The land area of Port Richey, FL was 2 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:

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 Port Richey, FL

  • API

    GRU Customer Reclaimed Water Consumption

    data.cityofgainesville.org | Last Updated 2022-09-27T18:05:00.000Z

    Monthly reclaimed water consumption in Kilo-gallons (kgals) by service address for all customers in the GRU Service Area. Reclaimed water is also known as sewer or wastewater. (Potable water use can be found in another dataset)

  • API

    Stormwater_Features

    data.cityofgainesville.org | Last Updated 2024-04-10T19:07:06.000Z

    For NPDES Stormwater sewer system enhanced mapping project. Contains a GIS polygon feature class of stormwater basins in Gainesville, FL as a result of the NPDES stormwater system mapping project. This feature does not participate in the GIS network, and is for cartographic purposes only. This file is current only up to 02/04/08 and may be incomplete, and only covers those areas of Gainesville, FL that have been mapped up to 02/04/08. The file is also subject to constant updating as project progresses. This feature class is for informational purposes only. Do not rely on this file for accuracy of dimensions, size or location. The City of Gainesville does not assume responsibility to update this information for any error or omission in this file. This shapefile may indicate the zoning/land use on the properties as shown. Do not rely on this file for accuracy of dimensions. For specific information, contact the City of Gainesville, Florida.

  • API

    Port Susan Buoy Raw Data Output (Dec 20, 2023 - present)

    data.kingcounty.gov | Last Updated 2024-09-11T20:30:08.000Z

    This is a raw and uncorrected dataset from a buoy located at the north end of Port Susan, near the mouth of the Stillaguamish River. The buoy is deployed in partnership with the Stillaguamish Tribe of Indians. This data has not been reviewed or corrected in any manner. It should be used with extreme caution as uncorrected data may lead to misinterpretation. Anomalies may occur as a result of naturally occurring phenomena or instrument error. Corrected data will be available at a future date. Special time considerations: Date and times have PST time zone applied. Time does not change with daylight savings. Geography: The mooring is located at Latitude 48.17505 and Longitude -122.4197 ***Disclaimer*** Marine mooring data provided by King County -- including meteorological and water quality data --are preliminary and have not received final approval. Most data are relayed by satellite or other telemetry and may have received little or no review. Inaccuracies in the data may be present because of instrument malfunctions or physical changes at the measurement site. Subsequent review may result in significant revisions to the data. Data users are cautioned to consider carefully the provisional nature of the information before using it for decisions that concern personal or public safety or the conduct of business that involves substantial monetary or operational consequences. Information concerning the accuracy and appropriate uses of these data may be obtained emailing the Program Managers at MarineWQ@kingcounty.gov.

  • API

    Parcel

    data.bayareametro.gov | Last Updated 2024-09-16T04:33:58.000Z

  • API

    Crustaceans and Demersal, Large Pelagic and Small Pelagic Fish (Operational Data)

    datahub.usaid.gov | Last Updated 2024-07-12T10:14:09.000Z

    Operational data provides operational information of sampled fishing vessels that contains specifications of vessel, engine and fishing gears, and operational inputs. The variables of these data are: organization/project; ID trip; surveyor; landing site/collector; fishing ground (fisheries management area/WPP); sampling time; time; commodity; vessel name/owner; mark; vessel owner; captain name; departure; arrival; origin port; crew (individual); vessel length; vessel weight; main engine; second engine; vessel material; light power; vessel space (unit); box total (unit); space/box capacity; auxiliary vessel; auxiliary vessel; size; freezer; freezer capacity; GPS use ; GPS type; andon (mobile fishing from other provinces) vessel; andon vessel provenance; fishing gear; fishing gear specifications; value; unit; material; tools operated (unit); fishing areas; setting total; ice block total; water depth (start); water depth (real); number of days per trip; number of days per catch; FAD use; FAD visited; FAD succeeded; fishing time; soaking (hour); comment; resources; total catch for consume in volume (Kg); total catch for consume in units (Ind); total catch in volume (Kg); total catch in units (Ind); local name; common name; species name; FAO; haul (Kg); units (Ind); storage method (fresh); storage method (frozen); storage method (salted); storage method (loin); storage method (boiled). The operational data can be used to estimate catch per unit effort (CPUE) of the fisheries and socioeconomics of the fisheries including associated cost.

  • API

    California Protected Area Database (HESS)

    data.bayareametro.gov | Last Updated 2023-06-09T00:41:33.000Z

    California Protected Area Database (CPAD) for development of the Parcel Inventory dataset for the Housing Element Site Selection (HESS) Pre-Screening Tool. This feature set contains a subset of the statewide source. Its geographic extent covers the San Francisco Bay Region. CPAD inventories open space lands that have been protected for open space uses through fee ownerships. CPAD is not a database of all public lands – for example, it does not include public buildings, water treatment sites, or other non-open space public land. CPAD is suitable for a wide range of planning, assessment, analysis, and display purposes. CPAD should not be used as the basis for official regulatory, legal, or other such governmental actions without more detailed review of current official land records in the area of focus. This feature set contains the CPAD Super Unit features of the database. Super Units are aggregations of Units (which themselves are aggregations of Holdings) to create use-focused polygons for each site name (e.g. Las Trampas Regional Wilderness). Super Units are useful for recreation applications and for cartographic representation. Note: ● Super Units aggregate units based on the managing agency. ● Super Units maintain distinct units for different types of public access. ● Super Units cross county boundaries. ● Super Units have fewer attributes and are primarily used for cartography/display purposes, and to support recreational access applications. The lands in CPAD are defined by their owning and managing agencies at the Holdings and Units levels. At the Super Units level (a version of the release meant primarily for recreation applications, and for general cartography), CPAD lands are defined simply by name, managing agency, and public access. Access to CPAD GIS data is primarily through the State of California’s Atlas open data portal – a download link and more information about CPAD, including a PDF manual about the data, is at https://www.calands.org/cpad/. CPAD is released in shapefile format. The state site also hosts map services with CPAD data displayed by Access Type, Agency Classification, and Agency Level.

  • API

    RSBS SMO: Part 2 of 2, New York State Residential Statewide Baseline Study: Single and Multifamily Occupant Telephone or Web Survey

    data.ny.gov | Last Updated 2019-11-15T21:50:04.000Z

    How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov. This is part 2 (contains: Clothes Washing and Drying; Water Heating; Home Lighting; Pool and Spa; Small Household Appliances; and Miscellaneous Equipment) of 2; part 1 (https://data.ny.gov/d/3m6x-h3qa) contains: Behavior and Demographics; Building Shell; Kitchen Appliances; and Heating and Cooling. The New York State Energy Research and Development Authority (NYSERDA), in collaboration with the New York State Department of Public Service (DPS), conducted a statewide residential baseline study (study) from 2011 to 2014 of the single-family and multifamily residential housing segments, including new construction, and a broad range of energy uses and efficiency measures. This dataset includes 2,982 single-family and 379 multifamily occupant survey completes for a total of 3,361 responses. The survey involved 2,285 Web, 1,041 telephone, and 35 mini-inspection surveys. The survey collected information on the following building characteristics: building shell, kitchen appliances, heating and cooling equipment, water heating equipment, clothes washing and drying equipment, lighting, pool and spa equipment, small household appliances, miscellaneous energy consuming equipment, as well as behaviors and characteristics of respondents.

  • API

    Land Use_data

    opendata.utah.gov | Last Updated 2024-04-10T19:40:16.000Z

    This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the Northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the Southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe’s Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe’s Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS.

  • API

    USAID Construction Assessment, Subawards: Section 1

    datahub.usaid.gov | Last Updated 2024-06-25T02:27:50.000Z

    This dataset contains data on subwards identified in the survey of USAID construction carried out between June 1, 2011 to June 20 to learn about the character, scope, value and management of USAID supported construction activities. In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. The USAID construction assessment is a survey of the character, scope, value and management of construction activities supported by USAID during the period from June 1, 2011 to June 20, 2013.