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

Key observations

• Employment patterns: Within Willard, among individuals aged 15 years and older with income, there were 1,955 men and 1,921 women in the workforce. Among them, 1,371 men were engaged in full-time, year-round employment, while 1,023 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 14% fell within the income range of under $24,999, while 18.38% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 10.28% of men in full-time roles earned incomes exceeding $100,000, while 9.19% 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/willard-mo-income-distribution-by-gender-and-employment-type.jpeg" alt="Willard, MO 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 Willard median household income by gender. You can refer the same here

Compared to the mid-20th century, wage increases in the United States' industrial sector did not change as drastically over the preceding 150 years. Industrial wages in the 1800s peaked in the final year of the American Civil War in 1865, and they were double the value of wages in 1830; yet wages did not exceed this value until the following century. Throughout the 1900s, however, the increase was much more pronounced; between 1943 and 1955 alone, industrial wages doubled, and quadrupled by 1972. In fact, wages in 1985 were over five times higher than they were in 1955, and ten times higher than in 1943. The only times during the 20th century when industrial wages fell was during the post-WWI recession in 1921, and again during the Great Depression in the 1930s.

Romania RO: Wages Index data was reported at 169.459 2010=100 in 2017. This records an increase from the previous number of 148.427 2010=100 for 2016. Romania RO: Wages Index data is updated yearly, averaging 0.021 2010=100 from Dec 1955 (Median) to 2017, with 60 observations. The data reached an all-time high of 169.459 2010=100 in 2017 and a record low of 0.004 2010=100 in 1955. Romania RO: Wages Index data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Romania – Table RO.IMF.IFS: Wages, Labour Cost and Employment Index: Annual.

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.

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

Key observations

• Employment patterns: Within Blackwell, among individuals aged 15 years and older with income, there were 2,193 men and 1,955 women in the workforce. Among them, 1,140 men were engaged in full-time, year-round employment, while 797 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 7.54% fell within the income range of under $24,999, while 18.57% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 11.32% of men in full-time roles earned incomes exceeding $100,000, while 2.63% 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 Blackwell median household income by race. You can refer the same here

Between 1948 and 1981, average wages in the U.S. agricultural sector grew by a factor of five. Agricultural wages doubled between 1955 and 1970, and doubled again by 1980. These rates were slightly higher, but similar to, wage growth in the industrial sector during these years.

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

Key observations

• Employment patterns: Within Carpinteria, among individuals aged 15 years and older with income, there were 5,046 men and 4,654 women in the workforce. Among them, 2,572 men were engaged in full-time, year-round employment, while 1,955 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 12.33% fell within the income range of under $24,999, while 10.69% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 35.19% of men in full-time roles earned incomes exceeding $100,000, while 29.26% 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 Carpinteria median household income by race. You can refer the same here

Japan Number of Persons: Annual Salary: >5 Million data was reported at 13,920,018.000 Person in 2016. This records an increase from the previous number of 13,673,908.000 Person for 2015. Japan Number of Persons: Annual Salary: >5 Million data is updated yearly, averaging 5,800,878.000 Person from Dec 1952 (Median) to 2016, with 65 observations. The data reached an all-time high of 16,313,809.000 Person in 1997 and a record low of 0.000 Person in 1955. Japan Number of Persons: Annual Salary: >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.G104: Number of Private Sector Employees: Annual Salary.

Graph and download economic data for Hourly Earnings: Earnings: Economic Activity: Manufacturing: Total Economy for United States (USAHOUREAAISMEI) from 1955 to 2024 about earnings, hours, manufacturing, and USA.

Graph and download economic data for Per Capita Personal Income in Alaska (AKPCPI) from 1950 to 2024 about AK, personal income, per capita, personal, income, and USA.

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

Key observations

• Employment patterns: Within Coopertown, among individuals aged 15 years and older with income, there were 1,955 men and 1,283 women in the workforce. Among them, 1,123 men were engaged in full-time, year-round employment, while 624 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 13.89% fell within the income range of under $24,999, while 2.88% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 18.17% of men in full-time roles earned incomes exceeding $100,000, while 5.93% 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/coopertown-tn-income-distribution-by-gender-and-employment-type.jpeg" alt="Coopertown, TN 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 Coopertown 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 Southern Pines. The dataset can be utilized to gain insights into gender-based income distribution within the Southern Pines population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Southern Pines, among individuals aged 15 years and older with income, there were 5,707 men and 6,323 women in the workforce. Among them, 2,659 men were engaged in full-time, year-round employment, while 1,955 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 3.42% fell within the income range of under $24,999, while 10.69% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 35.50% of men in full-time roles earned incomes exceeding $100,000, while 33.55% 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 Southern Pines median household income by race. You can refer the same here

Timeseries of the Period 1945 – 2001 about the topics - economic structure, economic cycles, business developmet, - production, - services, - labour market, - prices, consumption and income of Vienna.

The aim was to cover the entire period under report with timeseries-data. Because of the absence of data or serious fractions of some timeseries this goal could not always be attained.

Topics:

Data-Tables in HISTAT:

A Economic structure, economic cycles, business development

A.1.01.a Development of nominal gross-urban-product by industrial sector at market prices 1961-1992 A.1.01.b Development of nominal gross-urban-product by ÖNACE-sections (= austrian nomenclature of economic activities) at market prices 1988-1997 A.1.01.c Development of nominal gruss-urban-product by ÖNACE-sections at cost prices 1995-1998 A.1.02 Workplaces (business companies) by economic classes 1954-1991 A.1.03 Workplaces and employees by industrial sector and urban district 1959-1991 A.1.04 Enterprises in the commercial economy of Vienna 1963-2000 A.1.05 Members of Vienna’s chamber of commerce 1955-2000 A.1.06 Stock corporations based in Vienna 1967-1995 A.1.07 Settlement of companies in Vienna aided by the businessdevelopment-fond 1982-2000 A.1.08.a Insolvencies 1966-1994 A.1.08.b Insolvencies 1995-2000

B Production

B.2.01.a Gross-production-values of industry by industrial sectors 1955-1994 B.2.01.b Production-values of industry by sort of production 1995-2000 B.2.02 Index of Vienna’s industrial production 1969-2000 B.2.03 Electricity production and distribution 1946-2000 B.2.04.a Gas distribution system 1946-2000 B.2.04.b Gas consumption 1946-2000

C Services

C.3.01 Salesindices of wholsale 1973-1998 C.3.02 Salesindices of retailing 1973-1998 C.3.03 Turnover potential of Vienna’s main shopping streets 1970-1998 C.3.04 Market supply at Viktualien 1945-2000 C.3.05 Tabacco sales 1946-2000 C.3.06 Credit institutions 1967-2000 C.3.07 Visitors’ overnight stays 1948-2000 C.3.08 Arrival of visitors 1948-2000

D Labour market

D.4.01 Working population by urban districts and industrial sectors 1954-1991 D.4.02 Commuter-Matrix 1955-1991 D.4.03 Commuter, driving into the city to their workplace (assured at Vienna’s Area Health Insurance Company (“Wiener Gebietskrankenkasse”)) 1986-2000 D.4.04 Changes of the labour supply (Components and their constituent parts) 1971-1991 D.4.05.a1 Employment market, employee 1946-1986 D.4.05.a2 Employment market, registered unemployed 1946-1986 D.4.05.a3 Employment market, Indizes 1946-1986
D.4.05.b1 Employment market, employee and registered unemployed 1987-2000 D.4.05.b2 Employment market, Indizes 1987-2000 D.4.06 Employees by industrial sectors 1955-2000 D.4.07 Employees by nationality 1972-2000 D.4.08.a Mobility: jearly average of standard employment by economic sectors 1972-2000 D.4.08.b Mobility: Leavings from standard emploument by economic sectors 1972-2000 D.4.08.c Mobility-index of standard employment by economic sectors 1972-2000 D.4.09.a Registered unemployed ba age-groups 1960-1986 D.4.09.b Registered unemployed by age-groups 1987-2000 D.4.10 Registered unemployed by duration of registration 1969-1986 D.4.11 Registered unemployed by age-group and duration of registration 1969-1982 D.4.12.a Registered unemployed, male, by age-group and duration of registration, 1987-2000 D.4.12.b Registered unemployed, female, by age-group and duration of registration, 1987-2000 D.4.12.c Total registered unemployed, by age-group and duration of registration, 1987-2000 D.4.13 Registered unemployed by highest education 1987-2000 D.4.14 Unemployment rate by sex and nationality 1991-2000 D.4.15 Unionists 1946-2000

E Preice, consumption and income

E.5.01 Consumer-price-index (linked Indices) 1945-2000 E.5.02 Consumer-price-index by consume groups 1948-2000 E.5.03 Wholesale price indices 1947-2000 E.5.04 Building costs indices of domestic buildings 1946-2000 E.5.05 Average prices of selected goods and services 1948-2000

E.5.07.a Gross median income of employee 1962-2000 E.5.07.b Gross median income of employee (relations) 1962-2000 E.5.8.a Quartiles of income, totally 1962-2000 E.5.8.b Quartiles of income, male 1962-2000 E.5.8.c Quartiles of income, female 1962-2000 E.5.9 Earnings and income in industry, business and trade 1962-1999

Graph and download economic data for Hourly Earnings: Earnings: Economic Activity: Manufacturing: Total Economy for Japan (LCEAMN01JPM661S) from Jan 1955 to Mar 2025 about compensation, Japan, earnings, hours, and manufacturing.

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

Key observations

• Employment patterns: Within Bridgeville, among individuals aged 15 years and older with income, there were 1,955 men and 1,847 women in the workforce. Among them, 1,069 men were engaged in full-time, year-round employment, while 748 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 3.09% fell within the income range of under $24,999, while 8.29% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 12.25% of men in full-time roles earned incomes exceeding $100,000, while 11.90% 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/bridgeville-pa-income-distribution-by-gender-and-employment-type.jpeg" alt="Bridgeville, PA 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 Bridgeville median household income by gender. You can refer the same here

Corporate Profits in the United Kingdom increased to 152043 GBP Million in the first quarter of 2025 from 148024 GBP Million in the fourth quarter of 2024. This dataset provides the latest reported value for - United Kingdom Corporate Profits - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

In 2024, gross domestic product per capita in the United Kingdom was 37,044 British pounds, compared with 37,033 pounds in the previous year. In general, while GDP per capita has grown quite consistently throughout this period, there are noticeable declines, especially between 2007 and 2009, and between 2019 and 2020, due to the Global Financial Crisis, and COVID-19 pandemic, respectively. Why is GDP per capita stagnating when the economy is growing? During the last two years that GDP per capita fell and then stagnated in the UK, the overall economy grew by 0.4 percent in 2023 and 1.1 percent in 2024. While the overall UK economy is therefore larger than it was in 2022, the UK's population has grown at a faster rate, resulting in the lower GDP per capita figure. The long-term slump in the UK's productivity, as measured by output per hour worked, has meant that the gap between GDP growth and GDP per capita growth has been widening for some time. Economy remains the main concern of UK voters As of February 2025, the economy was seen as the main issue facing the UK, just ahead of immigration, health, and several other problems in the country. While Brexit was seen as the most important issue before COVID-19, and concerns about health were dominant throughout 2020 and 2021, the economy has generally been the primary facing voters issue since 2022. The surge in inflation throughout 2022 and 2023, and the impact this had on wages and living standards, resulted in a very tough period for UK households. As of January 2025, 57 percent of households were still noticing rising living costs, although this is down from a peak of 91 percent in August 2022.

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

Key observations

• Employment patterns: Within Dickenson County, among individuals aged 15 years and older with income, there were 5,042 men and 4,902 women in the workforce. Among them, 1,955 men were engaged in full-time, year-round employment, while 1,765 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 9.97% fell within the income range of under $24,999, while 15.98% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 18.77% of men in full-time roles earned incomes exceeding $100,000, while 5.95% 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 Dickenson County 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 Jericho town. The dataset can be utilized to gain insights into gender-based income distribution within the Jericho town population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Jericho town, among individuals aged 15 years and older with income, there were 1,955 men and 2,090 women in the workforce. Among them, 1,011 men were engaged in full-time, year-round employment, while 786 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 5.34% fell within the income range of under $24,999, while 8.27% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 31.55% of men in full-time roles earned incomes exceeding $100,000, while 16.16% 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/jericho-town-vt-income-distribution-by-gender-and-employment-type.jpeg" alt="Jericho Town, Vermont 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 Jericho town median household income by gender. You can refer the same here

Graph and download economic data for Hourly Earnings: Earnings: Economic Activity: Manufacturing: Total Economy for Finland (LCEAMN01FIA661N) from 1955 to 2024 about Finland, compensation, earnings, hours, and manufacturing.