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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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Go to end of data set
 1976 06 340.
 1976 07 6430.
 1976 08 5431.
 1976 09 5233·
 1976 10 5950.
 1976 11 7852.
 1976 12 1738.
 1977 01  1040.
 1977 02  7527·
 1977 03  8541.
 1977 04  7435.
 1977 05  6117.
 1977 06  234·
 1977 07  6644.
 1977 08  3947.
 1977 09  4843.
 1977 10  1445.
 1977 11  2743.
 1977 12  4916.
 1978 01 4130·
 1978 02 1326·
 1978 03 039.
 1978 04 6851.
 1978 05 3444.
 1978 06 2339·
 1978 07 4244·
 1978 08 8236·
 1978 09 4620.
 1978 10 9541.
 1978 11 3528·
 1978 12 621·
 1979 01  2026.
 1979 02  514·
 1979 03  8441.
 1979 04  7741.
 1979 05  2745·
 1979 06  5337.
 1979 07  2236.
 1979 08  5835·
 1979 09  6119.
 1979 10  6434·
 1979 11  640.
 1979 12  3631.
 1980 01 4029·
 1980 02 8833·
 1980 03 1640·
 1980 04 2658·
 1980 05 955·
 1980 06 256·
 1980 07 6152.
 1980 08 6348·
 1980 09 3634.
 1980 10 456·
 1980 11 7040·
 1980 12 1351.
 1981 01  1752·
 1981 02  2246.
 1981 03  170·
 1981 04  6160·
 1981 05  6960.
 1981 06  563.
 1981 07  3670.
 1981 08  2268.
 1981 09  3835·
 1981 10  2858·
 1981 11  8152·
 1981 12  3358·
 1982 01 9253.
 1982 02 9270.
 1982 03 6884.
 1982 04 5777.
 1982 05 26100.
 1982 06 23111.
 1982 07 53109·
 1982 08 8275·
 1982 09 5881·
 1982 10 7074.
 1982 11 19103·
 1982 12 21115·
 1983 01  34102.
 1983 02  1088·
 1983 03  7195·
 1983 04  1187.
 1983 05  21130·
 1983 06  42104·
 1983 07  42117·
 1983 08  1687·
 1983 09  14112.
 1983 10  92103·
 1983 11  87107.
 1983 12  23113·
 1984 01 32103·
 1984 02 1084.
 1984 03 90124.
 1984 04 4694·
 1984 05 2087.
 1984 06 72107.
 1984 07 5592·
 1984 08 22109.
 1984 09 46109·
 1984 10 7890·
 1984 11 1698·
 1984 12 14149.
 1985 01  593·
 1985 02  5390.
 1985 03  28103.
 1985 04  1068.
 1985 05  16125·
 1985 06  4897·
 1985 07  7384·
 1985 08  24115.
 1985 09  23108.
 1985 10  39115·
 1985 11  59103.
 1985 12  92105.
 1986 01 95101.
 1986 02 25114.
 1986 03 15103.
 1986 04 77127.
 1986 05 26111.
 1986 06 3298.
 1986 07 096.
 1986 08 6899·
 1986 09 35121.
 1986 10 11146·
 1986 11 9590.
 1986 12 78122.
 1987 01  67120.
 1987 02  36113·
 1987 03  6140·
 1987 04  4498·
 1987 05  90124·
 1987 06  9106.
 1987 07  65127.
 1987 08  30130.
 1987 09  99102·
 1987 10  54102·
 1987 11  29115·
 1987 12  2298.
 1988 01 14123·
 1988 02 2298·
 1988 03 80125.
 1988 04 35105·
 1988 05 7765.
 1988 06 88111·
 1988 07 23102·
 1988 08 573.
 1988 09 5891.
 1988 10 5494.
 1988 11 91106·
 1988 12 9783·
 1989 01  5281·
 1989 02  43117.
 1989 03  40106·
 1989 04  9790·
 1989 05  77119·
 1989 06  783·
 1989 07  52114.
 1989 08  1999·
 1989 09  7893.
 1989 10  21100.
 1989 11  34118·
 1989 12  065·
 1990 01 2398.
 1990 02 8592.
 1990 03 17101·
 1990 04 3106.
 1990 05 886·
 1990 06 2594.
 1990 07 5899.
 1990 08 17102.
 1990 09 5093·
 1990 10 91110.
 1990 11 38103·
 1990 12 54124·
 1991 01  95104·
 1991 02  59136·
 1991 03  65144.
 1991 04  52110·
 1991 05  11113·
 1991 06  28119.
 1991 07  69115·
 1991 08  75132·
 1991 09  92136·
 1991 10  25138·
 1991 11  7158.
 1991 12  8147·
 1992 01 58143.
 1992 02 99122.
 1992 03 62158·
 1992 04 67151.
 1992 05 5394.
 1992 06 27157·
 1992 07 39130·
 1992 08 88148.
 1992 09 46180·
 1992 10 8147·
 1992 11 71151·
 1992 12 35122·
 1993 01  31173·
 1993 02  67149.
 1993 03  13138.
 1993 04  95173·
 1993 05  27136·
 1993 06  56143·
 1993 07  48132.
 1993 08  82137.
 1993 09  78168.
 1993 10  50172.
 1993 11  83132.
 1993 12  33141.
 1994 01 53181·
 1994 02 48119.
 1994 03 48147.
 1994 04 11101.
 1994 05 48154.
 1994 06 77130·
 1994 07 198·
 1994 08 3123.
 1994 09 79103·
 1994 10 87111·
 1994 11 2398·
 1994 12 24121·
 1995 01  9381·
 1995 02  53117·
 1995 03  21148.
 1995 04  10135·
 1995 05  58120.
 1995 06  76127·
 1995 07  2693·
 1995 08  25131·
 1995 09  68108.
 1995 10  80118·
 1995 11  9675.
 1995 12  57102·
 1996 01 4299·
 1996 02 1798·
 1996 03 11126·
 1996 04 18141.
 1996 05 2593.
 1996 06 62108.
 1996 07 78134·
 1996 08 46118·
 1996 09 8562.
 1996 10 14123·
 1996 11 3080·
 1996 12 598.
 1997 01  1788·
 1997 02  199·
 1997 03  22120.
 1997 04  8192.
 1997 05  40110.
 1997 06  7190·
 1997 07  3682.
 1997 08  8970.
 1997 09  9891.
 1997 10  0109.
 1997 11  8086.
 1997 12  6598.
 1998 01 6090·
 1998 02 9094·
 1998 03 84119.
 1998 04 74100.
 1998 05 2075.
 1998 06 6456·
 1998 07 586·
 1998 08 283·
 1998 09 9793.
 1998 10 7464.
 1998 11 2556·
 1998 12 6272.
 1999 01  3789.
 1999 02  9495·
 1999 03  5175·
 1999 04  9390·
 1999 05  688.
 1999 06  2656·
 1999 07  1364·
 1999 08  5753·
 1999 09  157.
 1999 10  9574·
 1999 11  7078·
 1999 12  4389·
 2000 01 4080.
 2000 02 5058·
 2000 03 289.
 2000 04 6263·
 2000 05 6665.
 2000 06 6875·
 2000 07 1676.
 2000 08 5445.
 2000 09 5147.
 2000 10 4940.
 2000 11 4374.
 2000 12 8065.
 2001 01  8685·
 2001 02  1869.
 2001 03  4189·
 2001 04  2989·
 2001 05  9292·
 2001 06  2688·
 2001 07  9171·
 2001 08  1473·
 2001 09  1374.
 2001 10  4797.
 2001 11  088·


 2001 12  73104.
 2002 01 17107·
 2002 02 8384·
 2002 03 9998.
 2002 04 6879·
 2002 05 9993.
 2002 06 5995.
 2002 07 44102·
 2002 08 8787.
 2002 09 79104·
 2002 10 2582·
 2002 11 19111.
 2002 12 43103.
 2003 01  0134.
 2003 02  57125.

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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