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Context
The dataset tabulates the Non-Hispanic population of South Chicago Heights by race. It includes the distribution of the Non-Hispanic population of South Chicago Heights across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of South Chicago Heights across relevant racial categories.
Key observations
Of the Non-Hispanic population in South Chicago Heights, the largest racial group is Black or African American alone with a population of 1,321 (50.44% of the total Non-Hispanic population).
https://i.neilsberg.com/ch/south-chicago-heights-il-population-by-race-and-ethnicity.jpeg" alt="South Chicago Heights Non-Hispanic population by race">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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/.
This dataset is a part of the main dataset for South Chicago Heights Population by Race & Ethnicity. You can refer the same here
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This dataset tracks annual black student percentage from 2019 to 2023 for Learn Chtr - South Chicago Campus vs. Illinois and Chicago Public Schools District 299
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Context
The dataset tabulates the population of South Chicago Heights by race. It includes the population of South Chicago Heights across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of South Chicago Heights across relevant racial categories.
Key observations
The percent distribution of South Chicago Heights population by race (across all racial categories recognized by the U.S. Census Bureau): 39.07% are white, 35.13% are Black or African American, 0.74% are Asian, 19.93% are some other race and 5.13% are multiracial.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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/.
This dataset is a part of the main dataset for South Chicago Heights Population by Race & Ethnicity. You can refer the same here
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This dataset tracks annual black student percentage from 2019 to 2020 for Ombudsman Chicago South vs. Illinois and Chicago Public Schools District 299
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This dataset tracks annual black student percentage from 1991 to 2023 for Woodson South Elementary School vs. Illinois and Chicago Public Schools District 299
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This dataset tracks annual black student percentage from 2012 to 2023 for South Shore Intl Col Prep High School vs. Illinois and Chicago Public Schools District 299
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In the wake of a nationwide controversy over policing, we've decided to study one of the largest police departments in the United States: the Chicago Police Department (CPD). Thanks to the Invisible Institute, a non-profit journalism organization, we acquired and analyzed comprehensive data on police brutality in Chicago. However, there is still much to consider:
What effects do education, income, and marital status have on crime rates and policing patterns? Is the CPD allocating its resources in the most effective manner? Who are the people being policed?
With detailed demographic data, we can more confidently explore these difficult questions.
A beat is a subdivision of a police district. See more here and here
beatpop.txt: population and square mileage
beathh.txt: number of households
beatage.txt: populations of age groups
beatrace.txt: populations of ethnic groups
beathi.txt: average median household income
beatfs.txt: number on food stamps
beatea.txt: number with bachelor's, HS diploma, and none
beatse.txt: number enrolled in some school by age
Even Lines > 1: beat name Odd Lines > 1: White, Hispanic, Black, Asian, Mixed, Other populations
beathi.txt
Lines > 1: beat name, average median household income
beatfs.txt
Lines > 1: beat name, number living on food stamps
We acquired 2 GeoJSON files describing block group and beat boundaries. Using each geographical division has its distinct benefit: block groups have corresponding census data; beats are used in police records.
We then created two 10,000x10,000 arrays of strings, one for each division, where each position (or pixel) represents a 13.8x13.8 ft region of Chicago, and each string assigns that pixel to its block group / beat. The scalings for the two arrays are the same, meaning that pixel (x, y) in the block group array is geographically identical to (x, y) in the beat array.
https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1718624%2F30d6995d49d129bf86f0a7a20541721e%2Fbgs.png?generation=1595103318202402&alt=media%20=500x500" alt="">
https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1718624%2Fedadcf95d70d3ace473dab02fc440255%2Fbeats.png?generation=1595103442331258&alt=media%20=500x500" alt="">
Each 10,000x10,000 array converted to an image, with each division receiving a unique color. Block groups (L), beats (R)
We scraped each block group's demographic data from [3]. Under the simplifying assumption that any two pixels within the same block group have the same data, we "distributed" each block group's data among its constituent pixels. Lastly, we calculated the data for each beat by "summing up" the data of its constituent pixels.
1) The above procedure of "distributing" and "summing up" data, which enables the conversion from block groups to beats, is an approximation. However, since beats are much larger than block groups (as can be seen in the above maps), we have sufficient reason to trust the accuracy of this approximation method. See the Accuracy section for more details.
2) The CPD has made slight changes to its beat boundaries over the years. The beats described in this dataset are up-to-date. This data still can be used with older police records, but with minor hiccups for a few beats.
The main cause of errors in our data is the imperfect overlapping between block group and beat boundaries. Such overlapping is broken into 2 groups: 1) those along Chicago's boundaries; and 2) those within Chicago's boundaries.
We checked for the impact of 1) by "adding up" the estimated data for each beat and cross-referencing them to Chicago's totals (e.g. adding every beat's population, and comparing the sum to Chicago's population). Since many block groups straddle Chicago's borders, how well our approximation algorithm handles their data determines the accuracy of our totals. We calculated percentage errors between our totals and those from [3], finding that none exceeded 2% (see ERRORLOG.txt for more details). Thus, our data is, for the large part, clear of errors caused by 1).
Since inaccuracies committed by our algorithm within Chicago's boundaries have no impact on our totals, the above method can't find any inaccuracies caused by 2). Indeed, since there exists no official demographic data for beats, it's probably impossible to precisely check for this. The best we could do was to create map...
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Context
The dataset presents the median household income across different racial categories in South Chicago Heights. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.
Key observations
Based on our analysis of the distribution of South Chicago Heights population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 38.81% of the total residents in South Chicago Heights. Notably, the median household income for White households is $54,831. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $54,831.
https://i.neilsberg.com/ch/south-chicago-heights-il-median-household-income-by-race.jpeg" alt="South Chicago Heights median household income diversity across racial categories">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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/.
This dataset is a part of the main dataset for South Chicago Heights median household income by race. You can refer the same here
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Historical Dataset of Ombudsman Chicago South is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2019-2020),Total Classroom Teachers Trends Over Years (2019-2023),Student-Teacher Ratio Comparison Over Years (2019-2020),Hispanic Student Percentage Comparison Over Years (2019-2020),Black Student Percentage Comparison Over Years (2019-2020),White Student Percentage Comparison Over Years (2019-2020),Diversity Score Comparison Over Years (2019-2020),Free Lunch Eligibility Comparison Over Years (2019-2020)
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Context
The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in South Chicago Heights. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2011 and 2021, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..
Key observations
https://i.neilsberg.com/ch/south-chicago-heights-il-median-household-income-by-race-trends.jpeg" alt="South Chicago Heights, IL median household income trends across races (2011-2021, in 2022 inflation-adjusted dollars)">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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/.
This dataset is a part of the main dataset for South Chicago Heights median household income by race. You can refer the same here
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This dataset tracks annual black student percentage from 2012 to 2013 for Banner South Academy High School vs. Illinois and Chicago Public Schools District 299
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This dataset tracks annual black student percentage from 2019 to 2023 for Cics - Avalon/south Shore vs. Illinois and Chicago Public Schools District 299
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This dataset tracks annual black student percentage from 1990 to 2014 for South Elementary School vs. Illinois and North Chicago School District 187
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This dataset tracks annual black student percentage from 2008 to 2011 for Idochealy South High School vs. Illinois and Chicago Public Schools District 299
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This dataset tracks annual black student percentage from 1988 to 2004 for Raymond Elementary School vs. Illinois and Chicago Public Schools District 299
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Historical Dataset of Banner South Academy High School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2012-2013),Distribution of Students By Grade Trends,Hispanic Student Percentage Comparison Over Years (2012-2013),Black Student Percentage Comparison Over Years (2012-2013),Diversity Score Comparison Over Years (2012-2013),Free Lunch Eligibility Comparison Over Years (2012-2013)
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This dataset tracks annual black student percentage from 1989 to 2009 for Abbott Elementary School vs. Illinois and Chicago Public Schools District 299
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Historical Dataset of South Shore Community Academy High School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1987-2005),Total Classroom Teachers Trends Over Years (1988-2006),Student-Teacher Ratio Comparison Over Years (1987-2005),Black Student Percentage Comparison Over Years (1989-2005),Free Lunch Eligibility Comparison Over Years (2002-2005),Reduced-Price Lunch Eligibility Comparison Over Years (2002-2005)
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Non-Hispanic population of South Chicago Heights by race. It includes the distribution of the Non-Hispanic population of South Chicago Heights across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of South Chicago Heights across relevant racial categories.
Key observations
Of the Non-Hispanic population in South Chicago Heights, the largest racial group is Black or African American alone with a population of 1,321 (50.44% of the total Non-Hispanic population).
https://i.neilsberg.com/ch/south-chicago-heights-il-population-by-race-and-ethnicity.jpeg" alt="South Chicago Heights Non-Hispanic population by race">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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/.
This dataset is a part of the main dataset for South Chicago Heights Population by Race & Ethnicity. You can refer the same here