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 Series Title: Employment Level: Nonagriculture, Private Industries Wage and Salary Workers, 16-19 years, Women: NSA
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 2012 04 221957.
 2012 03 712017.
 2012 02 32043·
 2012 01 121993.
 2011 12  222048.
 2011 11  532098·
 2011 10  312088·
 2011 09  101985·
 2011 08  262246.
 2011 07  712374·
 2011 06  982270.
 2011 05  442034·
 2011 04  842019·
 2011 03  71931.
 2011 02  161881·
 2011 01  581867.
 2010 12 722009·
 2010 11 661953·
 2010 10 231973·
 2010 09 211946.
 2010 08 892259.
 2010 07 822375·
 2010 06 832268.
 2010 05 292075·
 2010 04 622091.
 2010 03 102052.
 2010 02 822046.
 2010 01 982006.
 2009 12  412125.
 2009 11  332077·
 2009 10  342032·
 2009 09  752081.
 2009 08  12413.
 2009 07  562710·
 2009 06  782611·
 2009 05  282366·
 2009 04  432309.
 2009 03  122346·
 2009 02  742397.
 2009 01  512397·
 2008 12 922446·
 2008 11 572431·
 2008 10 122511·
 2008 09 632519.
 2008 08 982786·
 2008 07 723037·
 2008 06 52895.
 2008 05 82661.
 2008 04 372684.
 2008 03 652574·
 2008 02 902587·
 2008 01 562630·
 2007 12  82776.
 2007 11  672795·
 2007 10  302731·
 2007 09  12659.
 2007 08  392912·
 2007 07  343282.
 2007 06  133052.
 2007 05  622636.
 2007 04  782566.
 2007 03  492637·
 2007 02  532691.
 2007 01  832685.
 2006 12 22885·
 2006 11 182851.
 2006 10 862843.
 2006 09 322708·
 2006 08 103102.
 2006 07 723420.
 2006 06 763251·
 2006 05 52840.
 2006 04 282750·
 2006 03 692709·
 2006 02 102775.
 2006 01 212710.
 2005 12  72789.
 2005 11  892753.
 2005 10  22792.
 2005 09  232806·
 2005 08  223212·
 2005 07  403362·
 2005 06  903187.
 2005 05  812785.
 2005 04  732678·
 2005 03  532688·
 2005 02  362635.
 2005 01  882669.
 2004 12 862812·
 2004 11 852681.
 2004 10 282678·
 2004 09 652672·
 2004 08 113009·
 2004 07 183167.
 2004 06 792979·
 2004 05 552720.
 2004 04 232613.
 2004 03 572547.
 2004 02 272620.
 2004 01 262606·
 2003 12  232631.
 2003 11  352752·
 2003 10  352688·
 2003 09  752672.
 2003 08  362959·
 2003 07  83166.
 2003 06  913010·
 2003 05  192761·
 2003 04  132729.
 2003 03  592697·
 2003 02  82681·
 2003 01  22684.
 2002 12 282835.
 2002 11 932763.
 2002 10 232864.
 2002 09 952838·
 2002 08 843146.
 2002 07 423380·
 2002 06 993271.
 2002 05 902827.
 2002 04 42793.
 2002 03 632826.
 2002 02 252782.
 2002 01 72751·
 2001 12  392990.
 2001 11  383062·
 2001 10  132980.
 2001 09  912825·
 2001 08  643114.
 2001 07  733537·
 2001 06  23415·
 2001 05  102978.
 2001 04  812938·
 2001 03  02970.
 2001 02  533037.
 2001 01  593019.
 2000 12 143296.
 2000 11 753220·
 2000 10 553130·
 2000 09 563080·
 2000 08 143539.
 2000 07 803711·
 2000 06 213560.
 2000 05 463088·
 2000 04 553120.
 2000 03 222988·
 2000 02 893003.
 2000 01 983084.
 1999 12  403275·
 1999 11  333184·
 1999 10  213089.
 1999 09  62960.
 1999 08  923484·
 1999 07  683779·
 1999 06  63417·
 1999 05  893185.
 1999 04  633070·
 1999 03  103114·
 1999 02  563121·
 1999 01  923048.
 1998 12 273279·
 1998 11 663074.
 1998 10 103050.
 1998 09 833136·
 1998 08 853551.
 1998 07 663757.
 1998 06 293510.
 1998 05 573123·
 1998 04 632998.
 1998 03 683120.
 1998 02 33054·
 1998 01 323040.
 1997 12  103045.
 1997 11  532912·
 1997 10  432818.
 1997 09  542799·
 1997 08  33297·
 1997 07  283524·
 1997 06  883260·
 1997 05  912892·
 1997 04  422907.
 1997 03  252875.
 1997 02  12733.
 1997 01  362756.
 1996 12 512959.
 1996 11 02931·
 1996 10 702910·
 1996 09 112872.
 1996 08 823300.
 1996 07 343527.
 1996 06 73234.
 1996 05 572843.
 1996 04 102707·
 1996 03 352706·
 1996 02 512635·
 1996 01 452642·
 1995 12  352810·
 1995 11  342776·
 1995 10  632780.
 1995 09  702714.
 1995 08  823326·
 1995 07  883343·
 1995 06  333199·
 1995 05  482794·
 1995 04  32677·
 1995 03  782721·
 1995 02  732619·
 1995 01  272640.
 1994 12 722774.
 1994 11 122665·
 1994 10 212582·
 1994 09 732521·
 1994 08 893074.
 1994 07 193242·
 1994 06 403075·
 1994 05 812701·
 1994 04 812588·
 1994 03 582490.
 1994 02 172497.
 1994 01 712540.
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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, 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

Make charts for Okun's Law and Phillip's Curve

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