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 Series Title: Employment Level: Nonagriculture, Wage and Salary Workers, 16-17 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 761218.
 2012 03 321171·
 2012 02 951115.
 2012 01 941126·
 2011 12  801188.
 2011 11  61296·
 2011 10  301361.
 2011 09  371333.
 2011 08  931424.
 2011 07  231602·
 2011 06  101441.
 2011 05  231136·
 2011 04  681069·
 2011 03  641101·
 2011 02  481116.
 2011 01  951161.
 2010 12 781314.
 2010 11 351308.
 2010 10 801331.
 2010 09 231353·
 2010 08 241542.
 2010 07 691586·
 2010 06 721463·
 2010 05 11301·
 2010 04 321265.
 2010 03 211190·
 2010 02 91257.
 2010 01 481275.
 2009 12  521316·
 2009 11  731295·
 2009 10  61345·
 2009 09  81502·
 2009 08  591824·
 2009 07  331970.
 2009 06  991803·
 2009 05  501587.
 2009 04  551503.
 2009 03  311514·
 2009 02  521631.
 2009 01  691495.
 2008 12 631697.
 2008 11 251709·
 2008 10 541868.
 2008 09 831910·
 2008 08 352071·
 2008 07 962268.
 2008 06 152045.
 2008 05 371813·
 2008 04 461816·
 2008 03 501842.
 2008 02 761824·
 2008 01 01824.
 2007 12  972047·
 2007 11  202088.
 2007 10  982176.
 2007 09  652106.
 2007 08  122437·
 2007 07  612716·
 2007 06  692506·
 2007 05  532060·
 2007 04  432042·
 2007 03  561981·
 2007 02  31990.
 2007 01  72083.
 2006 12 642364·
 2006 11 112394·
 2006 10 362418·
 2006 09 962318·
 2006 08 762598.
 2006 07 592872.
 2006 06 332676.
 2006 05 152234.
 2006 04 42123.
 2006 03 542024.
 2006 02 802093·
 2006 01 832013·
 2005 12  992203·
 2005 11  802154·
 2005 10  922142·
 2005 09  432183.
 2005 08  362526·
 2005 07  422684·
 2005 06  52408.
 2005 05  652010·
 2005 04  161948.
 2005 03  732029.
 2005 02  822021·
 2005 01  442027.
 2004 12 632096.
 2004 11 292106·
 2004 10 122076.
 2004 09 972037.
 2004 08 292286.
 2004 07 912593.
 2004 06 82193·
 2004 05 701885·
 2004 04 881929.
 2004 03 671872.
 2004 02 62019.
 2004 01 322050.
 2003 12  422102·
 2003 11  872190·
 2003 10  712098.
 2003 09  762187·
 2003 08  152584·
 2003 07  102799·
 2003 06  902478.
 2003 05  222078.
 2003 04  582000·
 2003 03  151971·
 2003 02  762017.
 2003 01  142042.
 2002 12 462061.
 2002 11 112070·
 2002 10 672227.
 2002 09 212282·
 2002 08 802545·
 2002 07 282837·
 2002 06 252502.
 2002 05 372008·
 2002 04 852005·
 2002 03 232096.
 2002 02 392056.
 2002 01 811980·
 2001 12  112238·
 2001 11  782307.
 2001 10  212370.
 2001 09  982412.
 2001 08  342610·
 2001 07  993121·
 2001 06  102797.
 2001 05  572392·
 2001 04  542275·
 2001 03  182279.
 2001 02  682311.
 2001 01  512260·
 2000 12 972616.
 2000 11 932539.
 2000 10 832507·
 2000 09 02582·
 2000 08 133009·
 2000 07 33204·
 2000 06 683061·
 2000 05 492485.
 2000 04 772466·
 2000 03 572445.
 2000 02 622405·
 2000 01 652448.
 1999 12  902594·
 1999 11  852527.
 1999 10  262670·
 1999 09  442585·
 1999 08  773046·
 1999 07  443407.
 1999 06  482863·
 1999 05  52533.
 1999 04  892479·
 1999 03  162389·
 1999 02  432418.
 1999 01  902348.
 1998 12 02632.
 1998 11 82481·
 1998 10 472498.
 1998 09 712588.
 1998 08 122998·
 1998 07 513263·
 1998 06 232833.
 1998 05 412430·
 1998 04 502406·
 1998 03 22396·
 1998 02 592338.
 1998 01 182361·
 1997 12  642473.
 1997 11  432458.
 1997 10  692516·
 1997 09  482475.
 1997 08  292894·
 1997 07  793167·
 1997 06  902797·
 1997 05  992314.
 1997 04  462269·
 1997 03  442191.
 1997 02  852211·
 1997 01  662172.
 1996 12 402440.
 1996 11 922461·
 1996 10 412534.
 1996 09 672481·
 1996 08 622924.
 1996 07 73150·
 1996 06 732773·
 1996 05 472305.
 1996 04 872204·
 1996 03 942168·
 1996 02 172120·
 1996 01 752125·
 1995 12  162353.
 1995 11  862322.
 1995 10  362320·
 1995 09  452368.
 1995 08  732872·
 1995 07  393060.
 1995 06  192767.
 1995 05  762229·
 1995 04  102086·
 1995 03  342057.
 1995 02  782094.
 1995 01  122092·
 1994 12 12369.
 1994 11 792296·
 1994 10 512329·
 1994 09 232241·
 1994 08 472904·
 1994 07 42995.
 1994 06 22568.
 1994 05 22187·
 1994 04 741993.
 1994 03 671898.
 1994 02 171942·
 1994 01 691997·
 1993 12  312165·
 1993 11  502056.
 1993 10  112021.
 1993 09  682036·
 1993 08  952637·
 1993 07  582829.
 1993 06  202265.
 1993 05  681996.
 1993 04  651772.
 1993 03  231737·
 1993 02  71803·
 1993 01  631750·
 1992 12 671967.
 1992 11 31845.
 1992 10 621899.
 1992 09 731905·
 1992 08 522544·
 1992 07 782682·
 1992 06 952195·
 1992 05 411808·
 1992 04 941765.
 1992 03 551671.
 1992 02 461757.
 1992 01 361730·
 1991 12  951914·
 1991 11  671943·
 1991 10  771988·
 1991 09  531959.
 1991 08  782470.
 1991 07  692655·
 1991 06  772314·
 1991 05  111878·
 1991 04  961870·
 1991 03  441850.
 1991 02  571963·
 1991 01  541869.
 1990 12 232075·
 1990 11 982045.
 1990 10 562019·
 1990 09 512049·
 1990 08 602672.
 1990 07 622954.
 1990 06 372529.
 1990 05 972193·
 1990 04 322149.
 1990 03 932166.
 1990 02 872099.
 1990 01 92119.
 1989 12  902279.
 1989 11  732344·
 1989 10  212402·
 1989 09  342281·
 1989 08  82979·
 1989 07  93128.
 1989 06  742691.
 1989 05  392341·
 1989 04  872249.
 1989 03  322215·
 1989 02  112106.
 1989 01  182144.
 1988 12 542423·
 1988 11 982456.
 1988 10 192389.
 1988 09 922367·
 1988 08 573142.
 1988 07 913406·
 1988 06 112945.
 1988 05 42381.
 1988 04 722292·
 1988 03 152254·
 1988 02 262278·
 1988 01 232292.
 1987 12  12548·
 1987 11  22372·
 1987 10  252464·
 1987 09  442476·
 1987 08  683302.
 1987 07  113419·
 1987 06  972786.
 1987 05  852452.
 1987 04  232278.
 1987 03  212256.
 1987 02  542229·
 1987 01  912222·
 1986 12 422420.
 1986 11 392318·
 1986 10 352405·
 1986 09 312382.
 1986 08 263032·
 1986 07 993273.
 1986 06 32746.
 1986 05 982333.
 1986 04 992248·
 1986 03 542202.
 1986 02 452052·
 1986 01 131998.
 1985 12  132199·
 1985 11  892191·
 1985 10  742160·
 1985 09  192164.
 1985 08  422880·
 1985 07  93118.
 1985 06  282501·
 1985 05  852165.
 1985 04  872059·
 1985 03  452077.
 1985 02  712028.
 1985 01  62010.
 1984 12 742149.
 1984 11 552105.
 1984 10 892133·
 1984 09 02118·
 1984 08 522761.
 1984 07 203062.
 1984 06 962548.
 1984 05 132119.
 1984 04 971967.
 1984 03 471853.
 1984 02 301807.
 1984 01 121818.
 1983 12  102066·
 1983 11  672027·
 1983 10  531946·
 1983 09  921996·
 1983 08  162698.
 1983 07  372874.
 1983 06  542401·
 1983 05  731895.
 1983 04  651850·
 1983 03  391784·
 1983 02  451796·
 1983 01  981900.
 1982 12 332010.
 1982 11 802044·
 1982 10 642096.
 1982 09 362065·
 1982 08 202738.
 1982 07 902947·
 1982 06 752517.
 1982 05 822196.
 1982 04 512153.
 1982 03 262078.
 1982 02 642078.
 1982 01 552150·
 1981 12  772405·
 1981 11  712396·
 1981 10  462428.
 1981 09  992413·
 1981 08  733253·
 1981 07  313468·
 1981 06  572838·
 1981 05  832504.
 1981 04  402487.
 1981 03  382395·
 1981 02  612396·
 1981 01  12425.
 1980 12 32651·
 1980 11 472591·
 1980 10 462683·
 1980 09 722608·
 1980 08 133300.
 1980 07 423694.
 1980 06 243220.
 1980 05 412677·
 1980 04 442616.
 1980 03 272651.
 1980 02 332597·
 1980 01 772724.
 1979 12  973056.
 1979 11  363000·
 1979 10  372945.
 1979 09  732938.
 1979 08  983550·
 1979 07  253921.
 1979 06  233436.
 1979 05  492835.
 1979 04  972828·
 1979 03  752764.
 1979 02  42761.
 1979 01  502777·
 1978 12 703014·
 1978 11 932950.
 1978 10 182990·
 1978 09 432874.
 1978 08 163793.
 1978 07 103939·
 1978 06 283514·
 1978 05 242954.
 1978 04 612761.
 1978 03 842600·
 1978 02 212575.
 1978 01 112648·
 1977 12  562917.
 1977 11  962870·
 1977 10  112879·
 1977 09  492761.
 1977 08  763622·
 1977 07  523732.
 1977 06  363174·
 1977 05  72625.
 1977 04  212574.
 1977 03  852422·
 1977 02  582421.
 1977 01  782322·
 1976 12 172597·
 1976 11 502534·
 1976 10 652575·
 1976 09 832527.
 1976 08 143343·
 1976 07 303616.
 1976 06 702940·
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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, Wage and Salary 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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