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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 16-19 years: NSA
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 1976 06 2048.
 1976 07 7450.
 1976 08 6957.
 1976 09 5228·
 1976 10 9435.
 1976 11 6725.
 1976 12 4729.
 1977 01  3723.
 1977 02  2231·
 1977 03  4733·
 1977 04  1339.
 1977 05  739·
 1977 06  5549·
 1977 07  9451.
 1977 08  8038.
 1977 09  821.
 1977 10  6721·
 1977 11  1619.
 1977 12  8719·
 1978 01 827.
 1978 02 5929.
 1978 03 4339.
 1978 04 9530.
 1978 05 245·
 1978 06 5641·
 1978 07 3359.
 1978 08 9451.
 1978 09 816.
 1978 10 913.
 1978 11 6818·
 1978 12 9622.
 1979 01  7225·
 1979 02  9324.
 1979 03  5329·
 1979 04  3837·
 1979 05  6134.
 1979 06  946.
 1979 07  2057.
 1979 08  8443·
 1979 09  7131.
 1979 10  8216·
 1979 11  2623·
 1979 12  2118.
 1980 01 2023·
 1980 02 6220·
 1980 03 5418.
 1980 04 6324.
 1980 05 5233·
 1980 06 2542.
 1980 07 844.
 1980 08 4738.
 1980 09 3742·
 1980 10 7142·
 1980 11 2229·
 1980 12 3738·
 1981 01  6840.
 1981 02  2623·
 1981 03  5130·
 1981 04  1926·
 1981 05  6621·
 1981 06  4031.
 1981 07  7835·
 1981 08  722·
 1981 09  7321·
 1981 10  8716·
 1981 11  815.
 1981 12  4014.
 1982 01 6015.
 1982 02 7029.
 1982 03 7430·
 1982 04 7948.
 1982 05 1943·
 1982 06 1352.
 1982 07 3351·
 1982 08 1352.
 1982 09 7216·
 1982 10 6624·
 1982 11 6515·
 1982 12 5424.
 1983 01  6022.
 1983 02  528·
 1983 03  7734.
 1983 04  4117.
 1983 05  5532·
 1983 06  3040·
 1983 07  232.
 1983 08  3640.
 1983 09  4926·
 1983 10  6723·
 1983 11  9638·
 1983 12  2729.
 1984 01 6224·
 1984 02 6626.
 1984 03 4035·
 1984 04 2723·
 1984 05 3933.
 1984 06 247·
 1984 07 4147·
 1984 08 7527·
 1984 09 4725.
 1984 10 7623·
 1984 11 3123.
 1984 12 3225.
 1985 01  8317·
 1985 02  1430·
 1985 03  6621.
 1985 04  8722·
 1985 05  6317·
 1985 06  6521.
 1985 07  2829·
 1985 08  5330.
 1985 09  336.
 1985 10  58·
 1985 11  2418·
 1985 12  679.
 1986 01 6211·
 1986 02 345.
 1986 03 854.
 1986 04 9314.
 1986 05 444·
 1986 06 7816·
 1986 07 6734.
 1986 08 1835.
 1986 09 9920·
 1986 10 8821·
 1986 11 5413·
 1986 12 567.
 1987 01  6911.
 1987 02  389.
 1987 03  5013·
 1987 04  438·
 1987 05  257.
 1987 06  2817.
 1987 07  8922.
 1987 08  4423.
 1987 09  6015·
 1987 10  8613·
 1987 11  2611·
 1987 12  456·
 1988 01 9415·
 1988 02 596.
 1988 03 432·
 1988 04 6012.
 1988 05 712.
 1988 06 2638·
 1988 07 474.
 1988 08 2726·
 1988 09 5915.
 1988 10 848.
 1988 11 6917.
 1988 12 911.
 1989 01  5413·
 1989 02  6117·
 1989 03  666·
 1989 04  9315.
 1989 05  7412·
 1989 06  511·
 1989 07  2016.
 1989 08  9221.
 1989 09  6417.
 1989 10  9411.
 1989 11  3710.
 1989 12  4510·
 1990 01 9211.
 1990 02 268.
 1990 03 4914.
 1990 04 1419.
 1990 05 5223·
 1990 06 2816·
 1990 07 1324·
 1990 08 8616·
 1990 09 6413·
 1990 10 50
 1990 11 1012.
 1990 12 767.
 1991 01  739·
 1991 02  674·
 1991 03  477.
 1991 04  217.
 1991 05  466.
 1991 06  808.
 1991 07  5511.
 1991 08  8310.
 1991 09  786·
 1991 10  13
 1991 11  914·
 1991 12  517·
 1992 01 8913·
 1992 02 194·
 1992 03 3813·
 1992 04 3715·
 1992 05 2315.
 1992 06 7121.
 1992 07 111.
 1992 08 8024.
 1992 09 486.
 1992 10 703.
 1992 11 117·
 1992 12 4212.
 1993 01  5918.
 1993 02  4128·
 1993 03  27
 1993 04  1120·
 1993 05  7413·
 1993 06  3613.
 1993 07  2927.
 1993 08  029.
 1993 09  3917.
 1993 10  299·
 1993 11  2415.
 1993 12  475·
 1994 01 222·
 1994 02 21
 1994 03 437.
 1994 04 1510.
 1994 05 172·
 1994 06 3710.
 1994 07 4423.
 1994 08 9218.
 1994 09 444.
 1994 10 287.
 1994 11 811.
 1994 12 908·
 1995 01  466·
 1995 02  686·
 1995 03  4119·
 1995 04  4819·
 1995 05  9317.
 1995 06  5922.
 1995 07  758·
 1995 08  2810.
 1995 09  7915·
 1995 10  258·
 1995 11  685·
 1995 12  186.
 1996 01 236.
 1996 02 1813.
 1996 03 06.
 1996 04 3218·
 1996 05 7021·
 1996 06 1227.
 1996 07 7810·
 1996 08 611·
 1996 09 87
 1996 10 89·
 1996 11 3310·
 1996 12 513·
 1997 01  704.
 1997 02  3110·
 1997 03  2311.
 1997 04  1612.
 1997 05  3812·
 1997 06  3214.
 1997 07  3028.
 1997 08  5128·
 1997 09  3413.
 1997 10  86
 1997 11  585.
 1997 12  495·
 1998 01 291.
 1998 02 945.
 1998 03 4210.
 1998 04 7213.
 1998 05 1510·
 1998 06 8017.
 1998 07 3617·
 1998 08 94.
 1998 09 12
 1998 10 9610.
 1998 11 224.
 1999 01  7211·
 1999 02  656·
 1999 03  167.
 1999 04  83.
 1999 05  993·
 1999 06  429.
 1999 07  4115.
 1999 08  2511.
 1999 09  549.
 1999 10  387.
 1999 11  965.
 1999 12  306·
 2000 01 2313.
 2000 02 7114.
 2000 03 337·
 2000 04 315.
 2000 05 206·
 2000 06 8712·
 2000 07 259.
 2000 08 5318·
 2000 09 8311·
 2000 10 5310.
 2000 11 7412·
 2000 12 109·
 2001 01  7513·
 2001 02  6521·
 2001 03  520.
 2001 04  3110.
 2001 06  8318.
 2001 07  4011.
 2001 08  6912.
 2001 09  976·
 2001 10  206·
 2001 11  256.
 2001 12  40
 2002 02 162.
 2002 03 256.
 2002 04 865·
 2002 05 192.
 2002 06 192.
 2002 07 607·
 2002 08 205.
 2002 09 32
 2002 10 636·
 2002 11 1317·
 2002 12 4410.
 2003 01  296.
 2003 02  298·
 2003 03  986.
 2003 04  45·
 2003 05  8511·
 2003 06  2410.
 2003 07  51
 2003 08  6714·
 2003 09  17.
 2003 10  80
 2003 11  357.
 2003 12  2911.
 2004 01 111·
 2004 02 529.
 2004 03 4010·
 2004 04 89.
 2004 05 3817.
 2004 06 2416.
 2004 07 7711.
 2004 08 493.
 2004 09 854.
 2004 10 1
 2004 12 846·
 2005 01  206.
 2005 02  4316·
 2005 03  159·
 2005 04  258·
 2005 05  162·
 2005 06  3810·
 2005 07  236.
 2005 08  871·
 2005 10  573·
 2005 11  218.
 2005 12  73·
 2006 01 833.
 2006 02 856.
 2006 04 651.
 2006 05 726.
 2006 06 519.
 2006 07 7111·
 2006 08 735·
 2006 09 523·
 2006 10 541·
 2006 11 85.
 2006 12 688.
 2007 01  120·
 2007 02  8013.
 2007 03  1516·
 2007 04  211.
 2007 05  3
 2007 06  4217.
 2007 07  3724.
 2007 08  519.
 2007 09  630·
 2007 10  772·
 2007 11  432·
 2007 12  131·
 2008 01 136.
 2008 02 485.
 2008 03 279.
 2008 04 1620.
 2008 05 1114.
 2008 06 44
 2008 07 88·
 2008 08 85.
 2008 09 363.
 2008 10 773.
 2008 11 313·
 2008 12 666·
 2009 01  983.
 2009 02  854.
 2009 03  630·
 2009 05  90
 2009 06  2515·
 2009 07  3219·
 2009 08  19.
 2009 09  6
 2009 10  772.
 2009 11  43.
 2009 12  625·
 2010 01 631.
 2010 02 33
 2010 03 153·
 2010 04 908·
 2010 05 37
 2010 06 213.
 2010 07 212·
 2010 08 566.
 2010 09 291.
 2010 10 1310.
 2010 11 3012·
 2010 12 5311.
 2011 01  639.
 2011 02  254.
 2011 03  844·
 2011 04  011.
 2011 05  913.
 2011 06  185.
 2011 07  799.
 2011 08  418.
 2011 09  885·
 2011 10  01.
 2011 11  531.
 2011 12  467.
 2012 01 549·
 2012 02 15·
 2012 03 674.
 2012 04 817·
 2012 05 1413·
 2012 06 808·
 2012 07 1112.
 2012 08 4810·
 2012 09 1914.
 2012 10 161·
 2012 11 963·
 2012 12 86·
 2013 01  4411·
 2013 02  173·
 2013 03  614.
 2013 04  581·
 2013 05  903.
 2013 06  154·
 2013 07  697.
 2013 08  937.
 2013 09  824.
 2013 10  66
 2013 11  823.
 2013 12  3017·
 2014 01 7025.
 2014 02 5224.
 2014 03 9013.
 2014 04 164.
 2014 05 309.
 2014 06 792.
 2014 07 5310.
 2014 08 188·
 2014 09 634·
 2014 10 790·
 2014 11 615.
 2014 12 300.
 2015 01  930.
 2015 02  90.
 2015 03  00·
 2015 04  737·
 2015 05  710·
 2015 06  501·
 2015 07  8513.
 2015 08  909.
 2015 09  721.
 2015 10  10
 2015 11  535·
 2015 12  501.
 2016 01 971·
 2016 02 195.
 2016 03 671.
 2016 04 472.
 2016 05 7112.
 2016 06 347.


 2016 07 1411.
 2016 08 16.
 2016 09 452.
 2016 10 375·
 2016 11 87·
 2016 12 5512.
 2017 01  9410·
 2017 02  355·
 2017 03  87
 2017 04  7910·
 2017 05  181.
 2017 06  595.
 2017 07  121·
 2017 08  677.
 2017 09  421.
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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
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