Lima, MT 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 Lima. 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 | $41,245 | $45,538 | $32,945 | $12,420 | $34,154 | $9,580 |
2011 | $37,593 | $40,862 | $32,540 | $14,243 | $33,343 | $11,851 |
2012 | $38,508 | $39,847 | $34,288 | $17,105 | $45,308 | $14,409 |
2013 | $38,541 | $45,736 | $32,134 | $16,998 | $48,260 | $16,034 |
2014 | $32,732 | $63,602 | $31,025 | $15,513 | $48,089 | $13,031 |
2015 | - | - | - | - | - | - |
2016 | $26,602 | $39,240 | $22,168 | $14,677 | - | $13,607 |
2017 | $25,721 | $45,097 | $23,204 | $10,479 | - | - |
2018 | $26,121 | $37,410 | $24,843 | - | - | - |
2019 | $25,457 | $37,078 | $23,921 | $12,917 | $143,527 | $12,657 |
2020 | $34,561 | $39,187 | $25,181 | - | - | - |
2021 | $36,481 | $41,499 | $26,572 | $15,613 | - | $14,863 |
TABLE OF CONTENTS
Lima, MT gender pay gap statistics
In Lima, the population consists of 132 males (58.93%) and 92 females (41.07%), a breakdown further detailed in Lima population by gender.
With a gender ratio of 143.5:100 i.e. 143.5 men to 100 women (1.435), Lima 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 Lima, 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 Lima, the median income for all workers aged 15 years and older, regardless of work hours, was $36,481 for males and $15,613 for females.
These income figures highlight a substantial gender-based income gap in Lima. Women, regardless of work hours, earn 43 cents for each dollar earned by men. This significant gender pay gap, approximately 57%, underscores concerning gender-based income inequality in the town of Lima.
- Full-time workers, aged 15 years and older: In Lima, for full-time, year-round workers aged 15 years and older, while the Census reported a median income of $41,499 for males, while data for females was unavailable due to an insufficient number of sample observations.
As there was no available median income data for females, conducting a comprehensive assessment of gender-based pay disparity in Lima was not feasible.
To visualize the evolving trend, here is a line chart depicting the changes in gender-specific annual median incomes over time in Lima, encompassing both full-time and all workers aged 15 years and older.
Lima, MT gender and employment-based income distribution analysis (Ages 15+)
To gain insights into gender-based income distribution within the Lima 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 Lima, among individuals aged 15 years and older with income, there were 102 men and 74 women in the workforce. Among them, 47 men were engaged in full-time, year-round employment, while 5 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 46.08%, whereas among women, the ratio was 6.76%. 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 Lima.
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.
Lima 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 Lima
Income Bracket | Full-Time Males | Part-Time Males | Full-Time Females | Part-Time Females |
---|---|---|---|---|
$1 to $2,499 or loss | - | - | - | 12 |
$2,500 to $4,999 | - | 2 | - | 6 |
$5,000 to $7,499 | - | 3 | - | 5 |
$7,500 to $9,999 | - | 5 | - | 4 |
$10,000 to $12,499 | - | - | - | 3 |
$12,500 to $14,999 | - | 2 | - | 9 |
$15,000 to $17,499 | - | 4 | - | 4 |
$17,500 to $19,999 | - | 4 | - | - |
$20,000 to $22,499 | 5 | - | - | - |
$22,500 to $24,999 | - | 9 | - | - |
$25,000 to $29,999 | 5 | 4 | 4 | 4 |
$30,000 to $34,999 | 6 | 4 | - | 5 |
$35,000 to $39,999 | 12 | - | - | - |
$40,000 to $44,999 | 2 | 4 | - | 5 |
$45,000 to $49,999 | - | 4 | - | - |
$50,000 to $54,999 | 5 | 2 | - | - |
$55,000 to $64,999 | 12 | 4 | - | - |
$65,000 to $74,999 | - | - | - | - |
$75,000 to $99,999 | - | 4 | - | 5 |
$100,000 or more | - | - | 1 | 7 |
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 Lima population.
The analysis unveiled the following key findings:
- Annual income under $24,999: Of the male population working full-time, 10.64% fell within the income range of under $24,999, while none of the female population working full-time was represented in the same income bracket. Additionally, among individuals in other non-full-time employment categories, 52.73% of males and 62.32% 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 33.33% of the entire male population and 58.11% 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: 53.19% of males in full-time employment were within the $25,000 to $49,999 income range, while 80% of females in full-time roles were represented in this income bracket. Moreover, among other employment categories, 29.09% of males and 20.29% of females fell into this income range.
Considering the population aged 15 years and older with income across all employments, 40.20% of the total male population and 24.32% 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: 36.17% of men in full-time employment fell within the $50,000 to $74,999 income bracket, while none of women in full-time positions were also within this income range. Furthermore, among individuals in other non-full-time employment categories, 10.91% of men and none 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, 22.55% of the total male population and none 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: none of men in full-time roles occupied the $75,000 to $99,999 income bracket, while none of women in full-time positions shared this income range. Additionally, among individuals in other non-full-time employment categories, 7.27% of men and 7.25% 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, 3.92% of the total male population and 6.76% 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: none of men in full-time roles earned incomes exceeding $100,000, while 20% of women in full-time positions earned within this income bracket. Additionally, among those in alternative non-full-time employment, none of men and 10.14% of women earned within this income bracket.
In total, across the entire population aged 15 years and older with income across all job types, none of the total male population and 10.81% 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.
Things to know
Is there a gender-based pay gap in Lima, MT?
In Lima, the median income for all workers aged 15 years and older, regardless of work hours, was $36,481 for males and $15,613 for females.
These income figures highlight a substantial gender-based income gap in Lima. Women, regardless of work hours, earn 43 cents for each dollar earned by men. This significant gender pay gap, approximately 57%, underscores concerning gender-based income inequality in the town of Lima.
What is the average annual income for a women in Lima, MT?
The median income for females aged 15 years and older in Lima is $15,613, 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 Lima, MT?
The median income for males aged 15 years and older in Lima is $36,481, 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) 2017-2021 5-Year Estimates.
Is $100,000 considered low annual income in Lima, MT?
In Lima, among individuals aged 15 years and older working full-time year-round positions, only 20% of women earned incomes surpassing $100,000. However, for men, a salary of $100k seems beyond reach as there were no men with an income above this range.
This stark contrast shows a significant gender disparity in income distribution within this income bracket.
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.