- What is the Water Area?
- What is the Population Count?
- What is the Population Density?
- What is the Percent who did not finish the 9th grade?
- What is the Median Earnings?
- What is the Number of Employees?
- What is the Crime incident count?
- What is the Population Rate of Change?
- What is the High School Graduation Rate?
- What is the Median Female Earnings?
The land area of Springfield, IL was 59 in 2018.
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.
Geographic and Area Datasets Involving Springfield, IL
- API 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 data.cityofchicago.org | Last Updated 2022-07-03T17:00:28.000Z
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 gnb.socrata.com | Last Updated 2022-07-01T03:03:31.000Z
This dataset is comprised of five map layers: Watercourse and Wetland Buffers - Buffer zones surrounding mapped watercourses and wetlands where forest activity is regulated on Crown land to maintain water quality and aquatic habitat. Deer Wintering Areas - Forested areas managed to provide severe winter habitat for herds of white tail deer on Crown lands. Other Habitats - Designated forested stands meeting D.N.R.’s structural and spatial criteria for “Old Forest Communities” and “Old Forest Wildlife Habitats”. Formerly Designated Deer Wintering Areas - Formerly designated Deer Wintering Areas which aerial surveys have not detected animal use in for significant time. One component of the changes to the designated “Conservation Forest” announced with the forest strategy in March, 2014. Formerly Designated Habitats - Formerly designated forested stands which met D.N.R.’s structural and spatial criteria for “Old Forest Communities” and “Old Forest Wildlife Habitats”. One component of the changes to the designated “Conservation Forest” announced with the forest strategy in March, 2014. Additional Information: Please be aware of the following: Watercourse and Wetland Buffers - Not all watercourses defined in N.B.’s legislative framework are mapped due to difficulty in delineating watercourses from colour aerial photography. Watercourse locations are generally accurate to within 10 m. Deer Wintering Areas - Deer wintering areas are identified on the basis of periodic aerial surveys and may not completely identify all forested stands being used by deer. / Cet ensemble de données comprend les cinq couches cartographiques suivantes : Zones tampons des cours d’eau et des terres humides : Zones tampons entourant les terres humides et les cours d’eau cartographiés où sont réglementées les activités forestières sur les terres de la Couronne pour préserver la qualité de l’eau et l’habitat aquatique. Aires d’hivernage du cerf de Virginie : Zones forestières aménagées sur les terres de la Couronne pour fournir aux troupeaux de cerfs de Virginie des habitats les protégeant des hivers rigoureux. Autres habitats : Peuplements forestiers désignés qui répondent aux critères structuraux et spatiaux du DER concernant les « communautés de forêt ancienne » et les « habitats fauniques de forêt ancienne ». Anciennes aires d’hivernage du cerf de Virginie : Anciennes aires d’hivernage du cerf de Virginie pour lesquelles les relevés aériens n’ont pas décelé d’utilisation animale pendant une longue période de temps. Il s’agit d’une des modifications à la forêt de conservation qui ont été annoncées au titre de la stratégie de gestion des forêts, en mars 2014. Anciens habitats : Anciens peuplements forestiers qui répondaient aux critères structuraux et spatiaux du DER concernant les « communautés de forêt ancienne » et les « habitats fauniques de forêt ancienne ». Il s’agit d’une des modifications à la forêt de conservation qui ont été annoncées au titre de la stratégie de gestion des forêts, en mars 2014. Renseignements supplémentaires : Veuillez noter les points ci-dessous. Zones tampons des cours d’eau et des terres humides : Tous les cours d’eau définis dans le cadre législatif du Nouveau-Brunswick ne sont pas cartographiés, compte tenu de la difficulté à les délimiter à partir des photographies aériennes en couleurs. En général, l’emplacement des cours d’eau est précis à plus ou moins 10 m. Aires d’hivernage du cerf de Virginie : Les aires d’hivernage du cerf de Virginie sont définies en fonction de relevés aériens périodiques et il se peut que ces derniers n’aient pas pu déceler totalement tous les peuplements forestiers utilisés par les cerfs.
- API data.cityofchicago.org | Last Updated 2022-06-29T12:22:13.000Z
Inspections conducted by the Department of Environment (DOE) from April, 1997 to December 31, 2011 and by the Department of Public Health (CDPH) since January 1, 2012. On January 1, 2012, the Department of Environment was disbanded and all its inspection, permitting, and enforcement authorities were transferred to the CDPH. Data fields requiring description are detailed below. INSPECTION ID: This is the unique identifier of the inspection. DOE inspection records are prefixed with “DOEINS.” CDPH inspections are numeric. INSPECTION NAME: This is the name of the site that was inspected. This is usually the company/owner name, address, or building name. MAPPED LOCATION: Contains the latitude/longitude coordinates of the facility. The latitude/longitude coordinate is determined through the Chicago Open Data Portal’s geocoding process. INSPECTOR: Contains the name of the inspector or engineer who conducted the inspection. INSPECTION CATEGORY: Describes the type of inspection performed. Generally, inspection types can be organized into the following categories: “COMPLAINT RESPONSE” Inspections conducted in response to citizen complaints. See CDPH Environmental Complaints dataset for type of environmental complaints. “SOLID WASTE INSPECTIONS” Inspections of permitted waste facilities and inspections conducted as part of a delegation agreement with the Illinois Environmental Protection Agency. These inspections include inspections of solid and liquid waste handling facilities, recycling facilities, junkyards, compost facilities, temporary and permanent rock crushing facilities and illegal dump sites. “AIR QUALITY INSPECTION”: Inspections of all permitted industrial facilities with potential to emit pollutants into the air, including area sources such as dry cleaners, motor vehicle repair facilities and architectural surface cleaning. “HAZMATS” Inspections conducted in response to a hazardous material incident and typically conducted with the Fire Department’s HAZMAT units. Also includes inspection audits of facilities subject to Tier II reporting under the Emergency Planning and Community Right-to-Know Act (EPCRA) . “NOISE” Inspections conducted in response to noise-related complaints. “TANK INSPECTIONS” Underground Storage Tank (UST) inspections conducted in conjunction with a UST permit and as part of a delegation agreement with the Illinois Office of the State of Fire Marshall (OSFM).These inspections include including UST Removal, UST Abandon, UST Install, UST Upgrade, UST Reline, UST Repair, Stage II and UST Green Decal. This Inspection Type also includes non-OSFM inspections for Aboveground Storage Tank (AST) permits, Abandoned Gas Stations, Leaking Underground Storage Tanks (LUST), UST Emergency Response, historic Filling Station Licenses, and miscellaneous tank inspections. “DEMOLITION/ASBESTOS” Inspections associated with Demolition or NESHAP Notice of Intents (NOIs). See Chapter 11-4 Article XVIII (see http://tinyurl.com/crvyb29). “MISC INSPECTIONS” Other inspections including but not limited Water Pollution, Site Assessment, historic Bus Facility and historic Invasive Species inspections per Chapter 11-4 Article XXII (see http://tinyurl.com/crvyb29) of the Municipal Code. INSPECTION SUB CATEGORY: More specific inspection type under an Inspection Category. INSPECTION DATE: Date when inspection occurred. NARRATIVE: Contains the inspector’s narrative log of the inspection. DATA SOURCE: The city department that collected the data.
- API datacatalog.cookcountyil.gov | Last Updated 2022-06-02T17:01:49.000Z
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></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>