteger, alias: Persons aged 65 and older estimate MOE, 2018-2022 ACS )
• E_AGE17 ( type: esriFieldTypeInteger, alias: Persons aged 17 and younger estimate, 2018-2022 ACS )
• M_AGE17 ( type: esriFieldTypeInteger, alias: Persons aged 17 and younger estimate MOE, 2018-2022 ACS )
• E_DISABL ( type: esriFieldTypeInteger, alias: Civilian noninstitutionalized population with a disability estimate, 2018-2022 ACS )
• M_DISABL ( type: esriFieldTypeInteger, alias: Civilian noninstitutionalized population with a disability estimate MOE, 2018-2022 ACS )
• E_SNGPNT ( type: esriFieldTypeInteger, alias: Single-parent household with children under 18 estimate, 2018-2022 ACS )
• M_SNGPNT ( type: esriFieldTypeInteger, alias: Single-parent household with children under 18 estimate MOE, 2018-2022 ACS )
• E_LIMENG ( type: esriFieldTypeInteger, alias: Persons (age 5+) who speak English "less than well" estimate, 2018-2022 ACS )
• M_LIMENG ( type: esriFieldTypeInteger, alias: Persons (age 5+) who speak English "less than well" estimate MOE, 2018-2022 ACS )
• E_MINRTY ( type: esriFieldTypeInteger, alias: Minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic or Latino; T )
• M_MINRTY ( type: esriFieldTypeInteger, alias: Minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic or Latino; T )
• E_MUNIT ( type: esriFieldTypeInteger, alias: Housing in structures with 10 or more units estimate, 2018-2022 ACS )
• M_MUNIT ( type: esriFieldTypeInteger, alias: Housing in structures with 10 or more units estimate MOE, 2018-2022 ACS )
• E_MOBILE ( type: esriFieldTypeInteger, alias: Mobile homes estimate, 2018-2022 ACS )
• M_MOBILE ( type: esriFieldTypeInteger, alias: Mobile homes estimate MOE, 2018-2022 ACS )
• E_CROWD ( type: esriFieldTypeInteger, alias: At household level (occupied housing units), more people than rooms estimate, 2018-2022 ACS )
• M_CROWD ( type: esriFieldTypeInteger, alias: At household level (occupied housing units), more people than rooms estimate MOE, 2018-2022 ACS )
• E_NOVEH ( type: esriFieldTypeInteger, alias: Households with no vehicle available estimate, 2018-2022 ACS )
• M_NOVEH ( type: esriFieldTypeInteger, alias: Households with no vehicle available estimate MOE, 2018-2022 ACS )
• E_GROUPQ ( type: esriFieldTypeInteger, alias: Persons in group quarters estimate, 2018-2022 ACS )
• M_GROUPQ ( type: esriFieldTypeInteger, alias: Persons in group quarters estimate MOE, 2018-2022 ACS )
• EP_POV150 ( type: esriFieldTypeDouble, alias: Percentage of persons below 150% poverty estimate )
• MP_POV150 ( type: esriFieldTypeDouble, alias: Percentage of persons below 150% poverty estimate MOE )
• EP_UNEMP ( type: esriFieldTypeDouble, alias: Unemployment Rate estimate )
• MP_UNEMP ( type: esriFieldTypeDouble, alias: Unemployment Rate estimate MOE )
• EP_HBURD ( type: esriFieldTypeDouble, alias: Percentage of housing cost-burdened occupied housing units with annual income less than $75,000 (30%+ of income spent on housing costs) estimate, 2018-2022 ACS estimate, 2018-2022 ACS )
• MP_HBURD ( type: esriFieldTypeDouble, alias: Percentage of housing cost-burdened occupied housing units with annual income less than $75,000 (30%+ of income spent on housing costs) estimate MOE, 2018-2022 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 (25+) estimate MOE )
• EP_UNINSUR ( type: esriFieldTypeDouble, alias: Percentage uninsured in the total civilian noninstitutionalized population estimate, 2018-2022 ACS )
• MP_UNINSUR ( type: esriFieldTypeDouble, alias: Percentage uninsured in the total civilian noninstitutionalized population estimate MOE, 2018-2022 ACS )
• EP_AGE65 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 65 and older estimate, 2018-2022 ACS )
• MP_AGE65 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 65 and older estimate MOE, 2018-2022 ACS )
• EP_AGE17 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 17 and younger estimate, 2018-2022 ACS )
• MP_AGE17 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 17 and younger estimate MOE, 2018-2022 ACS )
• EP_DISABL ( type: esriFieldTypeDouble, alias: Percentage of civilian noninstitutionalized population with a disability estimate, 2018-2022 ACS )
• MP_DISABL ( type: esriFieldTypeDouble, alias: Percentage of civilian noninstitutionalized population with a disability estimate MOE, 2018-2022 ACS )
• EP_SNGPNT ( type: esriFieldTypeDouble, alias: Percentage of single-parent households with children under 18 estimate, 2018-2022 ACS )
• MP_SNGPNT ( type: esriFieldTypeDouble, alias: Percentage of single-parent households with children under 18 estimate MOE, 2018-2022 ACS )
• EP_LIMENG ( type: esriFieldTypeDouble, alias: Percentage of persons (age 5+) who speak English "less than well" estimate, 2018-2022 ACS )
• MP_LIMENG ( type: esriFieldTypeDouble, alias: Percentage of persons (age 5+) who speak English "less than well" estimate MOE, 2018-2022 ACS )
• EP_MINRTY ( type: esriFieldTypeDouble, alias: Percentage minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic o )
• MP_MINRTY ( type: esriFieldTypeDouble, alias: Percentage minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic o )
• EP_MUNIT ( type: esriFieldTypeDouble, alias: Percentage of housing in structures with 10 or more units estimate )
• MP_MUNIT ( type: esriFieldTypeDouble, alias: Percentage of housing in structures with 10 or more units estimate MOE )
• EP_MOBILE ( type: esriFieldTypeDouble, alias: Percentage of mobile homes estimate )
• MP_MOBILE ( type: esriFieldTypeDouble, alias: Percentage of mobile homes estimate MOE )
• EP_CROWD ( type: esriFieldTypeDouble, alias: Percentage of occupied housing units with more people than rooms estimate )
• MP_CROWD ( type: esriFieldTypeDouble, alias: Percentage of occupied housing units with more people than rooms estimate MOE )
• EP_NOVEH ( type: esriFieldTypeDouble, alias: Percentage of households with no vehicle available estimate )
• MP_NOVEH ( type: esriFieldTypeDouble, alias: Percentage of households with no vehicle available estimate MOE )
• EP_GROUPQ ( type: esriFieldTypeDouble, alias: Percentage of persons in group quarters estimate, 2018-2022 ACS )
• MP_GROUPQ ( type: esriFieldTypeDouble, alias: Percentage of persons in group quarters estimate MOE, 2018-2022 ACS )
• EPL_POV150 ( type: esriFieldTypeDouble, alias: Percentile percentage of persons below 150% poverty estimate )
• EPL_UNEMP ( type: esriFieldTypeDouble, alias: Percentile percentage of civilian (age 16+) unemployed estimate )
• EPL_HBURD ( type: esriFieldTypeDouble, alias: Percentile percentage of housing cost-burdened occupied housing units estimate )
• EPL_NOHSDP ( type: esriFieldTypeDouble, alias: Percentile percentage of persons with no high school diploma (age 25+) estimate )
• EPL_UNINSUR ( type: esriFieldTypeDouble, alias: Percentile percentage of uninsured estimate )
• SPL_THEME1 ( type: esriFieldTypeDouble, alias: Sum of series for Socioeconomic Status theme )
• RPL_THEME1 ( type: esriFieldTypeDouble, alias: Percentile ranking for Socioeconomic Status theme summary )
• EPL_AGE65 ( type: esriFieldTypeDouble, alias: Percentile percentage of persons aged 65 and older estimate )
• EPL_AGE17 ( type: esriFieldTypeDouble, alias: Percentile percentage of persons aged 17 and younger estimate )
• EPL_DISABL ( type: esriFieldTypeDouble, alias: Percentile percentage of civilian noninstitutionalized population with a disability estimate )
• EPL_SNGPNT ( type: esriFieldTypeDouble, alias: Percentile percentage of single-parent households with children under 18 estimate )
• EPL_LIMENG ( type: esriFieldTypeDouble, alias: Percentile percentage of persons (age 5+) who speak English "less than well" estimate )
• SPL_THEME2 ( type: esriFieldTypeDouble, alias: Sum of series for Household Characteristics theme )
• RPL_THEME2 ( type: esriFieldTypeDouble, alias: Percentile ranking for Household Characteristics theme summary )
• EPL_MINRTY ( type: esriFieldTypeDouble, alias: Percentile percentage minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not )
• SPL_THEME3 ( type: esriFieldTypeDouble, alias: Sum of series for Racial and Ethnic Minority Status theme )
• RPL_THEME3 ( type: esriFieldTypeDouble, alias: Percentile ranking for Racial and Ethnic Minority Status theme )
• EPL_MUNIT ( type: esriFieldTypeDouble, alias: Percentile percentage housing in structures with 10 or more units estimate )
• EPL_MOBILE ( type: esriFieldTypeDouble, alias: Percentile percentage mobile homes estimate )
• EPL_CROWD ( type: esriFieldTypeDouble, alias: Percentile percentage households with more people than rooms estimate )
• EPL_NOVEH ( type: esriFieldTypeDouble, alias: Percentile percentage households with no vehicle available estimate )
• EPL_GROUPQ ( type: esriFieldTypeDouble, alias: Percentile percentage of persons in group quarters estimate )
• SPL_THEME4 ( type: esriFieldTypeDouble, alias: Sum of series for Housing Type/ Transportation theme )
• RPL_THEME4 ( type: esriFieldTypeDouble, alias: Percentile ranking for Housing Type/ Transportation theme )
• SPL_THEMES ( type: esriFieldTypeDouble, alias: Sum of series themes )
• RPL_THEMES ( type: esriFieldTypeDouble, alias: Overall percentile ranking )
• F_POV150 ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons below 150% poverty is in the 90th percentile (1 = yes, 0 = no) )
• F_UNEMP ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of civilian unemployed is in the 90th percentile (1 = yes, 0 = no) )
• F_HBURD ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of housing cost-burdened occupied housing units is in the 90th percentile (1 = yes, 0 = no) )
• F_NOHSDP ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons with no high school diploma is in the 90th percentile (1 = yes, 0 = no) )
• F_UNINSUR ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of uninsured is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME1 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Socioeconomic Status theme )
• F_AGE65 ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons aged 65 and older is in the 90th percentile (1 = yes, 0 = no) )
• F_AGE17 ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons aged 17 and younger is in the 90th percentile (1 = yes, 0 = no) )
• F_DISABL ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons with a disability is in the 90th percentile (1 = yes, 0 = no) )
• F_SNGPNT ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of single-parent households is in the 90th percentile (1 = yes, 0 = no) )
• F_LIMENG ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage those with limited English is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME2 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Household Characteristics theme )
• F_MINRTY ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of minority is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME3 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Racial and Ethnic Minority Status theme )
• F_MUNIT ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of households in multi-unit housing is in the 90th percentile (1 = yes, 0 = no) )
• F_MOBILE ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of mobile homes is in the 90th percentile (1 = yes, 0 = no) )
• F_CROWD ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of crowded households is in the 90th percentile (1 = yes, 0 = no) )
• F_NOVEH ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of households with no vehicles is in the 90th percentile (1 = yes, 0 = no) )
• F_GROUPQ ( type: esriFieldTypeSmallInteger, alias: Flag - the percentage of persons in group quarters is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME4 ( type: esriFieldTypeSmallInteger, alias: Sum of flags for Housing Type/ Transportation theme )
• F_TOTAL ( type: esriFieldTypeSmallInteger, alias: Sum of flags for the four themes )
• E_DAYPOP ( type: esriFieldTypeInteger, alias: Adjunct variable - Estimated daytime population, LandScan 2020 )
• E_NOINT ( type: esriFieldTypeInteger, alias: Adjunct variable - Households without a computer with a broadband Internet subscription estimate, 2018-2022 ACS )
• M_NOINT ( type: esriFieldTypeInteger, alias: Adjunct variable - Households without a computer with a broadband Internet subscription estimate MOE, 2018-2022 ACS )
• E_AFAM ( type: esriFieldTypeInteger, alias: Adjunct variable - Black/African American, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_AFAM ( type: esriFieldTypeInteger, alias: Adjunct variable - Black/African American, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_HISP ( type: esriFieldTypeInteger, alias: Adjunct variable – Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_HISP ( type: esriFieldTypeInteger, alias: Adjunct variable – Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_ASIAN ( type: esriFieldTypeInteger, alias: Adjunct variable – Asian, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_ASIAN ( type: esriFieldTypeInteger, alias: Adjunct variable – Asian, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_AIAN ( type: esriFieldTypeInteger, alias: Adjunct variable - American Indian or Alaska Native, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_AIAN ( type: esriFieldTypeInteger, alias: Adjunct variable - American Indian or Alaska Native, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_NHPI ( type: esriFieldTypeInteger, alias: Adjunct variable - Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_NHPI ( type: esriFieldTypeInteger, alias: Adjunct variable - Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_TWOMORE ( type: esriFieldTypeInteger, alias: Adjunct variable - Two or more races, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_TWOMORE ( type: esriFieldTypeInteger, alias: Adjunct variable - Two or more races, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• E_OTHERRACE ( type: esriFieldTypeInteger, alias: Adjunct variable - Some other race, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• M_OTHERRACE ( type: esriFieldTypeInteger, alias: Adjunct variable - Some other race, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_NOINT ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of households without a computer with a broadband Internet subscription estimate, 2018-2022 ACS )
• MP_NOINT ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of households without a computer with a broadband Internet subscription estimate MOE, 2018-2022 ACS )
• EP_AFAM ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Black/African American, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_AFAM ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Black/African American, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_HISP ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_HISP ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_ASIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Asian, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_ASIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Asian, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_AIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of American Indian or Alaska Native, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_AIAN ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of American Indian or Alaska Native, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_NHPI ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_NHPI ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_TWOMORE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of two or more races, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_TWOMORE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of two or more races, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• EP_OTHERRACE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of some other race, not Hispanic or Latino persons estimate, 2018-2022 ACS )
• MP_OTHERRACE ( type: esriFieldTypeDouble, alias: Adjunct variable - Percentage of some other race, not Hispanic or Latino persons estimate MOE, 2018-2022 ACS )
• GRASP_ID ( type: esriFieldTypeOID, alias: GRASP_ID )
• SHAPE ( type: esriFieldTypeGeometry, alias: SHAPE )
• SHAPE.STArea() ( type: esriFieldTypeDouble, alias: SHAPE.STArea() )
• SHAPE.STLength() ( type: esriFieldTypeDouble, alias: SHAPE.STLength() )