Data measure usual weekly earnings of wage and salary workers. Wage and salary workers are workers who receive wages, salaries, commissions, tips, payment in kind, or piece rates. The group includes employees in both the private and public sectors but, for the purposes of the earnings series, it excludes all self-employed persons, both those with incorporated businesses and those with unincorporated businesses. Usual weekly earnings represent earnings before taxes and other deductions and include any overtime pay, commissions, or tips usually received (at the main job in the case of multiple jobholders). Prior to 1994, respondents were asked how much they usually earned per week. Since January 1994, respondents have been asked to identify the easiest way for them to report earnings (hourly, weekly, biweekly, twice monthly, monthly, annually, or other) and how much they usually earn in the reported time period. Earnings reported on a basis other than weekly are converted to a weekly equivalent. The term "usual" is determined by each respondent's own understanding of the term. If the respondent asks for a definition of "usual," interviewers are instructed to define the term as more than half the weeks worked during the past 4 or 5 months. For more information see https://www.bls.gov/cps/earnings.htm

The series comes from the 'Current Population Survey (Household Survey)'

The source code is: LES1252881500

Graph and download economic data for Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over: Men (LEU0252881900A) from 1979 to 2024 about full-time, males, salaries, workers, earnings, 16 years +, wages, median, real, employment, and USA.

Data measure usual weekly earnings of wage and salary workers. Wage and salary workers are workers who receive wages, salaries, commissions, tips, payment in kind, or piece rates. The group includes employees in both the private and public sectors but, for the purposes of the earnings series, it excludes all self-employed persons, both those with incorporated businesses and those with unincorporated businesses. Usual weekly earnings represent earnings before taxes and other deductions and include any overtime pay, commissions, or tips usually received (at the main job in the case of multiple jobholders). Prior to 1994, respondents were asked how much they usually earned per week. Since January 1994, respondents have been asked to identify the easiest way for them to report earnings (hourly, weekly, biweekly, twice monthly, monthly, annually, or other) and how much they usually earn in the reported time period. Earnings reported on a basis other than weekly are converted to a weekly equivalent. The term "usual" is determined by each respondent's own understanding of the term. If the respondent asks for a definition of "usual," interviewers are instructed to define the term as more than half the weeks worked during the past 4 or 5 months. For more information see https://www.bls.gov/cps/earnings.htm

The series comes from the 'Current Population Survey (Household Survey)'

The source code is: LES1252881900

United States WE: Age 25 & Over: No. of Workers: Some College or Degree data was reported at 26,831.000 Person th in Mar 2020. This records a decrease from the previous number of 27,598.000 Person th for Dec 2019. United States WE: Age 25 & Over: No. of Workers: Some College or Degree data is updated quarterly, averaging 25,709.000 Person th from Mar 2000 (Median) to Mar 2020, with 81 observations. The data reached an all-time high of 27,754.000 Person th in Jun 2018 and a record low of 24,076.000 Person th in Mar 2010. United States WE: Age 25 & Over: No. of Workers: Some College or Degree data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G030: Current Population Survey: Usual Weekly Earnings.

This data collection supplies standard monthly labor force data for the week prior to the survey. Comprehensive data is given on the employment status, occupation, and industry of persons 14 years old and older. Additional data are available concerning weeks worked and hours per week worked, reason not working full-time, total income and income components, and residence. Besides the CPS core questions, this survey gathered additional data on the time of day that wage and salary workers started and ended work, hours worked per week, hourly or weekly earnings, premium pay, union membership status, and whether the respondent worked according to a shift or flextime schedule. This survey also contains supplemental statistics on dual job-holders. Data provided include the reason for holding a second job and the number of hours worked per week at this job for the week prior to the survey. Information on demographic characteristics, such as age, sex, race, marital status, veteran status, household relationship, educational level, and Hispanic origin, is available for each person in the household enumerated. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR08137.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

Data measure usual weekly earnings of wage and salary workers. Wage and salary workers are workers who receive wages, salaries, commissions, tips, payment in kind, or piece rates. The group includes employees in both the private and public sectors but, for the purposes of the earnings series, it excludes all self-employed persons, both those with incorporated businesses and those with unincorporated businesses. Usual weekly earnings represent earnings before taxes and other deductions and include any overtime pay, commissions, or tips usually received (at the main job in the case of multiple jobholders). Prior to 1994, respondents were asked how much they usually earned per week. Since January 1994, respondents have been asked to identify the easiest way for them to report earnings (hourly, weekly, biweekly, twice monthly, monthly, annually, or other) and how much they usually earn in the reported time period. Earnings reported on a basis other than weekly are converted to a weekly equivalent. The term "usual" is determined by each respondent's own understanding of the term. If the respondent asks for a definition of "usual," interviewers are instructed to define the term as more than half the weeks worked during the past 4 or 5 months. For more information see https://www.bls.gov/cps/earnings.htm

The series comes from the 'Current Population Survey (Household Survey)'

The source code is: LEU0252882200

United States WE: Age 16 & Over: No. of Workers: Hispanic or Latino (HL) data was reported at 21,153.000 Person th in Mar 2020. This records a decrease from the previous number of 21,494.000 Person th for Dec 2019. United States WE: Age 16 & Over: No. of Workers: Hispanic or Latino (HL) data is updated quarterly, averaging 15,776.000 Person th from Mar 2000 (Median) to Mar 2020, with 81 observations. The data reached an all-time high of 21,494.000 Person th in Dec 2019 and a record low of 12,369.000 Person th in Mar 2000. United States WE: Age 16 & Over: No. of Workers: Hispanic or Latino (HL) data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G030: Current Population Survey: Usual Weekly Earnings.

Abstract (en): This data collection supplies standard monthly labor force data as well as supplemental data on work experience, income, and migration. Comprehensive information is given on the employment status, occupation, and industry of persons 14 years old and older. Additional data are available concerning weeks worked and hours per week worked, reason not working full-time, total income and income components, and residence. Information on demographic characteristics, such as age, sex, race, educational attainment, marital status, veteran status, household relationship, and Hispanic origin, is available for each person in the household enumerated. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Standardized missing values.; Checked for undocumented or out-of-range codes.. Persons in the civilian noninstitutional population of the United States living in households and members of the armed forces living in civilian housing units in 1970. A national probability sample was used in selecting housing units. (1) This data file is rectangular. It consists of combined family and individual records. (2) Each family and person record contains a weight, which must be used in any analysis.

United States WE: Age 25 & Over: Male: Some College or Degree: Third Quartile data was reported at 1,472.000 USD in Mar 2020. This records an increase from the previous number of 1,451.000 USD for Dec 2019. United States WE: Age 25 & Over: Male: Some College or Degree: Third Quartile data is updated quarterly, averaging 1,175.000 USD from Mar 2000 (Median) to Mar 2020, with 81 observations. The data reached an all-time high of 1,472.000 USD in Mar 2020 and a record low of 937.000 USD in Mar 2000. United States WE: Age 25 & Over: Male: Some College or Degree: Third Quartile data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G030: Current Population Survey: Usual Weekly Earnings.

Data measure usual weekly earnings of wage and salary workers. Wage and salary workers are workers who receive wages, salaries, commissions, tips, payment in kind, or piece rates. The group includes employees in both the private and public sectors but, for the purposes of the earnings series, it excludes all self-employed persons, both those with incorporated businesses and those with unincorporated businesses. Usual weekly earnings represent earnings before taxes and other deductions and include any overtime pay, commissions, or tips usually received (at the main job in the case of multiple jobholders). Prior to 1994, respondents were asked how much they usually earned per week. Since January 1994, respondents have been asked to identify the easiest way for them to report earnings (hourly, weekly, biweekly, twice monthly, monthly, annually, or other) and how much they usually earn in the reported time period. Earnings reported on a basis other than weekly are converted to a weekly equivalent. The term "usual" is determined by each respondent's own understanding of the term. If the respondent asks for a definition of "usual," interviewers are instructed to define the term as more than half the weeks worked during the past 4 or 5 months. For more information see https://www.bls.gov/cps/earnings.htm

The series comes from the 'Current Population Survey (Household Survey)'

The source code is: LEU0252882500

United States WE: Age 25 & Over: Male: Some College or Degree: First Quartile data was reported at 714.000 USD in Mar 2020. This records an increase from the previous number of 696.000 USD for Dec 2019. United States WE: Age 25 & Over: Male: Some College or Degree: First Quartile data is updated quarterly, averaging 590.000 USD from Mar 2000 (Median) to Mar 2020, with 81 observations. The data reached an all-time high of 714.000 USD in Mar 2020 and a record low of 483.000 USD in Jun 2000. United States WE: Age 25 & Over: Male: Some College or Degree: First Quartile data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G030: Current Population Survey: Usual Weekly Earnings.

Standard labor force activity data for the week prior to the survey are provided in this data collection. Comprehensive data are supplied on the employment status, occupation, and industry of persons 15 years old and over. Also presented are personal characteristics such as age, sex, race, marital status, veteran status, household relationship, educational background, and Spanish origin. Supplemental data pertaining to work schedules include items on the usual number of hours worked daily and weekly, usual number of days and specific days worked weekly, starting and ending times of an individual's work day, and whether these starting and ending times could be varied. For deviations from regular work schedules, the main reason and length of time a particular schedule or shift was worked is elicited. Questions dealing with overtime include number of extra hours worked and rate of pay. For dual jobholders, data are provided on starting and ending times of the work day, number of weekly hours worked, earnings, occupation, industry, and main reason for working more than one job. Questions are included about primary job-related activities completed at home and about temporary work. Data on volunteer work are also provided. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR09809.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

This dataset includes information on labor force activity for the week prior to the survey. Comprehensive data are provided on the employment status, occupation, and industry of persons 14 years old and over. Also included are personal characteristics such as age, sex, race, marital status, veteran status, household relationship, educational background, and Spanish origin. The supplement includes data on pension and retirement plan coverage through employer- or union-sponsored retirement plans, as well as individual retirement plans (IRAs) and Keoghs. Questions were asked of all persons employed for pay in four rotation groups common to the March 1988 Current Population Survey (CPS). Income and work experience data from the March income supplement are also included for individuals in these four rotation groups. In addition, the May supplement file was matched to the June CPS file to pick up that month's earnings data, and it was matched to the March income supplement to pick up detailed income information. The May supplement can be viewed as having three distinct parts: CPS labor force data, employee benefits supplement data, and March income data.

Data measure usual weekly earnings of wage and salary workers. Wage and salary workers are workers who receive wages, salaries, commissions, tips, payment in kind, or piece rates. The group includes employees in both the private and public sectors but, for the purposes of the earnings series, it excludes all self-employed persons, both those with incorporated businesses and those with unincorporated businesses. Usual weekly earnings represent earnings before taxes and other deductions and include any overtime pay, commissions, or tips usually received (at the main job in the case of multiple jobholders). Prior to 1994, respondents were asked how much they usually earned per week. Since January 1994, respondents have been asked to identify the easiest way for them to report earnings (hourly, weekly, biweekly, twice monthly, monthly, annually, or other) and how much they usually earn in the reported time period. Earnings reported on a basis other than weekly are converted to a weekly equivalent. The term "usual" is determined by each respondent's own understanding of the term. If the respondent asks for a definition of "usual," interviewers are instructed to define the term as more than half the weeks worked during the past 4 or 5 months. Visit the BLS (https://www.bls.gov/cps/earnings.htm) for more information.

The series comes from the 'Current Population Survey (Household Survey)'

The source code is: LES1252881600

United States WE: Age 25 & Over: Male: Some College or Degree: Ninth Decile data was reported at 2,009.000 USD in Mar 2020. This records an increase from the previous number of 1,983.000 USD for Dec 2019. United States WE: Age 25 & Over: Male: Some College or Degree: Ninth Decile data is updated quarterly, averaging 1,609.000 USD from Mar 2000 (Median) to Mar 2020, with 81 observations. The data reached an all-time high of 2,009.000 USD in Mar 2020 and a record low of 1,246.000 USD in Jun 2000. United States WE: Age 25 & Over: Male: Some College or Degree: Ninth Decile data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G030: Current Population Survey: Usual Weekly Earnings.

This data collection contains the Current Population Survey (CPS), which is a monthly household survey of employment and labor markets. Prepared by the National Bureau of Economic Research, this collection contains extracts from the CPS for 1979-1994. The extracts include individual data for about 30,000 individuals each month. The 50 or so variables selected relate to employment: hours worked, earnings, industry, occupation, education, and unionization. The extracts also contain many background variables: age, sex, race, ethnicity, geographic location, etc. Aside from standardizing the many different codes used by Census to indicate missing values, most variables are just as created by Census. Since 1979 only households in months 4 and 8 have been asked their usual weekly earnings/usual weekly hours. These are the outgoing rotation groups, and each year the Bureau of Labor Statistics gathers all these interviews together into a Merged Outgoing Rotation Group File.

This data collection supplies standard monthly labor force data for the week prior to the survey. Comprehensive information is given on the employment status, occupation, and industry of persons 14 years old and older. Additional data are available concerning weeks worked and hours per week worked, reason not working full-time, total income and income components, and residence. This dataset also contains supplemental information on pension and retirement plan coverage through employer- or union-sponsored retirement plans as well as individual retirement plans and Keogh plans. Information on demographic characteristics, such as age, sex, race, household relationship, and Hispanic origin, is available for each person in the household enumerated. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR08335.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

Abstract (en): This data collection is comprised of responses from two sets of survey questionnaires, the basic Current Population Survey (CPS) and a survey on the topic of food security in the United States, which was administered as a supplement to the December 2006 CPS questionnaire. The CPS Food Security supplement was sponsored and conducted by the United States Census Bureau for the Economic Research Service (ERS) of the United States Department of Agriculture (USDA).The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States. Specifically, the CPS provides estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment. Data from the CPS are provided for the week prior to the survey. In December, the week containing the nineteenth day of the month was the interview week. The week containing the twelfth day was the reference week (i.e., the week about which the labor force questions were asked).The supplement was intended to research the full range of severity of food insecurity as experienced in United States households. The food security questions were asked of all interviewed households, as appropriate. Respondents were queried on how much the household spent for food, their use of federal and community food assistance programs, whether they were able to afford enough food, food sufficiency, and ways of coping with not having enough food. Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income. The Food Security supplement variables can be categorized by five major sections: Food Spending (HES1A-HES8).; Minimum Food Spending Needed (HES8B-HES8D).; Food Assistance Program Participation (HES9-HESP9).; Food Sufficiency and Food Security (HESS1-HESSHM5). This section includes the 18 food security questions that are used to calculate the 12-month Food Security Scales as well as follow-up questions that are used to calculate the 30-day food security scales.; Ways of Avoiding or Ameliorating Food Deprivation -- Coping Strategies (HESC1-HESCM4).; The data contain nine weight variables: Household Weight -- HWHHWGT -- Used in tallying household-level characteristics for labor force survey variables.; Family Weight -- PWFMWGT -- Used only in tallying family-level characteristics for labor force survey variables.; Longitudinal Weight -- PWLGWGT -- Found only on adult records matched from month to month (used for gross flows analysis).; Outgoing Rotation Weight -- PWORWGT -- Used for tallying information collected only in outgoing rotations.; Final Weight -- PWSSWGT -- Used for most tabulations, controlled to independent estimates for (1) States; (2) Origin, Sex, and Age; and (3) Age, Race, and Sex.; Veteran's Weight -- PWVETWGT -- Used for tallying veteran's data only.; Composited Final Weight -- PWCMPWGT -- Used to create BLS's published labor force statistics.; Supplement Household Weight -- HHSUPWGT -- Used in tallying household-level characteristics for supplement survey variables.; Supplement Person Weight -- PWSUPWGT -- Used in tallying household member-level characteristics for supplement survey variables.; Users are strongly encouraged to refer to the User Guide for additional detailed information on how to use these weights, as well as how they were derived. Presence of Common Scales: Detailed information regarding the scales is located in Attachment 17 of the User Guide. The basic CPS universe is comprised of all persons in the civilian noninstitutionalized population of the United States living in households. The December 2006 supplement universe represented the full CPS sample comprised of all interviewed CPS households. The CPS uses a multistage probability sample based on results of the decennial census, with coverage in all 50 states and the District of Columbia. 2011-09-07 The ASCII data for this collection have been completely replaced. The data collection has been updated to include SAS, SPSS, and Stata setup files for use with the new data. Also included in the update are a corresponding SAS transport (CPORT) file, SPSS system file, Stata system file, and a tab-delimited version of the new ASCII data. computer-assisted personal interview (CAPI), computer-assisted telephone ...

Data measure usual weekly earnings of wage and salary workers. Wage and salary workers are workers who receive wages, salaries, commissions, tips, payment in kind, or piece rates. The group includes employees in both the private and public sectors but, for the purposes of the earnings series, it excludes all self-employed persons, both those with incorporated businesses and those with unincorporated businesses. Usual weekly earnings represent earnings before taxes and other deductions and include any overtime pay, commissions, or tips usually received (at the main job in the case of multiple jobholders). Prior to 1994, respondents were asked how much they usually earned per week. Since January 1994, respondents have been asked to identify the easiest way for them to report earnings (hourly, weekly, biweekly, twice monthly, monthly, annually, or other) and how much they usually earn in the reported time period. Earnings reported on a basis other than weekly are converted to a weekly equivalent. The term "usual" is determined by each respondent's own understanding of the term. If the respondent asks for a definition of "usual," interviewers are instructed to define the term as more than half the weeks worked during the past 4 or 5 months. For more information see https://www.bls.gov/cps/earnings.htm

The series comes from the 'Current Population Survey (Household Survey)'

The source code is: LEU0252884600

United States WE: Age 25 & Over: Female: Some College or Degree: First Quartile data was reported at 575.000 USD in Mar 2020. This records an increase from the previous number of 568.000 USD for Dec 2019. United States WE: Age 25 & Over: Female: Some College or Degree: First Quartile data is updated quarterly, averaging 472.000 USD from Mar 2000 (Median) to Mar 2020, with 81 observations. The data reached an all-time high of 575.000 USD in Mar 2020 and a record low of 372.000 USD in Mar 2000. United States WE: Age 25 & Over: Female: Some College or Degree: First Quartile data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G030: Current Population Survey: Usual Weekly Earnings.