The land area of Valley Mills, 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 -
Geographic and Area Datasets Involving Valley Mills, TX
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County Sheriff Reported Crimes
data.marincounty.org | Last Updated 2024-10-26T07:05:07.000ZReported crimes of the Marin County Sheriff's Department. Data is updated every four hours. Data begins as of January 1, 2013. Each reported crime includes its date/time, approximate location, crime type, and crime classification. NOTE: For the safety and security of victims of crimes, street address locations, other than reported street intersections or highway locations, are not exact. They are adjusted to the nearest block level. There are two columns of city/town information. The first is the reported city/town name in the crime records. The second, which is not in the crime records, is a translation of it into the more commonly known city/town name, or into Marin County when it appears to be in an unincorporated area. For example, Almonte and Tam Valley are reported city/town names, but they are both in the more commonly known city of Mill Valley. Lucas Valley translates to San Rafael, etc. We hope that the translated city/town column will facilitate analysis.
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Water Quality Sampling Data
datahub.austintexas.gov | Last Updated 2024-10-25T08:32:08.000ZData 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.
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Hudson River Valley Greenway Water Trail Designated Sites
data.ny.gov | Last Updated 2019-06-10T18:01:48.000ZA listing of sites designated as part of the Hudson River Greenway Water Trail— National Water Trail
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Water Quality Sampling Locations (deprecated)
datahub.austintexas.gov | Last Updated 2023-08-28T18:20:21.000ZDEPRECATED: 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.
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System Development Charge Survey Data
data.orcities.org | Last Updated 2016-09-02T22:00:04.000ZData for the 2016 SDC Survey. NOTE: Some data (such as residential and non-residential fees) are based on an example given to member cities in the survey. The example is provided in the attached survey.
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Environmental Sensitivity Project (2015)
data.edmonton.ca | Last Updated 2022-12-13T23:03:09.000ZHistorically, the City of Edmonton has managed ‘natural areas’ within the North Saskatchewan River Valley and the Tablelands separately, guided by inventories such as the Ribbon of Green and Geowest (1993). Over the past decade, City policy has shifted to manage natural areas with consideration of their role within an ecological network. Today, a goal of the City is to protect, preserve and enhance a functioning ecological network throughout the city limits. This network should include lands in both the river valley and the Tablelands. To further this goal, a model was developed in 2015 for determining environmental sensitivity scores across the entirety of the city. This model guided the collection of several digital data layers with coverage across the entire study area (including several ecological assets, threats to assets, and development and cultural constraints). Data layers were then used to develop spatial outputs that summarized the distribution of these assets, threats and constraints. These base layers have been compiled into this dataset to help inform planning, development and conservation throughout Edmonton. Environmental sensitivity analysis incorporated recent mapping of the ecological network of native and non-native vegetation, streams, wetlands and other waterbodies as much as possible, with practical limitations. The City’s urban Primary Land and Vegetation Inventory (uPLVI) and remote sensing data used for this assessment were completed in 2015 and 2013 respectively, which is relatively recent, but not current. Similarly, infrastructure data (roads, subdivision development and stormwater facilities) provided varied in month of acquisition from 2015. Some discrepancy between mapped and actual features may result, due to loss and changes from ongoing development activities.
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Iowa Geographic Names
mydata.iowa.gov | Last Updated 2024-09-20T22:00:21.000ZThis dataset provides the geographic names data for Iowa. All names data products are extracted from the Geographic Names Information System (GNIS), the Federal Government's repository of official geographic names. The GNIS contains the federally recognized name of each feature and defines its location by State, county, USGS topographic map, and geographic coordinates. GNIS also lists variant names, which are non-official names by which a feature is or was known. Other attributes include unique Feature ID and feature class. Feature classes under the purview of the U.S. Board on Geographic Names include natural features, unincorporated populated places, canals, channels, reservoirs, and more.
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Annual Financial Report (ACFR) Data 2018
data.orcities.org | Last Updated 2021-10-28T23:37:31.000ZThis is the City Financial Data for fiscal year 2017. Note that this data has been expanded for FY2018 to include more detailed breakdown of city finances.
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AWU_ServiceArea_ImpactFee_Boundary
datahub.austintexas.gov | Last Updated 2023-04-10T13:39:08.000ZThis 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.
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Traffic Cameras
datahub.austintexas.gov | Last Updated 2024-10-26T06:55:40.000ZThis dataset contains information about traffic cameras in Austin, TX. These cameras are used to monitor real-time LIVE traffic conditions only. Video is NOT recorded or retained of daily traffic. Traffic cameras are owned and operated by the City of Austin Transportation & Public Works Department. You may also be interested in our traffic signal operations dashboards, available at https://data.mobility.austin.gov For information about Austin's Mobility Management Center, visit: http://www.austintexas.gov/department/arterial-management This product is for informational purposes and may not have been prepared for or be suitable for legal, engineering, or surveying purposes. It does not represent an on-the-ground survey and represents only the approximate relative location of traffic signals.