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 Series Title: Number At work part-time, usually work part-timeEconomic reasons 30-34 hours 25-34 yrs. Male: NSA (Thousands)
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 1976 06 7140.
 1976 07 7530.
 1976 08 8831.
 1976 09 6733·
 1976 10 9750·
 1976 11 6152.
 1976 12 4838.
 1977 01  7540·
 1977 02  3927.
 1977 03  9641·
 1977 04  6035.
 1977 05  3217.
 1977 06  4834·
 1977 07  6044·
 1977 08  3547·
 1977 09  8143.
 1977 10  9945.
 1977 11  6243·
 1977 12  1216·
 1978 01 9230·
 1978 02 9326·
 1978 03 3239.
 1978 04 5451·
 1978 05 6044·
 1978 06 5439·
 1978 07 2744·
 1978 08 4836.
 1978 09 220.
 1978 10 3441·
 1978 11 2828·
 1978 12 821·
 1979 01  6426·
 1979 02  814·
 1979 03  4341·
 1979 04  7041·
 1979 05  1545·
 1979 06  7637.
 1979 07  336.
 1979 08  9935.
 1979 09  4819.
 1979 10  6334.
 1979 11  6440·
 1979 12  8231.
 1980 01 8329.
 1980 02 2033·
 1980 03 940·
 1980 04 3258·
 1980 05 6455.
 1980 06 2256·
 1980 07 4352.
 1980 08 8748.
 1980 09 6034·
 1980 10 7056·
 1980 11 9940.
 1980 12 951·
 1981 01  6552·
 1981 02  8946·
 1981 03  3370.
 1981 04  8760.
 1981 05  9960.
 1981 06  2963·
 1981 07  2770.
 1981 08  3468·
 1981 09  535·
 1981 10  6658·
 1981 11  8852·
 1981 12  8658.
 1982 01 5253·
 1982 02 070.
 1982 03 4684·
 1982 04 977.
 1982 05 36100.
 1982 06 57111.
 1982 07 59109·
 1982 08 8875.
 1982 09 7481.
 1982 10 8774·
 1982 11 9103·
 1982 12 37115·
 1983 01  12102·
 1983 02  6588·
 1983 03  195·
 1983 04  9487.
 1983 05  17130.
 1983 06  92104·
 1983 07  69117.
 1983 08  2287·
 1983 09  85112.
 1983 10  93103.
 1983 11  67107.
 1983 12  9113.
 1984 01 35103·
 1984 02 1984.
 1984 03 78124.
 1984 04 6894.
 1984 05 1087.
 1984 06 45107·
 1984 07 992.
 1984 08 36109·
 1984 09 79109·
 1984 10 7190.
 1984 11 9198·
 1984 12 76149.
 1985 01  3893.
 1985 02  2290.
 1985 03  81103·
 1985 04  7768·
 1985 05  5125·
 1985 06  5097·
 1985 07  6184·
 1985 08  50115·
 1985 09  24108·
 1985 10  29115.
 1985 11  37103.
 1985 12  35105.
 1986 01 64101·
 1986 02 61114.
 1986 03 40103.
 1986 04 94127·
 1986 05 20111·
 1986 06 6998·
 1986 07 2896·
 1986 08 1599·
 1986 09 10121·
 1986 10 5146.
 1986 11 8290.
 1986 12 10122.
 1987 01  79120·
 1987 02  44113.
 1987 03  8140.
 1987 04  1898·
 1987 05  96124·
 1987 06  87106.
 1987 07  39127·
 1987 08  2130.
 1987 09  55102.
 1987 10  58102·
 1987 11  31115·
 1987 12  4998.
 1988 01 75123·
 1988 02 998·
 1988 03 65125.
 1988 04 72105·
 1988 05 065.
 1988 06 14111.
 1988 07 49102.
 1988 08 973.
 1988 09 091.
 1988 10 7594·
 1988 11 13106·
 1988 12 2483·
 1989 01  6881·
 1989 02  15117.
 1989 03  15106·
 1989 04  390.
 1989 05  24119.
 1989 06  8783·
 1989 07  37114.
 1989 08  6199.
 1989 09  1393.
 1989 10  64100·
 1989 11  84118.
 1989 12  3465·
 1990 01 298.
 1990 02 4992.
 1990 03 88101.
 1990 04 85106.
 1990 05 8686.
 1990 06 6594.
 1990 07 799·
 1990 08 4102.
 1990 09 8493.
 1990 10 64110·
 1990 11 21103·
 1990 12 1124·
 1991 01  41104·
 1991 02  20136·
 1991 03  38144.
 1991 04  16110·
 1991 05  25113.
 1991 06  34119.
 1991 07  89115·
 1991 08  12132.
 1991 09  32136·
 1991 10  32138.
 1991 11  30158·
 1991 12  75147.
 1992 01 79143.
 1992 02 64122.
 1992 03 44158.
 1992 04 19151·
 1992 05 1194.
 1992 06 5157.
 1992 07 36130·
 1992 08 83148.
 1992 09 97180.
 1992 10 56147·
 1992 11 39151.
 1992 12 27122.
 1993 01  31173·
 1993 02  42149·
 1993 03  10138.
 1993 04  42173·
 1993 05  33136.
 1993 06  14143·
 1993 07  29132.
 1993 08  39137.
 1993 09  46168·
 1993 10  46172.
 1993 11  4132·
 1993 12  57141·
 1994 01 40181·
 1994 02 40119.
 1994 03 66147.
 1994 04 58101·
 1994 05 9154.
 1994 06 20130·
 1994 07 7198·
 1994 08 30123.
 1994 09 72103·
 1994 10 37111.
 1994 11 398·
 1994 12 86121·
 1995 01  7381·
 1995 02  67117·
 1995 03  66148·
 1995 04  65135·
 1995 05  82120·
 1995 06  10127·
 1995 07  9393.
 1995 08  28131·
 1995 09  91108·
 1995 10  90118.
 1995 11  4075.
 1995 12  64102.
 1996 01 2199·
 1996 02 6098.
 1996 03 89126·
 1996 04 85141.
 1996 05 1693.
 1996 06 93108.
 1996 07 47134·
 1996 08 30118·
 1996 09 4562.
 1996 10 91123.
 1996 11 4580·
 1996 12 6298.
 1997 01  288·
 1997 02  7899·
 1997 03  40120·
 1997 04  6892.
 1997 05  5110·
 1997 06  690·
 1997 07  1382.
 1997 08  6170·
 1997 09  091.
 1997 10  49109.
 1997 11  7286.
 1997 12  8098.
 1998 01 5690·
 1998 02 894.
 1998 03 48119.
 1998 04 86100.
 1998 05 6675·
 1998 06 956·
 1998 07 9786·
 1998 08 6883.
 1998 09 4993·
 1998 10 164·
 1998 11 156·
 1998 12 4072.
 1999 01  5189.
 1999 02  6195·
 1999 03  6775.
 1999 04  3790·
 1999 05  3988.
 1999 06  8856.
 1999 07  2664·
 1999 08  2553.
 1999 09  857·
 1999 10  774·
 1999 11  3578·
 1999 12  9089.
 2000 01 7880.
 2000 02 7058.
 2000 03 7689.
 2000 04 4563·
 2000 05 9265·
 2000 06 5275.
 2000 07 5676.
 2000 08 2845.
 2000 09 1947.
 2000 10 5340.
 2000 11 574·
 2000 12 365·
 2001 01  5485.
 2001 02  9869·
 2001 03  8189.
 2001 04  5689.
 2001 05  1692·
 2001 06  3988.
 2001 07  6571·
 2001 08  273·
 2001 09  4974.
 2001 10  4997·
 2001 11  6488·


 2001 12  77104.
 2002 01 22107·
 2002 02 3084.
 2002 03 998.
 2002 04 4579.
 2002 05 2993.
 2002 06 795·
 2002 07 58102.
 2002 08 9487·
 2002 09 90104·
 2002 10 3182.
 2002 11 91111.
 2002 12 36103·
 2003 01  48134.
 2003 02  76125.

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 part-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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