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://res1githubd-o-tcom.vcapture.xyz/Chicago/5-Year-ACS-Survey-Data Community Area Shapefile: https://res1datad-o-tcityofchicagod-o-torg.vcapture.xyz/Facilities-Geographic-Boundaries/Boundaries-Community-Areas-current-/cauq-8yn6 Census Area Python Package Documentation: https://res1census-aread-o-treadthedocsd-o-tio.vcapture.xyz/en/latest/index.html

Census tract boundaries in Chicago. The data can be viewed on the Chicago Data Portal with a web browser. However, to view or use the files outside of a web browser, you will need to use compression software and special GIS software, such as ESRI ArcGIS (shapefile) or Google Earth (KML or KMZ), is required.

About

There have been several blog posts about open data in Chicago (see here and here) - though there doesn't seem to be a single registry of open data.

Political/administrative boundary data sets are available at:

• Boundary Data

Datasets include:

• Census Block
• Census Data -- November 2004
• Census Tracts
• City Boundary
• Citywide Wards Map
• Community Areas
• IL House
• IL Senate
• Surrounding Municipalities
• Neighborhoods
• Precincts
• TIFS 2008
• US Congress
• Zipcodes

Openness

Assume this is intended to be open, but no information found on whether or not data can legally be reused.

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.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: Decennial census (2010); American Community Survey (ACS), 2006-2010; Brown Longitudinal Tract Database (LTDB) based on decennial census data, 2000 & 1990 References: Wilson, William J. (1980). The Declining Significance of Race: Blacks and Changing American Institutions. Chicago: University of Chicago Press. 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://hudgis-hud.opendata.arcgis.com/datasets/56de4edea8264fe5a344da9811ef5d6e_0?geometry=127.258%2C28.846%2C-10.730%2C67.170Original data sourced from: https://hudgis-hud.opendata.arcgis.com/datasets/56de4edea8264fe5a344da9811ef5d6e_0

This dataset details the low-moderate income eligible census tracts in the Chicago Southland region. Census tract numbers are courtesy of the United States Census.

🇺🇸 미국 English 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

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.

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 forma​​t 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 contains R/ECAP data for the nine-county San Francisco Bay Region at the census tract level.

To assist communities in identifying racially/ethnically-concentrated areas of poverty (R/ECAPs), HUD has developed a census tract-based definition of R/ECAPs.

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.

Data Source: Decennial census (2010); American Community Survey (ACS), 2006-2010; Brown Longitudinal Tract Database (LTDB) based on decennial census data, 2000 & 1990 References: Wilson, William J. (1980). The Declining Significance of Race: Blacks and Changing American Institutions. Chicago: University of Chicago Press.

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.

This project's main goal was to develop an analytical framework that could be used for analysis of rare crimes observed at local (intra-city) levels of geographic aggregation. To demonstrate the application of this framework to a real-world issue, this project analyzed the occurrence of different types of homicide at both the census tract and neighborhood cluster level in Chicago. Homicide counts for Chicago's 865 census tracts for 1989-1991 were obtained from HOMICIDES IN CHICAGO, 1965-1995 (ICPSR 6399), Part 1: Victim Level Data. The types of homicide examined were gang-related, instrumental, family-related expressive, known person expressive, stranger expressive, and other. Demographic and socioeconomic data at the census tract level for the year 1990 were obtained from the Neighborhood Change Database (NCDB) at the Urban Institute. Part 1 contains these data, as initially obtained, at the census tract level. Part 2 contains an aggregated version of the same data for Chicago's 343 neighborhood clusters as defined by the Project on Human Development in Chicago's Neighborhoods.

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.

Community level metrics for the Chicago site.

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.

This dataset helps to investigate the Spatial Accessibility to HIV Testing, Treatment, and Prevention Services in Illinois and Chicago, USA. The main components are: population data, healthcare data, GTFS feeds, and road network data. The core components are: 1) GTFS which contains GTFS (General Transit Feed Specification) data which is provided by Chicago Transit Authority (CTA) from Google's GTFS feeds. Documentation defines the format and structure of the files that comprise a GTFS dataset: https://developers.google.com/transit/gtfs/reference?csw=1. 2) HealthCare contains shapefiles describing HIV healthcare providers in Chicago and Illinois respectively. The services come from Locator.HIV.gov. 3) PopData contains population data for Chicago and Illinois respectively. Data come from The American Community Survey and AIDSVu. AIDSVu (https://map.aidsvu.org/map) provides data on PLWH in Chicago at the census tract level for the year 2017 and in the State of Illinois at the county level for the year 2016. The American Community Survey (ACS) provided the number of people aged 15 to 64 at the census tract level for the year 2017 and at the county level for the year 2016. The ACS provides annually updated information on demographic and socio economic characteristics of people and housing in the U.S. 4) RoadNetwork contains the road networks for Chicago and Illinois respectively from OpenStreetMap using the Python osmnx package. The abstract for our paper is: Accomplishing the goals outlined in “Ending the HIV (Human Immunodeficiency Virus) Epidemic: A Plan for America Initiative” will require properly estimating and increasing access to HIV testing, treatment, and prevention services. In this research, a computational spatial method for estimating access was applied to measure distance to services from all points of a city or state while considering the size of the population in need for services as well as both driving and public transportation. Specifically, this study employed the enhanced two-step floating catchment area (E2SFCA) method to measure spatial accessibility to HIV testing, treatment (i.e., Ryan White HIV/AIDS program), and prevention (i.e., Pre-Exposure Prophylaxis [PrEP]) services. The method considered the spatial location of MSM (Men Who have Sex with Men), PLWH (People Living with HIV), and the general adult population 15-64 depending on what HIV services the U.S. Centers for Disease Control (CDC) recommends for each group. The study delineated service- and population-specific accessibility maps, demonstrating the method’s utility by analyzing data corresponding to the city of Chicago and the state of Illinois. Findings indicated health disparities in the south and the northwest of Chicago and particular areas in Illinois, as well as unique health disparities for public transportation compared to driving. The methodology details and computer code are shared for use in research and public policy.

The purpose of the Project on Human Development in Chicago Neighborhoods was to understand how families, schools, and neighborhoods affect child and adolescent development. This included an extensive undertaking on understanding the causes and the pathways of juvenile delinquency, adult crime, substance abuse, and violence. The Project had a focus on studying problematic behavior as well as an interest in social competence. The long-term objectives were to create knowledge that would inform violence prevention strategies and help develop better approaches to the promotion of social competence in children from infancy to young adulthood. The Project combined two studies into one comprehensive design. The first study was an intensive study of Chicago's neighborhoods including their social, economic, organizational, political, and cultural structures, and the changes that take place within these structures. This was achieved through data collection efforts at the community level, including a community survey of Chicago residents, interviews with neighborhood experts, systematic social observations involving block by block videotaping, and analyses of school, police, court and other agency records. The second study was a longitudinal cohort study involving seven randomly selected cohorts of children, adolescents, and young adults, looking at the changing circumstances of their lives and the personal characteristics that may lead them towards or away from a variety of antisocial behaviors. PHDCN is comprised of five components: I-a longitudinal Study with an embedded intensive study of infants; II-a Community Survey; III-an Observational Study of Neighborhoods; IV-a Neighborhood Expert Survey; and V-Administrative data. Neighborhoods were operationally defined as 343 clusters of city blocks from Chicago's 847 populated census tracts.The Community Survey is a multidimensional assessment by Chicago residents of their neighborhoods. The Survey evaluated the structural conditions and organization of neighborhoods in Chicago with respect to such critical dimensions as dynamic structure of the local community; the neighborhood organizational/political structure; cultural values; informal social control; formal social control; and social cohesion. The Survey consisted of household interviews with 8,782 Chicago residents aged 18 and older from all 343 neighborhood clusters. The NCs were constructed to be internally homogenous with respect to socioeconomic and ethnic mix, housing density, and family. Variables assessed included "Social, Economic, and Demographic Structure";"Organizational/Political Structure";"Informal Social Control";"Social Cohesion";"Social Disorder"; and "Cultural Structure".

These datasets contain information on every homicide in the murder analysis files of the Chicago Police Department for the years 1965-1995. For the victim-level file, Part 1, data are provided on the relationship of victim to offender, whether the victim or offender had previously committed a violent or nonviolent offense, time of occurrence and place of homicide, type of weapon used, cause and motivation for the incident, whether the incident involved drugs, alcohol, gangs, child abuse, or a domestic relationship, if or how the offender was identified, and information on the death of the offender(s). Demographic variables such as the age, sex, and race of each victim and offender are also provided. The victim-level file contains one record for each victim. Information for up to five offenders is included on each victim record. The same offender information is duplicated depending on the number of victims. For example, if a sole offender is responsible for five victims, the file contains five victim records with the offender's information repeated on each record. Part 2, Offender-Level Data, is provided to allow the creation of offender rates and risk analysis that could not be accurately prepared using the victim-level file due to the repeating of the offender information on each victim record. Offender variables were reorganized during the creation of the offender file so that each known offender is associated with a single record. A majority of the variables in the offender-level file are replicas of variables in the victim-level file. The offender records contain demographic information about the offender, demographic and relationship information about the offender's first victim (or sole victim if there was only one), and information about the homicide incident. Information pertaining to the homicide incident such as _location, weapon, or drug use are the same as in the victim-level file. In cases where the offender data were completely missing in the victim-level data, no offender records were generated in the offender-level file. The offender-level data do not contain information about the victims in these cases. Geographic variables in both files include the census tract, community area, police district, and police area.

The purpose of the Project on Human Development in Chicago Neighborhoods (PHDCN) was to examine how families, schools, and neighborhoods affect child and adolescent development. This included understanding the causes and the pathways of juvenile delinquency, adult crime, substance abuse, and violence. The Project had a focus on studying problematic behavior as well as an interest in social competence. The long-term objectives were to create knowledge that would inform violence prevention strategies and help develop better approaches to the promotion of social competence in children from infancy to young adulthood. The Project combined two studies into one comprehensive design. The first study was an intensive study of Chicago's neighborhoods including their social, economic, organizational, political, and cultural structures, and the changes that take place within these structures. This was achieved through data collection efforts at the community level, including a community survey of Chicago residents, interviews with neighborhood experts, systematic social observations involving block by block videotaping, and analyses of school, police, court and other agency records. The second study was a longitudinal cohort study involving seven randomly selected cohorts of children, adolescents, and young adults, looking at the changing circumstances of their lives and the personal characteristics that may lead them towards or away from a variety of antisocial behaviors. PHDCN is organized as five components: 1) Longitudinal study with an embedded intensive study of infants (Infant Assessment Unit); 2) Community survey; 3) Observational study of neighborhoods; 4) Neighborhood expert survey; and 5) Administrative data. Neighborhoods were operationally defined as 343 clusters of city blocks from Chicago's 847 populated census tracts. The Longitudinal Cohort Study consists of three waves of data collected over a period of seven years from a sample of children and youth and their primary caregivers. The study involves seven randomly selected cohorts of children, adolescents, and young adults, looking at the changing circumstances of their lives and the personal characteristics that may lead them towards or away from a variety of antisocial behaviors. The age cohorts include birth, 3, 6, 9, 12, 15, and 18 years. Participants were drawn from 80 neighborhood clusters and were selected through in-person screening of 40,000 dwelling units within the identified communities. A total of 8,347 participants were identified. In the first wave of data collection, 75% of the identified participants were interviewed. Questions assessed impulse control and sensation-seeking traits, cognitive and language development, leisure activities, delinquency and substance abuse, friends' activities, and self-perception, attitudes, and values. Caregivers were also interviewed and questions focused on family structure, parent characteristics, parent-child relationships, parent discipline styles, family mental health, and family history of criminal behavior and drug use. Interviews were given in Spanish, English and Polish. Wave 1 also included the Infant Assessment Unit where 412 participants from the longitudinal birth cohort were assessed on each infant's growth and health, cognitive capabilities, and motor skills. Videotaped interactions between these infants and their caregivers are also available. A second wave of data collection with the longitudinal sample was conducted between 1997-1999 with a response rate of 85.94%, and a third wave in 2000-2001 with a response rate of 78.19%.

Abstract (en): This survey was undertaken to assemble a broad range of family, household, employment, schooling, and welfare data on families living in urban poverty areas of Chicago. The researchers were seeking to test a variety of theories about urban poverty. Questions concerned respondents' current lives as well as their recall of life events from birth to age 21. Major areas of investigation included household composition, family background, education, time spent in detention or jail, childbirth, fertility, relationship history, current employment, employment history, military service, participation in informal economy, child care, child support, child-rearing, neighborhood and housing characteristics, social networks, current health, current and past public aid use, current income, and major life events. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Performed consistency checks.. Non-Hispanic whites, non-Hispanic Blacks, and persons of Mexican or Puerto Rican ethnicity, aged 18-44, residing in 1986 in Chicago census tracts with 20 percent or more persons living under the poverty line. Multistage stratified probability sample design yielding 2,490 observations (1,183 Blacks, 364 whites, 489 Mexican-origin persons, and 454 Puerto Rican-origin persons). Though Black respondents include parents (N = 1,020) and non-parents (N = 163), only parents were selected within non-Black groups. Response rates ranged from 73.8 percent for non-Hispanic whites to 82.5 percent for Black parents. 1997-11-04 The documentation and frequencies are being released as PDF files, and an SPSS export file is now available. Also, the SAS data definition statements and SPSS data definition statements have been reissued with minor changes, and SPSS value labels are being released in Part 7 due to SPSS for Windows limitations. Funding insitution(s): Carnegie Corporation. Chicago Community Trust. Ford Foundation. Institute for Research on Poverty. Joyce Foundation. Lloyd A. Fry Foundation. John D. and Catherine T. MacArthur Foundation. Rockefeller Foundation. Spencer Foundation. United States Department of Health and Human Services. William T. Grant Foundation. Woods Charitable Fund. Value labels for this study are being released in a separate file, Part 7, to assist users of SPSS Release 6.1 for Windows. The syntax window in this version of SPSS will read a maximum of 32,767 lines. If all value labels were included in the SPSS data definition file, the number of lines in the file would exceed 32,767 lines.All references to card-image data in the codebook are no longer applicable.During generation of the logical record length data file, ICPSR optimized variable widths to the width of the widest value appearing in the data collection for each variable. However, the principal investigator's user-missing data code definitions were retained even when a variable contained no missing data. As a result, when user-missing data values are defined (e.g., by uncommenting the MISSING VALUES section in the SPSS data definition statements) and exceed the optimized variable width, SPSS's display dictionary output will contain asterisks for the missing data codes.Producer: University of Chicago, Center for the Study of urban Inequality, and the National Opinion Research Center (NORC).

Data collected from the previous Census and the American Community Survey has allowed us to predict what areas of the South Suburbs are likely to be undercounted.The Hard-to-Count (HTC) Map provides residents and census workers with an in-depth view of southland region of Chicago.​By using this data, we can create plans to target these municipalities and ensure that each resident of the south suburbs is counted in the 2020 Census.The HTC Map is best viewed on a desktop computer. FREE OUTREACH MATERIALS​SSMMA has printed materials such as handouts, brochures, banners, and other printed materials for Southland residents. If interested in receiving 2020 Census care bags to reach residents while events are postponed, please contact us. Contact coordinator@southlandcounts.org for more information.​​Additional resources:​The U.S. Census Bureau - Outreach Materials