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The land area of Pelican Bay, TX was 1 in 2018.

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:

1. ODN datasets and APIs are subject to change and may differ in format from the original source data in order to provide a user-friendly experience on this site.

2. To build your own apps using this data, see the ODN Dataset and API links.

3. If you use this derived data in an app, we ask that you provide a link somewhere in your applications to the Open Data Network with a citation that states: "Data for this application was provided by the Open Data Network" where "Open Data Network" links to http://opendatanetwork.com. Where an application has a region specific module, we ask that you add an additional line that states: "Data about REGIONX was provided by the Open Data Network." where REGIONX is an HREF with a name for a geographical region like "Seattle, WA" and the link points to this page URL, e.g. http://opendatanetwork.com/region/1600000US5363000/Seattle_WA

Geographic and Area Datasets Involving Pelican Bay, TX

  • API

    Water Quality Sampling Data

    datahub.austintexas.gov | Last Updated 2024-10-22T08:33:50.000Z

    Data collected to assess water quality conditions in the natural creeks, aquifers and lakes in the Austin area. This is raw data, provided directly from our Water Resources Monitoring database (WRM) and should be considered provisional. Data may or may not have been reviewed by project staff. A map of site locations can be found by searching for LOCATION.WRM_SAMPLE_SITES; you may then use those WRM_SITE_IDs to filter in this dataset using the field SAMPLE_SITE_NO.

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    County to CBSA Mapping for Large Metros

    data.bayareametro.gov | Last Updated 2022-08-26T07:12:04.000Z

    Data contains counties in the following list of CBSAS (per OMB Mar 2020 definition): Bay Area CBSAs: San Francisco-Oakland-Berkeley, CA San Jose-Sunnyvale-Santa Clara, CA Napa, CA Santa Rosa-Petaluma, CA Other CBSAs: Los Angeles-Long Beach-Anaheim, CA Washington-Arlington-Alexandria, DC-VA-MD-WV Denver-Aurora-Lakewood, CO Detroit-Warren-Dearborn, MI Philadelphia-Camden-Wilmington, PA-NJ-DE-MD Boston-Cambridge-Newton, MA-NH New York-Newark-Jersey City, NY-NJ-PA Phoenix-Mesa-Chandler, AZ Houston-The Woodlands-Sugar Land, TX Seattle-Tacoma-Bellevue, WA Atlanta-Sandy Springs-Alpharetta, GA Chicago-Naperville-Elgin, IL-IN-WI Austin-Round Rock-Georgetown, TX Dallas-Fort Worth-Arlington, TX Miami-Fort Lauderdale-Pompano Beach, FL

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    San Mateo County Water Use by District

    datahub.smcgov.org | Last Updated 2016-05-20T15:51:14.000Z

    Water used by Water district listed in CCF (Hundred Cubic Feet) for fiscal years 2006-2007 through 2012-2013. Source provided by: http://bawsca.org/annual-survey/

  • API

    Water Quality Sampling Locations (deprecated)

    datahub.austintexas.gov | Last Updated 2023-08-28T18:20:21.000Z

    DEPRECATED: Using LOCATION.WRM_SAMPLE_SITES. https://data.austintexas.gov/Locations-and-Maps/LOCATION-WRM_sample_sites/mwu5-jd6h Locations for water quality sampling performed in the Austin, TX area by the Watershed Protection Environmental Resource Management division.

  • API

    Vital Signs: Time Spent In Congestion – by metro

    data.bayareametro.gov | Last Updated 2018-07-06T18:04:56.000Z

    VITAL SIGNS INDICATOR Time Spent In Congestion (T7) FULL MEASURE NAME Congested delay on regional freeways LAST UPDATED May 2017 DESCRIPTION Time spent in traffic congestion – also known as congested delay – refers to the number of minutes weekday travelers spend in congested conditions in which freeway speeds drop below 35 mph. Total delay, a companion measure, includes both congested delay and all other delay in which speeds are below the posted speed limit. DATA SOURCE Texas Transportation Institute (unpublished analysis) 2011 Used for freeway ratio calculation Texas Transportation Institute Urban Mobility Scorecard 2014 http://mobility.tamu.edu/ums/ U.S. Census Bureau: Intercensal Estimates http://www.census.gov/popest/data/intercensal/ U.S. Bureau of Labor Statistics: Metro Area Employment http://www.bls.gov/sae/ CONTACT INFORMATION vitalsigns.info@mtc.ca.gov METHODOLOGY NOTES (across all datasets for this indicator) Delay statistics only include freeway facilities and rely upon INRIX traffic data. They reflect delay on a typical weekday, which is defined as Tuesday through Thursday during peak traffic months. Delay statistics emphasize recurring delay - i.e. consistent delay greater than 15 minutes on a specific freeway segment. Congested delay is defined as congestion occurring with speeds less than 35 mph and is commonly recognized as inefficient delay (meaning that the freeway corridor is operating at speeds low enough to reduce throughput - as opposed to speeds greater than 35 mph which increase throughput). Data sources listed above were used to calculate per-capita and per-worker statistics; national datasets were used for metro comparisons and California datasets were used for the Bay Area. Top congested corridors are ranked by total vehicle hours of delay, meaning that the highlighted corridors reflect a combination of slow speeds and heavy traffic volumes. Historical Bay Area data was estimated by MTC Operations staff using a combination of internal datasets to develop an approximate trend back to 1998. The metropolitan area comparison was performed for the combined primary urbanized areas (San Francisco-Oakland and San Jose) as well as nine other major metropolitan areas' core urbanized area. Because the Texas Transportation Institute no longer reports congested freeway delay or total freeway delay (focusing solely on total regional delay), 2011 data was used to estimate 2014 total freeway delay for each metro area by relying upon the freeway-to-regional ratio from 2011. Estimated urbanized area workers were used for this analysis using the 2011 ratios, which accounts for slight differentials between Bay Area data points under the regional historical data and the metro comparison analysis. To explore how 2016 congestion trends compare to real-time congestion on the region’s freeways, visit 511.org.

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    AWU_ServiceArea_ImpactFee_Boundary

    datahub.austintexas.gov | Last Updated 2023-04-10T13:39:08.000Z

    This polygon delineates the boundary wherein the Austin Water Utility (the City of Austin) intends to serve water, wastewater, and reclaimed water, and wherein it will charge a fee (impact fee) for connecting to their systems.

  • API

    ART Bay Area Inundation Scenario - 77" Sea Level Rise

    data.bayareametro.gov | Last Updated 2023-06-09T00:15:10.000Z

    Inundation feature set representing areas vulnerable to a 77 inch rise in sea level for the San Francisco Bay Region. This is a derivative feature set, assembled by the Metropolitan Transportation Commission (MTC), created by merging county-specific, land-only inundation feature sets. The source, county-level feature sets were produced for Adapting to Rising Tides (ART), a program led by the San Francisco Bay Conservation and Development Commission (BCDC), in September 2017. The sea level rise (SLR) scenario used to produce this data represents 77 inches (a little less than six and one-half feet) of water level above the current mean higher high water (MHHW) tidal datum. This is also considered equivalent to 36 inches of SLR plus a 100-year extreme tide. The polygons contain the extent and depth of land-only inundation (in feet) flooding of the bayside shoreline. Depth of flooding were created by subtracting a land surface Digital Elevation Model (DEM) from the water surface DEM representing the SLR scenario (MHHW + SLR). Extent of flooding were created by employing a two rule assessment to determine if an area is inundated. It must be below the assigned water surface DEM elevation value, and it must be connected to an adjacent area that was either flooded or open water. This method applies an "eight-side rule" for connectedness, where the area is considered "connected" if any of its cardinal or diagonal directions is connected to a flooded area or open water. Hydraulic connectivity assessment removes areas from the inundation zone if they are protected by levees or other topographic features that prevent inland inundation. This assessment also removed areas that are low lying but inland and not directly connected to an adjacent inundated area. The 77 inch SLR scenario can be used to approximate all extreme tide/sea level rise combinations that produce a water level in the range of MHHW + 74 inches to MHHW + 80 inches, including: - 77 inches of SLR; - 1-year extreme tide event coupled with 66 inches of SLR; - 2-year extreme tide event coupled with 60 inches of SLR; - 5-year extreme tide event coupled with 54 inches of SLR; - 10-year extreme tide event coupled with 52 inches of SLR; - 25-year extreme tide event coupled with 48 inches of SLR; - 50-year extreme tide event coupled with 42 inches of SLR, and - 100-year extreme tide event coupled with 36 inches of SLR. **In 2019, The San Francisco Bay Conservation and Development Commission released additional data to add East Contra Costa and Solano areas to the existing, 2017 data that focused on San Francisco Bay. This update did not include all the sea level scenarios produced in 2017. The 77-inch scenario was one of the ones for which data for East Contra Costa and Solano was not produced.** Source Data Produced: September 2017 MTC Publication Date: June 2019 Status: Progress: Complete Maintenance and Update Frequency: None planned Contact Information: Contact Organization: Metropolitan Transportation Commission Contact Person: Data & Visualization Contact Address: Address Type: mailing and physical Address: 375 Beale Street, Suite 800 City: San Francisco State or Province: California Postal Code: 94105 Country: United States of America Contact Voice Telephone: (415) 778-6700 Contact Electronic Mail Address: dataviz@bayareametro.gov Hours: 9:00 AM - 5:00 PM (PST) Monday through Friday

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    Infrastructure Access Areas (2021)

    data.bayareametro.gov | Last Updated 2023-06-12T19:57:05.000Z

    The Infrastructure Access Area data set is a composite data set that consists of Water Service Areas, Water Districts, and Urban Service Areas (USAs). Census designated Urbanized Areas and Urban Clusters were used as a proxy for infrastructure access in areas without adequate infrastructure data available. The Census Bureau identifies two types of urban areas: Urbanized Areas (UAs) of 50,000 or more people; Urban Clusters (UCs) of at least 2,500 and less than 50,000 people.

  • API

    ART Bay Area Inundation Scenario - 36" Sea Level Rise

    data.bayareametro.gov | Last Updated 2023-06-09T00:07:18.000Z

    Inundation feature set representing areas vulnerable to a 36 inch rise in sea level for the San Francisco Bay Region. This is a derivative feature set, assembled by the Metropolitan Transportation Commission (MTC), created by merging county-specific, land-only inundation feature sets. The source, county-level feature sets were produced for Adapting to Rising Tides (ART), a program led by the San Francisco Bay Conservation and Development Commission (BCDC), in September 2017. The sea level rise (SLR) scenario used to produce this data represents 36 inches (three feet) of water level above the current mean higher high water (MHHW) tidal datum. This is considered the most likely level of sea level rise expected by 2100; or an existing 50-year extreme tide. The polygons contain the extent and depth of land-only inundation (in feet) flooding of the bayside shoreline. Depth of flooding were created by subtracting a land surface Digital Elevation Model (DEM) from the water surface DEM representing the SLR scenario (MHHW + SLR). Extent of flooding were created by employing a two rule assessment to determine if an area is inundated. It must be below the assigned water surface DEM elevation value, and it must be connected to an adjacent area that was either flooded or open water. This method applies an "eight-side rule" for connectedness, where the area is considered "connected" if any of its cardinal or diagonal directions is connected to a flooded area or open water. Hydraulic connectivity assessment removes areas from the inundation zone if they are protected by levees or other topographic features that prevent inland inundation. This assessment also removed areas that are low lying but inland and not directly connected to an adjacent inundated area. The 36 inch SLR scenario can be used to approximate all extreme tide/sea level rise combinations that produce a water level in the range of MHHW + 33 inches to MHHW + 39 inches, including: - 36 inches of SLR; - 1-year extreme tide event coupled with 24 inches of SLR; - 2-year extreme tide event coupled with 18 inches of SLR; - 5-year extreme tide event coupled with 12 inches of SLR; - 25-year extreme tide event coupled with 6 inches of SLR, and - 50-year extreme tide event under existing conditions (no SLR). Publication Date: June 2019 Creation Date: March 2019 Status: Progress: Complete Maintenance and Update Frequency: None planned Contact Information: Contact Organization: Metropolitan Transportation Commission Contact Person: Data & Visualization Contact Address: Address Type: mailing and physical Address: 375 Beale Street, Suite 800 City: San Francisco State or Province: California Postal Code: 94105 Country: United States of America Contact Voice Telephone: (415) 778-6700 Contact Electronic Mail Address: dataviz@bayareametro.gov Hours: 9:00 AM - 5:00 PM (PST) Monday through Friday

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    Water Consumption by Water District 2008-2012

    datahub.smcgov.org | Last Updated 2015-10-21T18:01:43.000Z

    Data from BAWSCA Annual Survey. Water consumption data by water districts in San Mateo County from 2008-2013. Includes data on: water use, water use by customer class, water source, number of customer accounts, and residential per capita water consumption.