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 Series Title: Of Total Unemployed 20 years and over, Men, Percent who are New Entrants: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 704·6
 2012 03 434·4
 2012 02 344·7
 2012 01 833·1
 2011 12  553·8
 2011 11  154·4
 2011 10  323·8
 2011 09  54·9
 2011 08  134.6
 2011 07  915·1
 2011 06  374.2
 2011 05  323·6
 2011 04  933·5
 2011 03  543·0
 2011 02  623.1
 2011 01  72·8
 2010 12 722·9
 2010 11 102·9
 2010 10 452·9
 2010 09 12.4
 2010 08 503·2
 2010 07 903·9
 2010 06 493·7
 2010 05 72·6
 2010 04 522.4
 2010 03 521.8
 2010 02 621.9
 2010 01 452.3
 2009 12  282.2
 2009 11  772·6
 2009 10  962.7
 2009 09  582.5
 2009 08  552·6
 2009 07  712.0
 2009 06  902·3
 2009 05  172.2
 2009 04  321.8
 2009 03  671.5
 2009 02  61·6
 2009 01  131·7
 2008 12 842·0
 2008 11 201.9
 2008 10 322.7
 2008 09 683·6
 2008 08 633.4
 2008 07 133.0
 2008 06 823·3
 2008 05 263.3
 2008 04 432.7
 2008 03 512·0
 2008 02 921.8
 2008 01 541·9
 2007 12  252·0
 2007 11  682·3
 2007 10  273·9
 2007 09  483·3
 2007 08  344·3
 2007 07  193.6
 2007 06  743·3
 2007 05  272·8
 2007 04  213·7
 2007 03  863·1
 2007 02  452·6
 2007 01  342.7
 2006 12 612.1
 2006 11 762·3
 2006 10 783.0
 2006 09 393.5
 2006 08 542.9
 2006 07 202.7
 2006 06 382.5
 2006 05 361.6
 2006 04 262.0
 2006 03 751.7
 2006 02 112·8
 2006 01 453·2
 2005 12  282·4
 2005 11  232·9
 2005 10  104·0
 2005 09  82·9
 2005 08  343·3
 2005 07  702·9
 2005 06  733·9
 2005 05  962·7
 2005 04  453·4
 2005 03  482.4
 2005 02  632.0
 2005 01  32·6
 2004 12 862·0
 2004 11 132·9
 2004 10 683·1
 2004 09 483.2
 2004 08 93.8
 2004 07 483.2
 2004 06 13.2
 2004 05 743·1
 2004 04 872.0
 2004 03 581.8
 2004 02 01·9
 2004 01 511·9
 2003 12  221.9
 2003 11  762.3
 2003 10  282.4
 2003 09  742·2
 2003 08  391.7
 2003 07  582·7
 2003 06  722.2
 2003 05  601·8
 2003 04  882·0
 2003 03  852·6
 2003 02  451.5
 2003 01  561·8
 2002 12 451·4
 2002 11 651.5
 2002 10 861.9
 2002 09 282.3
 2002 08 112.9
 2002 07 291·9
 2002 06 572.3
 2002 05 732.0
 2002 04 91·4
 2002 03 341·0
 2002 02 461·0
 2002 01 81·1
 2001 12  921.2
 2001 11  610·8
 2001 10  661·7
 2001 09  782.4
 2001 08  342·0
 2001 07  172.2
 2001 06  552.2
 2001 05  532·1
 2001 04  361.8
 2001 03  331·5
 2001 02  761·6
 2001 01  252·8
 2000 12 232·4
 2000 11 672·0
 2000 10 172.4
 2000 09 162·0
 2000 08 453.1
 2000 07 991·9
 2000 06 902.3
 2000 05 673·5
 2000 04 782·9
 2000 03 371.7
 2000 02 331.6
 2000 01 502.2
 1999 12  221·8
 1999 11  132·4
 1999 10  103·4
 1999 09  571.9
 1999 08  31·8
 1999 07  821.6
 1999 06  81.6
 1999 05  81·7
 1999 04  711·3
 1999 03  261.3
 1999 02  401.9
 1999 01  472.0
 1998 12 21·6
 1998 11 522.2
 1998 10 443.6
 1998 09 442.2
 1998 08 953.4
 1998 07 933·7
 1998 06 832·8
 1998 05 922·1
 1998 04 771·8
 1998 03 32·1
 1998 02 442·1
 1998 01 102·0
 1997 12  971.4
 1997 11  661·7
 1997 10  421.4
 1997 09  431·8
 1997 08  312·2
 1997 07  872.1
 1997 06  132·8
 1997 05  602.2
 1997 04  802.4
 1997 03  981.6
 1997 02  201·4
 1997 01  551.9
 1996 12 682.0
 1996 11 561.2
 1996 10 521·5
 1996 09 470·8
 1996 08 461.7
 1996 07 432.6
 1996 06 212·2
 1996 05 801.4
 1996 04 911·7
 1996 03 651.2
 1996 02 651.2
 1996 01 242·0
 1995 12  11·5
 1995 11  541.3
 1995 10  471.6
 1995 09  722.5
 1995 08  22·4
 1995 07  662·2
 1995 06  552.1
 1995 05  441.7
 1995 04  451.9
 1995 03  841·4
 1995 02  21·3
 1995 01  841.5
 1994 12 51·5
 1994 11 131.3
 1994 10 262.6
 1994 09 601·9
 1994 08 832.1
 1994 07 852·5
 1994 06 891.9
 1994 05 682.6
 1994 04 31.7
 1994 03 581·6
 1994 02 801·1
 1994 01 261·3
 1993 12  172.8
 1993 11  122.4
 1993 10  112·6
 1993 09  782·7
 1993 08  03·2
 1993 07  552.7
 1993 06  203.6
 1993 05  943.2
 1993 04  512.4
 1993 03  172·1
 1993 02  702.2
 1993 01  672·5
 1992 12 982·6
 1992 11 572.3
 1992 10 502·2
 1992 09 182.7
 1992 08 882·1
 1992 07 543.7
 1992 06 712·7
 1992 05 892·5
 1992 04 02.1
 1992 03 161.8
 1992 02 722·2
 1992 01 501·8
 1991 12  312·6
 1991 11  752·2
 1991 10  162.6
 1991 09  953.1
 1991 08  92·9
 1991 07  873·0
 1991 06  903·7
 1991 05  442.3
 1991 04  842·0
 1991 03  331·7
 1991 02  82.2
 1991 01  402.0
 1990 12 301·7
 1990 11 222·1
 1990 10 82.8
 1990 09 532·7
 1990 08 482.5
 1990 07 833·0
 1990 06 513·0
 1990 05 772·9
 1990 04 642.4
 1990 03 742.6
 1990 02 272.9
 1990 01 311·9
 1989 12  282.9
 1989 11  762·7
 1989 10  483·8
 1989 09  583·5
 1989 08  153.1
 1989 07  963·2
 1989 06  524·8
 1989 05  293·7
 1989 04  262.7
 1989 03  662.4
 1989 02  13·3
 1989 01  373·0
 1988 12 862.7
 1988 11 423.6
 1988 10 853.0
 1988 09 23.8
 1988 08 463.1
 1988 07 63.2
 1988 06 144·2
 1988 05 673·9
 1988 04 803·4
 1988 03 653·5
 1988 02 292·7
 1988 01 22·6
 1987 12  902.7
 1987 11  502·4
 1987 10  912.9
 1987 09  13.0
 1987 08  13.2
 1987 07  183·9
 1987 06  884.5
 1987 05  834·5
 1987 04  632.3
 1987 03  502·1
 1987 02  333·3
 1987 01  923·7
 1986 12 513·4
 1986 11 533·8
 1986 10 643·2
 1986 09 983·4
 1986 08 664.4
 1986 07 593·5
 1986 06 453.7
 1986 05 934.0
 1986 04 343·3
 1986 03 253.2
 1986 02 622.7
 1986 01 992·6
 1985 12  42.7
 1985 11  313·2
 1985 10  293·1
 1985 09  583·1
 1985 08  523·3
 1985 07  864.1
 1985 06  833·8
 1985 05  404.5
 1985 04  784.1
 1985 03  192.8
 1985 02  882·9
 1985 01  402·7
 1984 12 92·8
 1984 11 892.9
 1984 10 323.1
 1984 09 754.4
 1984 08 934·7
 1984 07 764.7
 1984 06 265·5
 1984 05 904.2
 1984 04 83·9
 1984 03 873·0
 1984 02 102.7
 1984 01 563·1
 1983 12  523·1
 1983 11  553·3
 1983 10  463·6
 1983 09  643·0
 1983 08  522·9
 1983 07  343.0
 1983 06  223.4
 1983 05  362.9
 1983 04  571·9
 1983 03  81.7
 1983 02  511.7
 1983 01  142·0
 1982 12 441.9
 1982 11 832·1
 1982 10 712·6
 1982 09 682.6
 1982 08 122.8
 1982 07 903.2
 1982 06 442·7
 1982 05 922·1
 1982 04 871.8
 1982 03 871·9
 1982 02 592.5
 1982 01 62.0
 1981 12  202·6
 1981 11  543.1
 1981 10  283·1
 1981 09  532·9
 1981 08  852·9
 1981 07  983·3
 1981 06  893·5
 1981 05  32·8
 1981 04  842.6
 1981 03  522.6
 1981 02  62.1
 1981 01  492.6
 1980 12 402.0
 1980 11 712·5
 1980 10 662.7
 1980 09 123·2
 1980 08 63.4
 1980 07 372.9
 1980 06 823.4
 1980 05 342.5
 1980 04 572·4
 1980 03 582.5
 1980 02 912.1
 1980 01 852·3
 1979 12  913·7
 1979 11  642·8
 1979 10  582·6
 1979 09  603·2
 1979 08  363·4
 1979 07  124.3
 1979 06  694.0
 1979 05  773.1
 1979 04  422·2
 1979 03  843·0
 1979 02  382·9
 1979 01  812.7
 1978 12 833.3
 1978 11 863·8
 1978 10 23.7
 1978 09 403·9
 1978 08 614·2
 1978 07 514·7
 1978 06 244·4
 1978 05 494.3
 1978 04 03.8
 1978 03 343.1
 1978 02 932.6
 1978 01 273·3
 1977 12  513·9
 1977 11  184.1
 1977 10  203.4
 1977 09  184·1
 1977 08  903·9
 1977 07  94·4
 1977 06  455.5
 1977 05  923·9
 1977 04  173.9
 1977 03  392.7
 1977 02  302·9
 1977 01  422.4
 1976 12 563·2
 1976 11 643.3
 1976 10 623·8
 1976 09 873.5
 1976 08 602.7
 1976 07 652·5
 1976 06 553·1
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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: Of Total Unemployed 20 years and over, Men, Percent who are New Entrants: 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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