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 Series Title: Employment Level: Nonagriculture, Private Industries Wage and Salary Workers, 18-19 years, Women: NSA
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 2012 04 221342·
 2012 03 711426·
 2012 02 991465·
 2012 01 881392·
 2011 12  481417·
 2011 11  891361·
 2011 10  221311.
 2011 09  901278.
 2011 08  161497.
 2011 07  801614.
 2011 06  221576.
 2011 05  661463·
 2011 04  761452·
 2011 03  261415·
 2011 02  101333.
 2011 01  601302·
 2010 12 21325.
 2010 11 351256.
 2010 10 251234·
 2010 09 401254·
 2010 08 961511.
 2010 07 361663·
 2010 06 301527·
 2010 05 21405·
 2010 04 831428·
 2010 03 871447.
 2010 02 121360.
 2010 01 641316·
 2009 12  141399.
 2009 11  711383·
 2009 10  841333·
 2009 09  701322·
 2009 08  631548·
 2009 07  921784·
 2009 06  851717·
 2009 05  891534.
 2009 04  311532·
 2009 03  841533·
 2009 02  761498·
 2009 01  171598·
 2008 12 431548.
 2008 11 21482.
 2008 10 471514·
 2008 09 711511.
 2008 08 501737·
 2008 07 281959·
 2008 06 101893.
 2008 05 961734.
 2008 04 281693.
 2008 03 691608·
 2008 02 31599·
 2008 01 611617.
 2007 12  761663·
 2007 11  571644.
 2007 10  881609.
 2007 09  601552.
 2007 08  211680·
 2007 07  472003·
 2007 06  541870·
 2007 05  131570·
 2007 04  111567.
 2007 03  231639·
 2007 02  131660.
 2007 01  631630·
 2006 12 241645.
 2006 11 901643·
 2006 10 41568·
 2006 09 801513.
 2006 08 581862.
 2006 07 802071.
 2006 06 891998·
 2006 05 581721.
 2006 04 411638·
 2006 03 501667·
 2006 02 561611.
 2006 01 151616.
 2005 12  211598·
 2005 11  811615.
 2005 10  181644·
 2005 09  971641.
 2005 08  751932.
 2005 07  801991·
 2005 06  131926.
 2005 05  711740·
 2005 04  21698.
 2005 03  791641.
 2005 02  41562.
 2005 01  331589·
 2004 12 291702·
 2004 11 341646.
 2004 10 791637·
 2004 09 21628.
 2004 08 51875·
 2004 07 271901.
 2004 06 501864.
 2004 05 211696.
 2004 04 61584.
 2004 03 651545.
 2004 02 561553.
 2004 01 601520·
 2003 12  321589.
 2003 11  791637·
 2003 10  591629.
 2003 09  131538.
 2003 08  91714·
 2003 07  251846·
 2003 06  481792.
 2003 05  991661·
 2003 04  871650·
 2003 03  861651.
 2003 02  341668.
 2003 01  621618·
 2002 12 421756.
 2002 11 691696.
 2002 10 571739·
 2002 09 711699.
 2002 08 731906·
 2002 07 42077.
 2002 06 792070·
 2002 05 211854.
 2002 04 71781·
 2002 03 481731·
 2002 02 871707·
 2002 01 301714.
 2001 12  941852.
 2001 11  831860·
 2001 10  961791.
 2001 09  431660.
 2001 08  81854.
 2001 07  172141.
 2001 06  422091·
 2001 05  301797·
 2001 04  511822·
 2001 03  791869·
 2001 02  881894·
 2001 01  831836.
 2000 12 481911·
 2000 11 281909.
 2000 10 231896.
 2000 09 221823.
 2000 08 492123·
 2000 07 442236·
 2000 06 592161·
 2000 05 911952·
 2000 04 301929.
 2000 03 341861.
 2000 02 341895·
 2000 01 601891·
 1999 12  911990·
 1999 11  301943·
 1999 10  121836·
 1999 09  231732.
 1999 08  572100.
 1999 07  892246.
 1999 06  792097.
 1999 05  981995.
 1999 04  791861.
 1999 03  921937·
 1999 02  491939·
 1999 01  301891.
 1998 12 321961.
 1998 11 451854·
 1998 10 601813·
 1998 09 881844.
 1998 08 162129·
 1998 07 822250.
 1998 06 752154.
 1998 05 671938·
 1998 04 581821·
 1998 03 571924.
 1998 02 811870·
 1998 01 841859·
 1997 12  71837.
 1997 11  531740.
 1997 10  921671.
 1997 09  851645·
 1997 08  391988.
 1997 07  762115·
 1997 06  451961.
 1997 05  391788.
 1997 04  531778·
 1997 03  581786·
 1997 02  31670.
 1997 01  391638·
 1996 12 771708.
 1996 11 561681.
 1996 10 541668.
 1996 09 51637.
 1996 08 591842.
 1996 07 522024.
 1996 06 111874·
 1996 05 821678·
 1996 04 761584.
 1996 03 511604.
 1996 02 121567·
 1996 01 371550·
 1995 12  271642.
 1995 11  861603·
 1995 10  201637.
 1995 09  651574.
 1995 08  381931·
 1995 07  131978.
 1995 06  231921.
 1995 05  861682·
 1995 04  601657·
 1995 03  141698.
 1995 02  331580·
 1995 01  441585·
 1994 12 681617.
 1994 11 951575.
 1994 10 881485.
 1994 09 71451·
 1994 08 621745·
 1994 07 891919·
 1994 06 521865·
 1994 05 701635.
 1994 04 681615·
 1994 03 511534.
 1994 02 121534.
 1994 01 521539·
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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, 18-19 years, Women: 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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