This statistic shows the percentage increase in median hourly wages that can be expected with each additional year spent in further education in the United States. Differences can be seen for 1973, 1989 and 2007. In 2007, those who had completed 15 years of education could expect a median increase in their hourly wage of 14 percent as compared to 14 years of education.

In 1979, the median usual weekly earnings of a full-time employee amounted to *** current U.S. dollars. In 2023, this number had risen to ***** current U.S. dollars. The term current U.S. dollars describes the value of the currency in that particular year. Wages adjusted for inflation can be found here.

Wages in Manufacturing in Taiwan increased to 67293 TWD/Month in May from 56581 TWD/Month in April of 2025. This dataset provides - Taiwan Average Monthly Wages in Manufacturing - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Wages in Manufacturing in Ireland increased to 1084.60 EUR/Week in the fourth quarter of 2024 from 1059.60 EUR/Week in the third quarter of 2024. This dataset provides - Ireland Average Weekly Wages in Manufacturing - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Median Family Income in the United States (MEFAINUSA646N) from 1953 to 2023 about family, median, income, and USA.

This dataset provides information on poverty-level wages in the United States from 1973 to 2022.

It includes data on both annual and hourly poverty-level wages, as well as wage shares for different income brackets.

The dataset is based on the Economic Policy Institute’s State of Working America Data Library, which offers comprehensive economic data for analyzing trends and patterns in the labor market.

Intresting Task Ideas:

1. Analyze the trend of annual poverty-level wages over the years.
2. Compare the hourly poverty-level wages between men and women.
3. Investigate the share of workers earning below poverty-level wages based on race.
4. Explore the distribution of wages across different poverty wage ranges.
5. Examine the income disparities across different income brackets (0-75%, 75-100%, etc.) for men and women.
6. Determine the proportion of workers earning above the poverty level (300%+) over time.
7. Calculate the percentage change in poverty-level wages from one year to another.

If you find this dataset valuable, don't forget to hit the upvote button! 😊💝

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Japan Number of Persons: Annual Salary: 3 to 4 Million data was reported at 8,666,213.000 Person in 2017. This records an increase from the previous number of 8,536,061.000 Person for 2016. Japan Number of Persons: Annual Salary: 3 to 4 Million data is updated yearly, averaging 7,593,185.000 Person from Dec 1973 (Median) to 2017, with 45 observations. The data reached an all-time high of 8,666,213.000 Person in 2017 and a record low of 928,390.000 Person in 1973. Japan Number of Persons: Annual Salary: 3 to 4 Million data remains active status in CEIC and is reported by National Tax Agency. The data is categorized under Global Database’s Japan – Table JP.G103: Number of Private Sector Employees: Annual Salary.

Japan Number of Persons: Annual Salary: 4 to 5 Million data was reported at 7,307,810.000 Person in 2017. This records an increase from the previous number of 6,950,893.000 Person for 2016. Japan Number of Persons: Annual Salary: 4 to 5 Million data is updated yearly, averaging 6,265,630.000 Person from Dec 1973 (Median) to 2017, with 45 observations. The data reached an all-time high of 7,307,810.000 Person in 2017 and a record low of 365,930.000 Person in 1973. Japan Number of Persons: Annual Salary: 4 to 5 Million data remains active status in CEIC and is reported by National Tax Agency. The data is categorized under Global Database’s Japan – Table JP.G103: Number of Private Sector Employees: Annual Salary.

Minimum Wages in Thailand increased to 374 THB/Day in 2025 from 363 THB/Day in 2024. This dataset provides - Thailand Minimum Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Taiwan Average Earnings Index: Construction data was reported at 162.270 2016=100 in Jan 2019. This records an increase from the previous number of 97.280 2016=100 for Dec 2018. Taiwan Average Earnings Index: Construction data is updated monthly, averaging 81.220 2016=100 from Jan 1973 (Median) to Jan 2019, with 553 observations. The data reached an all-time high of 162.270 2016=100 in Jan 2019 and a record low of 5.030 2016=100 in Feb 1973. Taiwan Average Earnings Index: Construction data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.G034: Average Earnings Index: 2016=100.

Taiwan Average Earnings Index: Manufacturing data was reported at 193.240 2016=100 in Jan 2019. This records an increase from the previous number of 102.040 2016=100 for Dec 2018. Taiwan Average Earnings Index: Manufacturing data is updated monthly, averaging 63.770 2016=100 from Jan 1973 (Median) to Jan 2019, with 553 observations. The data reached an all-time high of 193.570 2016=100 in Jan 2017 and a record low of 3.640 2016=100 in Feb 1973. Taiwan Average Earnings Index: Manufacturing data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.G034: Average Earnings Index: 2016=100.

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 Berkeley. The dataset can be utilized to gain insights into gender-based income distribution within the Berkeley population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Berkeley, among individuals aged 15 years and older with income, there were 1,973 men and 1,817 women in the workforce. Among them, 1,242 men were engaged in full-time, year-round employment, while 743 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 9.02% fell within the income range of under $24,999, while 7.27% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 21.01% of men in full-time roles earned incomes exceeding $100,000, while 16.15% 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 Berkeley median household income by race. You can refer the same here

When adjusted for inflation, the 2024 federal minimum wage in the United States is over 40 percent lower than the minimum wage in 1970. Although the real dollar minimum wage in 1970 was only 1.60 U.S. dollars, when expressed in nominal 2024 dollars this increases to 13.05 U.S. dollars. This is a significant difference from the federal minimum wage in 2024 of 7.25 U.S. dollars.

Taiwan Average Earnings Index: Industry data was reported at 188.860 2016=100 in Jan 2019. This records an increase from the previous number of 101.030 2016=100 for Dec 2018. Taiwan Average Earnings Index: Industry data is updated monthly, averaging 66.510 2016=100 from Jan 1973 (Median) to Jan 2019, with 553 observations. The data reached an all-time high of 188.860 2016=100 in Jan 2019 and a record low of 3.780 2016=100 in Feb 1973. Taiwan Average Earnings Index: Industry data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.G034: Average Earnings Index: 2016=100.

Abstract copyright UK Data Service and data collection copyright owner.

The aim of these studies is to examine the positions of the low paid, the subemployed (men and women unemployed for over 4 weeks in the last 12 months), the disabled and immigrants in two local labour markets. There were two main sources of data:
1) All members not in full-time education and under 71 of a simple random sample of households in 2 urban areas (230).
2) Follow-up survey of all individuals in 1, who fell into any one of four special categories (231).
i) low paid (less than 55p for males over 18, less than 35p for females over 18)
ii) subemployed (unemployed for more than 4 weeks in last 12 months)
iii) disabled
iv) immigrants (not born in UK or Eire)

Main Topics:

Attitudinal/Behavioural Questions
This dataset contains data from source 1.
a) Terms and Conditions of Employment
Holidays, sick pay, pension, notice, contract, journey to work (time, weekly cost), normal starting time, outdoors or indoors (shelter, tea/coffee, toilet, washing facilities, place to eat, place for storage, first aid, phone call, heating), place for coats etc., adjustable lighting, details of fringe benefits received.
Amount of heaving, lifting, sitting down, whether work dangerous, noisy or tiring. Security, promotion prospects, trade union (membership), reasons if no trade union, opinion on whether union would be advisable (reasons), reasons for non-membership. Number of employees, immediate work group, autonomy, number in same job (as a proportion of the labour force), origin of workmates, earnings relative to others, low paid men/women. Influence on pay (union/employer or other), assessment of employer (reasons). Net/gross wages last time paid, hours worked/overtime during last pay week, period of payment, number of weeks worked in past year, average hourly earnings, variations in pay during last month (specific details). Promotion/demotion (reasons and description of job change).
Labour force status, internal movement, number of employers/ occupations/industries/jobs/skill level changes in last 5 and last 10 years. Number of job changes, number of periods of unemployment, length of time unemployed, size of works closure, redundancy pay received, job offers, help finding a job (type). Average gross/net earnings, average hours worked/period of payment. Additions to pay, tax rebate, tax paid direct, work expenses, number of weeks paid holiday, income fluctuations (reasons), deductions, time off work (reasons), sick pay, number of weeks sickness, strike pay, number of weeks on strike, pay for other reasons, number of weeks absent for other reasons. Length of time out of work/on short time/part time (reasons).
b) Previous occupation
Reason for leaving; type; location; hours per week; gross/net earnings; payment period; date left work.
c) First job
Social class; source of information; starting date; method of application; reasons for acceptance.
d) Second job
Social class; gross/net income.
e) Housewives
Attitude to work; reasons for not working; whether job taken if help given with family; suitable conditions-hours, location, pay, type of job.
Method of job search, interviews, refusals, whether job held in last 5 years. Previous job; type, employment status, location, hours per week, gross/net earnings, payment period, reason for leaving, date of leaving.
f) Retired
As for housewives, plus reason for retirement; when started drawing pension.
Background Variables
Age, sex, marital status, place of birth, ethnic origin, educational status, school-leaving age, number of years of schooling, qualifications, further education, job-specific training. Driving licence, general health condition, specific troubles/illnesses, health effect on work, employment status. Number of households at address, number in household with: four or more weeks unemployed in last 12 months; low pay; disability; number of immigrants. Number in household, number aged 71 and over, number aged 15 and under, number aged 15 and over in education, number currently with paid job. Household type, number of rooms, amenities, structural defects, tenure, business purposes, net household income, rent rebate, number of weeks rent paid, rates, rate rebate (owner occupiers only), whether house paid for, presence of lodgers/boarders and sub-tenants, persons per room, cost of repairs over previous year, housing cost weekly. Family allowances received, retirement pension, widows pension.
Benefits received - sickness, unemployment, supplementary, industrial injury, industrial disability, war disability, maternity, death. Income received from property, assets and savings (value), number of weeks worked in past year, average hourly earnings, length of residence in study area/in North East/in GLC, local papers read.
Relatives in area (father, mother, siblings, children,...

Taiwan Average Regular Earnings Index: Manufacturing data was reported at 106.640 2016=100 in Jan 2019. This records an increase from the previous number of 105.630 2016=100 for Dec 2018. Taiwan Average Regular Earnings Index: Manufacturing data is updated monthly, averaging 72.970 2016=100 from Jan 1973 (Median) to Jan 2019, with 553 observations. The data reached an all-time high of 106.640 2016=100 in Jan 2019 and a record low of 4.320 2016=100 in Feb 1973. Taiwan Average Regular Earnings Index: Manufacturing data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.G038: Average Regular Earnings Index: 2016=100.

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 Fort Atkinson. The dataset can be utilized to gain insights into gender-based income distribution within the Fort Atkinson population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Fort Atkinson, among individuals aged 15 years and older with income, there were 4,926 men and 4,812 women in the workforce. Among them, 3,094 men were engaged in full-time, year-round employment, while 1,973 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 4.59% fell within the income range of under $24,999, while 13.33% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 10.08% of men in full-time roles earned incomes exceeding $100,000, while 3.19% 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)

https://i.neilsberg.com/ch/fort-atkinson-wi-income-distribution-by-gender-and-employment-type.jpeg" alt="Fort Atkinson, WI gender and employment-based income distribution analysis (Ages 15+)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Fort Atkinson median household income by gender. 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 Southfield township. The dataset can be utilized to gain insights into gender-based income distribution within the Southfield township population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Southfield township, among individuals aged 15 years and older with income, there were 5,328 men and 5,389 women in the workforce. Among them, 3,172 men were engaged in full-time, year-round employment, while 1,973 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 1.95% fell within the income range of under $24,999, while 1.32% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 74.24% of men in full-time roles earned incomes exceeding $100,000, while 58.29% 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 Southfield township median household income by race. You can refer the same here

Taiwan Average Earnings Index: Water Supply & Remediation Services data was reported at 184.980 2016=100 in Jan 2019. This records an increase from the previous number of 92.680 2016=100 for Dec 2018. Taiwan Average Earnings Index: Water Supply & Remediation Services data is updated monthly, averaging 85.630 2016=100 from Jan 1973 (Median) to Jan 2019, with 553 observations. The data reached an all-time high of 225.780 2016=100 in Jan 2006 and a record low of 5.220 2016=100 in Mar 1973. Taiwan Average Earnings Index: Water Supply & Remediation Services data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.G034: Average Earnings Index: 2016=100.

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.