The land area of Pine Prairie, LA was 2 in 2016.

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.

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Geographic and Area Datasets Involving Pine Prairie, LA

  • API

    Traffic Camera

    data.brla.gov | Last Updated 2022-10-19T14:10:55.000Z

    Point geometry with attributes displaying Louisiana Department of Transportation and Development traffic cameras in the Greater Baton Rouge, Louisiana area.

  • API

    Wastewater Treatment Plants Effluent Water Quality

    data.calgary.ca | Last Updated 2024-10-07T17:34:01.000Z

    This 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

    OLAS Population-based Water Stress and Risk Dataset for Latin America and the Caribbean

    mydata.iadb.org | Last Updated 2023-06-15T08:22:16.000Z

    LAC is the most water-rich region in the world by most metrics; however, water resource distribution throughout the region does not correspond demand. To understand water risk throughout the region, this dataset provides population and land area estimates for factors related to water risk, allowing users to explore vulnerability throughout the region to multiple dimensions of water risk. This dataset contains estimates of populations living in areas of water stress and risk in 27 countries in Latin America and the Caribbean (LAC) at the municipal level. The dataset contains categories of 18 factors related to water risk and 39 indices of water risk and population estimates within each with aggregations possible at the basin, state, country, and regional level. The population data used to generate this dataset were obtained from the WorldPop project 2020 UN-adjusted population projections, while estimates of water stress and risk come from WRI’s Aqueduct 3.0 Water Risk Framework. Municipal administrative boundaries are from the Database of Global Administrative Areas (GADM). For more information on the methodology users are invited to read IADB Technical Note IDB-TN-2411: “Scarcity in the Land of Plenty”, and WRIs “Aqueduct 3.0: Updated Decision-relevant Global Water Risk Indicators”. | https://www.wri.org/data/aqueduct-global-maps-30-data | | https://www.worldpop.org/ | | https://gadm.org/ |

  • API

    Green Infrastructure Water Capture Capacity

    data.lacity.org | Last Updated 2020-11-30T17:22:16.000Z

    Green infrastructure is designed to capture and infiltrate or filter stormwater runoff through natural systems. This dataset is used in combination with precipitation numbers to update the stormwater dashboard (in progress) and Sustainable City pLAn. It is refreshed as new projects are created.

  • API

    Legislators By City

    data.orcities.org | Last Updated 2019-04-23T03:41:58.000Z

    Oregon Representatives and Senators by City for the 2015-2017 Legislative Session

  • API

    Existing Buildings Energy & Water Efficiency (EBEWE) Program

    data.lacity.org | Last Updated 2024-10-20T08:01:06.000Z

    The City's Existing Buildings Energy & Water Efficiency (EBEWE) Program was established in 2016 (LA Municipal Code Section 91.9701, Ordinance No. 184674) and is administered by the Department of Building and Safety(LADBS). It requires that owners of buildings subject to the Ordinance, to annually register their building (includes pay fees) and file a benchmark report of energy and water usage for their buildings for the Compliance Year. The EBEWE dataset includes the Compliance Year, Building Address, Compliance Status, various energy and water use benchmark data, and the last 3 digits of the Assessor Identification Number (AIN). For a complete explanation of the Program, including reporting requirements, please visit LADBS' EBEWE site at http://www.ladbs.org/services/green-building-sustainability/existing-buildings-energy-water-efficiency-program.

  • API

    Water Quality (LA)

    usc.data.socrata.com | Last Updated 2018-08-14T19:07:54.000Z

    </p> <p><a href="https://usc.data.socrata.com/stories/s/s54u-bkbd/" target="_blank"><b>Learn More</b></a></p>

  • API

    Channel Migration Zone Floodway

    open.piercecountywa.gov | Last Updated 2024-07-05T16:26:49.000Z

    As part of a Channel Migration Zone Study, GeoEngineers, Inc. was contracted by Pierce County, Public Works Surface Water Management formerly “Water Programs” Division to create a series of shapefiles including the SPC_Migration_Potential_Areas.shp. Pierce_Migration_Potential_Areas.shp combines the include severe, moderate or low migration potential areas. GeoEngineers, Inc. completed migration potential studies of the White, Puyallup and Carbon Rivers (completed 2003 adopted 2005), South Prairie Creek (completed 2005 adopted 2017) and Upper Nisqually River (completed 2007 adopted 2017). These were accepted by SWM and Adopted by County Council.The MPA delineation involved identifying severe, moderate and low migration potential areas within the delineated CMZ. The MPA delineation approach is similar to that employed in our CMZ analysis; that future rates and character of migration will be similar to those of the past for similar water discharges, sediment influx, and debris entrainment conditions. This analysis was also based on the absence of levees, revetments and other confining structures. The width of each MPA was measured, based on delineation criteria developed specifically for this project, and then adjusted to accommodate geomorphic conditions not accounted for in the maximum migration rates. Criteria developed for mapping severe, moderate and low MPA are provided in the following paragraphs: Severe MPA includes the area lying inside the HCOT, and an area immediately outside the HCOT boundary equivalent to a distance the channel could travel in a specified period. The extent of the Severe Migration Potential Area outside the HCOT boundary is determined by two criteria. The first criterion is the distance the outside channel edge could travel in 10 years of steady lateral migration away from the HCOT boundary (Maximum lateral migration rates multiplied by a ten- year period). The second is defined by the distance the outside channel edge could travel in storm single event (i.e. maximum overnight rate) from the current channel position (2002). The landward most boundary of the two criteria defines the Severe Migration Potential Area.Moderate MPA includes areas adjacent to the outside edge of the severe migration potential area. The width of the moderate migration potential area is determined by the distance the outside channel edge could travel in five years (for South Prairie Creek 10 years) of steady lateral migration beyond the outside edge of the severe migration potential area. The CMZ boundary will serve as the outside edge of the moderate migration potential boundary at sites where the distance between the severe migration potential boundary and the CMZ boundary represents less the five years (for South Prairie Creek 10 years)of steady lateral migration. Moderate migration potential areas are not included at sites where the outside edge of the severe migration potential area is determined by the location of the CMZ boundary. The rate of migration used in the calculation is the maximum average rate of migration for each geomorphic reach (measured as described above). In some places the width of the Moderate Migration Potential Area may be modified based on geologic interpretation, professional judgment. Low MPA includes areas adjacent to the outside edge of the moderate migration potential area. The extent of the Low Migration Potential Area beyond the moderate migration potential boundary will be determined by CMZ boundary, as determined by our CMZ evaluation. Low migration potential areas will not be included at sites where the outside edge of either a severe or moderate migration potential area is determined by the location of the CMZ boundary. The most common adjustments typically involved widening the moderate MPA to include ancient abandoned channel deemed capable of arresting main stem flow in an avulsion event. Other common Moderate MPA adjustments involved increasing or decreasing the ba

  • API

    Deep and/or Fast Flowing Floodway

    internal.open.piercecountywa.gov | Last Updated 2024-07-05T17:00:54.000Z

    Northwest 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

    City Infrastructure Needs

    data.orcities.org | Last Updated 2016-08-08T23:16:13.000Z

    Information provided by respondent cities through the 2016 LOC Infrastructure Survey. Data is and aggregation of capital projects needs for the next 20 years.