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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 20-24 years, Men: NSA
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 2012 04 920·
 2012 03 685·
 2012 02 7921.
 2012 01 810.
 2011 12  645.
 2011 11  570.
 2011 10  98
 2011 09  31
 2011 08  772.
 2011 07  184.
 2011 06  93
 2011 05  273.
 2011 04  8210·
 2011 03  353.
 2011 02  765·
 2011 01  415.
 2010 12 545.
 2010 11 13
 2010 10 8710.
 2010 09 414·
 2010 08 937·
 2010 07 8516.
 2010 06 8723·
 2010 05 2316.
 2010 04 2617·
 2010 03 76·
 2010 02 647·
 2010 01 513.
 2009 12  15·
 2009 11  607·
 2009 10  3213.
 2009 09  3210.
 2009 08  955·
 2009 07  525·
 2009 06  286.
 2009 03  724.
 2009 02  911.
 2009 01  149.
 2008 12 155.
 2008 11 203.
 2008 10 677.
 2008 09 27·
 2008 08 8110.
 2008 07 9415·
 2008 06 194.
 2008 05 9910.
 2008 04 3916·
 2008 03 398.
 2008 02 429.
 2008 01 10
 2007 12  27
 2007 11  255.
 2007 10  3623.
 2007 09  689·
 2007 07  76.
 2007 06  44
 2007 04  25
 2007 03  293.
 2007 02  698.
 2007 01  175.
 2006 12 615·
 2006 11 75
 2006 10 237.
 2006 09 882·
 2006 07 195.
 2006 06 126·
 2006 05 95·
 2006 04 25
 2006 03 991.
 2005 11  733.
 2005 10  903.
 2005 09  23
 2005 08  279·
 2005 07  136.
 2005 06  521.
 2005 04  14.
 2005 03  5218·
 2005 02  1414.
 2005 01  1011·
 2004 12 210.
 2004 10 513.
 2004 09 84
 2004 08 015.
 2004 07 98
 2004 06 242.
 2004 05 534.
 2004 04 865.
 2004 03 806.
 2004 02 9610·
 2003 07  781·
 2003 06  5612·
 2003 05  692.
 2003 03  1710.
 2003 02  4210·
 2002 10 235.
 2002 08 83·
 2002 07 643·
 2002 06 506.
 2002 05 2410.
 2002 04 672.
 2002 01 355·
 2001 12  344·
 2001 11  23
 2001 10  417·
 2001 09  58
 2001 08  512·
 2001 07  62.
 2001 05  472·
 2001 04  811.
 2001 03  8212·
 2001 02  885.
 2001 01  3011·
 2000 12 8112·
 2000 11 356·
 2000 10 617·
 2000 09 6010·
 2000 08 5811·
 2000 07 407.
 2000 06 232·
 2000 05 3010·
 1999 12  371.
 1999 11  555.
 1999 10  274.
 1999 09  606.
 1999 08  696.
 1999 07  606.
 1999 06  313.
 1999 04  933.
 1999 03  2912.
 1999 02  645·
 1999 01  727·
 1998 12 997·
 1998 11 172.
 1998 10 970·
 1998 08 144·
 1998 07 733.
 1998 06 596·
 1998 05 159·
 1998 04 446.
 1998 03 324.
 1998 02 5
 1998 01 24.
 1997 12  751·
 1997 11  220.
 1997 10  310.
 1997 09  620·
 1997 08  461·
 1997 07  125.
 1997 06  376·
 1997 05  295·
 1997 04  19
 1997 03  941.
 1997 02  4910·
 1997 01  585·
 1996 12 822.
 1996 11 902.
 1996 10 167.
 1996 09 311.
 1996 08 474.
 1996 07 42
 1996 06 147·
 1996 05 5511.
 1996 04 5311·
 1996 03 2111·
 1996 02 4416·
 1996 01 6210.
 1995 12  634.
 1995 11  200·
 1995 10  310.
 1995 09  7
 1995 08  654.
 1995 07  575·
 1995 06  264.
 1995 03  732·
 1995 02  713·
 1995 01  791.
 1994 12 33·
 1994 11 672.
 1994 10 195.
 1994 09 5314·
 1994 08 637.
 1994 07 2016.
 1994 06 7216.
 1994 05 7310·
 1994 04 31
 1994 03 886.
 1994 02 196·
 1994 01 604.
 1993 12  598·
 1993 11  546.
 1993 10  712·
 1993 09  562.
 1993 08  2111·
 1993 07  2311·
 1993 06  6810·
 1993 05  3211.
 1993 04  1820.
 1993 03  2915·
 1993 02  7110.
 1993 01  818.
 1992 12 746.
 1992 11 264.
 1992 10 692·
 1992 09 2211.
 1992 08 4110·
 1992 07 97
 1992 06 7423.
 1992 05 08.
 1992 04 9413.
 1992 03 49
 1992 02 258·
 1992 01 8310·
 1991 12  3413.
 1991 11  1320.
 1991 10  845.
 1991 08  674.
 1991 07  857·
 1991 06  459·
 1991 05  4012·
 1991 04  695.
 1991 03  988.
 1991 02  2810·
 1991 01  418·
 1990 12 3417.
 1990 11 4817·
 1990 10 694.
 1990 09 1514.
 1990 08 329·
 1990 07 3612.
 1990 06 9716·
 1990 05 3717·
 1990 04 568.
 1990 03 8811·
 1990 02 7225.
 1990 01 566·
 1989 12  269.
 1989 11  531.
 1989 10  73
 1989 09  86
 1989 08  8512.
 1989 07  7
 1989 06  78.
 1989 05  648.
 1989 04  35·
 1989 03  505·
 1989 02  74·
 1989 01  545·
 1988 12 741.
 1988 11 94.
 1988 10 29
 1988 09 435.
 1988 08 1811·
 1988 07 3220.
 1988 06 5518·
 1988 05 457·
 1988 04 7714.
 1988 03 968·
 1988 02 916·
 1988 01 96
 1987 12  229·
 1987 11  115·
 1987 10  6815·
 1987 09  6123·
 1987 08  4614·
 1987 07  7216.
 1987 06  4412·
 1987 05  2611·
 1987 04  699.
 1987 03  6011·
 1987 02  05.
 1987 01  66.
 1986 12 3510·
 1986 11 403.
 1986 10 4311·
 1986 09 377.
 1986 08 139.
 1986 07 133·
 1986 06 415·
 1986 05 8212·
 1986 04 979·
 1986 03 311·
 1986 02 403·
 1986 01 304·
 1985 12  612·
 1985 11  62
 1985 10  333·
 1985 09  946·
 1985 08  8413·
 1985 07  6513·
 1985 06  9018.
 1985 05  109.
 1985 04  110.
 1985 03  1114.
 1985 02  418.
 1985 01  437.
 1984 12 5118·
 1984 11 2713·
 1984 10 447·
 1984 09 8013.
 1984 08 5214.
 1984 07 6312·
 1984 06 8022.
 1984 05 3416.
 1984 04 5016·
 1984 03 9410·
 1984 02 568·
 1984 01 427.
 1983 12  124.
 1983 11  214.
 1983 10  36·
 1983 09  6911·
 1983 08  336.
 1983 07  6911·
 1983 06  79
 1983 05  18.
 1983 04  3310.
 1983 03  8815·
 1983 02  646·
 1983 01  518.
 1982 12 567.
 1982 11 544.
 1982 10 668·
 1982 09 5812.
 1982 08 7013·
 1982 07 6712.
 1982 06 1611.
 1982 05 843·
 1982 04 704·
 1982 03 535.
 1982 02 708.
 1982 01 1712·
 1981 12  7511·
 1981 11  6211·
 1981 10  1114·
 1981 09  7018·
 1981 08  286.
 1981 07  6914.
 1981 06  456.
 1981 05  818·
 1981 04  08.
 1981 03  758·
 1981 02  4
 1981 01  1313·
 1980 12 8510.
 1980 11 511·
 1980 10 436·
 1980 09 5418.
 1980 08 022·
 1980 07 1021·
 1980 06 4628.
 1980 05 1615.
 1980 04 9212·
 1980 03 6420.
 1980 02 1912·
 1980 01 3810·
 1979 12  285.
 1979 11  694·
 1979 10  925·
 1979 09  829.
 1979 08  39·
 1979 07  4913.
 1979 06  249·
 1979 05  379·
 1979 04  36
 1979 03  568.
 1979 02  949·
 1979 01  153.
 1978 12 726·
 1978 11 6411·
 1978 10 1110.
 1978 09 536.
 1978 08 782.
 1978 07 746·
 1978 06 67·
 1978 05 1619.
 1978 04 508.
 1978 03 1216·
 1978 02 3515.
 1978 01 916·
 1977 12  73.
 1977 11  276.
 1977 10  818·
 1977 09  9016·
 1977 08  9214·
 1977 07  9518·
 1977 06  4915·
 1977 05  5211.
 1977 04  7614.
 1977 03  1612.
 1977 02  718.
 1977 01  397.
 1976 12 518.
 1976 11 1710.
 1976 10 46.
 1976 09 4010·
 1976 08 388.
 1976 07 4618.
 1976 06 3014.
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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, 20-24 years, 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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