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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 45-54 years, Men: NSA
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 1976 06 42
 1976 07 9713·
 1976 08 732·
 1976 09 24
 1976 10 261.
 1976 12 581.
 1977 01  11.
 1977 02  66
 1977 03  44
 1977 04  861·
 1977 05  986·
 1977 06  755·
 1977 07  494.
 1977 08  631.
 1977 09  784.
 1977 10  972·
 1977 11  143.
 1977 12  951.
 1978 01 792·
 1978 02 992·
 1978 03 402.
 1978 04 151·
 1978 05 623.
 1978 06 753·
 1978 07 537·
 1978 08 79
 1978 09 172.
 1978 10 46
 1978 12 31.
 1979 01  682·
 1979 03  564·
 1979 06  550·
 1979 07  660·
 1979 08  891·
 1979 09  173.
 1979 10  715.
 1979 11  411·
 1979 12  733.
 1980 01 634·
 1980 02 882·
 1980 03 55
 1980 04 781.
 1980 06 82
 1980 07 260·
 1980 08 570·
 1980 09 853.
 1980 10 871.
 1980 11 293.
 1980 12 233.
 1981 01  12.
 1981 02  154·
 1981 03  653.
 1981 04  54
 1981 05  572.
 1981 08  294·
 1981 10  306·
 1981 11  741·
 1981 12  102·
 1982 01 183.
 1982 02 414.
 1982 03 355·
 1982 04 413.
 1982 05 943·
 1982 06 441.
 1982 07 114.
 1982 08 5811·
 1982 09 953.
 1982 10 77.
 1982 11 3
 1982 12 913·
 1983 01  843.
 1983 02  252.
 1983 03  364.
 1983 04  983.
 1983 05  502·
 1983 06  174·
 1983 07  614.
 1983 08  603.
 1983 09  32·
 1983 10  266·
 1983 11  535.
 1983 12  833·
 1984 02 842·
 1984 03 223.
 1984 04 135·
 1984 05 15.
 1984 06 548.
 1984 07 992·
 1984 08 665·
 1984 09 683·
 1984 10 26.
 1984 11 774·
 1984 12 629.
 1985 01  662.
 1985 02  402.
 1985 04  984·
 1985 05  764.
 1985 06  38.
 1985 07  65.
 1985 08  345·
 1985 09  102.
 1985 10  114·
 1985 11  64
 1985 12  774·
 1986 03 882.
 1986 04 442·
 1986 05 05·
 1986 06 46
 1986 07 612·
 1986 08 862·
 1986 09 28
 1986 10 874·
 1987 02  41.
 1987 03  433·
 1987 04  878.
 1987 05  68
 1987 06  18
 1987 07  467.
 1987 08  376·
 1987 09  836.
 1987 10  282.
 1987 12  532.
 1988 01 692·
 1988 02 517.
 1988 03 84
 1988 04 443.
 1988 05 948.
 1988 06 173.
 1988 07 622.
 1988 08 261·
 1988 09 50
 1988 10 491.
 1988 11 638.
 1988 12 324·
 1989 01  12.
 1989 02  424.
 1989 03  117.
 1989 04  189.
 1989 05  341.
 1989 06  162·
 1989 07  572.
 1989 08  643·
 1989 09  627·
 1989 10  132·
 1989 11  761.
 1989 12  792.
 1990 01 221.
 1990 03 3
 1990 04 692.
 1990 05 94
 1990 06 791·
 1990 07 812·
 1990 08 611.
 1990 09 644.
 1990 10 191.
 1990 11 65
 1990 12 33.
 1991 03  733·
 1991 05  565.
 1991 06  04.
 1991 07  694·
 1991 08  265·
 1991 09  283.
 1991 10  54
 1991 11  611.
 1991 12  563.
 1992 01 96
 1992 02 231·
 1992 04 41.
 1992 05 18
 1992 07 511·
 1992 08 246·
 1992 09 481.
 1992 11 956.
 1992 12 33·
 1993 01  32·
 1993 02  684·
 1993 03  926·
 1993 04  914.
 1993 05  283.
 1993 06  652·
 1993 07  432·
 1993 08  794·
 1993 09  936·
 1993 10  656·
 1993 11  33·
 1993 12  536.
 1994 01 187.
 1994 02 17
 1994 03 543·
 1994 04 273·
 1994 06 472.
 1994 07 970·
 1994 08 31·
 1994 09 38
 1994 10 495.
 1994 11 65·
 1994 12 816·
 1995 01  506·
 1995 02  178·
 1995 03  686·
 1995 04  454.
 1995 05  511.
 1995 06  727.
 1995 07  352·
 1995 08  7711.
 1995 09  522.
 1995 10  575.
 1995 11  81
 1995 12  83
 1996 01 931.
 1996 02 420.
 1996 03 70.
 1996 04 954·
 1996 05 36
 1996 06 204.
 1996 07 395.
 1996 08 693.
 1996 09 69
 1996 10 114.
 1996 11 274.
 1996 12 877.
 1997 01  56·
 1997 02  59
 1997 03  453.
 1997 04  575.
 1997 05  826·
 1997 06  334.
 1997 07  966·
 1997 08  96.
 1997 09  623·
 1997 10  275·
 1997 11  37·
 1997 12  995.
 1998 01 343·
 1998 02 603·
 1998 03 173.
 1998 05 112·
 1998 06 103.
 1998 07 767.
 1998 08 155.
 1998 09 506·
 1998 10 29
 1998 11 465.
 1998 12 956·
 1999 01  482.
 1999 03  523.
 1999 05  620·
 1999 06  842·
 1999 07  627·
 1999 08  693.
 1999 09  437·
 1999 10  323·
 2000 03 733.
 2000 04 923·
 2000 05 353.
 2000 06 143.
 2000 07 873.
 2000 08 593.
 2000 09 62·
 2000 10 313.
 2000 11 388·
 2000 12 32
 2001 01  503·
 2001 02  82.
 2001 03  812·
 2001 04  02·
 2001 05  872.
 2001 06  963.
 2001 07  973·
 2001 08  765.
 2001 09  606·
 2001 10  695·
 2001 11  945.
 2001 12  975.
 2002 01 397·
 2002 02 296·
 2002 03 37.
 2002 04 275.
 2002 05 174·
 2002 06 04·
 2002 07 812.
 2002 09 527·
 2002 10 159·
 2002 11 337·
 2002 12 107·
 2003 02  87
 2003 03  761·
 2003 04  41.
 2003 05  95
 2003 06  698·
 2003 07  696.
 2003 08  1310.
 2003 09  696.
 2003 10  6113.
 2003 11  8813·
 2003 12  849·
 2004 01 898·
 2004 02 5010·
 2004 03 536.
 2004 04 707.
 2004 05 355.
 2004 06 502·
 2004 07 86.
 2004 08 444.
 2004 09 15
 2004 10 999·
 2004 11 216·
 2004 12 86·
 2005 01  6111·
 2005 02  596.
 2005 03  889·
 2005 04  865.
 2005 06  280.
 2005 07  196·
 2005 08  265.
 2005 09  302·
 2005 10  992·
 2006 01 903·
 2006 02 815·
 2006 03 143.
 2006 04 8010·
 2006 05 123.
 2006 06 210·
 2006 10 404.
 2006 11 3
 2006 12 474.
 2007 01  414.
 2007 02  311.
 2007 03  248·
 2007 04  834·
 2007 05  59
 2007 06  407.
 2007 07  2511.
 2007 08  3311.
 2007 09  203.
 2007 11  403·
 2007 12  13
 2008 01 342.
 2008 02 93
 2008 03 332·
 2008 04 206.
 2008 05 509.
 2008 06 737.
 2008 07 444.
 2008 08 13·
 2008 09 684.
 2008 10 774.
 2009 02  230.
 2009 05  405·
 2009 06  25·
 2009 07  515.
 2009 08  460.
 2009 09  414·
 2009 10  894.
 2009 11  630·
 2009 12  120.
 2010 01 380.
 2010 02 923·
 2010 03 83.
 2010 04 493.
 2010 05 86
 2010 06 991·
 2010 07 5
 2010 08 53.
 2010 09 670·
 2010 10 230.
 2010 11 970·
 2010 12 563·
 2011 01  880·
 2011 02  23.
 2011 03  553·
 2011 04  30.
 2011 05  814.
 2011 06  996·
 2011 07  727·
 2011 08  724.
 2011 09  24·
 2011 10  10·
 2011 11  67
 2011 12  114.
 2012 01 3310.
 2012 02 2212.
 2012 03 855·
 2012 04 977.
 2012 05 805·
 2012 06 995.
 2012 07 946.
 2012 08 313.
 2012 09 757·
 2012 10 95
 2012 11 896.
 2012 12 3710·
 2013 01  753.
 2013 02  983.
 2013 03  8910·
 2013 04  667·
 2013 05  6110·
 2013 06  224·
 2013 07  390·
 2013 08  943.
 2013 09  404.
 2013 10  410·
 2013 11  63·
 2013 12  200·
 2014 01 446.
 2014 02 67.
 2014 03 853·
 2014 04 700.
 2014 05 290·
 2014 06 170·
 2014 07 972·
 2014 08 952·
 2014 09 782·
 2014 10 492.
 2014 11 830.
 2014 12 700.
 2015 01  951·
 2015 02  420·
 2015 03  150.
 2015 04  950.
 2015 05  140.
 2015 06  560.
 2015 07  850·
 2015 08  961·
 2015 09  911.
 2015 10  811.
 2015 11  141·
 2015 12  234.
 2016 01 73.
 2016 02 290.
 2016 03 440·
 2016 04 51
 2016 05 694.
 2016 06 380.
 2016 07 460·
 2016 08 823.
 2016 09 90·
 2016 10 710·
 2016 11 144.
 2016 12 390.


 2017 01  840·
 2017 02  160·
 2017 03  662.
 2017 04  754.
 2017 05  744.
 2017 06  867.
 2017 07  467.
 2017 08  63
 2017 09  884.
 2017 10  180.
 2017 11  252.
 2017 12  5
 2018 01 55
 2018 02 762.
 2018 03 960.
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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, 45-54 years, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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