The water area of Santa Clara, UT was 0 in 2009.

Land Area

Water Area

Land area is a measurement providing the size, in square miles, of the land portions of geographic entities for which the Census Bureau tabulates and disseminates data. Area is calculated from the specific boundary recorded for each entity in the Census Bureau's geographic database. Land area is based on current information in the TIGER® data base, calculated for use with Census 2010.

Water Area figures include inland, coastal, Great Lakes, and territorial sea water. Inland water consists of any lake, reservoir, pond, or similar body of water that is recorded in the Census Bureau's geographic database. It also includes any river, creek, canal, stream, or similar feature that is recorded in that database as a two- dimensional feature (rather than as a single line). The portions of the oceans and related large embayments (such as Chesapeake Bay and Puget Sound), the Gulf of Mexico, and the Caribbean Sea that belong to the United States and its territories are classified as coastal and territorial waters; the Great Lakes are treated as a separate water entity. Rivers and bays that empty into these bodies of water are treated as inland water from the point beyond which they are narrower than 1 nautical mile across. Identification of land and inland, coastal, territorial, and Great Lakes waters is for data presentation purposes only and does not necessarily reflect their legal definitions.

Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API - Notes:

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Geographic and Area Datasets Involving Santa Clara, UT

  • API

    County Naturalization Index

    data.sccgov.org | Last Updated 2023-12-15T23:23:02.000Z

    This Naturalization Index lists 8,000 individuals naturalized in Santa Clara County courts from 1850 to 1934. Each entry may include the name of the person naturalized, their nationality, the date of admission, the court in which they were naturalized, and a book and page reference. The Archives does not hold any naturalization records, which are in the custody of the Santa Clara County Superior Court at 191 N. First Street, San Jose. The County's Declarations of Intention from 1850 to 1930 have been microfilmed by the Genealogical Society of Utah, and the microfilm should be available through Family History Centers. A copy of the microfilm also may be viewed at the California State Archives in Sacramento.

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    COVID-19 Wastewater Data

    data.sccgov.org | Last Updated 2024-10-01T23:29:07.000Z

    The County of Santa Clara Public Health Department provides an overview of SARS-CoV-2 virus concentration in wastewater samples collected at wastewater treatment facilities that serve people in Santa Clara County. Protocol of Sample Collection & Testing: Samples for testing consist of “settled solids” from wastewater entering each treatment plant. Samples are collected 7 days a week from the wastewater treatment plants and are transported daily to a commercial lab for analysis. Laboratory staff process the samples to quantify pieces of the SARS-CoV-2 viral genome in the wastewater. These procedures use methods to concentrate solids and extract RNA and detect viral RNA. Results are typically ready within 24 hours of sample drop-off and are uploaded to this page. The quick turnaround and posting are one of the major advantages of utilizing this data. Interpretation of Plots: Data reflected in the table below shows the results for one SARS-CoV-2 gene (N gene), and the concentrations are “normalized” by the concentration of a plant virus that is harmless to humans but is shed in stool (pepper mild mottle virus, or PMMoV). Normalizing by PMMoV adjusts for changes in the amount of feces in the sample and the efficiency of the procedures from day to day. Wastewater typically contains waste from a variety of sources, such as from your shower or a commercial process. These types of waste do not have stool (which is the source of SARS-CoV-2) so they dilute the sample. Therefore, we adjust this sample to the known amount of feces in the wastewater to get an accurate result. The curves displayed are the “7-day trimmed average” of the sample results. This is done by using 7 consecutive samples, eliminating the maximum and minimum among the 7 samples, and then taking the mean. The smoothing is right aligned. Trends in wastewater have been shown to track trends in COVID incidence. For more information, please visit dashboard view https://covid19.sccgov.org/dashboard-wastewater. This table is updated Monday, Wednesday, and Fridays.

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    Unincorporated Areas

    data.sccgov.org | Last Updated 2024-09-27T17:58:24.000Z

    Unincorporated Areas Layer. This is the official GIS layer representing Unincorporated Areas within Santa Clara County. This layer is maintained by the Planning Office for the benefit of LAFCO.

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    County Office of Planning Photographs

    data.sccgov.org | Last Updated 2023-12-15T23:29:04.000Z

    The County Office of Planning Photograph, Slide and Film Collection consists of 1,264 photographs, approximately 3,600 slides and two films. The contents of the collection visually document Santa Clara County from 1906 to 1980, with the bulk of the collection ranging from 1950 to 1970. The collection contains aerial views of the County, commercial development, housing, historical landmarks, industries, parks, public facilities, transportation, agriculture, and people. The collection concentrates on the development of the county, such as new housing developments, commercial developments, and park and recreation development. The purpose of this collection may have been to collect visuals for brochures and presentations. Currently only the photographs have been cataloged. For additional information about the collection, please see the description in the Online Archives of California (http://www.oac.cdlib.org). You may search the collection holdings for pictures of specific subjects, locations, or date by using the index below. Generally, it is preferable to use the singular rather than the plural for a subject in a search (for example, "airport" rather than "airports"). The photographs are available for viewing at the County Archives. The following search terms are prominent in the collection and can serve as a beginning point for exploring the collection. Aerial, Agriculture, Air Pollution, Airplanes, Apartments, Areas of the County, Churches, Civic Center, Commercial, County Parks, Display Models, Earthquakes and Floods, Erosion and Benching, Farming Activities, Garbage Dumps, Gas Stations, Hillside Development, Historical Landmarks, Industrial, Industry, Local Streets and Highways, Offices, Orchards, Parks and Recreation, People, Public Facilities, Recreational Activities, Residential, Santa Clara County Fair, Schools and Colleges, Shopping Centers, Single Stores, Skyline, Special Problems, Subdivisions, Traffic, Trails and Pathways, Transportation, Utilities.

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    Vital Signs: Jobs – by county

    data.bayareametro.gov | Last Updated 2020-04-13T23:20:49.000Z

    VITAL SIGNS INDICATOR Jobs (LU2) FULL MEASURE NAME Employment estimates by place of work LAST UPDATED October 2019 DESCRIPTION Jobs refers to the number of employees in a given area by place of work. These estimates do not include self-employed and private household employees. DATA SOURCE California Employment Development Department: Current Employment Statistics 1990-2018 http://www.labormarketinfo.edd.ca.gov/ U.S. Census Bureau: LODES Data Longitudinal Employer-Household Dynamics Program (2005-2010) http://lehd.ces.census.gov/ U.S. Census Bureau: American Community Survey 5-Year Estimates, Tables S0804 (2010) and B08604 (2010-2017) https://factfinder.census.gov/ Bureau of Labor Statistics: Current Employment Statistics Table D-3: Employees on nonfarm payrolls (1990-2018) http://www.bls.gov/data/ METHODOLOGY NOTES (across all datasets for this indicator) The California Employment Development Department (EDD) provides estimates of employment, by place of employment, for California counties. The Bureau of Labor Statistics (BLS) provides estimates of employment for metropolitan areas outside of the Bay Area. Annual employment data are derived from monthly estimates and thus reflect “annual average employment.” Employment estimates outside of the Bay Area do not include farm employment. For the metropolitan area comparison, farm employment was removed from Bay Area employment totals. Both EDD and BLS data report only wage and salary jobs, not the self-employed. For measuring jobs below the county level, Vital Signs assigns collections of incorporated cities and towns to sub-county areas. For example, the cities of East Palo Alto, Menlo Park, Portola Valley, Redwood City and Woodside are considered South San Mateo County. Because Bay Area counties differ in footprint, the number of sub-county city groupings varies from one (San Francisco and San Jose counties) to four (Santa Clara County). Estimates for sub-county areas are the sums of city-level estimates from the U.S. Census Bureau: American Community Survey (ACS) 2010-2017. The following incorporated cities and towns are included in each sub-county area: North Alameda County – Alameda, Albany, Berkeley, Emeryville, Oakland, Piedmont East Alameda County - Dublin, Livermore, Pleasanton South Alameda County - Fremont, Hayward, Newark, San Leandro, Union City Central Contra Costa County - Clayton, Concord, Danville, Lafayette, Martinez, Moraga, Orinda, Pleasant Hill, San Ramon, Walnut Creek East Contra Costa County - Antioch, Brentwood, Oakley, Pittsburg West Contra Costa County - El Cerrito, Hercules, Pinole, Richmond, San Pablo Marin – all incorporated cities and towns Napa – all incorporated cities and towns San Francisco – San Francisco North San Mateo - Brisbane, Colma, Daly City, Millbrae, Pacifica, San Bruno, South San Francisco Central San Mateo - Belmont, Burlingame, Foster City, Half Moon Bay, Hillsborough, San Carlos, San Mateo South San Mateo - East Palo Alto, Menlo Park, Portola Valley, Redwood City, Woodside North Santa Clara - Los Altos, Los Altos Hills, Milpitas, Mountain View, Palo Alto, Santa Clara, Sunnyvale San Jose – San Jose Southwest Santa Clara - Campbell, Cupertino, Los Gatos, Monte Sereno, Saratoga South Santa Clara - Gilroy, Morgan Hill East Solano - Dixon, Fairfield, Rio Vista, Suisun City, Vacaville South Solano - Benicia, Vallejo North Sonoma - Cloverdale, Healdsburg, Windsor South Sonoma - Cotati, Petaluma, Rohnert Park, Santa Rosa, Sebastopol, Sonoma

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    San Mateo County and Other Bay Area Counties Annual Unemployment Rate (not seasonally adjusted)

    performance.smcgov.org | Last Updated 2021-05-20T16:46:23.000Z

    San Mateo County and Other Bay Area Counties Annual Unemployment Rate (not seasonally adjusted) for years 2000-2019 Compared to Marin County, San Francisco County, Santa Clara County, and the State of California. Data is non-preliminary.

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    Santa Clara County Parks

    data.sccgov.org | Last Updated 2024-07-12T03:30:01.000Z

    Santa Clara County parkland boundaries. Includes delineation of areas currently closed to the public.

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    COVID-19 testing by healthcare system

    data.sccgov.org | Last Updated 2021-05-28T21:43:40.000Z

    The data set summarizes the number of COVID-19 tests completed among Santa Clara County residents by major healthcare systems in the county. Each ‘test’ or ‘testing incident’ represents at least one specimen tested per person, per day. This does not represent the number of individuals tested, as some people are tested multiple times over time because of the risk of frequent exposure. Source: California Reportable Disease Information Exchange. Data notes: The daily average rate of tests is the daily average number of tests completed over the past 7 days per 100,000 people served by the individual healthcare system. The State of California has defined an initial goal of at least 150 tests per day per 100,000 people. Bay Area County Health Officers set a goal of 200 tests per day per 100,000 people. This table was updated for the last time on May 20, 2021.

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    Vital Signs: Jobs – Bay Area

    data.bayareametro.gov | Last Updated 2020-04-13T23:21:14.000Z

    VITAL SIGNS INDICATOR Jobs (LU2) FULL MEASURE NAME Employment estimates by place of work LAST UPDATED October 2019 DESCRIPTION Jobs refers to the number of employees in a given area by place of work. These estimates do not include self-employed and private household employees. DATA SOURCE California Employment Development Department: Current Employment Statistics 1990-2018 http://www.labormarketinfo.edd.ca.gov/ U.S. Census Bureau: LODES Data Longitudinal Employer-Household Dynamics Program (2005-2010) http://lehd.ces.census.gov/ U.S. Census Bureau: American Community Survey 5-Year Estimates, Tables S0804 (2010) and B08604 (2010-2017) https://factfinder.census.gov/ Bureau of Labor Statistics: Current Employment Statistics Table D-3: Employees on nonfarm payrolls (1990-2018) http://www.bls.gov/data/ METHODOLOGY NOTES (across all datasets for this indicator) The California Employment Development Department (EDD) provides estimates of employment, by place of employment, for California counties. The Bureau of Labor Statistics (BLS) provides estimates of employment for metropolitan areas outside of the Bay Area. Annual employment data are derived from monthly estimates and thus reflect “annual average employment.” Employment estimates outside of the Bay Area do not include farm employment. For the metropolitan area comparison, farm employment was removed from Bay Area employment totals. Both EDD and BLS data report only wage and salary jobs, not the self-employed. For measuring jobs below the county level, Vital Signs assigns collections of incorporated cities and towns to sub-county areas. For example, the cities of East Palo Alto, Menlo Park, Portola Valley, Redwood City and Woodside are considered South San Mateo County. Because Bay Area counties differ in footprint, the number of sub-county city groupings varies from one (San Francisco and San Jose counties) to four (Santa Clara County). Estimates for sub-county areas are the sums of city-level estimates from the U.S. Census Bureau: American Community Survey (ACS) 2010-2017. The following incorporated cities and towns are included in each sub-county area: North Alameda County – Alameda, Albany, Berkeley, Emeryville, Oakland, Piedmont East Alameda County - Dublin, Livermore, Pleasanton South Alameda County - Fremont, Hayward, Newark, San Leandro, Union City Central Contra Costa County - Clayton, Concord, Danville, Lafayette, Martinez, Moraga, Orinda, Pleasant Hill, San Ramon, Walnut Creek East Contra Costa County - Antioch, Brentwood, Oakley, Pittsburg West Contra Costa County - El Cerrito, Hercules, Pinole, Richmond, San Pablo Marin – all incorporated cities and towns Napa – all incorporated cities and towns San Francisco – San Francisco North San Mateo - Brisbane, Colma, Daly City, Millbrae, Pacifica, San Bruno, South San Francisco Central San Mateo - Belmont, Burlingame, Foster City, Half Moon Bay, Hillsborough, San Carlos, San Mateo South San Mateo - East Palo Alto, Menlo Park, Portola Valley, Redwood City, Woodside North Santa Clara - Los Altos, Los Altos Hills, Milpitas, Mountain View, Palo Alto, Santa Clara, Sunnyvale San Jose – San Jose Southwest Santa Clara - Campbell, Cupertino, Los Gatos, Monte Sereno, Saratoga South Santa Clara - Gilroy, Morgan Hill East Solano - Dixon, Fairfield, Rio Vista, Suisun City, Vacaville South Solano - Benicia, Vallejo North Sonoma - Cloverdale, Healdsburg, Windsor South Sonoma - Cotati, Petaluma, Rohnert Park, Santa Rosa, Sebastopol, Sonoma

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    Bay Area County Boundaries

    data.bayareametro.gov | Last Updated 2023-02-13T16:50:17.000Z

    Geospatial dataset representing boundaries for the nine Bay Area counties: Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma.