The water area of Willow Creek, CA was 0 in 2012.
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 -
Geographic and Area Datasets Involving Willow Creek, CA
- API
Water Quality Sampling Data
datahub.austintexas.gov | Last Updated 2024-10-29T08:30:48.000ZData 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.
- API
Next Generation Simulation (NGSIM) Vehicle Trajectories and Supporting Data
datahub.transportation.gov | Last Updated 2024-05-20T18:02:47.000ZClick “Export” on the right to download the vehicle trajectory data. The associated metadata and additional data can be downloaded below under "Attachments". Researchers for the Next Generation Simulation (NGSIM) program collected detailed vehicle trajectory data on southbound US 101 and Lankershim Boulevard in Los Angeles, CA, eastbound I-80 in Emeryville, CA and Peachtree Street in Atlanta, Georgia. Data was collected through a network of synchronized digital video cameras. NGVIDEO, a customized software application developed for the NGSIM program, transcribed the vehicle trajectory data from the video. This vehicle trajectory data provided the precise location of each vehicle within the study area every one-tenth of a second, resulting in detailed lane positions and locations relative to other vehicles. Click the "Show More" button below to find additional contextual data and metadata for this dataset. For site-specific NGSIM video file datasets, please see the following: - NGSIM I-80 Videos: https://data.transportation.gov/Automobiles/Next-Generation-Simulation-NGSIM-Program-I-80-Vide/2577-gpny - NGSIM US-101 Videos: https://data.transportation.gov/Automobiles/Next-Generation-Simulation-NGSIM-Program-US-101-Vi/4qzi-thur - NGSIM Lankershim Boulevard Videos: https://data.transportation.gov/Automobiles/Next-Generation-Simulation-NGSIM-Program-Lankershi/uv3e-y54k - NGSIM Peachtree Street Videos: https://data.transportation.gov/Automobiles/Next-Generation-Simulation-NGSIM-Program-Peachtree/mupt-aksf
- API
Beach and Creek Monitoring Results
datahub.smcgov.org | Last Updated 2023-07-01T01:00:14.000ZWater samples from natural recreational waters in San Mateo County are sampled each week for concentrations of indicator bacteria including E. Coli, Enterococcus, and Coliform bacteria. If concentrations of indicator bacteria exceed State or County standards, the area is posted to warn users that they may become ill if they engage in water contact activities in the posted area. More information about results and testing can be found on the San Mateo County Health System site: http://smchealth.org/environ/beaches This dataset contains readings from January, 2012 to the present and is updated weekly.
- API
San Mateo County And California Crime Rates 2000-2014
performance.smcgov.org | Last Updated 2016-08-31T20:40:07.000ZViolent and property crime rates per 100,000 population for San Mateo County and the State of California. The total crimes used to calculate the rates for San Mateo County include data from: Sheriff's Department Unincorporated, Atherton, Belmont, Brisbane, Broadmoor, Burlingame, Colma, Daly City, East Palo Alto, Foster City, Half Moon Bay, Hillsborough, Menlo Park, Millbrae, Pacifica, Redwood City, San Bruno, San Carlos, San Mateo, South San Francisco, Bay Area DPR, BART, Union Pacific Railroad, and CA Highway Patrol.
- API
Deep and/or Fast Flowing Floodway
internal.open.piercecountywa.gov | Last Updated 2024-07-05T17:00:54.000ZNorthwest Hydraulic Consultants, Inc (NHC) was contracted by Pierce County Surface Water Management to develop a map of the Deep and Fast Flowing (DFF) regulated Floodway in Pierce County because this area is not mapped by FEMA and it is not intuitive where this floodway is located within the floodplain. NHC wrote the metadata. Deep and/or fast-flowing (DFF) floodway boundary for Puyallup, Carbon, Mashell, and White Rivers, South Prairie Creek, Fennel Creek, Wapato Creek, Canyon Creek, Clarks Creek, Clear Creek, Diru Creek, Rody Creek, Clover Creek, Spanaway Creek, Morey Creek, Crescent Creek, Artondale Creek, Lacamas Creek, and Swan Creek. DFF floodway determined only for detailed study areas from new (2001-2007) model studies. For additional information on this theme Please contact Dennis Dixon at 253-798-3696 for the DFF Report.pdf. Please read metadata for additional information (https://matterhorn.co.pierce.wa.us/GISmetadata/pdbswm_regulated_dff_floodway.html). Any data download constitutes acceptance of the Terms of Use (https://matterhorn.co.pierce.wa.us/Disclaimer/PierceCountyGISDataTermsofUse.pdf).
- API
Water Quality
data.kingcounty.gov | Last Updated 2024-10-23T00:10:54.000ZPrior to downloading data, please download the <b> <a href="https://data.kingcounty.gov/api/views/vwmt-pvjw/files/74efd236-ffa8-4dee-aac1-0188e110dd1c?download=true&filename=DataReadMeFile_WQ.docx">README</a></b> file. This dataset contains water quality samples collected from Puget Sound, lakes, and streams in the region which can be filtered by "Site Type" and "Area". To see where water quality samples are collected, see the <b><a href="https://data.kingcounty.gov/dataset/WLRD-Sites/wbhs-bbzf">WLRD Water Quality Collection Sites</a></b> dataset.
- API
Wastewater Treatment Plants Effluent Water Quality
data.calgary.ca | Last Updated 2024-10-07T17:34:01.000ZThis dataset contains results from the City of Calgary's Wastewater Treatment Plants that are reported monthly to Alberta Environment and Protected Areas. Results include laboratory and flow data for the wastewater treatment plants’ treated effluents, 2007 to present. Sampling locations have been added, removed, or modified over time. All laboratory results have been determined from the daily 24-hour composite samples, with the exception of Fecal Coliforms which are determined from the grab sampling. The City of Calgary uses approved and documented analytical testing methodologies, and the City of Calgary laboratory is accredited to the ISO/IEC 17025 standard. Quality Assurance programs track and ensure consistent laboratory performance. Changes in data over time, such as method detection limits, accredited testing parameters, and formatting are the result of newer analytical techniques and improved data quality standards.
- API
Japanese Knotweed Nuisance Sites and Treatments
data.marincounty.org | Last Updated 2024-01-09T18:26:17.000ZIdentification of and treatment information for Japanese Knotweed sites in West Marin County, CA. This work is performed by the Marin Knotweed Action Team (MKAT), in conjunction with the UC Cooperative Extension. Data is collected annually beginning in 2018. Japanese Knotweed is a fast growing, invasive weed that can be suppressed over multiple successive years of treatment. MKAT is a coalition of various land managers (comprised of local, state and federal agencies and non-profit organizations) who are dedicated to sustaining the vibrant and resilient Lagunitas Creek and San Geronimo Creek watersheds, specifically the control and long-term eradication of Japanese Knotweed from these areas. Treatment Details Column Description: "Not Treated" -The reasons for not treating may vary, it could be due to the owner of the property declining a treatment or a treatment is planned for a future date, or this is a new site that will have a future treatment. "Monitoring" -This is an area that has been treated in the past but is monitored for future knotweed occurrences. "Treated in Year" -The area has been treated in the current year
- API
RC 2 Water Use-2
data.sustainablesm.org | Last Updated 2022-08-02T23:47:22.000Z - API
Austin Watershed Regulation Areas
datahub.austintexas.gov | Last Updated 2024-08-03T19:38:18.000ZThis layer represents the watershed regulation areas within the jurisdictional extent of the City of Austin