This dataset, prepared by the Inter-university Consortium for Political and Social Research, comprises 2 percent of the cases in the second release of CENSUS OF POPULATION AND HOUSING, 1990 [UNITED STATES]: PUBLIC USE MICRODATA SAMPLE: 5-PERCENT SAMPLE (ICPSR 9952). As 2 percent of the 5-percent Public Use Microdata Sample (PUMS), it constitutes a 1-in-1,000 sample, and contains all housing and population variables in the original 5-percent PUMS. Housing variables include area type, state and area of residence, farm/nonfarm status, type of structure, year structure was built, vacancy and boarded-up status, number of rooms and bedrooms, presence or absence of a telephone, presence or absence of complete kitchen and plumbing facilities, type of sewage, water source, and heating fuel used, property value, tenure, year moved into housing unit, type of household/family, type of group quarters, household language, number of persons, related children, own/adopted children, and stepchildren in the household, number of persons and workers in the family, status of mortgage, second mortgage, and home equity loan, number of vehicles available, household income, sales of agricultural products, payments for rent, mortgage, and property tax, condominium fees, mobile home costs, and cost of electricity, water, heating fuel, and flood/fire/hazard insurance. Person variables cover age, sex, relationship to householder, educational attainment, school enrollment, race, Hispanic origin, ancestry, language spoken at home, citizenship, place of birth, year of immigration, place of residence in 1985, marital status, number of children ever born, presence and age of own children, military service, mobility and personal care limitation, work limitation status, employment status, employment status of parents, occupation, industry, class of worker, hours worked last week, weeks worked in 1989, usual hours worked per week, temporary absence from work, place of work, time of departure for work, travel time to work, means of transportation to work, number of occupants in vehicle during ride to work, total earnings, total income, wages and salary income, farm and nonfarm self-employment income, Social Security income, public assistance income, retirement income, and rent, dividends, and net rental income.

Weekly Working Hours: Avg: 2008 Census: PE: Local and Public Administration & Defence data was reported at 45.202 Hour in Mar 2018. This records an increase from the previous number of 44.098 Hour for Dec 2017. Weekly Working Hours: Avg: 2008 Census: PE: Local and Public Administration & Defence data is updated quarterly, averaging 43.900 Hour from Mar 2012 (Median) to Mar 2018, with 25 observations. The data reached an all-time high of 45.247 Hour in Mar 2017 and a record low of 42.088 Hour in Sep 2013. Weekly Working Hours: Avg: 2008 Census: PE: Local and Public Administration & Defence data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Israel – Table IL.G042: Weekly Working Hours: 2008 Census: 2011 Classification: by Industry.

Abstract (en): This data collection supplies standard monthly labor force data as well as supplemental data on work experience, income, and migration. Comprehensive information is given on the employment status, occupation, and industry of persons 14 years old and older. Additional data are available concerning weeks worked and hours per week worked, reason not working full-time, total income and income components, and residence. Information on demographic characteristics, such as age, sex, race, educational attainment, marital status, veteran status, household relationship, and Hispanic origin, is available for each person in the household enumerated. Persons in the civilian noninstitutional population of the United States living in households and members of the armed forces living in civilian housing units in 1969. A national probability sample was used in selecting housing units. (1) This hierarchical file contains 202,112 records. There are approximately 157 variables and two record types: family and person. Family records contain approximately 58 variables, and person records contain approximately 99 variables. (2) Each family and person record contains a weight, which must be used in any analysis. (3) This data file was obtained from the Data Program and Library Service (DPLS), University of Wisconsin. Some data management operations intended to store the data more efficiently were performed by DPLS. That organization also revised the original Census Bureau documentation. (4) The codebook is provided by ICPSR as a Portable Document Format (PDF) file. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided on the ICPSR Web site.

Census Key Statistics Table KS10: Hours Worked. Hours worked is the average number of hours worked a week for the last four weeks before the Census. Cells in this table have been randomly adjusted to avoid the release of confidential data. All data is © Crown Copyright 2003. Census day was 29 April 2001.

Abstract (en): The Public Use Microdata Sample (PUMS) 1-Percent Sample contains household and person records for a sample of housing units that received the "long form" of the 1990 Census questionnaire. Data items include the full range of population and housing information collected in the 1990 Census, including 500 occupation categories, age by single years up to 90, and wages in dollars up to $140,000. Each person identified in the sample has an associated household record, containing information on household characteristics such as type of household and family income. All persons and housing units in the United States. A stratified sample, consisting of a subsample of the household units that received the 1990 Census "long-form" questionnaire (approximately 15.9 percent of all housing units). 2006-01-12 All files were removed from dataset 85 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 83 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 82 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 81 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 80 and flagged as study-level files, so that they will accompany all downloads.1998-08-28 The following data files were replaced by the Census Bureau: the state files (Parts 1-56), Puerto Rico (Part 72), Geographic Equivalency File (Part 84), and Public Use Microdata Areas (PUMAS) Crossing State Lines (Part 99). These files now incorporate revised group quarters data. Parts 201-256, which were separate revised group quarters files for each state, have been removed from the collection. The data fields affected by the group quarters data revisions were POWSTATE, POWPUMA, MIGSTATE and MIGPUMA. As a result of the revisions, the Maine file (Part 23) gained 763 records and Part 99 lost 763 records. In addition, the following files have been added to the collection: Ancestry Code List, Place of Birth Code List, Industry Code List, Language Code List, Occupation Code List, and Race Code List (Parts 86-91). Also, the codebook is now available as a PDF file. (1) Although all records are 231 characters in length, each file is hierarchical in structure, containing a housing unit record followed by a variable number of person records. Both record types contain approximately 120 variables. Two improvements over the 1980 PUMS files have been incorporated. First, the housing unit serial number is identified on both the housing unit record and on the person record, allowing the file to be processed as a rectangular file. In addition, each person record is assigned an individual weight, allowing users to more closely approximate published reports. Unlike previous years, the 1990 PUMS 1-Percent and 5-Percent Samples have not been released in separate geographic series (known as "A," "B," etc. records). Instead, each sample has its own set of geographies, known as "Public Use Microdata Areas" (PUMAs), established by the Census Bureau with assistance from each State Data Center. The PUMAs in the 1-Percent Sample are based on a distinction between metropolitan and nonmetropolitan areas. Metropolitan areas encompass whole central cities, Primary Metropolitan Statistical Areas (PMSAs), Metropolitan Statistical Areas (MSAs), or groups thereof, except where the city or metropolitan area contains more than 200,000 inhabitants. In that case, the city or metropolitan area is divided into several PUMAs. Nonmetropolitan PUMAs are based on areas or groups of areas outside the central city, PMSA, or MSA. PUMAs in this 1-Percent Sample may cross state lines. (2) The codebook is provided as a Portable Document Format (PDF) file. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided through the ICPSR Website on the Internet.

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 Orleans. 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 Orleans, the median income for all workers aged 15 years and older, regardless of work hours, was $56,750 for males and $21,563 for females.

These income figures highlight a substantial gender-based income gap in Orleans. Women, regardless of work hours, earn 38 cents for each dollar earned by men. This significant gender pay gap, approximately 62%, underscores concerning gender-based income inequality in the city of Orleans.

- Full-time workers, aged 15 years and older: In Orleans, among full-time, year-round workers aged 15 years and older, males earned a median income of $80,833, while females earned $43,750, leading to a 46% gender pay gap among full-time workers. This illustrates that women earn 54 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 Orleans, 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 Orleans median household income by race. You can refer the same here

Federal, state, and local government employment data are provided in this file. Full- and part-time employment, full-time equivalency, and payroll statistics are included. Data are supplied by type of government (federal, state, county, city, township, special district, and school district) and by function. Governmental functions include education (elementary, secondary, and higher education), police and fire protection, financial administration, judicial and legal functions, highways, solid waste management and sewage, libraries, air and water transportation and terminals, state liquor stores, social insurance administration, housing and community development, utilities, public welfare, parks and recreation, health care, transit, and natural resources.

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 Oceana. 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 Oceana, the median income for all workers aged 15 years and older, regardless of work hours, was $19,776 for males and $24,444 for females.

Contrary to expectations, women in Oceana, women, regardless of work hours, earn a higher income than men, earning 1.24 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 Oceana, among full-time, year-round workers aged 15 years and older, males earned a median income of $38,387, while females earned $49,809

Contrary to expectations, in Oceana, women, earn a higher income than men, earning 1.3 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 town of Oceana.

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

Israel Weekly Working Hours: Avg: 2008 Census: PP: Financial and Insurance Activities data was reported at 33.100 Hour in Sep 2018. This records a decrease from the previous number of 35.496 Hour for Jun 2018. Israel Weekly Working Hours: Avg: 2008 Census: PP: Financial and Insurance Activities data is updated quarterly, averaging 36.600 Hour from Mar 2012 (Median) to Sep 2018, with 27 observations. The data reached an all-time high of 39.823 Hour in Mar 2017 and a record low of 33.100 Hour in Sep 2018. Israel Weekly Working Hours: Avg: 2008 Census: PP: Financial and Insurance Activities data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Israel – Table IL.G042: Weekly Working Hours: 2008 Census: 2011 Classification: by Industry.

The United States Census Bureau conducts a Census of Governments every five years -- in years ending in "2" or "7" -- to collect information about employment in the United States. The 1997 Census included approximately 87,000 state and local governments. This collection includes information regarding full-time and part-time employment, part-time employee hours worked, full-time equivalent employment, and payroll statistics by type of government (state, county, city, township, special district, and school district), and by governmental function. Government functions include elementary and secondary education, higher education, police protection, fire protection, financial administration, other government administration, judicial and legal, highways, public welfare, solid waste management, and sewerage. This function information also includes parks and recreation, health, hospitals, water supply, electric power, gas supply, transit, natural resources, correction, libraries, air transportation, water transport and terminals, other education, state liquor stores, social insurance administration, and housing and community development.

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 Joice. 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 Joice, the median income for all workers aged 15 years and older, regardless of work hours, was $49,219 for males and $27,212 for females.

These income figures highlight a substantial gender-based income gap in Joice. 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 city of Joice.

- Full-time workers, aged 15 years and older: In Joice, among full-time, year-round workers aged 15 years and older, males earned a median income of $55,625, while females earned $31,563, leading to a 43% gender pay gap among full-time workers. This illustrates that women earn 57 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 Joice, 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 Joice median household income by race. You can refer the same here

This dataset provides Census 2022 estimates for hours worked of people aged 16 and over in employment the week before the census in Scotland.

Hours worked

The number of hours that a person aged 16 or over work in their main job, or worked in their last main job if not working. This includes paid and unpaid overtime.

This definition refers to only the hours worked in a person’s main job, and is not a reflection of all the hours someone does in paid employment.

Details of classification can be found here

The quality assurance report can be found here

Israel Weekly Working Hours: Avg: 2008 Census: PP: Agriculture, Forestry & Fishing data was reported at 35.167 Hour in Sep 2018. This records a decrease from the previous number of 37.693 Hour for Jun 2018. Israel Weekly Working Hours: Avg: 2008 Census: PP: Agriculture, Forestry & Fishing data is updated quarterly, averaging 38.208 Hour from Mar 2012 (Median) to Sep 2018, with 27 observations. The data reached an all-time high of 43.949 Hour in Mar 2017 and a record low of 34.775 Hour in Sep 2013. Israel Weekly Working Hours: Avg: 2008 Census: PP: Agriculture, Forestry & Fishing data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Israel – Table IL.G042: Weekly Working Hours: 2008 Census: 2011 Classification: by Industry.

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 Connoquenessing. 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 Connoquenessing, the median income for all workers aged 15 years and older, regardless of work hours, was $68,125 for males and $36,458 for females.

These income figures highlight a substantial gender-based income gap in Connoquenessing. Women, regardless of work hours, earn 54 cents for each dollar earned by men. This significant gender pay gap, approximately 46%, underscores concerning gender-based income inequality in the borough of Connoquenessing.

- Full-time workers, aged 15 years and older: In Connoquenessing, among full-time, year-round workers aged 15 years and older, males earned a median income of $87,885, while females earned $70,500, 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.

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 Connoquenessing.

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

Israel Weekly Working Hours: Avg: 2008 Census: PE: Female: Administrative and Support Service Activities data was reported at 34.316 Hour in Mar 2018. This records an increase from the previous number of 32.652 Hour for Dec 2017. Israel Weekly Working Hours: Avg: 2008 Census: PE: Female: Administrative and Support Service Activities data is updated quarterly, averaging 31.540 Hour from Mar 2012 (Median) to Mar 2018, with 25 observations. The data reached an all-time high of 34.316 Hour in Mar 2018 and a record low of 28.538 Hour in Sep 2013. Israel Weekly Working Hours: Avg: 2008 Census: PE: Female: Administrative and Support Service Activities data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Israel – Table IL.G042: Weekly Working Hours: 2008 Census: 2011 Classification: by Industry.

Israel Weekly Working Hours: Avg: 2008 Census: PE: Wholesale & Retail Trade and Repair data was reported at 36.650 Hour in Sep 2018. This records a decrease from the previous number of 37.183 Hour for Jun 2018. Israel Weekly Working Hours: Avg: 2008 Census: PE: Wholesale & Retail Trade and Repair data is updated quarterly, averaging 37.467 Hour from Mar 2012 (Median) to Sep 2018, with 27 observations. The data reached an all-time high of 40.120 Hour in Mar 2018 and a record low of 35.327 Hour in Jun 2014. Israel Weekly Working Hours: Avg: 2008 Census: PE: Wholesale & Retail Trade and Repair data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Israel – Table IL.G042: Weekly Working Hours: 2008 Census: 2011 Classification: by Industry.

Israel Weekly Working Hours: Avg: 2008 Census: PP: Water Supply, Sewerage & Waste Management data was reported at 38.699 Hour in Sep 2018. This records an increase from the previous number of 38.538 Hour for Jun 2018. Israel Weekly Working Hours: Avg: 2008 Census: PP: Water Supply, Sewerage & Waste Management data is updated quarterly, averaging 39.477 Hour from Mar 2012 (Median) to Sep 2018, with 27 observations. The data reached an all-time high of 42.618 Hour in Mar 2018 and a record low of 35.074 Hour in Sep 2013. Israel Weekly Working Hours: Avg: 2008 Census: PP: Water Supply, Sewerage & Waste Management data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Israel – Table IL.G042: Weekly Working Hours: 2008 Census: 2011 Classification: by Industry.

Israel Weekly Working Hours: Avg: 2008 Census: PE: Male: Managers data was reported at 43.300 Hour in Sep 2018. This records a decrease from the previous number of 45.164 Hour for Jun 2018. Israel Weekly Working Hours: Avg: 2008 Census: PE: Male: Managers data is updated quarterly, averaging 45.100 Hour from Mar 2012 (Median) to Sep 2018, with 27 observations. The data reached an all-time high of 48.400 Hour in Mar 2012 and a record low of 42.383 Hour in Sep 2013. Israel Weekly Working Hours: Avg: 2008 Census: PE: Male: Managers data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Israel – Table IL.G043: Weekly Working Hours: 2008 Census: 2011 Classification: by Occupation.

Israel Weekly Working Hours: Avg: 2008 Census: PE: Female: Manufacturing, Construction and Other Skilled Workers data was reported at 32.475 Hour in Sep 2018. This records a decrease from the previous number of 34.948 Hour for Jun 2018. Israel Weekly Working Hours: Avg: 2008 Census: PE: Female: Manufacturing, Construction and Other Skilled Workers data is updated quarterly, averaging 35.018 Hour from Mar 2012 (Median) to Sep 2018, with 27 observations. The data reached an all-time high of 38.116 Hour in Dec 2013 and a record low of 32.475 Hour in Sep 2018. Israel Weekly Working Hours: Avg: 2008 Census: PE: Female: Manufacturing, Construction and Other Skilled Workers data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Israel – Table IL.G043: Weekly Working Hours: 2008 Census: 2011 Classification: by Occupation.

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 Lostine. 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 Lostine, the median income for all workers aged 15 years and older, regardless of work hours, was $57,500 for males and $30,956 for females.

These income figures highlight a substantial gender-based income gap in Lostine. Women, regardless of work hours, earn 54 cents for each dollar earned by men. This significant gender pay gap, approximately 46%, underscores concerning gender-based income inequality in the city of Lostine.

- Full-time workers, aged 15 years and older: In Lostine, among full-time, year-round workers aged 15 years and older, males earned a median income of $57,222, while females earned $45,000, leading to a 21% gender pay gap among full-time workers. This illustrates that women earn 79 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 Lostine.

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