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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 16-17 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1976 06 7731·
 1976 07 5427.
 1976 08 4437·
 1976 09 8018·
 1976 10 2123.
 1976 11 2711.
 1976 12 6012.
 1977 01  1212.
 1977 02  5717·
 1977 03  2415.
 1977 04  318.
 1977 05  6918.
 1977 06  3425.
 1977 07  2632.
 1977 08  8421·
 1977 09  9311·
 1977 10  2914·
 1977 11  3912.
 1977 12  4211·
 1978 01 5411.
 1978 02 4117·
 1978 03 9623·
 1978 04 3917·
 1978 05 4625.
 1978 06 9623·
 1978 07 5335.
 1978 08 6435·
 1978 09 8810·
 1978 10 4412·
 1978 11 9214·
 1978 12 30
 1979 01  2512.
 1979 02  6117·
 1979 03  1915.
 1979 04  7326·
 1979 05  2522.
 1979 06  4736.
 1979 07  6540·
 1979 08  5823·
 1979 09  8320·
 1979 10  2810.
 1979 11  8915·
 1979 12  7210.
 1980 01 178·
 1980 02 5310.
 1980 03 719.
 1980 04 289·
 1980 05 7314·
 1980 06 9822·
 1980 07 1729·
 1980 08 6319·
 1980 09 1817·
 1980 10 6522·
 1980 11 6018.
 1980 12 4122·
 1981 01  4818·
 1981 02  7711.
 1981 03  5718·
 1981 04  5017.
 1981 05  8111·
 1981 06  8623.
 1981 07  8826·
 1981 08  316.
 1981 09  6214·
 1981 10  6611·
 1981 11  609·
 1981 12  364.
 1982 01 594·
 1982 02 196.
 1982 03 611.
 1982 04 1424·
 1982 05 6721.
 1982 06 6936.
 1982 07 8134.
 1982 08 2437·
 1982 09 5
 1982 10 678·
 1982 11 688·
 1982 12 7912.
 1983 01  179·
 1983 02  8914·
 1983 03  7220.
 1983 04  1812·
 1983 05  7219·
 1983 06  3422.
 1983 07  2722·
 1983 08  226·
 1983 09  659.
 1983 10  2913.
 1983 11  876.
 1983 12  19
 1984 01 149·
 1984 02 237·
 1984 03 3618·
 1984 04 8410.
 1984 05 6416·
 1984 06 9232·
 1984 07 7928.
 1984 08 3217·
 1984 09 838.
 1984 10 3610.
 1984 11 4812·
 1984 12 2814.
 1985 01  6611·
 1985 02  8115.
 1985 03  08·
 1985 04  6011.
 1985 05  338·
 1985 06  7711·
 1985 07  1719.
 1985 08  4023.
 1985 09  264.
 1985 10  04·
 1985 11  49·
 1985 12  54.
 1986 01 164.
 1986 02 492·
 1986 03 952·
 1986 04 205.
 1986 05 961.
 1986 06 519·
 1986 07 4517.
 1986 08 7116·
 1986 09 867·
 1986 10 559.
 1986 11 365.
 1986 12 732.
 1987 01  307.
 1987 02  383·
 1987 03  748.
 1987 04  623.
 1987 05  963·
 1987 06  996·
 1987 07  9211·
 1987 08  118·
 1987 09  80
 1987 10  645.
 1987 11  467·
 1987 12  792.
 1988 01 9910.
 1988 02 832·
 1988 04 186·
 1988 05 82.
 1988 06 9915·
 1988 07 311·
 1988 08 1317·
 1988 09 26
 1988 10 498·
 1988 11 107.
 1988 12 656·
 1989 01  975.
 1989 02  429·
 1989 03  442.
 1989 04  299·
 1989 05  75.
 1989 06  989·
 1989 07  849.
 1989 08  888.
 1989 09  709.
 1989 10  608·
 1989 11  57.
 1989 12  473·
 1990 01 241.
 1990 02 992.
 1990 03 86.
 1990 04 38
 1990 05 325.
 1990 06 86.
 1990 07 1711·
 1990 08 199.
 1990 09 816.
 1990 10 66·
 1990 11 847.
 1990 12 714·
 1991 01  84
 1991 02  373.
 1991 03  842·
 1991 04  995.
 1991 05  805·
 1991 06  713·
 1991 07  173.
 1991 08  372·
 1991 10  31
 1991 11  21.
 1991 12  8
 1992 01 414·
 1992 02 264·
 1992 03 493.
 1992 04 85·
 1992 05 914.
 1992 06 7612.
 1992 07 554.
 1992 08 93
 1992 10 961·
 1992 11 204.
 1992 12 918·
 1993 01  622·
 1993 02  878.
 1993 03  215.
 1993 04  509.
 1993 05  414.
 1993 06  199.
 1993 07  6610·
 1993 08  5116.
 1993 09  816.
 1993 10  754.
 1993 11  696.
 1993 12  393.
 1994 03 571·
 1994 04 622.
 1994 05 682.
 1994 06 835·
 1994 07 698.
 1994 08 117·
 1994 09 241·
 1994 10 773·
 1994 11 436.
 1994 12 795.
 1995 01  271·
 1995 02  391·
 1995 03  28
 1995 04  4710·
 1995 05  909.
 1995 06  1514·
 1995 07  15.
 1995 08  238.
 1995 09  498·
 1995 10  735.
 1995 11  623·
 1995 12  373.
 1996 01 682·
 1996 02 7
 1996 03 363.
 1996 04 4612.
 1996 05 3513.
 1996 06 3713.
 1996 07 749·
 1996 08 328·
 1996 09 627.
 1996 10 69·
 1996 11 515.
 1997 01  22·
 1997 02  884.
 1997 03  843.
 1997 04  675.
 1997 05  877·
 1997 06  7612.
 1997 07  6619·
 1997 08  4811·
 1997 09  4411·
 1997 10  121·
 1997 11  691.
 1997 12  444·
 1998 01 551·
 1998 02 121·
 1998 03 391.
 1998 04 306·
 1998 05 265.
 1998 06 1112.
 1998 07 449.
 1998 08 84.
 1998 09 895.
 1998 10 735·
 1998 11 784·
 1999 01  24·
 1999 02  06.
 1999 03  866.
 1999 04  61
 1999 05  633.
 1999 06  414·
 1999 07  638·
 1999 08  376·
 1999 10  653·
 1999 11  192.
 2000 01 426.
 2000 02 757.
 2000 03 112.
 2000 04 65
 2000 05 856.
 2000 06 692.
 2000 08 247·
 2000 09 376·
 2000 10 815.
 2000 11 383.
 2001 02  552·
 2001 03  153·
 2001 04  422·
 2001 06  279.
 2001 07  806.
 2001 08  63.
 2001 09  63.
 2001 10  46·
 2002 03 05·
 2002 06 432·
 2002 07 377.
 2002 08 645·
 2002 09 38
 2002 10 812.
 2002 11 21
 2002 12 255·
 2003 01  474.
 2003 02  25.
 2003 03  721.
 2003 04  333·
 2003 05  1
 2003 06  13
 2003 07  294.
 2003 08  5513.
 2003 09  04·
 2003 10  454.
 2003 11  533·
 2003 12  872·
 2004 01 70
 2004 02 562·
 2004 03 329·
 2004 04 47
 2004 05 6213.
 2004 06 2711.
 2004 07 808·
 2004 09 802·
 2004 10 512·
 2004 12 644·
 2005 01  354.
 2005 02  5414.
 2005 03  376·
 2005 04  99
 2005 05  581·
 2005 06  644·
 2005 07  456.
 2005 08  881·
 2005 11  394.
 2006 01 290.
 2006 02 273.
 2006 04 14
 2006 05 903.
 2006 06 936.
 2006 07 568.
 2006 08 843.
 2006 09 490·
 2006 10 250.
 2006 11 355.
 2006 12 276·
 2007 01  78
 2007 02  207·
 2007 03  889·
 2007 04  25·
 2007 05  67
 2007 06  9610·
 2007 07  6516·
 2007 08  902·
 2008 01 274·
 2008 03 977.
 2008 04 4211.
 2008 05 989·
 2008 06 96
 2008 07 948.
 2009 01  203.
 2009 05  564.
 2009 06  388.
 2009 07  794.
 2009 08  234.
 2009 09  230·
 2009 10  400.
 2009 11  720.
 2009 12  24.
 2010 01 791·
 2010 02 161·
 2010 03 183.
 2010 04 334.
 2010 05 313.
 2010 06 20.
 2010 07 841.
 2010 08 160·
 2010 09 110.
 2010 10 624.
 2010 11 673·
 2010 12 764·
 2011 01  754·
 2011 02  854.
 2011 03  834.
 2011 04  630.
 2011 05  60.
 2011 06  820.
 2011 07  796.
 2011 08  54
 2011 09  91.
 2011 10  911.
 2011 11  221·
 2011 12  482·
 2012 01 160·
 2012 02 760.
 2012 03 80·
 2012 04 717.
 2012 05 8510.
 2012 06 253.
 2012 07 558·
 2012 08 744.
 2012 09 964.
 2012 10 501.
 2012 11 60·
 2012 12 306.
 2013 01  564.
 2013 02  893.
 2013 03  334.
 2013 04  420·
 2013 05  970.
 2013 06  50·
 2013 07  280.
 2013 08  354.
 2013 09  764.
 2013 10  864·
 2013 11  1111·
 2013 12  583.
 2014 01 734·
 2014 02 450.
 2014 03 250.
 2014 04 870.
 2014 05 972.
 2014 06 192·
 2014 07 415·
 2014 08 234.
 2014 09 784·
 2014 10 730·
 2014 11 51
 2014 12 900.
 2015 01  73
 2015 02  930·
 2015 03  760·
 2015 04  410.
 2015 05  640.
 2015 06  920·
 2015 07  6010.
 2015 08  485·
 2015 09  571.
 2015 10  82.
 2015 11  710.
 2015 12  141·
 2016 01 851·
 2016 02 54.
 2016 03 40.
 2016 04 640.
 2016 05 34.
 2016 06 700.


 2016 07 7711.
 2016 08 470.
 2016 09 932·
 2016 10 161·
 2016 11 364·
 2016 12 408·
 2017 01  620.
 2017 02  810·
 2017 03  483·
 2017 04  437.
 2017 05  421·
 2017 06  270.
 2017 07  9
 2017 08  803.
 2017 09  89
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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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      Example 1: Get Unemployment Rates for people in Computer jobs







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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 16-17 years: 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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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