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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 2530·
 1976 07 7329·
 1976 08 2433·
 1976 09 6617·
 1976 10 1618·
 1976 11 888·
 1976 12 214.
 1977 01  610.
 1977 02  2917.
 1977 03  5724·
 1977 04  3830·
 1977 05  025·
 1977 06  1531.
 1977 07  6334.
 1977 08  4325.
 1977 09  9411·
 1977 10  4916.
 1977 11  1213.
 1977 12  5715.
 1978 01 5620.
 1978 02 3322.
 1978 03 3526·
 1978 04 4118·
 1978 05 8024.
 1978 06 9026·
 1978 07 9030.
 1978 08 8432.
 1978 09 8610.
 1978 10 7210·
 1978 11 5810·
 1978 12 9914·
 1979 01  1717·
 1979 02  5420·
 1979 03  4516·
 1979 04  2324.
 1979 05  4325.
 1979 06  3625.
 1979 07  8342.
 1979 08  1924.
 1979 09  5819.
 1979 10  4410·
 1979 11  3014.
 1979 12  7613·
 1980 01 8118·
 1980 02 2812·
 1980 03 6512·
 1980 04 615·
 1980 05 5626·
 1980 06 6432.
 1980 07 9735.
 1980 08 4731·
 1980 09 5330.
 1980 10 5130.
 1980 11 5720·
 1980 12 6228.
 1981 01  6533.
 1981 02  1617·
 1981 03  122.
 1981 04  3919·
 1981 05  1114·
 1981 06  822·
 1981 07  1118.
 1981 08  9114.
 1981 09  3613·
 1981 10  314·
 1981 11  9410.
 1981 12  559·
 1982 01 97·
 1982 02 218·
 1982 03 8119·
 1982 04 9525.
 1982 05 2523·
 1982 06 3029·
 1982 07 2932·
 1982 08 9826·
 1982 09 110.
 1982 10 3718·
 1982 11 1911·
 1982 12 7816·
 1983 01  8318.
 1983 02  9823·
 1983 03  5922.
 1983 04  718·
 1983 05  3921.
 1983 06  1525.
 1983 07  8021·
 1983 08  4225·
 1983 09  6317·
 1983 10  1221·
 1983 11  3828·
 1983 12  7825.
 1984 01 7620·
 1984 02 4022·
 1984 03 1623·
 1984 04 9220·
 1984 05 2026·
 1984 06 7431·
 1984 07 1930·
 1984 08 2121.
 1984 09 6518·
 1984 10 1416·
 1984 11 8018.
 1984 12 2918.
 1985 01  615·
 1985 02  8724·
 1985 03  5520·
 1985 04  314.
 1985 05  609.
 1985 06  4112.
 1985 07  2515·
 1985 08  5714.
 1985 09  742·
 1985 10  544.
 1985 11  9811·
 1985 12  29
 1986 01 147.
 1986 02 251.
 1986 03 53.
 1986 04 808·
 1986 05 771.
 1986 06 797·
 1986 07 321.
 1986 08 026.
 1986 09 806.
 1986 10 679·
 1986 11 7310·
 1986 12 06·
 1987 01  683.
 1987 02  645.
 1987 03  226·
 1987 04  206·
 1987 05  113.
 1987 06  729·
 1987 07  8113.
 1987 08  2121·
 1987 09  112·
 1987 10  1410·
 1987 11  85.
 1987 12  923.
 1988 01 5911·
 1988 02 425·
 1988 03 831·
 1988 04 457·
 1988 05 29
 1988 06 3030·
 1988 07 143.
 1988 08 1924·
 1988 09 7913.
 1988 10 807·
 1988 11 339.
 1988 12 766·
 1989 01  47.
 1989 02  1713.
 1989 03  95
 1989 04  514.
 1989 05  2410.
 1989 06  907.
 1989 07  827·
 1989 08  1715.
 1989 09  817·
 1989 10  764·
 1989 11  13.
 1989 12  522.
 1990 01 452.
 1990 02 757·
 1990 03 848.
 1990 04 7111.
 1990 05 1110.
 1990 06 129·
 1990 07 8821.
 1990 08 6312.
 1990 09 9812·
 1990 10 377·
 1990 11 937·
 1990 12 415.
 1991 01  497·
 1991 02  274.
 1991 03  7
 1991 04  434.
 1991 05  345.
 1991 06  81
 1991 07  625.
 1991 08  319·
 1991 09  476.
 1991 10  254·
 1991 11  134.
 1992 01 939·
 1992 02 73.
 1992 03 99.
 1992 04 4310·
 1992 05 4211·
 1992 06 589·
 1992 07 86·
 1992 08 5813.
 1992 09 175.
 1992 10 692·
 1992 11 247·
 1992 12 908.
 1993 01  8016·
 1993 02  3625·
 1993 03  819·
 1993 04  9513.
 1993 05  189·
 1993 06  7511.
 1993 07  2923·
 1993 08  5520.
 1993 09  4511.
 1993 10  33
 1993 11  4513.
 1993 12  774.
 1994 01 0
 1994 02 780.
 1994 03 285·
 1994 04 939·
 1994 05 432.
 1994 06 38·
 1994 07 412.
 1994 08 5916.
 1994 09 646·
 1994 10 294.
 1994 11 236.
 1994 12 56
 1995 01  765.
 1995 02  994·
 1995 03  614.
 1995 04  914·
 1995 05  156·
 1995 06  837·
 1995 07  184.
 1995 08  977·
 1995 09  4612·
 1995 10  745·
 1995 11  204.
 1995 12  293.
 1996 01 565.
 1996 02 9313·
 1996 03 164.
 1996 04 6917·
 1996 05 5814·
 1996 06 8216.
 1996 07 836.
 1996 08 244·
 1996 09 903·
 1996 10 114.
 1996 11 205.
 1996 12 26
 1997 01  141.
 1997 02  749·
 1997 03  5410·
 1997 04  319·
 1997 05  199·
 1997 06  9110·
 1997 07  3319.
 1997 08  2118.
 1997 09  171·
 1997 10  57.
 1997 11  355·
 1997 12  22·
 1998 01 471·
 1998 02 865.
 1998 03 5910·
 1998 04 610.
 1998 05 716.
 1998 06 287·
 1998 07 3014·
 1998 08 904.
 1998 09 772.
 1998 10 494.
 1998 11 994.
 1999 01  35
 1999 02  794·
 1999 03  955·
 1999 04  423.
 1999 05  480.
 1999 06  134·
 1999 07  3412.
 1999 08  598.
 1999 09  619·
 1999 10  437.
 1999 11  605·
 1999 12  744.
 2000 01 304·
 2000 02 575·
 2000 04 935.
 2000 06 3910·
 2000 07 37
 2000 08 6713.
 2000 09 7611·
 2000 10 2910.
 2000 11 8912·
 2000 12 127.
 2001 01  7911.
 2001 02  459·
 2001 03  1713.
 2001 04  546.
 2001 06  9617.
 2001 07  119.
 2001 08  785.
 2001 09  823.
 2001 10  461.
 2001 11  783·
 2001 12  533.
 2002 02 71.
 2002 03 73
 2002 04 225.
 2002 05 492·
 2002 06 691.
 2002 07 466·
 2002 08 434.
 2002 09 982.
 2002 10 306.
 2002 11 609.
 2002 12 656.
 2003 01  574·
 2003 02  786·
 2003 03  334·
 2003 04  414.
 2003 05  64·
 2003 06  25
 2003 07  114·
 2003 08  458·
 2003 09  537.
 2003 10  10
 2003 11  614.
 2003 12  777·
 2004 01 306·
 2004 02 95
 2004 03 7810·
 2004 04 624·
 2004 05 929·
 2004 06 6913·
 2004 07 816.
 2004 10 532.
 2004 12 222·
 2005 01  446.
 2005 02  156·
 2005 03  226.
 2005 04  278.
 2005 05  592·
 2005 06  485·
 2005 08  721.
 2005 10  373.
 2005 11  75
 2005 12  743·
 2006 01 273·
 2006 02 106·
 2006 04 821.
 2006 06 149.
 2006 07 3811·
 2006 08 275.
 2006 09 913.
 2006 11 10
 2006 12 802·
 2007 01  9511.
 2007 02  416.
 2007 03  326.
 2007 04  549·
 2007 05  450·
 2007 06  9515·
 2007 07  7517.
 2007 08  858.
 2007 09  340·
 2007 10  402·
 2007 11  562·
 2007 12  231.
 2008 01 443·
 2008 02 905·
 2008 03 215.
 2008 04 4414.
 2008 05 8112·
 2008 06 823.
 2008 07 393.
 2008 08 475·
 2008 09 783.
 2008 10 79
 2008 11 33·
 2008 12 606·
 2009 02  904·
 2009 05  69
 2009 06  3311·
 2009 07  31
 2009 08  995·
 2009 09  654·
 2009 10  742·
 2009 11  373.
 2009 12  134·
 2010 01 60·
 2010 02 930.
 2010 03 770·
 2010 04 628·
 2010 05 534.
 2010 06 8613.
 2010 07 7812.
 2010 08 34.
 2010 09 941·
 2010 10 716.
 2010 11 895·
 2010 12 184.
 2011 01  437·
 2011 02  924·
 2011 03  854.
 2011 04  137.
 2011 05  383.
 2011 06  205.
 2011 07  686.
 2011 08  218·
 2011 09  41
 2011 10  471.
 2011 11  630·
 2011 12  973.
 2012 01 40
 2012 02 935.
 2012 03 20
 2012 04 2417·
 2012 05 489.
 2012 06 28.
 2012 07 1412.
 2012 08 87.
 2012 09 311.
 2012 10 430.
 2012 11 463.
 2012 12 803.
 2013 01  683.
 2013 02  11
 2013 03  41
 2013 04  98
 2013 05  311·
 2013 06  254·
 2013 07  504.
 2013 08  437·
 2013 09  54·
 2013 10  285·
 2013 11  4820.
 2013 12  2214.
 2014 01 2720.
 2014 02 9019·
 2014 03 3512·
 2014 04 664·
 2014 05 616·
 2014 06 42·
 2014 07 3710.
 2014 08 318.
 2014 09 944·
 2014 10 910.
 2014 11 45·
 2014 12 10.
 2015 01  390.
 2015 02  950·
 2015 03  120.
 2015 04  803·
 2015 05  340·
 2015 06  831.
 2015 07  6110·
 2015 08  15·
 2015 09  421·
 2015 10  512·
 2015 11  76
 2015 12  210·
 2016 01 52
 2016 02 181·
 2016 03 71·
 2016 04 212.
 2016 05 755·
 2016 06 283.


 2016 07 3111.
 2016 08 73.
 2016 09 490·
 2016 10 495·
 2016 11 484·
 2016 12 12
 2017 01  398.
 2017 02  775.
 2017 03  827.
 2017 04  9210·
 2017 05  310·
 2017 06  300.
 2017 07  84
 2017 08  297·
 2017 09  38
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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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