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 Series Title: Number At work part-time, usually work full-timeEconomic reasons 30-34 hours 45-54 yrs. Male: NSA (Thousands)
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 2003 02  8991·
 2003 01  366.
 2002 12 3098.
 2002 11 458·
 2002 10 8382·
 2002 09 2678·
 2002 08 9766.
 2002 07 8765.
 2002 06 6973.
 2002 05 7353.
 2002 04 8963.
 2002 03 9396·
 2002 02 96103.
 2002 01 2597·
 2001 12  21111.
 2001 11  6762·
 2001 10  4177·
 2001 09  8846·
 2001 08  2976.
 2001 07  7861·
 2001 06  375.
 2001 05  9562·
 2001 04  7661.
 2001 03  2052.
 2001 02  874·
 2001 01  256·
 2000 12 5183.
 2000 11 1259.
 2000 10 659.
 2000 09 9168.
 2000 08 6662.
 2000 07 9967.
 2000 06 7378·
 2000 05 6843.
 2000 04 6049·
 2000 03 4947·
 2000 02 957·
 2000 01 6582·
 1999 12  9566·
 1999 11  5758·
 1999 10  3965.
 1999 09  3863·
 1999 08  5934.
 1999 07  4134.
 1999 06  1532·
 1999 05  7051·
 1999 04  6429·
 1999 03  4791·
 1999 02  1052·
 1999 01  66105·
 1998 12 5050·
 1998 11 4334.
 1998 10 2635.
 1998 09 6032·
 1998 08 7848·
 1998 07 2251·
 1998 06 8961.
 1998 05 670·
 1998 04 3753.
 1998 03 569.
 1998 02 4763·
 1998 01 8767·
 1997 12  3952.
 1997 11  3648·
 1997 10  7852·
 1997 09  946.
 1997 08  2345·
 1997 07  8341.
 1997 06  8071·
 1997 05  576·
 1997 04  5173.
 1997 03  4162·
 1997 02  8169.
 1997 01  3080.
 1996 12 1185·
 1996 11 2946·
 1996 10 2953.
 1996 09 6768.
 1996 08 1671·
 1996 07 9158·
 1996 06 044·
 1996 05 2221.
 1996 04 444.
 1996 03 9757.
 1996 02 9646·
 1996 01 2667.
 1995 12  3858·
 1995 11  3966.
 1995 10  4058.
 1995 09  3677.
 1995 08  663.
 1995 07  3840.
 1995 06  8450·
 1995 05  3572.
 1995 04  2060.
 1995 03  3860·
 1995 02  350·
 1995 01  2864.
 1994 12 1950.
 1994 11 751·
 1994 10 9854·
 1994 09 4756.
 1994 08 6536·
 1994 07 4057·
 1994 06 9334.
 1994 05 4933.
 1994 04 4748.
 1994 03 5756.
 1994 02 3933.
 1994 01 1666.
 1993 12  7683.
 1993 11  070.
 1993 10  1165·
 1993 09  5459·
 1993 08  9275.
 1993 07  4085·
 1993 06  1187.
 1993 05  9459.
 1993 04  5777·
 1993 03  70107.
 1993 02  6367·
 1993 01  9482·
 1992 12 5872.
 1992 11 1071.
 1992 10 17100·
 1992 09 3561.
 1992 08 972.
 1992 07 480.
 1992 06 5084·
 1992 05 2478.
 1992 04 4880.
 1992 03 2068.
 1992 02 6160.
 1992 01 9193.
 1991 12  3894·
 1991 11  5488·
 1991 10  7599.
 1991 09  95101·
 1991 08  6664.
 1991 07  2474·
 1991 06  45103.
 1991 05  1777.
 1991 04  4586.
 1991 03  7487·
 1991 02  43101·
 1991 01  6354·
 1990 12 1378.
 1990 11 7370·
 1990 10 7255·
 1990 09 6464·
 1990 08 3350·
 1990 07 1681·
 1990 06 5671.
 1990 05 7852.
 1990 04 9460·
 1990 03 2253.
 1990 02 4673·
 1990 01 8749·
 1989 12  753.
 1989 11  3470.
 1989 10  1753.
 1989 09  9680·
 1989 08  1160·
 1989 07  2332·
 1989 06  6918·
 1989 05  3855.
 1989 04  6850.
 1989 03  8250·
 1989 02  2976·
 1989 01  6860·
 1988 12 6882·
 1988 11 3044.
 1988 10 4657·
 1988 09 7041·
 1988 08 2159·
 1988 07 1131.
 1988 06 9666.
 1988 05 4951.
 1988 04 6760·
 1988 03 9572.
 1988 02 7846·
 1988 01 3679.
 1987 12  6863.
 1987 11  7666.
 1987 10  2053·
 1987 09  9030·
 1987 08  1249.
 1987 07  7373·
 1987 06  7039.
 1987 05  9160.
 1987 04  1259.
 1987 03  2954.
 1987 02  567.
 1987 01  4557·
 1986 12 687.
 1986 11 1552.
 1986 10 2448.
 1986 09 8660·
 1986 08 5749.
 1986 07 2442.
 1986 06 5354·
 1986 05 6865.
 1986 04 5358·
 1986 03 7661·
 1986 02 4365·
 1986 01 7561·
 1985 12  655·
 1985 11  1464.
 1985 10  6940·
 1985 09  1254.
 1985 08  5441.
 1985 07  746.
 1985 06  3176·
 1985 05  1162.
 1985 04  6170.
 1985 03  5184·
 1985 02  5463.
 1985 01  2858.
 1984 12 1460·
 1984 11 6350·
 1984 10 9067.
 1984 09 4764.
 1984 08 2677.
 1984 07 8959·
 1984 06 1352.
 1984 05 7267.
 1984 04 3534·
 1984 03 9746·
 1984 02 2469.
 1984 01 3652·
 1983 12  447·
 1983 11  8159·
 1983 10  4840.
 1983 09  9544.
 1983 08  2159·
 1983 07  6185·
 1983 06  3661.
 1983 05  3188·
 1983 04  9978.
 1983 03  8074.
 1983 02  6391.
 1983 01  5194·
 1982 12 75109·
 1982 11 989.
 1982 10 2986·
 1982 09 87112·
 1982 08 12103·
 1982 07 40104·
 1982 06 60110·
 1982 05 94124.
 1982 04 9998.
 1982 03 93102·
 1982 02 696.
 1982 01 54105.
 1981 12  4896.
 1981 11  1388·
 1981 10  4283·
 1981 09  7549·
 1981 08  9881.
 1981 07  6854·
 1981 06  7039.
 1981 05  8830.
 1981 04  1082·
 1981 03  5263.
 1981 02  1466·
 1981 01  4972.
 1980 12 7349·
 1980 11 8660.
 1980 10 2464·
 1980 09 4064.
 1980 08 069.
 1980 07 1264·
 1980 06 7774·
 1980 05 6868.
 1980 04 2950·
 1980 03 9953·
 1980 02 7241·
 1980 01 6556.
 1979 12  2243·
 1979 11  4348.
 1979 10  3535·
 1979 09  8639·
 1979 08  6755.
 1979 07  6348·
 1979 06  1755·
 1979 05  1457.
 1979 04  7839.
 1979 03  148.
 1979 02  9252.
 1979 01  5542.
 1978 12 9336.
 1978 11 2835.
 1978 10 6136.
 1978 09 4232·
 1978 08 7336.
 1978 07 3832·
 1978 06 5024·
 1978 05 3030·
 1978 04 834.
 1978 03 5051.
 1978 02 848·
 1978 01 135·
 1977 12  954·
 1977 11  758·
 1977 10  1249·
 1977 09  6248.
 1977 08  1543.
 1977 07  8043·
 1977 06  6257.
 1977 05  4550.
 1977 04  8960.
 1977 03  6167·
 1977 02  8279·
 1977 01  550·
 1976 12 1957.
 1976 11 7254.
 1976 10 2454·
 1976 09 2663.
 1976 08 1747·
 1976 07 5438·
 1976 06 6344·
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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 full-timeEconomic reasons 30-34 hours 45-54 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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