A dataset that explores Green Card sponsorship trends, salary data, and employer insights for statistics in the U.S.

As of February 2024, the average Indonesian employee could expect a net monthly salary of around three million Indonesian rupiah. The highest recorded average monthly net salary was in August 2023, reaching around 3.2 million Indonesian rupiah.

Monthly data on federally administered Supplemental Security Income payments.

Abstract

This survey provides salaries & wages statistics at the national level. The survey also provides aggregate data by state as well as urban and rural areas. The survey was carried out using the household approach covering all states in Malaysia. Salaries & Wages Survey uses the personal interview method. During the survey period, trained interviewers visit households in selected living quarters (LQs) to collect demographic information on all household members and salaries & wages particulars of household members aged 15 years and over. The main objective is to collect information on monthly salaries & wages form the principal occupation of paid employee in public and private sectors. The main statistics reported are median and mean monthly salaries & wages by sex, ethnic group, educational attainment, strata, state, occupation and industry. The results of these statistics is published in the 'Salaries & Wages Survey Report'.

Starting with the Salaries & Wages Report 2017, the main statistics presented in the report is for the citizens. Meanwhile, the salaries & wages selected statistics consists of non citizens is shown in a separate table.

Geographic coverage

This survey provides estimates at national and state level as well as urban and rural areas.

Geographic coverage notes

National level.

Analysis unit

Household/Individual

Universe

All household members and salaries & wages particulars of household members aged 15 years and over.

Kind of data

Sample survey data [ssd]

Frequency of data collection

Monthly

Sampling procedure

The survey is carried out using probability sampling through household approach comprising Malaysian citizens and non-citizens. The survey is carried out using probability sampling through household approach comprising Malaysian citizens and non-citizens.

Mode of data collection

Face-to-face [f2f]

In 2021, for college degree holders, product manager has the highest salaries in comparison to other entry-level tech jobs in the United States, bringing in an average salary of 102,156 U.S. dollars annually. Social media/community manager positions are the least lucratice tech entry jobs, with an annual wage of 48,994 U.S. dollars.

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 Wyoming. 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 Wyoming, the median income for all workers aged 15 years and older, regardless of work hours, was $43,778 for males and $30,565 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 30% between the median incomes of males and females in Wyoming. With women, regardless of work hours, earning 70 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Wyoming.

- Full-time workers, aged 15 years and older: In Wyoming, among full-time, year-round workers aged 15 years and older, males earned a median income of $57,512, while females earned $45,986, leading to a 20% gender pay gap among full-time workers. This illustrates that women earn 80 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.

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

Graph and download economic data for Employed: Workers paid hourly rates: Wage and salary workers: Community and social services occupations: 16 years and over (LEU0204835000A) from 2000 to 2024 about community, paid, occupation, salaries, workers, hours, 16 years +, wages, services, employment, rate, 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 Union Vale town. 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 Union Vale town, the median income for all workers aged 15 years and older, regardless of work hours, was $72,438 for males and $35,536 for females.

These income figures highlight a substantial gender-based income gap in Union Vale town. Women, regardless of work hours, earn 49 cents for each dollar earned by men. This significant gender pay gap, approximately 51%, underscores concerning gender-based income inequality in the town of Union Vale town.

- Full-time workers, aged 15 years and older: In Union Vale town, among full-time, year-round workers aged 15 years and older, males earned a median income of $95,371, while females earned $70,284, leading to a 26% gender pay gap among full-time workers. This illustrates that women earn 74 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 Union Vale town.

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 Union Vale town median household income by race. You can refer the same here

Population and sample of wages (salaries) statistics by economic activity (emtak 2003) (2000–2008, quarters).

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 Waller. 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 Waller, the median income for all workers aged 15 years and older, regardless of work hours, was $37,774 for males and $29,015 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 23% between the median incomes of males and females in Waller. With women, regardless of work hours, earning 77 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Waller.

- Full-time workers, aged 15 years and older: In Waller, among full-time, year-round workers aged 15 years and older, males earned a median income of $46,509, while females earned $36,377, leading to a 22% gender pay gap among full-time workers. This illustrates that women earn 78 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.

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

The American Statistician Abstract & Indexing - ResearchHelpDesk - The American Statistician is a quarterly peer-reviewed scientific journal covering statistics published by Taylor & Francis on behalf of the American Statistical Association. It was established in 1947 and the editor-in-chief is Daniel R. Jeske (University of California, Riverside). Abstract & indexing American Mathematical Society American Statistical Association CABI (various) De Gruyter Saur (various) EBSCOhost (various) Scopus Computer Abstracts International Database Gale (various) Genamics JournalSeek Social Sciences Index Wilson Business Abstracts INIS Collection Search (International Nuclear Information System) PubMed ArticleFirst Education Index (Online) Periodical Abstracts Wilson Business Abstracts GeoRef Personal Alert (Email) ProQuest (various) Zentralblatt MATH (Online) Statistical Theory and Method Abstracts (CD-ROM) Research into Higher Education Abstracts (Online) Current Contents Science Citation Index Expanded Web of Science zbMATH

Average hourly and weekly wage rate, and median hourly and weekly wage rate by North American Industry Classification System (NAICS), type of work, gender, and age group.

Historical Employment Statistics 1990 - current. The Current Employment Statistics (CES) more information program provides the most current estimates of nonfarm employment, hours, and earnings data by industry (place of work) for the nation as a whole, all states, and most major metropolitan areas. The CES survey is a federal-state cooperative endeavor in which states develop state and sub-state data using concepts, definitions, and technical procedures prescribed by the Bureau of Labor Statistics (BLS). Estimates produced by the CES program include both full- and part-time jobs. Excluded are self-employment, as well as agricultural and domestic positions. In Connecticut, more than 4,000 employers are surveyed each month to determine the number of the jobs in the State. For more information please visit us at http://www1.ctdol.state.ct.us/lmi/ces/default.asp.

This statistic depicts the willingness to pay a premium for food that offers benefits beyond basic nutrition among consumers in the United States in 2018, broken down by generation. In that year, 50 percent of younger Millennials were willing to pay extra for food that offered added benefits, compared to only 25 percent of retirees and seniors.

Salaries and Employee Benefits Statistics - Managerial and Professional Employees (Excluding Top Management) - Table 220-25002 : Real Salary Indices (A) for middle-level managerial and professional employees by industry section (June 1995 = 100)

Explore the progression of average salaries for graduates in Business Concentrations Finance Statistics from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Business Concentrations Finance Statistics relative to other fields. This data is essential for students assessing the return on investment of their education in Business Concentrations Finance Statistics, providing a clear picture of financial prospects post-graduation.