Name: Social Vulnerability Index

Display Field: STATE

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: The feature class provides an in-depth representation of census tracts within Baltimore County, originating from the esteemed Centers for Disease Control. It is a crucial segment of the CDC's 2020 Social Vulnerability Index (SVI), a tool designed to assess and determine the resilience of communities when confronted by external stresses on human health, such as natural disasters or disease outbreaks. The SVI is underpinned by factors like poverty, lack of access to transportation, and crowded housing, among other variables. Each census tract polygon in this dataset encompasses comprehensive data on these factors, providing researchers, policymakers, and public health officials an essential tool to identify areas in Baltimore County that may need support in times of adversity. The dataset aids in the spatial interpretation of social vulnerability, enabling informed decisions on resource allocation, emergency preparedness, and community engagement initiatives.

Copyright Text: Center for Disease Control (CDC), Baltimore County, BCSTAT

Default Visibility: true

MaxRecordCount: 2000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 0

Max Scale: 0

Supports Advanced Queries: true

Supports Statistics: true

Has Labels: false

Can Modify Layer: true

Can Scale Symbols: false

Use Standardized Queries: true

Supports Datum Transformation: true

Extent:

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YMin: 557203.203102544
XMax: 1502123.79071514
YMax: 748554.222630709
Spatial Reference: 2893  (2893)

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Advanced Query Capabilities:

Supports Statistics: true
Supports OrderBy: true
Supports Distinct: true
Supports Pagination: true
Supports TrueCurve: true
Supports Returning Query Extent: true
Supports Query With Distance: true
Supports Sql Expression: true
Supports Query With ResultType: false
Supports Returning Geometry Centroid: false
Supports Binning LOD: false
Supports Query With LOD Spatial Reference: false

HasZ: false

HasM: false

Has Attachments: false

HTML Popup Type: esriServerHTMLPopupTypeAsHTMLText

Type ID Field: null

Fields:

• OBJECTID ( type: esriFieldTypeOID, alias: OBJECTID )
• ST ( type: esriFieldTypeInteger, alias: State-level FIPS code )
• STATE ( type: esriFieldTypeString, alias: State name, length: 50 )
• ST_ABBR ( type: esriFieldTypeString, alias: State abbreviation, length: 2 )
• STCNTY ( type: esriFieldTypeInteger, alias: County-level FIPS code )
• COUNTY ( type: esriFieldTypeString, alias: County name, length: 25 )
• GEOID20 ( type: esriFieldTypeString, alias: Tract-level FIPS code, length: 12 )
• LOCATION ( type: esriFieldTypeString, alias: Text description of tract, county, state, length: 150 )
• AREA_SQMI ( type: esriFieldTypeDouble, alias: Tract area in square miles )
• E_TOTPOP ( type: esriFieldTypeInteger, alias: Population estimate, 2016-2020 ACS )
• M_TOTPOP ( type: esriFieldTypeInteger, alias: Population estimate MOE, 2016-2020 ACS )
• E_HU ( type: esriFieldTypeInteger, alias: Housing units estimate, 2016-2020 ACS )
• M_HU ( type: esriFieldTypeInteger, alias: Housing units estimate MOE, 2016-2020 ACS )
• E_HH ( type: esriFieldTypeInteger, alias: Households estimate, 2016-2020 ACS )
• M_HH ( type: esriFieldTypeInteger, alias: Households estimate MOE, 2016-2020 ACS )
• E_POV150 ( type: esriFieldTypeInteger, alias: Persons below 150% poverty estimate, 2016-2020 ACS )
• M_POV150 ( type: esriFieldTypeInteger, alias: Persons below 150% poverty estimate MOE, 2016-2020 ACS )
• E_UNEMP ( type: esriFieldTypeInteger, alias: Civilian (age 16+) unemployed estimate, 2016-2020 ACS )
• M_UNEMP ( type: esriFieldTypeInteger, alias: Civilian (age 16+) unemployed estimate MOE, 2016-2020 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, 2016-2020 ACS )
• M_HBURD ( type: esriFieldTypeInteger, alias: Housing cost-burdened occupied housing units with annual income less than $75,000 (30%+ of income spent on housing costs) estimate MOE, 2016-2020 ACS )
• E_NOHSDP ( type: esriFieldTypeInteger, alias: Persons (age 25+) with no high school diploma estimate, 2016-2020 ACS )
• M_NOHSDP ( type: esriFieldTypeInteger, alias: Persons (age 25+) with no high school diploma estimate MOE, 2016-2020 ACS )
• E_UNINSUR ( type: esriFieldTypeInteger, alias: Uninsured in the total civilian noninstitutionalized population estimate, 2016-2020 ACS )
• M_UNINSUR ( type: esriFieldTypeInteger, alias: Uninsured in the total civilian noninstitutionalized population estimate MOE, 2016-2020 ACS )
• E_AGE65 ( type: esriFieldTypeInteger, alias: Persons aged 65 and older estimate, 2016-2020 ACS )
• M_AGE65 ( type: esriFieldTypeInteger, alias: Persons aged 65 and older estimate MOE, 2016-2020 ACS )
• E_AGE17 ( type: esriFieldTypeInteger, alias: Persons aged 17 and younger estimate, 2016-2020 ACS )
• M_AGE17 ( type: esriFieldTypeInteger, alias: Persons aged 17 and younger estimate MOE, 2016-2020 ACS )
• E_DISABL ( type: esriFieldTypeInteger, alias: Civilian noninstitutionalized population with a disability estimate, 2016-2020 ACS )
• M_DISABL ( type: esriFieldTypeInteger, alias: Civilian noninstitutionalized population with a disability estimate MOE, 2016-2020 ACS )
• E_SNGPNT ( type: esriFieldTypeInteger, alias: Single-parent household with children under 18 estimate, 2016-2020 ACS )
• M_SNGPNT ( type: esriFieldTypeInteger, alias: Single-parent household with children under 18 estimate MOE, 2016-2020 ACS )
• E_LIMENG ( type: esriFieldTypeInteger, alias: Persons (age 5+) who speak English [double_quote]less than well[double_quote] estimate, 2016-2020 ACS )
• M_LIMENG ( type: esriFieldTypeInteger, alias: Persons (age 5+) who speak English [double_quote]less than well[double_quote] estimate MOE, 2016-2020 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, 2016-2020 ACS )
• M_MUNIT ( type: esriFieldTypeInteger, alias: Housing in structures with 10 or more units estimate MOE, 2016-2020 ACS )
• E_MOBILE ( type: esriFieldTypeInteger, alias: Mobile homes estimate, 2016-2020 ACS )
• M_MOBILE ( type: esriFieldTypeInteger, alias: Mobile homes estimate MOE, 2016-2020 ACS )
• E_CROWD ( type: esriFieldTypeInteger, alias: At household level (occupied housing units), more people than rooms estimate, 2016-2020 ACS )
• M_CROWD ( type: esriFieldTypeInteger, alias: At household level (occupied housing units), more people than rooms estimate MOE, 2016-2020 ACS )
• E_NOVEH ( type: esriFieldTypeInteger, alias: Households with no vehicle available estimate, 2016-2020 ACS )
• M_NOVEH ( type: esriFieldTypeInteger, alias: Households with no vehicle available estimate MOE, 2016-2020 ACS )
• E_GROUPQ ( type: esriFieldTypeInteger, alias: Persons in group quarters estimate, 2016-2020 ACS )
• M_GROUPQ ( type: esriFieldTypeInteger, alias: Persons in group quarters estimate MOE, 2016-2020 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, 2016-2020 ACS estimate, 2016-2020 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, 2016-2020 ACS )
• EP_NOHSDP ( type: esriFieldTypeDouble, alias: Percentage of persons with no high school diploma (age 25+) estimate )
• MP_NOHSDP ( type: esriFieldTypeDouble, alias: Percentage of persons with no high school diploma (25+) estimate MOE )
• EP_UNINSUR ( type: esriFieldTypeDouble, alias: Percentage uninsured in the total civilian noninstitutionalized population estimate, 2016-2020 ACS )
• MP_UNINSUR ( type: esriFieldTypeDouble, alias: Percentage uninsured in the total civilian noninstitutionalized population estimate MOE, 2016-2020 ACS )
• EP_AGE65 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 65 and older estimate, 2016-2020 ACS )
• MP_AGE65 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 65 and older estimate MOE, 2016-2020 ACS )
• EP_AGE17 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 17 and younger estimate, 2016-2020 ACS )
• MP_AGE17 ( type: esriFieldTypeDouble, alias: Percentage of persons aged 17 and younger estimate MOE, 2016-2020 ACS )
• EP_DISABL ( type: esriFieldTypeDouble, alias: Percentage of civilian noninstitutionalized population with a disability estimate, 2016-2020 ACS )
• MP_DISABL ( type: esriFieldTypeDouble, alias: Percentage of civilian noninstitutionalized population with a disability estimate MOE, 2016-2020 ACS )
• EP_SNGPNT ( type: esriFieldTypeDouble, alias: Percentage of single-parent households with children under 18 estimate, 2016-2020 ACS )
• MP_SNGPNT ( type: esriFieldTypeDouble, alias: Percentage of single-parent households with children under 18 estimate MOE, 2016-2020 ACS )
• EP_LIMENG ( type: esriFieldTypeDouble, alias: Percentage of persons (age 5+) who speak English [double_quote]less than well[double_quote] estimate, 2016-2020 ACS )
• MP_LIMENG ( type: esriFieldTypeDouble, alias: Percentage of persons (age 5+) who speak English [double_quote]less than well[double_quote] estimate MOE, 2016-2020 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, 2016-2020 ACS )
• MP_GROUPQ ( type: esriFieldTypeDouble, alias: Percentage of persons in group quarters estimate MOE, 2016-2020 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 [double_quote]less than well[double_quote] 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: esriFieldTypeInteger, alias: Flag - the percentage of persons below 150% poverty is in the 90th percentile (1 = yes, 0 = no) )
• F_UNEMP ( type: esriFieldTypeInteger, alias: Flag - the percentage of civilian unemployed is in the 90th percentile (1 = yes, 0 = no) )
• F_HBURD ( type: esriFieldTypeInteger, alias: Flag - the percentage of housing cost-burdened occupied housing units is in the 90th percentile (1 = yes, 0 = no) )
• F_NOHSDP ( type: esriFieldTypeInteger, alias: Flag - the percentage of persons with no high school diploma is in the 90th percentile (1 = yes, 0 = no) )
• F_UNINSUR ( type: esriFieldTypeInteger, alias: Flag - the percentage of uninsured is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME1 ( type: esriFieldTypeInteger, alias: Sum of flags for Socioeconomic Status theme )
• F_AGE65 ( type: esriFieldTypeInteger, alias: Flag - the percentage of persons aged 65 and older is in the 90th percentile (1 = yes, 0 = no) )
• F_AGE17 ( type: esriFieldTypeInteger, alias: Flag - the percentage of persons aged 17 and younger is in the 90th percentile (1 = yes, 0 = no) )
• F_DISABL ( type: esriFieldTypeInteger, alias: Flag - the percentage of persons with a disability is in the 90th percentile (1 = yes, 0 = no) )
• F_SNGPNT ( type: esriFieldTypeInteger, alias: Flag - the percentage of single-parent households is in the 90th percentile (1 = yes, 0 = no) )
• F_LIMENG ( type: esriFieldTypeInteger, alias: Flag - the percentage those with limited English is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME2 ( type: esriFieldTypeInteger, alias: Sum of flags for Household Characteristics theme )
• F_MINRTY ( type: esriFieldTypeInteger, alias: Flag - the percentage of minority is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME3 ( type: esriFieldTypeInteger, alias: Sum of flags for Racial and Ethnic Minority Status theme )
• F_MUNIT ( type: esriFieldTypeInteger, alias: Flag - the percentage of households in multi-unit housing is in the 90th percentile (1 = yes, 0 = no) )
• F_MOBILE ( type: esriFieldTypeInteger, alias: Flag - the percentage of mobile homes is in the 90th percentile (1 = yes, 0 = no) )
• F_CROWD ( type: esriFieldTypeInteger, alias: Flag - the percentage of crowded households is in the 90th percentile (1 = yes, 0 = no) )
• F_NOVEH ( type: esriFieldTypeInteger, alias: Flag - the percentage of households with no vehicles is in the 90th percentile (1 = yes, 0 = no) )
• F_GROUPQ ( type: esriFieldTypeInteger, alias: Flag - the percentage of persons in group quarters is in the 90th percentile (1 = yes, 0 = no) )
• F_THEME4 ( type: esriFieldTypeInteger, alias: Sum of flags for Housing Type/ Transportation theme )
• F_TOTAL ( type: esriFieldTypeInteger, alias: Sum of flags for the four themes )
• E_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, 2016-2020 ACS )
• M_NOINT ( type: esriFieldTypeInteger, alias: Adjunct variable -Households without a computer with a broadband Internet subscription estimate MOE, 2016-2020 ACS )
• E_AFAM ( type: esriFieldTypeInteger, alias: Adjunct variable -Black/African American, not Hispanic or Latino persons estimate, 2016-2020 ACS )
• M_AFAM ( type: esriFieldTypeInteger, alias: Adjunct variable -Black/African American, not Hispanic or Latino persons estimate MOE, 2016-2020 ACS )
• E_HISP ( type: esriFieldTypeInteger, alias: Adjunct variable – Hispanic or Latino persons estimate, 2016-2020 ACS )
• M_HISP ( type: esriFieldTypeInteger, alias: Adjunct variable – Hispanic or Latino persons estimate MOE, 2016-2020 ACS )
• E_ASIAN ( type: esriFieldTypeInteger, alias: Adjunct variable – Asian, not Hispanic or Latino persons estimate, 2016-2020 ACS )
• M_ASIAN ( type: esriFieldTypeInteger, alias: Adjunct variable – Asian, not Hispanic or Latino persons estimate MOE, 2016-2020 ACS )
• E_AIAN ( type: esriFieldTypeInteger, alias: Adjunct variable -American Indian or Alaska Native, not Hispanic or Latino persons estimate, 2016-2020 ACS )
• M_AIAN ( type: esriFieldTypeInteger, alias: Adjunct variable -American Indian or Alaska Native, not Hispanic or Latino persons estimate MOE, 2016-2020 ACS )
• E_NHPI ( type: esriFieldTypeInteger, alias: Adjunct variable -Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate, 2016-2020 ACS )
• M_NHPI ( type: esriFieldTypeInteger, alias: Adjunct variable -Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate MOE, 2016-2020 ACS )
• E_TWOMORE ( type: esriFieldTypeInteger, alias: Adjunct variable -Two or more races, not Hispanic or Latino persons estimate, 2016-2020 ACS )
• M_TWOMORE ( type: esriFieldTypeInteger, alias: Adjunct variable -Two or more races, not Hispanic or Latino persons estimate MOE, 2016-2020 ACS )
• E_OTHERRACE ( type: esriFieldTypeInteger, alias: Adjunct variable -Some other race, not Hispanic or Latino persons estimate, 2016-2020 ACS )
• M_OTHERRACE ( type: esriFieldTypeInteger, alias: Adjunct variable -Some other race, not Hispanic or Latino persons estimate MOE, 2016-2020 ACS )
• EP_NOINT ( type: esriFieldTypeDouble, alias: Adjunct variable -Percentage of households without a computer with a broadband Internet subscription estimate, 2016-2020 ACS )
• MP_NOINT ( type: esriFieldTypeDouble, alias: Adjunct variable -Percentage of households without a computer with a broadband Internet subscription estimate MOE, 2016-2020 ACS )
• EP_AFAM ( type: esriFieldTypeDouble, alias: Adjunct variable -Percentage of Black/African American, not Hispanic or Latino persons estimate, 2016-2020 ACS )
• MP_AFAM ( type: esriFieldTypeDouble, alias: Adjunct variable -Percentage of Black/African American, not Hispanic or Latino persons estimate MOE, 2016-2020 ACS )
• EP_HISP ( type: esriFieldTypeDouble, alias: Adjunct variable -Percentage of Hispanic or Latino persons estimate, 2016-2020 ACS )
• MP_HISP ( type: esriFieldTypeDouble, alias: Adjunct variable -Percentage of Hispanic or Latino persons estimate MOE, 2016-2020 ACS )
• EP_ASIAN ( type: esriFieldTypeDouble, alias: Adjunct variable -Percentage of Asian, not Hispanic or Latino persons estimate, 2016-2020 ACS )
• MP_ASIAN ( type: esriFieldTypeDouble, alias: Adjunct variable -Percentage of Asian, not Hispanic or Latino persons estimate MOE, 2016-2020 ACS )
• EP_AIAN ( type: esriFieldTypeDouble, alias: Adjunct variable -Percentage of American Indian or Alaska Native, not Hispanic or Latino persons estimate, 2016-2020 ACS )
• MP_AIAN ( type: esriFieldTypeDouble, alias: Adjunct variable -Percentage of American Indian or Alaska Native, not Hispanic or Latino persons estimate MOE, 2016-2020 ACS )
• EP_NHPI ( type: esriFieldTypeDouble, alias: Adjunct variable -Percentage of Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate, 2016-2020 ACS )
• MP_NHPI ( type: esriFieldTypeDouble, alias: Adjunct variable -Percentage of Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate MOE, 2016-2020 ACS )
• EP_TWOMORE ( type: esriFieldTypeDouble, alias: Adjunct variable -Percentage of two or more races, not Hispanic or Latino persons estimate, 2016-2020 ACS )
• MP_TWOMORE ( type: esriFieldTypeDouble, alias: Adjunct variable -Percentage of two or more races, not Hispanic or Latino persons estimate MOE, 2016-2020 ACS )
• EP_OTHERRACE ( type: esriFieldTypeDouble, alias: Adjunct variable -Percentage of some other race, not Hispanic or Latino persons estimate, 2016-2020 ACS )
• MP_OTHERRACE ( type: esriFieldTypeDouble, alias: Adjunct variable -Percentage of some other race, not Hispanic or Latino persons estimate MOE, 2016-2020 ACS )
• NOTES ( type: esriFieldTypeString, alias: Notes, length: 2000 )
• SHAPE ( type: esriFieldTypeGeometry, alias: SHAPE )
• GLOBALID ( type: esriFieldTypeGlobalID, alias: GLOBALID, length: 38 )
• CREATED_USER ( type: esriFieldTypeString, alias: CREATED_USER, length: 255 )
• CREATED_DATE ( type: esriFieldTypeDate, alias: CREATED_DATE, length: 8 )
• LAST_EDITED_USER ( type: esriFieldTypeString, alias: LAST_EDITED_USER, length: 255 )
• LAST_EDITED_DATE ( type: esriFieldTypeDate, alias: LAST_EDITED_DATE, length: 8 )
• SHAPE.AREA ( type: esriFieldTypeDouble, alias: SHAPE.AREA )
• SHAPE.LEN ( type: esriFieldTypeDouble, alias: SHAPE.LEN )

Supported Operations:   Query   Query Attachments   Query Analytic   Generate Renderer   Return Updates

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