Comprehensive demographic dataset for Downtown Chicago, 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 data for the Chicago, IL population pyramid, which represents the Chicago population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Chicago, IL, is 23.5.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Chicago, IL, is 19.5.
• Total dependency ratio for Chicago, IL is 43.0.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Chicago, IL is 5.1.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Chicago population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Chicago for the selected age group is shown in the following column.
• Population (Female): The female population in the Chicago for the selected age group is shown in the following column.
• Total Population: The total population of the Chicago for the selected age group is shown in the following column.

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 Age. You can refer the same here

Graph and download economic data for Resident Population in Chicago-Naperville-Elgin, IL-IN-WI (MSA) (CHIPOP) from 2000 to 2022 about Chicago, WI, IN, IL, residents, population, and USA.

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.

Population totals for groupings commonly used in other datasets.

Not all values are available for all years.

Note that because the "Citywide" rows roll up the values from the individual ZIP Codes and the "Age 0-4," "Age 5-11," "Age 12-17," "Age 5+," "Age 18+," and "Age 65+" columns overlap other age categories, as well as each other in some cases, care should be taken in summing values to avoid accidental double-counting. The "Age 5-11" and "Age 12-17" columns only include children who live in households.

Data Sources: U.S. Census Bureau American Community Survey (ACS) 5-year estimates (ZIP Code) and 1-year estimates (Citywide). The U.S. Census Bureau did not release standard 1-year estimates from the 2020 ACS. In 2020 only, 5-year estimates were used for the Citywide estimates.

About this dataset

Context

The dataset tabulates the Chicago population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Chicago across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Chicago was 2.66 million, a 0.31% decrease year-by-year from 2022. Previously, in 2022, Chicago population was 2.67 million, a decline of 1.16% compared to a population of 2.7 million in 2021. Over the last 20 plus years, between 2000 and 2023, population of Chicago decreased by 231,271. In this period, the peak population was 2.9 million in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Chicago is shown in this column.
• Year on Year Change: This column displays the change in Chicago population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Year. 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.

About this dataset

Context

The dataset tabulates the data for the New Chicago, IN population pyramid, which represents the New Chicago population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for New Chicago, IN, is 41.3.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for New Chicago, IN, is 15.7.
• Total dependency ratio for New Chicago, IN is 57.1.
• Potential support ratio, which is the number of youth (working age population) per elderly, for New Chicago, IN is 6.4.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the New Chicago population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the New Chicago for the selected age group is shown in the following column.
• Population (Female): The female population in the New Chicago for the selected age group is shown in the following column.
• Total Population: The total population of the New Chicago for the selected age group is shown in the following column.

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 Age. You can refer the same here

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.

About this dataset

Context

The dataset tabulates the population of Chicago by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Chicago across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of female population, with 51.46% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Chicago is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender 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

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.

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.

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

About this dataset

Context

The dataset tabulates the Chicago population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Chicago. The dataset can be utilized to understand the population distribution of Chicago by age. For example, using this dataset, we can identify the largest age group in Chicago.

Key observations

The largest age group in Chicago, IL was for the group of age 25 to 29 years years with a population of 271,848 (10.04%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Chicago, IL was the 80 to 84 years years with a population of 40,657 (1.50%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Chicago is shown in this column.
• % of Total Population: This column displays the population of each age group 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 Age. 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.

Graph and download economic data for Resident Population in Federal Reserve District 7: Chicago (D7POP) from 1970 to 2025 about FRB CHI District, residents, population, and USA.

About this dataset

Context

The dataset tabulates the Chicago population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Chicago across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2022, the population of Chicago was 2,665,039, a 1.22% decrease year-by-year from 2021. Previously, in 2021, Chicago population was 2,698,029, a decline of 1.53% compared to a population of 2,740,076 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Chicago decreased by 230,684. In this period, the peak population was 2,895,723 in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Chicago is shown in this column.
• Year on Year Change: This column displays the change in Chicago population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Year. You can refer the same here

Comprehensive demographic dataset for Old Town 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...

This map shows the population density in Chicago by census tracts in 2010. Population Density is measured by people per square mile. The red shape that pops up in the map is the location of DePaul University's Department of Geography.