About this dataset

Context

The dataset presents median household incomes for various household sizes in Austin Township, Minnesota, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Austin township did not include 6, or 7-person households. Across the different household sizes in Austin township the mean income is $95,429, and the standard deviation is $40,164. The coefficient of variation (CV) is 42.09%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2023, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $34,167. It then further increased to $145,625 for 5-person households, the largest household size for which the bureau reported a median household income.

Content

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

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific household size.

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. You can refer the same here

Graph and download economic data for Per Capita Personal Income in Austin-Round Rock, TX (MSA) (AUST448PCPI) from 1969 to 2023 about Austin, personal income, per capita, TX, personal, income, and USA.

About this dataset

Context

The dataset presents median household incomes for various household sizes in Austin, IN, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Austin did not include 6, or 7-person households. Across the different household sizes in Austin the mean income is $55,498, and the standard deviation is $22,495. The coefficient of variation (CV) is 40.53%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $21,947. It then further increased to $68,181 for 5-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/austin-in-median-household-income-by-household-size.jpeg" alt="Austin, IN median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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. You can refer the same here

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

Date of Publication: 07/21/2021Name of Person Responsible: Alan HalterDate to be removed/updated: Ongoing updates. Last updated on 07/21/2021.This map includes the variables used to calculate Tree Equity Scores for Austin, Texas. For more information, contact the original data author, American Forests. Layer colors are HEX F99D3E (orange) to 6CC396 (green).A Tree Equity Score is a metric that helps cities assess how well they are delivering equitable tree canopy cover to all residents. The score combines measures of tree canopy cover need and priority for trees in urban neighborhoods (defined as Census Block Groups). It is derived from tree canopy cover, climate, demographic and socioeconomic data. Geographies represent selected Census blockgroups for Caldwell, Hays, Travis, and Williamson counties. They cover the Census "urbanized area" for Austin and might not represent the full City of Austin jurisdiction.The score is calculated at the neighborhood (block group) level.Methodology (For more information about methodology, visit https://treeequityscore.org/methodology/ )Step 1: A Neighborhood GoalDensity Adjusted Canopy TargetThe canopy target – which is meant to be equitable, aspirational and achievable – requires the following data:Tree canopy cover. High resolution tree canopy where available, the National Land Cover Database where it is not.Census American Community Survey (ACS) 2018 5-year Block Group population estimatesCensus ACS 2018 5-year city and block group Median Income estimatesTo identify a baseline canopy target, we use generalized natural biome baseline targets selected in conjunction with the USDA Forest Service. We select the baseline target based on the location of the municipality.Forest: 40%Grassland: 20%Desert: 15%This target is then adjusted based on population density to estimate a neighborhood goal. Based on research completed by The Nature Conservancy, adjustments are made using the following table:Adjusting for population density makes for more achievable targets, while recognizing differences in plantable areas suitable for tree canopy. Note: Neighborhood goals are capped at 150% of the natural biome baseline target.The formula for each neighborhood goal, GOAL, is as follows:GOAL = Baseline target * Density adjustment factorStep 2: The Canopy GapThe neighborhood canopy gap, GAP, is calculated by subtracting the existing neighborhood canopy from the density adjusted target, that is: GAP = GOAL – EC, where EC is % existing canopy for that neighborhoodThe canopy Gap is then normalized to a score from 0-100.GAPScore = 100 * GAP / GAPmax , where:GAPmax is the maximum GAP value citywide for that indicator; andNotes: If the GAP is negative (i.e. Existing canopy is greater than the neighborhood goal), it is adjusted to 0 before normalizing to create the gap score. Also, if Gapmax = 0, then GapScore is set to 0 as well.Step 3: The Priority IndexThe Priority Index is developed to help prioritize the need for planting to achieve Tree Equity. The priority index includes the following equally-weighted characteristics:Income: Percentage of population below 200% of povertyEmployment: Unemployment rateRace: Percentage of people who are not white non-HispanicAge: Ratio of seniors and children to working-age adultsClimate: Urban Heat Island severityHealth: Prevalence of poor mental, physical, respiratory, and cardiac health (composite index)These measures are normalized and combined to create a simple priority index from 0 to 1, where 1 indicates a greater amount of inequity. The indices, N, are calculated as follows:Ni = (xi - xi,min ) / (xi,max - xi,min) , where, for each indicator, Ni,xi is the value for that neighborhood for that indicator, i;xi,max is the maximum value citywide for that indicator, i; andxi,min is the minimum value citywide for that indicator, i.The Priority index, E, is then calculated as follows: E = (N1 + N2 + N3 + N4 + N5 + N6) / 6 , where Ni refers to each indicator value (income, employment, race, age, or climate)Step 4: Tree Equity ScoreTree Equity Score, TES, is calculated by multiplying the Baseline Gap Score by the Priority Index, simply:TES = 100 (1 - GAPScore E)A lower Tree Equity Score indicates a greater priority for closing the tree canopy gap.Tree equity scores of 100 indicate tree equity has been achieved.Data Dictionarygeoid: the blockgroup idtotal_pop: the total population of the block groupstate: the state the blockgroup is incounty: the county the blockgroup is inpctpov: the percent of people in poverty inside the blockgrouppctpoc: the percent of people of color inside the block groupunemplrate: the unemployment rate inside of the block groupmedhhinc: the median household income of the block groupdep_ratio: the dependency ratio (childrens + seniors / 18-64 adults)child_perc: the percent of children inside of the blockgroupseniorperc: the percent of seniors inside of the blockgrouparea: the area of the blockgroup in square kilometerssource: the source of the tree canopy of the block groupavg_temp: the average temperature of the blockgroup on a hot summer's dayua_name: the urbanized area the block group is located insideincorpname: the incorporated place the block group is located insidecongressio: the congressional district of the block groupbgpopdense: the density of the blockgroup (total population over area)popadjust: the population adjustment factor (based on the population density)biome: the biome of the blockgroupbaselinecanopy: baseline tree canopy target generalized to natural biome (percent)treecanopy: the tree canopy percentage of the blockgroup (set to negative 1 if the source is 'ED')tc_gap: the tree canopy gap of the block group (goal minus canopy)tc_goal: the tree canopy goal of the block group (set to negative 1 if the source is 'ED')phys_hlth: the self reported physical health challenges of the people in the block group (a percentage)ment_hlth: the self reported mental health challenges of people in the block group (a percentage)asthma: the self reported asthma challenges of people in the block group (a percentage)core_m: the self reported male coronary heart challenges of people in the block group (a percentage)core_w: the self reported female coronary heart challenges of people in the block group (a percentage)core_norm: the normalized total coronary challenges of people in the block grouphealthnorm: the normalized health index of the block grouppriority: the priority index of the block grouptes: the tree equity score of the block grouptesctyscor: the tree equity score of the incorporated place/municipality of the block group

These are the data for the Demographic Profiles displayed on austintexas.gov/demographics. These profiles were published in 2025, but display data from 2023 and 2024.

Most data are from the 2023 American Community Survey (the most recent available at the time of publication), but some data have other sources. All data come from the American Community Survey estimates except for:

Total Population - City of Austin Planning (2023) (City and Council Districts only) Population Low-Moderate Income - Dept. of Housing and Urban Development LMISD Summary Data (5 year 2016-2020) Occupied Housing Units - City of Austin Planning (2023) (City and Council Districts only) Median Home Closing Price - Austin Board of Realtors (2024) Average Monthly Rent - ApartmentTrends.com by Austin Investor Interests (Q4 2024) Income Restricted Units - City of Austin Affordable Housing Inventory (March 2025) Housing Units - City of Austin Planning (2023)(City only) Population Density - Esri Updated Demographics (2024) (County, MSA, Council Districts) Daytime Population Density - Esri Updated Demographics (2024) (County, MSA, Council Districts) Population Density - Calculation derived from 2023 Population Estimates, City of Austin Demographics & Data Division (City only) Daytime Population Density - 2023 Population Estimates, City of Austin Demographics & Data Division (City only) Selected Land Use Percentages - City of Austin Land Use Inventory (2024) Transit Stops - Capital Metro (January 2025)

City, County, and MSA data are 1-Year ACS estimates. Council Districts are 5-year ACS estimates.

Some datapoints may not be available for all geographies.

More information and links to these alternate sources, when available, can be found at austintexas.gov/demographics.

These profiles are updated annually.

City of Austin Open Data Terms of Use – https://data.austintexas.gov/stories/s/ranj-cccq

About this dataset

Context

The dataset presents median household incomes for various household sizes in Port Austin Township, Michigan, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Port Austin township did not include 5, 6, or 7-person households. Across the different household sizes in Port Austin township the mean income is $57,672, and the standard deviation is $20,131. The coefficient of variation (CV) is 34.91%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $32,934. It then further increased to $78,817 for 4-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/port-austin-township-mi-median-household-income-by-household-size.jpeg" alt="Port Austin Township, Michigan median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 township median household income. You can refer the same here

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Austin. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2022

Based on our analysis ACS 2022 1-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Austin, the median income for all workers aged 15 years and older, regardless of work hours, was $57,048 for males and $46,093 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 19% between the median incomes of males and females in Austin. With women, regardless of work hours, earning 81 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Austin.

- Full-time workers, aged 15 years and older: In Austin, among full-time, year-round workers aged 15 years and older, males earned a median income of $79,709, while females earned $64,291, leading to a 19% gender pay gap among full-time workers. This illustrates that women earn 81 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Austin, showcasing a consistent income pattern irrespective of employment status.

https://i.neilsberg.com/ch/austin-tx-income-by-gender.jpeg" alt="Austin, TX gender based income disparity">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2022 1-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

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.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2022
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 gender. 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 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 396.34 thousand men and 357.85 thousand women in the workforce. Among them, 264.47 thousand men were engaged in full-time, year-round employment, while 197,239 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 7.23% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 38.97% of men in full-time roles earned incomes exceeding $100,000, while 25.99% 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-tx-income-distribution-by-gender-and-employment-type.jpeg" alt="Austin, TX 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) 2022 1-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 gender. You can refer the same here