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 Series Title: Unemployment Rate: Nonagricultural Private Wage and Salary Workers, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 1976 06 637·2
 1976 07 57·0
 1976 08 586.5
 1976 09 356.3
 1976 10 766.3
 1976 11 247.1
 1976 12 217.4
 1977 01  408.5
 1977 02  379·0
 1977 03  228.0
 1977 04  666.6
 1977 05  266.2
 1977 06  956·0
 1977 07  815·8
 1977 08  65.6
 1977 09  365·1
 1977 10  275.3
 1977 11  85.5
 1977 12  805.5
 1978 01 386.8
 1978 02 327·1
 1978 03 356·6
 1978 04 495·4
 1978 05 294.8
 1978 06 374.7
 1978 07 184·7
 1978 08 14.5
 1978 09 254·5
 1978 10 914·5
 1978 11 404·7
 1978 12 515.4
 1979 01  736·3
 1979 02  706·4
 1979 03  55.9
 1979 04  355·1
 1979 05  404·5
 1979 06  754.7
 1979 07  474·9
 1979 08  164.9
 1979 09  214.7
 1979 10  304.9
 1979 11  225·2
 1979 12  835·5
 1980 01 357·2
 1980 02 867.2
 1980 03 117.1
 1980 04 487.2
 1980 05 267·6
 1980 06 197.9
 1980 07 228.0
 1980 08 487.5
 1980 09 637·2
 1980 10 297.0
 1980 11 857·4
 1980 12 487.3
 1981 01  418.9
 1981 02  419·0
 1981 03  578.3
 1981 04  357·2
 1981 05  797.2
 1981 06  57·1
 1981 07  216·6
 1981 08  216·6
 1981 09  206·7
 1981 10  987·2
 1981 11  828·1
 1981 12  459·2
 1982 01 3410.8
 1982 02 1910·9
 1982 03 7310·9
 1982 04 7010.3
 1982 05 1510·0
 1982 06 9410.3
 1982 07 4910.2
 1982 08 839·9
 1982 09 8310.2
 1982 10 7310·8
 1982 11 9311·6
 1982 12 9712·2
 1983 01  8013.3
 1983 02  3213·4
 1983 03  1212.8
 1983 04  5111.7
 1983 05  7711·0
 1983 06  7110·2
 1983 07  369.6
 1983 08  69·2
 1983 09  688.9
 1983 10  158.6
 1983 11  238·6
 1983 12  528.8
 1984 01 719·5
 1984 02 159·5
 1984 03 548.6
 1984 04 08·1
 1984 05 327.0
 1984 06 466.7
 1984 07 366.8
 1984 08 896·6
 1984 09 186.6
 1984 10 96·6
 1984 11 07·0
 1984 12 827·5
 1985 01  248.5
 1985 02  298·5
 1985 03  38.0
 1985 04  667·4
 1985 05  706.6
 1985 06  567.0
 1985 07  286·7
 1985 08  556·2
 1985 09  996.4
 1985 10  666.5
 1985 11  796·8
 1985 12  867·0
 1986 01 817·9
 1986 02 598.4
 1986 03 907·9
 1986 04 227.3
 1986 05 96·9
 1986 06 607·0
 1986 07 166.9
 1986 08 526·2
 1986 09 46.4
 1986 10 216.6
 1986 11 396.9
 1986 12 877·0
 1987 01  88·0
 1987 02  157·9
 1987 03  677.5
 1987 04  666·6
 1987 05  916·3
 1987 06  456·2
 1987 07  305.8
 1987 08  525·5
 1987 09  485.4
 1987 10  345·4
 1987 11  855·6
 1987 12  335.7
 1988 01 976·8
 1988 02 346.8
 1988 03 146·4
 1988 04 215·4
 1988 05 835·5
 1988 06 205.2
 1988 07 235·0
 1988 08 555.1
 1988 09 744·8
 1988 10 925.0
 1988 11 455.4
 1988 12 965.4
 1989 01  656·7
 1989 02  766·3
 1989 03  355·6
 1989 04  355.4
 1989 05  754.8
 1989 06  224.8
 1989 07  764·7
 1989 08  824·6
 1989 09  495·0
 1989 10  54.8
 1989 11  745·3
 1989 12  765.4
 1990 01 546.8
 1990 02 266.5
 1990 03 616.2
 1990 04 805.9
 1990 05 865.5
 1990 06 105.2
 1990 07 935·3
 1990 08 825·2
 1990 09 645·4
 1990 10 85·7
 1990 11 526·4
 1990 12 956.8
 1991 01  318.1
 1991 02  958.8
 1991 03  448.5
 1991 04  567.8
 1991 05  577.4
 1991 06  717.3
 1991 07  27·2
 1991 08  296·7
 1991 09  366·8
 1991 10  626.7
 1991 11  827·4
 1991 12  17·8
 1992 01 879·7
 1992 02 1910·0
 1992 03 659·4
 1992 04 858·3
 1992 05 548·3
 1992 06 158·2
 1992 07 597.6
 1992 08 207·5
 1992 09 77.4
 1992 10 537.5
 1992 11 947.5
 1992 12 677.7
 1993 01  399.0
 1993 02  579·1
 1993 03  288·8
 1993 04  157·8
 1993 05  707.5
 1993 06  787.3
 1993 07  426.9
 1993 08  776·7
 1993 09  436.6
 1993 10  916·5
 1993 11  426·4
 1993 12  916.6
 1994 01 298.4
 1994 02 968.2
 1994 03 617.6
 1994 04 206·8
 1994 05 206.2
 1994 06 206.0
 1994 07 566.2
 1994 08 505·7
 1994 09 375·4
 1994 10 115.5
 1994 11 65.6
 1994 12 975·4
 1995 01  246·8
 1995 02  476·5
 1995 03  206·2
 1995 04  965·9
 1995 05  485·9
 1995 06  265.4
 1995 07  295·6
 1995 08  125·4
 1995 09  65·2
 1995 10  755·0
 1995 11  905·5
 1995 12  315·6
 1996 01 156.7
 1996 02 436.6
 1996 03 846.7
 1996 04 686·0
 1996 05 205.6
 1996 06 75·3
 1996 07 175.3
 1996 08 594.6
 1996 09 904.8
 1996 10 674·6
 1996 11 235.0
 1996 12 684.9
 1997 01  206·3
 1997 02  486.0
 1997 03  565.9
 1997 04  835.2
 1997 05  274.7
 1997 06  04.7
 1997 07  994.6
 1997 08  164·4
 1997 09  584.3
 1997 10  984.2
 1997 11  594.2
 1997 12  64.6
 1998 01 805·5
 1998 02 445.3
 1998 03 675·2
 1998 04 154·3
 1998 05 874·2
 1998 06 634.4
 1998 07 794.4
 1998 08 314.2
 1998 09 04·3
 1998 10 54·0
 1998 11 784.1
 1998 12 674.3
 1999 01  615·0
 1999 02  454.9
 1999 03  694·4
 1999 04  614·1
 1999 05  414.0
 1999 06  834.1
 1999 07  864.0
 1999 08  763.8
 1999 09  333·9
 1999 10  463.8
 1999 11  843.8
 1999 12  994.0
 2000 01 574·8
 2000 02 844.7
 2000 03 444·5
 2000 04 443.8
 2000 05 563·7
 2000 06 713·7
 2000 07 743.7
 2000 08 493.6
 2000 09 03.5
 2000 10 93·5
 2000 11 63·6
 2000 12 764.0
 2001 01  835.2
 2001 02  225.3
 2001 03  955.1
 2001 04  134.6
 2001 05  244·3
 2001 06  614.7
 2001 07  244·7
 2001 08  744·8
 2001 09  674·6
 2001 10  25.3
 2001 11  985·8
 2001 12  956·1
 2002 01 827.4
 2002 02 457·0
 2002 03 516.9
 2002 04 416·3
 2002 05 615.8
 2002 06 156·2
 2002 07 385.8
 2002 08 985·6
 2002 09 265.6
 2002 10 635.6
 2002 11 416.2
 2002 12 806.6
 2003 01  197·8
 2003 02  647.5
 2003 03  677·1
 2003 04  256·6
 2003 05  106.4
 2003 06  186·8
 2003 07  476.4
 2003 08  956.0
 2003 09  936·0
 2003 10  525.9
 2003 11  386·2
 2003 12  796.0
 2004 01 887·1
 2004 02 146·8
 2004 03 216·9
 2004 04 895·9
 2004 05 375·5
 2004 06 815.5
 2004 07 45.2
 2004 08 635·2
 2004 09 115·1
 2004 10 535·1
 2004 11 185.2
 2004 12 645·6
 2005 01  46·3
 2005 02  556·5
 2005 03  196.0
 2005 04  815.1
 2005 05  344.8
 2005 06  394.8
 2005 07  904.6
 2005 08  254.4
 2005 09  474·6
 2005 10  784·4
 2005 11  364·7
 2005 12  344·9
 2006 01 105.3
 2006 02 745·6
 2006 03 905.2
 2006 04 734·7
 2006 05 184·7
 2006 06 524.5
 2006 07 84.5
 2006 08 284·3
 2006 09 914·0
 2006 10 624·0
 2006 11 714·3
 2006 12 124.6
 2007 01  725.6
 2007 02  805·6
 2007 03  875·0
 2007 04  644·6
 2007 05  314·5
 2007 06  64·5
 2007 07  874.5
 2007 08  464.2
 2007 09  614·4
 2007 10  664.3
 2007 11  284·5
 2007 12  465·2
 2008 01 826.1
 2008 02 106.0
 2008 03 915.9
 2008 04 775·2
 2008 05 395·4
 2008 06 135·6
 2008 07 825.9
 2008 08 775·9
 2008 09 996·3
 2008 10 756.6
 2008 11 357.3
 2008 12 98·5
 2009 01  5810.4
 2009 02  2311·1
 2009 03  411·3
 2009 04  6010.7
 2009 05  3410.8
 2009 06  610·8
 2009 07  7310.6
 2009 08  4410·4
 2009 09  7110.6
 2009 10  010·8
 2009 11  4710.9
 2009 12  9811.6
 2010 01 3912·9
 2010 02 612·8
 2010 03 5812·5
 2010 04 8611·2
 2010 05 3310·6
 2010 06 4810·5
 2010 07 6310·0
 2010 08 959·9
 2010 09 709.9
 2010 10 779.7
 2010 11 4310.2
 2010 12 3810·2
 2011 01  9510.8
 2011 02  6810.7
 2011 03  610·5
 2011 04  539·6
 2011 05  779·4
 2011 06  229.2
 2011 07  828·8
 2011 08  38·8
 2011 09  118·6
 2011 10  658·6
 2011 11  288.4
 2011 12  758.8
 2012 01 169·4
 2012 02 469·1


 2012 03 278·8
 2012 04 847.8
 2012 05 357·9
 2012 06 418.0
 2012 07 847·7
 2012 08 667·6
 2012 09 387.3
 2012 10 507·2
 2012 11 317·3
 2012 12 847.8
 2013 01  199.1
 2013 02  08.5
 2013 03  257.9
 2013 04  277.4
 2013 05  967.4
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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: Unemployment Rate: Nonagricultural Private Wage and Salary Workers, Men: NSA
   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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