CO: Average Hours Worked per Person Employed: Annual Growth: Total data was reported at -0.410 % in 2022. This records a decrease from the previous number of 11.460 % for 2021. CO: Average Hours Worked per Person Employed: Annual Growth: Total data is updated yearly, averaging -0.150 % from Dec 2016 (Median) to 2022, with 7 observations. The data reached an all-time high of 11.460 % in 2021 and a record low of -13.140 % in 2020. CO: Average Hours Worked per Person Employed: Annual Growth: Total data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Colombia – Table CO.OECD.PDB: Hours Worked: by Industry: OECD Member: Annual.

The ordinary weekly working hours in Sweden are stated to equal 40 hours. However, the actual average reported weekly working hours was around 30 hours per week during the period from 2012 to 2022. In 2022, an actual working week amounted to 30 hours on average for both part-time and full-time employees.

Highest number of weekly working hours among self-employed

The highest actual average weekly working hours in 2023 were among self-employed, who worked 32.3 hours per week. Around 514,000 people in Sweden are self-employed, and the highest number of them were between 45 and 54 years old.

 25 to 54-year old worked the most hours

The lowest number of actual average working hours per week was among the youngest in the working population, aged 15 to 24 years. They worked on average 25.4 hours per week. The highest actual working hours were among 25 to 54-year old people, who worked on average 31 hours per week.

In May 2025, surveyed employees of enterprises in China worked an average of **** hours per week. During 2024, the average weekly working hours of surveyed people employed in Chinese enterprises amounted to around 48.7 hours on average.

Malta Average Hours Worked per Person Employed: Annual Growth: Total data was reported at -2.210 % in 2022. This records a decrease from the previous number of 0.040 % for 2021. Malta Average Hours Worked per Person Employed: Annual Growth: Total data is updated yearly, averaging -0.745 % from Dec 2001 (Median) to 2022, with 22 observations. The data reached an all-time high of 4.100 % in 2019 and a record low of -7.580 % in 2020. Malta Average Hours Worked per Person Employed: Annual Growth: Total data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Malta – Table MT.OECD.PDB: Hours Worked: by Industry: Non OECD Member: Annual.

In 2024, the average number of working hours recorded by employees in Japan was about ***** hours per month. The average working hours reached a record low of around *** hours in 2020.

Colombia CO: Average Hours Worked per Person Employed: Annual Growth: Agriculture, Forestry and Fishing data was reported at -3.120 % in 2022. This records a decrease from the previous number of 13.520 % for 2021. Colombia CO: Average Hours Worked per Person Employed: Annual Growth: Agriculture, Forestry and Fishing data is updated yearly, averaging -1.450 % from Dec 2016 (Median) to 2022, with 7 observations. The data reached an all-time high of 13.520 % in 2021 and a record low of -18.060 % in 2020. Colombia CO: Average Hours Worked per Person Employed: Annual Growth: Agriculture, Forestry and Fishing data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Colombia – Table CO.OECD.PDB: Hours Worked: by Industry: OECD Member: Annual.

Graph and download economic data for Average Weekly Hours of All Employees, Construction (AWHAECON) from Mar 2006 to May 2025 about establishment survey, hours, construction, employment, and USA.

United States - Business Sector: Average Weekly Hours Worked for All Employed Persons was -0.20000 % Chg. at Annual Rate in January of 2025, according to the United States Federal Reserve. Historically, United States - Business Sector: Average Weekly Hours Worked for All Employed Persons reached a record high of 6.30000 in July of 2020 and a record low of -6.10000 in April of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Business Sector: Average Weekly Hours Worked for All Employed Persons - last updated from the United States Federal Reserve on July of 2025.

Malta Average Hours Worked per Person Employed: Annual Growth: Wholesale Retail Trade Accommodation Food Services, Transportation and Storage data was reported at -2.420 % in 2022. This records a decrease from the previous number of 4.970 % for 2021. Malta Average Hours Worked per Person Employed: Annual Growth: Wholesale Retail Trade Accommodation Food Services, Transportation and Storage data is updated yearly, averaging -0.755 % from Dec 2001 (Median) to 2022, with 22 observations. The data reached an all-time high of 4.970 % in 2021 and a record low of -15.720 % in 2020. Malta Average Hours Worked per Person Employed: Annual Growth: Wholesale Retail Trade Accommodation Food Services, Transportation and Storage data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Malta – Table MT.OECD.PDB: Hours Worked: by Industry: Non OECD Member: Annual.

Mexico Average Hours Worked per Person Employed: Index: Agriculture, Forestry and Fishing data was reported at 101.490 2015=100 in 2022. This records an increase from the previous number of 101.330 2015=100 for 2021. Mexico Average Hours Worked per Person Employed: Index: Agriculture, Forestry and Fishing data is updated yearly, averaging 101.475 2015=100 from Dec 2005 (Median) to 2022, with 18 observations. The data reached an all-time high of 108.260 2015=100 in 2005 and a record low of 99.720 2015=100 in 2013. Mexico Average Hours Worked per Person Employed: Index: Agriculture, Forestry and Fishing data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Mexico – Table MX.OECD.PDB: Hours Worked: by Industry: OECD Member: Annual.

Malta Average Hours Worked per Person Employed: Index: Professional, Scientific and Technical Activities, Administrative and Support Service Activities data was reported at 101.310 2015=100 in 2019. This records an increase from the previous number of 99.560 2015=100 for 2018. Malta Average Hours Worked per Person Employed: Index: Professional, Scientific and Technical Activities, Administrative and Support Service Activities data is updated yearly, averaging 115.655 2015=100 from Dec 2000 (Median) to 2019, with 20 observations. The data reached an all-time high of 120.900 2015=100 in 2005 and a record low of 99.560 2015=100 in 2018. Malta Average Hours Worked per Person Employed: Index: Professional, Scientific and Technical Activities, Administrative and Support Service Activities data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Malta – Table MT.OECD.PDB: Hours Worked: by Industry: Non OECD Member: Annual.

Nepal Average Hours Worked per Week: Usual: Male: Information & Communication data was reported at 47.000 Hour in 2018. Nepal Average Hours Worked per Week: Usual: Male: Information & Communication data is updated yearly, averaging 47.000 Hour from Jun 2018 (Median) to 2018, with 1 observations. Nepal Average Hours Worked per Week: Usual: Male: Information & Communication data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Nepal – Table NP.G019: Nepal Labour Force Survey III: Average Hours Worked per Week: by Industry.

Nepal Average Hours Worked per Week: Actual: Managers data was reported at 44.000 Hour in 2018. Nepal Average Hours Worked per Week: Actual: Managers data is updated yearly, averaging 44.000 Hour from Jun 2018 (Median) to 2018, with 1 observations. Nepal Average Hours Worked per Week: Actual: Managers data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Nepal – Table NP.G018: Nepal Labour Force Survey III: Average Hours Worked per Week: by Occupation.

Wages in the United States increased to 31.24 USD/Hour in June from 31.15 USD/Hour in May of 2025. This dataset provides - United States Average Hourly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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 China. 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 China, the median income for all workers aged 15 years and older, regardless of work hours, was $58,750 for males and $30,313 for females.

These income figures highlight a substantial gender-based income gap in China. Women, regardless of work hours, earn 52 cents for each dollar earned by men. This significant gender pay gap, approximately 48%, underscores concerning gender-based income inequality in the city of China.

Surprisingly, within the subset of full-time workers, women earn a higher income than men, earning 1.12 dollars for every dollar earned by men. This suggests that within full-time roles, womens median incomes significantly surpass mens, contrary to broader workforce trends.

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

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

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 Industry. 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 Industry, the Census Bureau did not report the median income for all workers aged 15 years and older, regardless of work hours, for both males and females due to an insufficient number of sample observations.

Due to unavailability of income data for both males and females, conducting a comprehensive analysis of gender-based pay disparity in the city of Industry was not possible.

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 Industry 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 Groton Long Point. 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 Groton Long Point, the median income for all workers aged 15 years and older, regardless of work hours, was $92,500 for males and $49,375 for females.

These income figures highlight a substantial gender-based income gap in Groton Long Point. 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 borough of Groton Long Point.

Surprisingly, within the subset of full-time workers, women earn a higher income than men, earning 1.09 dollars for every dollar earned by men. This suggests that within full-time roles, womens median incomes significantly surpass mens, contrary to broader workforce trends.

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 Groton Long Point median household income by race. You can refer the same here

Colombia CO: Average Hours Worked per Person Employed: Index: Agriculture, Forestry and Fishing data was reported at 86.750 2015=100 in 2022. This records a decrease from the previous number of 89.540 2015=100 for 2021. Colombia CO: Average Hours Worked per Person Employed: Index: Agriculture, Forestry and Fishing data is updated yearly, averaging 96.010 2015=100 from Dec 2015 (Median) to 2022, with 8 observations. The data reached an all-time high of 100.000 2015=100 in 2015 and a record low of 78.880 2015=100 in 2020. Colombia CO: Average Hours Worked per Person Employed: Index: Agriculture, Forestry and Fishing data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Colombia – Table CO.OECD.PDB: Hours Worked: by Industry: OECD Member: Annual.

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 Holliday. 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 Holliday, the median income for all workers aged 15 years and older, regardless of work hours, was $35,114 for males and $19,375 for females.

These income figures highlight a substantial gender-based income gap in Holliday. Women, regardless of work hours, earn 55 cents for each dollar earned by men. This significant gender pay gap, approximately 45%, underscores concerning gender-based income inequality in the village of Holliday.

Surprisingly, within the subset of full-time workers, women earn a higher income than men, earning 1.06 dollars for every dollar earned by men. This suggests that within full-time roles, womens median incomes significantly surpass mens, contrary to broader workforce trends.

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