The land area of Grand Rapids, MI was 44 in 2013.

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 Grand Rapids, MI

  • API

    Beach Lab Data

    data.cityofchicago.org | Last Updated 2024-03-06T20:00:21.000Z

    The Chicago Park District collects and analyzes water samples from beaches along Chicago’s Lake Michigan lakefront. The Chicago Park District partners with the University of Illinois at Chicago Department of Public Health Laboratory to analyze water samples using a new DNA testing method called Rapid Testing Method (qPCR analysis) which tests for Enterococci in order to monitor swimming safety. The rapid testing method (qPCR analysis) is a new method that measures levels of pathogenic DNA in beach water. Unlike the culture based test that requires up to 24 hours of processing, the new rapid testing method requires a 4-5 hours for results. The Chicago Park District can use results of the rapid test to notify the public when levels exceed UPEPA recommended levels, which is 1000* CCE. When DNA bacteria levels exceed 1000 CCE, a yellow swim advisory flag is implemented. For more information please refer to the USEPA Recreational Water Quality Criteria (http://water.epa.gov/scitech/swguidance/standards/criteria/health/recreation). Historically, the Chicago Park District used the culture based analysis method and statistical prediction models to monitor beach water quality. The culture based method tests for Escherichia coli (E. coli) bacteria which is an indicator species for the presence of disease-causing bacteria, viruses, and protozoans that may pose health risks to the public. This method requires 18-24 hours of processing to receive results. The Chicago Park District would use results of the culture based method to notify the public when levels exceed UPEPA recommended levels, which is 235* CFU. When bacteria levels exceed 235 CFU, a yellow swim advisory flag was implemented. This standard is still used at most beaches throughout the Great Lakes region. For more information please refer to the USEPA Recreational Water Quality Criteria. The statistical prediction model forecasted real-time Escherichia coli (E. coli) bacteria levels present in the water. The Chicago Park District (CPD) in partnership with the US Geological Survey, developed statistical prediction models by using weather data pulled from CPD buoys (https://data.cityofchicago.org/d/qmqz-2xku) and weather stations (https://data.cityofchicago.org/d/k7hf-8y75). The Chicago Park District would use results of the predictive model to notify the public when bacteria levels would exceed 235 CFU. When bacteria levels exceed 235 CFU, a yellow swim advisory flag was implemented. * The unit of measurement for Escherichia coli is Colony Forming Units (CFU) per 100 milliliters of water. (Culture Based Method / Statistical Prediction Model) *The unit of measuring DNA is Enterococci Calibrator Cell Equivalents (CCE) per 100 milliliters of water. (Rapid Testing Analysis)

  • API

    Beach E. coli Predictions

    data.cityofchicago.org | Last Updated 2023-09-05T04:55:04.000Z

    The Chicago Park District issues swim advisories at beaches along Chicago's Lake Michigan lakefront based on E. coli levels. This dataset shows predicted E. coli levels based on an experimental analytical modeling approach.

  • API

    MDOT Plant Manual for Slope Planting

    data.michigan.gov | Last Updated 2024-05-20T18:16:00.000Z

    This plant manual identifies plants and planting practices ideal for slope stabilization along urban highways. Appropriate plant selections are adapted to environmental stresses and harsh site conditions along depressed highway slopes found in urban areas. The plant selections also meet additional design criteria (e.g., low growing to allow clear vision, aesthetic appeal).  This research was conducted by Michigan State University Department of Horticulture and Dr. Cregg. This research was funded and managed by the Michigan Department of Transportation, Nanette Alton and Yige Qu - Project Managers. This dataset is intended to be updated annually, as needed by roadside development staff. By using this dataset, you are accepting the terms of use attached. Dataset Owner Contact: MDOT-PlantManual@michigan.gov

  • API

    Condition of Non-Tidal Wetlands

    data.delaware.gov | Last Updated 2022-10-06T19:20:47.000Z

    Includes all data collected to date about non-tidal wetland condition in Delaware. Data is collected in the field using the Delaware Rapid Assessment Procedure (DERAP).

  • API

    Kenya RAPID Performance Evaluation, 2020 Dataset

    data.usaid.gov | Last Updated 2023-02-03T17:14:14.000Z

    The Evaluation Team conducted interviews, by phone or other remote media, with approximately 70 key informants from USAID/KEA, SDC, Government of Kenya (national level), Kenya RAPID staff, Kenya RAPID implementing partner staff, county government officials (for WASH, pastoralist support, rangeland management, health, livestock, and nutrition, among other areas), private sector partners, and utility staff. To analyze the qualitative information, the Evaluation Team developed a simple coding tree and set of three to five key codes for each of the evaluation questions, as well as a special code to highlight key quotations from the qualitative data. Excerpts from interviews were grouped by codes based on the evaluation questions and topics (e.g., water, sanitation, nutrition, etc.). Coded excerpts were then allocated to team members by area of expertise for analysis and to identify patterns of responses by partner group, county and level of seniority. The dataset consists of the results from coding the interviews.

  • API

    OLAS/SCL WASH Household Survey Dataset

    mydata.iadb.org | Last Updated 2024-03-19T20:08:38.000Z

    The OLAS/SCL Household Survey Data Set contains 47 water and sanitation related indicators generated from microdata from national household surveys throughout the region. The data set contains information from 2003-2022 for 22 countries throughout Latin America and the Caribbean. Indicators are provided in terms of household percentage and total households that fall into each category, and can be broken down by various socioeconomic dimensions, including area (urban or rural community), income quintile, migratory status, ethnicity, and disability status. This dataset is the result of a collaboration between INE/WSA and SCL, and is a subset of the larger IDB SCL Indicators dataset.

  • API

    Aquatic Biological Monitoring Sampling Locations: Beginning 1980

    data.ny.gov | Last Updated 2024-05-02T15:02:49.000Z

    The Division of Water Stream Biomonitoring Unit (SBU) dataset contains the point sampling locations at which benthic macroinvertebrates, field chemistry, and at some locations, sediment, fish or diatoms have been collected as part of the Rotating Integrated Basin Studies (RIBS) program, Rapid Biological Assessments (RAS), or special studies. The data collected are used for water quality assessment (input to the Waterbody Inventory, completion of the 305(b) report and 303(d) list of impaired Waters) and for track-down of water quality problems. The data set is maintained by the Division of Water, Bureau of Water Assessment and Management, Stream Biomonitoring Unit.

  • API

    Designated Wetlands in Iowa

    mydata.iowa.gov | Last Updated 2023-12-05T16:24:54.000Z

    This dataset highlights wetlands designated for protection in the State of Iowa. Designated wetland is defined in Iowa Code subsection 459.102(21) as follows: 21. "Designated wetland" means land designated as a protected wetland by the United States Department of the Interior or the Department of Natural Resources, including but not limited to a protected wetland as defined in section 456B.1, if the land is owned and managed by the federal government or the Department of Natural Resources. However, a designated wetland does not include land where an agricultural drainage well has been plugged causing a temporary wetland or land within a drainage district or levee district. As referenced in the foregoing definition, protected wetland is defined in Iowa Code subsection 456B.1(4) as follows: 4. "Protected wetlands" means type 3, type 4, and type 5 wetlands as described in circular 39, Wetlands of the United States, 1971 Edition, published by the United States Department of the Interior. However, a protected wetland does not include land where an agricultural drainage well has been plugged causing a temporary wetland or land within a drainage district or levee district. Iowa Code paragraph 459.310(1)(b) provides: b. A confinement feeding operation structure shall not be constructed if the confinement feeding operation structure as constructed is closer than any of the following: Five hundred (500) feet away from a water source other than a major water source. (2) One thousand (1,000) feet away from a major water source. (3) Two thousand five hundred (2,500) feet away from a designated wetland. Separation distances apply to all confinement feeding operations regardless of size and whether a permit is needed. Open feedlots are separate and do not have any separation distances. If there is already a confinement within 2,500 feet of an existing wetland, it will not prevent the designation from occurring. For separation distances to other items (neighbors, towns, parks, etc.) - the confinement is grand fathered in since it was there before the separation distance was expanded. It will work similarly in this case - a confinement could be there and be exempt from the 2,500 foot separation distance since it was there before the separation distance was imposed. But no new confinements would be allowed in the 2,500 feet once the designation takes place. A designated wetland will not be "established" if closer than 2,500 feet of an existing confinement. Any wetlands created or restored on state or federal lands within 2,500 feet of an existing confinement will not be eligible for designation. These separation distances do not apply If the Confinement Animal Feeding Operation Structure includes construction of a secondary containment barrier

  • API

    Assessor [Archived 05-31-2023] - Parcel Universe

    datacatalog.cookcountyil.gov | Last Updated 2023-05-31T21:51:45.000Z

    A complete, historic universe of Cook County parcels with attached geographic, governmental, and spatial data. When working with Parcel Index Numbers (PINs) make sure to zero-pad them to 14 digits. Some datasets may lose leading zeros for PINs when downloaded. Additional notes:<ul><li>Data is attached via spatial join (st_contains) to each parcel's centroid.</li> <li>Centroids are based on <a href="https://datacatalog.cookcountyil.gov/Property-Taxation/ccgisdata-Parcel-2021/77tz-riq7">Cook County parcel shapefiles</a>.</li> <li>Older properties may be missing coordinates and thus also missing attached spatial data (usually they are missing a parcel boundary in the shapefile).</li> <li>Newer properties may be missing a mailing or property address, as they need to be assigned one by the postal service.</li> <li>Attached spatial data does NOT go all the way back to 1999. It is only available for more recent years, primarily those after 2012.</li> <li>The universe contains data for the current tax year, which may not be complete or final. PINs can still be added and removed to the universe up until the Board of Review closes appeals.</li> <li>Data will be updated monthly.</li> <li>Rowcount and characteristics for a given year are final once the Assessor <a href="https://www.cookcountyassessor.com/assessment-calendar-and-deadlines">has certified the assessment roll</a> for all townships.</li> <li>Depending on the time of year, some third-party and internal data will be missing for the most recent year. Assessments mailed this year represent values from last year, so this isn't an issue. By the time the Data Department models values for this year, those data will have populated.</li> <li>Current property class codes, their levels of assessment, and descriptions can be found <a href="https://prodassets.cookcountyassessor.com/s3fs-public/form_documents/classcode.pdf">on the Assessor's website</a>. Note that class codes details can change across time.</li> <li>Due to decrepencies between the systems used by the Assessor and Clerk's offices, <i>tax_district_code</i> is not currently up-to-date in this table.</li></ul> For more information on the sourcing of attached data and the preparation of this dataset, see the <a href="https://gitlab.com/ccao-data-science---modeling/data-architecture">Assessor's data architecture repo</a> on GitLab. <a href="https://datacatalog.cookcountyil.gov/stories/s/i22y-9sd2">Read about the Assessor's 2022 Open Data Refresh.</a>

  • API

    Condition of Tidal Wetlands

    data.delaware.gov | Last Updated 2022-10-06T19:21:38.000Z

    Includes all data collected since 2008 about tidal wetland condition in Delaware. Data is collected in the field using the Mid-Atlantic Tidal Wetland Rapid Assessment Method (MidTRAM).