Graph and download economic data for Unemployment Rate in Waterloo-Cedar Falls, IA (MSA) (WATE919URN) from Jan 1990 to Jan 2025 about Waterloo, IA, unemployment, rate, and USA.

Graph and download economic data for Employed Persons in Waterloo-Cedar Falls, IA (MSA) (LAUMT194794000000005A) from 1990 to 2023 about Waterloo, IA, household survey, employment, persons, and USA.

Graph and download economic data for All Employees: Education and Health Services: Health Care and Social Assistance in Waterloo-Cedar Falls, IA (MSA) (SMU19479406562000001SA) from Jan 1990 to Jan 2025 about Waterloo, social assistance, health, IA, employment, and USA.

Graph and download economic data for All Employees: State Government in Waterloo-Cedar Falls, IA (MSA) (SMU19479409092000001A) from 1990 to 2024 about Waterloo, state govt, IA, government, employment, and USA.

Graph and download economic data for Average Weekly Wages for Employees in Private Establishments in Waterloo-Cedar Falls, IA (MSA) (ENUC479440510) from Q1 1990 to Q3 2024 about Waterloo, IA, establishments, average, wages, private, employment, and USA.

Graph and download economic data for All Employees: Total Nonfarm in Waterloo-Cedar Falls, IA (MSA) (WATE919NAN) from Jan 1990 to Jan 2025 about Waterloo, payrolls, IA, nonfarm, employment, and USA.

Graph and download economic data for All Employees: Retail Trade in Waterloo-Cedar Falls, IA (MSA) (SMU19479404200000001A) from 2004 to 2024 about Waterloo, IA, retail trade, sales, retail, employment, and USA.

Graph and download economic data for All Employees: Total Private in Waterloo-Cedar Falls, IA (MSA) (SMU19479400500000001) from Jan 1990 to Dec 2024 about Waterloo, IA, private, employment, and USA.

Graph and download economic data for All Employees: Service-Providing in Waterloo-Cedar Falls, IA (MSA) (SMU19479400700000001) from Jan 1990 to Jan 2025 about Waterloo, IA, services, employment, and USA.

Graph and download economic data for Employed Persons in Black Hawk County, IA (LAUCN190130000000005) from Jan 1990 to Jan 2025 about Black Hawk County, IA; Waterloo; IA; household survey; employment; persons; and USA.

Graph and download economic data for All Employees: Leisure and Hospitality in Waterloo-Cedar Falls, IA (MSA) (WATE919LEIHN) from Jan 1990 to Jan 2025 about Waterloo, leisure, hospitality, IA, employment, and USA.

Graph and download economic data for Employed Persons in Bremer County, IA (LAUCN190170000000005A) from 1990 to 2023 about Bremer County, IA; Waterloo; IA; household survey; employment; persons; and USA.

Graph and download economic data for All Employees: Financial Activities in Waterloo-Cedar Falls, IA (MSA) (WATE919FIRE) from Jan 2004 to Jan 2025 about Waterloo, IA, financial, employment, and USA.

Graph and download economic data for Average Weekly Earnings of All Employees: Total Private in Waterloo-Cedar Falls, IA (MSA) (SMU19479400500000011A) from 2007 to 2024 about Waterloo, IA, earnings, private, employment, and USA.

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 Waterloo. 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 Waterloo, the median income for all workers aged 15 years and older, regardless of work hours, was $41,764 for males and $27,405 for females.

These income figures highlight a substantial gender-based income gap in Waterloo. Women, regardless of work hours, earn 66 cents for each dollar earned by men. This significant gender pay gap, approximately 34%, underscores concerning gender-based income inequality in the city of Waterloo.

- Full-time workers, aged 15 years and older: In Waterloo, among full-time, year-round workers aged 15 years and older, males earned a median income of $52,479, while females earned $45,613, 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 Waterloo.

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 Waterloo.

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 Waterloo median household income by race. 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 Waterloo. The dataset can be utilized to gain insights into gender-based income distribution within the Waterloo population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Waterloo, among individuals aged 15 years and older with income, there were 1,406 men and 1,348 women in the workforce. Among them, 1,004 men were engaged in full-time, year-round employment, while 599 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 3.59% fell within the income range of under $24,999, while 10.18% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 19.92% of men in full-time roles earned incomes exceeding $100,000, while 11.85% 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 Waterloo median household income by race. 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 Waterloo town. 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 Waterloo town, the median income for all workers aged 15 years and older, regardless of work hours, was $40,383 for males and $29,361 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 27% between the median incomes of males and females in Waterloo town. With women, regardless of work hours, earning 73 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thetown of Waterloo town.

- Full-time workers, aged 15 years and older: In Waterloo town, among full-time, year-round workers aged 15 years and older, males earned a median income of $51,920, while females earned $48,341, resulting in a 7% gender pay gap among full-time workers. This illustrates that women earn 93 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 Waterloo town.

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 Waterloo town.

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 Waterloo town median household income by race. You can refer the same here

Graph and download economic data for Average Hourly Earnings of All Employees: Total Private in Waterloo-Cedar Falls, IA (MSA) (SMU19479400500000003A) from 2007 to 2024 about Waterloo, IA, earnings, hours, private, employment, and USA.

Graph and download economic data for All Employees: Manufacturing: Durable Goods in Waterloo-Cedar Falls, IA (MSA) (SMU19479403100000001) from Jan 1990 to Jan 2025 about Waterloo, IA, durable goods, goods, manufacturing, employment, and USA.

Graph and download economic data for All Employees: Local Government Educational Services in Waterloo-Cedar Falls, IA (MSA) (SMU19479409093161101A) from 2003 to 2024 about Waterloo, local govt, IA, education, government, services, employment, and USA.