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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 25-34 years, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 993.
 2012 03 4910.
 2012 02 956·
 2012 01 965·
 2011 12  341·
 2011 11  954·
 2011 10  650·
 2011 09  634·
 2011 08  860·
 2011 07  890.
 2011 06  860·
 2011 05  790.
 2011 04  40.
 2011 03  137.
 2011 02  713.
 2011 01  884.
 2010 12 6510·
 2010 11 744.
 2010 10 584.
 2010 09 598·
 2010 08 680.
 2010 07 37.
 2010 06 912.
 2010 05 852·
 2010 04 392.
 2010 03 572.
 2010 02 122·
 2010 01 887·
 2009 12  285.
 2009 11  181·
 2009 10  811·
 2009 09  91.
 2009 08  111.
 2009 07  923·
 2009 06  530·
 2008 11 19
 2008 10 887·
 2008 09 117.
 2008 08 914.
 2008 07 114·
 2008 06 856·
 2008 05 326.
 2008 04 846·
 2008 03 67.
 2008 02 513.
 2008 01 3611·
 2007 12  4310·
 2007 11  4615·
 2007 10  62
 2007 09  301·
 2007 08  71.
 2007 07  11·
 2007 04  202.
 2007 03  452.
 2007 02  394·
 2006 10 663.
 2006 09 481.
 2006 08 391·
 2006 07 261.
 2006 06 593.
 2006 05 983.
 2006 04 922.
 2006 03 823·
 2006 02 243.
 2006 01 441·
 2005 12  124.
 2005 11  441.
 2005 09  31
 2005 08  886·
 2005 07  305·
 2005 06  764.
 2005 05  74
 2005 04  542.
 2005 01  20.
 2004 12 640.
 2004 09 726.
 2004 08 939·
 2004 07 117·
 2004 06 23
 2004 05 691·
 2004 03 813·
 2004 01 636.
 2003 10  903.
 2003 09  3414·
 2003 08  1715·
 2003 07  9015.
 2003 06  2713·
 2003 05  6110.
 2003 04  283.
 2003 03  473·
 2003 02  231.
 2002 12 703.
 2002 11 633.
 2002 10 187·
 2002 09 919·
 2002 08 47.
 2002 07 987·
 2002 06 97.
 2002 05 68
 2002 04 336.
 2002 03 334.
 2002 02 502·
 2002 01 185·
 2001 12  516.
 2001 11  944.
 2001 10  993.
 2001 06  281.
 2001 05  774.
 2001 04  314.
 2001 03  381.
 2001 02  111.
 2001 01  561·
 2000 10 202·
 2000 09 732.
 2000 08 511·
 2000 06 553.
 2000 05 613.
 2000 04 36
 2000 03 744.
 2000 02 703·
 2000 01 783·
 1999 12  83
 1999 11  44.
 1999 08  202.
 1999 07  242.
 1999 06  96
 1999 05  8
 1999 03  48
 1999 02  72
 1999 01  821.
 1998 11 261.
 1998 10 251.
 1998 09 244.
 1998 08 724.
 1998 07 192·
 1998 06 435.
 1998 05 51.
 1998 04 244·
 1998 03 756.
 1998 02 226.
 1998 01 657·
 1997 12  174.
 1997 11  81.
 1997 10  72·
 1997 09  803·
 1997 08  602·
 1997 07  543·
 1997 06  665.
 1997 05  505.
 1997 04  845·
 1997 03  783.
 1997 02  943.
 1997 01  010·
 1996 12 468·
 1996 11 674·
 1996 10 104.
 1996 09 804.
 1996 08 266.
 1996 07 346·
 1996 06 576·
 1996 05 684.
 1996 01 331·
 1995 12  161·
 1995 11  52.
 1995 10  613.
 1995 09  972.
 1995 07  782.
 1995 06  493.
 1995 05  873.
 1995 04  753.
 1995 03  53.
 1995 02  71.
 1995 01  950.
 1994 12 482·
 1994 11 122·
 1994 10 232.
 1994 09 600.
 1994 08 24
 1994 07 374.
 1994 06 675.
 1994 05 84
 1994 04 355·
 1994 03 41
 1994 02 329.
 1994 01 925.
 1993 12  356.
 1993 11  144.
 1993 10  399.
 1993 09  336·
 1993 06  81.
 1993 05  682·
 1993 04  306.
 1993 03  835.
 1993 02  605.
 1993 01  405.
 1992 12 7611.
 1992 11 4412·
 1992 10 235.
 1992 09 954.
 1992 07 692.
 1992 06 3910·
 1992 05 53
 1992 04 195·
 1992 03 3111.
 1992 02 2010·
 1992 01 316·
 1991 12  256.
 1991 11  39·
 1991 10  6210.
 1991 09  667.
 1991 08  524.
 1991 07  5712·
 1991 06  656·
 1991 05  875.
 1991 04  627.
 1991 03  854.
 1991 02  544·
 1991 01  521.
 1990 12 448.
 1990 11 713.
 1990 10 8110.
 1990 09 42
 1990 08 108.
 1990 07 6810.
 1990 06 208·
 1990 05 6511.
 1990 04 979.
 1990 03 358.
 1990 02 7214·
 1990 01 51
 1989 12  705·
 1989 11  410·
 1989 10  6210.
 1989 09  588.
 1989 08  157·
 1989 07  945.
 1989 06  416.
 1989 05  665.
 1989 04  462·
 1989 03  484.
 1989 02  842.
 1989 01  8410·
 1988 12 14.
 1988 11 3610·
 1988 10 914.
 1988 09 413.
 1988 08 426·
 1988 07 52
 1988 06 8811.
 1988 05 951·
 1988 04 574·
 1988 03 159.
 1988 02 253.
 1988 01 287·
 1987 12  603.
 1987 11  703.
 1987 09  779.
 1987 08  467.
 1987 07  881·
 1987 06  857.
 1987 05  465·
 1987 04  81
 1987 03  37·
 1987 02  546·
 1987 01  565.
 1986 12 90
 1986 11 953·
 1986 10 978.
 1986 09 576·
 1986 08 535.
 1986 07 755.
 1986 06 584.
 1986 05 266.
 1986 04 786·
 1986 03 835·
 1986 02 59.
 1986 01 6313·
 1985 12  97
 1985 11  79
 1985 10  342·
 1985 09  921.
 1985 08  661.
 1985 05  546.
 1985 04  634·
 1985 03  646·
 1985 02  663.
 1985 01  185·
 1984 12 365·
 1984 11 55
 1984 10 54·
 1984 09 114·
 1984 08 233.
 1984 07 663·
 1984 06 132·
 1984 04 9510·
 1984 03 187·
 1984 02 207.
 1984 01 493·
 1983 12  586.
 1983 11  39
 1983 10  705.
 1983 09  925·
 1983 08  136.
 1983 07  318·
 1983 06  909.
 1983 05  5019.
 1983 04  9810.
 1983 03  64
 1983 02  80
 1983 01  551.
 1982 12 753.
 1982 11 305·
 1982 10 662.
 1982 09 63
 1982 08 3311·
 1982 07 5013·
 1982 06 999·
 1982 05 5611.
 1982 04 858·
 1982 03 6713.
 1982 02 545.
 1982 01 406·
 1981 12  68
 1981 11  513.
 1981 10  311.
 1981 09  477.
 1981 08  456·
 1981 07  966.
 1981 06  5510·
 1981 05  347.
 1981 04  41·
 1981 03  21
 1981 02  782·
 1981 01  834·
 1980 12 594·
 1980 11 691.
 1980 10 745·
 1980 09 997.
 1980 08 461.
 1980 07 118·
 1980 06 439·
 1980 05 158.
 1980 04 298·
 1980 03 413.
 1980 02 12
 1980 01 888.
 1979 12  965·
 1979 11  762·
 1979 10  303·
 1979 09  986·
 1979 08  594·
 1979 07  638.
 1979 06  736.
 1979 05  538.
 1979 04  5714·
 1979 03  694·
 1979 02  423·
 1979 01  837.
 1978 12 531·
 1978 11 890.
 1978 10 611.
 1978 08 473.
 1978 07 341·
 1978 06 424.
 1978 05 828.
 1978 04 266.
 1978 03 125·
 1978 02 72
 1978 01 783·
 1977 12  25
 1977 11  273·
 1977 10  493.
 1977 09  526.
 1977 08  777.
 1977 07  418.
 1977 06  665·
 1977 05  286·
 1977 04  3910.
 1977 03  427.
 1977 02  428·
 1977 01  573.
 1976 12 918·
 1976 11 421.
 1976 10 236·
 1976 09 142·
 1976 08 424.
 1976 07 805.
 1976 06 76
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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.
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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 25-34 years, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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