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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 20-24 years, Women: NSA
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 1976 06 9221.
 1976 07 4316.
 1976 08 9716·
 1976 09 3816.
 1976 10 7516.
 1976 11 1713·
 1976 12 7712·
 1977 01  967·
 1977 02  9912·
 1977 03  6424·
 1977 04  3220.
 1977 05  2815·
 1977 06  1419·
 1977 07  6712.
 1977 08  7713·
 1977 09  7815.
 1977 10  9715.
 1977 11  3119.
 1977 12  4812·
 1978 01 159.
 1978 02 4810.
 1978 03 8920·
 1978 04 920·
 1978 05 3324.
 1978 06 9122.
 1978 07 9722.
 1978 08 4717·
 1978 09 5120.
 1978 10 7717·
 1978 11 3619·
 1978 12 7617·
 1979 01  1317·
 1979 02  8321·
 1979 03  1423.
 1979 04  3320·
 1979 05  8915.
 1979 06  726·
 1979 07  6120.
 1979 08  8119·
 1979 09  7312.
 1979 10  7614·
 1979 11  3612·
 1979 12  813·
 1980 01 8310·
 1980 02 3911.
 1980 03 1825·
 1980 04 2718·
 1980 05 6411·
 1980 06 7321·
 1980 07 1614·
 1980 08 7621.
 1980 09 8615.
 1980 10 789.
 1980 11 598·
 1980 12 1713·
 1981 01  419.
 1981 02  7811·
 1981 03  614.
 1981 04  399·
 1981 05  5012·
 1981 06  2513.
 1981 07  3822·
 1981 08  5514.
 1981 09  5712.
 1981 10  9424·
 1981 11  6223·
 1981 12  226·
 1982 01 3028·
 1982 02 8516.
 1982 03 822.
 1982 04 4311.
 1982 05 6420·
 1982 06 2327.
 1982 07 3429.
 1982 08 6718·
 1982 09 778.
 1982 10 6013.
 1982 11 2114·
 1982 12 8512·
 1983 01  1512.
 1983 02  7013.
 1983 03  7711.
 1983 04  3620.
 1983 05  4611.
 1983 06  5324.
 1983 07  3220.
 1983 08  8414.
 1983 09  649.
 1983 10  3619.
 1983 11  4316.
 1983 12  159.
 1984 01 899·
 1984 02 685.
 1984 03 9314.
 1984 04 4220·
 1984 05 6514·
 1984 06 2612·
 1984 07 869·
 1984 08 416.
 1984 09 6010·
 1984 10 87.
 1984 11 5622.
 1984 12 647.
 1985 01  6915·
 1985 02  4216.
 1985 03  5916.
 1985 04  815.
 1985 05  1120·
 1985 06  7618.
 1985 07  777.
 1985 08  5112·
 1985 09  306.
 1985 10  8710·
 1985 11  1516.
 1985 12  3017.
 1986 01 9619.
 1986 02 758.
 1986 03 66·
 1986 04 89.
 1986 05 211.
 1986 06 6512·
 1986 07 710.
 1986 08 7311·
 1986 09 685.
 1986 10 812.
 1986 11 9915·
 1986 12 3817·
 1987 01  3711·
 1987 02  7812·
 1987 03  884.
 1987 04  408.
 1987 05  798.
 1987 06  7816.
 1987 07  711·
 1987 08  426.
 1987 09  8913·
 1987 10  318·
 1987 11  1215·
 1987 12  3412·
 1988 01 847.
 1988 02 88
 1988 03 843.
 1988 04 2612.
 1988 05 106·
 1988 06 2515.
 1988 07 309·
 1988 08 57
 1988 11 354.
 1988 12 422·
 1989 01  838·
 1989 02  9111.
 1989 03  5416·
 1989 04  646·
 1989 05  984.
 1989 06  15
 1989 07  852.
 1989 08  425·
 1989 09  573·
 1989 10  414.
 1989 11  748·
 1989 12  528·
 1990 01 6711.
 1990 02 913·
 1990 03 889.
 1990 04 9316.
 1990 05 5918·
 1990 06 797.
 1990 07 236.
 1990 08 906.
 1990 09 9110.
 1990 10 428·
 1990 11 977.
 1990 12 966·
 1991 01  434.
 1991 02  94.
 1991 03  5412.
 1991 04  848·
 1991 05  238.
 1991 06  187.
 1991 07  6414·
 1991 08  552.
 1991 09  61
 1991 10  3214.
 1991 11  2017·
 1991 12  3411·
 1992 01 1611·
 1992 02 405.
 1992 03 435.
 1992 04 7320.
 1992 05 6715·
 1992 06 5314·
 1992 07 7521.
 1992 08 467.
 1992 09 236.
 1992 10 105.
 1992 11 877.
 1992 12 53
 1993 01  149·
 1993 02  751·
 1993 03  7112·
 1993 04  214.
 1993 05  975·
 1993 06  336·
 1993 07  493.
 1993 08  99
 1993 09  545·
 1993 10  04.
 1993 11  62
 1993 12  633.
 1994 01 922·
 1994 03 118.
 1994 04 823·
 1994 05 134·
 1994 06 428·
 1994 07 317·
 1994 08 15·
 1994 09 754.
 1994 10 601.
 1994 11 482·
 1994 12 391.
 1995 01  993·
 1995 02  29
 1995 03  737·
 1995 04  41
 1995 05  605.
 1995 06  557.
 1995 07  469·
 1995 08  747.
 1995 09  602.
 1995 10  701·
 1995 11  280.
 1995 12  343.
 1996 02 222·
 1996 03 302.
 1996 04 86.
 1996 05 4011.
 1996 08 9819·
 1996 09 1710·
 1996 10 994.
 1996 11 352·
 1996 12 631.
 1997 01  383.
 1997 02  383.
 1997 03  893·
 1997 04  173·
 1997 05  243·
 1997 06  895.
 1997 07  962.
 1997 08  8712·
 1997 09  328·
 1997 10  397.
 1997 11  763.
 1997 12  210.
 1998 01 436·
 1998 02 12.
 1998 03 713.
 1998 04 963·
 1998 05 656.
 1998 06 143·
 1998 07 525.
 1998 08 126·
 1998 09 283.
 1998 10 394·
 1998 11 124·
 1998 12 942·
 1999 01  903.
 1999 02  669.
 1999 03  71
 1999 06  937.
 1999 07  322·
 1999 08  62.
 1999 09  731·
 1999 10  845.
 1999 11  612.
 2000 03 98
 2000 05 862.
 2000 06 67
 2000 07 81·
 2000 08 52·
 2000 10 63·
 2000 11 69
 2000 12 303.
 2001 03  145·
 2001 06  512.
 2001 07  382·
 2001 08  91.
 2001 09  381.
 2001 10  666.
 2001 12  522·
 2002 01 512·
 2002 02 163·
 2002 03 181.
 2002 04 91·
 2002 08 89
 2002 09 93.
 2002 10 48·
 2002 11 366·
 2002 12 771.
 2003 01  7
 2003 03  412.
 2003 05  83
 2003 06  995.
 2003 07  22
 2003 08  750.
 2003 09  250.
 2003 10  610·
 2003 12  911.
 2004 01 733.
 2004 02 6316·
 2004 03 946·
 2004 04 786.
 2004 06 302·
 2004 07 222·
 2004 08 563·
 2004 10 71
 2004 11 663.
 2004 12 523.
 2005 01  273·
 2005 02  836.
 2005 03  25
 2005 05  293·
 2005 07  153·
 2005 08  503.
 2005 09  750.
 2005 10  530.
 2005 11  515.
 2005 12  373·
 2006 01 105.
 2006 02 508·
 2006 03 91
 2006 05 311.
 2006 06 515.
 2006 07 693.
 2006 08 181.
 2006 09 461·
 2006 10 414·
 2006 11 876.
 2006 12 38
 2007 01  18
 2007 02  491·
 2007 03  43·
 2007 05  834·
 2007 06  116·
 2007 07  695·
 2007 08  451.
 2007 12  83.
 2008 01 125·
 2008 02 214.
 2008 03 614·
 2008 04 974·
 2008 05 359·
 2008 06 48
 2008 07 268.
 2008 08 554·
 2009 01  181·
 2009 02  200.
 2009 06  420.
 2009 07  150.
 2009 08  230.
 2009 09  314·
 2009 10  34
 2009 11  3213·
 2009 12  39
 2010 01 01.
 2010 02 510.
 2010 03 890.
 2010 04 770·
 2010 05 724.
 2010 06 700·
 2010 07 920·
 2010 08 770·
 2010 09 140·
 2010 10 914.
 2010 11 73
 2010 12 19.
 2011 01  229·
 2011 02  4015·
 2011 03  889.
 2011 04  36
 2011 05  155.
 2011 06  65
 2011 07  193.
 2011 08  970·
 2011 09  360.
 2011 10  447.
 2011 11  734·
 2011 12  19
 2012 01 555.
 2012 02 773·
 2012 03 810·
 2012 04 681·
 2012 05 676·
 2012 06 880.
 2012 07 03.
 2012 08 300·
 2012 09 890.
 2012 10 290·
 2012 11 120.
 2012 12 182·
 2013 01  674.
 2013 02  74
 2013 03  2310·
 2013 04  704.
 2013 05  690.
 2013 06  243·
 2013 07  653·
 2013 08  496·
 2013 09  900.
 2013 10  54.
 2013 11  940.
 2013 12  440·
 2014 01 480·
 2014 02 660·
 2014 03 930.
 2014 04 660·
 2014 05 894.
 2014 06 834·
 2014 07 670·
 2014 08 540·
 2014 09 800.
 2014 10 580.
 2014 11 490.
 2014 12 700.
 2015 01  170.
 2015 02  140.
 2015 03  950.
 2015 04  4
 2015 05  170·
 2015 06  20.
 2015 07  870·
 2015 08  660.
 2015 09  270.
 2015 10  988.
 2015 11  319·
 2015 12  965.
 2016 01 13
 2016 02 23.
 2016 03 591·
 2016 04 563.
 2016 05 726.
 2016 06 402·
 2016 07 283.
 2016 08 342.
 2016 09 212·
 2016 10 620.
 2016 11 190·
 2016 12 43
 2017 01  60.
 2017 02  430.
 2017 03  390.


 2017 04  210.
 2017 05  942.
 2017 06  845·
 2017 07  195.
 2017 08  311.
 2017 09  811·
 2017 10  100·
 2017 11  170·
 2017 12  614.
 2018 01 850·
 2018 02 710.
 2018 03 134.
 2018 04 235.
 2018 05 519·
 2018 06 43
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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, Women: 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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