The national gross income per capita in the Dominican Republic amounted to 9,710 U.S. dollars in 2023. Between 1962 and 2023, the national gross income rose by 9,490 U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend.

The national gross income per capita in Kenya stood at ***** U.S. dollars in 2023. Between 1962 and 2023, the national gross income rose by ***** U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend.

The national gross income per capita in Paraguay amounted to 6,220 U.S. dollars in 2023. Between 1962 and 2023, the national gross income rose by 6,050 U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend.

The national gross income per capita in Colombia stood at 6,810 U.S. dollars in 2023. Between 1962 and 2023, the national gross income rose by 6,520 U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend.

Dominican Republic DO: GDP: USD: Gross National Income per Capita: Atlas Method data was reported at 6,630.000 USD in 2017. This records an increase from the previous number of 6,390.000 USD for 2016. Dominican Republic DO: GDP: USD: Gross National Income per Capita: Atlas Method data is updated yearly, averaging 1,250.000 USD from Dec 1962 (Median) to 2017, with 56 observations. The data reached an all-time high of 6,630.000 USD in 2017 and a record low of 220.000 USD in 1962. Dominican Republic DO: GDP: USD: Gross National Income per Capita: Atlas Method data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Dominican Republic – Table DO.World Bank: Gross Domestic Product: Nominal. GNI per capita (formerly GNP per capita) is the gross national income, converted to U.S. dollars using the World Bank Atlas method, divided by the midyear population. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average;

The Data-compilation is a selection of time-series on wage- and salary development as well as on the development of the national income in Germany from 1850 to 1985. The following studies has been included: - Walther G. Hoffmann (1965): Das Wachstum der deutschen Wirtschaft seit der Mitte des 19. Jahrhunderts.- Rüdiger Hohls (1991): Arbeit und Verdienst. Entwicklung und Struktur der Arbeitseinkommen im Deutschen Reich und in der Bundesrepublik.- Pierenkemper, Toni (1987): Arbeitsmarkt und Angestellte im deutschen Kaiserreich 1880-1913. Interessen und Strategien als Elemente der Integration eines segmentierten Arbeitsmarktes.- Wiegand, Erich/Zapf, Wolfgang (1982): Wandel der Lebensbedingungen in Deutschland. Wohlfahrtsentwicklung seit der Industrialisierung. Tables in ZA-Online-Database HISTAT: A. Hoffmann, Walther G.: The Growth of the German Economy since the mid of the 19th centuryA.1 The average earned income per annum by industrial sector (1850-1959)A.2 The average earned income per annum in mining and saline (1850-1959)A.3 The average earned income per annum in industry and craft (1850-1959)A.4 The average earned income per annum in transport (1850-1959)A.5 The average earned income per annum in other services (1850-1959)A.6 Net national product (NNP) in factor costs in current prices and national income per capita according to Hoffmann (1850-1959)A.7 Gross value added and real national income per capita in prices of 1913 according to Hoffmann (1850-1959)A.8 The development of average earned income of employees in industry and craft, Index 1913 = 100 (1850-1959) B. Hohls, Rüdiger: The Sectoral Structure of Earnings in GermanyB.1 Nominal annual earnings of employees by industrial sector in Germany in Mark, 1885-1985B.2 Nominal earnings of white collar workers and blue collar workers in Germany, 1890-1940 C. Living costs, prices and earnings, consumer price indexC.1 Development of living costs (index) of medium employees’ households (1924-1978)C.2 Preices and earnings, index 1962 = 100 (1820-2001)C.3 Living costs, consumer price index (1820-2001) D. Pierenkemper, Toni: Employment market and employees in the German ‘Reich’ 1880-1913.D.1 Income of selected white collar categories in Mark (1880-1913)D.2 Real income of selected white collar categories (1880-1913) E. Wiegand, E.: Historical Development of Wages and Living Costs in Germany.E.1 Development of real gross income of blue collar workers in industry, index 1970 = 100 (1925-1978)E.2 Development of real gross income of blue collar workers in industry (1925-1978)E.3 Development of nominal and real national income per capita (1950-1978) E.4 Development of nominal and real national income per capita (1925-1939)E.5 National income: monthly income from dependent personal services per employee (1925-1971)E.6 Overlook: Development of wages, employed workers and gross income from dependent personal services in Germany (1810-1989)

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

Key observations

• Employment patterns: Within Monticello, among individuals aged 15 years and older with income, there were 1,962 men and 2,299 women in the workforce. Among them, 902 men were engaged in full-time, year-round employment, while 728 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 3.55% fell within the income range of under $24,999, while 7.01% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 10.53% of men in full-time roles earned incomes exceeding $100,000, while 4.12% 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 Monticello median household income by race. You can refer the same here

The national gross income per capita in Uruguay stood at 19,700 U.S. dollars in 2023. Between 1962 and 2023, the national gross income rose by 19,120 U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend.

The national gross income per capita in Trinidad and Tobago amounted to 21,000 U.S. dollars in 2023. Between 1962 and 2023, the national gross income rose by 20,360 U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend.

Venezuela VE: GDP: USD: Gross National Income per Capita: Atlas Method data was reported at 12,780.000 USD in 2014. This records an increase from the previous number of 11,760.000 USD for 2013. Venezuela VE: GDP: USD: Gross National Income per Capita: Atlas Method data is updated yearly, averaging 3,230.000 USD from Dec 1962 (Median) to 2014, with 53 observations. The data reached an all-time high of 12,780.000 USD in 2014 and a record low of 920.000 USD in 1966. Venezuela VE: GDP: USD: Gross National Income per Capita: Atlas Method data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Venezuela – Table VE.World Bank: Gross Domestic Product: Nominal. GNI per capita (formerly GNP per capita) is the gross national income, converted to U.S. dollars using the World Bank Atlas method, divided by the midyear population. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average;

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

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

Key observations

• Employment patterns: Within West Cocalico township, among individuals aged 15 years and older with income, there were 2,887 men and 1,962 women in the workforce. Among them, 1,986 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, 7.25% 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: 29.31% of men in full-time roles earned incomes exceeding $100,000, while 11.11% 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 West Cocalico 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 Doylestown township. The dataset can be utilized to gain insights into gender-based income distribution within the Doylestown township population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Doylestown township, among individuals aged 15 years and older with income, there were 6,807 men and 5,960 women in the workforce. Among them, 3,387 men were engaged in full-time, year-round employment, while 1,962 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 4.64% fell within the income range of under $24,999, while 6.78% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 59.94% of men in full-time roles earned incomes exceeding $100,000, while 35.12% 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/doylestown-township-pa-income-distribution-by-gender-and-employment-type.jpeg" alt="Doylestown Township, Pennsylvania 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 Doylestown township median household income by gender. You can refer the same here

The national gross income per capita in Guyana was 13,600 U.S. dollars in 2023. Between 1962 and 2023, the national gross income rose by 13,310 U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend.

The Data-compilation is a selection of time-series on wage- and salary development as well as on the development of the national income in Germany from 1850 to 1985. The following studies has been included:

• Walther G. Hoffmann (1965): Das Wachstum der deutschen Wirtschaft seit der Mitte des 19. Jahrhunderts.
• Rüdiger Hohls (1991): Arbeit und Verdienst. Entwicklung und Struktur der Arbeitseinkommen im Deutschen Reich und in der Bundesrepublik.
• Pierenkemper, Toni (1987): Arbeitsmarkt und Angestellte im deutschen Kaiserreich 1880-1913. Interessen und Strategien als Elemente der Integration eines segmentierten Arbeitsmarktes.
• Wiegand, Erich/Zapf, Wolfgang (1982): Wandel der Lebensbedingungen in Deutschland. Wohlfahrtsentwicklung seit der Industrialisierung.

Tables in ZA-Online-Database HISTAT:

A. Hoffmann, Walther G.: The Growth of the German Economy since the mid of the 19th century A.1 The average earned income per annum by industrial sector (1850-1959) A.2 The average earned income per annum in mining and saline (1850-1959) A.3 The average earned income per annum in industry and craft (1850-1959) A.4 The average earned income per annum in transport (1850-1959) A.5 The average earned income per annum in other services (1850-1959) A.6 Net national product (NNP) in factor costs in current prices and national income per capita according to Hoffmann (1850-1959) A.7 Gross value added and real national income per capita in prices of 1913 according to Hoffmann (1850-1959) A.8 The development of average earned income of employees in industry and craft, Index 1913 = 100 (1850-1959)

B. Hohls, Rüdiger: The Sectoral Structure of Earnings in Germany B.1 Nominal annual earnings of employees by industrial sector in Germany in Mark, 1885-1985 B.2 Nominal earnings of white collar workers and blue collar workers in Germany, 1890-1940

C. Living costs, prices and earnings, consumer price index C.1 Development of living costs (index) of medium employees’ households (1924-1978) C.2 Preices and earnings, index 1962 = 100 (1820-2001) C.3 Living costs, consumer price index (1820-2001)

D. Pierenkemper, Toni: Employment market and employees in the German ‘Reich’ 1880-1913. D.1 Income of selected white collar categories in Mark (1880-1913) D.2 Real income of selected white collar categories (1880-1913)

E. Wiegand, E.: Historical Development of Wages and Living Costs in Germany. E.1 Development of real gross income of blue collar workers in industry, index 1970 = 100 (1925-1978) E.2 Development of real gross income of blue collar workers in industry (1925-1978) E.3 Development of nominal and real national income per capita (1950-1978) E.4 Development of nominal and real national income per capita (1925-1939) E.5 National income: monthly income from dependent personal services per employee (1925-1971) E.6 Overlook: Development of wages, employed workers and gross income from dependent personal services in Germany (1810-1989)

The national gross income per capita in Tanzania amounted to ***** U.S. dollars in 2023. Between 1962 and 2023, the national gross income rose by *** U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend.

The national gross income per capita in Ecuador stood at 6,590 U.S. dollars in 2023. Between 1962 and 2023, the national gross income rose by 6,210 U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend.

The national gross income per capita in Nicaragua amounted to 2,350 U.S. dollars in 2023. Between 1962 and 2023, the national gross income rose by 2,210 U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend.

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

Key observations

• Employment patterns: Within Economy, among individuals aged 15 years and older with income, there were 3,673 men and 3,845 women in the workforce. Among them, 1,962 men were engaged in full-time, year-round employment, while 1,433 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 6.78% fell within the income range of under $24,999, while 10.96% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 25.38% of men in full-time roles earned incomes exceeding $100,000, while 10.05% 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/economy-pa-income-distribution-by-gender-and-employment-type.jpeg" alt="Economy, 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 Economy median household income by gender. You can refer the same here

The national gross income per capita in Costa Rica was 14,260 U.S. dollars in 2023. Between 1962 and 2023, the national gross income rose by 13,900 U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend.