Comprehensive demographic dataset for Chicago, IL, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

The Project on Human Development in Chicago Neighborhoods (PHDCN) was a large-scale, interdisciplinary study of how families, schools, and neighborhoods affect child and adolescent development. One component of the PHDCN was the Longitudinal Cohort Study, which was a series of coordinated longitudinal studies that followed over 6,000 randomly selected children, adolescents, and young adults, and their primary caregivers over time to examine the changing circumstances of their lives, as well as the personal characteristics, that might lead them toward or away from a variety of antisocial behaviors. Numerous measures were administered to respondents to gauge various aspects of human development, including individual differences, as well as family, peer, and school influences. The data files in this study contain basic demographic information including employment, income, race/ethnicity, welfare status, and material hardship.

Context

The City of Chicago's open data portal lets you find city data, lets you find facts about your neighborhood, lets you create maps and graphs about the city, and lets you freely download the data for your own analysis. Many of these datasets are updated at least once a day, and many of them are updated several times a day... [Ref: https://data.cityofchicago.org/#about]

Content

Latitude and longitude data of each Chicago Neighborhood.

Comprehensive demographic dataset for Chicago Loop, Chicago, IL, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Comprehensive demographic dataset for Far Southeast Side Chicago, Chicago, IL, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Comprehensive demographic dataset for North Side Chicago, Chicago, IL, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

The Project on Human Development in Chicago Neighborhoods (PHDCN) was a large-scale, interdisciplinary study of how families, schools, and neighborhoods affect child and adolescent development. One component of the PHDCN was the Longitudinal Cohort Study, which was a series of coordinated longitudinal studies that followed over 6,000 randomly selected children, adolescents, and young adults, and their primary caregivers over time to examine the changing circumstances of their lives, as well as the personal characteristics, that might lead them toward or away from a variety of antisocial behaviors. Numerous measures were administered to respondents to gauge various aspects of human development, including individual differences, as well as family, peer, and school influences. One such measure was the Personal Identity instrument. It was administered to subjects in Cohorts 6, 9, 12, 15, and 18 and obtained information related to racial and ethnic identity, which was originally collected in PROJECT ON HUMAN DEVELOPMENT IN CHICAGO NEIGHBORHOODS (PHDCN): DEMOGRAPHIC FILE, WAVE 1, 1994-1997 (ICPSR 13581), and PROJECT ON HUMAN DEVELOPMENT IN CHICAGO NEIGHBORHOODS (PHDCN): DEMOGRAPHIC FILE, WAVE 2, 1997-2000 (ICPSR 13609). It also contained future orientation and discrimination questions, as well as questions relating to group importance that were drawn from the Puerto Rican Adolescent Survey.

Comprehensive demographic dataset for South Chicago, Chicago, IL, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

File generated from running the Extract Data solution.

Financial overview and grant giving statistics of Chicago Neighborhood Initiatives Inc.

Comprehensive demographic dataset for South Shore, Chicago, IL, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

The Project on Human Development in Chicago Neighborhoods (PHDCN) was a large-scale, interdisciplinary study of how families, schools, and neighborhoods affect child and adolescent development. One component of the PHDCN was the Longitudinal Cohort Study, which was a series of coordinated longitudinal studies that followed over 6,000 randomly selected children, adolescents, and young adults, and their primary caregivers over time to examine the changing circumstances of their lives, as well as the personal characteristics, that might lead them toward or away from a variety of antisocial behaviors. Numerous measures were administered to respondents to gauge various aspects of human development, including individual differences, as well as family, peer, and school influences. One such measure was the Interviewer Impressions (Young Adult). This set of questions was completed by the interviewer at the end of each interview with a young adult (YA). Basic demographic information was collected along with interviewer ratings of the interior and exterior of the home. It was completed for Cohort 18.

Recent advances in quantitative tools for examining urban morphology enable the development of morphometrics that can characterize the size, shape, and placement of buildings; the relationships between them; and their association with broader patterns of development. Although these methods have the potential to provide substantial insight into the ways in which neighborhood morphology shapes the socioeconomic and demographic characteristics of neighborhoods and communities, this question is largely unexplored. Using building footprints in five of the ten largest U.S. metropolitan areas (Atlanta, Boston, Chicago, Houston, and Los Angeles) and the open-source R package, foot, we examine how neighborhood morphology differs across U.S. metropolitan areas and across the urban-exurban landscape. Principal components analysis, unsupervised classification (K-means), and Ordinary Least Squares regression analysis are used to develop a morphological typology of neighborhoods and to examine its association with the spatial, socioeconomic, and demographic characteristics of census tracts. Our findings illustrate substantial variation in the morphology of neighborhoods, both across the five metropolitan areas as well as between central cities, suburbs, and the urban fringe within each metropolitan area. We identify five different types of neighborhoods indicative of different stages of development and distributed unevenly across the urban landscape: these include low-density neighborhoods on the urban fringe; mixed use and high-density residential areas in central cities; and uniform residential neighborhoods in suburban cities. Results from regression analysis illustrate that the prevalence of each of these forms is closely associated with variation in socioeconomic and demographic characteristics such as population density, the prevalence of multifamily housing, and income, race/ethnicity, homeownership, and commuting by car. We conclude by discussing the implications of our findings and suggesting avenues for future research on neighborhood morphology, including ways that it might provide insight into issues such as zoning and land use, housing policy, and residential segregation.

Abstract (en): The Urban Household Sample of the 1860 United States Census was designed to supplement the Bateman-Foust rural sample with observations from urban areas. The sample covers both northern and southern towns and cities and permits examination of female occupations and labor force participation rates. Information on individuals includes occupation, city of residence, age, sex, race, dollar value of real and personal property owned, whether American or foreign born, and literacy. The second release of this collection adds nine constructed variables, including several weight variables, collapsed occupation, ICPSR state code, region, and unique internal family and household identifier numbers. 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: Created variable labels and/or value labels.. All individuals living in towns with populations of 3,000 or more who were enumerated in the 1860 Census of Population Manuscript Schedules. Stratified random sample. 2009-07-24 SAS, SPSS, and Stata setups have been added to this data collection. Funding insitution(s): University of Chicago. Booth School of Business. Center for Population Economics. Nathanial T. Wilcox of the University of Chicago collaborated with Jon Moen for the second release of the data collection.

This data collection was designed to evaluate the effects of disorderly neighborhood conditions on community decline and residents' reactions toward crime. Data from five previously collected datasets were aggregated and merged to produce this collection: (1) REACTIONS TO CRIME PROJECT, 1977 [CHICAGO, PHILADELPHIA, SAN FRANCISCO]: SURVEY ON FEAR OF CRIME AND CITIZEN BEHAVIOR (ICPSR 8162), (2) CHARACTERISTICS OF HIGH AND LOW CRIME NEIGHBORHOODS IN ATLANTA, 1980 (ICPSR 8951), (3) CRIME FACTORS AND NEIGHBORHOOD DECLINE IN CHICAGO, 1979 (ICPSR 7952), (4) REDUCING FEAR OF CRIME PROGRAM EVALUATION SURVEYS IN NEWARK AND HOUSTON, 1983-1984 (ICPSR 8496), and (5) a survey of citizen participation in crime prevention in six Chicago neighborhoods conducted by Rosenbaum, Lewis, and Grant. Neighborhood-level data cover topics such as disorder, crime, fear, residential satisfaction, and other key factors in community decline. Variables include disorder characteristics such as loitering, drugs, vandalism, noise, and gang activity, demographic characteristics such as race, age, and unemployment rate, and neighborhood crime problems such as burglary, robbery, assault, and rape. Information is also available on crime avoidance behaviors, fear of crime on an aggregated scale, neighborhood satisfaction on an aggregated scale, and cohesion and social interaction.

The Project on Human Development in Chicago Neighborhoods (PHDCN) was a large-scale, interdisciplinary study of how families, schools, and neighborhoods affect child and adolescent development. One component of the PHDCN was the Longitudinal Cohort Study, which was a series of coordinated longitudinal studies that followed over 6,000 randomly selected children, adolescents, and young adults, and their primary caregivers over time to examine the changing circumstances of their lives, as well as the personal characteristics, that might lead them toward or away from a variety of antisocial behaviors. Numerous measures were administered to respondents to gauge various aspects of human development, including individual differences, as well as family, peer, and school influences. For primary caregivers included in Wave 3 but not in Wave 2, an addendum interview was administered consisting of measures or portions of measures from the Wave 2 interview. This included questions from PROJECT ON HUMAN DEVELOPMENT IN CHICAGO NEIGHBORHOODS (PHDCN): DEMOGRAPHIC FILE, WAVE 2, 1997-2000 (ICPSR 13609), PROJECT ON HUMAN DEVELOPMENT IN CHICAGO NEIGHBORHOODS (PHDCN): MY CHILD'S EXPOSURE TO VIOLENCE, WAVE 2, 1997-2000 (ICPSR 13619), PROJECT ON HUMAN DEVELOPMENT IN CHICAGO NEIGHBORHOODS (PHDCN): FAMILY SUICIDE INTERVIEW, WAVE 2, 1997-2000 (ICPSR 13623), PROJECT ON HUMAN DEVELOPMENT IN CHICAGO NEIGHBORHOODS (PHDCN): HOUSEHOLD COMPOSITION, WAVE 2, 1997-2000 (ICPSR 13628), PROJECT ON HUMAN DEVELOPMENT IN CHICAGO NEIGHBORHOODS (PHDCN): HEALTH SCREEN, WAVE 2, 1997-2000 (ICPSR 13629), and PROJECT ON HUMAN DEVELOPMENT IN CHICAGO NEIGHBORHOODS (PHDCN): PRENATAL AND EARLY HEALTH, WAVE 2, 1997-2000 (ICPSR 13644). It was administered to primary caregivers in Cohorts 0, 3, 6, 9, and 12.

Separate tables for the last ten years of Community Data Snapshot releases (2015-2025) are provided for three geographic levels:The seven counties in the CMAP region (with regional total)The 284 municipalities in the CMAP regionThe 77 Chicago community areas (CCAs) There is limited geographic availability (particularly at the CCA level) for some variables. Additional information on availability and data sources are found in the CDS Data Dictionary. Looking to match human-friendly labels to field names? Use the CDS Data Dictionary Crosswalk.When using multiple releases of the snapshots, please don’t compare overlapping ACS 5-Year Estimates. The Census Bureau provides specific guidance for when it is appropriate to compare ACS data across time. CMAP uses the most recently available 5-Year Estimates, which are usually available on a two year lag:CDS release yearACS 5-Year Estimates data vintageCompare to previous CDS release year20252019-20232020, 201520242018-2022201920232017-2021201820222016-2020201720212015-2019201620202014-2018201520192013-2017 20182012-2016 20172011-2015 20162010-2014 20152009-2013 NOTE: Much of the data is from five-year American Community Survey, which is a sample-based data product. This means users must exercise caution when interpreting data from low-population municipalities, as the margins of error are often large compared to the estimate. Not sure which municipality or Chicago community area you want? Explore a community's data in the interactive dashboard.Are you looking for the PDF versions? Find and download the print-friendly Community Data Snapshots from the agency website.

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.

Comprehensive demographic dataset for Chinatown, Chicago, IL, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

This study used data from the first two waves of the Project on Human Development in Chicago Neighborhoods (PHDCN) to analyze the consequences of childhood exposure to intimate partner violence. The researcher for this study attempted to make four contributions: (1) provide theory driven research in the field of intimate partner violence, (2) do practical research, (3) strike a balance between the resolution of measurement problems and the examination of concrete outcomes, and (4) use high quality data and advanced statistical techniques to adjudicate between conflicting findings in existing literature. The nine data files used in this study were drawn from multiple imputed iterations using the Expectation-Maximization (E.M.) algorithm and data augmentation to address missing data. They included data from two waves of the PHDCN, with 4,955 records for each wave. The data included information for subjects aged 0 to 18 and covered the years 1994 to 2000. The researcher used various scales to measure domestic violence exposer, the impact of exposure on the child's cognitive functioning, the behavioral impact of exposure to domestic violence, anxiety, and the parent-child relationship. Data include the variables that the researcher used to study the effect of domestic violence exposure on not only externalizing, internalizing, and total behavior problems, and academic and cognitive ability, but also truancy, grade repetition, and drug use. This study also contains a selection of variables from several PHDCN studies including those pertaining to intimate partner violence, child abuse, juvenile delinquency, deviance of peers, alcohol use, primary caregiver involvement in the subject's life, and demographics.