AndreaBozzo/ceres-open-data-index huggingface dataset:
Boundaries - Special Service Areas

Special Service Areas (SSA) boundaries in Chicago. The Special Service Area program is a mechanism used to fund expanded services and programs through a localized property tax levy within contiguous industrial, commercial and residential areas. The enhanced services and programs are in addition to services and programs currently provided through the city. SSA-funded projects could include, but are not limited to, security services, area marketing and advertising assistance, promotional activities such as parades and festivals, or any variety of small scale capital improvements that could be supported through a modest property tax levy. This dataset is in a format for spatial datasets that is inherently tabular but allows for a map as a derived view. Please click the indicated link below for such a map. To export the data in either tabular or geographic format, please use the Export button on this dataset.
Boundaries - Enterprise Zones (Deprecated October 2021)

OUTDATED. See the current data at https://data.cityofchicago.org/d/64xf-pyvh -- The Illinois Enterprise Zone Program is designed to stimulate economic growth and neighborhood revitalization in economically depressed areas of the state. For more information about this program, go to http://www.commerce.state.il.us/dceo/Bureaus/Business_Development/Tax+Assistance/Enterprise-Zone.htm. This dataset is in a format for spatial datasets that is inherently tabular but allows for a map as a derived view. Please click the indicated link below for such a map. To export the data in either tabular or geographic format, please use the Export button on this dataset.
Bike Routes (Deprecated November 2021)

OUTDATED. See the current data at https://data.cityofchicago.org/d/3w5d-sru8 -- Bike routes in Chicago. This dataset is in a format for spatial datasets that is inherently tabular but allows for a map as a derived view. Please click the indicated link below for such a map. To export the data in either tabular or geographic format, please use the Export button on this dataset.
Bike Routes (Deprecated January 2021)

OUTDATED. See the current data at https://data.cityofchicago.org/d/3w5d-sru8 -- Bike routes in Chicago. This dataset is in a format for spatial datasets that is inherently tabular but allows for a map as a derived view. Please click the indicated link below for such a map. To export the data in either tabular or geographic format, please use the Export button on this dataset.
Bike Routes (Deprecated February 2020)

OUTDATED. See the current data at https://data.cityofchicago.org/d/3w5d-sru8 -- Bike routes in Chicago. This dataset is in a format for spatial datasets that is inherently tabular but allows for a map as a derived view. Please click the indicated link below for such a map. To export the data in either tabular or geographic format, please use the Export button on this dataset.
Bike Routes (Deprecated December 2022)

OUTDATED. See the current data at https://data.cityofchicago.org/d/3w5d-sru8 -- Bike routes in Chicago. This dataset is in a format for spatial datasets that is inherently tabular but allows for a map as a derived view. Please click the indicated link below for such a map. To export the data in either tabular or geographic format, please use the Export button on this dataset.
Bike Racks

Bike racks in Chicago. This dataset contains bike racks installed between 2015-2026. There is another dataset from 2011 at https://data.cityofchicago.org/d/cbyb-69xx that shows bike racks in existence at that time. We hope eventually to consolidate the data into this dataset. This dataset is in a format for spatial datasets that is inherently tabular but allows for a map as a derived view. Please click the indicated link below for such a map. To export the data in either tabular or geographic format, please use the Export button on this dataset. To attempt to make historical versions of this dataset more available, "[Dataset Changelog]" is enabled at the bottom of the main page. We cannot guarantee that the archival records will remain permanently so advise downloading any you think you may want. Some intermediate versions, especially minor changes, may not be visible. The map based on this dataset will not have past versions.
BIA Cases - By Involved Officer

Complaints received by the Chicago Police Department Bureau of Internal Affairs (BIA). BIA investigates complaints of police misconduct that do not fall under the jurisdiction of the Civilian Office of Police Accountability (COPA). Types of misconduct investigated by BIA include the following (not a complete list): Criminal misconduct Operational violations Theft of money or property Planting of drugs Substance abuse Residency violations Medical roll abuse A case will generate multiple rows, sharing the same LOG_NO if there are multiple officers. Each row in this dataset is an officer in a specific case. To file a complaint with either BIA or COPA, please see https://www.chicagocopa.org/complaints.
Beach Weather Stations - Automated Sensors

The Chicago Park District maintains weather sensors at beaches along Chicago's Lake Michigan lakefront. These sensors generally capture the indicated measurements hourly while the sensors are in operation during the summer. During other seasons and at some other times, information from the sensors may not be available. See https://data.cityofchicago.org/id/qmqz-2xku for a dataset with similar measurements on the lake water, itself. The sensor locations are listed at https://data.cityofchicago.org/d/g3ip-u8rb.
Beach Water Quality - Automated Sensors

The Chicago Park District maintains sensors in the water at beaches along Chicago's Lake Michigan lakefront. These sensors generally capture the indicated measurements hourly while the sensors are in operation during the summer. During other seasons and at some other times, information from the sensors may not be available. See https://data.cityofchicago.org/d/k7hf-8y75 for a dataset with land-based weather measurements at selected beaches. The sensor locations are listed at https://data.cityofchicago.org/d/g3ip-u8rb. Please note that sensor locations change with the Park District’s operational needs, primarily related to water quality. For more information on beach operations, please see https://www.chicagoparkdistrict.com/parks-facilities/beaches.
Beach Swim Advisories

This dataset is historical-only. A similar dataset starting in 2017 can be found at https://data.cityofchicago.org/d/xvsz-3xcj -- The Chicago Park District issues swim advisories at beaches along Chicago's Lake Michigan lakefront based on predicted E. coli levels. This dataset shows the predictions and whether a swim advisory was issued due to the predicted E. coli level being at least 235 Colony Forming Units (CFU) per 100 ml of water. The data used to make the predictions can be found in https://data.cityofchicago.org/d/qmqz-2xku and https://data.cityofchicago.org/d/k7hf-8y75. The measured E. coli levels determined later can be found in https://data.cityofchicago.org/d/2ivx-z93u.
Beach Lab Data

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)
Average Daily Traffic Counts - 2006 Study - Historical

This dataset is historical for 2006. For recent data, we recommend using https://chicagotraffictracker.com or https://data.cityofchicago.org/Transportation/Average-Daily-Traffic-Counts/gc7y-n4xa. Average Daily Traffic (ADT) counts are analogous to a census count of vehicles on city streets. These counts provide a close approximation to the actual number of vehicles passing through a given location on an average weekday. Since it is not possible to count every vehicle on every city street, sample counts are taken along larger streets to get an estimate of traffic on half-mile or one-mile street segments. ADT counts are used by city planners, transportation engineers, real-estate developers, marketers and many others for myriad planning and operational purposes. Data Owner: Transportation. Time Period: 2006. Frequency: A citywide count is taken approximately every 10 years. A limited number of traffic counts will be taken and added to the list periodically. Related Applications: Traffic Information Interactive Map (http://webapps.cityofchicago.org/traffic/).
Average Daily Traffic Counts

Average Daily Traffic (ADT) counts around the City of Chicago. Data are collected from over 800 traffic and speed enforcement cameras 24/7/365. Traffic counts are a by-product of these cameras that are primarily used for other operational purposes. Data from the cameras are recorded, summarized, and assigned to a street segment through the Chicago Department of Transportation's (CDOT) Advanced Traffic Management System (ATMS). Each vendor uses proprietary algorithms to count vehicles from video and/or radar detection data. The daily count from a camera is assigned to the street segment where the camera is located. If there are multiple cameras on the same street segment, the daily count is the average of the counts from all cameras on the segment. If the camera is at the intersection monitoring all turning movements (e.g., traffic cameras), the counts are appropriately assigned to multiple segments converging at the intersection. Hence, the data are available for more segments than the number of cameras. Each daily count record in this dataset is the average of the daily count from the last thirty days. The 30-day average is used to normalize exceptional volumes for short periods. Information on each segment is provided with this data. These segments are quarter-mile to half-mile stretches of roadway. Occasionally, counts can be wrong due to unexpected device or field conditions, resulting in inaccurate daily totals for a certain period. When errors are identified, corrections are made, and such corrections may only be reflected in the data post-correction. By using this dataset, you are accepting any and all maps/data and information you may receive (the "data") "as is" and without any warranty or representation whatsoever, express or implied, whether for accuracy, timeliness, completeness, fitness for a particular purpose or otherwise. The information on this site is provided here for reference purposes only. While every effort is made to provide as much accurate information as possible, the City of Chicago, any of its departments, or any of its employees, cannot be held liable for the accuracy and completeness of this information. Data is available in the dataset from October 2020. New cameras are added on a rolling basis. Data accuracy and consistency are higher from May 2026 and later. Visual representation of daily ADT is also available on http://ChicagoTrafficTracker.com site.
Arrests

Each record in this dataset shows information about an arrest executed by the Chicago Police Department (CPD). Source data comes from the CPD Automated Arrest application. This electronic application is part of the CPD CLEAR (Citizen Law Enforcement Analysis and Reporting) system, and is used to process arrests Department-wide. A more-detailed version of this dataset is available to media by request. To make a request, please email [dataportal@cityofchicago.org] with the subject line: Arrests Access Request. Access will require an account on this site, which you may create at https://data.cityofchicago.org/signup. New data fields may be added to this public dataset in the future. Requests for individual arrest reports or any other related data other than access to the more-detailed dataset should be directed to [CPD], through contact information on that site or a [Freedom of Information Act (FOIA)] request. The data is limited to adult arrests, defined as any arrest where the arrestee was 18 years of age or older on the date of arrest. The data excludes arrest records expunged by CPD pursuant to the Illinois Criminal Identification Act (20 ILCS 2630/5.2). Department members use charges that appear in Illinois Compiled Statutes or Municipal Code of Chicago. Arrestees may be charged with multiple offenses from these sources. Each record in the dataset includes up to four charges, ordered by severity and with CHARGE1 as the most severe charge. Severity is defined based on charge class and charge type, criteria that are routinely used by Illinois court systems to determine penalties for conviction. In case of a tie, charges are presented in the order that the arresting officer listed the charges on the arrest report. By policy, Department members are provided general instructions to emphasize seriousness of the offense when ordering charges on an arrest report. Each record has an additional set of columns where a charge characteristic (statute, description, type, or class) for all four charges, or fewer if there were not four charges, is concatenated with the | character. These columns can be used with the Filter function's "Contains" operator to find all records where a value appears, without having to search four separate columns. Users interested in learning more about CPD arrest processes can review current directives, using the CPD Automated Directives system (http://directives.chicagopolice.org/directives/). Relevant directives include: • Special Order S06-01-11 – CLEAR Automated Arrest System: describes the application used by Department members to enter arrest data. • Special Order S06-01-04 – Arrestee Identification Process: describes processes related to obtaining and using CB numbers. • Special Order S09-03-04 – Assignment and Processing of Records Division Numbers: describes processes related to obtaining and using RD numbers. • Special Order 06-01 – Processing Persons Under Department Control: describes required tasks associated with arrestee processing, include the requirement that Department members order charges based on severity.
ARPA Road to Recovery Program Key Performance Indicators

Program-level performance impact information for each of the City of Chicago’s American Rescue Plan Act (ARPA) programs. As part of the City’s Road to Recovery Plan, the City has designed processes to track progress for programs that support local communities in recovery from the COVID-19 pandemic. Data is segmented by program with a unique identifier and is cumulative since inception of the grant from the US Department of Treasury. Visit https://www.chicago.gov/ARPA to learn more.
ARPA Road to Recovery Program Details

Program information for each of the City of Chicago’s American Rescue Plan Act (ARPA) programs. As part of the City’s Road to Recovery Plan, the City has allocated its funding to programs that support its communities in recovery from the COVID-19 pandemic. This dataset contains business data on the City of Chicago’s ARPA programs, the associated administering department, and alignment to Policy Pillar via program identifier of “cost_center.” Visit https://www.chicago.gov/ARPA to learn more.
ARPA Road to Recovery Grants Summary Report

Program-level financial information for each of the City of Chicago’s American Rescue Plan Act (ARPA) programs. As part of the City’s Road to Recovery Plan, the City has allocated its funding to programs that support its communities in recovery from the COVID-19 pandemic. Financial data is segmented by program, API field name “cost_center,” and is cumulative since inception of the grant from the US Department of Treasury. Visit https://www.chicago.gov/ARPA to learn more.
ARPA Road to Recovery Geographic Program Impact

Program-level geographic impact information for each of the City of Chicago’s community-facing American Rescue Plan Act (ARPA) programs. As part of the City’s Road to Recovery Plan, the City has designed processes to track progress for programs that support local communities in recovery from the COVID-19 pandemic. Data is collected cumulatively and segmented by program with a unique identifier. The dataset is further partitioned by timeframe since the inception of the grant from the US Department of Treasury. Visit https://www.chicago.gov/ARPA to learn more.
ARPA Road to Recovery Expenditure Report

Program-level expenditure information for each of the City of Chicago’s American Rescue Plan Act (ARPA) programs. As part of the City’s Road to Recovery Plan, the City has allocated its funding to programs that support its communities in recovery from the COVID-19 pandemic. Expenditures are segmented by program, API field name “cost_center,” and itemized by date field "expense_date" since inception of the grant from the US Department of Treasury. Visit https://www.chicago.gov/ARPA to learn more.
Affordable Rental Housing Developments

The rental housing developments listed below are among the thousands of affordable units that are supported by City of Chicago programs to maintain affordability in local neighborhoods. The list is updated periodically when construction is completed for new projects or when the compliance period for older projects expire, typically after 30 years. The list is provided as a courtesy to the public. It does not include every City-assisted affordable housing unit that may be available for rent, nor does it include the hundreds of thousands of naturally occurring affordable housing units located throughout Chicago without City subsidies. For information on rents, income requirements and availability for the projects listed, contact each property directly. For information on other affordable rental properties in Chicago and Illinois, call (877) 428-8844, or visit www.ILHousingSearch.org.
ACS 5 Year Data by Ward

Selected variables from the most recent 5 year ACS Community Survey (Released 2023) aggregated by Ward. Additional years will be added as they become available. The underlying algorithm to create the dataset calculates the percent of a census tract that falls within the boundaries of a given ward. Given that census tracts and ward boundaries are not aligned, these figures should be considered an estimate. Total Population in this Dataset: 2,649,803 Total Population of Chicago reported by ACS 2023: 2,664,452 % Difference: %-0.55 There are different approaches in common use for displaying Hispanic or Latino population counts. In this dataset, following the approach taken by the Census Bureau, a person who identifies as Hispanic or Latino will also be counted in the race category with which they identify. However, again following the Census Bureau data, there is also a column for White Not Hispanic or Latino. The City of Chicago is actively soliciting community input on how best to represent race, ethnicity, and related concepts in its data and policy. Every dataset, including this one, has a "Contact dataset owner" link in the Actions menu. You can use it to offer any input you wish to share or to indicate if you would be interested in participating in live discussions the City may host. Code can be found here: https://github.com/Chicago/5-Year-ACS-Survey-Data Ward Shapefile: https://data.cityofchicago.org/Facilities-Geographic-Boundaries/Boundaries-Wards-2023-Map/cdf7-bgn3 Census Area Python Package Documentation: https://census-area.readthedocs.io/en/latest/index.html
ACS 5 Year Data by Community Area

Selected variables from the most recent ACS Community Survey (Released 2023) aggregated by Community Area. Additional years will be added as they become available. The underlying algorithm to create the dataset calculates the % of a census tract that falls within the boundaries of a given community area. Given that census tracts and community area boundaries are not aligned, these figures should be considered an estimate. Total population in this dataset: 2,647,621 Total Chicago Population Per ACS 2023: 2,664,452 % Difference: -0.632% There are different approaches in common use for displaying Hispanic or Latino population counts. In this dataset, following the approach taken by the Census Bureau, a person who identifies as Hispanic or Latino will also be counted in the race category with which they identify. However, again following the Census Bureau data, there is also a column for White Not Hispanic or Latino. Code can be found here: https://github.com/Chicago/5-Year-ACS-Survey-Data Community Area Shapefile: https://data.cityofchicago.org/Facilities-Geographic-Boundaries/Boundaries-Community-Areas-current-/cauq-8yn6 Census Area Python Package Documentation: https://census-area.readthedocs.io/en/latest/index.html