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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 16-19 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 06 348·
 1976 07 6650·
 1976 08 1957·
 1976 09 5128.
 1976 10 7835.
 1976 11 1525.
 1976 12 8129.
 1977 01  2523.
 1977 02  7531·
 1977 03  1933.
 1977 04  139·
 1977 05  5439.
 1977 06  4649.
 1977 07  5951.
 1977 08  9138·
 1977 09  8221·
 1977 10  6521.
 1977 11  4219·
 1977 12  8919·
 1978 01 7827.
 1978 02 3229·
 1978 03 039.
 1978 04 5830·
 1978 05 3745.
 1978 06 7441·
 1978 07 8959.
 1978 08 8551.
 1978 09 7716·
 1978 10 4013.
 1978 11 9118·
 1978 12 8422.
 1979 01  4225.
 1979 02  724·
 1979 03  1329.
 1979 04  9337.
 1979 05  334·
 1979 06  7346·
 1979 07  8557·
 1979 08  7443.
 1979 09  5231.
 1979 10  6516.
 1979 11  6623·
 1979 12  1518·
 1980 01 923·
 1980 02 3420·
 1980 03 3618·
 1980 04 2924·
 1980 05 1933.
 1980 06 5442·
 1980 07 244.
 1980 08 5538·
 1980 09 5042·
 1980 10 2642·
 1980 11 9629.
 1980 12 5438·
 1981 01  9640·
 1981 02  7523·
 1981 03  7530·
 1981 04  1526.
 1981 05  7721·
 1981 06  5131·
 1981 07  1935.
 1981 08  5222·
 1981 09  3721.
 1981 10  3116·
 1981 11  3615.
 1981 12  014·
 1982 01 4415.
 1982 02 1429·
 1982 03 5830·
 1982 04 2448·
 1982 05 9443.
 1982 06 2652·
 1982 07 4051·
 1982 08 1252.
 1982 09 416.
 1982 10 1824.
 1982 11 6515.
 1982 12 7624.
 1983 01  2022.
 1983 02  6428.
 1983 03  3934.
 1983 04  5417.
 1983 05  1132.
 1983 06  6440.
 1983 07  9532·
 1983 08  940.
 1983 09  7026.
 1983 10  4623.
 1983 11  8738.
 1983 12  2929·
 1984 01 1724·
 1984 02 5826.
 1984 03 9935.
 1984 04 2723·
 1984 05 9533·
 1984 06 7647·
 1984 07 3747·
 1984 08 4127·
 1984 09 7525·
 1984 10 123·
 1984 11 3223.
 1984 12 3325·
 1985 01  5017.
 1985 02  5830.
 1985 03  4121.
 1985 04  9222.
 1985 05  3917·
 1985 06  9721.
 1985 07  4629·
 1985 08  3030.
 1985 09  866·
 1985 10  948.
 1985 11  5318·
 1985 12  869.
 1986 01 6111.
 1986 02 49
 1986 03 954.
 1986 04 2214.
 1986 05 58
 1986 06 8816.
 1986 07 2734.
 1986 08 2635.
 1986 09 9620·
 1986 10 6021.
 1986 11 3113·
 1986 12 117.
 1987 01  1911·
 1987 02  429.
 1987 03  1413.
 1987 04  158.
 1987 05  957.
 1987 06  3417.
 1987 07  822·
 1987 08  023.
 1987 09  2015·
 1987 10  6013·
 1987 11  6911.
 1987 12  556.
 1988 01 1315.
 1988 02 726·
 1988 03 792·
 1988 04 9312.
 1988 05 172·
 1988 06 4538·
 1988 07 454.
 1988 08 5126.
 1988 09 115·
 1988 10 808.
 1988 11 9717.
 1988 12 9311·
 1989 01  6113.
 1989 02  017.
 1989 03  936·
 1989 04  615·
 1989 05  1512·
 1989 06  5811.
 1989 07  1516·
 1989 08  321·
 1989 09  617·
 1989 10  2911·
 1989 11  6910·
 1989 12  2210.
 1990 01 511·
 1990 02 128.
 1990 03 8614·
 1990 04 2519.
 1990 05 523·
 1990 06 3316·
 1990 07 2424.
 1990 08 216·
 1990 09 2613·
 1990 10 439.
 1990 11 6412·
 1990 12 647·
 1991 01  129.
 1991 02  174·
 1991 03  137·
 1991 04  507.
 1991 05  316·
 1991 06  568·
 1991 07  111·
 1991 08  2210·
 1991 09  786.
 1991 10  846·
 1991 11  874·
 1991 12  697.
 1992 01 7313.
 1992 02 524·
 1992 03 5113.
 1992 04 315.
 1992 05 5815·
 1992 06 3621.
 1992 07 011.
 1992 08 6224.
 1992 09 46.
 1992 10 363·
 1992 11 677·
 1992 12 912.
 1993 01  518.
 1993 02  7728·
 1993 03  69·
 1993 04  3220.
 1993 05  7913.
 1993 06  1013.
 1993 07  127·
 1993 08  4329·
 1993 09  7117·
 1993 10  109·
 1993 11  5715.
 1993 12  825·
 1994 01 502.
 1994 02 774·
 1994 03 7
 1994 04 1010·
 1994 05 102.
 1994 06 3810·
 1994 07 723·
 1994 08 1518.
 1994 09 704·
 1994 10 427·
 1994 11 3911.
 1994 12 118.
 1995 01  756.
 1995 02  646·
 1995 03  919·
 1995 04  3519·
 1995 05  9317·
 1995 06  522·
 1995 07  498·
 1995 08  5010.
 1995 09  1915·
 1995 10  91
 1995 11  155·
 1995 12  456.
 1996 01 716.
 1996 02 7213·
 1996 03 906.
 1996 04 3118·
 1996 05 9521.
 1996 06 2327.
 1996 07 7910.
 1996 08 4711.
 1996 09 589.
 1996 10 459·
 1996 11 1510·
 1996 12 5613·
 1997 01  56
 1997 02  6310.
 1997 03  5511·
 1997 04  4512·
 1997 05  712.
 1997 06  2714.
 1997 07  7928·
 1997 08  2828·
 1997 09  5613·
 1997 10  137.
 1997 11  945.
 1997 12  425.
 1998 01 711.
 1998 02 215.
 1998 03 3310·
 1998 04 5013·
 1998 05 4710·
 1998 06 7717·
 1998 07 5117.
 1998 08 414.
 1998 09 35·
 1998 10 3010.
 1998 11 314·
 1999 01  2711·
 1999 02  836.
 1999 03  577.
 1999 04  783·
 1999 05  453.
 1999 06  569.
 1999 07  5815·
 1999 08  2511.
 1999 09  609.
 1999 10  167·
 1999 11  585.
 1999 12  296·
 2000 01 5813.
 2000 02 8314.
 2000 03 87·
 2000 04 7015·
 2000 05 52
 2000 06 112.
 2000 07 829·
 2000 08 5718·
 2000 09 8211·
 2000 10 3810.
 2000 11 8212.
 2000 12 199·
 2001 01  813.
 2001 02  9021.
 2001 03  3220.
 2001 04  1410·
 2001 06  2018·
 2001 07  7411·
 2001 08  8412·
 2001 09  236.
 2001 10  306·
 2001 11  356·
 2001 12  128·
 2002 02 542·
 2002 03 776.
 2002 04 435.
 2002 05 172·
 2002 06 372·
 2002 07 227·
 2002 08 91
 2002 09 246.
 2002 10 306.
 2002 11 5417·
 2002 12 9910·
 2003 01  846·
 2003 02  148.
 2003 03  856.
 2003 04  115.
 2003 05  7211.
 2003 06  9610.
 2003 07  55
 2003 08  9514·
 2003 09  897.
 2003 10  74·
 2003 11  257·
 2003 12  4711·
 2004 01 5911.
 2004 02 49.
 2004 03 8310.
 2004 04 859.
 2004 05 3317·
 2004 06 6816.
 2004 07 4211·
 2004 08 53
 2004 09 884·
 2004 10 74·
 2004 12 416.
 2005 01  206.
 2005 02  2216.
 2005 03  519·
 2005 04  428.
 2005 05  812.
 2005 06  6110·
 2005 07  596.
 2005 08  331.
 2005 10  553·
 2005 11  578.
 2005 12  103.
 2006 01 273.
 2006 02 856·
 2006 04 831·
 2006 05 126·
 2006 06 619·
 2006 07 4211.
 2006 08 415·
 2006 09 97
 2006 10 991.
 2006 11 195.
 2006 12 56
 2007 01  2020·
 2007 02  2913.
 2007 03  3516.
 2007 04  7911·
 2007 05  651.
 2007 06  6317.
 2007 07  3424.
 2007 08  849.
 2007 09  370·
 2007 10  392·
 2007 11  862.
 2007 12  721·
 2008 01 676.
 2008 02 215·
 2008 03 859.
 2008 04 6920.
 2008 05 1414·
 2008 06 957.
 2008 07 498.
 2008 08 255·
 2008 09 583·
 2008 10 763.
 2008 11 243.
 2008 12 156.
 2009 01  53.
 2009 02  04.
 2009 03  780.
 2009 05  399.
 2009 06  8915·
 2009 07  3219·
 2009 08  59.
 2009 09  244.
 2009 10  642.
 2009 11  583·
 2009 12  245·
 2010 01 191·
 2010 02 131.
 2010 03 913.
 2010 04 808.
 2010 05 14·
 2010 06 4313·
 2010 07 7012·
 2010 08 426.
 2010 09 681·
 2010 10 8510.
 2010 11 5712.
 2010 12 311·
 2011 01  479.
 2011 02  964.
 2011 03  414.
 2011 04  8411.
 2011 05  883·
 2011 06  57
 2011 07  349·
 2011 08  278·
 2011 09  675·
 2011 10  751·
 2011 11  731·
 2011 12  37·
 2012 01 839·
 2012 02 825·
 2012 03 234.
 2012 04 517·
 2012 05 6313·
 2012 06 358.
 2012 07 7012.
 2012 08 5310·
 2012 09 5614.
 2012 10 141·
 2012 11 283.
 2012 12 916.
 2013 01  3811·
 2013 02  273.
 2013 03  344·
 2013 04  871.
 2013 05  103·
 2013 06  54.
 2013 07  527·
 2013 08  367.
 2013 09  964.
 2013 10  55·
 2013 11  7023.
 2013 12  5717.
 2014 01 4825.
 2014 02 924·
 2014 03 9913·
 2014 04 954·
 2014 05 409.
 2014 06 222·
 2014 07 7910·
 2014 08 188·
 2014 09 734.
 2014 10 780·
 2014 11 725·
 2014 12 200.
 2015 01  720·
 2015 02  320.
 2015 03  650.
 2015 04  227.
 2015 05  880.
 2015 06  661.
 2015 07  7313.
 2015 08  659.
 2015 09  961.
 2015 10  872.
 2015 11  325·
 2015 12  211.
 2016 01 971·
 2016 02 275·
 2016 03 6
 2016 04 832·
 2016 05 1612.
 2016 06 417·
 2016 07 8211.
 2016 08 716.
 2016 09 3


 2016 10 125.
 2016 11 737·
 2016 12 2712·
 2017 01  3310·
 2017 02  475.
 2017 03  187·
 2017 04  2210·
 2017 05  81.
 2017 06  765.
 2017 07  791.
 2017 08  507.
 2017 09  52
 2017 10  574.
 2017 11  444.
 2017 12  29
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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, 16-19 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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