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TwitterComprehensive demographic dataset for Chicago, IL, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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TwitterThe 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.
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Twitterhttp://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/
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.
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TwitterComprehensive 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.
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TwitterComprehensive 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.
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TwitterComprehensive 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.
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TwitterThe 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.
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Twitterhttps://www.icpsr.umich.edu/web/ICPSR/studies/13670/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/13670/terms
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.
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TwitterComprehensive 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.
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TwitterFile generated from running the Extract Data solution.
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TwitterComprehensive 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.
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Twitterhttps://www.icpsr.umich.edu/web/ICPSR/studies/13633/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/13633/terms
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.
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TwitterFinancial overview and grant giving statistics of Neighborhood Parents Network of Chicago
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TwitterThis 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.
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TwitterU.S. Government Workshttps://www.usa.gov/government-works
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Two previously released data collections from ICPSR are combined in this dataset: CHARACTERISTICS OF HIGH AND LOW CRIME NEIGHBORHOODS IN ATLANTA, 1980 (ICPSR 7951) and CRIME FACTORS AND NEIGHBORHOOD DECLINE IN CHICAGO, 1979 (ICPSR 7952). Information for ICPSR 7951 was obtained from 523 residents interviewed in six selected neighborhoods in Atlanta, Georgia. A research team from the Research Triangle Institute sampled and surveyed the residents. ICPSR 7952 contains 3,310 interviews of Chicago residents in eight selected neighborhoods. The combined data collection contains variables on topics such as residents' demographics and socioeconomic status, personal crime rates, property crime rates, neighborhood crime rates, and neighborhood characteristics. The documentation contains three pieces of information for each variable: variable reference numbers for both the Atlanta and Chicago datasets, the complete wording of the questions put to the respondents of each survey, and the exact wording of the coding schemes adopted by the researchers.
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Twitterhttps://www.icpsr.umich.edu/web/ICPSR/studies/4079/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/4079/terms
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.
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TwitterComprehensive demographic dataset for Central Chicago, Chicago, IL, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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AIC table for single explanatory variable linear models predicting native bird species richness, compared with a null model.
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TwitterTo improve access to capital, the City of Chicago seeded a $2MM revolving loan fund and partnered with Accion to create the Chicago Microlending Institute (CMI). CMI helped train two new local microlenders, Chicago Neighborhood Initiatives (CNI) and Women’s Business Development Corporation (WBDC), to help connect small businesses around the city to affordable access to capital. These microloans vary in size from $500 to $25,000 and the average loan size is around $10,000. This dataset reflects the lender, location, business industry, and borrower demographics for small businesses supported by the City’s revolving loan fund. Certain data elements could not be included on a per-loan basis for privacy reasons but are summarized in the https://data.cityofchicago.org/id/4s8s-adbr dataset.
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TwitterThis 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.
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TwitterComprehensive demographic dataset for Chicago, IL, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.