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Graph and download economic data for Median Personal Income in the United States from 1974 to 2023 about personal income, personal, median, income, and USA.
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People 15 years old and over beginning with March 1980, and people 14 years old and over as of March of the following year for previous years.
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People 15 years old and over beginning with March 1980, and people 14 years old and over as of March of the following year for previous years.
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The Recent College Graduates (RCG) survey estimates the potential supply of newly qualified teachers in the United States and explores the immediate post-degree employment and education experiences of individuals obtaining bachelor's or master's degrees from American colleges and universities. The RCG survey, which focuses heavily, but not exclusively, on those graduates qualified to teach at the elementary and secondary levels, is designed to meet the following objectives: (1) to determine how many graduates become eligible or qualified to teach for the first time and how many are employed as teachers in the year following graduation, by teaching field, (2) to examine the relationships among courses taken, student achievement, and occupational outcomes, and (3) to monitor unemployment rates and average salaries of graduates by field of study. The RCG survey collects information on education and employment of all graduates (date of graduation, field of study, whether newly qualified to teach, further enrollment, financial aid, employment status, and teacher employment characteristics) as well as standard demographic characteristics such as earnings, age, marital status, sex, and race/ethnicity.
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Graph and download economic data for Mean Personal Income in the United States (MAPAINUSA646N) from 1974 to 2023 about average, personal income, personal, income, and USA.
As of August 2023, the median weekly earnings of employees in Australia were 1,300 Australian dollars. Since August 1975, the median weekly earnings of employees in Australia have increased more than ten-fold.
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Median Personal Income in the United States was 42220.00000 Current $ in January of 2023, according to the United States Federal Reserve. Historically, Median Personal Income in the United States reached a record high of 42220.00000 in January of 2023 and a record low of 5335.00000 in January of 1974. Trading Economics provides the current actual value, an historical data chart and related indicators for Median Personal Income in the United States - last updated from the United States Federal Reserve on July of 2025.
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People 15 years old and over beginning with March 1980, and people 14 years old and over as of March of the following year for previous years.
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Graph and download economic data for Real Mean Personal Income in Northeast Census Region (MAPAINUSNEA672N) from 1974 to 2023 about Northeast Census Region, average, personal income, personal, income, real, and USA.
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Thailand Daily Minimum Wage: Northern: Mae Hong Son data was reported at 310.000 THB in Oct 2018. This stayed constant from the previous number of 310.000 THB for Sep 2018. Thailand Daily Minimum Wage: Northern: Mae Hong Son data is updated monthly, averaging 128.000 THB from Oct 1974 (Median) to Oct 2018, with 529 observations. The data reached an all-time high of 310.000 THB in Oct 2018 and a record low of 16.000 THB in Sep 1977. Thailand Daily Minimum Wage: Northern: Mae Hong Son data remains active status in CEIC and is reported by Ministry of Labour. The data is categorized under Global Database’s Thailand – Table TH.G008: Daily Minimum Wage.
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Taiwan FIES: Avg Personal Income data was reported at 1,253,389.053 NTD in 2016. This records an increase from the previous number of 1,224,599.695 NTD for 2015. Taiwan FIES: Avg Personal Income data is updated yearly, averaging 1,029,053.383 NTD from Dec 1974 (Median) to 2016, with 43 observations. The data reached an all-time high of 1,253,389.053 NTD in 2016 and a record low of 101,110.000 NTD in 1974. Taiwan FIES: Avg Personal Income data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.H019: Family Income and Expenditure Survey: Directorate General of Budget, Accounting and Statistics.
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Aim of the study is to render the income distribution and income stratification in the Federal Republic of Germany (FRG) form 1950 to 1970.
Topics: Tabulations in Online-Database HISTAT (Historical Statistics):
A. Synopses A.01 Sources of liquid income in percent (1950-1970) A.02 Personal income distribution in percent (1950-1970) A.03 Distribution of household-income in percent (1950-1970) A.04 Average income per household on social position of head of the household, Index (1950-1970) A.05 Distribution of private households on incomg-groups (1950-1970) A.06 Distribution of private households on size of household and incomg-group (1950-1970) A.07 Average yearly income per household in DM (1950-1970) A.08 Distribution of private households on number of persons receiving income and on income groups (1950-1970)
B. Development of functional and personal income B.01a Private households on household size and social position of head of the household in FRG in thousand (1950-1970) B.01b Private households on social position of head of the household and on income-receive in FRG in thousand (1950-1970) B.02 Development of household income in FRG in billions DM (1950-1970) B.03a Net-total income of the entire private households in the FRG im billions DM (1950-1970) B.03b Net-average income of the entire privat households in the FRG in DM (1950-1970)
C. Number of Net-income of private households C.01a Number of net-income of the entire private households in the FRG on income groups (1950-1970) C.01b Number of net-income of Self-Employed households in the FRG on income groups (1950-1970) C.01c Number of net-income of white-collar worker households in the FRG on income groups (1950-1970) C.01d Number of net-income of blue-collar worker households in the FRG on income groups (1950-1970) C.01e Number of net-income of retiree households in the FRG on income groups (1950-1970) C.02 Number of Households in the FRG on constant income groups in thousand (1950-1970) C.03 Net-annuity of housholds in the FRG on constant income groups in billions DM (1950-1970)
Z. Compendious statistical value schedules (1950-1985) Z.01 Statistical values of stratification of private household´s net-annuity and of families´ net-annuity on social groups (1950-1985) Z.02 Average monthly household income on social groups (1950-1974)
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Thailand Daily Minimum Wage: Southern: Yala data was reported at 308.000 THB in Nov 2018. This stayed constant from the previous number of 308.000 THB for Oct 2018. Thailand Daily Minimum Wage: Southern: Yala data is updated monthly, averaging 128.000 THB from Oct 1974 (Median) to Nov 2018, with 530 observations. The data reached an all-time high of 308.000 THB in Nov 2018 and a record low of 18.000 THB in Sep 1977. Thailand Daily Minimum Wage: Southern: Yala data remains active status in CEIC and is reported by Ministry of Labour. The data is categorized under Global Database’s Thailand – Table TH.G008: Daily Minimum Wage.
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Thailand Daily Minimum Wage: Northeastern: Roi Et data was reported at 310.000 THB in Oct 2018. This stayed constant from the previous number of 310.000 THB for Sep 2018. Thailand Daily Minimum Wage: Northeastern: Roi Et data is updated monthly, averaging 128.000 THB from Oct 1974 (Median) to Oct 2018, with 529 observations. The data reached an all-time high of 310.000 THB in Oct 2018 and a record low of 16.000 THB in Sep 1977. Thailand Daily Minimum Wage: Northeastern: Roi Et data remains active status in CEIC and is reported by Ministry of Labour. The data is categorized under Global Database’s Thailand – Table TH.G008: Daily Minimum Wage.
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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 Oak Park Heights. The dataset can be utilized to gain insights into gender-based income distribution within the Oak Park Heights population, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Income brackets:
Variables / Data Columns
Employment type classifications include:
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.
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/.
This dataset is a part of the main dataset for Oak Park Heights median household income by race. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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 Choctaw County. The dataset can be utilized to gain insights into gender-based income distribution within the Choctaw County population, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Income brackets:
Variables / Data Columns
Employment type classifications include:
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.
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/.
This dataset is a part of the main dataset for Choctaw County median household income by race. You can refer the same here
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Graph and download economic data for Real Median Personal Income in West Census Region (MEPAINUSWEA672N) from 1974 to 2023 about West Census Region, personal income, personal, median, income, real, and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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 San Anselmo. The dataset can be utilized to gain insights into gender-based income distribution within the San Anselmo population, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Income brackets:
Variables / Data Columns
Employment type classifications include:
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.
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/.
This dataset is a part of the main dataset for San Anselmo median household income by race. You can refer the same here
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Taiwan FIES: Avg Personal Income: Compensation of Employees data was reported at 695,838.054 NTD in 2017. This records an increase from the previous number of 674,344.020 NTD for 2016. Taiwan FIES: Avg Personal Income: Compensation of Employees data is updated yearly, averaging 574,970.010 NTD from Dec 1974 (Median) to 2017, with 44 observations. The data reached an all-time high of 695,838.054 NTD in 2017 and a record low of 60,984.000 NTD in 1974. Taiwan FIES: Avg Personal Income: Compensation of Employees data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.H019: Family Income and Expenditure Survey: Directorate General of Budget, Accounting and Statistics.
Construction union wage rates (CUWR) by National Occupational Classification (NOC). Monthly data are available from January 1971. The table presents data for the most recent reference period and the last four periods. The base period for the index is (2007=100).
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Graph and download economic data for Median Personal Income in the United States from 1974 to 2023 about personal income, personal, median, income, and USA.