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 Series Title: Employment Level: Nonagriculture, Private Industries Wage and Salary Workers, 20-24 years, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 736037·
 2012 03 356090.
 2012 02 585897·
 2012 01 886001·
 2011 12  956078.
 2011 11  536227.
 2011 10  356290.
 2011 09  466137·
 2011 08  726277·
 2011 07  566296·
 2011 06  996232·
 2011 05  905920·
 2011 04  535861·
 2011 03  265741.
 2011 02  655741·
 2011 01  645712·
 2010 12 135660·
 2010 11 715694.
 2010 10 705681.
 2010 09 385730.
 2010 08 535979.
 2010 07 225950·
 2010 06 775872.
 2010 05 55651·
 2010 04 995476.
 2010 03 365457·
 2010 02 745339·
 2010 01 855150·
 2009 12  15309.
 2009 11  935475.
 2009 10  745454·
 2009 09  225649.
 2009 08  345924·
 2009 07  26113.
 2009 06  156001·
 2009 05  855728·
 2009 04  985786.
 2009 03  925579·
 2009 02  595743·
 2009 01  685658.
 2008 12 196019·
 2008 11 226200·
 2008 10 956105·
 2008 09 906236.
 2008 08 486440·
 2008 07 736689.
 2008 06 356536.
 2008 05 966336·
 2008 04 596357·
 2008 03 516325.
 2008 02 186277.
 2008 01 546300·
 2007 12  546404.
 2007 11  886654.
 2007 10  66474.
 2007 09  596378.
 2007 08  576705.
 2007 07  416933·
 2007 06  866736·
 2007 05  306575·
 2007 04  196495.
 2007 03  916478.
 2007 02  736326.
 2007 01  106306.
 2006 12 156533·
 2006 11 456501·
 2006 10 46631.
 2006 09 706580.
 2006 08 466857.
 2006 07 346875·
 2006 06 426770.
 2006 05 46472·
 2006 04 376403·
 2006 03 166400·
 2006 02 746431·
 2006 01 296300.
 2005 12  396490.
 2005 11  726492.
 2005 10  146445·
 2005 09  926400.
 2005 08  266622·
 2005 07  86917·
 2005 06  996743.
 2005 05  596365.
 2005 04  06218·
 2005 03  566204·
 2005 02  926222·
 2005 01  276162·
 2004 12 856449·
 2004 11 736337·
 2004 10 826372·
 2004 09 146253.
 2004 08 326604·
 2004 07 406918·
 2004 06 816697.
 2004 05 646365.
 2004 04 176406.
 2004 03 656272.
 2004 02 276294·
 2004 01 466337.
 2003 12  406216.
 2003 11  786241.
 2003 10  826252·
 2003 09  546178·
 2003 08  266403·
 2003 07  376475.
 2003 06  366499·
 2003 05  86291·
 2003 04  256268.
 2003 03  226233·
 2003 02  06299·
 2003 01  526184·
 2002 12 146250.
 2002 11 416281·
 2002 10 136177·
 2002 09 556174·
 2002 08 916378·
 2002 07 266446.
 2002 06 376365.
 2002 05 106230.
 2002 04 846115.
 2002 03 325912·
 2002 02 615975.
 2002 01 385876.
 2001 12  426045·
 2001 11  426142.
 2001 10  976131·
 2001 09  816325·
 2001 08  406321.
 2001 07  626519·
 2001 06  836370·
 2001 05  116159·
 2001 04  796271.
 2001 03  246063·
 2001 02  826099.
 2001 01  196144·
 2000 12 856258·
 2000 11 846307·
 2000 10 816391.
 2000 09 276210.
 2000 08 76547·
 2000 07 256543·
 2000 06 956483.
 2000 05 776084.
 2000 04 226151.
 2000 03 526033.
 2000 02 605969.
 2000 01 395947.
 1999 12  296018.
 1999 11  985815.
 1999 10  405836·
 1999 09  75909.
 1999 08  546101·
 1999 07  186105·
 1999 06  236041.
 1999 05  15773.
 1999 04  475572·
 1999 03  955754.
 1999 02  215695.
 1999 01  645653.
 1998 12 845890·
 1998 11 365852.
 1998 10 725746.
 1998 09 655687.
 1998 08 655989·
 1998 07 726045.
 1998 06 396076.
 1998 05 995753.
 1998 04 155717.
 1998 03 595607.
 1998 02 105570·
 1998 01 855541·
 1997 12  855690.
 1997 11  795748·
 1997 10  985722·
 1997 09  665717.
 1997 08  516057·
 1997 07  396111.
 1997 06  415977.
 1997 05  135770.
 1997 04  125535.
 1997 03  715437·
 1997 02  25500·
 1997 01  195374·
 1996 12 945546.
 1996 11 315524.
 1996 10 685646.
 1996 09 35520.
 1996 08 485799.
 1996 07 15919.
 1996 06 535801·
 1996 05 105532.
 1996 04 485533·
 1996 03 875531·
 1996 02 945464.
 1996 01 95495·
 1995 12  965704.
 1995 11  215622·
 1995 10  545676·
 1995 09  935707·
 1995 08  165953·
 1995 07  606070·
 1995 06  226043·
 1995 05  825798·
 1995 04  595781.
 1995 03  865772.
 1995 02  95788·
 1995 01  205719·
 1994 12 15981.
 1994 11 45944.
 1994 10 556007.
 1994 09 765948·
 1994 08 416139.
 1994 07 476089.
 1994 06 215971·
 1994 05 455708.
 1994 04 55674·
 1994 03 715592.
 1994 02 965661.
 1994 01 455484·
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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, 20-24 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

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

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