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 Series Title: Employment Level: Nonagriculture, Private Industries Wage and Salary Workers, 16-19 years, Men: NSA
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 2012 04 591869.
 2012 03 471766.
 2012 02 741704.
 2012 01 361705·
 2011 12  541846.
 2011 11  501778·
 2011 10  481828·
 2011 09  41797·
 2011 08  532027.
 2011 07  882204.
 2011 06  602078·
 2011 05  81786·
 2011 04  71690·
 2011 03  441812·
 2011 02  241779.
 2011 01  931740.
 2010 12 901829.
 2010 11 241864·
 2010 10 771801.
 2010 09 271777·
 2010 08 32115·
 2010 07 602298.
 2010 06 812083.
 2010 05 41895.
 2010 04 711851·
 2010 03 81809·
 2010 02 261736.
 2010 01 441695.
 2009 12  451798.
 2009 11  511804.
 2009 10  241905.
 2009 09  911953.
 2009 08  12271·
 2009 07  952511·
 2009 06  122420·
 2009 05  142055.
 2009 04  382033·
 2009 03  711956.
 2009 02  542019·
 2009 01  71961·
 2008 12 822235.
 2008 11 362192.
 2008 10 372332.
 2008 09 902403.
 2008 08 832707.
 2008 07 722893.
 2008 06 752798·
 2008 05 52554.
 2008 04 172475·
 2008 03 852370.
 2008 02 62251.
 2008 01 242240.
 2007 12  842455·
 2007 11  72439.
 2007 10  912554·
 2007 09  392510.
 2007 08  102824.
 2007 07  953214·
 2007 06  203016·
 2007 05  702529.
 2007 04  452547·
 2007 03  302566·
 2007 02  42492.
 2007 01  612558.
 2006 12 632774.
 2006 11 192732.
 2006 10 832733·
 2006 09 812658.
 2006 08 673127·
 2006 07 943354.
 2006 06 183206·
 2006 05 252734·
 2006 04 812611.
 2006 03 112654.
 2006 02 982525·
 2006 01 102496.
 2005 12  552723·
 2005 11  522674.
 2005 10  352608.
 2005 09  832576·
 2005 08  652980·
 2005 07  233149·
 2005 06  682913·
 2005 05  112499.
 2005 04  112434.
 2005 03  562503·
 2005 02  592401.
 2005 01  892429·
 2004 12 192581.
 2004 11 82691.
 2004 10 962625.
 2004 09 362522·
 2004 08 392970.
 2004 07 613229.
 2004 06 932960·
 2004 05 962554.
 2004 04 472490·
 2004 03 212451.
 2004 02 872433·
 2004 01 382467·
 2003 12  422601·
 2003 11  192572.
 2003 10  402625·
 2003 09  562558·
 2003 08  512948·
 2003 07  133129·
 2003 06  412956·
 2003 05  712557·
 2003 04  232418·
 2003 03  832416·
 2003 02  32488·
 2003 01  242496.
 2002 12 342690.
 2002 11 382733·
 2002 10 632903.
 2002 09 872827·
 2002 08 843097.
 2002 07 73429.
 2002 06 853190·
 2002 05 532840·
 2002 04 02679·
 2002 03 492761.
 2002 02 572749.
 2002 01 412653·
 2001 12  302867.
 2001 11  442884·
 2001 10  902967·
 2001 09  943023·
 2001 08  513277·
 2001 07  993843·
 2001 06  243536.
 2001 05  843033.
 2001 04  633046·
 2001 03  463136·
 2001 02  203045·
 2001 01  33024·
 2000 12 913222·
 2000 11 423145·
 2000 10 683206.
 2000 09 703152.
 2000 08 863665.
 2000 07 673998·
 2000 06 793850.
 2000 05 313391·
 2000 04 233282.
 2000 03 303280.
 2000 02 923159·
 2000 01 533080.
 1999 12  33250·
 1999 11  603139·
 1999 10  703322.
 1999 09  313191·
 1999 08  513657·
 1999 07  164016·
 1999 06  03655.
 1999 05  853348·
 1999 04  163129.
 1999 03  793059·
 1999 02  952993.
 1999 01  582915.
 1998 12 763152·
 1998 11 543136·
 1998 10 943012·
 1998 09 193051.
 1998 08 303530.
 1998 07 753785·
 1998 06 593587·
 1998 05 633126.
 1998 04 33033.
 1998 03 972958.
 1998 02 782873·
 1998 01 92867·
 1997 12  463042.
 1997 11  33093.
 1997 10  633084·
 1997 09  12955·
 1997 08  343358·
 1997 07  983604.
 1997 06  543319·
 1997 05  83008·
 1997 04  672808.
 1997 03  152747.
 1997 02  122765.
 1997 01  242643.
 1996 12 722792.
 1996 11 102780·
 1996 10 262939.
 1996 09 692919·
 1996 08 993293.
 1996 07 653556·
 1996 06 93250·
 1996 05 862855·
 1996 04 222725·
 1996 03 872646.
 1996 02 972626·
 1996 01 442600·
 1995 12  422801·
 1995 11  62787·
 1995 10  552805.
 1995 09  392854.
 1995 08  853320·
 1995 07  803483·
 1995 06  713195·
 1995 05  882736.
 1995 04  02714.
 1995 03  912630.
 1995 02  562591·
 1995 01  362580·
 1994 12 652723.
 1994 11 442736.
 1994 10 492755·
 1994 09 532681·
 1994 08 783284.
 1994 07 723352·
 1994 06 133084.
 1994 05 322609·
 1994 04 652528·
 1994 03 322408.
 1994 02 362472.
 1994 01 922456·
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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, Private Industries Wage and Salary 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

Want to know how State economies fared during the Clinton Administration? Use the Reporter.

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