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License information was derived automatically
Historical dataset of population level and growth rate for the Chicago metro area from 1950 to 2025.
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
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Population estimates by the U.S. Census Bureau by U.S. Census Block.
This is a dataset hosted by the City of Chicago. The city has an open data platform found here and they update their information according the amount of data that is brought in. Explore the City of Chicago using Kaggle and all of the data sources available through the City of Chicago organization page!
This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.
The Chicago data used for FHWA's Estimation of Travel Time Distributions Along User-Defined Travel Paths (EOTTD) project consisted of simulated vehicle trajectories, conducted for actual weather conditions.
This survey was conducted as part of the Citizen Participation and Community Crime Prevention project at the Center for Urban Affairs and Policy Research, Northwestern University. The project was conducted to gain a deeper understanding of the wide range of activities in which the American public engages to be secure from crime. In particular, this survey was designed to identify the scope of anti-crime activities and investigate the processes that facilitate or inhibit the public's involvement in those activities. The geographical area for the survey was defined by the "commuting basin" of Chicago, excluding several independent cities and their suburbs (e.g., Aurora, Waukegan, and Joliet) on the northern and western fringes of that area, and excluding all areas in Indiana. Interviewing was carried out by the Survey Research Laboratory at the University of Illinois during June through August 1979. Information was gathered on people's opinions toward safety, their involvement with crime prevention activities, and the quality of life in their neighborhoods. In addition, data were assembled from Census Bureau and police reports for each community area in which respondents lived in the years immediately preceding the survey.
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More details about each file are in the individual file descriptions.
This is a dataset hosted by the City of Chicago. The city has an open data platform found here and they update their information according the amount of data that is brought in. Explore the City of Chicago using Kaggle and all of the data sources available through the City of Chicago organization page!
This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.
This dataset is distributed under the following licenses: Public Domain
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Homes Sold: sa: All Residential: Chicago, IL data was reported at 8,693.019 Unit th in Jul 2020. This records an increase from the previous number of 6,102.253 Unit th for Jun 2020. Homes Sold: sa: All Residential: Chicago, IL data is updated monthly, averaging 7,955.512 Unit th from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 8,778.475 Unit th in Apr 2017 and a record low of 5,341.268 Unit th in May 2020. Homes Sold: sa: All Residential: Chicago, IL data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB018: Homes Sold: by Metropolitan Areas: Seasonally Adjusted.
Areas of Chicago, based on census tracts, that are the most socioeconomically disadvantaged, for the purpose of promoting equitable hiring within areas of economic need. Qualifying areas were identified using three criteria, based on data from the 2014 American Community Survey: household income, poverty rate, and unemployment rate. These area designations are used for workforce bid incentives for City contracts administered by the Department of Procurement Services. They will also be used for workforce requirements for construction at the temporary casino facility, as agreed to in the Host Community Agreement between Bally’s and the City of Chicago. The designations are made under Section 2-92-390 of the City of Chicago code. 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.
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Taxicabs in Chicago, Illinois, are operated by private companies and licensed by the city. There are about seven thousand licensed cabs operating within the city limits. Licenses are obtained through the purchase or lease of a taxi medallion which is then affixed to the top right hood of the car. Source: https://en.wikipedia.org/wiki/Taxicabs_of_the_United_States#Chicago
This dataset includes taxi trips from 2013 to the present, reported to the City of Chicago in its role as a regulatory agency. To protect privacy but allow for aggregate analyses, the Taxi ID is consistent for any given taxi medallion number but does not show the number, Census Tracts are suppressed in some cases, and times are rounded to the nearest 15 minutes. Due to the data reporting process, not all trips are reported but the City believes that most are. See http://digital.cityofchicago.org/index.php/chicago-taxi-data-released for more information about this dataset and how it was created.
Fork this kernel to get started.
https://bigquery.cloud.google.com/dataset/bigquery-public-data:chicago_taxi_trips
https://cloud.google.com/bigquery/public-data/chicago-taxi
Dataset Source: City of Chicago
This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source —https://data.cityofchicago.org — and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.
Banner Photo by Ferdinand Stohr from Unplash.
What are the maximum, minimum and average fares for rides lasting 10 minutes or more? Which drop-off areas have the highest average tip? How does trip duration affect fare rates for trips lasting less than 90 minutes?
https://cloud.google.com/bigquery/images/chicago-taxi-fares-by-duration.png" alt="">
https://cloud.google.com/bigquery/images/chicago-taxi-fares-by-duration.png
The following dataset includes "Active Benchmarks," which are provided to facilitate the identification of City-managed standard benchmarks. Standard benchmarks are for public and private use in establishing a point in space. Note: The benchmarks are referenced to the Chicago City Datum = 0.00, (CCD = 579.88 feet above mean tide New York). The City of Chicago Department of Water Management’s (DWM) Topographic Benchmark is the source of the benchmark information contained in this online database. The information contained in the index card system was compiled by scanning the original cards, then transcribing some of this information to prepare a table and map. Over time, the DWM will contract services to field verify the data and update the index card system and this online database.This dataset was last updated September 2011. Coordinates are estimated. To view map, go to https://data.cityofchicago.org/Buildings/Elevation-Benchmarks-Map/kmt9-pg57 or for PDF map, go to http://cityofchicago.org/content/dam/city/depts/water/supp_info/Benchmarks/BMMap.pdf. Please read the Terms of Use: http://www.cityofchicago.org/city/en/narr/foia/data_disclaimer.html.
Note: This dataset is historical only and there are not corresponding datasets for more recent time periods. For that more-recent information, please visit the Chicago Health Atlas at https://chicagohealthatlas.org.
This dataset contains a selection of 27 indicators of public health significance by Chicago community area, with the most updated information available. The indicators are rates, percents, or other measures related to natality, mortality, infectious disease, lead poisoning, and economic status. See the full description at https://data.cityofchicago.org/api/assets/2107948F-357D-4ED7-ACC2-2E9266BBFFA2.
Property currently or historically owned and managed by the City of Chicago. Information provided in the database, or on the City’s website generally, should not be used as a substitute for title research, title evidence, title insurance, real estate tax exemption or payment status, environmental or geotechnical due diligence, or as a substitute for legal, accounting, real estate, business, tax or other professional advice. The City assumes no liability for any damages or loss of any kind that might arise from the reliance upon, use of, misuse of, or the inability to use the database or the City’s web site and the materials contained on the website. The City also assumes no liability for improper or incorrect use of materials or information contained on its website. All materials that appear in the database or on the City’s web site are distributed and transmitted "as is," without warranties of any kind, either express or implied as to the accuracy, reliability or completeness of any information, and subject to the terms and conditions stated in this disclaimer.
The following columns were added 4/14/2023:
The following columns were added 3/19/2024:
To assist communities in identifying racially/ethnically-concentrated areas of poverty (R/ECAPs), HUD has developed a census tract-based definition of R/ECAPs. The definition involves a racial/ethnic concentration threshold and a poverty test. The racial/ethnic concentration threshold is straightforward: R/ECAPs must have a non-white population of 50 percent or more. Regarding the poverty threshold, Wilson (1980) defines neighborhoods of extreme poverty as census tracts with 40 percent or more of individuals living at or below the poverty line. Because overall poverty levels are substantially lower in many parts of the country, HUD supplements this with an alternate criterion. Thus, a neighborhood can be a R/ECAP if it has a poverty rate that exceeds 40% or is three or more times the average tract poverty rate for the metropolitan/micropolitan area, whichever threshold is lower. Census tracts with this extreme poverty that satisfy the racial/ethnic concentration threshold are deemed R/ECAPs. This translates into the following equation: Where i represents census tracts, () is the metropolitan/micropolitan (CBSA) mean tract poverty rate, is the ith tract poverty rate, () is the non-Hispanic white population in tract i, and Pop is the population in tract i.While this definition of R/ECAP works well for tracts in CBSAs, place outside of these geographies are unlikely to have racial or ethnic concentrations as high as 50 percent. In these areas, the racial/ethnic concentration threshold is set at 20 percent.
Data Source: American Community Survey (ACS), 2009-2013; Decennial Census (2010); Brown Longitudinal Tract Database (LTDB) based on decennial census data, 1990, 2000 & 2010.
Related AFFH-T Local Government, PHA Tables/Maps: Table 4, 7; Maps 1-17. Related AFFH-T State Tables/Maps: Table 4, 7; Maps 1-15, 18.
References:Wilson, William J. (1980). The Declining Significance of Race: Blacks and Changing American Institutions. Chicago: University of Chicago Press.
To learn more about R/ECAPs visit:https://www.hud.gov/program_offices/fair_housing_equal_opp/affh ; https://www.hud.gov/sites/dfiles/FHEO/documents/AFFH-T-Data-Documentation-AFFHT0006-July-2020.pdf, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Date of Coverage: 11/2017
The city boundary of 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.
This dataset is a listing of all active City of Chicago employees, complete with full names, departments, positions, employment status (part-time or full-time), frequency of hourly employee –where applicable—and annual salaries or hourly rate. Please note that "active" has a specific meaning for Human Resources purposes and will sometimes exclude employees on certain types of temporary leave. For hourly employees, the City is providing the hourly rate and frequency of hourly employees (40, 35, 20 and 10) to allow dataset users to estimate annual wages for hourly employees. Please note that annual wages will vary by employee, depending on number of hours worked and seasonal status. For information on the positions and related salaries detailed in the annual budgets, see https://www.cityofchicago.org/city/en/depts/obm.html
Data Disclosure Exemptions: Information disclosed in this dataset is subject to FOIA Exemption Act, 5 ILCS 140/7 (Link:https://www.ilga.gov/legislation/ilcs/documents/000501400K7.htm)
This dataset includes information about building permits issued by the City of Chicago from 2006 to the present, excluding permits that have been voided or revoked after issuance. Most types of permits are issued subject to payment of the applicable permit fee. Work under a permit may not begin until the applicable permit fee is paid.
For more information about building permits, see http://www.chicago.gov/permit.
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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/).
This is a dataset hosted by the City of Chicago. The city has an open data platform found here and they update their information according the amount of data that is brought in. Explore the City of Chicago using Kaggle and all of the data sources available through the City of Chicago organization page!
This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.
Cover photo by Denys Nevozhai on Unsplash
Unsplash Images are distributed under a unique Unsplash License.
INFORMATION ABOUT 7/12/2019 CHANGES TO THIS DATASET: http://bit.ly/2XV3ERS -- This dataset includes information about currently-valid building permits issued by the City of Chicago from 2006 to the present. Building permits are issued subject to payment of applicable fees. If building or zoning permit fees show as unpaid, the permit is not valid. (A permit is valid if only “other fees” are shown as unpaid.) This dataset does not include permits which have been issued and voided or revoked. This dataset also does not include permits for mechanical amusement riding devices and carnivals issued by the Department of Buildings.
Property Index Numbers (PINs) and geographic information (ward, community area and census tract) are provided for most permit types issued in 2008 or later.
For more information on building permits, see https://www.chicago.gov/city/en/depts/bldgs/provdrs/permits.html.
For an application related to building permits and inspections, see https://webapps1.chicago.gov/buildingrecords.
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More details about each file are in the individual file descriptions.
This is a dataset hosted by the City of Chicago. The city has an open data platform found here and they update their information according the amount of data that is brought in. Explore the City of Chicago using Kaggle and all of the data sources available through the City of Chicago organization page!
This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.
This dataset is distributed under the following licenses: Public Domain
The U.S. Department of Education’s graduation rate, which is reported through the Integrated Postsecondary Education Data System (IPEDS), is a nationally recognized and commonly used metric in higher education. Graduation rate is calculated as the percentage of first‐time, full‐time, degree/certificate seeking students that complete a CCC program within 150% of the estimated time it takes to complete the program.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Historical dataset of population level and growth rate for the Chicago metro area from 1950 to 2025.