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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 7665·
 1976 07 24122·
 1976 08 52103·
 1976 09 3333·
 1976 10 6227.
 1976 11 3526·
 1976 12 5440.
 1977 01  4719.
 1977 02  2627·
 1977 03  5724·
 1977 04  6932·
 1977 05  7327.
 1977 06  2076·
 1977 07  72144.
 1977 08  10119·
 1977 09  5428·
 1977 10  1839·
 1977 11  8638.
 1977 12  1629.
 1978 01 5925.
 1978 02 2139·
 1978 03 3143.
 1978 04 4817.
 1978 05 8325.
 1978 06 5591·
 1978 07 64155.
 1978 08 95117.
 1978 09 4550.
 1978 10 6929.
 1978 11 6630.
 1978 12 7128·
 1979 01  8825.
 1979 02  4015.
 1979 03  4319.
 1979 04  1221·
 1979 05  8336.
 1979 06  6777.
 1979 07  28122.
 1979 08  82111.
 1979 09  2246·
 1979 10  7630.
 1979 11  7735·
 1979 12  6814.
 1980 01 2621·
 1980 02 1816.
 1980 03 7224·
 1980 04 8334·
 1980 05 3945·
 1980 06 6791·
 1980 07 19163·
 1980 08 66140.
 1980 09 2869.
 1980 10 2562·
 1980 11 5038.
 1980 12 8043·
 1981 01  9033·
 1981 02  1639.
 1981 03  2251·
 1981 04  1147.
 1981 05  4334·
 1981 06  90104.
 1981 07  16186.
 1981 08  73151·
 1981 09  3057·
 1981 10  2541·
 1981 11  4033·
 1981 12  444.
 1982 01 2229·
 1982 02 1830·
 1982 03 2336·
 1982 04 6744·
 1982 05 1255.
 1982 06 9773·
 1982 07 24172·
 1982 08 50144·
 1982 09 1923.
 1982 10 1275·
 1982 11 2472·
 1982 12 6570·
 1983 01  8895·
 1983 02  3763.
 1983 03  2970.
 1983 04  5148·
 1983 05  8754·
 1983 06  74147·
 1983 07  71199.
 1983 08  70148.
 1983 09  1240.
 1983 10  4751.
 1983 11  845·
 1983 12  1047·
 1984 01 8053.
 1984 02 747.
 1984 03 1945.
 1984 04 8457.
 1984 05 3660·
 1984 06 30115·
 1984 07 13186.
 1984 08 30138.
 1984 09 5054·
 1984 10 1546·
 1984 11 2047·
 1984 12 1150·
 1985 01  1532.
 1985 02  8941·
 1985 03  9848·
 1985 04  1540·
 1985 05  5157·
 1985 06  1109.
 1985 07  28171·
 1985 08  55174.
 1985 09  172.
 1985 10  2836.
 1985 11  1634.
 1985 12  6839.
 1986 01 3536.
 1986 02 6931.
 1986 03 9440·
 1986 04 1839.
 1986 05 4857.
 1986 06 4981.
 1986 07 20149·
 1986 08 92133·
 1986 09 5743·
 1986 10 2040·
 1986 11 7439·
 1986 12 342·
 1987 01  733.
 1987 02  5648·
 1987 03  6333·
 1987 04  8932.
 1987 05  6840.
 1987 06  58106.
 1987 07  19171.
 1987 08  14151·
 1987 09  3343·
 1987 10  5248·
 1987 11  9927.
 1987 12  6448·
 1988 01 2237.
 1988 02 8731.
 1988 03 8344·
 1988 04 5336.
 1988 05 7937·
 1988 06 39119.
 1988 07 80163.
 1988 08 19145.
 1988 09 7336.
 1988 10 949.
 1988 11 1926·
 1988 12 2448.
 1989 01  9836.
 1989 02  2227·
 1989 03  5940·
 1989 04  5738·
 1989 05  7326.
 1989 06  28122·
 1989 07  80124·
 1989 08  30115·
 1989 09  4252·
 1989 10  341·
 1989 11  9037·
 1989 12  8126.
 1990 01 7533·
 1990 02 4637.
 1990 03 2047.
 1990 04 7441·
 1990 05 6632.
 1990 06 85103·
 1990 07 26155.
 1990 08 9692·
 1990 09 3336.
 1990 10 6829·
 1990 11 9145.
 1990 12 5929·
 1991 01  2251.
 1991 02  7148.
 1991 03  2033.
 1991 04  246·
 1991 05  048·
 1991 06  9583.
 1991 07  46141·
 1991 08  8883.
 1991 09  6361·
 1991 10  6546·
 1991 11  2539·
 1991 12  553·
 1992 01 2944·
 1992 02 3238·
 1992 03 3937·
 1992 04 6548·
 1992 05 4236.
 1992 06 70105·
 1992 07 94146.
 1992 08 7145·
 1992 09 7270.
 1992 10 8161.
 1992 11 2346.
 1992 12 9348·
 1993 01  1335.
 1993 02  8947·
 1993 03  8141·
 1993 04  1034·
 1993 05  8434.
 1993 06  4581.
 1993 07  50174.
 1993 08  73123·
 1993 09  2946.
 1993 10  2457.
 1993 11  3843.
 1993 12  1937·
 1994 01 1749·
 1994 02 2745.
 1994 03 7536.
 1994 04 1131.
 1994 05 4234·
 1994 06 8078.
 1994 07 1893.
 1994 08 3787·
 1994 09 2439·
 1994 10 3122·
 1994 11 5045.
 1994 12 930.
 1995 01  640·
 1995 02  5858.
 1995 03  7520.
 1995 04  6532.
 1995 05  5938.
 1995 06  6091.
 1995 07  28114·
 1995 08  6965·
 1995 09  7529.
 1995 10  6335·
 1995 11  6227.
 1995 12  925.
 1996 01 7421.
 1996 02 1730.
 1996 03 6213.
 1996 04 9625·
 1996 05 020·
 1996 06 9872·
 1996 07 32111.
 1996 08 7064·
 1996 09 2325·
 1996 10 519·
 1996 11 620·
 1996 12 9224.
 1997 01  3614·
 1997 02  6524·
 1997 03  3829.
 1997 04  5119.
 1997 05  5924.
 1997 06  2764.
 1997 07  1283·
 1997 08  6062.
 1997 09  3548.
 1997 10  6743.
 1997 11  3337.
 1997 12  5739.
 1998 01 3432·
 1998 02 8633.
 1998 03 3450.
 1998 04 422·
 1998 05 5130·
 1998 06 930.
 1998 07 7177·
 1998 08 9032.
 1998 09 330·
 1998 10 8527·
 1998 11 2528·
 1998 12 2741·
 1999 01  3635.
 1999 02  9229·
 1999 03  428.
 1999 04  5318·
 1999 05  1832·
 1999 06  2839.
 1999 07  3880.
 1999 08  3131.
 1999 09  4443·
 1999 10  2022.
 1999 11  8515·
 1999 12  4923·
 2000 01 3329·
 2000 02 1828·
 2000 03 2622.
 2000 04 2021.
 2000 05 2847.
 2000 06 9760·
 2000 07 6857·
 2000 08 8234.
 2000 09 9935.
 2000 10 5756·
 2000 11 4313.
 2000 12 9831·
 2001 01  4124.
 2001 02  2530.
 2001 03  66·
 2001 04  5423.
 2001 05  7221·
 2001 06  4958.
 2001 07  4166·
 2001 08  6651·
 2001 09  3638·
 2001 10  734·
 2001 11  5249.


 2001 12  7045.
 2002 01 334.
 2002 02 9735·
 2002 03 7327·
 2002 04 2824.
 2002 05 6747·
 2002 06 4768·
 2002 07 5957.
 2002 08 307.
 2002 09 4634.
 2002 10 546.
 2002 11 9371·
 2002 12 8831·
 2003 01  8633·
 2003 02  4736.

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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