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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 16-19 years, Men: 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 6630.
 1976 07 6229·
 1976 08 033.
 1976 09 5817·
 1976 10 3718.
 1976 11 428.
 1976 12 7814·
 1977 01  8210.
 1977 02  6917.
 1977 03  1524.
 1977 04  5130·
 1977 05  9825·
 1977 06  1131.
 1977 07  6134·
 1977 08  3225.
 1977 09  5111·
 1977 10  3916.
 1977 11  8713·
 1977 12  5715.
 1978 01 920·
 1978 02 5422·
 1978 03 2626·
 1978 04 9218.
 1978 05 6824.
 1978 06 8026.
 1978 07 3430·
 1978 08 2232·
 1978 09 4510.
 1978 10 6810·
 1978 11 9210·
 1978 12 6114·
 1979 01  8617·
 1979 02  9320·
 1979 03  716.
 1979 04  4824·
 1979 05  5825.
 1979 06  5625.
 1979 07  1142·
 1979 08  4424.
 1979 09  5719.
 1979 10  8310.
 1979 11  6014.
 1979 12  3813·
 1980 01 218·
 1980 02 2312·
 1980 03 3612·
 1980 04 4315·
 1980 05 3626·
 1980 06 5232·
 1980 07 4635.
 1980 08 9731·
 1980 09 3030·
 1980 10 7030·
 1980 11 2120.
 1980 12 6228·
 1981 01  7633.
 1981 02  417·
 1981 03  1822.
 1981 04  2619.
 1981 05  9414.
 1981 06  222·
 1981 07  1918·
 1981 08  214.
 1981 09  2813·
 1981 10  4114·
 1981 11  2910·
 1981 12  299.
 1982 01 48
 1982 02 2118.
 1982 03 8219.
 1982 04 6825.
 1982 05 4723·
 1982 06 6729·
 1982 07 3332.
 1982 08 926·
 1982 09 4510.
 1982 10 3018.
 1982 11 6411.
 1982 12 6316.
 1983 01  8618.
 1983 02  8523.
 1983 03  8222·
 1983 04  69
 1983 05  3921·
 1983 06  3325·
 1983 07  1821·
 1983 08  9025·
 1983 09  9817·
 1983 10  9821·
 1983 11  2928.
 1983 12  1325·
 1984 01 8220.
 1984 02 3222.
 1984 03 9723·
 1984 04 5120.
 1984 05 3526.
 1984 06 1031·
 1984 07 2830·
 1984 08 4321·
 1984 09 2718.
 1984 10 3116.
 1984 11 5518·
 1984 12 5118.
 1985 01  5215·
 1985 02  2224.
 1985 03  3220.
 1985 04  6214.
 1985 05  289.
 1985 06  3312.
 1985 07  4315·
 1985 08  9114·
 1985 09  12.
 1985 10  394.
 1985 11  9411·
 1985 12  75
 1986 01 387.
 1986 02 411.
 1986 03 173·
 1986 04 768.
 1986 05 351.
 1986 06 647·
 1986 07 6721.
 1986 08 8326.
 1986 09 106·
 1986 10 589.
 1986 11 2810·
 1986 12 86.
 1987 01  7
 1987 02  995.
 1987 03  46.
 1987 04  906·
 1987 05  963.
 1987 06  879.
 1987 07  2913·
 1987 08  9121.
 1987 09  7112·
 1987 10  4810.
 1987 11  595·
 1987 12  993·
 1988 01 5111·
 1988 02 325.
 1988 03 751.
 1988 04 277.
 1988 05 791·
 1988 06 1430·
 1988 07 843.
 1988 08 1424.
 1988 09 2613.
 1988 10 957.
 1988 11 179.
 1988 12 216.
 1989 01  867.
 1989 02  013.
 1989 03  325.
 1989 04  3614.
 1989 05  7710·
 1989 06  797.
 1989 07  107.
 1989 08  7415·
 1989 09  437.
 1989 10  94.
 1989 11  573.
 1989 12  712.
 1990 01 54
 1990 02 89
 1990 03 68.
 1990 04 9011·
 1990 05 410·
 1990 06 449·
 1990 07 1221.
 1990 08 1912·
 1990 09 1212·
 1990 10 267·
 1990 11 58
 1990 12 725·
 1991 01  237.
 1991 02  94·
 1991 03  506.
 1991 04  864·
 1991 05  45.
 1991 06  94
 1991 07  205.
 1991 08  239.
 1991 09  516.
 1991 10  74·
 1991 11  244·
 1992 01 739·
 1992 02 833.
 1992 03 979·
 1992 04 4410·
 1992 05 4711·
 1992 06 449.
 1992 07 406·
 1992 08 8713·
 1992 09 845·
 1992 10 22.
 1992 11 367.
 1992 12 848·
 1993 01  4716.
 1993 02  5225.
 1993 03  129·
 1993 04  9313·
 1993 05  229·
 1993 06  1411.
 1993 07  1623·
 1993 08  9320·
 1993 09  2511.
 1993 10  305.
 1993 11  2513.
 1993 12  944.
 1994 01 912·
 1994 02 720.
 1994 03 405·
 1994 04 249.
 1994 05 842.
 1994 06 32
 1994 07 8412·
 1994 08 4316·
 1994 09 936.
 1994 10 294.
 1994 11 106·
 1994 12 316.
 1995 01  295.
 1995 02  94·
 1995 03  914.
 1995 04  944.
 1995 05  316.
 1995 06  397.
 1995 07  294.
 1995 08  657·
 1995 09  6212·
 1995 10  155.
 1995 11  494·
 1995 12  03.
 1996 01 95.
 1996 02 5413.
 1996 03 24.
 1996 04 8117·
 1996 05 8614·
 1996 06 316·
 1996 07 626·
 1996 08 144.
 1996 09 293·
 1996 10 294.
 1996 11 305·
 1996 12 314·
 1997 01  41.
 1997 02  269.
 1997 03  3210·
 1997 04  899.
 1997 05  96
 1997 06  1510·
 1997 07  1819·
 1997 08  6918.
 1997 09  191.
 1997 10  387.
 1997 11  635.
 1997 12  782·
 1998 01 111.
 1998 02 655·
 1998 03 6810.
 1998 04 4810.
 1998 05 356.
 1998 06 917.
 1998 07 5814·
 1998 08 344·
 1998 09 792.
 1998 10 354·
 1998 11 834·
 1999 01  209·
 1999 02  554.
 1999 03  395·
 1999 04  203·
 1999 05  110.
 1999 06  14·
 1999 07  7512.
 1999 08  678·
 1999 09  399.
 1999 10  817.
 1999 11  355.
 1999 12  514.
 2000 01 624·
 2000 02 825.
 2000 04 395·
 2000 06 2210·
 2000 07 596.
 2000 08 1713·
 2000 09 3211·
 2000 10 5610.
 2000 11 3912.
 2000 12 247.
 2001 01  8111·
 2001 02  539.
 2001 03  3213·
 2001 04  666·
 2001 06  8217·
 2001 07  379·
 2001 08  965·
 2001 09  313.
 2001 10  541·
 2001 11  613·
 2001 12  113.
 2002 02 321·
 2002 03 40
 2002 04 985.
 2002 05 852·
 2002 06 61.
 2002 07 106.
 2002 08 494.
 2002 09 502.
 2002 10 176.
 2002 11 599·
 2002 12 416·
 2003 01  614.
 2003 02  516·
 2003 03  44·
 2003 04  234.
 2003 05  14.
 2003 06  244.
 2003 07  904.
 2003 08  708.
 2003 09  767.
 2003 10  714·
 2003 11  874·
 2003 12  837.
 2004 01 186·
 2004 02 569.
 2004 03 8810.
 2004 04 874.
 2004 05 849.
 2004 06 6713.
 2004 07 13
 2004 10 332.
 2004 12 542.
 2005 01  176.
 2005 02  66·
 2005 03  976.
 2005 04  378·
 2005 05  442.
 2005 06  36
 2005 08  78
 2005 10  623·
 2005 11  105.
 2005 12  963.
 2006 01 13.
 2006 02 886·
 2006 04 41.
 2006 06 79·
 2006 07 1811·
 2006 08 955·
 2006 09 383·
 2006 11 133.
 2006 12 42.
 2007 01  9111·
 2007 02  516.
 2007 03  826·
 2007 04  599·
 2007 05  70.
 2007 06  415·
 2007 07  817.
 2007 08  88.
 2007 09  990.
 2007 10  872·
 2007 11  122·
 2007 12  21·
 2008 01 493.
 2008 02 115.
 2008 03 365.
 2008 04 1614·
 2008 05 6512.
 2008 06 153.
 2008 07 503·
 2008 08 515·
 2008 09 773·
 2008 10 623.
 2008 11 493.
 2008 12 32
 2009 02  424·
 2009 05  409.
 2009 06  5111·
 2009 07  106.
 2009 08  415.
 2009 09  614·
 2009 10  0
 2009 11  593.
 2009 12  834.
 2010 01 630.
 2010 02 660.
 2010 03 800.
 2010 04 978·
 2010 05 104.
 2010 06 4313·
 2010 07 9912·
 2010 08 414.
 2010 09 89
 2010 10 506.
 2010 11 665·
 2010 12 964·
 2011 01  137·
 2011 02  304·
 2011 03  574.
 2011 04  70
 2011 05  203.
 2011 06  545·
 2011 07  716.
 2011 08  938·
 2011 09  731·
 2011 10  161.
 2011 11  340·
 2011 12  223.
 2012 01 592.
 2012 02 335·
 2012 03 974.
 2012 04 3917·
 2012 05 929.
 2012 06 528.
 2012 07 3512.
 2012 08 517·
 2012 09 1011.
 2012 10 400.
 2012 11 48
 2012 12 89
 2013 01  743.
 2013 02  920.
 2013 03  614.
 2013 04  10
 2013 05  751·
 2013 06  274·
 2013 07  264.
 2013 08  95
 2013 09  234·
 2013 10  895·
 2013 11  1820·
 2013 12  5214.
 2014 01 5820·
 2014 02 4819.
 2014 03 3612.
 2014 04 114.
 2014 05 416·
 2014 06 972·
 2014 07 610.
 2014 08 308.
 2014 09 614·
 2014 10 550·
 2014 11 805·
 2014 12 890·
 2015 01  310·
 2015 02  680·
 2015 03  310·
 2015 04  973.
 2015 05  890.
 2015 06  31.
 2015 07  6110·
 2015 08  845.
 2015 09  971·
 2015 10  552·
 2015 11  944.
 2015 12  6
 2016 01 440.
 2016 02 44
 2016 03 821·
 2016 04 46
 2016 05 415.
 2016 06 133·
 2016 07 9911.
 2016 08 113·
 2016 09 280.
 2016 10 315.
 2016 11 474.
 2016 12 319·
 2017 01  688.
 2017 02  935.


 2017 03  507.
 2017 04  6410.
 2017 05  470·
 2017 06  17
 2017 07  581.
 2017 08  917.
 2017 09  791.
 2017 10  484·
 2017 11  481·
 2017 12  198.
 2018 01 1
 2018 02 564.
 2018 03 191·
 2018 04 803·
 2018 05 78
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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, 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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