This dataset tracks annual diversity score from 2001 to 2023 for Univ Of Chicago Charter Schools vs. Illinois and City Of Chicago School District 299

This dataset tracks annual diversity score from 2005 to 2023 for Chicago Math & Sci Elementary Charter vs. Illinois and Chicago Public Schools Dist 299 School District

This dataset tracks annual diversity score from 2019 to 2023 for Univ Of Chicago Chtr-nth Kenwood vs. Illinois and Chicago Public Schools Dist 299 School District

This dataset tracks annual diversity score from 1997 to 2023 for Chicago Vocational Career Academy High School vs. Illinois and Chicago Public Schools Dist 299 School District

This dataset tracks annual diversity score from 1991 to 2023 for Chicago World Language Academy vs. Illinois and Chicago Public Schools Dist 299 School District

This dataset tracks annual diversity score from 2003 to 2023 for Chicago Academy Elementary School vs. Illinois and Chicago Public Schools Dist 299 School District

This dataset tracks annual diversity score from 1991 to 2023 for Chicago High School For Agricult Sciences vs. Illinois and Chicago Public Schools Dist 299 School District

This dataset tracks annual diversity score from 2019 to 2023 for Kipp Chicago Chrtrs Bloom Campus vs. Illinois and Chicago Public Schools Dist 299 School District

This dataset tracks annual diversity score from 1991 to 2023 for Mosaic School Of Fine Arts vs. Illinois and Chicago Public Schools Dist 299 School District

This dataset tracks annual diversity score from 2008 to 2020 for Chicago Virtual Charter School vs. Illinois and City Of Chicago School District 299

This dataset tracks annual diversity score from 2002 to 2023 for Iyc Chicago vs. Illinois and Idjj Sch Dist 428 School District

This dataset tracks annual diversity score from 2019 to 2023 for Learn Chtr - South Chicago Campus vs. Illinois and Chicago Public Schools Dist 299 School District

This dataset tracks annual diversity score from 1991 to 2023 for Chicago Ridge SD 127-5 School District vs. Illinois

This dataset tracks annual diversity score from 1991 to 2023 for Chicago Heights SD 170 School District vs. Illinois

This dataset tracks annual diversity score from 1993 to 2023 for North Chicago Community High School vs. Illinois and North Chicago SD 187 School District

This dataset tracks annual diversity score from 2019 to 2023 for Cics - Prairie Campus vs. Illinois and Chicago Public Schools Dist 299 School District

This dataset tracks annual diversity score from 2019 to 2020 for Ombudsman Chicago West vs. Illinois and Chicago Public Schools Dist 299 School District

This dataset tracks annual diversity score from 2019 to 2023 for Noble St Chtr-pritzker Col Prep vs. Illinois and Chicago Public Schools Dist 299 School District

Under Executive Order 2021-2, many City of Chicago contractors are required to submit annual reports on their Business Diversity Programs (BDPs), if any. This dataset lists those businesses that have such programs. Contractors who did not indicate formal BDPs but indicated related efforts through other portions of their responses are included.

For more information on the BDP effort or to submit a response for your business, please visit https://chicago.gov/bdp.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within North Chicago. The dataset can be utilized to gain insights into gender-based income distribution within the North Chicago population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within North Chicago, among individuals aged 15 years and older with income, there were 14,645 men and 8,678 women in the workforce. Among them, 8,306 men were engaged in full-time, year-round employment, while 4,474 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 30.10% fell within the income range of under $24,999, while 27.56% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 5.49% of men in full-time roles earned incomes exceeding $100,000, while 4.60% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

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

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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 median household income by race. You can refer the same here