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.

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.

This dataset contains a selection of six socioeconomic indicators of public health significance and a “hardship index,” by Chicago community area, for the years 2007 – 2011. The indicators are the percent of occupied housing units with more than one person per room (i.e., crowded housing); the percent of households living below the federal poverty level; the percent of persons in the labor force over the age of 16 years that are unemployed; the percent of persons over the age of 25 years without a high school diploma; the percent of the population under 18 or over 64 years of age (i.e., dependency); and per capita income. Indicators for Chicago as a whole are provided in the final row of the table. See the full dataset description for more information at https://data.cityofchicago.org/api/assets/8D10B9D1-CCA3-4E7E-92C7-5125E9AB46E9.

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.

Comprehensive demographic dataset for Streeterville, 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 Employment and Income Interview was an atypical measure in that its primary concern was not to evaluate the developmental circumstances but rather to assess the economic circumstances surrounding the subjects. The Employment and Income Interview was administered to the subjects' primary caregivers for Cohorts 0, 3, 6, 9, 12, and 15 and to the subjects themselves for Cohort 18. The Employment and Income Interview was developed specifically for the PHDCN Longitudinal Cohort Study with the intent of combining the employment and income data obtained with educational status data to create socioeconomic stratifications for the respondents. The Employment and Income Interview sought to obtain data describing the respondent's current or most recent employment and that of his or her partner. The Employment and Income Interview also sought information regarding primary income and additional sources of income as well total working hours, proximity to work, and means of transportation to work for both the respondent and his or her partner.

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.

This dataset contains a selection of six socioeconomic indicators of public health significance and a “hardship index,” by Chicago community area, for the years 2008 – 2012. The indicators are the percent of occupied housing units with more than one person per room (i.e., crowded housing); the percent of households living below the federal poverty level; the percent of persons in the labor force over the age of 16 years that are unemployed; the percent of persons over the age of 25 years without a high school diploma; the percent of the population under 18 or over 64 years of age (i.e., dependency); and per capita income. Indicators for Chicago as a whole are provided in the final row of the table. See the full dataset description for more information at: https://data.cityofchicago.org/api/views/fwb8-6aw5/files/A5KBlegGR2nWI1jgP6pjJl32CTPwPbkl9KU3FxlZk-A?download=true&filename=P:\EPI\OEPHI\MATERIALS\REFERENCES\ECONOMIC_INDICATORS\Dataset_Description_socioeconomic_indicators_2012_FOR_PORTAL_ONLY.pdf

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

This data collection is the first wave of an intensive study in Boston, Chicago, and San Antonio, which was initiated to assess the well-being of low-income children and families in the post-welfare reform era. The project investigates the strategies families have used to respond to reform, in terms of employment, schooling or other forms of training, residential mobility, and fertility. Central to this project is a focus on how these strategies affect children's lives, with an emphasis on their health and development as well as their need for, and use of, social services. For the first wave of the study, between March 1999 and December 1999, a random sample of approximately 2,400 households with children in low-income neighborhoods in Boston, Chicago, and San Antonio were selected for interviews. Forty percent of the families interviewed were receiving cash welfare payments at the time of the interview. Each household had a child aged 0 to 4 or aged 10 to 14 at the time of the interview. The child and the child's primary female caregiver are the focus of the study. Extensive baseline information was gathered at the initial personal interview with the caregivers, tested younger children were assessed, and older children were interviewed. All interviews were conducted in-person using a computerized instrument. The third wave of data collection took place between February 2005 and January 2006, when the focal children were aged 5 to 10 or aged 15 to 20. Between May 2005 and May 2006, interviews were conducted with the teachers of the focal children.

The objective of this project is to create a story map that highlights and narrates the history of flooding in Chicago. It will map hydrology, rainfall patterns, floods, and income levels. It will draw from this how different socioeconomic regions and neighborhoods differ in flood response and action. This project will be used to justify a possible green bond for flooding mitigation in low income houses in Chicago.

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

This data collection is the third wave of an intensive study in Boston, Chicago, and San Antonio, which was initiated to assess the well-being of low-income children and families in the post-welfare reform era. The project investigates the strategies families have used to respond to reform, in terms of employment, schooling or other forms of training, residential mobility, and fertility. Central to this project is a focus on how these strategies affect children's lives, with an emphasis on their health and development as well as their need for, and use of, social services. For the first wave of the study, between March 1999 and December 1999, a random sample of approximately 2,400 households with children in low-income neighborhoods in Boston, Chicago, and San Antonio were selected for interviews. Forty percent of the families interviewed were receiving cash welfare payments at the time of the interview. Each household had a child aged 0 to 4 or aged 10 to 14 at the time of the interview. The child and the child's primary female caregiver are the focus of the study. Extensive baseline information was gathered at the initial personal interview with the caregivers, tested younger children were assessed, and older children were interviewed. All interviews were conducted in-person using a computerized instrument. The third wave of data collection took place between February 2005 and January 2006, when the focal children were aged 5 to 10 or aged 15 to 20. Between May 2005 and May 2006, interviews were conducted with the teachers of the focal children.

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

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. The accompanying datasets include the block- and tract-level data used to conduct the analysis. R and Python scripts for calculating morphometrics, conducting unsupervised classification, and conducting the descriptive statistics and regression analysis at the census block and census tract levels are also included.

To advance ON TO 2050’s commitment to inclusive growth, CMAP has defined Economically Disconnected and Disinvested Areas within the region. Economically Disconnected Areas (EDAs) identify areas with concentrations of both low-income households and population of color or limited English proficiency population; approximately one-third of the region’s population lives in EDAs. Disinvested Areas (DAs) outline primarily nonresidential places with long-term declines in employment and other markers of commercial market weakness. Together, EDA and DA communities experience a persistent, long-term lack of market investment, leading to declining property values, taxes, employment, and, frequently, population. Disinvestment often constrains the ability of any individual community to respond effectively to these losses, and high tax rates and low market potential limit private investment. For these reasons, these geographies should be examined both separately and together. While some policy solutions will be common to both geographies, other solutions may be unique to each geography.More information can be found on CMAP's Economically Disconnected and Disinvested Areas webpage.Data sources are detailed in the methodology documents linked below:EDA MethodologyDisinvested Areas MethodologyInclusive Growth Strategy PaperReinvestment and Infill Strategy Paper

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