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 Series Title: Total At Work in Nonagricultural Industries, Unpaid Family Workers, Worked 1-34 Hours, for Economic Reasons: 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 9114.
 1976 07 4
 1976 08 8011.
 1976 09 8913·
 1976 10 2810·
 1976 11 92
 1976 12 8316·
 1977 01  30
 1977 02  4417.
 1977 03  9120·
 1977 04  07·
 1977 05  8215·
 1977 06  8930·
 1977 07  8317.
 1977 08  4310·
 1977 09  90
 1977 10  391·
 1977 11  739.
 1977 12  508·
 1978 01 2211·
 1978 02 94
 1978 03 9513.
 1978 04 8414·
 1978 05 7214.
 1978 06 7916.
 1978 07 415·
 1978 08 3327.
 1978 09 6018.
 1978 10 4516·
 1978 11 8222.
 1978 12 1017·
 1979 01  3013·
 1979 02  67
 1979 03  3621·
 1979 04  528.
 1979 05  5118·
 1979 06  4627.
 1979 07  9820·
 1979 08  2315.
 1979 09  188·
 1979 10  715.
 1979 11  234.
 1979 12  1112.
 1980 01 4815·
 1980 02 09.
 1980 03 9515·
 1980 04 2916·
 1980 05 8720.
 1980 06 029.
 1980 07 1922.
 1980 08 1325·
 1980 09 423.
 1980 10 910·
 1980 11 2613.
 1980 12 289.
 1981 01  9218.
 1981 02  528·
 1981 03  7513.
 1981 04  61
 1981 05  7117·
 1981 06  7820.
 1981 07  4512.
 1981 08  2515·
 1981 09  8523·
 1981 10  6424·
 1981 11  459·
 1981 12  5715·
 1982 01 319.
 1982 02 1019·
 1982 03 527·
 1982 04 2212.
 1982 05 1914.
 1982 06 4025·
 1982 07 8319·
 1982 08 626·
 1982 09 5327·
 1982 10 627.
 1982 11 5914.
 1982 12 2321.
 1983 01  4912·
 1983 02  8318·
 1983 03  4122·
 1983 04  1024.
 1983 05  7528·
 1983 06  7121.
 1983 07  6018·
 1983 08  3010.
 1983 09  2614·
 1983 10  965.
 1983 11  7336.
 1983 12  7238·
 1984 01 2127.
 1984 02 816.
 1984 03 6118·
 1984 04 4813·
 1984 05 416.
 1984 06 8220·
 1984 07 3119·
 1984 08 9615·
 1984 09 4419.
 1984 10 1913·
 1984 11 1512.
 1984 12 7824·
 1985 01  3617.
 1985 02  4412·
 1985 03  6914.
 1985 04  8411.
 1985 05  9811.
 1985 06  824.
 1985 07  75
 1985 08  255·
 1985 09  7514.
 1985 10  869.
 1985 11  4013.
 1985 12  408.
 1986 01 3612·
 1986 02 7811·
 1986 03 9513·
 1986 04 9117·
 1986 05 749.
 1986 06 108·
 1986 07 9719·
 1986 08 668·
 1986 09 1011.
 1986 10 3324.
 1986 11 2816.
 1986 12 798·
 1987 01  8711·
 1987 02  2119·
 1987 03  9419.
 1987 04  6713·
 1987 05  749.
 1987 06  747.
 1987 07  2616·
 1987 08  9310·
 1987 09  6618·
 1987 10  1914.
 1987 11  8211·
 1987 12  456.
 1988 01 8215.
 1988 02 613·
 1988 03 4325.
 1988 04 357.
 1988 05 6513.
 1988 06 1011·
 1988 07 1610·
 1988 08 38.
 1988 09 866.
 1988 10 3117·
 1988 11 3314·
 1988 12 1011·
 1989 01  3721·
 1989 02  969·
 1989 03  4916·
 1989 04  448.
 1989 05  399·
 1989 06  539·
 1989 07  479·
 1989 08  1910·
 1989 09  3517·
 1989 10  8016·
 1989 11  339·
 1989 12  728.
 1990 01 9415.
 1990 02 7511·
 1990 03 405.
 1990 04 6610.
 1990 05 1114.
 1990 06 659.
 1990 07 2211.
 1990 08 8912·
 1990 09 57·
 1990 10 015·
 1990 11 6411.
 1990 12 548.
 1991 01  2013.
 1991 02  558.
 1991 03  7014.
 1991 04  9911.
 1991 05  256·
 1991 06  305.
 1991 07  7213.
 1991 08  878·
 1991 09  1415·
 1991 10  5210·
 1991 11  2811.
 1991 12  520·
 1992 01 715·
 1992 02 7010·
 1992 03 1814.
 1992 04 6718.
 1992 05 4718·
 1992 06 6026.
 1992 07 5019·
 1992 08 1016.
 1992 09 414.
 1992 10 2215·
 1992 11 554.
 1992 12 973.
 1993 01  7118·
 1993 02  8115·
 1993 03  9016.
 1993 04  1612.
 1993 05  6810·
 1993 06  8910.
 1993 07  369.
 1993 08  81
 1993 09  404·
 1993 10  205.
 1993 11  016.
 1993 12  2814·
 1994 02 548.
 1994 03 7515·
 1994 04 133.
 1994 05 225·
 1994 06 620.
 1994 07 797·
 1994 08 339.
 1994 09 494·
 1994 10 151.
 1994 11 824·
 1994 12 410.
 1995 02  233.
 1995 03  24
 1995 04  603.
 1995 05  442.
 1995 06  81
 1995 07  2
 1995 08  146.
 1995 09  723.
 1995 10  8610.
 1995 11  456.
 1995 12  688·
 1996 01 847·
 1996 02 270.
 1996 03 716.
 1996 04 744·
 1996 05 608.
 1996 06 1617.
 1996 07 244.
 1996 08 63.
 1996 09 73·
 1996 11 917.
 1996 12 7311·
 1997 01  65
 1997 02  577.
 1997 03  1512.
 1997 04  134.
 1997 05  76
 1997 06  667·
 1997 07  7610.
 1997 08  625.
 1997 10  909.
 1997 11  160.
 1998 01 876·
 1998 02 652.
 1998 03 821·
 1998 04 1413.
 1998 05 859.
 1998 06 911·
 1998 07 521·
 1998 08 911.
 1998 09 344.
 1998 10 346·
 1998 11 265.
 1998 12 55·
 1999 01  2113.
 1999 02  130.
 1999 03  554·
 1999 04  36
 1999 06  593·
 1999 07  723.
 1999 08  133·
 1999 09  910·
 1999 10  871.
 1999 11  816.
 2000 01 14.
 2000 03 2
 2000 04 679·
 2000 05 336.
 2000 06 448·
 2000 08 2510.
 2000 10 873·
 2000 11 482·
 2000 12 932.
 2001 01  434.
 2001 02  59
 2001 03  7011.
 2001 04  243.
 2001 05  625.
 2001 06  22
 2001 07  681.
 2001 08  363.
 2001 09  133·
 2001 10  396·
 2001 11  36
 2001 12  5513.
 2002 01 5312·
 2002 02 983·
 2002 03 947·
 2002 04 319.
 2002 05 633.
 2002 06 1111.
 2002 08 854.
 2002 11 4013.
 2003 01  526·
 2003 02  163.
 2003 03  78
 2003 04  824.
 2003 05  4919·
 2003 06  7713.
 2003 07  685.
 2003 08  834.
 2003 09  1210.
 2003 10  804.
 2003 11  7414·
 2003 12  939.
 2004 01 2211·
 2004 02 406.
 2004 03 40
 2004 05 876.
 2004 07 861.
 2004 08 933·
 2004 09 357.
 2004 10 659.
 2004 11 363·
 2004 12 33.
 2005 01  542·
 2005 02  544.
 2005 03  2813.
 2005 04  584·
 2005 06  152·
 2005 07  32·
 2005 08  436.
 2005 09  717·
 2005 10  627.
 2005 11  880.
 2005 12  908.
 2006 01 786·
 2006 02 651.
 2006 03 106·
 2006 04 988.
 2006 06 4510.
 2006 07 18
 2006 09 932·
 2006 11 257.
 2007 02  571·
 2007 03  408.
 2007 04  883.
 2007 05  539.
 2007 06  293.
 2007 07  752·
 2007 08  7012·
 2007 09  879.
 2007 11  973·
 2007 12  926·
 2008 01 401.
 2008 02 614·
 2008 03 254·
 2008 04 8611.
 2008 05 2411·
 2008 06 297.
 2008 07 210.
 2008 08 753·
 2008 09 713·
 2008 10 750·
 2008 11 394.
 2008 12 48·
 2009 01  577·
 2009 02  45·
 2009 03  7421.
 2009 04  410·
 2009 05  821.
 2009 06  4910·
 2009 07  713.
 2009 08  8213·
 2009 09  730.
 2009 10  665.
 2009 11  176·
 2009 12  45
 2010 01 7811.
 2010 02 3616.
 2010 03 268·
 2010 04 743.
 2010 05 740·
 2010 06 6611·
 2010 07 3417.
 2010 08 387.
 2010 09 6110.
 2010 10 887.
 2010 11 611.
 2010 12 3210·
 2011 01  6411·
 2011 02  58
 2011 03  2814·
 2011 04  7516·
 2011 05  346.
 2011 06  593·
 2011 07  155.
 2011 08  106.
 2011 09  47
 2011 10  960·
 2011 11  38·
 2011 12  77.
 2012 01 14.
 2012 02 29.
 2012 03 555·
 2012 04 610·
 2012 05 243·
 2012 06 333.
 2012 07 604·
 2012 08 897.
 2012 09 653.
 2012 10 7010·
 2012 11 3110.
 2012 12 3714·
 2013 01  994.
 2013 02  217·
 2013 03  49·
 2013 04  746·
 2013 05  284·
 2013 06  177.
 2013 07  4411·
 2013 08  9317.
 2013 09  761.
 2013 10  140.
 2013 11  385.
 2013 12  140·
 2014 01 945·
 2014 02 952.
 2014 03 993·
 2014 04 811.
 2014 05 577.
 2014 06 650·
 2014 07 6516·
 2014 08 622.
 2014 09 661.
 2014 10 5711·
 2014 11 980.
 2014 12 547.
 2015 01  452.
 2015 02  274·
 2015 03  875·
 2015 04  737·
 2015 05  47
 2015 06  579·
 2015 07  448.
 2015 08  650·
 2015 09  450.
 2015 10  53
 2015 11  83·
 2015 12  996.
 2016 01 401.
 2016 02 4810.
 2016 03 412.
 2016 04 68
 2016 05 585·
 2016 06 972·
 2016 07 3110.
 2016 08 9219·
 2016 09 483·
 2016 10 823.
 2016 11 929.
 2016 12 166.
 2017 01  885·
 2017 02  1112.
 2017 03  60


 2017 04  70·
 2017 05  765·
 2017 06  143.
 2017 07  990·
 2017 08  613·
 2017 09  380.
 2017 10  48
 2017 11  960·
 2017 12  960.
 2018 01 2410·
 2018 02 96
 2018 03 66
 2018 04 578.
 2018 05 110.
 2018 06 63
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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: Total At Work in Nonagricultural Industries, Unpaid Family Workers, Worked 1-34 Hours, for Economic Reasons: 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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