In 2023, the median usual weekly earnings of employed women in the United States was 1,005 U.S. dollars. Dollar value is based on 2023 U.S. dollars. In 1979, the median weekly earnings of women in full-time employment was 717 constant 2023 U.S. dollars. Median weekly earnings for women unadjusted for inflation can be found here.

This scatter chart displays female population (people) against inflation (annual %). The data is about countries.

According to a 2023 survey by Rakuten Insight on inflation in Indonesia, more female respondents actively sought out deals, shopped at discount stores, and bought cheaper groceries compared to male respondents. In comparison, cutting back on energy costs due to inflation was more popular among male participants.

According to a 2023 survey by Rakuten Insight on inflation in the Philippines, the majority of both male and female respondents stated that they reduced their frequency or stopped doing any leisure activities such as dining out, going to bars and cinema to cope with inflation. Noticeably, more female respondents indicated buying cheaper groceries than their male counterparts.

This scatter chart displays female population (people) against inflation (annual %) in Chad. The data is filtered where the date is 2021. The data is about countries per year.

According to a 2023 survey by Rakuten Insight on inflation in Thailand, over half of the female and male respondents indicated that they had to be cautious with their expenses. Around **** percent of the female and ** percent of male survey participants said they were not impacted at all by inflation.

This scatter chart displays female population (people) against inflation (annual %) in Croatia. The data is filtered where the date is 2021. The data is about countries per year.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Women's and Girls' Apparel in U.S. City Average (CUSR0000SAA2) from Jan 1947 to Sep 2025 about apparel, females, urban, consumer, CPI, inflation, price index, indexes, price, 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 Morocco. 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 Morocco, the median income for all workers aged 15 years and older, regardless of work hours, was $42,279 for males and $25,066 for females.

These income figures highlight a substantial gender-based income gap in Morocco. Women, regardless of work hours, earn 59 cents for each dollar earned by men. This significant gender pay gap, approximately 41%, underscores concerning gender-based income inequality in the town of Morocco.

- Full-time workers, aged 15 years and older: In Morocco, among full-time, year-round workers aged 15 years and older, males earned a median income of $51,016, while females earned $42,566, leading to a 17% gender pay gap among full-time workers. This illustrates that women earn 83 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Morocco.

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

India IESH: RBI: Inflation Expectations: Female: Current: Mean data was reported at 9.400 % in Sep 2018. This records an increase from the previous number of 8.800 % for Jun 2018. India IESH: RBI: Inflation Expectations: Female: Current: Mean data is updated monthly, averaging 10.500 % from Sep 2008 (Median) to Sep 2018, with 45 observations. The data reached an all-time high of 12.700 % in Sep 2014 and a record low of 5.400 % in Mar 2009. India IESH: RBI: Inflation Expectations: Female: Current: Mean data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Business and Economic Survey – Table IN.SC002: Inflation Expectations Survey of Households (IESH): Reserve Bank of India: Inflation Expectations: by Gender.

India IESH: RBI: Inflation Expectations: Female: Three Months Ahead: Mean data was reported at 10.100 % in Sep 2018. This records an increase from the previous number of 9.500 % for Jun 2018. India IESH: RBI: Inflation Expectations: Female: Three Months Ahead: Mean data is updated monthly, averaging 10.800 % from Sep 2008 (Median) to Sep 2018, with 45 observations. The data reached an all-time high of 12.900 % in Sep 2014 and a record low of 5.600 % in Mar 2009. India IESH: RBI: Inflation Expectations: Female: Three Months Ahead: Mean data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Business and Economic Survey – Table IN.SC002: Inflation Expectations Survey of Households (IESH): Reserve Bank of India: Inflation Expectations: by Gender.

Graph and download economic data for Producer Price Index by Industry: Women's Clothing Stores: Women's Clothing Store Services (DISCONTINUED) (PCU4481204481201) from Jun 2003 to May 2015 about apparel, females, services, PPI, industry, inflation, price index, indexes, price, 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 Wetumpka. 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 Wetumpka, the median income for all workers aged 15 years and older, regardless of work hours, was $36,681 for males and $37,604 for females.

Contrary to expectations, women in Wetumpka, women, regardless of work hours, earn a higher income than men, earning 1.03 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 Wetumpka, among full-time, year-round workers aged 15 years and older, males earned a median income of $46,078, while females earned $51,035

Contrary to expectations, in Wetumpka, women, earn a higher income than men, earning 1.11 dollars for every dollar earned by men. This analysis showcase a consistent trend of women outearning men, when working full-time or part-time in the city of Wetumpka.

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

This scatter chart displays inflation (annual %) against proportion of seats held by women in national parliaments (%). The data is about countries.

India IESH: RBI: Inflation Expectations: Female: One Year Ahead: Median data was reported at 10.000 % in Sep 2018. This records a decrease from the previous number of 10.200 % for Jun 2018. India IESH: RBI: Inflation Expectations: Female: One Year Ahead: Median data is updated monthly, averaging 10.200 % from Jun 2012 (Median) to Sep 2018, with 30 observations. The data reached an all-time high of 16.100 % in Sep 2014 and a record low of 8.000 % in Sep 2017. India IESH: RBI: Inflation Expectations: Female: One Year Ahead: Median data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Business and Economic Survey – Table IN.SC002: Inflation Expectations Survey of Households (IESH): Reserve Bank of India: Inflation Expectations: by Gender.

Graph and download economic data for Producer Price Index by Commodity: Textile Products and Apparel: Women's, Girls', and Infants' Fabric, Straw, and Felt Hats, Made from Purchased Materials (WPU03810415) from Dec 2009 to Jul 2025 about infant, textiles, fabrication, apparel, females, child, commodities, PPI, inflation, price index, indexes, price, 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 Norway. 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 Norway, the median income for all workers aged 15 years and older, regardless of work hours, was $49,167 for males and $38,750 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 21% between the median incomes of males and females in Norway. With women, regardless of work hours, earning 79 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Norway.

- Full-time workers, aged 15 years and older: In Norway, among full-time, year-round workers aged 15 years and older, males earned a median income of $63,333, while females earned $38,750, leading to a 39% gender pay gap among full-time workers. This illustrates that women earn 61 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 lower gender pay gap percentage. This indicates that Norway offers better opportunities for women in non-full-time positions.

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

This scatter chart displays female population (people) against inflation (annual %) in Georgia. The data is filtered where the date is 2021. The data is about countries per year.

India IESH: RBI: Inflation Expectations: Female: Three Months Ahead: Median data was reported at 9.400 % in Nov 2018. This records a decrease from the previous number of 9.800 % for Sep 2018. India IESH: RBI: Inflation Expectations: Female: Three Months Ahead: Median data is updated monthly, averaging 9.400 % from Jun 2012 (Median) to Nov 2018, with 31 observations. The data reached an all-time high of 15.100 % in Sep 2014 and a record low of 7.100 % in Dec 2016. India IESH: RBI: Inflation Expectations: Female: Three Months Ahead: Median data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Business and Economic Survey – Table IN.SC002: Inflation Expectations Survey of Households (IESH): Reserve Bank of India: Inflation Expectations: by Gender.

Graph and download economic data for Producer Price Index by Commodity: Textile Products and Apparel: Women's and Girls' Nontailored Coats, Jackets, Vests, and Washable Service Apparel, Made from Purchased Materials (MFPM) (WPU03810639) from Dec 2009 to Dec 2022 about textiles, apparel, females, child, services, commodities, PPI, inflation, price index, indexes, price, and USA.