The water area of Rolling Meadows, IL 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 - 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 Rolling Meadows, IL

  • API

    CPS Schools 2013-2014 Academic Year

    data.cityofchicago.org | Last Updated 2013-11-26T20:27:57.000Z

    List of CPS schools for the 2013-2014 academic year. This dataset includes various identifiers used to identify school districts, including names; local, state, and federal IDs; and geographic descriptions on the location of each school.

  • API

    Assessment Parcels

    data.winnipeg.ca | Last Updated 2024-09-20T19:13:57.000Z

    List of all Assessment Parcels from the Assessment and Taxation Department. For more information please visit http://www.winnipegassessment.com/

  • API

    Violence Reduction - Shotspotter Alerts

    data.cityofchicago.org | Last Updated 2024-09-21T12:37:30.000Z

    This dataset contains all ShotSpotter alerts since the introduction of ShotSpotter to some Chicago Police Department (CPD) districts in 2017. ShotSpotter is a gunshot detection system designed to automatically determine the location of potential outdoor gunfire. ShotSpotter audio sensors are placed in several CPD districts throughout the city (specific districts are noted below). If at least three sensors detect a sound that the ShotSpotter software determines to be potential gunfire, a location is determined and the alert is sent to human ShotSpotter analysts for review. Either the alert is sent to CPD, or it is dismissed. Each alert can contain multiple rounds of gunfire; sometimes there are multiple alerts for what may be determined to be one incident. More detail on the technology and its accuracy can be found on the company’s website <a href="https://www.shotspotter.com">here</a>. It should also be noted that ShotSpotter alerts may increase year-over-year while gun violence did not necessarily increase accordingly because of improvements in detection sensors. ShotSpotter does not exist in every CPD district, and it was not rolled out in every district at the same time. ShotSpotter was first deployed in Chicago in 2017, and sensors exist in the following districts as of the May 2021 launch of this dataset: 002, 003, 004, 005, 006, 007, 008, 009, 010, 011, 015, and 025.

  • API

    Beach Lab Data

    data.cityofchicago.org | Last Updated 2024-09-04T19:00:17.000Z

    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

    Maryland Real Property Assessments_Hidden Property Owner Names

    opendata.maryland.gov | Last Updated 2024-09-04T19:07:46.000Z

    Please read all metadata before accessing the dataset. Note that records shown here are updated at different frequencies from data in products from MDP and SDAT. <a href="https://opendata.maryland.gov/api/views/ed4q-f8tm/files/5064508a-f244-4741-a548-b5ec5c5f3019?download=true&filename=Real_Property_Records_Documentation.pdf">Please read the full documentation</a>. For more on Real Property Data, review the dedicated data story: https://opendata.maryland.gov/stories/s/Maryland-Real-Property-Resources/x8p6-5dqp/

  • API

    Energy Use at County Facilities - Updated

    internal.open.piercecountywa.gov | Last Updated 2020-12-09T06:54:46.000Z

    Energy data represents all electricity used at Pierce County Facilities, excluding the wastewater treatment plants and distributed pump houses. Water use data represents water used at Pierce County Facilities with an associated bill. Water data collection has proven to be more inconsistent. Steps are being taken to improve the granularity and accuracy of our water data collection. All data is collected from utility bills and is entered into software where it is normalized by month and by fluctuations in the weather.

  • API

    COVID-19 Variant Prevalence in Waste Water

    data.ramseycounty.us | Last Updated 2023-09-26T17:20:24.000Z

    SARS-CoV-2 prevalence in wastewater influent is determined from multiple samples of wastewater each day. Units are in millions of copies of N1 and N2 genes, per person in the sewage treatment area, per day. Viral load data are from Metropolitan Council and the University of Minnesota Genomics Center. Variant presence and frequency are inferred from the N501Y mutation (Alpha, Beta and Gamma); the L452R mutation (Delta); and the K417N mutation (Omicron). K417N mutations present before November 18, 2020 are assumed to be Beta variants, and are marked as Other in the variant column.

  • API

    COVID-19 Prevalence in Waste Water

    data.ramseycounty.us | Last Updated 2023-09-26T17:19:08.000Z

    SARS-CoV-2 prevalence in wastewater influent is determined from multiple samples of wastewater each day. Units are in millions of copies of N1 and N2 genes, per person in the sewage treatment area, per day. Viral load data are from Metropolitan Council and the University of Minnesota Genomics Center. Variant presence and frequency are inferred from the N501Y mutation (Alpha, Beta and Gamma); the L452R mutation (Delta); and the K417N mutation (Omicron). K417N mutations present before November 18, 2020 are assumed to be Beta variants, and are marked as Other in the variant column.

  • 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

    Assessor - Parcel Proximity

    datacatalog.cookcountyil.gov | Last Updated 2024-09-01T15:33:31.000Z

    Cook County 10-digit parcels with attached distances to various spatial features. When working with 10-digit Parcel Index Numbers (PINs) make sure to zero-pad them to 10 digits. Some datasets may lose leading zeros for PINs when downloaded. 10-digit PINs do not identify individual condominium units. Additional notes:<ul><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>Attached spatial data does NOT all go back to 2000. It is only available for more recent years, primarily those after 2012.</li> <li>This dataset contains data for the current tax year, which may not yet be complete or final. Assessed values for any given year are subject to change until <a href="https://www.cookcountyassessor.com/assessment-calendar-and-deadlines">review and certification of values by the Cook County Board of Review</a>, though there are a few rare circumstances where values may change for the current or past years after that.</li> <li>Rowcount for a given year is final once the Assessor <a href="https://www.cookcountyassessor.com/assessment-calendar-and-deadlines">has certified the assessment roll</a> all townships.</li> <li>Data will be updated annually as new parcel shapefiles are made available.</li></ul>For more information on the sourcing of attached data and the preparation of this dataset, see the <a href="https://github.com/ccao-data/wiki/blob/master/SOPs/Open-Data.md">Assessor's Standard Operating Procedures for Open Data</a> on GitHub. <a href="https://datacatalog.cookcountyil.gov/stories/s/9bqn-cfsv">Read about the Assessor's 2023 Open Data Refresh.</a>