Average Weekly Hours in the United States decreased to 34.20 Hours in June from 34.30 Hours in May of 2025. This dataset provides - United States Average Weekly Hours - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Average actual weekly hours worked by industry, including by sex, UK, rolling three-monthly figures published quarterly. Labour Force Survey. These are official statistics in development.

This dataset provides values for AVERAGE WEEKLY HOURS reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Number of average usual hours and average actual hours worked in a reference week by type of work (full- and part-time employment), job type (main or all jobs), gender, and age group, annual.

This table contains 39 series, with data for years 1998 - 2004 (not all combinations necessarily have data for all years), and is no longer being released. 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; ...), Age group (3 items: Total population;Children 2 to 11 years;Teens 12 to 17 years)

This dataset represents the statewide average hours worked per week of Department of Rehabilitation’s total successful closures in State Fiscal Years 2014 through 2023 by county.

Average Weekly Hours in China remained unchanged at 48.50 Hours in June. This dataset includes a chart with historical data for China Average Weekly Hours.

In the Organization for Economic Cooperation and Development (OECD), the average Colombian worker put in the most hours in 2022, with ***** hours, or **** hours per week. German workers spent the least amount of time on the job, with ***** hours on average that year, equal to **** hours per week.

This table contains 234 series, with data for years 1999 - 2007 (not all combinations necessarily have data for all years), and is no longer being released. 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; ...), Audience characteristics (18 items: Total audience population 12 years and over;Teens 12 to 17 years;Males 18 years and over;Males 18 to 24 years; ...).

Average Weekly Hours in France increased to 31.20 Hours in the first quarter of 2025 from 31.10 Hours in the fourth quarter of 2024. This dataset includes a chart with historical data for France Average Weekly Hours.

Average Weekly Hours in Singapore decreased to 43.30 Hours in 2024 from 43.60 Hours in 2023. This dataset provides - Singapore Average Weekly Hours- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Average Weekly Hours in Sweden increased to 32.10 Hours in May from 29.90 Hours in April of 2025. This dataset includes a chart with historical data for Sweden Average Weekly Hours.

This table contains 156 series, with data for years 1998 - 2004 (not all combinations necessarily have data for all years), and is no longer being released. 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; ...), Sex (2 items: Males;Females), Age group (6 items: 18 years and over;18 to 24 years;25 to 34 years;35 to 49 years; ...).

Actual weekly hours worked including by sex, full-time, part-time and second jobs, UK, rolling three-monthly figures published monthly, seasonally adjusted. Labour Force Survey. These are official statistics in development.

How much time do people spend on social media? As of 2025, the average daily social media usage of internet users worldwide amounted to 141 minutes per day, down from 143 minutes in the previous year. Currently, the country with the most time spent on social media per day is Brazil, with online users spending an average of 3 hours and 49 minutes on social media each day. In comparison, the daily time spent with social media in the U.S. was just 2 hours and 16 minutes. Global social media usageCurrently, the global social network penetration rate is 62.3 percent. Northern Europe had an 81.7 percent social media penetration rate, topping the ranking of global social media usage by region. Eastern and Middle Africa closed the ranking with 10.1 and 9.6 percent usage reach, respectively. People access social media for a variety of reasons. Users like to find funny or entertaining content and enjoy sharing photos and videos with friends, but mainly use social media to stay in touch with current events friends. Global impact of social mediaSocial media has a wide-reaching and significant impact on not only online activities but also offline behavior and life in general. During a global online user survey in February 2019, a significant share of respondents stated that social media had increased their access to information, ease of communication, and freedom of expression. On the flip side, respondents also felt that social media had worsened their personal privacy, increased a polarization in politics and heightened everyday distractions.

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 Great Scott township. 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 Great Scott township, the median income for all workers aged 15 years and older, regardless of work hours, was $57,250 for males and $22,625 for females.

These income figures highlight a substantial gender-based income gap in Great Scott township. Women, regardless of work hours, earn 40 cents for each dollar earned by men. This significant gender pay gap, approximately 60%, underscores concerning gender-based income inequality in the township of Great Scott township.

- Full-time workers, aged 15 years and older: In Great Scott township, among full-time, year-round workers aged 15 years and older, males earned a median income of $90,750, while females earned $47,250, leading to a 48% gender pay gap among full-time workers. This illustrates that women earn 52 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 Great Scott township, 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 Great Scott township median household income by race. You can refer the same here

This Dataset comes from Mahmoud Elhemaly.

I've modified this dataset since it had no correlation between the variables. I've used it for data visualization on Tableau. Many columns contains NON ACCURATE DATA.

Description

Student Performance & Behavior Dataset This dataset is real data of 5,000 records collected from a private learning provider. The dataset includes key attributes necessary for exploring patterns, correlations, and insights related to academic performance.

Columns:

Student_ID: Unique identifier for each student.

First_Name: Student’s first name.

Last_Name: Student’s last name.

Email: Contact email (can be anonymized).

Gender: Male, Female, Other.

Age: The age of the student.

Department: Student's department (e.g., CS, Engineering, Business).

Attendance (%): Attendance percentage (0-100%).

Participation_Score: Score based on class participation (0-10).

Projects_Score: Project evaluation score (out of 100).

Total_Score: Weighted sum of all grades.

Grade: Letter grade (A, B, C, D, F).

Study_Hours_per_Week: Average study hours per week.

Extracurricular_Activities: Whether the student participates in extracurriculars (Yes/No).

Internet_Access_at_Home: Does the student have access to the internet at home? (Yes/No).

Parent_Education_Level: Highest education level of parents (None, High School, Bachelor's, Master's, PhD).

Family_Income_Level: Low, Medium, High.

Stress_Level (1-10): Self-reported stress level (1: Low, 10: High).

Sleep_Hours_per_Night: Average hours of sleep per night.

Sleep_Hours_per_Night_Entier: with integrer only

Country: Country of origin

Dataset contains:

Missing values (nulls): in some records (e.g., Attendance, Assignments, or Parent Education Level).

Bias in some Datae (ex: grading e.g., students with high attendance get slightly better grades).

Imbalanced distributions (e.g., some departments having more students).

Average Weekly Hours in Ireland remained unchanged at 32.40 Hours in the first quarter of 2025 from 32.40 Hours in the fourth quarter of 2024. This dataset provides - Ireland Average Weekly Paid Hours- actual values, historical data, forecast, chart, statistics, economic calendar and news.

This dataset provides values for AVERAGE WEEKLY HOURS reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Analysis of ‘Number of (compulsory) hours awarded (average number of hours per week) in the field of technology in public primary schools by district and grade ’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/bb393ac9-a709-435c-88ec-65b8e14f460a on 13 January 2022.

--- Dataset description provided by original source is as follows ---

Number of (compulsory) hours awarded (average number of hours per week) in the field of technology in public primary schools by district and grade

These data are part of the reply of the Provincial Government to the major question from the SPD * * Group of the SPD * * teaching quality at the primary schools of Schleswig-Holstein in the school year 2018/19 * *. The entire reply can be found at the Schleswig-Holstein Parliament as document 19/1723.

The character set of the CSV files is ISO 8859-1 and the column separator is semicolon. The CSV files should therefore also be easily opened with Excel.

--- Original source retains full ownership of the source dataset ---