In 2023, the hours worked by employees on the main job in Switzerland remained nearly unchanged at around ***** hours per week per person. Still, 2023 marked the second consecutive decline of the hours worked in this industry.

In Sweden, people between 25 and 54 years of age had the on average highest number of weekly working hours from 2013 to 2023. In 2023, people in this age group worked 31.1 hours on average. The equivalent number for the oldest age group (55 to 74 years) was 29.2 hours, whereas it only was 24.4 hours for the youngest age group, which includes students who often work part-time. The average number of weekly working hours for all age groups in the country that year was 30 hours.

Graph and download economic data for Average Annual Hours Worked by Persons Engaged for Romania (AVHWPEROA065NRUG) from 1995 to 2019 about Romania, hours, labor force, labor, and persons.

Bolivia BO: Average Working Hours of Children: Study and Work: Female: Aged 7-14: Hours per Week data was reported at 22.890 Hour in 2015. This records an increase from the previous number of 21.132 Hour for 2013. Bolivia BO: Average Working Hours of Children: Study and Work: Female: Aged 7-14: Hours per Week data is updated yearly, averaging 21.132 Hour from Dec 2009 (Median) to 2015, with 3 observations. The data reached an all-time high of 22.890 Hour in 2015 and a record low of 17.200 Hour in 2009. Bolivia BO: Average Working Hours of Children: Study and Work: Female: Aged 7-14: Hours per Week data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bolivia – Table BO.World Bank.WDI: Labour Force. Average working hours of children studying and working refer to the average weekly working hours of those children who are attending school in combination with economic activity.;Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.;;

Graph and download economic data for Average Weekly Hours of All Employees: Information in California (SMU06000005000000002A) from 2007 to 2024 about information, hours, CA, 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 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

Sri Lanka LK: Average Working Hours of Children: Working Only: Male: Aged 7-14: Hours per Week data was reported at 25.900 Hour in 2009. Sri Lanka LK: Average Working Hours of Children: Working Only: Male: Aged 7-14: Hours per Week data is updated yearly, averaging 25.900 Hour from Dec 2009 (Median) to 2009, with 1 observations. Sri Lanka LK: Average Working Hours of Children: Working Only: Male: Aged 7-14: Hours per Week data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sri Lanka – Table LK.World Bank: Labour Force. Average working hours of children working only refers to the average weekly working hours of those children who are involved in economic activity and not attending school.; ; Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.; ;

Annual estimates of paid hours worked and earnings for UK employees by sex, and full-time and part-time, by age group.

Graph and download economic data for Average Weekly Hours of All Employees: Total Private in Washington (SMU53000000500000002) from Jan 2007 to Aug 2025 about WA, hours, private, employment, and USA.

Average Weekly Hours of All Employees: Education and Health Services in Montana was 33.70000 Hours per Week in January of 2024, according to the United States Federal Reserve. Historically, Average Weekly Hours of All Employees: Education and Health Services in Montana reached a record high of 34.70000 in January of 2019 and a record low of 32.00000 in January of 2007. Trading Economics provides the current actual value, an historical data chart and related indicators for Average Weekly Hours of All Employees: Education and Health Services in Montana - last updated from the United States Federal Reserve on October of 2025.

Number of employed persons by usual hours worked, class of worker, North American Industry Classification System (NAICS), and gender.

Average weekly hours (including overtime) for employees paid by the hour, by enterprise size and North American Industry Classification System (NAICS), last 5 years.

Total number of annual workers. Both monthly and hourly paid are included. The number of annual workers is calculated using the actual employment rate of monthly paid and hours worked for hourly paid workers. Annual workers indicate how many employees the municipality would have had if the actual employment rate of monthly paid and hours worked for hourly paid workers were added to full-time employment. Refers to municipal employees (HÖK) in the month of November. Employees of municipal associations/municipal companies are not included. Data is available according to gender breakdown.

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 Washington. 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 Washington, the median income for all workers aged 15 years and older, regardless of work hours, was $77,818 for males and $64,201 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 17% between the median incomes of males and females in Washington. With women, regardless of work hours, earning 83 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Washington.

- Full-time workers, aged 15 years and older: In Washington, among full-time, year-round workers aged 15 years and older, males earned a median income of $110,582, while females earned $95,422, resulting in a 14% gender pay gap among full-time workers. This illustrates that women earn 86 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 Washington.

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 Washington.

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 Washington 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 Friona. 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 Friona, the median income for all workers aged 15 years and older, regardless of work hours, was $40,158 for males and $40,531 for females.

Contrary to expectations, women in Friona, women, regardless of work hours, earn a higher income than men, earning 1.01 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 Friona, among full-time, year-round workers aged 15 years and older, males earned a median income of $46,481, while females earned $45,666, resulting in a 2% gender pay gap among full-time workers. This illustrates that women earn 98 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 Friona.

Surprisingly, across all roles (including non-full-time employment), women had a higher median income compared to men in Friona. This might indicate a more favorable income scenario for female workers across different employment patterns within the city of Friona, especially 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 Friona median household income by race. You can refer the same here

This table contains 4288 series, with data for years 1991 - 2000 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia ...), Overtime (2 items: Including overtime; Excluding overtime ...), North American Industry Classification System (NAICS) (366 items: Industrial aggregate excluding unclassified businesses; Goods producing industries; Forestry; logging and support ...).

Congo, The Democratic Republic of the CD: Average Working Hours of Children: Working Only: Female: Aged 7-14: Hours per Week data was reported at 9.217 Hour in 2014. This records a decrease from the previous number of 11.200 Hour for 2010. Congo, The Democratic Republic of the CD: Average Working Hours of Children: Working Only: Female: Aged 7-14: Hours per Week data is updated yearly, averaging 10.208 Hour from Dec 2010 (Median) to 2014, with 2 observations. The data reached an all-time high of 11.200 Hour in 2010 and a record low of 9.217 Hour in 2014. Congo, The Democratic Republic of the CD: Average Working Hours of Children: Working Only: Female: Aged 7-14: Hours per Week data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Democratic Republic of Congo – Table CD.World Bank: Labour Force. Average working hours of children working only refers to the average weekly working hours of those children who are involved in economic activity and not attending school.; ; Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.; ;

Annual estimates of paid hours worked and earnings for UK employees by sex, and full-time and part-time, by region, and public and private sector, and non-profit bodies and mutual associations. Hourly and weekly estimates are provided for the pay period that included a specified date in April. They relate to employees on adult rates of pay, whose earnings for the survey pay period were not affected by absence. Estimates for 2020 and 2021 include employees who have been furloughed under the Coronavirus Job Retention Scheme (CJRS). Annual estimates are provided for the tax year that ended on 5th April in the reference year. They relate to employees on adult rates of pay who have been in the same job for more than a year.

Graph and download economic data for Average Weekly Hours of All Employees: Financial Activities in Louisiana (SMU22000005500000002A) from 2007 to 2024 about LA, hours, financial, 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 Yountville. 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 Yountville, the median income for all workers aged 15 years and older, regardless of work hours, was $34,646 for males and $37,963 for females.

Contrary to expectations, women in Yountville, women, regardless of work hours, earn a higher income than men, earning 1.1 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 Yountville, among full-time, year-round workers aged 15 years and older, males earned a median income of $53,972, while females earned $96,250

Contrary to expectations, in Yountville, women, earn a higher income than men, earning 1.78 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 Yountville.

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