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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 18-19 years, Men: NSA
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 1976 06 9811·
 1976 07 215·
 1976 08 6111·
 1976 09 157·
 1976 10 3010·
 1976 11 703.
 1976 12 56.
 1977 01  341·
 1977 02  345.
 1977 03  437.
 1977 04  5718·
 1977 05  5712·
 1977 06  6216.
 1977 07  314·
 1977 08  299·
 1977 09  303.
 1977 10  884.
 1977 11  563.
 1977 12  594·
 1978 01 2113.
 1978 02 129.
 1978 03 3313.
 1978 04 106·
 1978 05 246·
 1978 06 618.
 1978 07 927·
 1978 08 697.
 1978 09 584·
 1978 11 843.
 1978 12 138·
 1979 01  517·
 1979 02  688.
 1979 03  588.
 1979 04  47.
 1979 05  9110.
 1979 06  236.
 1979 07  8112·
 1979 08  9711.
 1979 09  546.
 1979 10  173.
 1979 11  815.
 1979 12  477·
 1980 01 2712·
 1980 02 696.
 1980 03 66·
 1980 04 3710.
 1980 05 2418·
 1980 06 2315.
 1980 07 3315·
 1980 08 7216·
 1980 09 8121·
 1980 10 4818·
 1980 11 629·
 1980 12 8613.
 1981 01  6319·
 1981 02  398·
 1981 03  189·
 1981 04  343·
 1981 05  565.
 1981 06  154·
 1981 07  526.
 1981 08  983·
 1981 09  744.
 1981 10  195·
 1981 11  384·
 1981 12  846.
 1982 01 555.
 1982 02 2114.
 1982 03 7910·
 1982 04 2512.
 1982 05 6112.
 1982 06 155.
 1982 07 988·
 1982 08 778·
 1982 09 816·
 1982 10 2013.
 1982 11 466.
 1982 12 229.
 1983 01  2612·
 1983 02  8112·
 1983 03  998·
 1983 05  665·
 1983 06  377.
 1983 08  667·
 1983 09  579.
 1983 10  40
 1983 11  7422·
 1983 12  6920.
 1984 01 4511.
 1984 02 315.
 1984 03 2611.
 1984 04 1111.
 1984 05 1513·
 1984 06 3412.
 1984 07 617.
 1984 08 3410.
 1984 09 4014.
 1984 10 418.
 1984 11 52
 1984 12 88·
 1985 01  226·
 1985 02  5614·
 1985 03  2613.
 1985 04  278·
 1985 05  863.
 1985 06  355·
 1985 07  176·
 1985 08  113·
 1985 10  821·
 1985 11  595·
 1985 12  372·
 1986 01 3
 1986 03 861·
 1986 04 365·
 1986 05 252·
 1986 07 739·
 1986 08 9813·
 1986 09 975·
 1986 10 434·
 1986 11 147·
 1986 12 445.
 1987 01  983.
 1987 02  795·
 1987 03  463.
 1987 04  734.
 1987 05  223.
 1987 06  465·
 1987 07  135.
 1987 08  625·
 1987 09  759.
 1987 10  828·
 1987 11  853·
 1987 12  113.
 1988 01 883·
 1988 02 495.
 1988 03 542.
 1988 04 446·
 1988 05 191.
 1988 06 3716·
 1988 07 413.
 1988 08 1310·
 1988 09 488·
 1988 10 561·
 1988 11 905.
 1988 12 931·
 1989 01  834.
 1989 02  477·
 1989 03  693.
 1989 04  856.
 1989 05  55
 1989 06  701·
 1989 07  732.
 1989 08  139.
 1989 09  211.
 1989 10  151.
 1989 12  211.
 1990 01 272·
 1990 02 636·
 1990 03 946·
 1990 04 574.
 1990 05 58·
 1990 06 865.
 1990 07 4510·
 1990 08 506.
 1990 09 456·
 1990 10 232·
 1990 11 315.
 1990 12 954.
 1991 01  734.
 1991 02  302.
 1991 03  395.
 1991 04  11
 1991 05  411.
 1991 06  903.
 1991 07  844.
 1991 08  41
 1991 09  22
 1991 10  81.
 1991 11  23.
 1992 01 557·
 1992 03 176.
 1992 04 167·
 1992 05 568·
 1992 06 462·
 1992 07 524·
 1992 08 7110.
 1992 09 355.
 1992 11 352.
 1992 12 77
 1993 01  5514·
 1993 02  5017·
 1993 03  654·
 1993 04  688.
 1993 05  747·
 1993 06  413.
 1993 07  613·
 1993 08  256.
 1993 09  595.
 1993 10  711.
 1993 11  519.
 1993 12  731.
 1994 01 682·
 1994 02 250.
 1994 03 204·
 1994 04 637.
 1994 06 835.
 1994 07 199.
 1994 08 5611.
 1994 09 704·
 1994 10 93·
 1994 11 903·
 1994 12 303.
 1995 01  955.
 1995 02  783.
 1995 03  02·
 1995 04  341.
 1995 05  622.
 1995 06  480.
 1995 07  371.
 1995 08  890·
 1995 09  23
 1995 10  992.
 1995 11  152.
 1996 01 382.
 1996 02 535.
 1996 03 381.
 1996 04 715.
 1996 05 514·
 1996 06 5111.
 1996 07 982.
 1996 08 681·
 1996 09 210·
 1996 10 44
 1996 11 340.
 1996 12 955.
 1997 02  685·
 1997 03  827.
 1997 04  286·
 1997 05  634.
 1997 06  361.
 1997 07  406·
 1997 08  8715·
 1997 10  115.
 1997 11  94
 1997 12  190.
 1998 02 434·
 1998 03 29.
 1998 04 374.
 1998 05 435.
 1998 06 514·
 1998 07 234·
 1998 10 822.
 1999 01  65
 1999 02  951.
 1999 03  881.
 1999 04  751·
 1999 06  582.
 1999 07  807·
 1999 08  345·
 1999 09  859.
 1999 10  234.
 1999 11  383.
 1999 12  254.
 2000 06 610·
 2000 07 866·
 2000 08 266·
 2000 09 475·
 2000 10 565·
 2000 11 969·
 2000 12 257·
 2001 01  1511.
 2001 02  817.
 2001 03  3010.
 2001 04  423·
 2001 06  658·
 2001 07  485·
 2001 08  88
 2001 09  93.
 2001 11  623.
 2001 12  533.
 2002 02 951.
 2002 03 821.
 2002 04 925·
 2002 05 152·
 2002 10 24.
 2002 11 435.
 2002 12 691.
 2003 02  771·
 2003 03  833.
 2003 04  983·
 2003 05  303.
 2003 06  92·
 2003 08  401.
 2003 09  804·
 2003 11  391·
 2003 12  55·
 2004 01 98
 2004 02 458.
 2004 03 831.
 2004 04 840·
 2004 05 62·
 2004 06 745.
 2004 07 75
 2004 12 902·
 2005 01  413·
 2005 02  742·
 2005 03  533·
 2005 04  921.
 2005 05  31.
 2005 06  775.
 2005 10  803.
 2005 11  854·
 2005 12  183·
 2006 01 393.
 2006 02 44
 2006 06 874.
 2006 07 352.
 2006 08 43
 2006 09 582.
 2006 12 432.
 2007 01  308.
 2007 02  946·
 2007 03  596.
 2007 04  226.
 2007 05  3
 2007 06  247·
 2007 07  118·
 2007 08  185.
 2007 09  800.
 2007 10  912.
 2007 11  22.
 2007 12  501·
 2008 01 122.
 2008 02 755·
 2008 03 432·
 2008 04 637.
 2008 05 73
 2008 06 831·
 2008 08 745·
 2008 09 253.
 2008 10 64
 2008 11 473·
 2008 12 576.
 2009 02  304.
 2009 05  115.
 2009 06  244·
 2009 07  802·
 2009 08  995·
 2009 09  634.
 2009 10  952.
 2009 11  553.
 2009 12  74
 2010 01 970·
 2010 02 670.
 2010 03 220·
 2010 04 254·
 2010 05 122.
 2010 06 7113·
 2010 07 4211.
 2010 08 464·
 2010 09 341.
 2010 10 642·
 2010 11 42.
 2010 12 57
 2011 01  13
 2011 02  280·
 2011 03  200.
 2011 04  17·
 2011 05  253.
 2011 06  695.
 2011 07  282.
 2011 08  471·
 2011 09  711·
 2011 10  191.
 2011 11  920·
 2011 12  903·
 2012 01 75
 2012 02 355·
 2012 03 984.
 2012 04 5010.
 2012 05 873·
 2012 06 995·
 2012 07 614.
 2012 08 697.
 2012 09 8410·
 2012 10 160.
 2012 11 183.
 2012 12 170.
 2013 01  663·
 2013 02  190.
 2013 03  310.
 2013 04  880·
 2013 05  580·
 2013 06  644·
 2013 07  894·
 2013 08  23.
 2013 09  100·
 2013 10  330·
 2013 11  48.
 2013 12  311·
 2014 01 9916·
 2014 02 3219.
 2014 03 1512·
 2014 04 59
 2014 05 234·
 2014 06 940.
 2014 07 855·
 2014 08 654.
 2014 09 90.
 2014 10 740.
 2014 11 00.
 2014 12 400.
 2015 01  70·
 2015 02  550.
 2015 03  750.
 2015 04  283.
 2015 05  93
 2015 06  421.
 2015 07  473·
 2015 08  99
 2015 09  66
 2015 10  690.
 2015 11  784·
 2015 12  450·
 2016 01 530.
 2016 02 911·
 2016 03 571·
 2016 04 882.
 2016 05 35·
 2016 06 893·
 2016 07 970·
 2016 08 703.
 2016 09 920.
 2016 10 724.
 2016 11 364.
 2016 12 60
 2017 01  218·
 2017 02  705.
 2017 03  363.


 2017 04  543·
 2017 05  140.
 2017 06  390·
 2017 07  851.
 2017 08  704·
 2017 09  230·
 2017 10  620.
 2017 11  970.
 2017 12  523.
 2018 01 226·
 2018 02 464.
 2018 03 90.
 2018 04 700·
 2018 05 120.
 2018 06 210.
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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.
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: Employment Level: Nonagriculture, Unpaid Family Workers, 18-19 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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