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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 16-19 years, Men: NSA
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 1976 06 1530.
 1976 07 4529.
 1976 08 9833.
 1976 09 8417·
 1976 10 3618.
 1976 11 888·
 1976 12 7914·
 1977 01  7410·
 1977 02  2317.
 1977 03  3024·
 1977 04  6030.
 1977 05  6325·
 1977 06  2631·
 1977 07  5134·
 1977 08  5525.
 1977 09  9411·
 1977 10  2216·
 1977 11  6013.
 1977 12  115.
 1978 01 3820.
 1978 02 1022.
 1978 03 8726.
 1978 04 6218·
 1978 05 8724.
 1978 06 1626.
 1978 07 8930·
 1978 08 2632.
 1978 09 6210.
 1978 10 9110.
 1978 11 4710.
 1978 12 514.
 1979 01  617.
 1979 02  920.
 1979 03  6916·
 1979 04  3724.
 1979 05  8825.
 1979 06  7125.
 1979 07  8642.
 1979 08  8624.
 1979 09  419·
 1979 10  310·
 1979 11  5414·
 1979 12  3813·
 1980 01 7118.
 1980 02 5412.
 1980 03 5612.
 1980 04 815·
 1980 05 3426·
 1980 06 132·
 1980 07 9735·
 1980 08 3231·
 1980 09 6230·
 1980 10 4330.
 1980 11 1020.
 1980 12 7428.
 1981 01  4933.
 1981 02  717.
 1981 03  5222.
 1981 04  2119·
 1981 05  1414·
 1981 06  4222.
 1981 07  318·
 1981 08  8714.
 1981 09  213·
 1981 10  2314.
 1981 11  7010.
 1981 12  109·
 1982 01 827.
 1982 02 5218.
 1982 03 8619·
 1982 04 5125·
 1982 05 4823·
 1982 06 5329·
 1982 07 632·
 1982 08 026·
 1982 09 1810·
 1982 10 7818·
 1982 11 1211.
 1982 12 6916·
 1983 01  3718·
 1983 02  123.
 1983 03  1222.
 1983 04  968.
 1983 05  7521·
 1983 06  2225·
 1983 07  3621.
 1983 08  4325.
 1983 09  2517.
 1983 10  6821.
 1983 11  4228.
 1983 12  025.
 1984 01 620.
 1984 02 8822·
 1984 03 1023.
 1984 04 7820.
 1984 05 6326.
 1984 06 5831.
 1984 07 4830·
 1984 08 1521.
 1984 09 6518.
 1984 10 7916.
 1984 11 8718·
 1984 12 7518.
 1985 01  615.
 1985 02  7524·
 1985 03  8420·
 1985 04  4514·
 1985 05  59.
 1985 06  9712.
 1985 07  2115.
 1985 08  3814·
 1985 09  62.
 1985 10  214·
 1985 11  311.
 1985 12  934.
 1986 01 787·
 1986 02 471.
 1986 03 643·
 1986 04 718.
 1986 05 161·
 1986 06 07·
 1986 07 5921.
 1986 08 6126.
 1986 09 386·
 1986 10 309·
 1986 11 6910.
 1986 12 766.
 1987 01  89
 1987 02  145.
 1987 03  36.
 1987 04  546·
 1987 05  383.
 1987 06  519·
 1987 07  9113.
 1987 08  5721.
 1987 09  7912.
 1987 10  6710.
 1987 11  905.
 1987 12  733.
 1988 01 3111·
 1988 02 125·
 1988 03 811.
 1988 04 167.
 1988 05 381·
 1988 06 6230·
 1988 07 723.
 1988 08 2324.
 1988 09 7013.
 1988 10 177·
 1988 11 939·
 1988 12 576.
 1989 01  217.
 1989 02  213.
 1989 03  25.
 1989 04  614·
 1989 05  910.
 1989 06  687·
 1989 07  817.
 1989 08  8315.
 1989 09  79
 1989 10  90
 1989 11  353.
 1989 12  262·
 1990 01 02.
 1990 02 697.
 1990 03 968.
 1990 04 9711·
 1990 05 6610.
 1990 06 309.
 1990 07 2221.
 1990 08 8512·
 1990 09 9712.
 1990 10 237.
 1990 11 937.
 1990 12 2
 1991 01  36
 1991 02  244.
 1991 03  176·
 1991 04  874.
 1991 05  525.
 1991 06  335·
 1991 07  255·
 1991 08  19·
 1991 09  406.
 1991 10  754·
 1991 11  734.
 1992 01 349.
 1992 02 193.
 1992 03 29.
 1992 04 4410.
 1992 05 9811.
 1992 06 339·
 1992 07 886·
 1992 08 4413·
 1992 09 315·
 1992 10 512.
 1992 11 337·
 1992 12 48.
 1993 01  9516·
 1993 02  6825·
 1993 03  649·
 1993 04  8113·
 1993 05  799.
 1993 06  211.
 1993 07  3023.
 1993 08  5820·
 1993 09  9611·
 1993 10  975.
 1993 11  613.
 1993 12  394.
 1994 01 832·
 1994 02 230·
 1994 03 955·
 1994 04 589.
 1994 05 42·
 1994 06 748·
 1994 07 1912.
 1994 08 7116·
 1994 09 456.
 1994 10 694.
 1994 11 316.
 1994 12 596.
 1995 01  215.
 1995 02  524.
 1995 03  54.
 1995 04  294.
 1995 05  696.
 1995 06  927.
 1995 07  424·
 1995 08  137·
 1995 09  5212.
 1995 10  845.
 1995 11  68
 1995 12  683.
 1996 01 575·
 1996 02 4613.
 1996 03 324.
 1996 04 7417.
 1996 05 9814.
 1996 06 2316.
 1996 07 106.
 1996 08 394.
 1996 09 13
 1996 10 844.
 1996 11 2
 1996 12 944·
 1997 01  641.
 1997 02  239.
 1997 03  3410·
 1997 04  969·
 1997 05  409.
 1997 06  5810.
 1997 07  5619.
 1997 08  2618·
 1997 09  531.
 1997 10  357·
 1997 11  44
 1997 12  922·
 1998 01 401·
 1998 02 235.
 1998 03 9810·
 1998 04 2510.
 1998 05 666.
 1998 06 157.
 1998 07 4314.
 1998 08 814·
 1998 09 182·
 1998 10 304.
 1998 11 304·
 1999 01  429.
 1999 02  94·
 1999 03  145.
 1999 04  333.
 1999 05  150.
 1999 06  764·
 1999 07  3412.
 1999 08  55
 1999 09  319.
 1999 10  837·
 1999 11  865.
 1999 12  194·
 2000 01 474.
 2000 02 175·
 2000 04 87
 2000 06 7710·
 2000 07 456.
 2000 08 9213·
 2000 09 8311·
 2000 10 310·
 2000 11 3212.
 2000 12 457·
 2001 01  4311.
 2001 02  999·
 2001 03  3813.
 2001 04  396·
 2001 06  6017.
 2001 07  88
 2001 08  215·
 2001 09  623.
 2001 10  541·
 2001 11  233·
 2001 12  623·
 2002 02 281.
 2002 03 693.
 2002 04 785.
 2002 05 682·
 2002 06 721·
 2002 07 746·
 2002 08 544.
 2002 09 702·
 2002 10 606.
 2002 11 639.
 2002 12 756·
 2003 01  26
 2003 02  786.
 2003 03  55
 2003 04  934·
 2003 05  174.
 2003 06  404·
 2003 07  954·
 2003 08  838.
 2003 09  487.
 2003 10  834·
 2003 11  524·
 2003 12  457·
 2004 01 536·
 2004 02 709.
 2004 03 1910·
 2004 04 54·
 2004 05 889.
 2004 06 9013·
 2004 07 17
 2004 10 122.
 2004 12 342·
 2005 01  546.
 2005 02  886·
 2005 03  436·
 2005 04  988·
 2005 05  22.
 2005 06  35.
 2005 08  98
 2005 10  123·
 2005 11  955.
 2005 12  55
 2006 01 23·
 2006 02 326.
 2006 04 221.
 2006 06 639.
 2006 07 511·
 2006 08 405·
 2006 09 963·
 2006 11 723·
 2006 12 842.
 2007 01  4211·
 2007 02  546.
 2007 03  516·
 2007 04  379.
 2007 05  710·
 2007 06  6015·
 2007 07  9417·
 2007 08  928.
 2007 09  820.
 2007 10  12·
 2007 11  192.
 2007 12  971·
 2008 01 583.
 2008 02 905·
 2008 03 725.
 2008 04 2914.
 2008 05 512.
 2008 06 653·
 2008 07 213·
 2008 08 885·
 2008 09 553·
 2008 10 89
 2008 11 613.
 2008 12 996·
 2009 02  64
 2009 05  509·
 2009 06  1011.
 2009 07  136.
 2009 08  155·
 2009 09  604.
 2009 10  132.
 2009 11  5
 2009 12  134·
 2010 01 580·
 2010 02 390.
 2010 03 750·
 2010 04 908·
 2010 05 74·
 2010 06 8213·
 2010 07 5012.
 2010 08 34.
 2010 09 941·
 2010 10 616.
 2010 11 785·
 2010 12 344·
 2011 01  337.
 2011 02  204·
 2011 03  364·
 2011 04  897.
 2011 05  61
 2011 06  295.
 2011 07  246·
 2011 08  08.
 2011 09  401.
 2011 10  821.
 2011 11  680·
 2011 12  243·
 2012 01 602.
 2012 02 975·
 2012 03 174.
 2012 04 4117.
 2012 05 339.
 2012 06 198·
 2012 07 4712.
 2012 08 607.
 2012 09 9611.
 2012 10 170.
 2012 11 593·
 2012 12 113.
 2013 01  133·
 2013 02  850.
 2013 03  784.
 2013 04  511.
 2013 05  711.
 2013 06  424·
 2013 07  544.
 2013 08  627.
 2013 09  84
 2013 10  335·
 2013 11  6420.
 2013 12  5014.
 2014 01 9020·
 2014 02 2719·
 2014 03 612·
 2014 04 474.
 2014 05 506·
 2014 06 172.
 2014 07 610.
 2014 08 108·
 2014 09 544.
 2014 10 230·
 2014 11 165.
 2014 12 200.
 2015 01  130·
 2015 02  890·
 2015 03  100·
 2015 04  843·
 2015 05  670.
 2015 06  841·
 2015 07  8910.
 2015 08  34
 2015 09  771·
 2015 10  22·
 2015 11  774.
 2015 12  260.
 2016 01 320.
 2016 02 631.
 2016 03 271·
 2016 04 422·
 2016 05 445.
 2016 06 103.
 2016 07 1211.
 2016 08 883.
 2016 09 520·
 2016 10 145.
 2016 11 334·
 2016 12 969.
 2017 01  188.
 2017 02  665·
 2017 03  167.
 2017 04  2410·
 2017 05  300.


 2017 06  880·
 2017 07  111.
 2017 08  517.
 2017 09  2
 2017 10  234·
 2017 11  931.
 2017 12  868·
 2018 01 719.
 2018 02 414.
 2018 03 641.
 2018 04 593.
 2018 05 993.
 2018 06 343·
 2018 07 470·
 2018 08 28
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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

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