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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 5640·
 1976 07 4530.
 1976 08 4431.
 1976 09 7233.
 1976 10 7750.
 1976 11 452·
 1976 12 538.
 1977 01  5940·
 1977 02  2627·
 1977 03  2441.
 1977 04  3035.
 1977 05  717.
 1977 06  5534·
 1977 07  8744.
 1977 08  3247.
 1977 09  6143.
 1977 10  3845.
 1977 11  9943.
 1977 12  4716.
 1978 01 8930.
 1978 02 7726.
 1978 03 9139.
 1978 04 4051.
 1978 05 8544·
 1978 06 9639.
 1978 07 2144·
 1978 08 9836.
 1978 09 7020.
 1978 10 4541·
 1978 11 7128·
 1978 12 3321·
 1979 01  8626·
 1979 02  114.
 1979 03  4641·
 1979 04  8441.
 1979 05  345·
 1979 06  6337.
 1979 07  7936·
 1979 08  1435.
 1979 09  1519.
 1979 10  5834·
 1979 11  2540.
 1979 12  1131·
 1980 01 4229·
 1980 02 3433·
 1980 03 6840·
 1980 04 8658.
 1980 05 2755.
 1980 06 6956.
 1980 07 1352.
 1980 08 8048.
 1980 09 3934·
 1980 10 6156·
 1980 11 9140·
 1980 12 5351.
 1981 01  7452.
 1981 02  3846.
 1981 03  6170·
 1981 04  9460.
 1981 05  4960.
 1981 06  4863·
 1981 07  370.
 1981 08  1768.
 1981 09  935.
 1981 10  6758·
 1981 11  2452·
 1981 12  5858.
 1982 01 2353.
 1982 02 9670·
 1982 03 5584.
 1982 04 8177·
 1982 05 86100·
 1982 06 60111.
 1982 07 53109.
 1982 08 7475.
 1982 09 1681.
 1982 10 1074·
 1982 11 1103·
 1982 12 49115·
 1983 01  57102.
 1983 02  2088·
 1983 03  495.
 1983 04  4587.
 1983 05  79130·
 1983 06  92104.
 1983 07  94117·
 1983 08  2487·
 1983 09  76112·
 1983 10  50103.
 1983 11  28107.
 1983 12  74113·
 1984 01 67103.
 1984 02 4684.
 1984 03 87124.
 1984 04 994.
 1984 05 9787.
 1984 06 54107.
 1984 07 7892.
 1984 08 65109·
 1984 09 33109·
 1984 10 7490·
 1984 11 3398.
 1984 12 6149·
 1985 01  7193.
 1985 02  3390.
 1985 03  8103.
 1985 04  2168.
 1985 05  29125·
 1985 06  8197·
 1985 07  8684·
 1985 08  20115·
 1985 09  52108.
 1985 10  92115.
 1985 11  72103.
 1985 12  44105.
 1986 01 9101.
 1986 02 68114·
 1986 03 98103.
 1986 04 53127·
 1986 05 94111·
 1986 06 3498.
 1986 07 2196.
 1986 08 3899·
 1986 09 25121·
 1986 10 39146·
 1986 11 2390·
 1986 12 9122·
 1987 01  49120.
 1987 02  61113·
 1987 03  10140·
 1987 04  598·
 1987 05  32124.
 1987 06  98106.
 1987 07  13127·
 1987 08  90130·
 1987 09  70102.
 1987 10  77102.
 1987 11  90115·
 1987 12  5098·
 1988 01 82123.
 1988 02 4798·
 1988 03 23125·
 1988 04 0105·
 1988 05 1165·
 1988 06 85111·
 1988 07 17102.
 1988 08 7573·
 1988 09 2891.
 1988 10 9094·
 1988 11 4106·
 1988 12 4183·
 1989 01  2581.
 1989 02  88117·
 1989 03  41106.
 1989 04  8490·
 1989 05  23119.
 1989 06  2983·
 1989 07  11114·
 1989 08  1799·
 1989 09  6593·
 1989 10  89100.
 1989 11  18118·
 1989 12  7965.
 1990 01 2198.
 1990 02 6892.
 1990 03 95101.
 1990 04 32106·
 1990 05 8486.
 1990 06 9194.
 1990 07 9999·
 1990 08 63102·
 1990 09 7493.
 1990 10 10110·
 1990 11 11103.
 1990 12 87124·
 1991 01  35104·
 1991 02  98136.
 1991 03  39144.
 1991 04  40110.
 1991 05  36113.
 1991 06  57119·
 1991 07  12115.
 1991 08  87132·
 1991 09  71136·
 1991 10  12138·
 1991 11  89158.
 1991 12  14147·
 1992 01 60143·
 1992 02 14122·
 1992 03 50158.
 1992 04 34151.
 1992 05 4694.
 1992 06 38157.
 1992 07 3130.
 1992 08 85148·
 1992 09 99180·
 1992 10 83147·
 1992 11 79151.
 1992 12 31122.
 1993 01  12173·
 1993 02  76149.
 1993 03  35138.
 1993 04  59173.
 1993 05  6136·
 1993 06  68143·
 1993 07  52132·
 1993 08  83137·
 1993 09  23168·
 1993 10  32172.
 1993 11  37132·
 1993 12  39141.
 1994 01 34181·
 1994 02 70119·
 1994 03 22147.
 1994 04 91101.
 1994 05 32154.
 1994 06 8130.
 1994 07 6398.
 1994 08 26123.
 1994 09 36103·
 1994 10 95111·
 1994 11 4298.
 1994 12 59121·
 1995 01  9281.
 1995 02  7117·
 1995 03  66148.
 1995 04  25135.
 1995 05  66120.
 1995 06  44127·
 1995 07  6593·
 1995 08  89131·
 1995 09  55108.
 1995 10  32118.
 1995 11  9875·
 1995 12  39102.
 1996 01 7799·
 1996 02 2198·
 1996 03 45126.
 1996 04 86141·
 1996 05 7693·
 1996 06 87108·
 1996 07 13134.
 1996 08 70118.
 1996 09 2162·
 1996 10 29123.
 1996 11 3480.
 1996 12 5398·
 1997 01  788·
 1997 02  7499·
 1997 03  65120·
 1997 04  2292.
 1997 05  52110.
 1997 06  7290·
 1997 07  8682·
 1997 08  9170·
 1997 09  191.
 1997 10  97109·
 1997 11  586·
 1997 12  9898.
 1998 01 2390·
 1998 02 5194·
 1998 03 53119.
 1998 04 6100.
 1998 05 1275·
 1998 06 5956·
 1998 07 8886.
 1998 08 183.
 1998 09 8893.
 1998 10 7164.
 1998 11 9056.
 1998 12 9972·
 1999 01  9389.
 1999 02  6295·
 1999 03  6675·
 1999 04  3590.
 1999 05  9888·
 1999 06  3456.
 1999 07  4864.
 1999 08  7353.
 1999 09  9657·
 1999 10  1174.
 1999 11  9378·
 1999 12  189.
 2000 01 880.
 2000 02 4458·
 2000 03 8289.
 2000 04 3363·
 2000 05 7665.
 2000 06 875.
 2000 07 2176.
 2000 08 545.
 2000 09 7047·
 2000 10 340.
 2000 11 4374.
 2000 12 8065·
 2001 01  8485·
 2001 02  5669.
 2001 03  489·
 2001 04  4789.
 2001 05  3892.
 2001 06  1688·
 2001 07  8671.
 2001 08  1973·
 2001 09  7574·
 2001 10  5997·
 2001 11  9688.


 2001 12  33104·
 2002 01 64107·
 2002 02 8484.
 2002 03 6498·
 2002 04 5279·
 2002 05 093·
 2002 06 1995.
 2002 07 48102.
 2002 08 6487·
 2002 09 2104·
 2002 10 1282·
 2002 11 29111.
 2002 12 82103.
 2003 01  14134·
 2003 02  39125·

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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