This statistic shows the top 25 cities in the United States with the highest resident population as of July 1, 2022. There were about 8.34 million people living in New York City as of July 2022.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the New Chicago median household income by race. The dataset can be utilized to understand the racial distribution of New Chicago income.
The dataset will have the following datasets when applicable
Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of New Chicago median household income by race. You can refer the same here
KML file of neighborhood boundaries in Chicago, as developed by the Office of Tourism. These boundaries are approximate and names are not official. To view or use these files, special GIS software, such as Google Earth, is required.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Chicago household income by gender. The dataset can be utilized to understand the gender-based income distribution of Chicago income.
The dataset will have the following datasets when applicable
Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of Chicago income distribution by gender. You can refer the same here
The Project on Human Development in Chicago Neighborhoods (PHDCN) is a large-scale, interdisciplinary study of how families, schools, and neighborhoods affect child and adolescent development. It was designed to advance the understanding of the developmental pathways of both positive and negative human social behaviors. In particular, the project examined the causes and pathways of juvenile delinquency, adult crime, substance abuse, and violence. At the same time, the project also provided a detailed look at the environments in which these social behaviors take place by collecting substantial amounts of data about urban Chicago, including its people, institutions, and resources. PHDCN was directed from the Harvard School of Public Health, and funded by the John D. and Catherine T. MacArthur Foundation, the National Institute of Justice, the National Institute of Mental Health, the U.S. Department of Education, and the Administration for Children, Youth and Families. The project design consisted of two major components. The first was an intensive study of Chicago's neighborhoods, particularly the social, economic, organizational, political, and cultural structures and the dynamic changes that take place in the structures over time. The second component was a series of coordinated longitudinal studies that followed over 6,000 randomly selected children, adolescents, and young adults 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. For more information about the PHDCN series, please visit NACJD's PHDCN Resource Guide.
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 subject and young adult version of the Major Depressive Disorder instrument, which was administered to subjects for Cohorts 6, 9, 12, and 15. The instrument was adapted from the Depression module of the Diagnostic Interview Schedule for Children (DISC 4) and obtained information regarding subjects' depression. It is closely related to PROJECT ON HUMAN DEVELOPMENT IN CHICAGO NEIGHBORHOODS (PHDCN): MAJOR DEPRESSIVE DISORDER (SUBJECT), WAVE 2, 1997-2000 (ICPSR 13637).
In 2023, the GDP of the Chicago-Naperville-Elgin metropolitan area amounted to ****** billion chained 2017 U.S. dollars. The GDP of the United States since 1990 can be accessed here. Economic growth and unemployment in Chicago Economic growth in Chicago, measured by the growth in Gross Domestic Product (GDP), was significant in the years between 2001 and 2022. This growth occurred in a period of growth for cities nationally as seen by growth of other major American cities such as Los Angeles and San Francisco. In contrast to Chicago’s growth, San Francisco’s growth rate demonstrated the effect of a new and booming industry. The influence of technology and internet companies saw San Francisco grow nearly ** percent in comparison to the ** percent growth in GDP achieved by Chicago. As a result, Chicago-Naperville-Elgin ranked third in Gross Metropolitan Product of the United States, by metropolitan area in 2022. The drop in GDP output in 2020 can be attributed to the COVID-19 pandemic.
In 2023, the metropolitan area of New York-Newark-Jersey City had the biggest population in the United States. Based on annual estimates from the census, the metropolitan area had around 19.5 million inhabitants, which was a slight decrease from the previous year. The Los Angeles and Chicago metro areas rounded out the top three. What is a metropolitan statistical area? In general, a metropolitan statistical area (MSA) is a core urbanized area with a population of at least 50,000 inhabitants – the smallest MSA is Carson City, with an estimated population of nearly 56,000. The urban area is made bigger by adjacent communities that are socially and economically linked to the center. MSAs are particularly helpful in tracking demographic change over time in large communities and allow officials to see where the largest pockets of inhabitants are in the country. How many MSAs are in the United States? There were 421 metropolitan statistical areas across the U.S. as of July 2021. The largest city in each MSA is designated the principal city and will be the first name in the title. An additional two cities can be added to the title, and these will be listed in population order based on the most recent census. So, in the example of New York-Newark-Jersey City, New York has the highest population, while Jersey City has the lowest. The U.S. Census Bureau conducts an official population count every ten years, and the new count is expected to be announced by the end of 2030.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the median household income in New Chicago. It can be utilized to understand the trend in median household income and to analyze the income distribution in New Chicago by household type, size, and across various income brackets.
The dataset will have the following datasets when applicable
Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of New Chicago median household income. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the West Chicago median household income by race. The dataset can be utilized to understand the racial distribution of West Chicago income.
The dataset will have the following datasets when applicable
Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of West Chicago median household income by race. You can refer the same here
Contemporary cities are frequently characterized as divided by race and socio-economic status, yet the political effects of segregation and stratification are rarely fully explored. Urban politics scholars have disagreed on whether urban politics is essentially consensual, conflicts are issue-based and transitory, or social and economic divides generate enduring political cleavages. We contribute to this debate with an analysis of elite conflict as manifested in recorded city council votes in two large, heterogeneous North American cities, Chicago and Toronto, over a multi-decade period. The analysis employs a new technique for analyzing the dimensionality of roll-call votes. We find evidence of durable coordination among ward councilors in both cities, however the substance of conflict differs. Correlating the dimensions of voting behavior with ward characteristics indicates that Chicago’s aldermen divide on racial lines, while Toronto’s councilors primarily divide on the place characteristics of wards, and secondarily on socio-economic status and ethnicity.
https://www.illinois-demographics.com/terms_and_conditionshttps://www.illinois-demographics.com/terms_and_conditions
A dataset listing Illinois zip codes by population for 2024.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual diversity score from 2005 to 2009 for Big Picture High School - Metro vs. Illinois and City Of Chicago School District 299
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the South Chicago Heights median household income by race. The dataset can be utilized to understand the racial distribution of South Chicago Heights income.
The dataset will have the following datasets when applicable
Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of South Chicago Heights median household income by race. You can refer the same here
In 2023, Chicago was the U.S. city with the most mobile shoppers on Poshmark, a social commerce marketplace for new and second-hand products. Over 15,000 mobile users of the Poshmark app were located in Chicago, Illinois. Los Angeles, California had the second largest mobile audience in the U.S., with nearly 13,000 mobile shoppers.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual hispanic student percentage from 2006 to 2009 for Big Picture High School - Metro vs. Illinois and City Of Chicago School District 299
https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de446791https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de446791
Abstract (en): 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. Project on Human Development in Chicago Neighborhoods 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. It was designed to advance the understanding of the developmental pathways of both positive and negative human social behaviors. In particular, the project examined the causes and pathways of juvenile delinquency, adult crime, substance abuse, and violence. At the same time, the project provided a detailed look at the environments in which these social behaviors took place by collecting substantial amounts of data about urban Chicago, including its people, institutions, and resources. Longitudinal Cohort Study 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. The age cohorts include birth (0), 3, 6, 9, 12, 15, and 18 years. Numerous measures were administered to respondents to gauge various aspects of human development, including individual differences, as well as family, peer, and school influences. Addendum (Primary Caregiver) The data in this collection are from Wave 3 of the Longitudinal Cohort Study, which was administered between 2000 and 2002. The data files contain information from the Addendum (Primary Caregiver) protocol. The Addendum (Primary Caregiver) instrument was administered to primary caregivers included in Wave 3 but not in Wave 2, and it consisted of measures or portions of measures from the Wave 2 interview. Project on Human Development in Chicago Neighborhoods The city of Chicago was selected as the research site for the PHDCN because of its extensive racial, ethnic, and social-class diversity. The project collapsed 847 census tracts in the city of Chicago into 343 neighborhood clusters (NCs) based upon seven groupings of racial/ethnic composition and three levels of socioeconomic status. The NCs were designed to be ecologically meaningful. They were composed of geographically contiguous census tracts, and geographic boundaries, and knowledge of Chicago's neighborhoods were considered in the definition of the NCs. Each NC was comprised of approximately 8,000 people. Longitudinal Cohort Study For the Longitudinal Cohort Study, a stratified probability sample of 80 neighborhoods was selected. The 80 NCs were sampled from the 21 strata (s...
https://www.illinois-demographics.com/terms_and_conditionshttps://www.illinois-demographics.com/terms_and_conditions
A dataset listing Illinois counties by population for 2024.
https://www.icpsr.umich.edu/web/ICPSR/studies/13578/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/13578/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 Systematic Social Observation (SSO). The SSO was a standardized approach for directly observing the physical, social, and economic characteristics of neighborhoods, one block at a time. In 1995, the PHDCN initiated a combined person-based and videotaped approach to collecting systematic observations of neighborhoods. Eighty of the 343 Neighborhood Clusters were used in this study. Once the sampling was complete, the block face (the block segment on one side of the street) became the unit of observation. Using videotape and observer logs, data were collected in the 80 sampled Chicago neighborhoods. Only a sample of block faces were selected for coding due to budget expenses. The National Opinion Research Center (NORC) collected the data for the SSO. Between June and October of 1995, trained observers from NORC drove a sports utility vehicle down every block within the 80 sampled neighborhoods. A videographer videotaped both sides of each block, while two observers recorded characteristics of each block face on observer logs. Further coding of the videotapes and observer logs was conducted by NORC staff.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual black student percentage from 2004 to 2009 for Big Picture High School - Metro vs. Illinois and City Of Chicago School District 299
This statistic shows the top 25 cities in the United States with the highest resident population as of July 1, 2022. There were about 8.34 million people living in New York City as of July 2022.