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 Series Title: Number At work part-time, usually work part-timeEconomic reasons 30-34 hours 16-19 yrs. Male: NSA (Thousands)
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 1976 06 8865.
 1976 07 55122.
 1976 08 94103.
 1976 09 6133.
 1976 10 4227.
 1976 11 2026·
 1976 12 8340·
 1977 01  4719.
 1977 02  1227.
 1977 03  3224.
 1977 04  2232.
 1977 05  8227·
 1977 06  4976.
 1977 07  75144.
 1977 08  26119.
 1977 09  1028.
 1977 10  2939.
 1977 11  5538.
 1977 12  3129.
 1978 01 9925.
 1978 02 5139.
 1978 03 343·
 1978 04 117.
 1978 05 4525·
 1978 06 4091.
 1978 07 76155·
 1978 08 23117·
 1978 09 6650·
 1978 10 4829·
 1978 11 5530.
 1978 12 1128·
 1979 01  625.
 1979 02  5015·
 1979 03  4819.
 1979 04  221·
 1979 05  3436·
 1979 06  4677·
 1979 07  86122·
 1979 08  59111.
 1979 09  4646·
 1979 10  6130.
 1979 11  2635·
 1979 12  7014.
 1980 01 5921.
 1980 02 4616·
 1980 03 4824.
 1980 04 4834·
 1980 05 1845.
 1980 06 7691·
 1980 07 61163·
 1980 08 30140.
 1980 09 9269·
 1980 10 5262·
 1980 11 9538·
 1980 12 8143.
 1981 01  7533·
 1981 02  9939·
 1981 03  751·
 1981 04  8747·
 1981 05  8734·
 1981 06  68104.
 1981 07  79186.
 1981 08  62151.
 1981 09  7157·
 1981 10  3341.
 1981 11  1833.
 1981 12  4344.
 1982 01 9729.
 1982 02 9530·
 1982 03 5536·
 1982 04 9344·
 1982 05 5855.
 1982 06 8173·
 1982 07 46172.
 1982 08 0144.
 1982 09 7523.
 1982 10 3975·
 1982 11 7472.
 1982 12 7870·
 1983 01  9095.
 1983 02  4563·
 1983 03  4470·
 1983 04  6348.
 1983 05  7454.
 1983 06  0147·
 1983 07  89199·
 1983 08  19148·
 1983 09  2040·
 1983 10  2951.
 1983 11  6645.
 1983 12  3447.
 1984 01 4853.
 1984 02 8347.
 1984 03 5645.
 1984 04 2157·
 1984 05 160.
 1984 06 37115·
 1984 07 65186·
 1984 08 17138.
 1984 09 4954.
 1984 10 9146.
 1984 11 2547·
 1984 12 8550·
 1985 01  8632.
 1985 02  7141.
 1985 03  9348.
 1985 04  1440.
 1985 05  3057.
 1985 06  27109.
 1985 07  51171·
 1985 08  16174.
 1985 09  2772·
 1985 10  3436·
 1985 11  434·
 1985 12  2939.
 1986 01 4636·
 1986 02 9331·
 1986 03 8640·
 1986 04 1639·
 1986 05 8057.
 1986 06 3081.
 1986 07 52149·
 1986 08 65133·
 1986 09 4843·
 1986 10 9440·
 1986 11 8439·
 1986 12 8842.
 1987 01  9533.
 1987 02  6148.
 1987 03  8833.
 1987 04  2432.
 1987 05  9040·
 1987 06  32106.
 1987 07  97171·
 1987 08  36151.
 1987 09  2743.
 1987 10  3248·
 1987 11  6727·
 1987 12  1148·
 1988 01 2537.
 1988 02 1031·
 1988 03 8044.
 1988 04 6236.
 1988 05 2937.
 1988 06 44119·
 1988 07 42163·
 1988 08 28145·
 1988 09 736.
 1988 10 3249.
 1988 11 8426.
 1988 12 7048.
 1989 01  5336.
 1989 02  127·
 1989 03  6440.
 1989 04  7838·
 1989 05  8826.
 1989 06  1122.
 1989 07  64124·
 1989 08  64115·
 1989 09  5452·
 1989 10  741.
 1989 11  8937.
 1989 12  6526·
 1990 01 2133.
 1990 02 1937.
 1990 03 7247·
 1990 04 4541.
 1990 05 8332·
 1990 06 63103.
 1990 07 68155·
 1990 08 9192·
 1990 09 6036.
 1990 10 9029·
 1990 11 6145·
 1990 12 1729.
 1991 01  9551.
 1991 02  7448·
 1991 03  5633·
 1991 04  6046·
 1991 05  5748.
 1991 06  1783.
 1991 07  84141·
 1991 08  8383.
 1991 09  4261·
 1991 10  4346·
 1991 11  439.
 1991 12  7553·
 1992 01 6744·
 1992 02 338·
 1992 03 9637.
 1992 04 4748·
 1992 05 7736·
 1992 06 72105·
 1992 07 67146.
 1992 08 39145.
 1992 09 4170·
 1992 10 5161.
 1992 11 4846.
 1992 12 1248.
 1993 01  5435·
 1993 02  6647·
 1993 03  9641·
 1993 04  5434·
 1993 05  3434.
 1993 06  6581.
 1993 07  94174·
 1993 08  80123.
 1993 09  2546.
 1993 10  2657.
 1993 11  4743·
 1993 12  2537·
 1994 01 9749·
 1994 02 4745·
 1994 03 8736·
 1994 04 5531·
 1994 05 4434·
 1994 06 5678·
 1994 07 7193·
 1994 08 5587.
 1994 09 8539.
 1994 10 122.
 1994 11 8045.
 1994 12 3930.
 1995 01  6540.
 1995 02  5958·
 1995 03  2120·
 1995 04  4632.
 1995 05  5138.
 1995 06  3091·
 1995 07  26114.
 1995 08  3765.
 1995 09  3929·
 1995 10  3935·
 1995 11  5127·
 1995 12  125·
 1996 01 4721.
 1996 02 3630·
 1996 03 7913·
 1996 04 5125·
 1996 05 2020·
 1996 06 9872·
 1996 07 15111.
 1996 08 2464·
 1996 09 2725·
 1996 10 2319·
 1996 11 9120.
 1996 12 8424.
 1997 01  6214·
 1997 02  3924·
 1997 03  6429·
 1997 04  1819.
 1997 05  4324·
 1997 06  9564·
 1997 07  1683·
 1997 08  3962·
 1997 09  1748·
 1997 10  6643.
 1997 11  5337.
 1997 12  8639.
 1998 01 5032·
 1998 02 5433.
 1998 03 650·
 1998 04 2022·
 1998 05 3830.
 1998 06 8230·
 1998 07 3377.
 1998 08 3132·
 1998 09 030·
 1998 10 327·
 1998 11 1628·
 1998 12 3041·
 1999 01  7935.
 1999 02  9029.
 1999 03  6028·
 1999 04  5618.
 1999 05  4632.
 1999 06  4539.
 1999 07  9780·
 1999 08  7131·
 1999 09  9343·
 1999 10  9322.
 1999 11  8415·
 1999 12  6423.
 2000 01 4129·
 2000 02 8428·
 2000 03 422·
 2000 04 4821·
 2000 05 3347·
 2000 06 9460·
 2000 07 6157.
 2000 08 5934.
 2000 09 3935.
 2000 10 2356·
 2000 11 8813.
 2000 12 6231·
 2001 01  5224·
 2001 02  9730·
 2001 03  426.
 2001 04  4423.
 2001 05  9221.
 2001 06  6558.
 2001 07  466.
 2001 08  1751·
 2001 09  338·
 2001 10  434·
 2001 11  8249·


 2001 12  2145·
 2002 01 5434.
 2002 02 1335.
 2002 03 527·
 2002 04 1724·
 2002 05 3947.
 2002 06 1868·
 2002 07 3257·
 2002 08 947.
 2002 09 7834.
 2002 10 7046.
 2002 11 4371.
 2002 12 6431.
 2003 01  1433.
 2003 02  4336·

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 16-19 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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