These are the data used for the Racial and Ethnic Diversity for the Austin MSA story map. The story map was published July 2024 but displays data from 2000, 2010, and 2020. Decennial census data were used for all three years. 2000: DEC Summary File 1, P004 2010: DEC Redistricting Data (PL 94-171), P2 2020: DEC Redistricting Data (PL 94-171), P2 Geographic crosswalks were used to harmonize 2000, 2010, and 2020 geographies. Racial and Ethnic Diversity Index for the Austin MSA Storymap: https://storymaps.arcgis.com/stories/88ee265f00934af7a750b57f7faebd2c City of Austin Open Data Terms of Use – https://data.austintexas.gov/stories/s/ranj-cccq

In 2024, the majority of attorneys working for Sidley Austin LLP in the United States were white men. Out of a total of ***** U.S. based associates working for the firm, *** of them came from a white background. In terms of gender diversity, men made up the majority of attorneys working for Sidley Austin in 2024. The racial group with the largest representation outside of those coming from a white background were Asian.

In 2024, the majority of equity partners at Sidley Austin LLP in the United States were white men. Out of a total of *** U.S. based equity partners working for the firm, almost *** of them came from a white background. In terms of gender diversity, men made up the majority of equity partners working for Sidley Austin in 2024. The racial group with the largest representation outside of those coming from a white background were Asian.

This dataset tracks annual diversity score from 1991 to 2023 for Austin High School vs. Texas and Austin Independent School District

A dataset with number of staff trained and type of class for the following training classes: Diversity, Equity, and Anti-Racist.

This dataset is used in the Atlas of ReUrbanism | Austin web application. The Atlas of ReUrbanism is an evolving and expanding tool, allowing users to explore the built environment of American cities, block by block. Using our maps, you can interact with data on your city's built assets, and click to layer demographic, economic, and environmental data from the US Census, American Community Survey, and more. The maps focus on the Character Score for buildings and blocks across 50 U.S. cities, as established in the Preservation Green Lab’s Older, Smaller, Better report. Individual building and block characteristics are also selectable and viewable.A resource on the American built environment, the Atlas of ReUrbanism is a product of the Preservation Green Lab and part of the National Trust for Historic Preservation’s ReUrbanism initiative.Learn more at atlasofreurbanism.com.

This dataset tracks annual diversity score from 2022 to 2023 for Basis Austin vs. Texas and BASIS Texas School District

About this dataset

Context

The dataset presents the median household income across different racial categories in Austin. 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 Austin population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 88.09% of the total residents in Austin. Notably, the median household income for White households is $27,923. Interestingly, despite the White population being the most populous, it is worth noting that Two or More Races households actually reports the highest median household income, with a median income of $49,163. This reveals that, while Whites may be the most numerous in Austin, Two or More Races households experience greater economic prosperity in terms of median household income.

https://i.neilsberg.com/ch/austin-in-median-household-income-by-race.jpeg" alt="Austin median household income diversity across racial categories">

Content

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:

• 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 of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Austin.
• Median household income: Median household income, adjusting for inflation, presented in 2022-inflation-adjusted dollars

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

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 Port Austin. The dataset can be utilized to gain insights into gender-based income distribution within the Port Austin population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Port Austin, among individuals aged 15 years and older with income, there were 320 men and 282 women in the workforce. Among them, 81 men were engaged in full-time, year-round employment, while 98 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 9.88% fell within the income range of under $24,999, while 15.31% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 20.99% of men in full-time roles earned incomes exceeding $100,000, while 6.12% 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 Port Austin median household income by race. You can refer the same here

This dataset tracks annual diversity score from 2021 to 2023 for Austin Achieve High School vs. Texas and Austin Achieve Public Schools

2018 Diversity And Inclusion

This dataset tracks annual diversity score from 2003 to 2023 for Austin St Hospital vs. Texas and Austin Independent School District

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 Austin. The dataset can be utilized to gain insights into gender-based income distribution within the Austin population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Austin, among individuals aged 15 years and older with income, there were 1,138 men and 1,541 women in the workforce. Among them, 562 men were engaged in full-time, year-round employment, while 571 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 7.12% fell within the income range of under $24,999, while 35.20% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 9.43% of men in full-time roles earned incomes exceeding $100,000, while none 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 Austin median household income by race. You can refer the same here

This dataset tracks annual diversity score from 2007 to 2023 for Austin Discovery School vs. Texas and Austin Discovery School District

This dataset tracks annual diversity score from 2021 to 2023 for Valor North Austin vs. Texas and Valor Public Schools

This dataset tracks annual diversity score from 1996 to 2023 for Stephen F Austin High School vs. Texas and Fort Bend Independent School District

We collected phytoplankton, zooplankton, Notonecta undulata adults, and Neoplea striola adults from small freshwater bodies in Austin, TX.

For the laboratory experiment, we filled 20 microcosms with 1.5 L of a mixture of the plankton, doubling the concentration of zooplankton in 10 of the microcosms, and adding a Notonecta individual to half (5) of the microcosms with each zooplankton density. We then set up 20 smaller microcosms the same way, except with 100 mL plankton mixture and Neoplea individuals. After 5 days we filtered and preserved the zooplankton. Finally we used microscopy to identify, count, and measure the zooplankton, allowing us to estimate the biomass of each zooplankton taxon in each microcosm using length-mass regressions.

For the field experiment, we used the same plankton to establish pond communities in 20 cattle tanks at Brackenridge Field Laboratory in Austin, TX. We added 6 Notonecta to 5 tanks, 90 Neoplea to 5 tanks, 3 Notonecta and 45 Neoplea to 5 tanks, and...

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 Austin township. The dataset can be utilized to gain insights into gender-based income distribution within the Austin township population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Austin township, among individuals aged 15 years and older with income, there were 493 men and 523 women in the workforce. Among them, 285 men were engaged in full-time, year-round employment, while 202 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 18.25% fell within the income range of under $24,999, while 22.28% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 12.63% of men in full-time roles earned incomes exceeding $100,000, while 5.94% 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)

https://i.neilsberg.com/ch/austin-township-mecosta-county-mi-income-distribution-by-gender-and-employment-type.jpeg" alt="Austin township, Mecosta County, Michigan gender and employment-based income distribution analysis (Ages 15+)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Austin township median household income by gender. You can refer the same here

This dataset tracks annual diversity score from 1993 to 2023 for Austin Area Learning Center vs. Minnesota and Austin Public School District

This dataset tracks annual diversity score from 1991 to 2023 for Austin Elementary School vs. Texas and Dayton Independent School District