This statistic shows the ratio of house prices to household income in the United Kingdom from 1976 to 2016. In 1976 the ratio of house prices to household income was 2.64. This has risen to 4.54 in 2016. The lowest ratio at any point in this statistic was 2.23 in 1996.

In 2023, the median hourly earnings of wage and salary workers in the United States was 19.24 U.S. dollars. This is an increase from 1979, when median hourly earnings were at 4.44 U.S. dollars. Hourly Workers The United States national minimum wage is 7.25 U.S. dollars per hour, which has been the minimum wage since 2009. However, each state has the agency to set their state minimum wage. Furthermore, some cities are able to create their minimum wage. Many argue that the minimum wage is too low and should be raised, because it is not considered a living wage. There has been a movement to raise the minimum wage to 15 U.S. dollars per hour, called “Fight for 15” which began in the early 2010s. While there has been no movement at the federal level, some states have moved to increase their minimum wages, with at least three states and the District of Columbia setting minimum wage rates at or above 15 dollars per hour. More recently, some proponents of increasing the minimum wage say that 15 dollars is too low, and lawmakers should strive toward a higher goal, especially given that a 2021 analysis found that the minimum wage in the U.S. should be 22.88 U.S. dollars if it grew at the same rate as economic productivity. Salary Workers On the other hand, salary workers in the United States do not get paid on an hourly basis. The median weekly earnings of salary workers have significantly increased since 1979. Asian salary workers had the highest hourly earnings in the U.S. in 2021. Among female salary workers, those ages 45 to 54 years old had the highest median hourly earnings in 2021, likewise for male salary workers.

This data collection supplies standard monthly labor force 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. In 1976, household records were introduced for the first time into the Annual Demographic File, in addition to family and person records. Information on demographic characteristics, such as age, sex, race, marital status, veteran status, household relationship, educational attainment, and Hispanic origin, is available for each person in the household enumerated.

Graph and download economic data for Median Household Income in Oregon (MEHOINUSORA646N) from 1984 to 2023 about OR, households, median, income, and USA.

Graph and download economic data for Real Median Household Income in North Carolina (MEHOINUSNCA672N) from 1984 to 2023 about NC, households, median, income, real, and USA.

Graph and download economic data for State Minimum Wage Rate for Virginia (STTMINWGVA) from 1976 to 2025 about minimum wage, VA, wages, rate, and USA.

South Korea's Occupational Wage Survey (OWS) is an annual business establishment survey conducted since 1970 by South Korea's Ministry of Labor. The dataset contains detailed information on individual workers' earnings, hours worked, educational attainment, actual labor market experience, occupation, industry, and region. The surveyed establishments must employ at least ten workers and were selected by a stratified random sampling method. Because they exclude workers in small enterprises, the self-employed, family workers, temporary workers, and public sector workers, the surveys represent approximately one-half of South Korea's total nonagricultural labor force. The samples for each year are randomly drawn from the original surveys. The surveys cover all industries up through 1986. After 1986, agriculture, forestry, hunting, and fishing are excluded. This change in sampling procedure does not appear to cause a significant change in the types of nonfarm enterprises covered by the survey.

Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas, annual.

Malaysia HIBAS: Monthly Gross Income: Mean: Sarawak data was reported at 5,387.000 MYR in 2016. This records an increase from the previous number of 4,934.000 MYR for 2014. Malaysia HIBAS: Monthly Gross Income: Mean: Sarawak data is updated yearly, averaging 2,259.000 MYR from Dec 1976 (Median) to 2016, with 16 observations. The data reached an all-time high of 5,387.000 MYR in 2016 and a record low of 426.000 MYR in 1976. Malaysia HIBAS: Monthly Gross Income: Mean: Sarawak data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Malaysia – Table MY.H031: Household Income and Basic Amenities Survey: Monthly Gross Income: Median and Mean: by State.

This table contains 67200 series, with data for years 1976 - 2011 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (35 items: Canada; Atlantic provinces; Newfoundland and Labrador; Prince Edward Island; ...); Sex (3 items: Both sexes; Males; Females); Age group (8 items: All age groups; Under 20 years; 20 to 24 years; 25 to 34 years; ...); Income recipient (4 items: Number of recipients; Aggregate income of recipients; Average income of recipients; Median income of recipients); Income source (20 items: Total income; Market income; Earnings; Wages, salaries and commissions; ...).

Malaysia HIBAS: Monthly Gross Income: Mean: Sabah data was reported at 5,354.000 MYR in 2016. This records an increase from the previous number of 4,879.000 MYR for 2014. Malaysia HIBAS: Monthly Gross Income: Mean: Sabah data is updated yearly, averaging 1,981.000 MYR from Dec 1976 (Median) to 2016, with 16 observations. The data reached an all-time high of 5,354.000 MYR in 2016 and a record low of 513.000 MYR in 1976. Malaysia HIBAS: Monthly Gross Income: Mean: Sabah data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Malaysia – Table MY.H031: Household Income and Basic Amenities Survey: Monthly Gross Income: Median and Mean: by State.

Graph and download economic data for Median Household Income in New Hampshire (MEHOINUSNHA646N) from 1984 to 2023 about NH, households, median, income, and USA.

Canada Median Income: 2018p: Economic Families: Elderly data was reported at 81,600.000 CAD in 2022. This records a decrease from the previous number of 82,500.000 CAD for 2021. Canada Median Income: 2018p: Economic Families: Elderly data is updated yearly, averaging 57,100.000 CAD from Dec 1976 (Median) to 2022, with 47 observations. The data reached an all-time high of 82,800.000 CAD in 2020 and a record low of 39,900.000 CAD in 1976. Canada Median Income: 2018p: Economic Families: Elderly data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.H028: Average Family Income by Economic Family Type.

Abstract copyright UK Data Service and data collection copyright owner.

The purpose of this study was to collect data about perceptions of the income distribution and rate of occupational mobility; also to ascertain the respondent's satisfaction with his own social position and his attitude to equality of income, influence and esteem between managers and workers.

Main Topics:

Attitudinal/Behavioural Questions
Satisfaction with opportunities for occupational mobility, estimated number of manual workers in the workforce. Perceptions of class background of manual/white collar workers. Respondents were asked to agree/disagree with a number of statements about managers (status, political influence and income). Estimated weekly income of average family in UK, estimated weekly income of richest/poorest quarter. Satisfaction with own income and personal influence.
Background Variables
Region, sex, employment status, age, marital status, social grade, size of household, whether respondent is household head, education completion age, accommodation status. Television ownership and viewing pattern.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Clayton town. The dataset can be utilized to gain insights into gender-based income distribution within the Clayton town population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Clayton town, among individuals aged 15 years and older with income, there were 1,976 men and 1,507 women in the workforce. Among them, 1,174 men were engaged in full-time, year-round employment, while 802 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 1.79% fell within the income range of under $24,999, while 6.86% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 45.74% of men in full-time roles earned incomes exceeding $100,000, while 32.54% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

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.

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

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Dumfries. The dataset can be utilized to gain insights into gender-based income distribution within the Dumfries population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Dumfries, among individuals aged 15 years and older with income, there were 1,693 men and 1,976 women in the workforce. Among them, 1,013 men were engaged in full-time, year-round employment, while 924 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 17.08% fell within the income range of under $24,999, while 19.91% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 11.25% of men in full-time roles earned incomes exceeding $100,000, while 3.79% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

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.

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

Malaysia HIBAS: Monthly Gross Income: Mean: Kuala Lumpur data was reported at 11,692.000 MYR in 2016. This records an increase from the previous number of 10,629.000 MYR for 2014. Malaysia HIBAS: Monthly Gross Income: Mean: Kuala Lumpur data is updated yearly, averaging 4,768.000 MYR from Dec 1976 (Median) to 2016, with 15 observations. The data reached an all-time high of 11,692.000 MYR in 2016 and a record low of 1,058.000 MYR in 1976. Malaysia HIBAS: Monthly Gross Income: Mean: Kuala Lumpur data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Malaysia – Table MY.H031: Household Income and Basic Amenities Survey: Monthly Gross Income: Median and Mean: by State.

China Net Income per Capita: Rural Household: Overall data was reported at 10,772.000 RMB in 2015. This records an increase from the previous number of 9,892.000 RMB for 2014. China Net Income per Capita: Rural Household: Overall data is updated yearly, averaging 1,751.905 RMB from Dec 1976 (Median) to 2015, with 40 observations. The data reached an all-time high of 10,772.000 RMB in 2015 and a record low of 113.100 RMB in 1976. China Net Income per Capita: Rural Household: Overall data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Household Survey – Table CN.HD: Net Income per Capita: Rural.

Canada Median Income: 2018p: GT: Economic Families: Elderly data was reported at 34,300.000 CAD in 2022. This records a decrease from the previous number of 34,600.000 CAD for 2021. Canada Median Income: 2018p: GT: Economic Families: Elderly data is updated yearly, averaging 31,000.000 CAD from Dec 1976 (Median) to 2022, with 47 observations. The data reached an all-time high of 36,700.000 CAD in 2020 and a record low of 18,600.000 CAD in 1976. Canada Median Income: 2018p: GT: Economic Families: Elderly data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.H028: Average Family Income by Economic Family Type.

Graph and download economic data for Median Household Income in Washington (MEHOINUSWAA646N) from 1984 to 2023 about WA, households, median, income, and USA.