Bayfield, CO Income by Gender

In Bayfield, the median income for all workers aged 15 years and older, regardless of work hours, was $39,003 for males and $37,448 for females. However, when specifically considering full-time, year-round workers within the same age group, the median income was $51,661 for males and $45,647 for females.
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Updated Jan 9, 2024

Bayfield, CO annual median income by work experience and sex (Aged 15+, in 2022 inflation-adjusted dollars)

The table 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 Bayfield. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time1 and part-time2 work.

Year Male Total Income Male FT Income Male PT Income Female Total Income Female FT Income Female PT Income
2010 $53,063 $67,464 $34,407 $30,584 $51,273 $19,034
2011 $44,969 $61,565 $22,065 $33,053 $50,368 $21,006
2012 $45,607 $57,267 $22,790 $31,851 $48,862 $23,141
2013 $45,586 $52,977 $19,976 $30,436 $55,199 $23,657
2014 $45,731 $51,513 $22,357 $33,000 $58,985 $25,663
2015 $45,068 $49,707 $17,464 $31,787 $51,232 $26,378
2016 $48,158 $49,433 $43,631 $31,746 $39,307 $27,519
2017 $47,975 $48,646 $25,249 $31,732 $36,473 $19,846
2018 $44,725 $45,724 $32,567 $35,212 $41,283 $20,745
2019 $47,364 $51,318 $32,098 $32,459 $45,077 $18,420
2020 $37,755 $49,382 $28,329 $35,411 $44,299 $22,792
2021 $39,003 $51,661 $19,530 $37,448 $45,647 $24,680
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Avg Income Age group Avg Income Diversity Index Population Gender ratio (M:F) Homeownership % Avg commute time Custom Dataset: Bayfield Self-employed, multilingual, car-commuting, insured individuals 15 to 24 years $27,865 75 27,354 0.75 0.5% 55 min 25 to 44 years $44,231 90 37,459 0.86 19% 43 min 45 to 64 years $53,865 95 42,167 0.77 35% 15 min 65 to 74 years $51,800 74 32,972 0.91 45% 13 min 75 to 84 years $41,234 66 26,758 0.87 66% 42 min 85 years and over $36,093 56 18,857 0.89 76% 45 min

Bayfield, CO gender pay gap statistics

In Bayfield, the population consists of 1,519 males (53.85%) and 1,302 females (46.15%), a breakdown further detailed in Bayfield population by gender.

With a gender ratio of 116.7:100 i.e. 116.7 men to 100 women (1.167), Bayfield hosts more men than women. This demographic distribution sets the backdrop for our exploration into gender-based income disparities within the area.

Historically, addressing gender-based pay differences has been a pressing concern, prompting substantial efforts not only from government initiatives but also from advocacy groups, businesses, and social movements. To explore this further within the context of Bayfield, our analysis will focus on examining the income data to understand the reality of gender-based pay differences.

Here are the key findings from our analysis:

  • All workers, aged 15 years and older: In Bayfield, the median income for all workers aged 15 years and older, regardless of work hours, was $39,003 for males and $37,448 for females.

    Based on these incomes, we observe a gender gap percentage of approximately 4%, indicating a significant disparity between the median incomes of males and females in Bayfield. Women, regardless of work hours, still earn 96 cents to each dollar earned by men, highlighting an ongoing gender-based wage gap.

  • Full-time workers, aged 15 years and older: In Bayfield, among full-time, year-round workers aged 15 years and older, males earned a median income of $51,661, while females earned $45,647, resulting in a 12% gender pay gap among full-time workers. This illustrates that women earn 88 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the town of Bayfield.

    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 Bayfield, showcasing a consistent income pattern irrespective of employment status.

To visualize the evolving trend, here is a line chart depicting the changes in gender-specific annual median incomes over time in Bayfield, encompassing both full-time and all workers aged 15 years and older.

Line chart showing the annual median income trends in Bayfield, CO for males and females across four employment categories: (1) Males in full-time year-round positions, (2) Males in non-full-time roles (part-time and other employment types), (3) Females in full-time year-round positions, and (4) Females in non-full-time roles (part-time and other employment types).
Bayfield, CO gender based income disparity: Gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals, in 2022 inflation adjusted dollars. Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates

Bayfield, CO gender and employment-based income distribution analysis (Ages 15+)

To gain insights into gender-based income distribution within the Bayfield population, we conducted an analysis across 20 distinct brackets for males and females aged 15 years and over, covering both full-time year-round workers and other employment designations.

Within Bayfield, among individuals aged 15 years and older with income, there were 905 men and 921 women in the workforce. Among them, 584 men were engaged in full-time, year-round employment, while 501 women were in full-time, year-round roles.

Analyzing the percentage of full-time, year-round workers to the total workforce reveals that among men, the proportion of full-time employment was 64.53%, whereas among women, the ratio was 54.40%. This indicates that a higher percentage of men were engaged in full-time, year-round roles compared to women.

The observed disparity may stem from various factors such as industry choices, societal expectations, or employment opportunities, revealing potential gender-based variations in employment trends within Bayfield.

Parenthood, for instance, is one such factor influencing these trends. Women between 25 and 44 years old who are mothers are less inclined to participate in the workforce compared to women of the same age without children at home. Furthermore, when employed, these mothers often work fewer hours per week, adding to the observed disparities in full-time employment between genders.

Bayfield annual income distribution by work experience and sex (Ages 15+ with income)

The following table provides a detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time1 (FT) and part-time2 (PT), offering valuable insights into the diverse income landscapes within Bayfield

Income Bracket Full-Time Males Part-Time Males Full-Time Females Part-Time Females
$1 to $2,499 or loss - 8 - 18
$2,500 to $4,999 - 58 - 22
$5,000 to $7,499 - 15 - 37
$7,500 to $9,999 14 15 - 14
$10,000 to $12,499 - 43 - 32
$12,500 to $14,999 58 8 - 28
$15,000 to $17,499 - 11 - 18
$17,500 to $19,999 - 11 - 15
$20,000 to $22,499 - 14 - 22
$22,500 to $24,999 33 - 41 30
$25,000 to $29,999 14 10 38 34
$30,000 to $34,999 71 50 75 50
$35,000 to $39,999 50 9 51 20
$40,000 to $44,999 39 - 51 13
$45,000 to $49,999 43 23 - -
$50,000 to $54,999 - 14 55 1
$55,000 to $64,999 60 11 90 -
$65,000 to $74,999 48 - 22 10
$75,000 to $99,999 90 10 38 19
$100,000 or more 64 11 40 37
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To provide a more comprehensive understanding of income distribution, we have grouped the original income brackets into five broader categories for analysis purposes: Under $24,999, $25,000 to $49,999, $50,000 to $74,999, $75,000 to $99,999, and above $100,000. This grouping allows for a more focused assessment of income disparities across distinct income ranges, offering clearer insights into gender-based income distributions within the Bayfield population.

The analysis unveiled the following key findings:

  • Annual income under $24,999: Of the male population working full-time, 17.98% fell within the income range of under $24,999, while 8.18% of the female population working full-time was represented in the same income bracket. Additionally, among individuals in other non-full-time employment categories, 57.01% of males and 56.19% of females were found within this income range.

    In total, among the population aged 15 years and older with income, across all employment categories, the analysis revealed that 31.82% of the entire male population and 30.08% of the entire female population fell within the income bracket of under $24,999.

    A higher percentage of males compared to females falling within the under $24,999 income bucket suggests a potential disparity, indicating a greater concentration of men in this lower income range.

  • Annual income between $25,000 and $49,999: 37.16% of males in full-time employment were within the $25,000 to $49,999 income range, while 42.91% of females in full-time roles were represented in this income bracket. Moreover, among other employment categories, 28.66% of males and 27.86% of females fell into this income range.

    Considering the population aged 15 years and older with income across all employments, 34.14% of the total male population and 36.05% of the total female population were encompassed within this income bracket.

    The higher representation of females compared to males in the $25,000 to $49,999 income bracket indicates a potential inequality, emphasizing a greater prevalence of women within this lower-middle income range.

  • Annual income between $50,000 and $74,999: 18.49% of men in full-time employment fell within the $50,000 to $74,999 income bracket, while 33.33% of women in full-time positions were also within this income range. Furthermore, among individuals in other non-full-time employment categories, 7.79% of men and 2.62% of women were situated within this specific income bracket.

    Overall, considering the entire population aged 15 years and older with income across all job types, 14.70% of the total male population and 19.33% of the total female population were found within the $50,000 to $74,999 income bracket.

    The higher proportion of females compared to males in the $50,000 to $74,999 income bracket suggests a potential inequality, emphasizing a greater prevalence of women within this middle-income range.

  • Annual income between $75,000 and $99,999: 15.41% of men in full-time roles occupied the $75,000 to $99,999 income bracket, while 7.58% of women in full-time positions shared this income range. Additionally, among individuals in other non-full-time employment categories, 3.12% of men and 4.52% of women were situated within this specific income bracket.

    In total, among the entire population aged 15 years and older with income across all job types, 11.05% of the total male population and 6.19% of the total female population fell within the $75,000 to $99,999 income bracket.

    The elevated ratio of males to females in the $75,000 to $99,999 income bracket hints at a potential inequality, underscoring a stronger predominance of men within this upper-middle income range.

  • Annual income above $100,000: 10.96% of men in full-time roles earned incomes exceeding $100,000, while 7.98% of women in full-time positions earned within this income bracket. Additionally, among those in alternative non-full-time employment, 3.43% of men and 8.81% of women earned within this income bracket.

    In total, across the entire population aged 15 years and older with income across all job types, 8.29% of the total male population and 8.36% of the total female population earned incomes above $100,000.

    The increased proportion of females compared to males in the above $100,000 income bracket suggests a potential inequality, emphasizing a greater predominance of women in this higher income range.

Grouped bar chart displaying the count of male and female individuals across 20 income brackets, categorized by full-time and part-time employment statuses. It provides insights into income disparities and variations across genders, aiding in data analysis and decision-making.
Bayfield, CO gender and employment-based income distribution analysis (Ages 15+) Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates

Things to know

Is there a gender-based pay gap in Bayfield, CO?

In Bayfield, the median income for all workers aged 15 years and older, regardless of work hours, was $39,003 for males and $37,448 for females.

Based on these incomes, we observe a gender gap percentage of approximately 4%, indicating a significant disparity between the median incomes of males and females in Bayfield. Women, regardless of work hours, still earn 96 cents to each dollar earned by men, highlighting an ongoing gender-based wage gap.

What is the average annual income for a women in Bayfield, CO?

The median income for females aged 15 years and older in Bayfield is $37,448, indicating that half of the female population in this age group earns more than this figure, while the other half earns less. This data is sourced from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

What is the average annual income for men in Bayfield, CO?

The median income for males aged 15 years and older in Bayfield is $39,003, indicating that half of the male population in this age group earns more than this figure, while the other half earns less. This data is sourced from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Is $100,000 considered low annual income in Bayfield, CO?

In Bayfield, among individuals aged 15 years and older working full-time year-round, 10.96% of men and 7.98% of women earned incomes surpassing $100,000. This indicates that for both men and women, the percentage earning above $100,000 is relatively low.

References

Notes

1 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. 2 A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

The analysis presented in this article is based on estimates derived from the U.S. Census Bureau American Community Survey. While these figures offer valuable insights, they are subject to a margin of error. It is advisable to exercise caution and consider the potential margin of error when interpreting and utilizing this data.

Datasets

Explore datasets by year of publication.
2023
Bayfield, CO annual income distribution by work experience and gender dataset (Number of individuals ages 15+ with income, 2021)
Last updated January 9, 2024
ACS
Free
Neilsberg
CSV, JSON
2017-2021
CC BY 4.0
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 Bayfield. The dataset can be utilized to gain insights into gender-based income distribution within the Bayfield population, aiding in data analysis and decision-making..

Key observations

  • Employment patterns: Within Bayfield, among individuals aged 15 years and older with income, there were 905 men and 921 women in the workforce. Among them, 584 men were engaged in full-time, year-round employment, while 501 women were in full-time, year-round roles.
  • Annual income under $24,999: Of the male population working full-time, 17.98% fell within the income range of under $24,999, while 8.18% of the female population working full-time was represented in the same income bracket.
  • Annual income above $100,000: 10.96% of men in full-time roles earned incomes exceeding $100,000, while 7.98% 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) 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 Bayfield median household income by gender. You can refer the same here

Bayfield, CO annual median income by work experience and sex dataset : Aged 15+, 2010-2022 (in 2022 inflation-adjusted dollars)
Last updated January 9, 2024
ACS
Free
Neilsberg
CSV, JSON
2017-2021
CC BY 4.0
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 Bayfield. 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 2021

Based on our analysis ACS 2017-2021 5-Year Estimates, we present the following observations:

  • All workers, aged 15 years and older: In Bayfield, the median income for all workers aged 15 years and older, regardless of work hours, was $39,003 for males and $37,448 for females.

    Based on these incomes, we observe a gender gap percentage of approximately 4%, indicating a significant disparity between the median incomes of males and females in Bayfield. Women, regardless of work hours, still earn 96 cents to each dollar earned by men, highlighting an ongoing gender-based wage gap.

  • Full-time workers, aged 15 years and older: In Bayfield, among full-time, year-round workers aged 15 years and older, males earned a median income of $51,661, while females earned $45,647, resulting in a 12% gender pay gap among full-time workers. This illustrates that women earn 88 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the town of Bayfield.

    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 Bayfield, showcasing a consistent income pattern irrespective of employment status.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-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 Bayfield median household income by gender. You can refer the same here

If you're looking for datasets from another year, please feel free to contact us at research@neilsberg.com and we'll be happy to assist you further.

Explore more

Median household income of places that contain Bayfield (in 2022 dollars)
Median household income of nearby cities (in 2022 dollars)

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Neilsberg Research team are data scientists with expertise in processing, analysis and visualization of big data helping small businesses make right decisions.

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