Silver Lake, KS 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 Silver Lake. 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 | $51,273 | $66,953 | $27,860 | $31,847 | $44,189 | $20,881 |
2011 | $50,965 | $67,994 | $28,350 | $31,805 | $47,325 | $21,657 |
2012 | $48,769 | $66,591 | $28,303 | $33,392 | $49,631 | $22,457 |
2013 | $48,854 | $63,085 | $27,206 | $35,210 | $50,468 | $22,711 |
2014 | $48,454 | $57,914 | $25,209 | $34,818 | $51,857 | $21,097 |
2015 | $46,942 | $53,169 | $26,907 | $36,620 | $51,245 | $15,238 |
2016 | $46,605 | $54,580 | $26,613 | $38,151 | $58,479 | $15,725 |
2017 | $48,041 | $57,117 | $26,464 | $29,094 | $55,851 | $16,467 |
2018 | $47,520 | $58,797 | $30,200 | $26,269 | $58,903 | $18,111 |
2019 | $48,335 | $55,976 | $30,141 | $29,618 | $53,878 | $18,807 |
2020 | $46,613 | $54,957 | $28,329 | $39,660 | $57,985 | $21,504 |
2021 | $36,331 | $60,261 | $28,009 | $42,041 | $58,338 | $21,753 |
TABLE OF CONTENTS
Silver Lake, KS gender pay gap statistics
In Silver Lake, the population consists of 808 males (53.12%) and 713 females (46.88%), a breakdown further detailed in Silver Lake population by gender.
With a gender ratio of 113.3:100 i.e. 113.3 men to 100 women (1.133), Silver Lake 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 Silver Lake, 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 Silver Lake, the median income for all workers aged 15 years and older, regardless of work hours, was $36,331 for males and $42,041 for females.
Contrary to expectations, women in Silver Lake, women, regardless of work hours, earn a higher income than men, earning 1.16 dollars for every dollar earned by men. This analysis indicates a significant shift in income dynamics favoring females.
- Full-time workers, aged 15 years and older: In Silver Lake, among full-time, year-round workers aged 15 years and older, males earned a median income of $60,261, while females earned $58,338, resulting in a 3% gender pay gap among full-time workers. This illustrates that women earn 97 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 Silver Lake.
Surprisingly, across all roles (including non-full-time employment), women had a higher median income compared to men in Silver Lake. This might indicate a more favorable income scenario for female workers across different employment patterns within the city of Silver Lake, especially in non-full-time positions.
To visualize the evolving trend, here is a line chart depicting the changes in gender-specific annual median incomes over time in Silver Lake, encompassing both full-time and all workers aged 15 years and older.
Silver Lake, KS gender and employment-based income distribution analysis (Ages 15+)
To gain insights into gender-based income distribution within the Silver Lake 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 Silver Lake, among individuals aged 15 years and older with income, there were 564 men and 517 women in the workforce. Among them, 232 men were engaged in full-time, year-round employment, while 254 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 41.13%, whereas among women, the ratio was 49.13%. This indicates that a higher percentage of women were engaged in full-time, year-round roles compared to men.
Silver Lake 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 Silver Lake
Income Bracket | Full-Time Males | Part-Time Males | Full-Time Females | Part-Time Females |
---|---|---|---|---|
$1 to $2,499 or loss | - | 35 | - | 27 |
$2,500 to $4,999 | - | 38 | - | 11 |
$5,000 to $7,499 | - | - | - | 9 |
$7,500 to $9,999 | - | 5 | 1 | 5 |
$10,000 to $12,499 | - | 9 | - | 17 |
$12,500 to $14,999 | - | 7 | 6 | 20 |
$15,000 to $17,499 | - | 7 | - | 21 |
$17,500 to $19,999 | - | 2 | 3 | 21 |
$20,000 to $22,499 | 5 | 3 | 3 | 10 |
$22,500 to $24,999 | - | 10 | 3 | 32 |
$25,000 to $29,999 | 17 | 138 | 6 | 21 |
$30,000 to $34,999 | 3 | 8 | 3 | 14 |
$35,000 to $39,999 | 12 | 6 | 21 | 16 |
$40,000 to $44,999 | 23 | 8 | 47 | 9 |
$45,000 to $49,999 | 41 | 17 | 10 | 7 |
$50,000 to $54,999 | 9 | 12 | 31 | 5 |
$55,000 to $64,999 | 46 | 3 | 38 | 10 |
$65,000 to $74,999 | 21 | 14 | 26 | 2 |
$75,000 to $99,999 | 16 | 5 | 22 | - |
$100,000 or more | 39 | 5 | 34 | 6 |
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 Silver Lake population.
The analysis unveiled the following key findings:
- Annual income under $24,999: Of the male population working full-time, 2.16% fell within the income range of under $24,999, while 6.30% of the female population working full-time was represented in the same income bracket. Additionally, among individuals in other non-full-time employment categories, 34.94% of males and 65.78% 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 21.45% of the entire male population and 36.56% 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: 41.38% of males in full-time employment were within the $25,000 to $49,999 income range, while 34.25% of females in full-time roles were represented in this income bracket. Moreover, among other employment categories, 53.31% of males and 25.48% of females fell into this income range.
Considering the population aged 15 years and older with income across all employments, 48.40% of the total male population and 29.79% 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: 32.76% of men in full-time employment fell within the $50,000 to $74,999 income bracket, while 37.40% of women in full-time positions were also within this income range. Furthermore, among individuals in other non-full-time employment categories, 8.73% of men and 6.46% 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, 18.62% of the total male population and 21.66% 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: 6.90% of men in full-time roles occupied the $75,000 to $99,999 income bracket, while 8.66% of women in full-time positions shared this income range. Additionally, among individuals in other non-full-time employment categories, 1.51% of men and none 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, 3.72% of the total male population and 4.26% of the total female population fell within the $75,000 to $99,999 income bracket.
The elevated ratio of females to males in the $75,000 to $99,999 income bracket hints at a potential inequality, underscoring a stronger predominance of women within this upper-middle income range.
- Annual income above $100,000: 16.81% of men in full-time roles earned incomes exceeding $100,000, while 13.39% of women in full-time positions earned within this income bracket. Additionally, among those in alternative non-full-time employment, 1.51% of men and 2.28% of women earned within this income bracket.
In total, across the entire population aged 15 years and older with income across all job types, 7.80% of the total male population and 7.74% 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.
Things to know
Is there a gender-based pay gap in Silver Lake, KS?
In Silver Lake, the median income for all workers aged 15 years and older, regardless of work hours, was $36,331 for males and $42,041 for females.
Contrary to expectations, women in Silver Lake, women, regardless of work hours, earn a higher income than men, earning 1.16 dollars for every dollar earned by men. This analysis indicates a significant shift in income dynamics favoring females.
What is the average annual income for a women in Silver Lake, KS?
The median income for females aged 15 years and older in Silver Lake is $42,041, 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 Silver Lake, KS?
The median income for males aged 15 years and older in Silver Lake is $36,331, 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 Silver Lake, KS?
In Silver Lake, among individuals aged 15 years and older working full-time year-round, 16.81% of men and 13.39% 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
- U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates
- Consumer Price Index retroactive series using current methods (R-CPI-U-RS)
Notes
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.