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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 35-44 years, Men: NSA
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 2012 04 572·
 2012 03 505.
 2012 02 29
 2012 01 410·
 2011 12  69.
 2011 11  720.
 2011 10  380·
 2011 09  720.
 2011 08  210.
 2011 07  910·
 2011 06  473·
 2011 05  383·
 2011 04  533.
 2011 03  9112.
 2011 02  708·
 2011 01  486.
 2010 12 776·
 2010 11 784.
 2010 10 454·
 2010 09 698.
 2010 08 931.
 2010 07 831.
 2010 06 347.
 2010 05 973·
 2010 04 276·
 2010 03 636.
 2010 02 26
 2010 01 50
 2009 12  305.
 2009 11  995.
 2009 10  335·
 2009 09  723.
 2009 08  762·
 2009 07  990·
 2009 06  930·
 2008 10 331·
 2008 09 661·
 2008 08 941.
 2008 07 700·
 2008 03 265.
 2008 02 268.
 2008 01 415.
 2007 12  515.
 2007 09  716.
 2007 07  61.
 2007 06  21
 2007 05  482·
 2007 04  124.
 2007 03  816·
 2007 02  409·
 2007 01  05·
 2006 12 188·
 2006 11 516.
 2006 10 316·
 2006 09 702.
 2006 08 846·
 2006 07 436.
 2006 06 51
 2006 05 466·
 2006 04 27
 2006 03 63.
 2006 02 802.
 2006 01 405.
 2005 12  942.
 2005 11  15
 2005 10  258.
 2005 09  919.
 2005 08  51
 2005 07  728.
 2005 06  194·
 2005 04  610.
 2005 03  951·
 2005 02  21·
 2005 01  172.
 2004 11 375·
 2004 10 442.
 2004 09 543.
 2004 08 21·
 2004 07 342.
 2004 06 4114·
 2004 05 56·
 2004 04 804·
 2004 03 893.
 2004 02 57
 2004 01 552.
 2003 12  82
 2003 11  659·
 2003 10  859.
 2003 09  29
 2003 08  664.
 2003 07  502.
 2003 05  455.
 2003 04  772.
 2003 03  123·
 2003 01  562.
 2002 12 804·
 2002 11 755.
 2002 10 286.
 2002 09 214.
 2002 08 605.
 2002 05 242.
 2002 04 462·
 2002 03 95·
 2002 02 782·
 2002 01 482·
 2001 12  213.
 2001 11  72·
 2001 10  550·
 2001 09  992.
 2001 08  352.
 2001 07  292.
 2001 06  345.
 2001 05  513·
 2001 04  96
 2001 03  119.
 2001 02  8510.
 2001 01  47.
 2000 12 35
 2000 11 189.
 2000 10 12·
 2000 09 852.
 2000 08 82·
 2000 07 361.
 2000 06 19.
 2000 05 448.
 2000 04 979·
 2000 03 794·
 2000 01 303.
 1999 12  562·
 1999 11  82.
 1999 10  853·
 1999 09  572.
 1999 03  214.
 1999 02  744·
 1999 01  1613.
 1998 12 7615·
 1998 11 6512.
 1998 10 5110.
 1998 09 61
 1998 08 7
 1998 07 394·
 1998 06 214.
 1998 05 323.
 1998 04 925.
 1998 03 174·
 1998 02 904·
 1998 01 67
 1997 12  28·
 1997 11  04·
 1997 10  894.
 1997 09  292·
 1997 08  310·
 1997 07  133·
 1997 06  761·
 1997 05  63.
 1997 04  975·
 1997 03  76.
 1997 02  333.
 1997 01  11
 1996 12 450·
 1996 11 570.
 1996 10 652·
 1996 09 822.
 1996 08 445.
 1996 07 64
 1996 06 58.
 1996 05 8110·
 1996 04 89
 1996 03 533·
 1996 02 91.
 1995 12  97
 1995 11  975.
 1995 10  747.
 1995 09  583·
 1995 08  420·
 1995 07  143.
 1995 06  34·
 1995 05  604·
 1995 04  554.
 1995 03  94.
 1995 02  410.
 1995 01  461.
 1994 12 982.
 1994 11 754·
 1994 10 113·
 1994 09 722·
 1994 08 595·
 1994 07 325·
 1994 06 665.
 1994 05 2110.
 1994 04 5111·
 1994 03 253·
 1994 02 809·
 1994 01 995.
 1993 12  12
 1993 11  216·
 1993 10  536.
 1993 09  376.
 1993 08  45.
 1993 07  153·
 1993 06  122.
 1993 05  936.
 1993 04  1712·
 1993 03  276.
 1993 02  65·
 1993 01  471·
 1992 12 62
 1992 11 17·
 1992 10 11
 1992 09 7
 1992 08 777.
 1992 07 58·
 1992 06 274.
 1992 05 42.
 1992 03 256·
 1992 02 343.
 1992 01 804.
 1991 12  954·
 1991 11  955.
 1991 10  75.
 1991 09  202.
 1991 08  61
 1991 07  993.
 1991 06  684·
 1991 05  22
 1991 03  102.
 1991 02  751.
 1991 01  872.
 1990 12 885·
 1990 11 723.
 1990 10 863·
 1990 08 571.
 1990 07 415·
 1990 06 410·
 1990 05 208.
 1990 04 9713.
 1990 03 339.
 1990 02 883.
 1989 12  89
 1989 11  521.
 1989 10  392·
 1989 09  313·
 1989 08  323.
 1989 07  912·
 1989 06  602.
 1989 05  654.
 1989 04  114.
 1989 03  86.
 1989 02  205.
 1989 01  45
 1988 12 156.
 1988 11 223·
 1988 10 703·
 1988 09 544·
 1988 08 561.
 1988 07 772.
 1988 06 861.
 1988 05 972·
 1988 04 729·
 1988 03 424.
 1988 02 682.
 1988 01 82·
 1987 12  264.
 1987 11  121·
 1987 09  411·
 1987 08  422.
 1987 07  66.
 1987 06  62.
 1987 05  564·
 1987 04  822.
 1987 03  242·
 1987 02  681·
 1986 12 881.
 1986 11 331.
 1986 06 201.
 1986 05 663.
 1986 04 383.
 1986 03 27
 1986 02 551·
 1986 01 961.
 1985 12  302.
 1985 09  222·
 1985 08  174.
 1985 07  753.
 1985 06  161.
 1985 05  984.
 1985 04  204.
 1985 03  494·
 1985 02  702.
 1985 01  625·
 1984 10 12.
 1984 07 87
 1984 06 941.
 1984 05 463·
 1984 04 241·
 1984 03 821.
 1984 01 122.
 1983 12  74.
 1983 08  752.
 1983 06  543·
 1983 05  752.
 1983 03  272·
 1983 02  683·
 1982 12 481·
 1982 11 583·
 1982 10 111·
 1982 08 413·
 1982 07 312·
 1982 06 614.
 1982 05 912.
 1982 04 573.
 1982 03 98
 1982 02 11
 1981 12  25
 1981 09  3
 1981 08  694.
 1981 07  575.
 1981 06  948.
 1981 05  939.
 1981 04  874.
 1981 03  75
 1981 02  44.
 1981 01  644.
 1980 12 211.
 1980 11 651.
 1980 10 872·
 1980 09 804·
 1980 08 674·
 1980 07 536.
 1980 06 05·
 1980 05 272·
 1980 04 423.
 1980 03 893·
 1980 01 241·
 1979 12  201.
 1979 11  921·
 1979 10  481.
 1979 09  661.
 1979 08  963.
 1979 07  851.
 1979 06  31
 1979 05  584·
 1979 03  173.
 1979 01  151.
 1978 10 630·
 1978 09 560.
 1978 08 720.
 1978 07 11.
 1978 06 943·
 1978 05 420.
 1978 04 742.
 1978 02 881.
 1978 01 11.
 1977 10  220·
 1977 09  601·
 1977 08  45
 1977 07  830.
 1977 06  294.
 1977 05  941·
 1977 04  66
 1977 03  651.
 1977 02  192·
 1977 01  633.
 1976 12 701·
 1976 10 990·
 1976 09 731.
 1976 08 804.
 1976 07 10.
 1976 06 59
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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

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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 35-44 years, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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