Description: U.S. Census Block Group Boundaries represents the 2020 U.S. Census block groups of the United States in the 50 states and the District of Columbia. Block Groups are polygons containing population totals from the 2020 Census and Esri Updated Demographics.
Households__With_Public_Assista (type: esriFieldTypeInteger, alias: Households: With Public Assistance Income, SQL Type: sqlTypeOther, nullable: true, editable: true)
Households__No_Public_Assistanc (type: esriFieldTypeInteger, alias: Households: No Public Assistance Income, SQL Type: sqlTypeOther, nullable: true, editable: true)
Employed_Civilian_Population_18 (type: esriFieldTypeInteger, alias: Employed Civilian Population 16 Years and Over: Transportation and Material Moving Occupations, SQL Type: sqlTypeOther, nullable: true, editable: true)
Employed_Civilian_Population_19 (type: esriFieldTypeInteger, alias: Employed Civilian Population 16 Years and Over: Public Sector, SQL Type: sqlTypeOther, nullable: true, editable: true)
Employed_Civilian_Population_20 (type: esriFieldTypeInteger, alias: Employed Civilian Population 16 Years and Over: Private Sector, SQL Type: sqlTypeOther, nullable: true, editable: true)
Employed_Civilian_Population_21 (type: esriFieldTypeInteger, alias: Employed Civilian Population 16 Years and Over: Production Occupations, SQL Type: sqlTypeOther, nullable: true, editable: true)
Employed_Civilian_Population_22 (type: esriFieldTypeInteger, alias: Employed Civilian Population 16 Years and Over: Construction, Extraction, and Maintenance Occupations, SQL Type: sqlTypeOther, nullable: true, editable: true)
Employed_Civilian_Population_23 (type: esriFieldTypeInteger, alias: Employed Civilian Population 16 Years and Over: Farming, Fishing, and Forestry Occupations, SQL Type: sqlTypeOther, nullable: true, editable: true)
Employed_Civilian_Population_24 (type: esriFieldTypeInteger, alias: Employed Civilian Population 16 Years and Over: Office and Administrative Support Occupations, SQL Type: sqlTypeOther, nullable: true, editable: true)
Employed_Civilian_Population_25 (type: esriFieldTypeInteger, alias: Employed Civilian Population 16 Years and Over: Sales and Related Occupations, SQL Type: sqlTypeOther, nullable: true, editable: true)
Employed_Civilian_Population_26 (type: esriFieldTypeInteger, alias: Employed Civilian Population 16 Years and Over: Personal Care and Service Occupations, SQL Type: sqlTypeOther, nullable: true, editable: true)
Employed_Civilian_Population_27 (type: esriFieldTypeInteger, alias: Employed Civilian Population 16 Years and Over: Building and Grounds Cleaning and Maintenance Occupations, SQL Type: sqlTypeOther, nullable: true, editable: true)
Employed_Civilian_Population_28 (type: esriFieldTypeInteger, alias: Employed Civilian Population 16 Years and Over: Self-Employed (Incorporated and Not Incorporated), SQL Type: sqlTypeOther, nullable: true, editable: true)
Median_Family_Income__In_2023_I (type: esriFieldTypeInteger, alias: Median Family Income (In 2023 Inflation Adjusted Dollars), SQL Type: sqlTypeOther, nullable: true, editable: true)
Workers_16_Years_and_Over__Work (type: esriFieldTypeInteger, alias: Workers 16 Years and Over: Worked At Home, SQL Type: sqlTypeOther, nullable: true, editable: true)
Workers_16_Years_and_Over__Othe (type: esriFieldTypeInteger, alias: Workers 16 Years and Over: Other Means, SQL Type: sqlTypeOther, nullable: true, editable: true)
Workers_16_Years_and_Over__Walk (type: esriFieldTypeInteger, alias: Workers 16 Years and Over: Walked, SQL Type: sqlTypeOther, nullable: true, editable: true)
Workers_16_Years_and_Over__Bicy (type: esriFieldTypeInteger, alias: Workers 16 Years and Over: Bicycle, SQL Type: sqlTypeOther, nullable: true, editable: true)
Workers_16_Years_and_Over__Moto (type: esriFieldTypeInteger, alias: Workers 16 Years and Over: Motorcycle, SQL Type: sqlTypeOther, nullable: true, editable: true)
Workers_16_Years_and_Over__Publ (type: esriFieldTypeInteger, alias: Workers 16 Years and Over: Public Transportation (Includes Taxicab), SQL Type: sqlTypeOther, nullable: true, editable: true)
Workers_16_Years_and_Over__Carp (type: esriFieldTypeInteger, alias: Workers 16 Years and Over: Carpooled, SQL Type: sqlTypeOther, nullable: true, editable: true)
Workers_16_Years_and_Over__Drov (type: esriFieldTypeInteger, alias: Workers 16 Years and Over: Drove Alone, SQL Type: sqlTypeOther, nullable: true, editable: true)
Workers_16_Years_and_Over__Car_ (type: esriFieldTypeInteger, alias: Workers 16 Years and Over: Car, Truck, or Van, SQL Type: sqlTypeOther, nullable: true, editable: true)
Workers_16_Years_and_Over_ (type: esriFieldTypeInteger, alias: Workers 16 Years and Over:, SQL Type: sqlTypeOther, nullable: true, editable: true)
Median_Year_Structure_Built (type: esriFieldTypeInteger, alias: Median Year Structure Built, SQL Type: sqlTypeOther, nullable: true, editable: true)
Employed_Civilian_Population_29 (type: esriFieldTypeInteger, alias: Employed Civilian Population 16 Years and Over: Food Preparation and Serving Related Occupations, SQL Type: sqlTypeOther, nullable: true, editable: true)
Employed_Civilian_Population_31 (type: esriFieldTypeInteger, alias: Employed Civilian Population 16 Years and Over: Professional and Related Occupations, SQL Type: sqlTypeOther, nullable: true, editable: true)
Total_Population__55_to_64_Year (type: esriFieldTypeInteger, alias: Total Population: 55 to 64 Years, SQL Type: sqlTypeOther, nullable: true, editable: true)
Total_Population__45_to_54_Year (type: esriFieldTypeInteger, alias: Total Population: 45 to 54 Years, SQL Type: sqlTypeOther, nullable: true, editable: true)
Total_Population__35_to_44_Year (type: esriFieldTypeInteger, alias: Total Population: 35 to 44 Years, SQL Type: sqlTypeOther, nullable: true, editable: true)
Employed_Civilian_Population_32 (type: esriFieldTypeInteger, alias: Employed Civilian Population 16 Years and Over: Healthcare Support Occupations, SQL Type: sqlTypeOther, nullable: true, editable: true)
Total_Population__18_to_24_Year (type: esriFieldTypeInteger, alias: Total Population: 18 to 24 Years, SQL Type: sqlTypeOther, nullable: true, editable: true)
Total_Population__15_to_17_Year (type: esriFieldTypeInteger, alias: Total Population: 15 to 17 Years, SQL Type: sqlTypeOther, nullable: true, editable: true)
Total_Population__10_to_14_Year (type: esriFieldTypeInteger, alias: Total Population: 10 to 14 Years, SQL Type: sqlTypeOther, nullable: true, editable: true)
Total_Population__65_to_74_Year (type: esriFieldTypeInteger, alias: Total Population: 65 to 74 Years, SQL Type: sqlTypeOther, nullable: true, editable: true)
Total_Population__5_to_9_Years (type: esriFieldTypeInteger, alias: Total Population: 5 to 9 Years, SQL Type: sqlTypeOther, nullable: true, editable: true)
Total_Population__Two_or_More_R (type: esriFieldTypeInteger, alias: Total Population: Two or More Races, SQL Type: sqlTypeOther, nullable: true, editable: true)
Total_Population__Some_Other_Ra (type: esriFieldTypeInteger, alias: Total Population: Some Other Race Alone, SQL Type: sqlTypeOther, nullable: true, editable: true)
Total_Population__Native_Hawaii (type: esriFieldTypeInteger, alias: Total Population: Native Hawaiian and Other Pacific Islander Alone, SQL Type: sqlTypeOther, nullable: true, editable: true)
Total_Population__Asian_Alone (type: esriFieldTypeInteger, alias: Total Population: Asian Alone, SQL Type: sqlTypeOther, nullable: true, editable: true)
Total_Population__American_Indi (type: esriFieldTypeInteger, alias: Total Population: American Indian and Alaska Native Alone, SQL Type: sqlTypeOther, nullable: true, editable: true)
Total_Population__Black_or_Afri (type: esriFieldTypeInteger, alias: Total Population: Black or African American Alone, SQL Type: sqlTypeOther, nullable: true, editable: true)
Description: ***** BACKGROUND *****In late 1996, the Dept of Conservation (DOC) surveyed state and federal agencies about the county boundary coverage they used. As a result, DOC adopted the 1:24,000 (24K) scale U.S. Bureau of Reclamation (USBR) dataset (USGS source) for their Farmland Mapping and Monitoring Program (FMMP) but with several modifications. Detailed documentation of these changes is provided by FMMP and included in the lineage section of the metadata.A dataset named cnty24k97_1 was made available (approximately 2004) through the California Department of Forestry and Fire Protection - Fire and Resource Assessment Program (CDF - FRAP) and the California Spatial Information Library (CaSIL). In late 2006, the Department of Fish and Game (DFG) reviewed cnty24k97_1. Comparisons were made to a high-quality 100K dataset (co100a/county100k from the former Teale Data Center GIS Solutions Group) and legal boundary descriptions from ( https://www.leginfo.ca.gov ). The cnty24k97_1 dataset was missing Anacapa and Santa Barbara islands. DFG added the missing islands using previously-digitized coastline data (coastn27 of State Lands Commission origin), corrected a few county boundaries, built region topology, added additional attributes, and renamed the dataset to county24k.In 2007, the California Mapping Coordinating Committee (CMCC) requested that the California Department of Forestry and Fire Protection (CAL FIRE) resume stewardship of the statewide county boundaries data. CAL FIRE adopted the changes made by DFG and collected additional suggestions for the county data from DFG, DOC, and local government agencies. CAL FIRE incorporated these suggestions into the latest revision, which has was renamed cnty24k09_1.***** THIS VERSION*****This version of the county dataset was created as a result of an effort to improve the coastal linework. It uses the previous interior linework from the cnty24k13_1 data, but replaces the coastal linework (including islands and inlets) based on NOAA's ERMA coastal dataset (which used NAIP 2010). In addition to the improved linework, additional coding was added to differentiate inlets and bays, islands, and manmade structures such as piers and breakers. Note that some of this coding may not be featured in this specific dataset.This dataset is one of several available datasets that were created as a group designed to work in topological sync with each other. These "paired" datasets include a full county dataset (cnty15_1_full), a basic state dataset (state15_1), an ocean dataset (ocean15_1), and country/state datasets (both full and neighbor-only - cntrystate15_1_full and cntrystate15_1_neighbor, respectively). Further details about these paired datasets can be found in their respective metadata.This specific dataset represents the basic (ie simplified) county dataset without the extra coding that can be found in the "full" dataset. In this dataset, all bays (plus bay islands and constructed features) are merged into the mainland, and coastal features (such as islands and constructed features) are not included.In November 2015, the dataset was adjusted to include a change in the Yuba-Placer county boundary from 2010 that was not yet included in the 14_1 version of the dataset (ord No 5546-B). This change constitutes the diffrence between the 15_1 and 14_1 versions of this dataset.Edited by DMachado 7/22/2024 based on Resource Management, Surveying division review of 0147-010-080 and boundary overlap in that area. Area edited manually based on comparison to associated tax map for that APN.Edited by DMachado 9/20/2024 to more closely align to the Board of Equalization data available from the California Department of Tax and Fee Administration, as published to the CA State GeoPortal: https://gis.data.ca.gov/datasets/CDTFA::boe-citycounty-1/about
Copyright Text: U.S. Bureau of Reclamation,California Department of Tax and Fee Administration, Board of Equalization, California Department of Conservation, California Department of Fish and Game, California Department of Forestry and Fire Protection, National Oceanic and Atmospheric Administration, Solano DoIT
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