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Layer: SB450 Potential Voting Centers (0)

Name: SB450 Potential Voting Centers

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 7 0;"><SPAN>To meet the requirements for SB450 5 main demographic categories were used. Language spoken at home with Limited Ability to Speak English, Vehicle availability, Disability Status, Median household income, percentage of registered voters, all by census tract. For each of these SB450 dictated which end of the spectrum was of importance. High percentage of people with limited ability to speak English, Lack of a vehicle at a household, Disability status, High number of citizens not yet registered to vote, and lower income household are the subject of the demographic aspect of SB 450.</SPAN></P></DIV></DIV></DIV>

Copyright Text: County of Sonoma ISD-GIS

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Layer: SB450 Summary Data by Census Tract (1)

Name: SB450 Summary Data by Census Tract

Display Field: NAME

Type: Feature Layer

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 7 0;"><SPAN>To meet the requirements for SB450 5 main demographic categories were used. Language spoken at home with Limited Ability to Speak English, Vehicle availability, Disability Status, Median household income, percentage of registered voters, all by census tract. For each of these SB450 dictated which end of the spectrum was of importance. High percentage of people with limited ability to speak English, Lack of a vehicle at a household, Disability status, High number of citizens not yet registered to vote, and lower income household are the subject of the demographic aspect of SB 450.</SPAN></P></DIV></DIV></DIV>

Copyright Text: County of Sonoma ISD-GIS

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Layer: SB450 Voter Registration Change (11)

Name: SB450 Voter Registration Change

Display Field: Loc_name

Type: Feature Layer

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Layer was created to be used by the Registrar of Voters to aid in the determination of ballot drop box locations and voter information center locations in the upcoming 2020 election. This shows where in Sonoma County there has been an increase or decrease in registereds voters. A precinct with a large increase in registered voters will have a higher need for a ballot drop box location or voting information center.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>

Copyright Text: Sonoma County, Registrar of Voters, Information Systems Department GIS

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Layer: SB450 Voter Population Centers (10)

Name: SB450 Voter Population Centers

Display Field: Join_Count

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Layer was created to be used by the Registrar of Voters to aid in the determination of ballot drop box locations and voter information center locations in the upcoming 2020 election. Voter population centers were determined using the methodology used by Sacramento County outlined here (https://sacramentocounty.maps.arcgis.com/apps/MapJournal/index.html?appid=7d522d534df849e58c11418566919472#). As noted the criterion in the Senate Bill does not clarify what threshold qualifies as a "Population Center". Due to the demographic differences of Sacramento County and Sonoma County the parameters for the method used were slightly different. In this layer a population center is defined as any area with greater than 1,000 voters per cluster.</SPAN></P><P><SPAN /></P><P><SPAN /></P></DIV></DIV></DIV>

Copyright Text: Sonoma County, Registrar of Voters, Information Systems Department GIS

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Layer: SB450 Registered Voter Density (9)

Name: SB450 Registered Voter Density

Display Field: TARGET_FID

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Layer was created to be used by the Registrar of Voters to aid in the determination of ballot drop box locations and voter information center locations in the upcoming 2020 election. Rather than using a heat map (Kernel Density) we chose to maintain the true values of registered voter data and perform a spatial join with .5 mile hexagons. This shows how many voters are within a .5 mile radius rather than relying on interpolation to determine densities.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>

Copyright Text: Sonoma County, Registrar of Voters, Information Systems Department GIS

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Layer: SB450 Distance from Voter Population Center (8)

Name: SB450 Distance from Voter Population Center

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Layer was created to be used by the Registrar of Voters to aid in the determination of ballot drop box locations and voter information center locations in the upcoming 2020 election. Buffer distances were created around voter population centers using 1 mile, 2 miles, 3 miles, 5 miles, 10 miles, and 20 mile intervals. The closer to a voter population center the higher need for a ballot drop box or voter information center in the area to reduce distance travelled. Voter population centers were determined using the methodology used by Sacramento County outlined here (https://sacramentocounty.maps.arcgis.com/apps/MapJournal/index.html?appid=7d522d534df849e58c11418566919472#). As noted the criterion in the Senate Bill does not clarify what threshold qualifies as a "Population Center". Due to the demographic differences of Sacramento County and Sonoma County the parameters for the method used were slightly different. In this layer a population center is defined as any area with greater than 1,000 voters per cluster. </SPAN></P><P><SPAN /></P></DIV></DIV></DIV>

Copyright Text: Sonoma County, Registrar of Voters, Information Systems Department GIS

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Layer: SB450 Distance from Transportation Stations (7)

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Layer was created to be used by the Registrar of Voters to aid in the determination of ballot drop box locations and voter information center locations in the upcoming 2020 election. Buffer distances were created around transportation stations using 0.1 miles, 0.25 miles, 0.5 miles, 0.75 miles, 1 mile, 2 mile, and 3 mile intervals. The closer to a transportation station the higher need for a ballot drop box or voter information center in the area to reduce distance travelled.</SPAN></P></DIV></DIV></DIV>

Copyright Text: Sonoma County, Registrar of Voters, Information Systems Department GIS

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Layer: SB450 ACS Vehicle Availability Variables Boundaries (6)

Name: SB450 ACS Vehicle Availability Variables Boundaries

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer shows household size by number of vehicles available. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. </SPAN></P><P><SPAN /></P><P><SPAN>This layer is symbolized to show the percentage of households with no vehicle available. 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Copyright Text: U.S. Census Bureau's American Community Survey (ACS) 2014-2018 5-year estimates, Table(s) B08201

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Layer: SB450 ACS Median Household Income Variables Boundaries (5)

Name: SB450 ACS Median Household Income Variables Boundaries

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer shows median household income by race and by age of householder. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Median income and income source is based on income in past 12 months of survey. </SPAN></P><P><SPAN /></P><P><SPAN>This layer is symbolized to show median household income. 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The effect of nonsampling error is not represented in these tables.</SPAN></P><P><SPAN /></P><P><SPAN>Data Processing Notes:</SPAN></P><P><SPAN>This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.</SPAN></P><P><SPAN>Boundaries come from the US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). </SPAN></P><P><SPAN>The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico</SPAN></P><P><SPAN>Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).</SPAN></P><P><SPAN>Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.</SPAN></P><P><SPAN>Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.</SPAN></P><P><SPAN>Negative values (e.g., -555555...) have been set to null. These negative values exist in the raw API data to indicate the following situations:</SPAN></P><P><SPAN>The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.</SPAN></P><P><SPAN>Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.</SPAN></P><P><SPAN>The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.</SPAN></P><P><SPAN>The estimate is controlled. 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Copyright Text: U.S. Census Bureau's American Community Survey (ACS) 2014-2018 5-year estimates, Table(s) B19013B, B19013C, B19013D, B19013E, B19013F, B19013G, B19013H, B19013I, B19049, B19053

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Layer: SB450 ACS Language Spoken at Home Variables Boundaries 2011-2015 (4)

Name: SB450 ACS Language Spoken at Home Variables Boundaries 2011-2015

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer shows language group of language spoken at home by age. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. </SPAN></P><P><SPAN /></P><P><SPAN>This layer is symbolized to show the percentage of the population age 5+ who speak Spanish at home. 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The effect of nonsampling error is not represented in these tables.</SPAN></P><P><SPAN /></P><P><SPAN>Data Processing Notes:</SPAN></P><P><SPAN>This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.</SPAN></P><P><SPAN>Boundaries come from the US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). </SPAN></P><P><SPAN>The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico</SPAN></P><P><SPAN>Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).</SPAN></P><P><SPAN>Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.</SPAN></P><P><SPAN>Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.</SPAN></P><P><SPAN>Negative values (e.g., -555555...) have been set to null. 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Copyright Text: U.S. Census Bureau's American Community Survey (ACS) 2014-2018 5-year estimates, Table(s) B16007

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• B16001_calc_pctScE ( type: esriFieldTypeDouble, alias: Percent of population 5 years and over who speak Scandinavian languages )
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• B16001_calc_pctGkE ( type: esriFieldTypeDouble, alias: Percent of population 5 years and over who speak Greek )
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• B16001_calc_pctSrCBilingualE ( type: esriFieldTypeDouble, alias: Percent of Serbo-Croatian speakers who speak English very well )
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• B16001_calc_pctOSE ( type: esriFieldTypeDouble, alias: Percent of population 5 years and over who speak other Slavic languages )
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• B16001_calc_pctFaE ( type: esriFieldTypeDouble, alias: Percent of population 5 years and over who speak Persian )
• B16001_calc_pctFaBilingualE ( type: esriFieldTypeDouble, alias: Percent of Persian speakers who speak English very well )
• B16001_calc_pctFaLimEngE ( type: esriFieldTypeDouble, alias: Percent of Persian speakers who speak English less than very well )
• B16001_calc_pctGuE ( type: esriFieldTypeDouble, alias: Percent of population 5 years and over who speak Gujarati )
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• B16001_calc_pctHiE ( type: esriFieldTypeDouble, alias: Percent of population 5 years and over who speak Hindi )
• B16001_calc_pctHiBilingualE ( type: esriFieldTypeDouble, alias: Percent of Hindi speakers who speak English very well )
• B16001_calc_pctHiLimEngE ( type: esriFieldTypeDouble, alias: Percent of Hindi speakers who speak English less than very well )
• B16001_calc_pctUrE ( type: esriFieldTypeDouble, alias: Percent of population 5 years and over who speak Urdu )
• B16001_calc_pctUrBilingualE ( type: esriFieldTypeDouble, alias: Percent of Urdu speakers who speak English very well )
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• B16001_calc_pctOIE ( type: esriFieldTypeDouble, alias: Percent of population 5 years and over who speak other Indic languages )
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• B16001_calc_pctCnE ( type: esriFieldTypeDouble, alias: Percent of population 5 years and over who speak Chinese )
• B16001_calc_pctCnBilingualE ( type: esriFieldTypeDouble, alias: Percent of Chinese speakers who speak English very well )
• B16001_calc_pctCnLimEngE ( type: esriFieldTypeDouble, alias: Percent of Chinese speakers who speak English less than very well )
• B16001_calc_pctJpE ( type: esriFieldTypeDouble, alias: Percent of population 5 years and over who speak Japanese )
• B16001_calc_pctJpBilingualE ( type: esriFieldTypeDouble, alias: Percent of Japanese speakers who speak English very well )
• B16001_calc_pctJpLimEngE ( type: esriFieldTypeDouble, alias: Percent of Japanese speakers who speak English less than very well )
• B16001_calc_pctKrE ( type: esriFieldTypeDouble, alias: Percent of population 5 years and over who speak Korean )
• B16001_calc_pctKrBilingualE ( type: esriFieldTypeDouble, alias: Percent of Korean speakers who speak English very well )
• B16001_calc_pctKrLimEngE ( type: esriFieldTypeDouble, alias: Percent of Korean speakers who speak English less than very well )
• B16001_calc_pctKhE ( type: esriFieldTypeDouble, alias: Percent of population 5 years and over who speak Mon-Khmer, Cambodian )
• B16001_calc_pctKhBilingualE ( type: esriFieldTypeDouble, alias: Percent of Mon-Khmer, Cambodian speakers who speak English very well )
• B16001_calc_pctKhLimEngE ( type: esriFieldTypeDouble, alias: Percent of Mon-Khmer, Cambodian speakers who speak English less than very well )
• B16001_calc_pctHmE ( type: esriFieldTypeDouble, alias: Percent of population 5 years and over who speak Hmong )
• B16001_calc_pctHmBilingualE ( type: esriFieldTypeDouble, alias: Percent of Hmong speakers who speak English very well )
• B16001_calc_pctHmLimEngE ( type: esriFieldTypeDouble, alias: Percent of Hmong speakers who speak English less than very well )
• B16001_calc_pctThE ( type: esriFieldTypeDouble, alias: Percent of population 5 years and over who speak Thai )
• B16001_calc_pctThBilingualE ( type: esriFieldTypeDouble, alias: Percent of Thai speakers who speak English very well )
• B16001_calc_pctThLimEngE ( type: esriFieldTypeDouble, alias: Percent of Thai speakers who speak English less than very well )
• B16001_calc_pctLaE ( type: esriFieldTypeDouble, alias: Percent of population 5 years and over who speak Laotian )
• B16001_calc_pctLaBilingualE ( type: esriFieldTypeDouble, alias: Percent of Laotian speakers who speak English very well )
• B16001_calc_pctLaLimEngE ( type: esriFieldTypeDouble, alias: Percent of Laotian speakers who speak English less than very well )
• B16001_calc_pctVnE ( type: esriFieldTypeDouble, alias: Percent of population 5 years and over who speak Vietnamese )
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• B16001_calc_pctTlE ( type: esriFieldTypeDouble, alias: Percent of population 5 years and over who speak Tagalog )
• B16001_calc_pctTlBilingualE ( type: esriFieldTypeDouble, alias: Percent of Tagalog speakers who speak English very well )
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• B16001_calc_pctOPIE ( type: esriFieldTypeDouble, alias: Percent of population 5 years and over who speak other Pacific Islander languages )
• B16001_calc_pctOPIBilingualE ( type: esriFieldTypeDouble, alias: Percent of other Pacific Islander language speakers who speak English very well )
• B16001_calc_pctOPILimEngE ( type: esriFieldTypeDouble, alias: Percent of other Pacific Islander language speakers who speak English less than very well )
• B16001_calc_pctNvE ( type: esriFieldTypeDouble, alias: Percent of population 5 years and over who speak Navajo )
• B16001_calc_pctNvBilingualE ( type: esriFieldTypeDouble, alias: Percent of Navajo speakers who speak English very well )
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• B16001_calc_pctONAE ( type: esriFieldTypeDouble, alias: Percent of population 5 years and over who speak other Native North American languages )
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• B16001_calc_pctHuBilingualE ( type: esriFieldTypeDouble, alias: Percent of Hungarian speakers who speak English very well )
• B16001_calc_pctHuLimEngE ( type: esriFieldTypeDouble, alias: Percent of Hungarian speakers who speak English less than very well )
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• B16001_calc_pctHeE ( type: esriFieldTypeDouble, alias: Percent of population 5 years and over who speak Hebrew )
• B16001_calc_pctHeBilingualE ( type: esriFieldTypeDouble, alias: Percent of Hebrew speakers who speak English very well )
• B16001_calc_pctHeLimEngE ( type: esriFieldTypeDouble, alias: Percent of Hebrew speakers who speak English less than very well )
• B16001_calc_pctAfrE ( type: esriFieldTypeDouble, alias: Percent of population 5 years and over who speak African languages )
• B16001_calc_pctAfrBilingualE ( type: esriFieldTypeDouble, alias: Percent of African language speakers who speak English very well )
• B16001_calc_pctAfrLimEngE ( type: esriFieldTypeDouble, alias: Percent of African language speakers who speak English less than very well )
• B16001_calc_pctOULE ( type: esriFieldTypeDouble, alias: Percent of population 5 years and over who speak other and unspecified languages )
• B16001_calc_pctOULBilingualE ( type: esriFieldTypeDouble, alias: Percent of other and unspecified language speakers who speak English very well )
• B16001_calc_pctOULLimEngE ( type: esriFieldTypeDouble, alias: Percent of other and unspecified language speakers who speak English less than very well )
• B16001_calc_pctOtherLangE ( type: esriFieldTypeDouble, alias: Percent of population 5 years and over who speak any language other than English )
• B16001_calc_cntBilingualE ( type: esriFieldTypeInteger, alias: Count of population 5 years and over who are bilingual in English and another language )
• B16001_calc_pctBilingualE ( type: esriFieldTypeDouble, alias: Percent of population 5 years and over who are bilingual in English and another language )
• B16001_calc_cntLimEngE ( type: esriFieldTypeInteger, alias: Count of population 5 years and over with limited ability to speak English )
• B16001_calc_pctLimEngE ( type: esriFieldTypeDouble, alias: Percent of population 5 years and over with limited ability to speak English )
• Mean ( type: esriFieldTypeDouble, alias: Mean )
• LimitedEnglishHigherMean ( type: esriFieldTypeDouble, alias: LimitedEnglishHigherMean )
• Shape ( type: esriFieldTypeGeometry, alias: Shape )
• Shape.STArea() ( type: esriFieldTypeDouble, alias: Shape.STArea() )
• Shape.STLength() ( type: esriFieldTypeDouble, alias: Shape.STLength() )

Layer: SB450 ACS Disability Status Variables Boundaries (3)

Name: SB450 ACS Disability Status Variables Boundaries

Display Field: NAME

Type: Feature Layer

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer shows disability status by sex and age group. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. </SPAN></P><P><SPAN /></P><P><SPAN>This layer is symbolized to show the percentage of elderly (65+) with a disability. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. </SPAN></P><P><SPAN /></P><P><SPAN>Current Vintage: 2014-2018</SPAN></P><P><SPAN>ACS Table(s): B18101</SPAN></P><P><SPAN>Data downloaded from: Census Bureau's API for American Community Survey </SPAN></P><P><SPAN>Date of API call: December 19, 2019</SPAN></P><P><SPAN>National Figures: data.census.gov</SPAN></P><P><SPAN /></P><P><SPAN>The United States Census Bureau's American Community Survey (ACS):</SPAN></P><P><SPAN>About the Survey</SPAN></P><P><SPAN>Geography &amp; ACS</SPAN></P><P><SPAN>Technical Documentation</SPAN></P><P><SPAN>News &amp; Updates</SPAN></P><P><SPAN>This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.</SPAN></P><P><SPAN /></P><P><SPAN>Data Note from the Census:</SPAN></P><P><SPAN>Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.</SPAN></P><P><SPAN /></P><P><SPAN>Data Processing Notes:</SPAN></P><P><SPAN>This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.</SPAN></P><P><SPAN>Boundaries come from the US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). </SPAN></P><P><SPAN>The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico</SPAN></P><P><SPAN>Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).</SPAN></P><P><SPAN>Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.</SPAN></P><P><SPAN>Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.</SPAN></P><P><SPAN>Negative values (e.g., -555555...) have been set to null. These negative values exist in the raw API data to indicate the following situations:</SPAN></P><P><SPAN>The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.</SPAN></P><P><SPAN>Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.</SPAN></P><P><SPAN>The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.</SPAN></P><P><SPAN>The estimate is controlled. A statistical test for sampling variability is not appropriate.</SPAN></P><P><SPAN>The data for this geographic area cannot be displayed because the number of sample cases is too small. </SPAN></P><P><SPAN>NOTE: any calculated percentages or counts that contain estimates that have null margins of error yield null margins of error for the calculated fields.</SPAN></P></DIV></DIV></DIV>

Copyright Text: U.S. Census Bureau's American Community Survey (ACS) 2014-2018 5-year estimates, Table(s) B18101

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• GEOID ( type: esriFieldTypeString, alias: Geographic Identifier - FIPS Code, length: 11 )
• ALAND ( type: esriFieldTypeDouble, alias: Area of Land (Square Meters) )
• AWATER ( type: esriFieldTypeDouble, alias: Area of Water (Square Meters) )
• NAME ( type: esriFieldTypeString, alias: Name, length: 255 )
• State ( type: esriFieldTypeString, alias: State, length: 255 )
• County ( type: esriFieldTypeString, alias: County, length: 255 )
• B18101_009E ( type: esriFieldTypeInteger, alias: Male Population 18 to 34 years )
• B18101_010E ( type: esriFieldTypeInteger, alias: Male Population 18 to 34 years with a disability )
• B18101_012E ( type: esriFieldTypeInteger, alias: Male Population 35 to 64 years )
• B18101_013E ( type: esriFieldTypeInteger, alias: Male Population 35 to 64 years with a disability )
• B18101_015E ( type: esriFieldTypeInteger, alias: Male Population 65 to 74 years )
• B18101_016E ( type: esriFieldTypeInteger, alias: Male Population 65 to 74 years with a disability )
• B18101_018E ( type: esriFieldTypeInteger, alias: Male Population 75 years and over )
• B18101_019E ( type: esriFieldTypeInteger, alias: Male Population 75 years and over with a disability )
• B18101_028E ( type: esriFieldTypeInteger, alias: Female Population 18 to 34 years )
• B18101_029E ( type: esriFieldTypeInteger, alias: Female Population 18 to 34 years with a disability )
• B18101_031E ( type: esriFieldTypeInteger, alias: Female Population 35 to 64 years )
• B18101_032E ( type: esriFieldTypeInteger, alias: Female Population 35 to 64 years with a disability )
• B18101_034E ( type: esriFieldTypeInteger, alias: Female Population 65 to 74 years )
• B18101_035E ( type: esriFieldTypeInteger, alias: Female Population 65 to 74 years with a disability )
• B18101_037E ( type: esriFieldTypeInteger, alias: Female Population 75 years and over )
• B18101_038E ( type: esriFieldTypeInteger, alias: Female Population 75 years and over with a disability )
• B18101_calc_numMDE ( type: esriFieldTypeInteger, alias: Male Population with a disability )
• B18101_calc_numMDM ( type: esriFieldTypeInteger, alias: Male Population with a disability - Margin of Error )
• B18101_calc_pctMDE ( type: esriFieldTypeDouble, alias: Percent of Male Population with a disability )
• B18101_calc_pctMDM ( type: esriFieldTypeDouble, alias: Percent of Male Population with a disability - Margin of Error )
• B18101_calc_numFDE ( type: esriFieldTypeInteger, alias: Female Population with a disability )
• B18101_calc_numFDM ( type: esriFieldTypeInteger, alias: Female Population with a disability - Margin of Error )
• B18101_calc_pctFDE ( type: esriFieldTypeDouble, alias: Percent of Female Population with a disability )
• B18101_calc_pctFDM ( type: esriFieldTypeDouble, alias: Percent of Female Population with a disability - Margin of Error )
• B18101_calc_numEldDE ( type: esriFieldTypeInteger, alias: Elderly (65+ years) Population with a disability )
• B18101_calc_numEldDM ( type: esriFieldTypeInteger, alias: Elderly (65+ years) Population with a disability - Margin of Error )
• B18101_calc_pctEldDE ( type: esriFieldTypeDouble, alias: Percent of Elderly (65+ years) Population with a disability )
• B18101_calc_pctEldDM ( type: esriFieldTypeDouble, alias: Percent of Elderly (65+ years) Population with a disability - Margin of Error )
• B18101_calc_numTotEldE ( type: esriFieldTypeInteger, alias: Elderly (65+ years) Population )
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Layer: SB450 ACS Nativity and Citizenship Variables Boundaries (2)

Name: SB450 ACS Nativity and Citizenship Variables Boundaries

Display Field: NAME

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer shows nativity &amp; citizenship status, &amp; year of naturalization. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. </SPAN></P><P><SPAN /></P><P><SPAN>This layer shows the percent foreign born. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. </SPAN></P><P><SPAN /></P><P><SPAN>Current Vintage: 2014-2018</SPAN></P><P><SPAN>ACS Table(s): B05003, B05011</SPAN></P><P><SPAN>Data downloaded from: Census Bureau's API for American Community Survey </SPAN></P><P><SPAN>Date of API call: December 19, 2019</SPAN></P><P><SPAN>National Figures: data.census.gov</SPAN></P><P><SPAN /></P><P><SPAN>The United States Census Bureau's American Community Survey (ACS):</SPAN></P><P><SPAN>About the Survey</SPAN></P><P><SPAN>Geography &amp; ACS</SPAN></P><P><SPAN>Technical Documentation</SPAN></P><P><SPAN>News &amp; Updates</SPAN></P><P><SPAN>This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.</SPAN></P><P><SPAN /></P><P><SPAN>Data Note from the Census:</SPAN></P><P><SPAN>Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.</SPAN></P><P><SPAN /></P><P><SPAN>Data Processing Notes:</SPAN></P><P><SPAN>This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.</SPAN></P><P><SPAN>Boundaries come from the US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). </SPAN></P><P><SPAN>The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico</SPAN></P><P><SPAN>Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).</SPAN></P><P><SPAN>Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.</SPAN></P><P><SPAN>Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.</SPAN></P><P><SPAN>Negative values (e.g., -555555...) have been set to null. These negative values exist in the raw API data to indicate the following situations:</SPAN></P><P><SPAN>The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.</SPAN></P><P><SPAN>Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.</SPAN></P><P><SPAN>The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.</SPAN></P><P><SPAN>The estimate is controlled. A statistical test for sampling variability is not appropriate.</SPAN></P><P><SPAN>The data for this geographic area cannot be displayed because the number of sample cases is too small. </SPAN></P><P><SPAN>NOTE: any calculated percentages or counts that contain estimates that have null margins of error yield null margins of error for the calculated fields.</SPAN></P></DIV></DIV></DIV>

Copyright Text: U.S. Census Bureau's American Community Survey (ACS) 2014-2018 5-year estimates, Table(s) B05003, B05011

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Layer: SB450 Mail-In Ballot Precincts (12)

Name: SB450 Mail-In Ballot Precincts

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>These are the current Sonoma County Registrar of Voters precincts as of June 2020. Various summary values by precinct were joined to this data using the precinct as the join field. A number of records were vote by mail precinct sonly and as such did not have a standard precinct number associated with them. To be able to associate those vote by mail only precincts with their associated standard precinct, another list was provided by the Registrar of Voters showing the relationship of the vote by mail precincts to a standard precinct. Values from the November 2014, 2016, and 2018 election are included. Values include for 2014 - 2018 total number of ballots cast by mail each of those years, total number of registered voters for each of those years and the number of registered voters who have opted in for permanent vote by mail status.</SPAN></P></DIV></DIV></DIV>

Copyright Text: Sonoma County Registrar of Voters, County of Sonoma ISD-GIS

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Layer: SB450 Weighted Sum (13)

Name: SB450 Weighted Sum

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Weighted Sum analysis of all input layers including demgraphics, proximity, and density layers. Rasters were reclassified prior to final analysis based on the classifications outlined in Sacramento County's SB 450 analysis (https://sacramentocounty.maps.arcgis.com/apps/MapJournal/index.html?appid=7d522d534df849e58c11418566919472#). Values in final rating range from 8 to 38 with 8 being the least need and 38 being the greatest need for ballot drop boxes and voter information centers. </SPAN></P></DIV></DIV></DIV>

Copyright Text: Sonoma County, Registrar of Voters, Information Systems Department GIS

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