The land area of Carrier Mills, IL was 1 in 2010.
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 Carrier Mills, IL
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CPS Schools 2013-2014 Academic Year
data.cityofchicago.org | Last Updated 2013-11-26T20:27:57.000ZList 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.
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Beach Lab Data
data.cityofchicago.org | Last Updated 2024-09-04T19:00:17.000ZThe 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)
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GDP by Metropolitan Statistical Area
data.colorado.gov | Last Updated 2024-10-23T11:04:41.000ZGross Domestic Production (GDP) in millions of 2009 Dollars by industry per Metropolitan Statistical Area (MSA), from 2001 to 2017 in Colorado, as provided by the Bureau of Economic Analysis (BEA).
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Safe Drinking Water Facilities Information System for Pennsylvania 2018 - Current Environmental Protection
data.pa.gov | Last Updated 2022-10-24T13:20:24.000ZSafe Drinking Water Information System (SDWIS) is EPA’s national database that manages and collects public water system information from states, including reports of drinking water standard violations, reporting and monitoring violations, and other basic information. The data derived in the State of Pennsylvania is published and searchable online on the www.pa.gov website. This set contains the Water System Facility data, which will be updated annually for the prior calendar year in the first Quarter of the following year.
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Aquatic Biological Monitoring Sampling Locations: Beginning 1980
data.ny.gov | Last Updated 2024-05-02T15:02:49.000ZThe 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.
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Annual Gross Domestic Product Maryland
opendata.maryland.gov | Last Updated 2019-01-04T18:12:13.000ZThis dataset contains Annual GDP using chained dollars from previous period by sector from 1997 to present (most recent as reported by U.S. Bureau of Economic Analysis) for Maryland and United States.
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SPDES Multi-Sector General Permit (MSGP) Facilities
data.ny.gov | Last Updated 2024-08-12T19:36:08.000ZThe SPDES Multi-Sector General Permit (MSGP), which is administered by the Department of Environmental Conservation (the Department), regulates stormwater discharges associated with industrial activity from a point source. The MSGP covers thirty one different industrial sectors which include activities such as mining, land transportation, and scrap recycling. The dataset displays information on facilities that have active MSGP coverage in New York State. Information included in the data set include the facility’s name, address, contact information, industrial sector(s), discharging waterbody, and location of the facility’s Stormwater Pollution Prevention Plan. For more information, please go to http://www.dec.ny.gov/chemical/62803.html.
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Assessor [Archived 05-31-2023] - Parcel Universe
datacatalog.cookcountyil.gov | Last Updated 2023-05-31T21:51:45.000ZA 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>
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(To be retired) Cleanup Sites With Media and Contaminants
data.wa.gov | Last Updated 2024-09-30T18:47:33.000ZList of cleanup sites with contaminant and cleanup unit media for use in DOH Washington Tracking Network application.
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Patents by Connecticut Inventors 1800-1890
internal-ct.data.socrata.com | Last Updated 2024-08-16T15:27:38.000ZConnecticut Patents 1800-1890 This list was compiled by Museum of Connecticut History staff in the 1990s, and lists all patents by Connecticut inventors between the years of 1800-1890. This period spans a time of incredible industrial growth and inventiveness in Connecticut, and the Yankee ingenuity on display in these patents helped make the state one of the premier industrial centers of the nation and the world. Many of the pre-1836 patents listed here are only known because of annual lists of patents or patent digests that were published by the Patent Office. The actual records were destroyed in a fire in 1836, and many were never reconstructed. All of the pre-1836 patents are known as the “X-Patents,” and those that have been recovered were given patent numbers beginning with the letter X. Patents up to this time had not actually had numbers of any kind, they were simply known by date and title. About five months before the fire, the Patent Office began numbering their patents; this system, now up to seven digits, is still in use today. Patents found in this dataset can be found using the <a href=”https://www.uspto.gov/patents/search/patent-public-search”>Patent Public Search tool</A> on the U.S. Patent Office’s website. The easiest way to locate a patent is to enter the seven-digit serial number into the basic search. The Connecticut Patents 1800-1890 dataset contains names of inventors, assignees if relevant (inventors could “assign” ownership of patents to another person or entity), descriptions of the invention, patent numbers (if available), and date of issue. It also contains a two-digit class code that corresponds to a general subject area. The subjects are: 01 Firearms, guns, cannons, etc. 02 Metallurgy, metalworking, etc. 03 Woodworking, sawmills, etc. 04 Weaving, sewing, looms, etc. 05 Steam boilers, engines 06 Railroads 07 Ships, boats, canals 08 Clothing 09 Agriculture 10 Hardware, tools, etc. 11 Tanning 12 Rubber 13 Musical instruments 14 Medical 15 Foods and cooking 16 Business and labor 17 Clocks 18 Fireplaces, stoves, furnaces, etc. 19 Lanterns, lamps, and lighting 20 Furniture 21 Household items 22 Doors, windows, drawers, trunks, etc. 23 Grinding mills 24 Stonemasonry, mining, etc. 25 Vehicles, non-motorized 26 Chemical processes? Explosives, distilling, paintmaking, etc. 27 Plumbing, pipes, hoses, etc. and water-powered devices 28 Printing, bookmaking, and paper 29 Engines, coolers, elevators, pneumatics, etc. 30 Ivory 31 Military equipment (non-weapons) 32 Sewing machines 33 Toys, games, and leisure (includes bicycles) 34 Equipment for horses 35 Photography 36 Glassware 37 [doesn't exist] 38 Electricity and electronics 39 Telephones 40 Fire safety 41 Construction 42 School equipment 43 Art