26 datasets found
  1. Census Areas for 2023 Aquifer Risk Map

    • gis.data.ca.gov
    • hub.arcgis.com
    Updated Jan 24, 2023
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    California Water Boards (2023). Census Areas for 2023 Aquifer Risk Map [Dataset]. https://gis.data.ca.gov/maps/f84c2091e79c4920add5913d4d18bcc7
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    Dataset updated
    Jan 24, 2023
    Dataset provided by
    California State Water Resources Control Board
    Authors
    California Water Boards
    Area covered
    Description

    This layer was created for use in the Aquifer Risk Map to provide summarized water quality risk data for domestic wells and state small water systems per census area (tract and block group). For more detailed descriptions of all data layers within the Aquifer Risk Map, refer to the Aquifer Risk Map Web Map page.This layer contains census block group and tract boundaries joined with:-2021 ACS Median Household Income (table B19013 column 001E - estimates only)-2021 ACS Race/Ethnicity data (table B03002 multiple columns - estimates only)-2023 Aquifer Risk Map count of total and high risk domestic wells and state small water systems per census area

  2. l

    2023 Population and Poverty by Split Tract

    • data.lacounty.gov
    • geohub.lacity.org
    • +1more
    Updated May 31, 2024
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    County of Los Angeles (2024). 2023 Population and Poverty by Split Tract [Dataset]. https://data.lacounty.gov/datasets/2023-population-and-poverty-by-split-tract/about
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    Dataset updated
    May 31, 2024
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    Population by age groups, race and gender, and the poverty by race is attached to the split tract geography to create this split tract with population and poverty data. Split tract data is the product of 2020 census tracts split by 2023 incorporated city boundaries and unincorporated community/countywide statistical areas (CSA) boundaries as of July 1, 2023. The census tract boundaries have been altered and aligned where necessary with legal city boundaries and unincorporated areas, including shoreline/coastal areas. Census Tract:Every 10 years the Census Bureau counts the population of the United States as mandated by Constitution. The Census Bureau (https://www.census.gov/)released 2020 geographic boundaries data including census tracts for the analysis and mapping of demographic information across the United States. City Boundary:City Boundary data is the base map information for the County of Los Angeles. These City Boundaries are based on the Los Angeles County Seamless Cadastral Landbase. The Landbase is jointly maintained by the Los Angeles County Assessor and the Los Angeles County Department of Public Works (DPW). This layer represents current city boundaries within Los Angeles County. The DPW provides the most current shapefiles representing city boundaries and city annexations. True, legal boundaries are only determined on the ground by surveyors licensed in the State of California.Countywide Statistical Areas (CSA): The countywide Statistical Area (CSA) was defined to provide a common geographic boundary for reporting departmental statistics for unincorporated areas and incorporated Los Angeles city to the Board of Supervisors. The CSA boundary and CSA names are established by the CIO and the LA County Enterprise GIS group worked with the Los Angeles County Board of Supervisors Unincorporated Area and Field Deputies that reflect as best as possible the general name preferences of residents and historical names of areas. This data is primarily focused on broad statistics and reporting, not mapping of communities. This data is not designed to perfectly represent communities, nor jurisdictional boundaries such as Angeles National Forest. CSA represent board approved geographies comprised of Census block groups split by cities.Data Fields:CT20: 2020 Census tractFIP22: 2023 City FIP CodeCITY: City name for incorporated cities and “Unincorporated” for unincorporated areas (as of July 1, 2023) CSA: Countywide Statistical Area (CSA) - Unincorporated area community names and LA City neighborhood names.CT20FIP23CSA: 2020 census tract with 2023 city FIPs for incorporated cities and unincorporated areas and LA neighborhoods. SPA22: 2022 Service Planning Area (SPA) number.SPA_NAME: Service Planning Area name.HD22: 2022 Health District (HD) number: HD_NAME: Health District name.POP23_AGE_0_4: 2023 population 0 to 4 years oldPOP23_AGE_5_9: 2023 population 5 to 9 years old POP23_AGE_10_14: 2023 population 10 to 14 years old POP23_AGE_15_17: 2022 population 15 to 17 years old POP23_AGE_18_19: 2023 population 18 to 19 years old POP23_AGE_20_44: 2023 population 20 to 24 years old POP23_AGE_25_29: 2023 population 25 to 29 years old POP23_AGE_30_34: 2023 population 30 to 34 years old POP23_AGE_35_44: 2023 population 35 to 44 years old POP23_AGE_45_54: 2023 population 45 to 54 years old POP23_AGE_55_64: 2023 population 55 to 64 years old POP23_AGE_65_74: 2023 population 65 to 74 years old POP23_AGE_75_84: 2023 population 75 to 84 years old POP23_AGE_85_100: 2023 population 85 years and older POP23_WHITE: 2023 Non-Hispanic White POP23_BLACK: 2023 Non-Hispanic African AmericanPOP23_AIAN: 2023 Non-Hispanic American Indian or Alaska NativePOP23_ASIAN: 2023 Non-Hispanic Asian POP23_HNPI: 2023 Non-Hispanic Hawaiian Native or Pacific IslanderPOP23_HISPANIC: 2023 HispanicPOP23_MALE: 2023 Male POP23_FEMALE: 2023 Female POV23_WHITE: 2023 Non-Hispanic White below 100% Federal Poverty Level POV23_BLACK: 2023 Non-Hispanic African American below 100% Federal Poverty Level POV23_AIAN: 2023 Non-Hispanic American Indian or Alaska Native below 100% Federal Poverty Level POV23_ASIAN: 2023 Non-Hispanic Asian below 100% Federal Poverty Level POV23_HNPI: 2023 Non-Hispanic Hawaiian Native or Pacific Islander below 100% Federal Poverty Level POV23_HISPANIC: 2023 Hispanic below 100% Federal Poverty Level POV23_TOTAL: 2023 Total population below 100% Federal Poverty Level POP23_TOTAL: 2023 Total PopulationAREA_SQMil: Area in square mile.POP23_DENSITY: 2023 Population per square mile.POV23_PERCENT: 2023 Poverty rate/percentage.How this data created?Population by age groups, ethnic groups and gender, and the poverty by ethnic groups is attributed to the split tract geography to create this data. Split tract polygon data is created by intersecting 2020 census tract polygons, LA Country City Boundary polygons and Countywide Statistical Areas (CSA) polygon data. The resulting polygon boundary aligned and matched with the legal city boundary whenever possible. Notes:1. Population and poverty data estimated as of July 1, 2023. 2. 2010 Census tract and 2020 census tracts are not the same. Similarly, city and community boundaries are as of July 1, 2023.

  3. c

    CensusTractsARM23

    • gis.data.ca.gov
    • hub.arcgis.com
    Updated Jan 24, 2023
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    California Water Boards (2023). CensusTractsARM23 [Dataset]. https://gis.data.ca.gov/maps/waterboards::censustractsarm23
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    Dataset updated
    Jan 24, 2023
    Dataset authored and provided by
    California Water Boards
    Area covered
    Description

    Census tract boundaries joined with:-2021 ACS Median Household Income (B19013_001E)-2021 ACS Race/Ethnicity data (B03002 estimates only)-2023 Aquifer Risk Map count of total and high risk domestic wells and state small water systems

  4. l

    Perceived Race

    • maps.longbeach.gov
    • measurea-longbeachca.hub.arcgis.com
    Updated Jun 27, 2020
    + more versions
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    City of Long Beach, CA (2020). Perceived Race [Dataset]. https://maps.longbeach.gov/datasets/a50a4c8861cb4c1a99fdb068965d8488
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    Dataset updated
    Jun 27, 2020
    Dataset authored and provided by
    City of Long Beach, CA
    Description

    In compliance with the 2015 Racial Identity Profiling Act, the Long Beach Police Department was one of seven law enforcement agencies required to begin collecting stop data on January 1, 2019, for individuals stopped by police and consensual encounters that resulted in a search. The Department will collect data for each calendar year and will submit the data to the California Department of Justice on an annual basis.

    Data elements collected include demographic information of the stopped individuals that is perceived by the officer. This demographic information consists of race/ethnicity, gender, LGBT identity, age, English fluency, and perceived or known disability. The date, time, location, reason for stop, actions taken, contraband/evidence discovered, property seized, and result of stop are also included in the data collected.

  5. c

    CensusBlockGroupsARM23

    • gis.data.ca.gov
    • calepa-dtsc.opendata.arcgis.com
    Updated Jan 24, 2023
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    California Water Boards (2023). CensusBlockGroupsARM23 [Dataset]. https://gis.data.ca.gov/maps/waterboards::censusblockgroupsarm23
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    Dataset updated
    Jan 24, 2023
    Dataset authored and provided by
    California Water Boards
    Area covered
    Description

    Census block group boundaries joined with:-2021 ACS Median Household Income (B19013_001E)-2021 ACS Race/Ethnicity data (B03002 estimates only)-2023 Aquifer Risk Map count of total and high risk domestic wells and state small water systems

  6. d

    Data from: Historical racial redlining and contemporary patterns of income...

    • search.dataone.org
    • datadryad.org
    • +1more
    Updated Apr 2, 2025
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    Eric Wood; Sevan Esaian; Christian Benitez; Philip Ethington; Travis Longcore; Lars Pomara (2025). Historical racial redlining and contemporary patterns of income inequality negatively affect birds, their habitat, and people in Los Angeles, California [Dataset]. http://doi.org/10.5061/dryad.tb2rbp06p
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    Dataset updated
    Apr 2, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Eric Wood; Sevan Esaian; Christian Benitez; Philip Ethington; Travis Longcore; Lars Pomara
    Time period covered
    Jan 1, 2023
    Area covered
    Los Angeles, California
    Description

    The Home Owners’ Loan Corporation (HOLC) was a U.S. government-sponsored program initiated in the 1930s to evaluate mortgage lending risk. The program resulted in hand-drawn ‘security risk’ maps intended to grade sections of cities where investment should be focused (greenlined areas) or limited (redlined zones). The security maps have since been widely criticized as being inherently racist and have been associated with high levels of segregation and lower levels of green amenities in cities across the country. Our goal was to explore the potential legacy effects of the HOLC grading practice on birds, their habitat, and the people who may experience them throughout a metropolis where the security risk maps were widely applied, Greater Los Angeles, California (L.A.). We used ground-collected, remotely sensed, and census data and descriptive and predictive modeling approaches to address our goal. Patterns of bird habitat and avian communities strongly aligned with the luxury-effect phenom...

  7. p

    Trends in Two or More Races Student Percentage (2019-2023): Mojave River...

    • publicschoolreview.com
    + more versions
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    Public School Review, Trends in Two or More Races Student Percentage (2019-2023): Mojave River Academy - Route 66 School District vs. California [Dataset]. https://www.publicschoolreview.com/california/mojave-river-academy-route-66-school-district/601487-school-district
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    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    U.S. Route 66, California
    Description

    This dataset tracks annual two or more races student percentage from 2019 to 2023 for Mojave River Academy - Route 66 School District vs. California

  8. California Health Map

    • data.countyofnapa.org
    application/rdfxml +5
    Updated Jan 10, 2024
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    California Department of Public Health (2024). California Health Map [Dataset]. https://data.countyofnapa.org/es/es/Health-Outcomes-and-Health-Behaviors/California-Health-Map/casy-nbdf
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    application/rdfxml, csv, json, tsv, xml, application/rssxmlAvailable download formats
    Dataset updated
    Jan 10, 2024
    Dataset provided by
    Departamento de Salud Pública de Californiahttps://www.cdph.ca.gov/
    Authors
    California Department of Public Health
    Area covered
    California
    Description

    California Health Maps is the pdf result of an interactive mapping tool of health data for geographies beyond the county level in California. The interactive tools allows users to map cancer incidence for 12 of the most common invasive cancer sites and filter by sex and race/ethnicity. Link - https://www.californiahealthmaps.org/

  9. d

    Crop Index Model

    • catalog.data.gov
    • data.ca.gov
    • +4more
    Updated Nov 27, 2024
    + more versions
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    California Energy Commission (2024). Crop Index Model [Dataset]. https://catalog.data.gov/dataset/crop-index-model-9beba
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Energy Commission
    Description

    Cropland Index The Cropland Index evaluates lands used to produce crops based on the following input datasets: Revised Storie Index, California Important Farmland data, Electrical Conductivity (EC), and Sodium Adsorption Ratio (SAR). Together, these input layers were used in a suitability model to generate this raster. High values are associated with better CroplandsCalifornia Important Farmland data – statistical data used for analyzing impacts on California’s agricultural resources from the Farmland Mapping and Monitoring Program. Agricultural land is rated according to soil quality and irrigation status. The maps are updated every two years (on even numbered years) with the use of a computer mapping system, aerial imagery, public review, and field reconnaissance. Cropland Index Mask - This is a constructed data set used to define the model domain. Its footprint is defined by combining the extent of the California Important Farmland data (2018) classifications listed above and the area defined by California Statewide Crop Mapping for the state of California.Prime Farmland – farmland with the best combination of physical and chemical features able to sustain long term agricultural production. This land has the soil quality, growing season, and moisture supply needed to produce sustained high yields. Land must have been used for irrigated agricultural production at some time during the four years prior to the mapping date.Farmland of Statewide Importance – farmland similar to Prime Farmland but with minor shortcomings, such as greater slopes or less ability to store soil moisture. Land must have been used for irrigated agricultural production at some time during the four years prior to the mapping date. Unique Farmland – farmland of lesser quality soils used for the production of the state’s leading agricultural crops. This land is usually irrigated but may include Non irrigated orchards or vineyards as found in some climatic zones in California. Land must have been cropped at some time during the four years prior to the mapping date. Gridded Soil Survey Geographic Database (gSSURGO) – a database containing information about soil as collected by the National Cooperative Soil Survey over the course of a century. The information can be displayed in tables or as maps and is available for most areas in the United States and the Territories, Commonwealths, and Island Nations served by the USDA-NRCS. The information was gathered by walking over the land and observing the soil. Many soil samples were analyzed in laboratories. California Revised Storie Index - is a soil rating based on soil properties that govern a soil’s potential for cultivated agriculture in California. The Revised Storie Index assesses the productivity of a soil from the following four characteristics: Factor A, degree of soil profile development; factor B, texture of the surface layer; factor C, slope; and factor X, manageable features, including drainage, microrelief, fertility, acidity, erosion, and salt content. A score ranging from 0 to 100 percent is determined for each factor, and the scores are then multiplied together to derive an index rating.Electrical Conductivity - is the electrolytic conductivity of an extract from saturated soil paste, expressed as Deci siemens per meter at 25 degrees C. Electrical conductivity is a measure of the concentration of water-soluble salts in soils. It is used to indicate saline soils. High concentrations of neutral salts, such as sodium chloride and sodium sulfate, may interfere with the adsorption of water by plants because the osmotic pressure in the soil solution is nearly as high as or higher than that in the plant cells. Sodium Adsorption Ratio - is a measure of the amount of sodium (Na) relative to calcium (Ca) and magnesium (Mg) in the water extract from saturated soil paste. It is the ratio of the Na concentration divided by the square root of one-half of the Ca + Mg concentration. Soils that have SAR values of 13 or more may be characterized by an increased dispersion of organic matter and clay particles, reduced saturated hydraulic conductivity (Ksat) and aeration, and a general degradation of soil structure.

  10. c

    Census Block Group Data 2022

    • gis.data.ca.gov
    • gis-california.opendata.arcgis.com
    • +1more
    Updated Dec 2, 2021
    + more versions
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    California Water Boards (2021). Census Block Group Data 2022 [Dataset]. https://gis.data.ca.gov/datasets/waterboards::census-block-group-data-2022
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    Dataset updated
    Dec 2, 2021
    Dataset authored and provided by
    California Water Boards
    Area covered
    Description

    This is the feature layer. The map image layer is available here.The aquifer risk map is being developed to fulfill requirements of SB-200 and is intended to help prioritize areas where domestic wells and state small water systems may be accessing groundwater that does not meet primary drinking water standards (maximum contaminant level or MCL). In accordance with SB-200, the risk map is to be made available to the public and is to be updated annually starting January 1, 2021. This layer is part of the 2022 Aquifer Risk Map. The Fund Expenditure Plan states the risk map will be used by Water Boards staff to help prioritize areas for available SAFER funding.This layer displays data available at the census block group level. Water quality risk data from the 2022 Aquifer Risk Map is summarized by block group by displaying the number of domestic wells and state small water systems per block group in "high-risk" areas. Drought risk scores for rural/self-supplied communities from the Department of Water Resources are displayed (drought risk scores range from 0-100, with 100 representing the highest drought risk and 0 representing the lowest drought risk). Demographic information including Median Household Income (from 2018 ACS) and race/ethnicity data per block group (B03002 from 2019 ACS five-year survey) is also displayed.

  11. o

    Golf Course Road Cross Street Data in Jackson, CA

    • ownerly.com
    Updated Dec 10, 2021
    + more versions
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    Ownerly (2021). Golf Course Road Cross Street Data in Jackson, CA [Dataset]. https://www.ownerly.com/ca/jackson/golf-course-rd-home-details
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    Dataset updated
    Dec 10, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Jackson, California
    Description

    This dataset provides information about the number of properties, residents, and average property values for Golf Course Road cross streets in Jackson, CA.

  12. h

    California International Marathon (CIM) Marathon Course GPX

    • hellodrifter.com
    gpx
    Updated May 31, 2017
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    (2017). California International Marathon (CIM) Marathon Course GPX [Dataset]. https://www.hellodrifter.com/events/california-international-marathon-cim-2025?race_id=8481
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    gpxAvailable download formats
    Dataset updated
    May 31, 2017
    Description

    GPX file for the Marathon course at California International Marathon (CIM)

  13. h

    The North Face Endurance Challenge - CA 50k Course GPX

    • hellodrifter.com
    gpx
    Updated Jul 18, 2017
    + more versions
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    (2017). The North Face Endurance Challenge - CA 50k Course GPX [Dataset]. https://www.hellodrifter.com/events/the-northface-endurance-challenge-ca-2019?race_id=1372
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    gpxAvailable download formats
    Dataset updated
    Jul 18, 2017
    Area covered
    Challenge
    Description

    GPX file for the 50k course at The North Face Endurance Challenge - CA

  14. a

    CERF - Disinvested Communities (Low Income, Disadvantaged, Race and Tribe...

    • hub.arcgis.com
    Updated Apr 6, 2023
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    Mapping Black California (2023). CERF - Disinvested Communities (Low Income, Disadvantaged, Race and Tribe Information) [Dataset]. https://hub.arcgis.com/maps/14536b05212240ddb93585eb5e9a71d7
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    Dataset updated
    Apr 6, 2023
    Dataset authored and provided by
    Mapping Black California
    Area covered
    Description

    CERF’s predefined definition of “disinvested communities” includes a variety of overlapping factors prioritizing specific Census tracts in need of immediate investment. While the challenges CERF qualifying “disinvested communities'' face are intersectional, this map also highlights areas of Orange County in which a single factor such as making below Orange County’s annual median income of $95,280 is a signifier of a Census tract at risk for becoming disadvantaged. For this reason, this map takes into consideration and identifies both Census tract communities that meet all of the criteria for qualifying as “disinvested communities” alongside Census tracts with only medium income as disadvantaged and thus, a warning signifier for risk of becoming a “disinvested community.”Data taken from ACS 2017-2021, SB 535 Map: https://oehha.ca.gov/calenviroscreen/sb535, Tribal Boundaries: https://services.arcgis.com/jDGuO8tYggdCCnUJ/arcgis/rest/services/California_Tribal_Land_Boundaries/FeatureServer

  15. o

    Old Course Court Cross Street Data in Valley Springs, CA

    • ownerly.com
    Updated Mar 19, 2022
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    Ownerly (2022). Old Course Court Cross Street Data in Valley Springs, CA [Dataset]. https://www.ownerly.com/ca/valley-springs/old-course-ct-home-details
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    Dataset updated
    Mar 19, 2022
    Dataset authored and provided by
    Ownerly
    Area covered
    Valley Springs, Old Course Court, California
    Description

    This dataset provides information about the number of properties, residents, and average property values for Old Course Court cross streets in Valley Springs, CA.

  16. o

    Old Course Drive Cross Street Data in Fresno, CA

    • ownerly.com
    Updated Dec 9, 2021
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    Ownerly (2021). Old Course Drive Cross Street Data in Fresno, CA [Dataset]. https://www.ownerly.com/ca/fresno/old-course-dr-home-details
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    Dataset updated
    Dec 9, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Fresno, Old Course Drive, California
    Description

    This dataset provides information about the number of properties, residents, and average property values for Old Course Drive cross streets in Fresno, CA.

  17. o

    Golf Course Drive Cross Street Data in Windsor, CA

    • ownerly.com
    Updated Dec 5, 2021
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    Ownerly (2021). Golf Course Drive Cross Street Data in Windsor, CA [Dataset]. https://www.ownerly.com/ca/windsor/golf-course-dr-home-details
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    Dataset updated
    Dec 5, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Windsor, Golf Course Drive, California
    Description

    This dataset provides information about the number of properties, residents, and average property values for Golf Course Drive cross streets in Windsor, CA.

  18. C

    Medical Service Study Areas

    • data.chhs.ca.gov
    • data.ca.gov
    • +3more
    Updated Dec 6, 2024
    + more versions
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    Department of Health Care Access and Information (2024). Medical Service Study Areas [Dataset]. https://data.chhs.ca.gov/dataset/medical-service-study-areas
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    geojson, html, zip, arcgis geoservices rest api, kml, csvAvailable download formats
    Dataset updated
    Dec 6, 2024
    Dataset provided by
    CA Department of Health Care Access and Information
    Authors
    Department of Health Care Access and Information
    Description
    This is the current Medical Service Study Area. California Medical Service Study Areas are created by the California Department of Health Care Access and Information (HCAI).

    Check the Data Dictionary for field descriptions.


    Checkout the California Healthcare Atlas for more Medical Service Study Area information.

    This is an update to the MSSA geometries and demographics to reflect the new 2020 Census tract data. The Medical Service Study Area (MSSA) polygon layer represents the best fit mapping of all new 2020 California census tract boundaries to the original 2010 census tract boundaries used in the construction of the original 2010 MSSA file. Each of the state's new 9,129 census tracts was assigned to one of the previously established medical service study areas (excluding tracts with no land area), as identified in this data layer. The MSSA Census tract data is aggregated by HCAI, to create this MSSA data layer. This represents the final re-mapping of 2020 Census tracts to the original 2010 MSSA geometries. The 2010 MSSA were based on U.S. Census 2010 data and public meetings held throughout California.


    <a href="https://hcai.ca.gov/">https://hcai.ca.gov/</a>

    Source of update: American Community Survey 5-year 2006-2010 data for poverty. For source tables refer to InfoUSA update procedural documentation. The 2010 MSSA Detail layer was developed to update fields affected by population change. The American Community Survey 5-year 2006-2010 population data pertaining to total, in households, race, ethnicity, age, and poverty was used in the update. The 2010 MSSA Census Tract Detail map layer was developed to support geographic information systems (GIS) applications, representing 2010 census tract geography that is the foundation of 2010 medical service study area (MSSA) boundaries. ***This version is the finalized MSSA reconfiguration boundaries based on the US Census Bureau 2010 Census. In 1976 Garamendi Rural Health Services Act, required the development of a geographic framework for determining which parts of the state were rural and which were urban, and for determining which parts of counties and cities had adequate health care resources and which were "medically underserved". Thus, sub-city and sub-county geographic units called "medical service study areas [MSSAs]" were developed, using combinations of census-defined geographic units, established following General Rules promulgated by a statutory commission. After each subsequent census the MSSAs were revised. In the scheduled revisions that followed the 1990 census, community meetings of stakeholders (including county officials, and representatives of hospitals and community health centers) were held in larger metropolitan areas. The meetings were designed to develop consensus as how to draw the sub-city units so as to best display health care disparities. The importance of involving stakeholders was heightened in 1992 when the United States Department of Health and Human Services' Health and Resources Administration entered a formal agreement to recognize the state-determined MSSAs as "rational service areas" for federal recognition of "health professional shortage areas" and "medically underserved areas". After the 2000 census, two innovations transformed the process, and set the stage for GIS to emerge as a major factor in health care resource planning in California. First, the Office of Statewide Health Planning and Development [OSHPD], which organizes the community stakeholder meetings and provides the staff to administer the MSSAs, entered into an Enterprise GIS contract. Second, OSHPD authorized at least one community meeting to be held in each of the 58 counties, a significant number of which were wholly rural or frontier counties. For populous Los Angeles County, 11 community meetings were held. As a result, health resource data in California are collected and organized by 541 geographic units. The boundaries of these units were established by community healthcare experts, with the objective of maximizing their usefulness for needs assessment purposes. The most dramatic consequence was introducing a data simultaneously displayed in a GIS format. A two-person team, incorporating healthcare policy and GIS expertise, conducted the series of meetings, and supervised the development of the 2000-census configuration of the MSSAs.

    MSSA Configuration Guidelines (General Rules):- Each MSSA is composed of one or more complete census tracts.- As a general rule, MSSAs are deemed to be "rational service areas [RSAs]" for purposes of designating health professional shortage areas [HPSAs], medically underserved areas [MUAs] or medically underserved populations [MUPs].- MSSAs will not cross county lines.- To the extent practicable, all census-defined places within the MSSA are within 30 minutes travel time to the largest population center within the MSSA, except in those circumstances where meeting this criterion would require splitting a census tract.- To the extent practicable, areas that, standing alone, would meet both the definition of an MSSA and a Rural MSSA, should not be a part of an Urban MSSA.- Any Urban MSSA whose population exceeds 200,000 shall be divided into two or more Urban MSSA Subdivisions.- Urban MSSA Subdivisions should be within a population range of 75,000 to 125,000, but may not be smaller than five square miles in area. If removing any census tract on the perimeter of the Urban MSSA Subdivision would cause the area to fall below five square miles in area, then the population of the Urban MSSA may exceed 125,000. - To the extent practicable, Urban MSSA Subdivisions should reflect recognized community and neighborhood boundaries and take into account such demographic information as income level and ethnicity. Rural Definitions: A rural MSSA is an MSSA adopted by the Commission, which has a population density of less than 250 persons per square mile, and which has no census defined place within the area with a population in excess of 50,000. Only the population that is located within the MSSA is counted in determining the population of the census defined place. A frontier MSSA is a rural MSSA adopted by the Commission which has a population density of less than 11 persons per square mile. Any MSSA which is not a rural or frontier MSSA is an urban MSSA. Last updated December 6th 2024.
  19. o

    Water Course Drive Cross Street Data in Diamond Bar, CA

    • ownerly.com
    Updated Feb 14, 2025
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    Ownerly (2025). Water Course Drive Cross Street Data in Diamond Bar, CA [Dataset]. https://www.ownerly.com/ca/diamond-bar/water-course-dr-home-details
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    Dataset updated
    Feb 14, 2025
    Dataset authored and provided by
    Ownerly
    Area covered
    Diamond Bar, California, Water Course Drive
    Description

    This dataset provides information about the number of properties, residents, and average property values for Water Course Drive cross streets in Diamond Bar, CA.

  20. s

    Consolidated Precincts

    • data.sacog.org
    • hub.arcgis.com
    Updated Apr 5, 2018
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    Sacramento County GIS (2018). Consolidated Precincts [Dataset]. https://data.sacog.org/maps/255dd4348bd045cea5c7c4ea949a5b4a
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    Dataset updated
    Apr 5, 2018
    Dataset authored and provided by
    Sacramento County GIS
    Description

    When the districts running on a particular election ballot are identical for 2-6 adjacent regular precincts, California Election Code 12241 allows for those precincts to be consolidated. In Sacramento County it is policy that the consolidated precinct will bear the lowest precinct number of the original regular precincts. Through the 2016 elections, consolidated precincts with 250 or more registered voters were assigned a polling place and designated "Polling Place" precincts. Consolidated precincts with less than 250 registered voters were designated "Mail Ballot" precincts. For every Polling Place Precinct there also existed a coextensive "Vote by Mail" precinct for the registered voters of that precinct who voted by mail. Since the 2018 elections, there is no longer a distinction between "Polling Place" precincts and "Mail Ballot" precincts. All Consolidated Precincts also have a corresponding and coextensive "Vote by Mail" precinct. Because the combination of contests on ballot is unique to a particular election, the set of consolidated precincts is unique to that particular election.Sacramento County Voter Registration and Elections

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California Water Boards (2023). Census Areas for 2023 Aquifer Risk Map [Dataset]. https://gis.data.ca.gov/maps/f84c2091e79c4920add5913d4d18bcc7
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Census Areas for 2023 Aquifer Risk Map

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Dataset updated
Jan 24, 2023
Dataset provided by
California State Water Resources Control Board
Authors
California Water Boards
Area covered
Description

This layer was created for use in the Aquifer Risk Map to provide summarized water quality risk data for domestic wells and state small water systems per census area (tract and block group). For more detailed descriptions of all data layers within the Aquifer Risk Map, refer to the Aquifer Risk Map Web Map page.This layer contains census block group and tract boundaries joined with:-2021 ACS Median Household Income (table B19013 column 001E - estimates only)-2021 ACS Race/Ethnicity data (table B03002 multiple columns - estimates only)-2023 Aquifer Risk Map count of total and high risk domestic wells and state small water systems per census area

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