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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 2014·
 1976 07 649.
 1976 08 7611.
 1976 09 2813·
 1976 10 1510.
 1976 11 346·
 1976 12 8716.
 1977 01  19·
 1977 02  8817·
 1977 03  1620.
 1977 04  11
 1977 05  8615.
 1977 06  9130.
 1977 07  9017.
 1977 08  6210·
 1977 09  268.
 1977 10  991·
 1977 11  64
 1977 12  768.
 1978 01 9111.
 1978 02 129·
 1978 03 6813.
 1978 04 1814·
 1978 05 7414·
 1978 06 5516.
 1978 07 6015·
 1978 08 7527.
 1978 09 9518.
 1978 10 7916.
 1978 11 2122.
 1978 12 6017.
 1979 01  9813·
 1979 02  598.
 1979 03  5821·
 1979 04  108.
 1979 05  5218.
 1979 06  9527·
 1979 07  220.
 1979 08  8915·
 1979 09  518·
 1979 10  1415.
 1979 11  114.
 1979 12  8512·
 1980 01 1415·
 1980 02 659.
 1980 03 6515·
 1980 04 1016.
 1980 05 8620.
 1980 06 2329.
 1980 07 7222·
 1980 08 225.
 1980 09 3523·
 1980 10 9010.
 1980 11 6213.
 1980 12 259.
 1981 01  5618·
 1981 02  908·
 1981 03  9313·
 1981 04  669·
 1981 05  6817.
 1981 06  7520·
 1981 07  4712.
 1981 08  3715.
 1981 09  1523·
 1981 10  1824.
 1981 11  299.
 1981 12  7815·
 1982 01 6619.
 1982 02 2119.
 1982 03 7227.
 1982 04 5012·
 1982 05 1514.
 1982 06 1025.
 1982 07 3319·
 1982 08 4226.
 1982 09 8227·
 1982 10 3427.
 1982 11 9214.
 1982 12 6721.
 1983 01  1012·
 1983 02  6818·
 1983 03  5622.
 1983 04  6224.
 1983 05  6928.
 1983 06  1421.
 1983 07  5818·
 1983 08  9010.
 1983 09  5314.
 1983 10  97
 1983 11  5436·
 1983 12  3938·
 1984 01 8127·
 1984 02 6716·
 1984 03 2518·
 1984 04 2313.
 1984 05 9616·
 1984 06 9920.
 1984 07 7819.
 1984 08 7915.
 1984 09 7019.
 1984 10 9313·
 1984 11 4412·
 1984 12 6924·
 1985 01  9417.
 1985 02  7712·
 1985 03  8114·
 1985 04  8211·
 1985 05  8911.
 1985 06  9824.
 1985 07  706.
 1985 08  315·
 1985 09  9914.
 1985 10  349.
 1985 11  1813.
 1985 12  54
 1986 01 9212·
 1986 02 8411.
 1986 03 5613.
 1986 04 1317·
 1986 05 649·
 1986 06 74
 1986 07 4119·
 1986 08 968·
 1986 09 3211·
 1986 10 5424·
 1986 11 5416.
 1986 12 178.
 1987 01  4211.
 1987 02  019·
 1987 03  319.
 1987 04  1313·
 1987 05  639·
 1987 06  117.
 1987 07  1816.
 1987 08  4610·
 1987 09  8718.
 1987 10  1414·
 1987 11  5711.
 1987 12  6
 1988 01 3615.
 1988 02 5913.
 1988 03 125·
 1988 04 47·
 1988 05 5213.
 1988 06 2011·
 1988 07 5710·
 1988 08 80
 1988 09 56.
 1988 10 017.
 1988 11 5614.
 1988 12 9411·
 1989 01  8921·
 1989 02  229.
 1989 03  5516.
 1989 04  368.
 1989 05  249.
 1989 06  379·
 1989 07  36
 1989 08  1910.
 1989 09  5317.
 1989 10  2116·
 1989 11  59.
 1989 12  808·
 1990 01 4515·
 1990 02 7511.
 1990 03 945.
 1990 04 8210.
 1990 05 9514·
 1990 06 229.
 1990 07 6011.
 1990 08 1312.
 1990 09 22
 1990 10 1515.
 1990 11 8411·
 1990 12 868.
 1991 01  6913.
 1991 02  288·
 1991 03  7214.
 1991 04  3811.
 1991 05  76·
 1991 06  61
 1991 07  5813·
 1991 08  348·
 1991 09  2915.
 1991 10  4010.
 1991 11  9611·
 1991 12  6020·
 1992 01 5415.
 1992 02 1610·
 1992 03 6914·
 1992 04 2918.
 1992 05 2718·
 1992 06 6426.
 1992 07 8419.
 1992 08 8016·
 1992 09 1714.
 1992 10 8415·
 1992 11 724.
 1992 12 753.
 1993 01  1718.
 1993 02  115.
 1993 03  8916·
 1993 04  312·
 1993 05  4710.
 1993 06  6710·
 1993 07  189.
 1993 08  759.
 1993 09  514.
 1993 10  555·
 1993 11  6516.
 1993 12  3014·
 1994 02 998.
 1994 03 6815.
 1994 04 623·
 1994 05 315·
 1994 06 8320·
 1994 07 307·
 1994 08 649.
 1994 09 664·
 1994 10 251.
 1994 11 914·
 1994 12 550·
 1995 02  483.
 1995 03  663.
 1995 04  273.
 1995 05  40
 1995 06  140.
 1995 07  786·
 1995 08  386·
 1995 09  523.
 1995 10  2710·
 1995 11  536.
 1995 12  518.
 1996 01 467.
 1996 02 760.
 1996 03 126·
 1996 04 144.
 1996 05 58.
 1996 06 7317·
 1996 07 98
 1996 08 43·
 1996 09 353.
 1996 11 557·
 1996 12 8011·
 1997 01  219·
 1997 02  677·
 1997 03  8712·
 1997 04  524.
 1997 05  894·
 1997 06  597·
 1997 07  5610·
 1997 08  345.
 1997 10  619·
 1997 11  92
 1998 01 746.
 1998 02 702.
 1998 03 111.
 1998 04 7313·
 1998 05 81
 1998 06 291·
 1998 07 391.
 1998 08 331.
 1998 09 374·
 1998 10 46.
 1998 11 715.
 1998 12 305.
 1999 01  3213.
 1999 02  16
 1999 03  574·
 1999 04  432·
 1999 06  783.
 1999 07  93.
 1999 08  733·
 1999 09  810·
 1999 10  141.
 1999 11  50
 2000 01 194.
 2000 03 757.
 2000 04 19·
 2000 05 356.
 2000 06 208.
 2000 08 8110.
 2000 10 293.
 2000 11 832·
 2000 12 272·
 2001 01  824.
 2001 02  9
 2001 03  3811·
 2001 04  153·
 2001 05  835.
 2001 06  812·
 2001 07  691.
 2001 08  85
 2001 09  173.
 2001 10  56.
 2001 11  704·
 2001 12  6213.
 2002 01 4012.
 2002 02 723·
 2002 03 607·
 2002 04 96
 2002 05 343·
 2002 06 9211·
 2002 08 844.
 2002 11 6313.
 2003 01  56.
 2003 02  53·
 2003 03  105.
 2003 04  634.
 2003 05  8519·
 2003 06  7413.
 2003 07  33
 2003 08  214.
 2003 09  3010·
 2003 10  854·
 2003 11  7214.
 2003 12  899·
 2004 01 2311·
 2004 02 526·
 2004 03 717·
 2004 05 416·
 2004 07 701.
 2004 08 143·
 2004 09 997·
 2004 10 779·
 2004 11 33.
 2004 12 323·
 2005 01  502·
 2005 02  244.
 2005 03  7713.
 2005 04  944.
 2005 06  432·
 2005 07  312·
 2005 08  766.
 2005 09  157·
 2005 10  247.
 2005 11  740.
 2005 12  58.
 2006 01 306.
 2006 02 591·
 2006 03 536.
 2006 04 968·
 2006 06 410.
 2006 07 456.
 2006 09 942·
 2006 11 67·
 2007 02  241·
 2007 03  08·
 2007 04  463·
 2007 05  179.
 2007 06  43·
 2007 07  682·
 2007 08  8712.
 2007 09  349.
 2007 11  803·
 2007 12  186.
 2008 01 151.
 2008 02 904.
 2008 03 164.
 2008 04 4411·
 2008 05 5611·
 2008 06 427.
 2008 07 010.
 2008 08 66
 2008 09 61
 2008 10 700.
 2008 11 454.
 2008 12 28
 2009 01  57·
 2009 02  825.
 2009 03  8821·
 2009 04  98
 2009 05  88
 2009 06  1010.
 2009 07  933·
 2009 08  7213.
 2009 09  360·
 2009 10  9
 2009 11  47
 2009 12  675.
 2010 01 9911·
 2010 02 6216.
 2010 03 638.
 2010 04 29
 2010 05 530.
 2010 06 7511.
 2010 07 8017.
 2010 08 267·
 2010 09 9810·
 2010 10 807.
 2010 11 5911.
 2010 12 5310·
 2011 01  5911.
 2011 02  333.
 2011 03  8914.
 2011 04  2816.
 2011 05  876.
 2011 06  173.
 2011 07  845·
 2011 08  966.
 2011 09  577.
 2011 10  370·
 2011 11  798·
 2011 12  277.
 2012 01 694·
 2012 02 259.
 2012 03 405.
 2012 04 130·
 2012 05 503.
 2012 06 39
 2012 07 53
 2012 08 747.
 2012 09 483.
 2012 10 5910·
 2012 11 3110.
 2012 12 5514.
 2013 01  414.
 2013 02  937.
 2013 03  139.
 2013 04  246.
 2013 05  27
 2013 06  717.
 2013 07  6011·
 2013 08  7617·
 2013 09  33
 2013 10  510·
 2013 11  625·
 2013 12  300·
 2014 01 95.
 2014 02 152·
 2014 03 303.
 2014 04 301.
 2014 05 30
 2014 06 680·
 2014 07 416·
 2014 08 442.
 2014 09 961.
 2014 10 4311.
 2014 11 45
 2014 12 687.
 2015 01  342.
 2015 02  964·
 2015 03  425.
 2015 04  21
 2015 05  933·
 2015 06  89.
 2015 07  78·
 2015 08  450·
 2015 09  490·
 2015 10  882·
 2015 11  793.
 2015 12  126·
 2016 01 21.
 2016 02 6510.
 2016 03 192.
 2016 04 144·
 2016 05 775.
 2016 06 972.
 2016 07 1710.
 2016 08 7119.


 2016 09 263.
 2016 10 653.
 2016 11 859·
 2016 12 276·
 2017 01  235.
 2017 02  7612.
 2017 03  616·
 2017 04  510.
 2017 05  695.
 2017 06  62
 2017 07  80·
 2017 08  383·
 2017 09  890·
 2017 10  790·
 2017 11  140.
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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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