Percent of Households without a Computer in San Bernardino County, CABy Fernando HernandezThis map visualizes the percent of households without a computer in San Bernardino County, CA. The values are organized into four classes defined by the mean and standard deviation of the values, identified by the single hue progression of the choropleth map where the darker hue indicates a higher percentage of households without a computer. A Light Gray Base map is used to emphasize the hue progressions and clearly delineate census tract and county boundaries. SourcesACS Internet Access by Age and Race Variables - BoundariesLight Gray Canvas BaseHuman Geography Label (English)

The Parcels (Public) web map provides parcel boundary information for the City of Big Bear Lake, made available for public planning and informational purposes. This version complies with California Assembly Bill AB 1785, which prohibits the publication of parcel owner names and mailing addresses in publicly accessible platforms—therefore, those fields have been redacted. Boundaries are derived from San Bernardino County parcel data and updated periodically, but are not survey-grade and may not reflect the most current assessor or recorded parcel information. For authoritative property details, users should consult the San Bernardino County Assessor’s Office. The City provides this map “as-is” and assumes no liability for errors, omissions, or misuse of the data.Dependent Application: Parcel Viewer

This dataset includes one file for each of the 51 counties that were collected, as well as a CA_Merged file with the parcels merged into a single file.Note – this data does not include attributes beyond the parcel ID number (PARNO) – that will be provided when available, most likely by the state of California.DownloadA 1.6 GB zipped file geodatabase is available for download - click here.DescriptionA geodatabase with parcel boundaries for 51 (out of 58) counties in the State of California. The original target was to collect data for the close of the 2013 fiscal year. As the collection progressed, it became clear that holding to that time standard was not practical. Out of expediency, the date requirement was relaxed, and the currently available dataset was collected for a majority of the counties. Most of these were distributed with minimal metadata.The table “ParcelInfo” includes the data that the data came into our possession, and our best estimate of the last time the parcel dataset was updated by the original source. Data sets listed as “Downloaded from” were downloaded from a publicly accessible web or FTP site from the county. Other data sets were provided directly to us by the county, though many of them may also be available for direct download. Â These data have been reprojected to California Albers NAD84, but have not been checked for topology, or aligned to county boundaries in any way. Tulare County’s dataset arrived with an undefined projection and was identified as being California State Plane NAD83 (US Feet) and was assigned by ICE as that projection prior to reprojection. Kings County’s dataset was delivered as individual shapefiles for each of the 50 assessor’s books maintained at the county. These were merged to a single feature class prior to importing to the database.The attribute tables were standardized and truncated to include only a PARNO (APN). The format of these fields has been left identical to the original dataset. The Data Interoperablity Extension ETL tool used in this process is included in the zip file. Where provided by the original data sources, metadata for the original data has been maintained. Please note that the attribute table structure changes were made at ICE, UC Davis, not at the original data sources.Parcel Source InformationCountyDateCollecDateCurrenNotesAlameda4/8/20142/13/2014Download from Alamenda CountyAlpine4/22/20141/26/2012Alpine County PlanningAmador5/21/20145/14/2014Amador County Transportation CommissionButte2/24/20141/6/2014Butte County Association of GovernmentsCalaveras5/13/2014Download from Calaveras County, exact date unknown, labelled 2013Contra Costa4/4/20144/4/2014Contra Costa Assessor’s OfficeDel Norte5/13/20145/8/2014Download from Del Norte CountyEl Dorado4/4/20144/3/2014El Dorado County AssessorFresno4/4/20144/4/2014Fresno County AssessorGlenn4/4/201410/13/2013Glenn County Public WorksHumboldt6/3/20144/25/2014Humbodt County AssessorImperial8/4/20147/18/2014Imperial County AssessorKern3/26/20143/16/2014Kern County AssessorKings4/21/20144/14/2014Kings CountyLake7/15/20147/19/2013Lake CountyLassen7/24/20147/24/2014Lassen CountyLos Angeles10/22/201410/9/2014Los Angeles CountyMadera7/28/2014Madera County, Date Current unclear likely 7/2014Marin5/13/20145/1/2014Marin County AssessorMendocino4/21/20143/27/2014Mendocino CountyMerced7/15/20141/16/2014Merced CountyMono4/7/20144/7/2014Mono CountyMonterey5/13/201410/31/2013Download from Monterey CountyNapa4/22/20144/22/2014Napa CountyNevada10/29/201410/26/2014Download from Nevada CountyOrange3/18/20143/18/2014Download from Orange CountyPlacer7/2/20147/2/2014Placer CountyRiverside3/17/20141/6/2014Download from Riverside CountySacramento4/2/20143/12/2014Sacramento CountySan Benito5/12/20144/30/2014San Benito CountySan Bernardino2/12/20142/12/2014Download from San Bernardino CountySan Diego4/18/20144/18/2014San Diego CountySan Francisco5/23/20145/23/2014Download from San Francisco CountySan Joaquin10/13/20147/1/2013San Joaquin County Fiscal year close dataSan Mateo2/12/20142/12/2014San Mateo CountySanta Barbara4/22/20149/17/2013Santa Barbara CountySanta Clara9/5/20143/24/2014Santa Clara County, Required a PRA requestSanta Cruz2/13/201411/13/2014Download from Santa Cruz CountyShasta4/23/20141/6/2014Download from Shasta CountySierra7/15/20141/20/2014Sierra CountySolano4/24/2014Download from Solano Couty, Boundaries appear to be from 2013Sonoma5/19/20144/3/2014Download from Sonoma CountyStanislaus4/23/20141/22/2014Download from Stanislaus CountySutter11/5/201410/14/2014Download from Sutter CountyTehama1/16/201512/9/2014Tehama CountyTrinity12/8/20141/20/2010Download from Trinity County, Note age of data 2010Tulare7/1/20146/24/2014Tulare CountyTuolumne5/13/201410/9/2013Download from Tuolumne CountyVentura11/4/20146/18/2014Download from Ventura CountyYolo11/4/20149/10/2014Download from Yolo CountyYuba11/12/201412/17/2013Download from Yuba County

This ownership dataset utilizes a methodology that results in a federal ownership extent that matches the Federal Responsibility Areas (FRA) footprint from CAL FIRE's State Responsibility Areas for Fire Protection (SRA) data. FRA lands are snapped to county parcel data, thus federal ownership areas will also be snapped. Since SRA Fees were first implemented in 2011, CAL FIRE has devoted significant resources to improve the quality of SRA data. This includes comparing SRA data to data from other federal, state, and local agencies, an annual comparison to county assessor roll files, and a formal SRA review process that includes input from CAL FIRE Units. As a result, FRA lands provide a solid basis as the footprint for federal lands in California (except in the southeastern desert area). The methodology for federal lands involves:

This dataset comprises road centerlines for all roads in San Diego County. Road centerline information is collected from recorded documents (subdivision and parcel maps) and information provided by local jurisidictions (Cities in San Diego County, County of San Diego). Road names and address ranges are as designated by the official address coordinator for each jurisidcition. Jurisdictional information is created from spatial overlays with other data layers (e.g. Jurisdiction, Census Tract).The layer contains both public and private roads. Not all roads are shown on official, recorded documents. Centerlines may be included for dedicated public roads even if they have not been constructed. Public road names are the official names as maintained by the addressing authority for the jurisdiction in which the road is located. Official road names may not match the common or local name used to identify the road (e.g. State Route 94 is the official name of certain road segments commonly referred to as Campo Road).Private roads are either named or unnamed. Named private roads are as shown on official recorded documents or as directed by the addressing authority for the jurisdiction in which the road is located. Unnamed private roads are included where requested by the local jurisidiction or by SanGIS JPA members (primarily emergency response dispatch agencies). Roads are comprised of road segments that are individually identified by a unique, and persistent, ID (ROADSEGID). Roads segments are terminated where they intersect with each other, at jurisdictional boundaries (i.e. city limits), certain census tract and law beat boundaries, at locations where road names change, and at other locations as required by SanGIS JPA members. Each road segment terminates at an intersection point that can be found in the ROADS_INTERSECTION layer.Road centerlines do not necessarily follow the centerline of dedicated rights-of-way (ROW). Centerlines are adjusted as needed to fit the actual, constructed roadway. However, many road centerline segments are created intially based on record documents prior to construction and may not have been updated to meet as-built locations. Please notify SanGIS if the actual location differs from that shown. See the SanGIS website for contact information and reporting problems (http://www.sangis.org/contact/problem.html).Note, the road speeds in this layer are based on road segment class and were published as part of an agreement between San Diego Fire-Rescue, the San Diego County Sheriff's Department, and SanGIS. The average speed is based on heavy fire vehicles and may not represent the posted speed limit.

This parcel lines feature class represents the current city parcel lines within the City of Los Angeles. It shares topology with the Landbase Parcel_polygons feature class. The Mapping and Land Records Division of the Bureau of Engineering, Department of Public Works provides the most current geographic information of the public right of way, ownership and land record information. The legal boundaries are determined on the ground by license surveyors in the State of California, and by recorded documents from the Los Angeles County Recorder's office and the City Clerk's office of the City of Los Angeles. Parcel and ownership information are available on NavigateLA, a website hosted by the Bureau of Engineering, Department of Public Works.Associated information about the landbase parcel lines is entered into attributes. Principal attributes include:CV_LAYER: is the principal field that describes the various types of lines like street and freeway right-of-ways, tract, lots, government property and easements lines, private street lines, utility right-of-ways, and ownership lines. For a complete list of attribute values, please refer to Landbase_parcel_lines_data_dictionary.Landbase parcels lines layer was created in geographical information systems (GIS) software to display the location of parcel lots. The parcels lines layer is a feature class in the LACityLandbaseData.gdb Geodatabase dataset. The layer consists of spatial data as a line feature class and attribute data for the features. The lines are derived from the polygon feature class in the landbase parcels layer, and information about the lines is entered into attributes. The CV_LAYER field values describe the various types of lines. The right-of-way, row, line features consist of CV_LAYER = 6, CV_LAYER = 106, and portions of CV_LAYER = 1 where that line is both the city boundary and the parcel line. In some cases, a parcel line will share two different type descriptions. Refer to CV_LAYER field metadata for further explantion. Parcel information should only be added to the Landbase Parcels layer if documentation exists, such as a Deed or a Plan approved by the City Council. When seeking the definitive description of real property, consult the recorded Deed or Plan.List of Fields:ASSETIDCV_LAYER: This value is a number representing a different type of user-assigned layer. Each of the line segments in the landbase parcels lines are assigned one of the CV_LAYER numbers, representing a different type of line work, described below. In some cases, a parcel line will share two different type descriptions. Such as, a parcel line may have CV_LAYER = 1 City Boundary line, and it is a CV_LAYER = 8 Tract line. The Tract line description is used first, and the City Boundary line description is used second. When selecting City Boundary line using CV_LAYER = 1, then (special way to select data...). The right-of-way, row, line features consist of CV_LAYER = 6, CV_LAYER = 106, and portions of CV_LAYER = 1 where that line is both the city boundary and the parcel line. Values: • 50 - Lot cut linework. • 38 - Freeway ease as easement lines. • 108 - Tract lines that are private street lines. • 8 - Tract lines, Rancho lines, Freeway (Fwy), and Right of way lines. • 30 - Former city boundary lines; other city or county boundary line. • 34 - Overlap lines. • 6 - Right of way (R/W) sidelines. • 19 - LA City easement lines. • 21 - All governmental lines (Fee). • 37 - APN (BPP) lines shown on tax assessors map (PCL maps); but no new PIN is created for the parcels polygon feature. • 48 - Subdivision title anno shown for ownership purpose (lot cut). • 10 - Lot lines. • 68 - SBBM (San Bernardino Base Meridian) section lines. • 1 - Boundary lines (existing). • 110 - Lot lines that are private street lines. • 18 - All governmental easement lines (except LA City and State freeway ease right of way lines). • 106 - Fwy traveled roadway lines; Dash right of way lines; Railroad and transmission lines. • 0 - Cadastral format.SHAPE: Feature geometry.OBJECTID: Internal feature number.ID: A unique numeric identifier of the polygon. The ID value is the last part of the PIN field value.MAPSHEET: The alpha-numeric mapsheet number, which refers to a valid B-map or A-map number on the Cadastral tract index map. Values: • B, A, -5A - Any of these alpha-numeric combinations are used, whereas the underlined spaces are the numbers.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2020 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile.

This map shows only shows the San Bernardino County as a view of the total population of people age 18+ in the San Bernardino County as well as the total population in that area. The map shows the density of the total population in 2020 and the total people who are 18+ in the San Bernardino County. This just goes to show that there are a lot of people living in the San Bernardino County who are at 18+ but most part there are more total population in 2020 then people counted to be 18+. A lot of citizens live in the population dense areas like Ontario, Rancho Cucamango, Fontana, and Redlands. On the other hand not a lot of people live in Big Bear City, and West Wood because it is more expensive to live up there than it is to live in an apartment in the bigger cities.To create this layer, the USA Census Tract layer from live atlas was filtered in San Bernardino County then enriched with 2020 data of number of total citizens in 2020 and citizens at the age of 18+.

This dataset comprises road centerlines for all roads in San Diego County. Road centerline information is collected from recorded documents (subdivision and parcel maps) and information provided by local jurisidictions (Cities in San Diego County, County of San Diego). Road names and address ranges are as designated by the official address coordinator for each jurisidcition. Jurisdictional information is created from spatial overlays with other data layers (e.g. Jurisdiction, Census Tract).The layer contains both public and private roads. Not all roads are shown on official, recorded documents. Centerlines may be included for dedicated public roads even if they have not been constructed. Public road names are the official names as maintained by the addressing authority for the jurisdiction in which the road is located. Official road names may not match the common or local name used to identify the road (e.g. State Route 94 is the official name of certain road segments commonly referred to as Campo Road).Private roads are either named or unnamed. Named private roads are as shown on official recorded documents or as directed by the addressing authority for the jurisdiction in which the road is located. Unnamed private roads are included where requested by the local jurisidiction or by SanGIS JPA members (primarily emergency response dispatch agencies). Roads are comprised of road segments that are individually identified by a unique, and persistent, ID (ROADSEGID). Roads segments are terminated where they intersect with each other, at jurisdictional boundaries (i.e. city limits), certain census tract and law beat boundaries, at locations where road names change, and at other locations as required by SanGIS JPA members. Each road segment terminates at an intersection point that can be found in the ROADS_INTERSECTION layer.Road centerlines do not necessarily follow the centerline of dedicated rights-of-way (ROW). Centerlines are adjusted as needed to fit the actual, constructed roadway. However, many road centerline segments are created intially based on record documents prior to construction and may not have been updated to meet as-built locations. Please notify SanGIS if the actual location differs from that shown. See the SanGIS website for contact information and reporting problems (http://www.sangis.org/contact/problem.html).Note, the road speeds in this layer are based on road segment class and were published as part of an agreement between San Diego Fire-Rescue, the San Diego County Sheriff's Department, and SanGIS. The average speed is based on heavy fire vehicles and may not represent the posted speed limit.

This data collection includes housing data by census tract for San Diego County in 1970. Sample counts (5%, 15% and 20%) are derived from the Census of Population and Housing, 1970: Summary Tape File 4A: Housing. Housing characteristics include housing value, number of housing units in structure, number of rooms in housing unit, year structure was built, occupancy/vacancy status, tenure, rent, type of heating fuel, source of water, and presence of an air conditioner and other home appliances. Counts are available for the total, Negro, and Spanish American populations. Negros are defined as a racial category by the Census Bureau. In California, Spanish Americans include "Persons of Spanish language or Spanish surname". The California state 4A data file was processed with PERL and SPSS by the Social Science Data Collection (SSDC) staff of the University of California, San Diego from Census Bureau data processed by DUALabs, Inc. and archived at the Odum Institute. PERL script concatenated record type codes and output six data files that match the record types described in the codebook: tables 001-040, tables 041-107, tables 108-119, tables 120-130, tables 131-152 and Spanish American tables 153-200. These si x files were subsequently processed with SPSS to extract tracts for San Diego County and recompute some aggregate housing value data content. Users may browse a list of data variables (tables and cells) included in these six data files. The Census Bureau produced printed reports for 1970 Summary Tape File 4A. The UCSD Geisel Library maintains printed reports and census tract maps in 1970 Census of Population and Housing Census Tracts, San Diego, Calif. (SSH Docs US Stacks C 3.223/11:970/188).

This data set of line features represent Riverside County's recorded street centerlines.This data set was designed to carry out functions of the Transportation department and is not a true street network layer. Centerlines do not have complete "connectivity" due to the fact that this layer is primarily roads that have been recorded but does not necessarily contain all roads. OBJECTID - Internal feature number. STNAME - Recorded name of the centerline. TYPE - Used to classify roads, primarily by surface type. Description of the codes found in the attribute "TYPE" TYPE DESCRIPTION C01 Federal Aid Interstate C02 State Highways C03 F.A.U. Maintained C04 F.A.S. Maintained C05 Paved Surface Maintained C06 Paved Surface (Traveled) C07 Graveled Surface Maintained C08 Graveled Surface (Traveled) C09 Dirt Surface Maintained C10 Dirt Surface (Traveled) C11 Accepted For Public Use C12 Non-County/Accepted for P.U. C13 Non-County road C14 Vacated C15 Abandon C16 Maintained F.A.U./Non-County C17 Maintained F.A.S./Non-County C18 Maintained Paved/Accepted C19 Maintained Paved/Non-County C20 Maintained Paved/Vacated C21 Maintained Gravel/Accepted C22 Maintained Gravel/Non-County C23 Maintained Gravel/Vacated C24 Maintained Dirt/Accepted C25 Maintained Dirt/Non-County C26 Maintained Dirt/Vacated C27 Accepted/Vacated C28 Maintained Under Contract C29 City Road C30 Paved Maintained/Dirt Maintained C31 Dedicated and Accepted/CFD Maintained W01 Maintained for City W02 Maintained for City/Non-County W03 Maintained for City/Non-County (Reversed) W04 Maintained for City/Accepted W05 F.A.U. Maintained/Maintained for City W06 Dirt Surface Maintained/Maintained for City W07 Paved Surface Maintained/Maintained for City W08 Graveled Surface Maintained/Maintained for City Z01 Traffic Division Modeling Connectivity Use Only (The "W" series within the TYPE field were initially created for the City of Wildomar, but have had their application expanded to include any Centerline where the County maintains the road for a City - typically for a limited period after a City's incorporation. The "W" will continue as a convention to make it easy to distinguish such roads from roads normally maintained by the County, even though it is understood that the "W" will lose its initial association with the City of Wildomar over time.). GENPLANTYPE - General Plan Classification of the Road. Not corrected for the RCLIS 2003 updated at thsi time. Description of the codes found in the attribute "GENPLANTYPE" GENPLANTYPE SYMBOL DESCRIPTION 01 101 FREEWAY 02 201 EXPRESSWAY 03 301 URBAN ARTERIAL 04 304 URBAN ARTERIAL (PROPOSED) 05 401 ARTERIAL 06 404 ARTERIAL (PROPOSED) 07 501 MOUNTAIN ARTERIAL 08 504 MOUNTAIN ARTERIAL (PROPOSED) 09 13 MAJOR 10 16 MAJOR (PROPOSED) 11 21 SECONDARY 12 24 SECONDARY (PROPOSED) 13 801 SPECIFIC PLAN ROAD 14 804 SPECIFIC PLAN ROAD (PROPOSED) 15 25 SCENIC ROUTE 16 28 SCENIC ROUTE (PROPOSED) 17 0 COLLECTOR(PROPOSED) indicates that the road is part of the "General PLan Alignment" but does not currently exist as a legal centerline. This type of centerline will be stored in the CENTERLINEREF data set. DIRECTION - Represents the direction of traffic flow. Presently not supported. NAMEID - Numerical representation of the recorded street name. Unique STNAME and NAMEID values are tracked in the STNMS table. RDNUMBER - Used by the Transportation Department to identify county maintained roads. Used for accounting purposes. SEGNUMBER - Used in combination with the RDNUMBER to uniquely identify an individual centerline, segment, or length. No longer supported. FLAG - Indicates whether or not an arc will be used in a street network data set. Presently not used because there is no street network data set. L_F_ADD - The starting address for the left side of the street. L_T_ADD - The ending address for the left side of the street. R_F_ADD - The starting address for the right side of the street. R_T_ADD - The ending address for the right side of the street. PRE_DIR - The street direction prefix. Example: 'E' for east. STREET_NAME - The base legal street name of the centerline. Example: "MAIN". STREET_TYPE - The Street Name Type abbreviation. Example: 'ST' for street. Valid values for the STREET_TYPE field are: ' ' - ' ' (No Type is a space) AVE - AVENUE BLVD - BOULEVARD CIR - CIRCLE CT - COURT CV - COVE DR - DRIVE EXPY - EXPRESSWAY FWY - FREEWAY HWY - HIGHWAY LN - LANE LOOP - LOOP PATH - PATH PKWY - PARKWAY PL - PLACE PT - POINT RD - ROAD SQ - SQUARE ST- STREET TER - TERRACE TRL - TRAIL WALK - WALK WAY - WAY SUF_DIR - The street direction suffix. Example: "N' for north. TRACT - The tract map number in which the centerline can be found. MODIFIED - Modified Date CREATED - Created Date SOURCE_NOTES - References to legal documentation related to the Centerline found during research, including such things as recordation histroy, name change history, and acceptance for or termination of maintenance information, FULL_NAME - Name used to construct ROUTE_NAME field values. Used to detect changes in the STNAME value. AREA_PLAN_ABBREVIATION - Abbreviated Area Plan Name used to create ROUTE_NAME Valid values for AREA_PLAN_ABBREVIATION are: DESCN - Desert Center ECDES - East County/Desert ECVAP - Eastern Coachella Valley Plan ELSIN - Lake Elsinore EVALE - Eastvale HIGHG - Highgrove HVWIN - Harvest Valley/Winchester JURUP - Jurupa LAKEV - Lakeview/Nuevo LMATH - Lake Mathews MARCH - March MEADV - Mead Valley PASS - Pass Area PVERD - Palo Verde Valley RECHE - Reche Canyon REMAP - REMAP (Riverside Extended Mountain Area Plan) RIVER - Riverside/Corona/Norco SANJA - San Jacinto Valley SBCO - San Bernardino County SUNCI - Sun City/Menifee Valley SWAP - Southwest Area Plan TEMES - Temescal Valley WCVAP - Western Coachella Valley Area Plan SUBROUTE - Optional Identifier used to build ROUTE_NAME to separate branches or distiguish discontinuous portions of a street within an area plan that are unlikely to ever form a continuous route. ROUTE_NAME - Primary field used to construct a Linear Referencing derivative of the Centerlines layer. THis values is a component of ROUTE_ALT1 and ROUTE_ALT2 and is overriden by those fields when they have values. ROUTE_DIR1 - Used with ROUTE_NAME to build values for ROUTE_ALT1 when there is a value assigned. ROUTE_ALT1 - First Alternative ROUTE_NAME value. Typically used for one-way streets that are oriented Norh or East. ROUTE_DIR2 - Used with ROUTE_NAME to build values for ROUTE_ALT2 when there is a value assigned. ROUTE_ALT2 - Second Alternative ROUTE_NAME value. Typically used for one-way streets that are oriented Souh or West. BUILD_PRIORITY - Used to create Linear Referenced Routes. Sets the corner from which to build routes. Valuid values for BUILD_PRIORITY are: UL - Upper Left (Default) LL - Lower Left UR - Upper Right LR - Lower Right LINE_LINK - Geometric ID of Centerline arc. Made up of the From X/Y coordinate, the To X/Y coordinate and the Length. Used to detect geometric changes to an existing Centerline. CL_ID - Duplicate of OBJECTID. USed for detecting newly added segments to the network each week or to relate and join exported versions of CENTERLINES back to the original CENTERLINE feature class.FROM_X_COORDINATE, FROM_Y_COORDINATE, TO_X_COORDINATE and TO_Y_COORDINATE: The coordinate data for the end points of the line in numeric format.ROUTE_ORIENTED: Indicates if the line is drawn in the direction that corresponds to the Routes created based on the ROUTE_NAME fields.TRAVEL_DIRECTIONS: Indicates whether the road can be driven and in what directions. Values include "Both Ways", "From-To", "To-From" and "No Ways".CA_ROAD_SYSTEM_PAGE: The map page location of the California Roadway System (CRS) Maps containing the Centerline: See http://www.dot.ca.gov/hq/tsip/hseb/crs_maps/CA_ROAD_SYSTEM_INDEX: The map index grid location of the California Roadway System (CRS) Maps containing the Centerline: See http://www.dot.ca.gov/hq/tsip/hseb/crs_maps/CA_FUNCTIONAL_CLASS: The California Functional Classification of the Roadway per the CRS maps. Only classifications between 1 and 5 may qualify for state and federal funds. Classifications include:1 - Interstate2 - Other Freeway or Expressway3 - Other Principal Arterial4 - Minor Arterial5 - Major Collector6 - Minor Collector7 - LocalFEDERAL_ROUTE and FEDERAL_ROUTE_TYPE: The number of the Federal Interstate or U.S. Highway and the operational type of the facility, where applicable.STATE_ROUTE and STATE_ROUTE_TYPE: The number of the State Route or Highway and the operational type of the facility, where applicable.COUNTY_ROUTE: The number of a County Route.CITY_LEFT or CITY_RIGHT: The City or Community name to the left or right of the Centerline. Used for address geolocators.STATE: CA for Califonia. For geolocators that use the State field.ZIP_LEFT or ZIP_RIGHT: The ZIP code to the left or right of the Centerline. Used for address geolocators.FULL_NAME_MIXED_CASE: The full street name in mixed Upper and Lower case letters, sometimes also called Title case. May be used for labeling and geolocators.

This map differentiates areas with people leaning either liberal or conservative. With Smart Mapping, two variables are mapped and shown using dot density. Here, the each red dot represents two people who affiliate with the republican party and each blue dot represents two people who affiliate with the democratic party. Click on the map to view a breakdown of the total number of democrats and republicans in each San Bernardino County Census tract.To create this layer, the USA Census Tracts layer from the Living Atlas was filtered to San Bernardino County then enriched with 2020 data of the number of democrats and republicans.

This map shows median age in the US by country, state, county, tract, and congressional district for 2023. ArcGIS Online account required for use.The pop-up is configured to show median age, median age by sex, child age (under 18) population, senior age (over 65) population, the age dependency ratio, and population by 5 year age increments. Blending is used at the Tract level to highlight areas of human settlement. Congressional district is turned off by default and can be enabled in the Layers pane.Esri 2023 Age Dependency Ratio is the estimated ratio of the child population (Age 0-17) and senior population (Age 65+) to the working-age population (Age 18-64) in the geographic area. This ratio is then multiplied by 100. Higher ratios denote that a greater burden is carried by working-age people. Lower ratios mean more people are working who can support the dependent population. Read more. See Updated Demographics for more information on Esri Demographic variables.Esri Updated Demographics represent the suite of annually updated U.S. demographic data that provides current-year and five-year forecasts for more than two thousand demographic and socioeconomic characteristics, a subset of which is included in this layer. Included are a host of tables covering key characteristics of the population, households, housing, age, race, income, and much more. Esri's Updated Demographics data consists of point estimates, representing July 1 of the current and forecast years.Esri Updated Demographics DocumentationMethodologyUnderstanding Esri’s Updated Demographics portfolioEssential Esri Demographics vocabularyThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. This layer requires an ArcGIS Online subscription and does not consume credits. Please cite Esri when using this data. For information about purchasing additional Esri's Updated Demographics data, contact datasales@esri.com. Feedback: we would like to hear from you while this layer is in beta release. If you have any feedback regarding this item or Esri Demographics, please use this survey.

Download Data Dictionary (CSV)This dataset comprises polygons representing current taxable parcels, including some non-taxable parcels, specifically within the city limits of Carlsbad. The data, sourced from SanGIS, contains parcels as shown on the Assessor Parcel Map (APM). It's important to note that parcels shown in this layer may lag behind the official APM by a number of weeks due to the timing of SanGIS being notified of newly created parcels and the publication schedule of the parcel layer. The City of Carlsbad GIS processes parcels monthly, adding another delay in the inclusion of newly created parcels.Point of Contact:For inquiries about land-use details and the implications of a property being within special zones/planning areas, overlay zones, including Coastal Zone, Redevelopment Zone, Beach Overlay Zone, Fire Zone, and Visitor Zone.City of Carlsbad Planning Division1635 Faraday AvenueCarlsbad, California 92008442-339-2610For the latest and most specific tax parcel information represented by parcel polygons, please refer to the SanGIS website or consult the San Diego County Assessor/Recorder/County Clerk (ARCC).SanGIS5510 Overland Avenue, Suite 230San Diego, California 92123858-874-7000

This dataset comprises right of way polygons within the County of San Diego. A right of way is defined as a dedicated right for the public to travel unhindered, to access a route regardless of land ownership or any other legality. Rights-of-way are shown whether they are improved (constructed) or unimproved. Not all dedicated rights-of-way may be shown.SanGIS notes that the original source is an SDG&E dataset that has been updated on a continual basis by SanGIS since. The dataset is as current and complete as the reference data on hand. The data is updated per recorded Subdivision and Parcel maps received, Record of Surveys, Recorded Documents (Road Opening / Road Closure), Assessor Parcel map cuts, and data received from local jurisdictions including State and Federal entitites. The right-of-way dataset is maintained as part of the SanGIS parcel dataset. The right-of-way parcel subtype is excluded from the published parcel layer and is published separately as this right-of-way layer as requested by the City and County of San Diego. Data schema for this layer does not include attributes from the Master Property Record (MPR) that are added to the published Parcel layers. For details of attributes refer to field definitions under resources.

Map showing the locations and status of all cool zones in San Diego County. This map also includes demographic data from the American Community Survey which shows the percentage of senior citizens by census tract.

Polygons representing current HUD subsidized project parcels in San Diego County, with the original HUD subsidized projects list cleaned and joined to the San Diego County Parcel Map. Programs include public housing, project-based section 8, and the 202, 236, and 811 programs.

The California Surplus Land Act (SLA) established procedures for government entities to sell or lease their surplus land, primarily for affordable housing development. When surplus land becomes available, local governments are required to submit a Notice of Availability to the California Department of Housing and Community Development (HCD). This layer contains all the parcels identified under this law in San Diego County, with the original California Surplus Land Notices of Availability List cleaned and joined to the San Diego County Parcel Map. Several parcels in the original list did not immediately match with the parcel map; we were able to verify their matches with help from the San Diego County Assessor's Office.

This dataset gives a comprehensive view of demographic details from the 2010 Census, zooming in on smaller regions called census tracts, specifically within the City of Carlsbad. It includes important factors like population distribution, racial makeup, family structures, household types, and housing details. Tailored for visualizing and analyzing local demographics, it's especially helpful for understanding trends within specific regions. The dataset aims to support informed decision-making by providing a detailed look at the social and housing landscape at a more localized level within the City of Carlsbad.It's important to note that the original dataset was sourced from the San Diego Geographic Information Source (SANGIS). Initially covering census tracts for the entire San Diego County, we refined the dataset by clipping it to the specific boundary line of the City of Carlsbad. This process was undertaken to tailor the dataset to the unique demographic profile of Carlsbad, making it more pertinent for local analyses and mapping.For additional details and metadata regarding the broader San Diego Countywide layer, it is recommended to visit the SanGIS website. Accessing the metadata on the SANGIS website will provide users with a deeper understanding of the dataset's origins, characteristics, and any additional information relevant to the broader county context.Point of Contact:Point of Contact Operations Manager, Operations Manager U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch 4600 Silver Hill Road, Stop 7400 Washington, DC. 20233-7400 geo.tiger@census.gov 301-763-1128

These parcels are symbolized by SCAG land use codes for San Diego County. The work was done for a GIS Practicum project at Claremont Graduate University, Spring 2023.