About this dataset

Context

The dataset tabulates the Non-Hispanic population of Chicago by race. It includes the distribution of the Non-Hispanic population of Chicago across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Chicago across relevant racial categories.

Key observations

Of the Non-Hispanic population in Chicago, the largest racial group is White alone with a population of 872,159 (45.76% of the total Non-Hispanic population).

Content

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:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Chicago
• Population: The population of the racial category (for Non-Hispanic) in the Chicago is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Chicago total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Chicago Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the Non-Hispanic population of North Chicago by race. It includes the distribution of the Non-Hispanic population of North Chicago across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of North Chicago across relevant racial categories.

Key observations

Of the Non-Hispanic population in North Chicago, the largest racial group is White alone with a population of 8,756 (46.37% of the total Non-Hispanic population).

Content

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:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the North Chicago
• Population: The population of the racial category (for Non-Hispanic) in the North Chicago is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of North Chicago total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for North Chicago Population by Race & Ethnicity. You can refer the same here

This statistic shows the population of Chicago, Illinois in 2023, by race. In 2023, there were approximately ******* white residents of Chicago.

About this dataset

Context

The dataset tabulates the population of Chicago by race. It includes the population of Chicago across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Chicago across relevant racial categories.

Key observations

The percent distribution of Chicago population by race (across all racial categories recognized by the U.S. Census Bureau): 39.05% are white, 28.42% are Black or African American, 0.91% are American Indian and Alaska Native, 7.13% are Asian, 0.06% are Native Hawaiian and other Pacific Islander, 12.39% are some other race and 12.04% are multiracial.

Content

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:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Chicago
• Population: The population of the racial category (excluding ethnicity) in the Chicago is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Chicago total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Chicago Population by Race & Ethnicity. You can refer the same here

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.

Selected variables from the most recent 5 year ACS Community Survey (Released 2023) aggregated by Ward. Additional years will be added as they become available.

The underlying algorithm to create the dataset calculates the percent of a census tract that falls within the boundaries of a given ward. Given that census tracts and ward boundaries are not aligned, these figures should be considered an estimate.

Total Population in this Dataset: 2,649,803 Total Population of Chicago reported by ACS 2023: 2,664,452 % Difference: %-0.55

There are different approaches in common use for displaying Hispanic or Latino population counts. In this dataset, following the approach taken by the Census Bureau, a person who identifies as Hispanic or Latino will also be counted in the race category with which they identify. However, again following the Census Bureau data, there is also a column for White Not Hispanic or Latino.

The City of Chicago is actively soliciting community input on how best to represent race, ethnicity, and related concepts in its data and policy. Every dataset, including this one, has a "Contact dataset owner" link in the Actions menu. You can use it to offer any input you wish to share or to indicate if you would be interested in participating in live discussions the City may host.

Code can be found here: https://github.com/Chicago/5-Year-ACS-Survey-Data

Ward Shapefile:

https://data.cityofchicago.org/Facilities-Geographic-Boundaries/Boundaries-Wards-2023-Map/cdf7-bgn3

Census Area Python Package Documentation:

https://census-area.readthedocs.io/en/latest/index.html

This statistic shows the population of Chicago, IL in 2023, by age and sex. There were ****** male and ****** female residents under the age of five living in Chicago in 2023.

The Chicago Population Counts dataset offers a snapshot of population totals categorized into common groupings. Drawing from data sources such as the U.S. Census Bureau's American Community Survey (ACS), this dataset provides insights into the population distribution across different age groups and areas within Chicago. However, due to overlapping age categories, caution is advised when summing values. As a valuable resource for urban planners, researchers, policymakers, and community advocates, this dataset aids in understanding demographic trends and informing decisions that impact Chicago's diverse population.

Use and Application: Urban planners can use this dataset to analyze population distribution across different age groups, helping to guide infrastructure planning, social services, and community development projects. Researchers can study changes in population counts over time and correlate them with various socio-economic factors. Policymakers can leverage the data to inform decisions on resource allocation, public services, and programs tailored to specific demographic groups. Community organizations can use the data to advocate for equitable resource distribution and address the needs of different population segments. By offering insights into Chicago's demographic landscape, this dataset supports informed decision-making, policy formulation, and community engagement efforts in the city.

About this dataset

Context

The dataset tabulates the population of East Chicago by race. It includes the population of East Chicago across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of East Chicago across relevant racial categories.

Key observations

The percent distribution of East Chicago population by race (across all racial categories recognized by the U.S. Census Bureau): 16.12% are white, 37.35% are Black or African American, 0.34% are American Indian and Alaska Native, 0.12% are Asian, 35.27% are some other race and 10.80% are multiracial.

Content

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:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the East Chicago
• Population: The population of the racial category (excluding ethnicity) in the East Chicago is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of East Chicago total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for East Chicago Population by Race & Ethnicity. You can refer the same here

Comprehensive demographic dataset for West 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 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.

Background

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.

Content (to be expanded)

A beat is a subdivision of a police district. See more here and here

General Data

beatpop.txt: population and square mileage

beathh.txt: number of households

Demographic Data

beatage.txt: populations of age groups

beatrace.txt: populations of ethnic groups

Socioeconomic Data

beathi.txt: average median household income

beatfs.txt: number on food stamps

Educational Data

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

Median Household Income

beathi.txt

Lines > 1: beat name, average median household income

Population Living on Food Stamps

beatfs.txt

Lines > 1: beat name, number living on food stamps

Methods

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.

Caveats

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.

Accuracy

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...

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.

About this dataset

Context

The dataset tabulates the Non-Hispanic population of East Chicago by race. It includes the distribution of the Non-Hispanic population of East Chicago across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of East Chicago across relevant racial categories.

Key observations

Of the Non-Hispanic population in East Chicago, the largest racial group is Black or African American alone with a population of 9,531 (83.69% of the total Non-Hispanic population).

Content

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:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the East Chicago
• Population: The population of the racial category (for Non-Hispanic) in the East Chicago is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of East Chicago total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for East Chicago Population by Race & Ethnicity. You can refer the same here

In 2023, the population of the Chicago-Naperville-Elgin metropolitan area in the United States was about 9.26 million people. This was a slight decrease from the previous year, which was about 9.27 million.

Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, Two or More Races, Two Races Including Some Other Race (5-year estimate) in DuPage County, IL (B03002010E017043) from 2009 to 2024 about Du Page County, IL; Chicago; IL; non-hispanic; estimate; 5-year; population; persons; and USA.

About this dataset

Context

The dataset tabulates the population of New Chicago by race. It includes the population of New Chicago across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of New Chicago across relevant racial categories.

Key observations

The percent distribution of New Chicago population by race (across all racial categories recognized by the U.S. Census Bureau): 66.48% are white, 2.04% are Black or African American, 1.15% are Asian, 1.41% are Native Hawaiian and other Pacific Islander, 5.37% are some other race and 23.55% are multiracial.

Content

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:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the New Chicago
• Population: The population of the racial category (excluding ethnicity) in the New Chicago is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of New Chicago total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for New Chicago Population by Race & Ethnicity. You can refer the same here

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.

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

Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, Two or More Races, Two Races Excluding Some Other Race, and Three or More Races (5-year estimate) in Kenosha County, WI (B03002011E055059) from 2009 to 2024 about Kenosha County, WI; Chicago; WI; non-hispanic; estimate; 5-year; population; persons; and USA.