20261020 14200600 1.0 FGDC 002 CVFPP_2020BlkGrp_SVI_RankPercents_v20260421 -877260.457003 -15144.691081 8586829.596685 10401687.638222 1 0.000 Projected GCS_WGS_1984 Linear Unit: Foot_US (0.304801) <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.7.0'><WKT>PROJCS["WGS_1984_California_Teale_Albers_FtUS",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Albers"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",-4000000.0],PARAMETER["Central_Meridian",-120.0],PARAMETER["Standard_Parallel_1",34.0],PARAMETER["Standard_Parallel_2",40.5],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Foot_US",0.3048006096012192],AUTHORITY["Esri",102599]]</WKT><XOrigin>-55477700</XOrigin><YOrigin>-19081800</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102599</WKID><LatestWKID>102599</LatestWKID></ProjectedCoordinateSystem> WGS_1984_California_Teale_Albers_FtUS 150000000 5000 20261008 18491800 FGDC CSDGM Metadata FALSE 20261008 18491800 "Vulnerability" was assessed using 15 indicators at the census block group level. Thirteen indicators were assigned a score of either 0 (does not meet the vulnerability threshold) or 1 (meets the vulnerability threshold). Where multiple datasets contributed to a single indicator, a block group was considered vulnerable if it met the threshold in any of the contributing datasets. Two indicators, mobile home residents and migrant housing residents, were assigned a weight of 2. This additional weighting was applied because these populations may be underrepresented in census-based datasets, are more likely to experience multiple overlapping vulnerabilities, and, in the case of mobile homes, may face greater flood-related structural risk.For each census block group intersecting the SPFC Planning Area, the weighted indicator scores were summed to calculate a final Vulnerability Score ranging from 0 to 17. The resulting scores were ranked across all 1,108 census block groups within the SPFC Planning Area and converted to percentile ranks to reflect each block group's relative vulnerability compared to all others. Vulnerability categories (Low, Medium, High, and Highest) were then assigned based on percentile thresholds, with the methodology intended to identify and prioritize the most vulnerable communities for flood risk planning and resource allocation.Sources, approach and analysis are documented for each indicator in the respective field descriptions. Wherever data were available at block group scale, data were filtered and scored at that scale. For several metrics, data were available only at Census Tract scale. In those cases, the census tract score was distributed across all block groups within that tract.Approach for Migrant Housing:"Census tracts were classified as 'vulnerable' for indicator 'migrant housing resident' if that tract contained a government-run or overseen migrant housing facility. Tract rating was distributed across block groups within that tract. All FOIA data were excluded entirely from this analysis."Process: County by county search of California and utilizing only those locations listed as "farmworker" housing. MFH Rentals (USDA RD) – State of California Owned or Overseen.Process: Searched for and validated each location listed on Office of Migrant Services (CA Dept of Housing and Community Development) map.Data Source websites accessed 2025 and 2026:Migrant Housing Program | Modoc County, CANEWELL MIGRANT CENTER — USDA Rural Development Low Income Housing in Newell.California Staff Directory • Migrant Farm Housing (Colusa County, Williams)https://www.regionalha.org/properties/yuba-city-migrant-housing-center(Sutter County, Yuba City)https://www.ych.ca.gov/about-us/(Yolo & Solano Counties) – includes: Davis Migrant Center, Dixon Migrant Center, and Madison Migrant Center.https://hacsj.org/housing/farm-labor-housing/(San Joaquin County) – includes: Harney Lane Migrant Center, Joseph J. Artesi II Migrant Center, and Joseph J. Artesi III Migrant Center.https://stanregionalha.org/migrant-farmworker-housing/(Stanislaus County) – includes: Empire Migrant Center, Westley Migrant Center, and Patterson Migrant Center.https://www.merced-pha.com/migrant.html(Merced County) – includes: Atwater Migrant Center, Merced Migrant Center, Los Banos Migrant Center, and Planada Migrant Center.https://maderaha.org/housing-programs/pomona-ranch-housing-center/(City of Madera) – includes: Pomona Ranch Housing Center.https://fresnohousing.org/properties/parlier-migrant-center/(Fresno County) – includes: Parlier Migrant Center.https://hhsa.sanbenitocountyca.gov/community-service-workforce-development/migrant-center/(San Benito County) – includes: Hollister Migrant Housing Center.https://stanregionalha.org/migrant-farmworker-housing/(Santa Clara County) – includes: Arturo Ochoa Migrant Center (AOMC).https://stanregionalha.org/migrant-farmworker-housing/(Santa Cruz County) – includes: Buena Vista Migrant Center.https://www.hamonterey.org/migrant-and-permanent-farm-worker-housing/(Monterey County) – includes: King City Migrant Center. Flood_Social_Vulnerability_Index_FloodSVI_v20260421 GEI Consultants, Inc 0.00 0.00 0.00 0.00 -123.198411 -120.051632 41.523979 36.507305 1 GEI Consultants, Inc gis@geiconsultants.com 11010 White Rock Road, Suite 200 Rancho Cordova CA 95670 (916) 631-4500 (916) 631-4501 The primary output from this analysis is the Flood Social Vulnerability Index (Flood-SVI). The Flood-SVI is intended as a screening tool allows users to identify block groups with the greatest barriers to flood preparedness, response, and recovery within the footprints of the State Plan of Flood Control Planning Area. It is important to note the SVI does not indicate where flooding will occur or predict which communities will be flooded. Rather, it identifies which communities, if flooded, would face the greatest difficulty responding and recovering. Flood hazard and exposure are captured through separate technical analysis within the CVFPP framework. These data are created for use by GEI Consultants employees and/or associated contractors and/or sub-contractors. <div style="text-align:Left;"><div><div>The information contained herein is based on the most current information available to GEI Consultants, Inc. GEI does not warrant its accuracy or suitability for any particular purpose. This data is not intended to replace engineering, financial, or primary records research. This data is part of an ongoing process of data creation and verification; therefore it is constantly changing. Every attempt has been made to keep the data as current and accurate as possible, but it cannot be considered an authoritative source of data.GPS/Survey Data: Spatial data may include coordinates derived from GNSS or survey systems operating in differing terrestrial reference frames and epochs (e.g., ITRF or epoch‑specific NAD83 realizations). Transformation to a common reference epoch or frame may not be possible. As a result, uncorrected frame discrepancies may exist within the dataset.</div></div></div> <DIV STYLE="text-align:Left;">The information contained herein is based on the most current information available to GEI Consultants, Inc. GEI does not warrant its accuracy or suitability for any particular purpose. This data is not intended to replace engineering, financial, or primary records research. This data is part of an ongoing process of data creation and verification; therefore it is constantly changing. Every attempt has been made to keep the data as current and accurate as possible, but it cannot be considered an authoritative source of data.<DIV></DIV></DIV> Esri ArcGIS 13.7.0.1901 dataset 20261008 GEI Consultants, Inc gis@geiconsultants.com 11010 White Rock Rd, Suite 200 Rancho Cordova CA 95670 (916) 631-4500 (916) 631-4501 SAC GIS File Geodatabase Feature Class Esri 10.2.0 CVFPP_2020BlkGrp_SVI_RankPercents_v20260421 Feature Class 1108 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. GEOID GEOID String 12 0 0 Census Block Group geography ID NAMELSAD NAMELSAD String 13 0 0 Census Area Name SHAPE Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. CVFPP CVFPP Integer 4 0 0 SPFC Area 1 = Sacramento Valley 2= San Joaquin Valley OBJECTID_1 OBJECTID Integer 4 0 0 BG_ID BG_ID String 255 0 0 Block Group ID Tract_ID Tract_ID String 255 0 0 Census Tract ID Tract_Name Tract_Name String 255 0 0 Census Tract Name County County String 255 0 0 Census Designated County EduAtn_I Educational attainment (% individuals) Integer 4 0 0 2023 ACS 5-year estimates, Table B15003 Census-tracked metric which measures the percentage of individuals 25 years and older without a high school diploma or equivalent. Step 1. Data is downloaded for the State of California from the identified citation and table. The 70th percentile value within California for the identified metric is calculated. Step 2. The table is sorted and filtered for block groups with values exceeding the 70th percentile threshold (20.11%). Step 3. Each filtered block group is tagged as vulnerable for that metric. Solo65_H >65 living alone (% households) Integer 4 0 0 CDC/ATSDR Social Vulnerability Index 2022, column B11007_003E and B11007_002E Census category which measures the percentage of households consisting of one person aged 65 or older living without other household members. Step 1. Data is downloaded for the State of California from the identified citation and table. The 70th percentile value (11.90%) within California for the identified metric is calculated. Step 2. The table is sorted and filtered for block groups with values exceeding the 70th percentile threshold. Step 3. Each filtered block group is tagged as vulnerable for that metric. ChldYngr5H Children <5 (% individuals) Integer 4 0 0 2023 ACS 5-year estimates, Table B01001, columns B01001_003E, B01001_027E, and B01001_001E. Census category which measures the percentage of individuals within a block group who are under the age of 5. Step 1. Data is downloaded for the State of California from the identified citation and table. The 70th percentile value (6.89%) within California for the identified metric is calculated. Step 2. The table is sorted and filtered for block groups with values exceeding the 70th percentile threshold. Step 3. Each filtered block group is tagged as vulnerable for that metric. Pvrty_H Poverty (% households) Integer 4 0 0 2023 ACS 5-year estimates, Table C17002 Census-tracked metric which measures the percentage of households with total family income below the 200% of federal poverty threshold applicable to that family’s size and composition. Step 1. Data is downloaded for the State of California from the identified citation and table. From raw data available at block group level, percentage of households with income less than 200% of the federal poverty level is calculated using all estimate columns except C17002_008E. Step 2. The table is sorted and filtered for block groups with values exceeding the 70th percentile threshold (35.53%). Step 3. Each filtered block group is tagged as vulnerable for that metric. VhclAcc_H Vehicle access (% households) Integer 4 0 0 2023 ACS 5-year estimates, Table B25044, columns B25044_003E, B25044_010E and B25044_001E. Census-tracked metric which measures the percentage of households that do not have access to a personal vehicle. Step 1. Data is downloaded for the State of California from the identified citation and table. The 70th percentile value (7.53%) within California for the identified metric is calculated. Step 2. The table is sorted and filtered for block groups with values exceeding the 70th percentile threshold. Step 3. Each filtered block group is tagged as vulnerable for that metric. Renters_H Renters (% households) Integer 4 0 0 2023 ACS 5-year estimates, Table B25003, columns B25003_003E and B25003_001E. Census-tracked metric which measures the percentage of occupied housing units that are renter-occupied rather than owner-occupied. Step 1. Data is downloaded for the State of California from the identified citation and table. The 70th percentile value (59.02%) within California for the identified metric is calculated. Step 2. The table is sorted and filtered for block groups with values exceeding the 70th percentile threshold. Step 3. Each filtered block group is tagged as vulnerable for that metric. SnglPrnt_H Single Parent with Child<18 (% households) Integer 4 0 0 CDC/ATSDR Social Vulnerability Index 2022 Census-tracked metric which measures the percentage of households consisting of one adult with one or more children under the age of 18. Step 1. Data is downloaded for the State of California from the identified citation and table. The 70th percentile value (2.47%) within California for the identified metric is calculated. Step 2. The table is sorted and filtered for census tracts with values exceeding the 70th percentile threshold. Values are distributed across block groups within the tracts. Step 3. Each filtered block group is tagged as vulnerable for that metric. Adult65_I Adults >= 65 (% individuals) Integer 4 0 0 CDC/ATSDR Social Vulnerability Index 2022 Census category which measures the percentage of individuals within a block group who are aged 65 and older. Step 1. Data is downloaded for the State of California from the identified citation and table. The 70th percentile value (18.23%) within California for the identified metric is calculated. Step 2. The table is sorted and filtered for block groups with values exceeding the 70th percentile threshold. Step 3. Each filtered block group is tagged as vulnerable for that metric. GrpQrtr_I People in group quarters (% individuals) Integer 4 0 0 CDC/ATSDR Social Vulnerability Index 2022 Census-tracked metric which measures the percentage of individuals residing in a shared facility or institution rather than a typical household. Group quarters include college residence halls, residential treatment centers, group homes, military barracks, correctional facilities, and worker dormitories. Step 1. Data is downloaded for the State of California from the identified citation and table. The 70th percentile value (1.11%) within California for the identified metric is calculated. Step 2. The table is sorted and filtered for census tracts with values exceeding the 70th percentile threshold. Values are distributed across block groups within the tracts. Step 3. Each filtered block group is tagged as vulnerable for that metric. PplGTRms_H People > Rooms (% households) Integer 4 0 0 CDC/ATSDR Social Vulnerability Index 2022 Census-tracked metric which measures the percentage of occupied housing units where the number of occupants exceeds the number of rooms. Step 1. Data is downloaded for the State of California from the identified citation and table. The 70th percentile value (3.60%) within California for the identified metric is calculated. Step 2. The table is sorted and filtered for census tracts with values exceeding the 70th percentile threshold. Values are distributed across block groups within the tracts. Step 3. Each filtered block group is tagged as vulnerable for that metric. Disability Physical & Mental disability Integer 4 0 0 2023 ACS 5-year estimates, Table B22010, columns B22010_003E and B22010_001E. Census-tracked metric which measures the percentage of the population with one or more disabilities. Step 1. Data is downloaded for the State of California from the identified citation and table. The 70th percentile value (31.08%) within California for the identified metric is calculated. Step 2. The table is sorted and filtered for block groups with values exceeding the 70th percentile threshold. Step 3. Each filtered block group is tagged as vulnerable for that metric. LngstcIso Linguistic Isolation Integer 4 0 0 2023 ACS 5-year estimates, Table C16002 Census-tracked metric which measures the percentage of households in which no member aged 14 or older speaks English proficiently. Step 1. Data is downloaded for the State of California from the identified citation and table. The 70th percentile value (10.45%) within California for the identified metric is calculated. Step 2. The table is sorted and filtered for block groups with values exceeding the 70th percentile threshold. Step 3. Each filtered block group is tagged as vulnerable for that metric. HlthVuln_M Communities with health-related vulnerability Integer 4 0 0 Three sub-indicators are used to capture health-related vulnerabilities, all sourced from the CalEnviroScreen 4.0 dataset. These sub-indicators were chosen because they were available data generally indicative of wider health concerns within a community. If a community was determined to be vulnerable for at least one health indicator, it was rated as “vulnerable” for health-related vulnerability overall. Birth Weight: This data layer identifies census tracks in which residents are above the 70th percentile (5.75%), statewide, for low birth weight, which is related to community challenges preparing for/evacuating from and recovering from floods. Cardiovascular Disease: This data layer identifies census tracks in which residents are above the 70th percentile (15.68 visits), statewide, for heart-attack related emergency room visits, which is related to community challenges preparing for/evacuating from and recovering from floods. Asthma: This data layer identifies census tracks in which residents are above the 70th percentile (60.81 visits), statewide, for asthma related emergency room visits, which is related to community challenges preparing for/evacuating from and recovering from floods. Mobile Mobile Homes and Mobile Home Parks Integer 4 0 0 USACE National Structure Inventory, accessed 2025 and 2026. Google Earth, accessed 2026. Zillow.com, accessed 2026 Block groups with either at least one mobile home park, or at least twelve individual residential mobile homes Step 1. Within the CVFPP, NSI data is used to geolocate all mobile home parks and individual mobile homes within the SPFC. Step 2. Shape files with NSI mobile home data and Census block groups are mapped on Google Earth, and image searched to confirm or reject each mobile home park. Block groups with mobile home parks are marked vulnerable. Step 3. For remaining block groups, NSI data, Google Earth Imagery, and Zillow.com real estate data is compared. Block groups with at least 12 individual residential mobile homes, as identified positively in 2/3 data sources, are marked vulnerable. Migrant Migrant Housing Integer 4 0 0 California Department of Housing and Community Development (HCD) Office of Migrant Services (OMS) Migrant Family Housing Centers dataset and US Department of Agriculture, Rural Development Multi-Family Housing Rentals Identifies the presence of migrant housing within a census tract. The presence of a single registered migrant housing center within a census tract serves as a proxy indicator for concentrations of migrant farmworker populations in each of the block groups within that tract. SVI_CNT SVI Count Integer 4 0 0 Unweighted sum of SVI indicators BG_ID_Join BG_ID_Join String 255 0 0 Formatted Block Group ID SVI_Rank SVI Percentile Rank Integer 4 0 0 Rank based on SVI sum percentiles (see Description) SVI SVI Combined Percentile Double 8 0 0 Combined SVI percentile value (see Description) SVI_Class SVI Ranked Class String 255 0 0 Rank class assigned to block group based on SVI percentiles/ranking. Highest Vulnerability SVI (percentile) ≤ 15 SVI (percentile) High Vulnerability SVI (percentile) >15 and ≤ 30 SVI (percentile) Medium Vulnerability SVI (percentile) >30 and ≤ 60 SVI (percentile) Low Vulnerability SVI (percentile) >60 and ≤ 100 SVI (percentile) Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. 1108 ArcGIS Metadata 1.0 Simple FALSE 1108 TRUE FALSE