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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 4131.
 1976 07 3927·
 1976 08 3937.
 1976 09 3218.
 1976 10 3123.
 1976 11 5411.
 1976 12 1812.
 1977 01  7212.
 1977 02  4417·
 1977 03  2315.
 1977 04  5318.
 1977 05  6618·
 1977 06  3125·
 1977 07  2932·
 1977 08  5921.
 1977 09  6011·
 1977 10  6514·
 1977 11  7812.
 1977 12  7211·
 1978 01 2211.
 1978 02 4817.
 1978 03 123.
 1978 04 5717.
 1978 05 4625·
 1978 06 623·
 1978 07 5635.
 1978 08 035.
 1978 09 5110.
 1978 10 8812·
 1978 11 2314·
 1978 12 14
 1979 01  8312·
 1979 02  7017.
 1979 03  1115·
 1979 04  3826.
 1979 05  922.
 1979 06  5236·
 1979 07  4940.
 1979 08  3523·
 1979 09  2420.
 1979 10  6010.
 1979 11  9515·
 1979 12  9210.
 1980 01 478·
 1980 02 4410.
 1980 03 319·
 1980 04 229·
 1980 05 2214·
 1980 06 7922·
 1980 07 6329·
 1980 08 6319.
 1980 09 1817.
 1980 10 6722·
 1980 11 2218·
 1980 12 7822.
 1981 01  3018.
 1981 02  3111·
 1981 03  6618·
 1981 04  5517.
 1981 05  7711·
 1981 06  2423.
 1981 07  7726.
 1981 08  716·
 1981 09  214·
 1981 10  1911·
 1981 11  599·
 1981 12  714·
 1982 01 754·
 1982 02 186·
 1982 03 4611.
 1982 04 1124.
 1982 05 9021·
 1982 06 4636.
 1982 07 9434.
 1982 08 1437·
 1982 09 678.
 1982 10 528.
 1982 11 858.
 1982 12 9312.
 1983 01  489.
 1983 02  1414.
 1983 03  2520.
 1983 04  8712·
 1983 05  419·
 1983 06  3122·
 1983 07  4622.
 1983 08  5826.
 1983 09  299.
 1983 10  2813·
 1983 11  46·
 1983 12  945.
 1984 01 419·
 1984 02 557.
 1984 03 8218·
 1984 04 710.
 1984 05 8616.
 1984 06 8932·
 1984 07 8528·
 1984 08 3717.
 1984 09 318.
 1984 10 3010.
 1984 11 4612.
 1984 12 4514·
 1985 01  7111.
 1985 02  215·
 1985 03  218·
 1985 04  1911.
 1985 05  268.
 1985 06  5711.
 1985 07  9119.
 1985 08  7323·
 1985 09  39
 1985 10  704.
 1985 11  649·
 1985 12  444·
 1986 01 804·
 1986 02 402·
 1986 03 712·
 1986 04 965.
 1986 05 421.
 1986 06 949.
 1986 07 6917.
 1986 08 1516·
 1986 09 467.
 1986 10 839.
 1986 11 395.
 1986 12 162·
 1987 01  347·
 1987 02  80
 1987 03  878·
 1987 04  353.
 1987 05  763.
 1987 06  876.
 1987 07  4711·
 1987 08  3718.
 1987 09  674.
 1987 10  295·
 1987 11  747·
 1987 12  72·
 1988 01 2510·
 1988 02 572·
 1988 04 496.
 1988 05 612.
 1988 06 9515·
 1988 07 461.
 1988 08 8017·
 1988 09 356.
 1988 10 45
 1988 11 967.
 1988 12 986.
 1989 01  92
 1989 02  709·
 1989 03  322.
 1989 04  609·
 1989 05  205.
 1989 06  899.
 1989 07  69·
 1989 08  488.
 1989 09  339.
 1989 10  468.
 1989 11  927.
 1989 12  673.
 1990 01 671.
 1990 02 112·
 1990 03 906.
 1990 04 509.
 1990 05 875.
 1990 06 776·
 1990 07 2711·
 1990 08 549.
 1990 09 796.
 1990 10 636·
 1990 11 53
 1990 12 594·
 1991 01  573.
 1991 02  143·
 1991 03  432·
 1991 04  735.
 1991 05  585.
 1991 06  993·
 1991 07  973·
 1991 08  272.
 1991 10  465.
 1991 11  121.
 1991 12  416·
 1992 01 794·
 1992 02 84·
 1992 03 723·
 1992 04 245·
 1992 05 84.
 1992 06 5812.
 1992 07 234.
 1992 08 244.
 1992 10 231.
 1992 11 334·
 1992 12 358·
 1993 01  392·
 1993 02  558.
 1993 03  955.
 1993 04  19.
 1993 05  964.
 1993 06  619.
 1993 07  3410.
 1993 08  4116.
 1993 09  456.
 1993 10  214.
 1993 11  616·
 1993 12  993·
 1994 03 601·
 1994 04 432.
 1994 05 152.
 1994 06 435·
 1994 07 448.
 1994 08 597·
 1994 09 591·
 1994 10 693·
 1994 11 206.
 1994 12 245.
 1995 01  801.
 1995 02  951·
 1995 03  397·
 1995 04  2110·
 1995 05  919·
 1995 06  6514.
 1995 07  775·
 1995 08  57
 1995 09  318.
 1995 10  495.
 1995 11  343.
 1995 12  623·
 1996 01 622.
 1996 02 408.
 1996 03 363.
 1996 04 9412.
 1996 05 7213.
 1996 06 5813.
 1996 07 329·
 1996 08 358·
 1996 09 747·
 1996 10 479.
 1996 11 995.
 1997 01  902.
 1997 02  54·
 1997 03  773.
 1997 04  365.
 1997 05  92
 1997 06  3012·
 1997 07  4019·
 1997 08  6911·
 1997 09  9711.
 1997 10  341.
 1997 11  57
 1997 12  494.
 1998 01 861.
 1998 02 331.
 1998 03 711·
 1998 04 516·
 1998 05 675.
 1998 06 6312·
 1998 07 529.
 1998 08 74
 1998 09 715·
 1998 10 875·
 1998 11 934·
 1999 01  46
 1999 02  556.
 1999 03  936·
 1999 04  153.
 1999 05  153·
 1999 06  14.
 1999 07  948.
 1999 08  616.
 1999 10  583·
 1999 11  142.
 2000 01 286·
 2000 02 997.
 2000 03 742·
 2000 04 278·
 2000 05 586.
 2000 06 262·
 2000 08 90
 2000 09 966·
 2000 10 725·
 2000 11 583·
 2001 02  552.
 2001 03  33·
 2001 04  832·
 2001 06  419.
 2001 07  456·
 2001 08  553.
 2001 09  27
 2001 10  446.
 2002 03 605.
 2002 06 82
 2002 07 707·
 2002 08 615.
 2002 09 272.
 2002 10 432·
 2002 11 977.
 2002 12 115.
 2003 01  944.
 2003 02  185.
 2003 03  231.
 2003 04  383.
 2003 05  385.
 2003 06  154.
 2003 07  854.
 2003 08  1213.
 2003 09  584·
 2003 10  644.
 2003 11  463.
 2003 12  26
 2004 01 812.
 2004 02 22
 2004 03 939.
 2004 04 997·
 2004 05 5713.
 2004 06 7211.
 2004 07 418.
 2004 09 762·
 2004 10 602·
 2004 12 194.
 2005 01  264·
 2005 02  2614.
 2005 03  926.
 2005 04  956.
 2005 05  111.
 2005 06  434·
 2005 07  78
 2005 08  581·
 2005 11  854·
 2006 01 470.
 2006 02 683·
 2006 04 881.
 2006 05 60
 2006 06 806.
 2006 07 388·
 2006 08 923·
 2006 09 75
 2006 10 13
 2006 11 885.
 2006 12 36.
 2007 01  919·
 2007 02  40
 2007 03  439.
 2007 04  755·
 2007 05  971.
 2007 06  7910·
 2007 07  5416.
 2007 08  922.
 2008 01 74.
 2008 03 76
 2008 04 9611·
 2008 05 609·
 2008 06 576.
 2008 07 988.
 2009 01  703.
 2009 05  104·
 2009 06  108.
 2009 07  40
 2009 08  0
 2009 09  00.
 2009 10  560.
 2009 11  220.
 2009 12  38
 2010 01 101·
 2010 02 51·
 2010 03 873.
 2010 04 594·
 2010 05 473·
 2010 06 970·
 2010 07 5
 2010 08 630.
 2010 09 440.
 2010 10 954·
 2010 11 693·
 2010 12 754.
 2011 01  564.
 2011 02  854.
 2011 03  99
 2011 04  470·
 2011 05  650.
 2011 06  810·
 2011 07  396·
 2011 08  527.
 2011 09  781.
 2011 10  211·
 2011 11  591.
 2011 12  932.
 2012 01 27
 2012 02 680·
 2012 03 510.
 2012 04 937.
 2012 05 6810·
 2012 06 103.
 2012 07 368.
 2012 08 44.
 2012 09 834·
 2012 10 59
 2012 11 580·
 2012 12 16.
 2013 01  794.
 2013 02  533·
 2013 03  854.
 2013 04  840·
 2013 05  860.
 2013 06  560.
 2013 07  120·
 2013 08  794.
 2013 09  634.
 2013 10  554·
 2013 11  5811·
 2013 12  363.
 2014 01 90
 2014 02 640.
 2014 03 680.
 2014 04 30
 2014 05 732.
 2014 06 192·
 2014 07 95.
 2014 08 624·
 2014 09 464.
 2014 10 840·
 2014 11 77
 2014 12 570.
 2015 01  640.
 2015 02  47
 2015 03  900.
 2015 04  660·
 2015 05  90.
 2015 06  210.
 2015 07  9310·
 2015 08  645·
 2015 09  871·
 2015 10  43
 2015 11  550.
 2015 12  511·
 2016 01 311·
 2016 02 764.
 2016 03 700.
 2016 04 530.
 2016 05 97
 2016 06 90.
 2016 07 5711·
 2016 08 20
 2016 09 662·
 2016 10 54
 2016 11 604·
 2016 12 288.
 2017 01  460.
 2017 02  500·
 2017 03  493.


 2017 04  767.
 2017 05  671.
 2017 06  580.
 2017 07  170·
 2017 08  913.
 2017 09  871·
 2017 10  674.
 2017 11  844.
 2017 12  23
 2018 01 867.
 2018 02 900.
 2018 03 93
 2018 04 473.
 2018 05 733.
 2018 06 654.
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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, 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

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