ACS
Free
Neilsberg
CSV, JSON
2017-2021
CC BY 4.0
Keywords
Wild Rose, WI income demographics dataset
Date Modified
January 9, 2024
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 Wild Rose. 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 Wild Rose, the median income for all workers aged 15 years and older, regardless of work hours, was $35,337 for males and $32,234 for females.

    Based on these incomes, we observe a gender gap percentage of approximately 9%, indicating a significant disparity between the median incomes of males and females in Wild Rose. Women, regardless of work hours, still earn 91 cents to each dollar earned by men, highlighting an ongoing gender-based wage gap.

  • Full-time workers, aged 15 years and older: In Wild Rose, among full-time, year-round workers aged 15 years and older, males earned a median income of $45,474, while females earned $38,537, resulting in a 15% gender pay gap among full-time workers. This illustrates that women earn 85 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 village of Wild Rose.

    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 Wild Rose, showcasing a consistent income pattern irrespective of employment status.

Wild Rose, WI gender based income disparity

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 Wild Rose median household income by gender. You can refer the same here

Need Income insights or broader demographics data for Wild Rose?
We can help you with custom data for Wild Rose, other cities in Waushara County, any place in Wisconsin, or across the USA!
Avg Income Age group Avg Income Diversity Index Population Gender ratio (M:F) Homeownership % Avg commute time Custom Dataset: Wild Rose 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