Graph and download economic data for Consumer Unit Characteristics: Income After Taxes by Generation: Birth Year from 1946 to 1964 (CXUINCAFTAXLB1604M) from 2016 to 2023 about consumer unit, birth, tax, income, and USA.

Graph and download economic data for Income Before Taxes: Unemployment and Workers' Compensation, Veterans' Benefits, and Regular Contributions by Generation: Birth Year from 1946 to 1964 (CXUOTHREGINLB1604M) from 2016 to 2023 about veterans, birth, contributions, compensation, benefits, workers, tax, income, unemployment, and USA.

Income quintiles are assigned based on equivalized household disposable income, which takes into account differences in household size and composition using a method proposed by the Organization for Economic Co-operation and Development (OECD). The OECD-modified" equivalence scale assigns a value of 1 to the first adult Age groups refer to the age group of the major income earner. This refers to the main source of income for the household, that is, wages and salaries, self-employment income, net property income, current transfers received related to pension benefits, or other current transfers received from non-pension related sources.
Self-employment income refers to mixed income related to non-farm and farm businesses. Household rental income is not included. Revenues from Current transfers received - pension benefits relate to current transfers received from corporations for employer's pension plans and current transfers received from government for the Canada and Québec pension plans (CPP/QPP) and the Old Age Security program including the Guaranteed Income Supplement (OAS/GIS). Revenues from Current transfers received - others, relate to all other current transfers received not included in Current transfers received - pensions benefits, that is, it includes current transfers from the government sector except for the Canada and Québec pension plans (CPP/QPP) and from the Old Age Security Program (OAS) and the Guaranteed Income Supplement (GIS). It also includes current transfers from Non-profit institutions serving households (NPISH) and from the non-residents sector. Owner/Renter refers to the housing tenure of a household. Households that have subsidized rents (partially or fully) are included under Renter. Distributions by generation are defined as follows and are based on the birth year of the major income earner : pre-1946 for those born before 1946, baby boom for those born between 1946 and 1964, generation X for those born between 1965 and 1980 and millennials for those born after 1980. Note that generation Z has been combined with the millennial generation as their sample size is relatively small. Distribution of value" is the share of a component of income Value per consumption unit reflects the Statistics value" divided by the number of consumption units

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 Income Before Taxes: Other Income by Generation: Birth Year from 1946 to 1964 (CXUOTHRINCLB1604M) from 2016 to 2023 about birth, tax, 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 Oxford town. The dataset can be utilized to gain insights into gender-based income distribution within the Oxford town population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Oxford town, among individuals aged 15 years and older with income, there were 1,946 men and 1,576 women in the workforce. Among them, 738 men were engaged in full-time, year-round employment, while 594 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 0.68% fell within the income range of under $24,999, while 7.41% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 14.50% of men in full-time roles earned incomes exceeding $100,000, while 8.08% 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 Oxford town median household income by race. You can refer the same here

Graph and download economic data for Income Before Taxes: Wages and Salaries by Generation: Birth Year from 1946 to 1964 (CXU900000LB1604M) from 2016 to 2023 about birth, salaries, tax, wages, income, and USA.

Since 1946, the Central Bureau of Statistics has held regularly research on regional income distribution. These studies are mainly based on registers from the Ministry of Finance (the tax registers) and the Dutch municipalities (de population registers = GBA). The final results from the Regional Income research (RIO) is based on a sample of more than 1.9 million households.

Income distributions of persons or households, by country, province, COROP area, metropolitan agglomeration, urban region and municipality.

Data available from: 2005 These renewed figures from the 2005 RIO relate to 'provisional figures. For RIO 2005, a new production run of the income production system took place with improved input data from the tax registers of 2005. With this improved input data, the number of data to be imputed on micro level from previous research years (2004 and 2003) substantially less this improves the quality of output. It is now apparent from the plausibility contoles that in the numbers and amounts small differences are found in relation to the previous production run from the beginning of this year, we are forced to have the existing RIO 2005 output to be revised. The reference date is 1 January 2006; the data relate to the research year 2005.

Frequency: one-off Because the municipal division changes annually, the results are published from the RIO for each individual research year; merging or division of municipalities will result in all information related to income in a newly formed or split municipality can change so that comparability over time is not possible.

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

Key observations

• Employment patterns: Within Macon, among individuals aged 15 years and older with income, there were 1,946 men and 1,991 women in the workforce. Among them, 850 men were engaged in full-time, year-round employment, while 917 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 4.71% fell within the income range of under $24,999, while 20.83% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 4.47% of men in full-time roles earned incomes exceeding $100,000, while 5.34% 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 Macon median household income by race. You can refer the same here

Since 1946, the Central Bureau of Statistics has held regularly research on regional income distribution. These studies are mainly based on registers from the Ministry of Finance (the tax registers) and the Dutch municipalities (the population registers = GBA). The final RIO results are based on a sample of 1.9 million households.

Income distributions of persons and households, by country, province, COROP area, metropolitan agglomeration, city-west and municipality.

Data available from: 2003

Frequency: one-off Because the municipal division changes every year, results from the RIO for each individual research year published; aggregation or division of municipalities as a result, all information related to income in a newly formed or split municipality can significantly change this means that comparability in time is not possible.

Since 1946, the Central Bureau of Statistics has held regularly research on regional income distribution.These studies are mainly based on registers from the Ministry of Finance (the tax registers) and the Dutch municipalities (de population registers = GBA).The final results from the Regional Income research (RIO) is based on a sample of more than 1.9 million households. Income distributions of persons or households, by country, province, COROP area, metropolitan agglomeration, urban region and municipality. Data available from:2005 These renewed figures from the 2005 RIO relate to 'provisional figures.

For RIO 2005, a new production run of the

income production system took place with improved input data from the tax registers of 2005. With this improved input data, the number of data to be imputed on micro

level from previous research years (2004 and 2003) substantially less this improves the quality of output. It is now apparent from the plausibility contoles that in the numbers and amounts small differences are found in relation to the previous production run from the beginning of this year, we are forced to have the existing RIO 2005 output to be revised. The reference date is 1 January 2006; the data relate to the research year 2005. Frequency: one-off Because the municipal division changes annually, the results are published from the RIO for each individual research year; merging

or division of municipalities will result in all information related

to income in a newly formed or split municipality

can change so that comparability over time is not possible.

Graph and download economic data for Average of GDP and GDI, Transactions (BOGZ1FA086902203A) from 1946 to 2024 about GDI, transactions, average, income, GDP, 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 Alvarado. The dataset can be utilized to gain insights into gender-based income distribution within the Alvarado population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Alvarado, among individuals aged 15 years and older with income, there were 1,946 men and 1,558 women in the workforce. Among them, 1,197 men were engaged in full-time, year-round employment, while 711 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 5.60% fell within the income range of under $24,999, while 28.13% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 15.79% of men in full-time roles earned incomes exceeding $100,000, while 6.75% 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 Alvarado median household income by race. You can refer the same here

Graph and download economic data for Income Before Taxes: Self-Employment Income by Generation: Birth Year from 1946 to 1964 (CXUSFEMPINCLB1604M) from 2016 to 2023 about self-employed, birth, tax, 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 Mendham township. The dataset can be utilized to gain insights into gender-based income distribution within the Mendham township population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Mendham township, among individuals aged 15 years and older with income, there were 2,231 men and 1,946 women in the workforce. Among them, 1,585 men were engaged in full-time, year-round employment, while 752 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, none fell within the income range of under $24,999, while 4.26% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 75.14% of men in full-time roles earned incomes exceeding $100,000, while 49.20% 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 Mendham township 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 Nassau town. The dataset can be utilized to gain insights into gender-based income distribution within the Nassau town population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Nassau town, among individuals aged 15 years and older with income, there were 1,946 men and 1,607 women in the workforce. Among them, 986 men were engaged in full-time, year-round employment, while 662 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 3.35% fell within the income range of under $24,999, while 13.75% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 23.12% of men in full-time roles earned incomes exceeding $100,000, while 11.03% 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 Nassau town median household income by race. You can refer the same here

South Africa GDP: Gross National Disposable Income: Annual data was reported at 4,473,918.000 ZAR mn in 2017. This records an increase from the previous number of 4,202,386.000 ZAR mn for 2016. South Africa GDP: Gross National Disposable Income: Annual data is updated yearly, averaging 76,859.500 ZAR mn from Dec 1946 (Median) to 2017, with 72 observations. The data reached an all-time high of 4,473,918.000 ZAR mn in 2017 and a record low of 1,699.000 ZAR mn in 1946. South Africa GDP: Gross National Disposable Income: Annual data remains active status in CEIC and is reported by South African Reserve Bank. The data is categorized under Global Database’s South Africa – Table ZA.A036: SNA 2008: Gross National Income and Saving.

South Africa Gross National Income: Annual: 2005p data was reported at 2,050,039.000 ZAR mn in 2013. This records an increase from the previous number of 2,015,556.000 ZAR mn for 2012. South Africa Gross National Income: Annual: 2005p data is updated yearly, averaging 900,470.500 ZAR mn from Dec 1946 (Median) to 2013, with 68 observations. The data reached an all-time high of 2,050,039.000 ZAR mn in 2013 and a record low of 200,340.000 ZAR mn in 1946. South Africa Gross National Income: Annual: 2005p data remains active status in CEIC and is reported by South African Reserve Bank. The data is categorized under Global Database’s South Africa – Table ZA.A087: SNA 1993: Gross National Income and Saving.

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

Key observations

• Employment patterns: Within Union township, among individuals aged 15 years and older with income, there were 1,946 men and 1,822 women in the workforce. Among them, 919 men were engaged in full-time, year-round employment, while 767 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 4.13% fell within the income range of under $24,999, while 6.39% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 18.28% of men in full-time roles earned incomes exceeding $100,000, while none 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 Union township 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 Mosinee. The dataset can be utilized to gain insights into gender-based income distribution within the Mosinee population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Mosinee, among individuals aged 15 years and older with income, there were 1,715 men and 1,946 women in the workforce. Among them, 1,133 men were engaged in full-time, year-round employment, while 1,112 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 4.77% fell within the income range of under $24,999, while 11.15% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 12.36% of men in full-time roles earned incomes exceeding $100,000, while none 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 Mosinee median household income by race. You can refer the same here