St. Cloud, MN Income by Gender

In St. Cloud, the median income for all workers aged 15 years and older, regardless of work hours, was $38,481 for males and $26,037 for females. However, when specifically considering full-time, year-round workers within the same age group, the median income was $55,456 for males and $48,043 for females.
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Updated Feb 27, 2025

St. Cloud, MN annual median income by work experience and sex (Aged 15+, in 2023 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 St. Cloud. 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 $31,139 $58,337 $15,501 $20,995 $44,979 $13,700
2011 $32,360 $58,992 $15,941 $21,912 $44,003 $13,821
2012 $31,220 $56,055 $16,038 $21,495 $44,563 $13,596
2013 $30,111 $56,696 $15,852 $20,812 $45,031 $13,160
2014 $30,417 $54,642 $15,727 $22,262 $44,377 $13,943
2015 $31,425 $54,780 $15,362 $23,327 $43,694 $14,672
2016 $31,261 $53,031 $15,533 $23,656 $45,870 $15,100
2017 $31,869 $55,144 $16,482 $25,252 $45,679 $15,554
2018 $32,593 $54,505 $16,979 $25,379 $46,015 $15,479
2019 $34,736 $55,235 $18,564 $25,373 $48,083 $15,514
2020 $36,613 $53,474 $20,254 $25,165 $49,972 $14,990
2021 $38,425 $55,742 $21,584 $25,284 $49,109 $15,368
2022 $38,055 $56,539 $21,160 $25,474 $48,265 $15,200
2023 $38,481 $55,456 $20,652 $26,037 $48,043 $15,275

St. Cloud, MN gender pay gap statistics

In St. Cloud, the population consists of 35,709 males (51.07%) and 34,217 females (48.93%), a breakdown further detailed in St. Cloud population by gender.

With a gender ratio of 104.4:100 i.e. 104.4 men to 100 women (1.044), St. Cloud 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 St. Cloud, 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 St. Cloud, the median income for all workers aged 15 years and older, regardless of work hours, was $38,481 for males and $26,037 for females.

    These income figures highlight a substantial gender-based income gap in St. Cloud. Women, regardless of work hours, earn 68 cents for each dollar earned by men. This significant gender pay gap, approximately 32%, underscores concerning gender-based income inequality in the city of St. Cloud.

  • Full-time workers, aged 15 years and older: In St. Cloud, among full-time, year-round workers aged 15 years and older, males earned a median income of $55,456, while females earned $48,043, resulting in a 13% gender pay gap among full-time workers. This illustrates that women earn 87 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 city of St. Cloud.

    Interestingly, when analyzing income across all roles, including non-full-time employment, the gender pay gap percentage was higher for women compared to men. It appears that full-time employment presents a more favorable income scenario for women compared to other employment patterns in St. Cloud.

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

Line chart showing the annual median income trends in St. Cloud, MN 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).
St. Cloud, MN gender based income disparity: Gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals, in 2023 inflation adjusted dollars. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

St. Cloud, MN gender and employment-based income distribution analysis (Ages 15+)

To gain insights into gender-based income distribution within the St. Cloud 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 St. Cloud, among individuals aged 15 years and older with income, there were 26,855 men and 25,151 women in the workforce. Among them, 12,611 men were engaged in full-time, year-round employment, while 8,923 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 46.96%, whereas among women, the ratio was 35.48%. 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 St. Cloud.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.

St. Cloud 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 St. Cloud

Income Bracket Full-Time Males Part-Time Males Full-Time Females Part-Time Females
$1 to $2,499 or loss - 1,128 - 1,223
$2,500 to $4,999 - 1,110 30 1,624
$5,000 to $7,499 49 1,222 76 1,389
$7,500 to $9,999 - 844 23 890
$10,000 to $12,499 127 856 105 1,638
$12,500 to $14,999 79 526 76 1,214
$15,000 to $17,499 97 678 25 1,236
$17,500 to $19,999 206 575 133 807
$20,000 to $22,499 256 702 166 836
$22,500 to $24,999 147 718 182 632
$25,000 to $29,999 420 930 513 1,105
$30,000 to $34,999 738 771 881 495
$35,000 to $39,999 1,206 624 919 779
$40,000 to $44,999 1,237 416 872 508
$45,000 to $49,999 1,026 305 808 273
$50,000 to $54,999 639 413 1,038 269
$55,000 to $64,999 1,536 627 831 548
$65,000 to $74,999 1,156 462 553 209
$75,000 to $99,999 1,897 732 1,021 326
$100,000 or more 1,795 605 671 227

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 St. Cloud population.

The analysis unveiled the following key findings:

  • Annual income under $24,999: Of the male population working full-time, 7.62% fell within the income range of under $24,999, while 9.14% of the female population working full-time was represented in the same income bracket. Additionally, among individuals in other non-full-time employment categories, 58.68% of males and 70.80%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 34.70% of the entire male population and 48.92% of the entire female population fell within the income bracket of under $24,999.

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

  • Annual income between $25,000 and $49,999: 36.69% of males in full-time employment were within the $25,000 to $49,999 income range, while 44.75% of females in full-time roles were represented in this income bracket. Moreover, among other employment categories, 21.38% of males and 19.47% of females fell into this income range.

    Considering the population aged 15 years and older with income across all employments, 28.57% of the total male population and 28.44% of the total female population were encompassed within this income bracket.

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

  • Annual income between $50,000 and $74,999: 26.41% of men in full-time employment fell within the $50,000 to $74,999 income bracket, while 27.14% of women in full-time positions were also within this income range. Furthermore, among individuals in other non-full-time employment categories, 10.54% of men and 6.32% 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, 18% of the total male population and 13.71% of the total female population were found within the $50,000 to $74,999 income bracket.

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

  • Annual income between $75,000 and $99,999: 15.04% of men in full-time roles occupied the $75,000 to $99,999 income bracket, while 11.44% of women in full-time positions shared this income range. Additionally, among individuals in other non-full-time employment categories, 5.14% of men and 2.01% 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, 9.79% of the total male population and 5.36% 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: 14.23% of men in full-time roles earned incomes exceeding $100,000, while 7.52% of women in full-time positions earned within this income bracket. Additionally, among those in alternative non-full-time employment, 4.25% of men and 1.40% of women earned within this income bracket.

    In total, across the entire population aged 15 years and older with income across all job types, 8.94% of the total male population and 3.57% of the total female population earned incomes above $100,000.

    The increased proportion of males compared to females in the above $100,000 income bracket suggests a potential inequality, emphasizing a greater predominance of men 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.
St. Cloud, MN gender and employment-based income distribution analysis (Ages 15+) Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5 -Year Estimates

Things to know

Is there a gender-based pay gap in St. Cloud, MN?

In St. Cloud, the median income for all workers aged 15 years and older, regardless of work hours, was $38,481 for males and $26,037 for females.These income figures highlight a substantial gender-based income gap in St. Cloud. Women, regardless of work hours, earn 68 cents for each dollar earned by men. This significant gender pay gap, approximately 32%, underscores concerning gender-based income inequality in the city of St. Cloud.

What is the average annual income for a women in St. Cloud, MN?

The median income for females aged 15 years and older in St. Cloud is $26,037, 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) 2019-2023 5-Year Estimates.

What is the average annual income for men in St. Cloud, MN?

The median income for males aged 15 years and older in St. Cloud is $38,481, 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) 2019-2023 5-Year Estimates.

Is $100,000 considered low annual income in St. Cloud, MN?

In St. Cloud, among individuals aged 15 years and older working full-time year-round, 14.23% of men and 7.52% 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.
2025
St. Cloud, MN annual median income by work experience and sex dataset: Aged 15+, 2010-2023 (in 2023 inflation-adjusted dollars) // 2025 Edition
Last updated February 27, 2025
ACS
Free
Neilsberg
CSV, JSON
2019-2023
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 St. Cloud. 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 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations:

  • All workers, aged 15 years and older: In St. Cloud, the median income for all workers aged 15 years and older, regardless of work hours, was $38,481 for males and $26,037 for females.

    These income figures highlight a substantial gender-based income gap in St. Cloud. Women, regardless of work hours, earn 68 cents for each dollar earned by men. This significant gender pay gap, approximately 32%, underscores concerning gender-based income inequality in the city of St. Cloud.

  • Full-time workers, aged 15 years and older: In St. Cloud, among full-time, year-round workers aged 15 years and older, males earned a median income of $55,456, while females earned $48,043, resulting in a 13% gender pay gap among full-time workers. This illustrates that women earn 87 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 city of St. Cloud.

    Interestingly, when analyzing income across all roles, including non-full-time employment, the gender pay gap percentage was higher for women compared to men. It appears that full-time employment presents a more favorable income scenario for women compared to other employment patterns in St. Cloud.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-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 2023
  • 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 St. Cloud median household income by race. You can refer the same here

St. Cloud, MN annual income distribution by work experience and gender dataset: Number of individuals ages 15+ with income, 2023 // 2025 Edition
Last updated February 27, 2025
ACS
Free
Neilsberg
CSV, JSON
2019-2023
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 St. Cloud. The dataset can be utilized to gain insights into gender-based income distribution within the St. Cloud population, aiding in data analysis and decision-making..

Key observations

  • Employment patterns: Within St. Cloud, among individuals aged 15 years and older with income, there were 26,855 men and 25,151 women in the workforce. Among them, 12,611 men were engaged in full-time, year-round employment, while 8,923 women were in full-time, year-round roles.
  • Annual income under $24,999: Of the male population working full-time, 7.62% fell within the income range of under $24,999, while 9.14% of the female population working full-time was represented in the same income bracket.
  • Annual income above $100,000: 14.23% of men in full-time roles earned incomes exceeding $100,000, while 7.52% 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 St. Cloud median household income by race. 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 St. Cloud (in 2023 dollars)
Median household income of nearby cities (in 2023 dollars)
Livonia township income$136,417 Graham township income$127,083 Wakefield township income$124,750 Orrock township income$124,615 Becker township income$119,750 Big Lake township income$118,191 Langola township income$118,125 St. Augusta income$116,384 Gilmanton township income$115,750 Palmer township income$115,469 Collegeville township income$115,000 Brockway township income$113,508 Big Lake income$113,333 St. Wendel township income$112,614 St. George township income$111,250 Baldwin township income$110,584 Lynden township income$109,554 Santiago township income$108,875 Avon township income$107,721 Blue Hill township income$107,250 Granite Ledge township income$105,417 Mayhew Lake township income$105,000 Clear Lake income$105,000 Rice income$103,482 Maine Prairie township income$102,750 Haven township income$102,500 Rockville income$101,447 Elk River income$99,457 Maywood township income$96,875 Watab township income$95,926 Clear Lake township income$91,964 Avon income$90,987 Becker income$90,188 Clearwater income$89,219 Alberta township income$88,523 Glendorado township income$87,813 Zimmerman income$86,169 Sauk Rapids township income$79,750 Sartell income$77,465 Sartell income$77,465 Albany income$75,417 St. Joseph income$75,217 Minden township income$74,722 Paynesville income$72,105 Cold Spring income$72,022 Gilman income$68,750 Sauk Rapids income$67,004 Sauk Centre income$65,763 Royalton income$64,643 St. Cloud income$61,112 St. Cloud income$61,112 St. Cloud income$61,112 Melrose income$58,107 Foley income$58,092 Waite Park income$56,884 Princeton income$52,450

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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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