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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 16-19 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1976 06 548.
 1976 07 6950.
 1976 08 2557·
 1976 09 8728·
 1976 10 9435·
 1976 11 8925.
 1976 12 1529.
 1977 01  4423·
 1977 02  3131·
 1977 03  8933·
 1977 04  8639.
 1977 05  8139.
 1977 06  6649.
 1977 07  4951.
 1977 08  5338·
 1977 09  4221·
 1977 10  7521·
 1977 11  7819.
 1977 12  5319.
 1978 01 9727.
 1978 02 5729·
 1978 03 739·
 1978 04 4930.
 1978 05 3845·
 1978 06 3841·
 1978 07 9259.
 1978 08 2851.
 1978 09 8716.
 1978 10 6913·
 1978 11 1418.
 1978 12 422.
 1979 01  8625.
 1979 02  2424.
 1979 03  8229·
 1979 04  1537·
 1979 05  434.
 1979 06  546.
 1979 07  2557.
 1979 08  2343·
 1979 09  3731.
 1979 10  3716.
 1979 11  123·
 1979 12  1618.
 1980 01 223·
 1980 02 7020·
 1980 03 9218.
 1980 04 724.
 1980 05 4533.
 1980 06 7942.
 1980 07 444·
 1980 08 3538·
 1980 09 3442.
 1980 10 6642.
 1980 11 6929·
 1980 12 6138.
 1981 01  6340.
 1981 02  5423·
 1981 03  4330.
 1981 04  7426.
 1981 05  5321.
 1981 06  9531.
 1981 07  835.
 1981 08  8722·
 1981 09  4521·
 1981 10  6516·
 1981 11  7115.
 1981 12  3814.
 1982 01 1115.
 1982 02 6229·
 1982 03 6330.
 1982 04 8948·
 1982 05 4443.
 1982 06 1452.
 1982 07 4151·
 1982 08 2852·
 1982 09 6316·
 1982 10 6924·
 1982 11 8715.
 1982 12 6924.
 1983 01  1222.
 1983 02  528·
 1983 03  734.
 1983 04  4917.
 1983 05  6132·
 1983 06  2040.
 1983 07  3332·
 1983 08  3140.
 1983 09  326.
 1983 10  4123·
 1983 11  2138·
 1983 12  329·
 1984 01 5824·
 1984 02 1826.
 1984 03 5435·
 1984 04 7823.
 1984 05 7033·
 1984 06 2547·
 1984 07 3747·
 1984 08 9427.
 1984 09 825·
 1984 10 6523.
 1984 11 323·
 1984 12 1325·
 1985 01  6617·
 1985 02  6130.
 1985 03  821.
 1985 04  2422.
 1985 05  6317.
 1985 06  6521.
 1985 07  3429·
 1985 08  3930·
 1985 09  446.
 1985 10  518·
 1985 11  8718.
 1985 12  979.
 1986 01 7711.
 1986 02 215.
 1986 03 994·
 1986 04 6014.
 1986 05 574.
 1986 06 9916·
 1986 07 2634·
 1986 08 1635·
 1986 09 320·
 1986 10 3621.
 1986 11 5113·
 1986 12 787.
 1987 01  5911·
 1987 02  7
 1987 03  8013.
 1987 04  838·
 1987 05  937·
 1987 06  1317.
 1987 07  4522·
 1987 08  9623.
 1987 09  215.
 1987 10  7913.
 1987 11  211.
 1987 12  36·
 1988 01 215.
 1988 02 556·
 1988 03 322·
 1988 04 1812.
 1988 05 402.
 1988 06 1838·
 1988 07 434.
 1988 08 7826·
 1988 09 8215·
 1988 10 678·
 1988 11 6717·
 1988 12 4711.
 1989 01  2513·
 1989 02  2717.
 1989 03  596·
 1989 04  1115·
 1989 05  8712.
 1989 06  4911.
 1989 07  116.
 1989 08  8521·
 1989 09  1217·
 1989 10  911.
 1989 11  010.
 1989 12  610·
 1990 01 6911.
 1990 02 78.
 1990 03 8914.
 1990 04 3719·
 1990 05 5223.
 1990 06 6816.
 1990 07 2224.
 1990 08 6516·
 1990 09 8113.
 1990 10 429·
 1990 11 8312.
 1990 12 57·
 1991 01  09·
 1991 02  54.
 1991 03  777.
 1991 04  927.
 1991 05  786.
 1991 06  588.
 1991 07  3611.
 1991 08  9210.
 1991 09  86·
 1991 10  266·
 1991 11  18
 1991 12  907.
 1992 01 1113·
 1992 02 594·
 1992 03 313·
 1992 04 115.
 1992 05 2915.
 1992 06 3221.
 1992 07 9811·
 1992 08 6224.
 1992 09 346.
 1992 10 46
 1992 11 347·
 1992 12 3612.
 1993 01  1718.
 1993 02  2728·
 1993 03  709·
 1993 04  1120.
 1993 05  013.
 1993 06  2413·
 1993 07  8527.
 1993 08  9929·
 1993 09  2517·
 1993 10  149.
 1993 11  8715.
 1993 12  405·
 1994 01 622.
 1994 02 96
 1994 03 87.
 1994 04 9510·
 1994 05 52·
 1994 06 9610.
 1994 07 423.
 1994 08 5218.
 1994 09 744.
 1994 10 647.
 1994 11 5611·
 1994 12 25
 1995 01  126·
 1995 02  766·
 1995 03  7219·
 1995 04  5119·
 1995 05  8817·
 1995 06  3222.
 1995 07  828.
 1995 08  9310.
 1995 09  9715·
 1995 10  578·
 1995 11  445.
 1995 12  396·
 1996 01 586·
 1996 02 213·
 1996 03 406.
 1996 04 218.
 1996 05 1421·
 1996 06 4327·
 1996 07 7510.
 1996 08 2011·
 1996 09 369·
 1996 10 799.
 1996 11 8210·
 1996 12 5613.
 1997 01  174.
 1997 02  3610·
 1997 03  1711.
 1997 04  9712.
 1997 05  7612.
 1997 06  6514·
 1997 07  6128·
 1997 08  5728.
 1997 09  5813.
 1997 10  407·
 1997 11  235·
 1997 12  735·
 1998 01 321.
 1998 02 625·
 1998 03 3210·
 1998 04 913.
 1998 05 9110.
 1998 06 5817.
 1998 07 4617·
 1998 08 51
 1998 09 555.
 1998 10 7610·
 1998 11 464·
 1999 01  1411·
 1999 02  686·
 1999 03  927.
 1999 04  403·
 1999 05  34
 1999 06  999.
 1999 07  815.
 1999 08  5711.
 1999 09  769·
 1999 10  437·
 1999 11  475.
 1999 12  576·
 2000 01 2613.
 2000 02 1814.
 2000 03 61
 2000 04 1915·
 2000 05 976·
 2000 06 6912.
 2000 07 25
 2000 08 5118·
 2000 09 2911·
 2000 10 6510·
 2000 11 3912.
 2000 12 849.
 2001 01  8213.
 2001 02  9921.
 2001 03  2920·
 2001 04  7410·
 2001 06  4618·
 2001 07  9211·
 2001 08  4512·
 2001 09  56.
 2001 10  336·
 2001 11  866.
 2001 12  638.
 2002 02 812.
 2002 03 816.
 2002 04 525.
 2002 05 822.
 2002 06 352.
 2002 07 537·
 2002 08 845·
 2002 09 296.
 2002 10 246.
 2002 11 3717·
 2002 12 010.
 2003 01  536·
 2003 02  28
 2003 03  466.
 2003 04  45
 2003 05  3111.
 2003 06  5610·
 2003 07  177·
 2003 08  8714·
 2003 09  627.
 2003 10  374.
 2003 11  147·
 2003 12  2211·
 2004 01 7111.
 2004 02 309.
 2004 03 2410.
 2004 04 689.
 2004 05 1017·
 2004 06 1516·
 2004 07 6111.
 2004 08 693·
 2004 09 544.
 2004 10 994.
 2004 12 626·
 2005 01  95
 2005 02  216.
 2005 03  159·
 2005 04  898.
 2005 05  392·
 2005 06  8110.
 2005 07  186·
 2005 08  321·
 2005 10  213.
 2005 11  418.
 2005 12  903.
 2006 01 33·
 2006 02 856.
 2006 04 571.
 2006 05 376.
 2006 06 399.
 2006 07 9911.
 2006 08 305.
 2006 09 933.
 2006 10 4
 2006 11 595.
 2006 12 848.
 2007 01  1220.
 2007 02  8613.
 2007 03  8416·
 2007 04  7111·
 2007 05  771.
 2007 06  9717.
 2007 07  1624.
 2007 08  669.
 2007 09  950·
 2007 10  752.
 2007 11  272.
 2007 12  68
 2008 01 966.
 2008 02 845.
 2008 03 89.
 2008 04 520.
 2008 05 3814.
 2008 06 107·
 2008 07 818.
 2008 08 255.
 2008 09 33·
 2008 10 683.
 2008 11 893·
 2008 12 46·
 2009 01  963.
 2009 02  944·
 2009 03  10.
 2009 05  439.
 2009 06  5015·
 2009 07  5319.
 2009 08  119.
 2009 09  684·
 2009 10  212.
 2009 11  303.
 2009 12  395.
 2010 01 271.
 2010 02 911.
 2010 03 413.
 2010 04 288.
 2010 05 984.
 2010 06 6713·
 2010 07 2212.
 2010 08 486.
 2010 09 801.
 2010 10 8010.
 2010 11 3612·
 2010 12 9211·
 2011 01  999.
 2011 02  864·
 2011 03  714.
 2011 04  8111.
 2011 05  43·
 2011 06  685·
 2011 07  419·
 2011 08  588·
 2011 09  725·
 2011 10  321.
 2011 11  831·
 2011 12  927·
 2012 01 39.
 2012 02 105·
 2012 03 594.
 2012 04 7717.
 2012 05 2213·
 2012 06 588.
 2012 07 5812.
 2012 08 3310.
 2012 09 8014·
 2012 10 581.
 2012 11 933·
 2012 12 46·
 2013 01  5111.
 2013 02  163·
 2013 03  24·
 2013 04  581.
 2013 05  373·
 2013 06  654·
 2013 07  477·
 2013 08  917.
 2013 09  634.
 2013 10  615·
 2013 11  1623·
 2013 12  2017·
 2014 01 7925.
 2014 02 8524·
 2014 03 2213.
 2014 04 914·
 2014 05 619·
 2014 06 452.
 2014 07 410·
 2014 08 728.
 2014 09 84·
 2014 10 710.
 2014 11 245·
 2014 12 580·
 2015 01  470·
 2015 02  210.
 2015 03  690·
 2015 04  677·
 2015 05  27
 2015 06  761·
 2015 07  5413·
 2015 08  459.
 2015 09  251.
 2015 10  422·
 2015 11  155.
 2015 12  59
 2016 01 401·
 2016 02 525.
 2016 03 151.
 2016 04 42.
 2016 05 9812·
 2016 06 63
 2016 07 4411·
 2016 08 996·
 2016 09 502.
 2016 10 54
 2016 11 127·
 2016 12 8912·
 2017 01  7010.


 2017 02  345.
 2017 03  597.
 2017 04  4210·
 2017 05  591.
 2017 06  345·
 2017 07  471·
 2017 08  537.
 2017 09  431·
 2017 10  114.
 2017 11  644·
 2017 12  418.
 2018 01 7112.
 2018 02 46
 2018 03 221·
 2018 04 50
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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: 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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