The gender wage gap indicator compares the median earnings between male and female workers in Champaign County.

Two worker populations are analyzed: all workers, including part-time and seasonal workers and those that were not employed for the full survey year; and full-time, year-round workers. The gender wage gap is included because it blends economics and equity, and illustrates that a major economic talking point on the national level is just as relevant at the local scale.

For all four populations (male full-time, year-round workers; female full-time, year-round workers; all male workers; and all female workers), the estimated median earnings were higher in 2023 than in 2005. The greatest increase in a population’s estimated median earnings between 2005 and 2023 was for female full-time, year-round workers; the smallest increase between 2005 and 2023 was for all female workers. In both categories (all and full-time, year-round), the estimated median annual earnings for male workers was consistently higher than for female workers.

The gender gap between the two estimates in 2023 was larger for full-time, year-round workers than all workers. For full-time, year-round workers, the difference was $11,863; for all workers, it was approaching $9,700.

The Associated Press wrote this article in October 2024 about how Census Bureau data shows that in 2023 in the United States, the gender wage gap between men and women working full-time widened year-over-year for the first time in 20 years.

Income data was sourced from the U.S. Census Bureau’s American Community Survey (ACS) 1-Year Estimates, which are released annually.

As with any datasets that are estimates rather than exact counts, it is important to take into account the margins of error (listed in the column beside each figure) when drawing conclusions from the data.

Due to the impact of the COVID-19 pandemic, instead of providing the standard 1-year data products, the Census Bureau released experimental estimates from the 1-year data in 2020. This includes a limited number of data tables for the nation, states, and the District of Columbia. The Census Bureau states that the 2020 ACS 1-year experimental tables use an experimental estimation methodology and should not be compared with other ACS data. For these reasons, and because data is not available for Champaign County, no data for 2020 is included in this Indicator.

For interested data users, the 2020 ACS 1-Year Experimental data release includes a dataset on Median Earnings in the Past 12 Months (in 2020 Inflation-Adjusted Dollars) by Sex by Work Experience in the Past 12 Months for the Population 16 Years and Over with Earnings in the Past 12 Months.

Sources: U.S. Census Bureau; American Community Survey, 2023 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using data.census.gov; (16 October 2024).; U.S. Census Bureau; American Community Survey, 2022 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using data.census.gov; (20 October 2023).; U.S. Census Bureau; American Community Survey, 2021 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using data.census.gov; (21 September 2022).; U.S. Census Bureau; American Community Survey, 2019 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using data.census.gov; (7 June 2021).; U.S. Census Bureau; American Community Survey, 2018 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using data.census.gov; (7 June 2021).; U.S. Census Bureau; American Community Survey, 2017 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2016 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2015 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2014 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2013 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2012 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2011 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2010 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2009 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2008 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2007 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2006 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2005 American Community Survey 1-Year Estimates, Table S2001; generated by CCRPC staff; using American FactFinder; (13 September 2018).

In 2021, female employee earnings were outpaced by male earnings across nearly all industries, with sharp disparities in the professional and technical services industry, as well as the finance and insurance industry. In that year, there were no industries in which women earned more than men.

The difference between the earnings of women and men shrank slightly over the past years. Considering the controlled gender pay gap, which measures the median salary for men and women with the same job and qualifications, women earned one U.S. cent less. By comparison, the uncontrolled gender pay gap measures the median salary for all men and all women across all sectors and industries and regardless of location and qualification. In 2025, the uncontrolled gender pay gap in the world stood at 0.83, meaning that women earned 0.83 dollars for every dollar earned by men.

Annual gender pay gap estimates for UK employees by age, occupation, industry, full-time and part-time, region and other geographies, and public and private sector. Compiled from the Annual Survey of Hours and Earnings.

In 2024, the gender pay gap for the median wages in Japan was **** percent. Compared to other OECD countries, Japan was one of the countries with the highest gender pay gap.

In 2024, the gender pay gap in Germany was around 16 percent. This meant that wages for men were on average 16 percent higher than for women. Figures have gradually decreased since 2009.

As of 2023, South Korea is the country with the highest gender pay gap among OECD countries, with a **** percent difference between the genders. The gender pay gap displays the difference between the median wages of full-time employed men and full-time employed women.

In 2024, the difference between average hourly earnings for men and women in the United Kingdom for all workers was 13.1 percent, compared with seven percent for full-time workers, and -3 percent for part-time workers. During the provided time period, the gender pay gap was at its highest in 1997, when it was 27.5 percent for all workers. Compared with 1997, the gender pay gap has fallen by 13.2 percent for all workers, and 9.7 percent for full-time workers. Gender pay gap higher in older age groups Although the gender pay gap among younger age groups was relatively small in 2024, the double-digit pay gap evident in older age groups served to keep the overall gap high. The gender pay gap for workers aged between 18 and 21 for example was -0.5 percent, compared with 12.1percent for people in their 50s. Additionally, the gender pay gap for people aged over 60 has changed little since 1997, falling by just 1.2 percent between 1997 and 2023, compared with a 14.9 percent reduction among workers in their 40s. Positions of power As of 2024, women are unfortunately still relatively underrepresented in leadership positions at Britain’s top businesses. Among FTSE 100 companies, for example, just 9.4 percent of CEOs were female, falling to just 6.1 percent for FTSE 250 companies. Representation was better when it came to FTSE 100 boardrooms, with 44.7 percent of positions at this level being filled by women, compared with 42.6 percent at FTSE 250 companies. In the corridors of political power, the proportion of female MPs was estimated to have reached its highest ever level after the 2024 election at 41 percent, compared with just three percent in 1979.

Network of 45 papers and 60 citation links related to "Closing the Gender Wage Gap and Achieving Professional Equity in Medicine".

Network of 45 papers and 88 citation links related to "Occupational Segregation and the Gender Wage Gap in Private‐ and Public‐Sector Employment: A Distributional Analysis*".

Time series data for the statistic Women, Business and the Law: Pay Indicator Score (scale 1-100) and country Papua New Guinea. Indicator Definition:The Pay indicator measures laws affecting occupational segregation and the gender wage gap. The Pay indicator score is obtained by calculating the unweighted average of the following: 1. SG.LAW.EQRM.WK; 2. SG.NGT.WORK.EQ; 3. SG.DNG.WORK.DN.EQ; 4. SG.IND.WORK.EQ (= 25 points each) and scaling the result to 100.

Time series data for the statistic Women, Business and the Law: Pay Indicator Score (scale 1-100) and country Dominica. Indicator Definition:The Pay indicator measures laws affecting occupational segregation and the gender wage gap. The Pay indicator score is obtained by calculating the unweighted average of the following: 1. SG.LAW.EQRM.WK; 2. SG.NGT.WORK.EQ; 3. SG.DNG.WORK.DN.EQ; 4. SG.IND.WORK.EQ (= 25 points each) and scaling the result to 100.

In Iceland, there is an income gap between men and women. Between 2008 and 2021, women earned significantly less than men per hour. However, the gap decreased gradually since 2013, falling to nine percent by 2022. Despite this income disparity, Iceland topped the rankings for gender equality in 2023> due to the high level of living standards, female representation in business and politics, and maternal benefits.

Time series data for the statistic Women, Business and the Law: Pay Indicator Score (scale 1-100) and country Sierra Leone. Indicator Definition:The Pay indicator measures laws affecting occupational segregation and the gender wage gap. The Pay indicator score is obtained by calculating the unweighted average of the following: 1. SG.LAW.EQRM.WK; 2. SG.NGT.WORK.EQ; 3. SG.DNG.WORK.DN.EQ; 4. SG.IND.WORK.EQ (= 25 points each) and scaling the result to 100.

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 Upson County. 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 Upson County, the median income for all workers aged 15 years and older, regardless of work hours, was $40,397 for males and $21,407 for females.

These income figures highlight a substantial gender-based income gap in Upson County. Women, regardless of work hours, earn 53 cents for each dollar earned by men. This significant gender pay gap, approximately 47%, underscores concerning gender-based income inequality in the county of Upson County.

- Full-time workers, aged 15 years and older: In Upson County, among full-time, year-round workers aged 15 years and older, males earned a median income of $59,402, while females earned $38,183, leading to a 36% gender pay gap among full-time workers. This illustrates that women earn 64 cents for each dollar earned by men in full-time roles. This level of income gap emphasizes the urgency to address and rectify this ongoing disparity, where women, despite working full-time, face a more significant wage discrepancy compared to men in the same employment roles.

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 Upson County, showcasing a consistent income pattern irrespective of employment status.

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 Upson County median household income by race. You can refer the same here

The statistic shows the female to male earnings ratio in the United States in the fourth quarter of 2022, based on the median income in current U.S. dollars, by age group. In the fourth quarter of 2022, the earnings ratio of female to male workers aged between 16 to 24 years was at about 92.9 percent.

Ireland - Gender differences in the relative income of elderly people (65+) was 0.12% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Ireland - Gender differences in the relative income of elderly people (65+) - last updated from the EUROSTAT on September of 2025. Historically, Ireland - Gender differences in the relative income of elderly people (65+) reached a record high of 0.32% in December of 2012 and a record low of 0.04% in December of 2023.

Time series data for the statistic Women, Business and the Law: Pay Indicator Score (scale 1-100) and country Liberia. Indicator Definition:The Pay indicator measures laws affecting occupational segregation and the gender wage gap. The Pay indicator score is obtained by calculating the unweighted average of the following: 1. SG.LAW.EQRM.WK; 2. SG.NGT.WORK.EQ; 3. SG.DNG.WORK.DN.EQ; 4. SG.IND.WORK.EQ (= 25 points each) and scaling the result to 100.

Time series data for the statistic Women, Business and the Law: Pay Indicator Score (scale 1-100) and country Maldives. Indicator Definition:The Pay indicator measures laws affecting occupational segregation and the gender wage gap. The Pay indicator score is obtained by calculating the unweighted average of the following: 1. SG.LAW.EQRM.WK; 2. SG.NGT.WORK.EQ; 3. SG.DNG.WORK.DN.EQ; 4. SG.IND.WORK.EQ (= 25 points each) and scaling the result to 100.

Time series data for the statistic Women, Business and the Law: Pay Indicator Score (scale 1-100) and country Suriname. Indicator Definition:The Pay indicator measures laws affecting occupational segregation and the gender wage gap. The Pay indicator score is obtained by calculating the unweighted average of the following: 1. SG.LAW.EQRM.WK; 2. SG.NGT.WORK.EQ; 3. SG.DNG.WORK.DN.EQ; 4. SG.IND.WORK.EQ (= 25 points each) and scaling the result to 100.