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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 8165.
 1976 07 43122.
 1976 08 11103.
 1976 09 5533.
 1976 10 7327.
 1976 11 6126·
 1976 12 1940·
 1977 01  7619·
 1977 02  4427.
 1977 03  8924·
 1977 04  4032.
 1977 05  827.
 1977 06  4476.
 1977 07  10144·
 1977 08  87119·
 1977 09  9528.
 1977 10  4839·
 1977 11  3138.
 1977 12  9929.
 1978 01 725·
 1978 02 5839.
 1978 03 8243.
 1978 04 3817.
 1978 05 3725·
 1978 06 9791.
 1978 07 21155·
 1978 08 91117.
 1978 09 550.
 1978 10 1829.
 1978 11 2930·
 1978 12 7328·
 1979 01  5425·
 1979 02  9515·
 1979 03  1219.
 1979 04  2021.
 1979 05  5536·
 1979 06  2977·
 1979 07  4122·
 1979 08  96111.
 1979 09  146·
 1979 10  4430.
 1979 11  5935·
 1979 12  8914.
 1980 01 1121.
 1980 02 9216·
 1980 03 6024.
 1980 04 1134.
 1980 05 3045·
 1980 06 4791.
 1980 07 14163·
 1980 08 0140·
 1980 09 2669.
 1980 10 1162.
 1980 11 5138.
 1980 12 1943·
 1981 01  9433·
 1981 02  839.
 1981 03  2951.
 1981 04  5747.
 1981 05  5234.
 1981 06  89104.
 1981 07  29186·
 1981 08  25151.
 1981 09  4657·
 1981 10  3041·
 1981 11  5933.
 1981 12  6344.
 1982 01 4429·
 1982 02 3030·
 1982 03 4936.
 1982 04 3244·
 1982 05 4055·
 1982 06 1573.
 1982 07 56172·
 1982 08 21144.
 1982 09 5423.
 1982 10 3675.
 1982 11 6272.
 1982 12 4270·
 1983 01  2995·
 1983 02  6763.
 1983 03  7370.
 1983 04  3448·
 1983 05  3554.
 1983 06  10147.
 1983 07  22199.
 1983 08  59148·
 1983 09  6540·
 1983 10  9051·
 1983 11  6445.
 1983 12  647.
 1984 01 4053.
 1984 02 5647.
 1984 03 8245·
 1984 04 8657.
 1984 05 260.
 1984 06 85115.
 1984 07 82186.
 1984 08 38138.
 1984 09 2254·
 1984 10 7746.
 1984 11 9647·
 1984 12 2650.
 1985 01  9432.
 1985 02  5741·
 1985 03  8048.
 1985 04  3640·
 1985 05  3657.
 1985 06  75109.
 1985 07  16171·
 1985 08  82174.
 1985 09  9272.
 1985 10  836·
 1985 11  1034·
 1985 12  139·
 1986 01 3336.
 1986 02 5531·
 1986 03 9540.
 1986 04 5739·
 1986 05 5157.
 1986 06 4281.
 1986 07 27149·
 1986 08 37133.
 1986 09 6743.
 1986 10 1940.
 1986 11 8739.
 1986 12 5542·
 1987 01  2333.
 1987 02  6148.
 1987 03  8233.
 1987 04  4732·
 1987 05  9040·
 1987 06  70106·
 1987 07  45171.
 1987 08  78151.
 1987 09  6243.
 1987 10  6948·
 1987 11  3027·
 1987 12  3548.
 1988 01 5737.
 1988 02 1131·
 1988 03 2144.
 1988 04 3036·
 1988 05 2037.
 1988 06 69119·
 1988 07 24163·
 1988 08 2145.
 1988 09 2036·
 1988 10 4649·
 1988 11 7026.
 1988 12 1448·
 1989 01  5236.
 1989 02  6527.
 1989 03  1640.
 1989 04  5338·
 1989 05  3326.
 1989 06  77122·
 1989 07  43124·
 1989 08  32115·
 1989 09  952.
 1989 10  5841.
 1989 11  5937·
 1989 12  9026·
 1990 01 4833·
 1990 02 837·
 1990 03 9547·
 1990 04 8841.
 1990 05 4532.
 1990 06 52103.
 1990 07 8155·
 1990 08 1692·
 1990 09 1836.
 1990 10 4229·
 1990 11 7945.
 1990 12 8629.
 1991 01  1351·
 1991 02  5148·
 1991 03  1433.
 1991 04  3646.
 1991 05  9848·
 1991 06  8283·
 1991 07  47141.
 1991 08  2883.
 1991 09  6661.
 1991 10  5846·
 1991 11  3239·
 1991 12  5153·
 1992 01 3944.
 1992 02 3138.
 1992 03 5237.
 1992 04 1748.
 1992 05 5836.
 1992 06 75105.
 1992 07 14146·
 1992 08 65145.
 1992 09 9570·
 1992 10 9261.
 1992 11 4846.
 1992 12 5748.
 1993 01  4235·
 1993 02  647·
 1993 03  1341·
 1993 04  8134.
 1993 05  1934.
 1993 06  6981·
 1993 07  88174.
 1993 08  51123·
 1993 09  7046.
 1993 10  5457.
 1993 11  8243.
 1993 12  337·
 1994 01 6449.
 1994 02 6445.
 1994 03 2536·
 1994 04 131·
 1994 05 9634.
 1994 06 2278·
 1994 07 7593·
 1994 08 3287·
 1994 09 8439·
 1994 10 8022.
 1994 11 1345·
 1994 12 1130.
 1995 01  7240·
 1995 02  1358.
 1995 03  4520.
 1995 04  7432·
 1995 05  3138·
 1995 06  2291·
 1995 07  3114.
 1995 08  8465.
 1995 09  5329.
 1995 10  3135·
 1995 11  4427·
 1995 12  2925.
 1996 01 5921·
 1996 02 9130.
 1996 03 5013.
 1996 04 2325.
 1996 05 9120·
 1996 06 7872.
 1996 07 27111·
 1996 08 364.
 1996 09 2025·
 1996 10 9119.
 1996 11 620.
 1996 12 3224.
 1997 01  3914·
 1997 02  5724·
 1997 03  4529.
 1997 04  9719.
 1997 05  6824·
 1997 06  2664·
 1997 07  2583·
 1997 08  1262·
 1997 09  5148.
 1997 10  7243·
 1997 11  5337·
 1997 12  1539·
 1998 01 5732·
 1998 02 9733.
 1998 03 6050.
 1998 04 6922.
 1998 05 7930.
 1998 06 2630.
 1998 07 377·
 1998 08 6132·
 1998 09 3830·
 1998 10 927.
 1998 11 6328.
 1998 12 441.
 1999 01  7735·
 1999 02  2229·
 1999 03  4828.
 1999 04  3618·
 1999 05  6632.
 1999 06  6539.
 1999 07  8980·
 1999 08  2131·
 1999 09  9843·
 1999 10  6322·
 1999 11  4215.
 1999 12  4523·
 2000 01 9229.
 2000 02 6728·
 2000 03 8922·
 2000 04 2221.
 2000 05 9447·
 2000 06 5260.
 2000 07 3857.
 2000 08 9034.
 2000 09 7235.
 2000 10 1956.
 2000 11 1813·
 2000 12 1231.
 2001 01  2024·
 2001 02  9230.
 2001 03  886·
 2001 04  7523.
 2001 05  5721.
 2001 06  2358.
 2001 07  2966·
 2001 08  9351·
 2001 09  2738·
 2001 10  8734·
 2001 11  4749.


 2001 12  345·
 2002 01 034.
 2002 02 8435.
 2002 03 7327·
 2002 04 6824·
 2002 05 7047·
 2002 06 3968·
 2002 07 6657.
 2002 08 767·
 2002 09 5634.
 2002 10 446·
 2002 11 671.
 2002 12 4031.
 2003 01  233·
 2003 02  5236·

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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