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 Series Title: Number At work part-time, usually work full-timeEconomic reasons 30-34 hours 25-34 yrs. Male: NSA (Thousands)
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 1976 06 2388.
 1976 07 4995·
 1976 08 3686.
 1976 09 88106.
 1976 10 3379.
 1976 11 9894.
 1976 12 1581.
 1977 01  4492.
 1977 02  27127·
 1977 03  64104.
 1977 04  1396·
 1977 05  17103·
 1977 06  5894·
 1977 07  3087·
 1977 08  4468·
 1977 09  5174.
 1977 10  9889·
 1977 11  1105.
 1977 12  4595.
 1978 01 1767·
 1978 02 5180·
 1978 03 9110·
 1978 04 7980·
 1978 05 775·
 1978 06 40101.
 1978 07 1085.
 1978 08 3587.
 1978 09 4179·
 1978 10 1565.
 1978 11 8880.
 1978 12 2585.
 1979 01  6379.
 1979 02  54124.
 1979 03  47117.
 1979 04  87105.
 1979 05  4291.
 1979 06  5581.
 1979 07  2080.
 1979 08  84103.
 1979 09  7385.
 1979 10  44107·
 1979 11  63110.
 1979 12  3117.
 1980 01 74102·
 1980 02 72118·
 1980 03 58114.
 1980 04 58162.
 1980 05 90147·
 1980 06 14184·
 1980 07 12128·
 1980 08 87154.
 1980 09 90119·
 1980 10 71117.
 1980 11 57150·
 1980 12 52146·
 1981 01  67131.
 1981 02  67133·
 1981 03  48145·
 1981 04  42121·
 1981 05  42137.
 1981 06  53120.
 1981 07  67123.
 1981 08  69144·
 1981 09  58135.
 1981 10  5176.
 1981 11  22127·
 1981 12  71210·
 1982 01 85134·
 1982 02 23233·
 1982 03 44214.
 1982 04 11227·
 1982 05 16205·
 1982 06 32181·
 1982 07 89200.
 1982 08 77179.
 1982 09 71205.
 1982 10 83186·
 1982 11 39180.
 1982 12 81259.
 1983 01  93240·
 1983 02  51188·
 1983 03  1169.
 1983 04  63164.
 1983 05  52141·
 1983 06  36167.
 1983 07  6123.
 1983 08  84132.
 1983 09  43125·
 1983 10  64174·
 1983 11  12155·
 1983 12  32147.
 1984 01 84185.
 1984 02 86144.
 1984 03 99149·
 1984 04 21136.
 1984 05 19129·
 1984 06 77145·
 1984 07 74105.
 1984 08 88135.
 1984 09 17136·
 1984 10 36140.
 1984 11 70136·
 1984 12 96162·
 1985 01  73163·
 1985 02  90153.
 1985 03  42170.
 1985 04  33151.
 1985 05  7164.
 1985 06  89131.
 1985 07  72127·
 1985 08  13150·
 1985 09  60116.
 1985 10  8119.
 1985 11  67146·
 1985 12  72137·
 1986 01 4185·
 1986 02 47146·
 1986 03 58134.
 1986 04 73176.
 1986 05 33169.
 1986 06 33149.
 1986 07 3160·
 1986 08 6163.
 1986 09 64132.
 1986 10 15147·
 1986 11 82129·
 1986 12 81128·
 1987 01  43136·
 1987 02  69196·
 1987 03  3170·
 1987 04  38168·
 1987 05  39127.
 1987 06  95126·
 1987 07  97161·
 1987 08  40142.
 1987 09  4678·
 1987 10  19128.
 1987 11  21154.
 1987 12  73133.
 1988 01 82159·
 1988 02 90193.
 1988 03 56179·
 1988 04 52190·
 1988 05 92188.
 1988 06 85139·
 1988 07 9144.
 1988 08 14113·
 1988 09 46127·
 1988 10 4126·
 1988 11 12140.
 1988 12 21144·
 1989 01  37148.
 1989 02  72124.
 1989 03  21163·
 1989 04  62139·
 1989 05  84136.
 1989 06  40111·
 1989 07  18179.
 1989 08  50138.
 1989 09  33114·
 1989 10  82126·
 1989 11  9167.
 1989 12  22131·
 1990 01 50187.
 1990 02 0166.
 1990 03 27199·
 1990 04 42147.
 1990 05 32103.
 1990 06 18125·
 1990 07 28132·
 1990 08 97173.
 1990 09 97145.
 1990 10 88148.
 1990 11 93179.
 1990 12 0199·
 1991 01  89201.
 1991 02  84259.
 1991 03  29237.
 1991 04  89180.
 1991 05  77166·
 1991 06  7154·
 1991 07  68181.
 1991 08  27181·
 1991 09  56165·
 1991 10  82255·
 1991 11  66248·
 1991 12  2243.
 1992 01 44267·
 1992 02 60247·
 1992 03 5218.
 1992 04 26172·
 1992 05 86190.
 1992 06 16218·
 1992 07 93162·
 1992 08 39179·
 1992 09 51138.
 1992 10 50195.
 1992 11 59192.
 1992 12 2174·
 1993 01  33161·
 1993 02  89214.
 1993 03  61199.
 1993 04  3145·
 1993 05  51223·
 1993 06  81158.
 1993 07  81188.
 1993 08  55136.
 1993 09  50176.
 1993 10  3139·
 1993 11  25191·
 1993 12  97161·
 1994 01 98128.
 1994 02 55108.
 1994 03 25137·
 1994 04 91112.
 1994 05 89106.
 1994 06 63106·
 1994 07 38105·
 1994 08 2590.
 1994 09 4394.
 1994 10 7690.
 1994 11 4566·
 1994 12 1185·
 1995 01  4144.
 1995 02  71105·
 1995 03  53135.
 1995 04  89120·
 1995 05  41121.
 1995 06  4786.
 1995 07  9388.
 1995 08  2094·
 1995 09  4992·
 1995 10  3077·
 1995 11  22118.
 1995 12  92135·
 1996 01 45115.
 1996 02 70119.
 1996 03 22116·
 1996 04 19122.
 1996 05 7588·
 1996 06 4384·
 1996 07 9991·
 1996 08 3990.
 1996 09 7106.
 1996 10 4988·
 1996 11 8599.
 1996 12 13101.
 1997 01  37115.
 1997 02  14141.
 1997 03  37105·
 1997 04  31165·
 1997 05  82105·
 1997 06  8893.
 1997 07  36100·
 1997 08  566.
 1997 09  8781·
 1997 10  4673.
 1997 11  8983·
 1997 12  72100·
 1998 01 21128·
 1998 02 89116·
 1998 03 28106.
 1998 04 9693.
 1998 05 7899.
 1998 06 4175·
 1998 07 996·
 1998 08 65101·
 1998 09 7856·
 1998 10 55101.
 1998 11 1453·
 1998 12 9297.
 1999 01  6579.
 1999 02  4116.
 1999 03  49107·
 1999 04  1483.
 1999 05  769.
 1999 06  8983.
 1999 07  4794·
 1999 08  9475·
 1999 09  9987.
 1999 10  3680.
 1999 11  6375.
 1999 12  2095.
 2000 01 6070.
 2000 02 9594.
 2000 03 8082·
 2000 04 664·
 2000 05 3482.
 2000 06 4278.
 2000 07 377·
 2000 08 8864.
 2000 09 9074·
 2000 10 7669.
 2000 11 66108·
 2000 12 3190·
 2001 01  2392·
 2001 02  2488.
 2001 03  24128·
 2001 04  2186.
 2001 05  5195.
 2001 06  3597·
 2001 07  5872.
 2001 08  7285.
 2001 09  19131.
 2001 10  85161.
 2001 11  77131·


 2001 12  2296.
 2002 01 96140·
 2002 02 75113·
 2002 03 10132·
 2002 04 33154.
 2002 05 7592·
 2002 06 2980·
 2002 07 1683·
 2002 08 93133·
 2002 09 77104·
 2002 10 9889.
 2002 11 7599.
 2002 12 15102·
 2003 01  45121·
 2003 02  58134.

Similar Series

Skip to Data / More Chart Options

US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and Alternative Measures of Labor Underutilization
Unemployment Rate: Gender
Unemployment Rate: Black: Gender
Unemployment Rate: White: Gender
Unemployment Rate: Race
Unemployment Rate: Age: 16/25/35/45/55
Unemployment Rate: Education
Unemployment Rate: Nonagricultural Industry
Unemployment Rate: Job Category
Median Weeks Unemployed: Age
Median Weeks Unemployed: Race


The US Labor Force Dataset from the BLS contains nearly 15,000 series.
These series are subcategories of the popular series of:

Civilian Labor Force (subcategories)
Employment Level (subcategories)
Unemployment Level (subcategories)
US Unemployment Rate (subcategories)
Population (subcategories)
Employment-Population Ratio (subcategories)
Median Weeks Unemployed (subcategories)
Percent Distribution (subcategories)
Average Hours At Work (subcategories)
Of Total Unemployed (subcategories)

These basic measures are augmented by:

Population
Labor Force Participation Rate
Employment-Population Ratio
Not in Labor Force
Number at work
Average hours at work
Multiple jobholders
Average number of search methods used
Number At work part-time

These series can be subdivided by:

Sex:

Male
Female

Race and Ethnicity:

White
Black
Hispanic
Mexican
Puerto Rican
Cuban

Age:

16 years and over (default)
14_yrs._&_over
16-17_yrs.
16-19_yrs.
16-21_yrs.
16-24_yrs.
18-19_yrs.
20_yrs._&_over
20-24_yrs.
20-64_yrs.
25_yrs._&_over
25-29_yrs.
25-34_yrs.
25-54_yrs.
25-59_yrs.
30-34_yrs.
35-39_yrs.
35-44_yrs.
40-44_yrs.
45_yrs._&_over
45-49_yrs.
45-54_yrs.
50-54_yrs.
55_yrs._&_over
55-59_yrs.
55-64_yrs.
60-61_yrs.
60-64_yrs.
62-64_yrs.
65_yrs._&_over
65-69_yrs.
70_yrs._&_over

Class Of Worker:

Wage_And_Salary_Workers
Private_Wage_And_Salary_Workers
Government_Wage_And_Salary_Workers
Self-employed_Workers
Unpaid_Family_Workers

Industry:

Agriculture_Service
Furniture_And_Fixtures
Motor_Vehicles_&_Motor_Vehicle_Equipment
Aircraft
Tobacco
Eating_And_Drinking
Private_Households
Hospital
Postal
Federal
State
Local
Goods_Producing
Service_Producing
Agriculture_(Excludes_Forestry_And_Fisheries)
Forestry_And_Fisheries
Nonagricultural
Mining
Construction
Manufacturing
Manufacturing,_Durables
Lumber_And_Wood_Products,_Except_Furniture
Stone,_Clay,_And_Glass_Products
Primary_Metal
Fabricated_Metal
Machinery
Electrical_machinery,_equipment,_&_supplies
Transportation_Equipment
Professional_&_photographic_equipment_&_watches
Other_transportation_equipment
Fabricated_Metals
Manufacturing,_Nondurables
Food_And_Kindred_Products
Textile_Mill_Products
Apparel_And_Other_Fabricated_Textile_Products
Paper_And_Allied_Products
Printing,_Publishing,_And_Allied_Industries
Chemicals_And_Allied_Products
Petroleum_And_Coal_Products
Rubber_And_Miscellaneous_Plastic_Products
Leather_And_Leather_Products
Transportation,_Communication,_And_Other_Public_Utilities
Transportation
Transportation_Other_Than_Railroad_And_Railway_Express
Communications_And_Other_Public_Utilities
Communications
Trade
Wholesale_Trade
Retail_Trade
Service_Industries
Finance,_Insurance,_And_Real_Estate
Insurance_And_Real_Estate
Banking_And_Other_Financial_Organizations
Business_And_Repair_Services
Businesses
Repair_Services
Personal_Services
Entertainment_And_Recreation_Services
Professional_And_Related_Services
Medical
Educational_Services
Welfare_And_Religious_Services
Public_Administration

Occupation:

Managerial_&_professional_specialty_occupation
Executive,_administration,_&_managerial
Officials_&_administration,_public_administation
Management_Related_Occupations
Professional_Specialty_Occupations
Engineers
Math_&_Computer_Scientists
Natural_scientists
Health_Diagnosing_Occupations
Health_Assessment_&_Treating
Teachers,_college_&_university
Lawyers_&_Judges
Technical,_sales,_administration_support
Technicians_&_related_support_occupations
Health_technologists_&_technicians
Engineering_&_science_technicians
Technicians
Sales_Occupations
Supervisors_&_Proprietors
Sales_reps,_finance_&_business_services
Sales_reps,_commodities
Sales,_retail_&_personal
Sales_Related_Occupations
Administrative_support
Supervisors
Computer_Equipment_Operators
Secretaries,_stenographers,_&_typists
Financial_Records_Processing
Mail_&_Message_Distributing
Service_Occupation
Private_Household
Protective_Services
Food_Service
Health_Service
Cleaning_&_Building_Service
Personal_Service
Precision_Production,_Craft,_Repair
Mechanics_&_Repairers
Construction_Trades
Operators,_Fabricators,_Laborers
Machine_operators,_assemblers,_inspectors
Operators_&_tenders
Fabricators,_assemblers,_inspectors,_samplers
Transportation,_material_moving
Motor_vehicle_operators
Handlers,_equipment_cleaners,_helpers,_laborers
Construction_Laborers
Freight,_stock_material_handlers
Farming,_Forestry,_Fishing
Farm_Operators_&_Managers
Farm_workers_&_related_occupations
Forestry_&_fishing_occupations

Input your search text below.
or alter the examples after this blank template.







      Example 1: Get Unemployment Rates for people in Computer jobs







      Example 2: Get Employment Data for Workers in the "Retail Trade" Industry







      Example 3: Get Population Level Data for Workers





 Series Title: Number At work part-time, usually work full-timeEconomic reasons 30-34 hours 25-34 yrs. Male: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

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