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

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 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 South Shore, 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.

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

The goal of this mixed-methods study was to evaluate the effectiveness of community based cross-age mentoring to reduce negative outcomes related to violence exposure/engagement and promote positive development among African-American and Latinx youth from multiple sites serving four low-income, high violence urban neighborhoods, using youth mentors from the same high-risk environment. The program was named by youth mentors, "Saving Lives, Inspiring Youth" (or SLIY henceforth). Cross-age peer mentoring programs promise to solve problems and ineffectiveness of other types of mentoring programs, but few have been systematically studied in high-poverty, high-crime communities. In collaboration with several community organizations, a prospective approach was implemented to follow cross-age mentors and mentees for up to one year of mentoring. Both quantitative and qualitative methods were employed to examine possible changes in a number of relevant constructs, and to understand program impact in greater depth. Mentoring sessions lasting one hour took place each week, with an hour debriefing session for mentors following each mentoring session. Quantitative data were collected pre, post and at a 9-12 month follow-up. Throughout the mentoring intervention, several forms of qualitative data were gathered to make it possible for youth voices to permeate understanding findings, to illuminate program processes that youth perceived as helpful and not helpful, and to provide multiple perspectives on youths' resilience and their understanding of the risks they faced. Both mentors and community collaborators were trained and engaged as community researchers. School-based data were also collected. Demographic variables include participants' age, race, and grade in school.

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 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.

Comprehensive demographic dataset for Englewood, 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 Dearborn Park, 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 Little Italy, 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 Park, 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 Park, 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 Roscoe Village, 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.