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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 16-17 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 2031·
 1976 07 9227·
 1976 08 937.
 1976 09 6218·
 1976 10 6623.
 1976 11 3611.
 1976 12 9212.
 1977 01  8112.
 1977 02  3317.
 1977 03  3515·
 1977 04  3218.
 1977 05  5618·
 1977 06  7425·
 1977 07  7132.
 1977 08  4221.
 1977 09  2911.
 1977 10  6314.
 1977 11  4912·
 1977 12  6011·
 1978 01 7011·
 1978 02 117.
 1978 03 223.
 1978 04 5017·
 1978 05 7425.
 1978 06 1323.
 1978 07 8735.
 1978 08 9735.
 1978 09 6010.
 1978 10 5012·
 1978 11 8414.
 1978 12 179·
 1979 01  7112.
 1979 02  8717·
 1979 03  115.
 1979 04  4526.
 1979 05  7622.
 1979 06  2436·
 1979 07  6940·
 1979 08  4723.
 1979 09  7120.
 1979 10  8610·
 1979 11  4515·
 1979 12  810·
 1980 01 748.
 1980 02 2510.
 1980 03 10
 1980 04 439·
 1980 05 2814.
 1980 06 1522.
 1980 07 7229.
 1980 08 8919·
 1980 09 517.
 1980 10 5722·
 1980 11 6118.
 1980 12 922.
 1981 01  9618.
 1981 02  7711.
 1981 03  3518·
 1981 04  9017·
 1981 05  2211.
 1981 06  2423.
 1981 07  7526.
 1981 08  4616.
 1981 09  2714.
 1981 10  7411.
 1981 11  879.
 1981 12  154·
 1982 01 804·
 1982 02 276·
 1982 03 411.
 1982 04 6024.
 1982 05 7521·
 1982 06 1036.
 1982 07 8134.
 1982 08 6837·
 1982 09 318·
 1982 10 718·
 1982 11 28·
 1982 12 5212·
 1983 01  929·
 1983 02  8714·
 1983 03  7120·
 1983 04  5012·
 1983 05  2819.
 1983 06  5922.
 1983 07  2222.
 1983 08  2626·
 1983 09  329.
 1983 10  1013.
 1983 11  106.
 1983 12  665.
 1984 01 259.
 1984 02 937·
 1984 03 1718·
 1984 04 8410·
 1984 05 4916·
 1984 06 8132.
 1984 07 5028.
 1984 08 1917.
 1984 09 738.
 1984 10 7710·
 1984 11 4112·
 1984 12 3114.
 1985 01  9411.
 1985 02  415.
 1985 03  458·
 1985 04  1011·
 1985 05  28
 1985 06  1311.
 1985 07  4519.
 1985 08  6923.
 1985 09  214·
 1985 10  804·
 1985 11  489.
 1985 12  454.
 1986 01 414·
 1986 02 62.
 1986 03 852·
 1986 04 15·
 1986 05 831·
 1986 06 159.
 1986 07 1217·
 1986 08 2516.
 1986 09 66
 1986 10 589·
 1986 11 125.
 1986 12 312.
 1987 01  347.
 1987 02  10
 1987 03  908·
 1987 04  55
 1987 05  563.
 1987 06  72
 1987 07  7911.
 1987 08  6118·
 1987 09  274.
 1987 10  695.
 1987 11  36
 1987 12  362.
 1988 01 6410.
 1988 02 512·
 1988 04 416.
 1988 05 942·
 1988 06 1415·
 1988 07 941.
 1988 08 217.
 1988 09 736.
 1988 10 448·
 1988 11 99
 1988 12 496·
 1989 01  355.
 1989 02  499·
 1989 03  902.
 1989 04  419.
 1989 05  685·
 1989 06  47
 1989 07  189.
 1989 08  588.
 1989 09  85
 1989 10  848.
 1989 11  597.
 1989 12  73.
 1990 01 241·
 1990 02 282·
 1990 03 126·
 1990 04 209.
 1990 05 485·
 1990 06 746.
 1990 07 411·
 1990 08 539·
 1990 09 456·
 1990 10 406·
 1990 11 847.
 1990 12 884.
 1991 01  283·
 1991 02  71
 1991 03  29
 1991 04  325.
 1991 05  34
 1991 06  363·
 1991 07  373.
 1991 08  162.
 1991 10  275.
 1991 11  281·
 1991 12  366·
 1992 01 974.
 1992 02 944.
 1992 03 683.
 1992 04 745·
 1992 05 574.
 1992 06 4812.
 1992 07 994.
 1992 08 294.
 1992 10 11.
 1992 11 274·
 1992 12 908.
 1993 01  992.
 1993 02  638.
 1993 03  945.
 1993 04  36
 1993 05  104.
 1993 06  989·
 1993 07  3810.
 1993 08  5516.
 1993 09  136.
 1993 10  884·
 1993 11  70
 1993 12  933.
 1994 03 84
 1994 04 402.
 1994 05 282.
 1994 06 175·
 1994 07 228·
 1994 08 857·
 1994 09 771·
 1994 10 223.
 1994 11 526.
 1994 12 805·
 1995 01  21.
 1995 02  281.
 1995 03  267.
 1995 04  710.
 1995 05  199·
 1995 06  7814.
 1995 07  195.
 1995 08  728.
 1995 09  638.
 1995 10  415.
 1995 11  313·
 1995 12  73·
 1996 01 992.
 1996 02 128·
 1996 03 873.
 1996 04 6912·
 1996 05 1313·
 1996 06 1013.
 1996 07 389·
 1996 08 398.
 1996 09 207.
 1996 10 799·
 1996 11 605.
 1997 01  242.
 1997 02  564·
 1997 03  883·
 1997 04  52
 1997 05  557·
 1997 06  8512·
 1997 07  3119·
 1997 08  4011·
 1997 09  9011·
 1997 10  951.
 1997 11  271·
 1997 12  744.
 1998 01 91·
 1998 02 981.
 1998 03 211·
 1998 04 306.
 1998 05 205.
 1998 06 3212·
 1998 07 829·
 1998 08 94·
 1998 09 545·
 1998 10 615·
 1998 11 34·
 1999 01  354.
 1999 02  676.
 1999 03  726·
 1999 04  43.
 1999 05  593·
 1999 06  424·
 1999 07  788.
 1999 08  306.
 1999 10  563.
 1999 11  852·
 2000 01 176·
 2000 02 48
 2000 03 272·
 2000 04 288.
 2000 05 516.
 2000 06 542·
 2000 08 987.
 2000 09 276·
 2000 10 705·
 2000 11 663·
 2001 02  172.
 2001 03  633.
 2001 04  852·
 2001 06  299.
 2001 07  626.
 2001 08  453.
 2001 09  353·
 2001 10  126·
 2002 03 325.
 2002 06 22·
 2002 07 817·
 2002 08 85.
 2002 09 532·
 2002 10 932.
 2002 11 147.
 2002 12 385.
 2003 01  754·
 2003 02  985·
 2003 03  441.
 2003 04  453.
 2003 05  735·
 2003 06  244·
 2003 07  114.
 2003 08  9813·
 2003 09  494·
 2003 10  2
 2003 11  763.
 2003 12  922.
 2004 01 262·
 2004 02 912·
 2004 03 289.
 2004 04 457.
 2004 05 5713.
 2004 06 7011·
 2004 07 808·
 2004 09 22.
 2004 10 152.
 2004 12 474·
 2005 01  704·
 2005 02  3114.
 2005 03  26.
 2005 04  536.
 2005 05  601.
 2005 06  284·
 2005 07  426.
 2005 08  451·
 2005 11  39
 2006 01 110·
 2006 02 873·
 2006 04 51.
 2006 05 193.
 2006 06 24
 2006 07 118.
 2006 08 393.
 2006 09 380·
 2006 10 370·
 2006 11 165.
 2006 12 796·
 2007 01  59
 2007 02  43
 2007 03  269.
 2007 04  815.
 2007 05  701.
 2007 06  6310.
 2007 07  9116·
 2007 08  282.
 2008 01 844.
 2008 03 387.
 2008 04 8811.
 2008 05 259.
 2008 06 396·
 2008 07 408.
 2009 01  173·
 2009 05  54.
 2009 06  978·
 2009 07  624·
 2009 08  24·
 2009 09  240.
 2009 10  470·
 2009 11  240·
 2009 12  954.
 2010 01 641·
 2010 02 11.
 2010 03 683.
 2010 04 704·
 2010 05 313.
 2010 06 980.
 2010 07 66
 2010 08 290·
 2010 09 570·
 2010 10 04.
 2010 11 103.
 2010 12 964.
 2011 01  994.
 2011 02  954·
 2011 03  204.
 2011 04  220·
 2011 05  380.
 2011 06  960.
 2011 07  406·
 2011 08  827·
 2011 09  811·
 2011 10  411.
 2011 11  391.
 2011 12  772·
 2012 01 600.
 2012 02 920.
 2012 03 110·
 2012 04 327.
 2012 05 3010·
 2012 06 393·
 2012 07 768·
 2012 08 98
 2012 09 754·
 2012 10 921.
 2012 11 770·
 2012 12 496.
 2013 01  04.
 2013 02  923.
 2013 03  844·
 2013 04  870.
 2013 05  380·
 2013 06  990·
 2013 07  910.
 2013 08  374.
 2013 09  444·
 2013 10  34.
 2013 11  1711.
 2013 12  48
 2014 01 04.
 2014 02 160·
 2014 03 50.
 2014 04 970·
 2014 05 142.
 2014 06 762.
 2014 07 275·
 2014 08 844.
 2014 09 164.
 2014 10 460.
 2014 11 745.
 2014 12 330.
 2015 01  640·
 2015 02  130.
 2015 03  67
 2015 04  970.
 2015 05  380.
 2015 06  920.
 2015 07  5010·
 2015 08  495·
 2015 09  461·
 2015 10  182.
 2015 11  920.
 2015 12  911.
 2016 01 20
 2016 02 574·
 2016 03 860·
 2016 04 480.
 2016 05 154.
 2016 06 940.
 2016 07 5311.
 2016 08 700.


 2016 09 14
 2016 10 441·
 2016 11 364·
 2016 12 328.
 2017 01  230.
 2017 02  440.
 2017 03  43·
 2017 04  367·
 2017 05  741·
 2017 06  570.
 2017 07  520.
 2017 08  53·
 2017 09  241.
 2017 10  714.
 2017 11  98
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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, 16-17 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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