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 Series Title: Total At Work in Nonagricultural Industries, 20-24 years Worked 35 Hours or More: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 337143·
 2012 03 67240.
 2012 02 706797.
 2012 01 766950·
 2011 12  37352.
 2011 11  287210·
 2011 10  347143.
 2011 09  307385.
 2011 08  87778·
 2011 07  187841·
 2011 06  677660·
 2011 05  507092.
 2011 04  986932.
 2011 03  566999.
 2011 02  836712.
 2011 01  826607·
 2010 12 496877·
 2010 11 496767·
 2010 10 197021.
 2010 09 957131.
 2010 08 617736·
 2010 07 307774.
 2010 06 397690.
 2010 05 837284.
 2010 04 606764.
 2010 03 546494·
 2010 02 306194.
 2010 01 646549·
 2009 12  976714.
 2009 11  46621·
 2009 10  56663.
 2009 09  845822·
 2009 08  457875·
 2009 07  867832·
 2009 06  27675.
 2009 05  117270.
 2009 04  67112·
 2009 03  327256·
 2009 02  847234.
 2009 01  407321·
 2008 12 67851.
 2008 11 987855·
 2008 10 398108·
 2008 09 888435·
 2008 08 948994.
 2008 07 659203·
 2008 06 799112·
 2008 05 28673·
 2008 04 468282·
 2008 03 428227.
 2008 02 438055·
 2008 01 508410.
 2007 12  638685.
 2007 11  598842.
 2007 10  938898·
 2007 09  258997·
 2007 08  699409.
 2007 07  739620.
 2007 06  189462·
 2007 05  478915.
 2007 04  158479.
 2007 03  658588·
 2007 02  308310·
 2007 01  618780·
 2006 12 779112·
 2006 11 428749·
 2006 10 678865.
 2006 09 359075.
 2006 08 559566·
 2006 07 379720·
 2006 06 929529.
 2006 05 648702.
 2006 04 758226.
 2006 03 48326.
 2006 02 938255.
 2006 01 668337.
 2005 12  868821.
 2005 11  278565.
 2005 10  838663·
 2005 09  868745·
 2005 08  649279.
 2005 07  129551.
 2005 06  09524.
 2005 05  938619.
 2005 04  98413·
 2005 03  908186·
 2005 02  68133.
 2005 01  828323.
 2004 12 488679·
 2004 11 188338·
 2004 10 898355·
 2004 09 708600.
 2004 08 309257.
 2004 07 789549.
 2004 06 639044.
 2004 05 38551·
 2004 04 308233.
 2004 03 768079.
 2004 02 668094·
 2004 01 498293.
 2003 12  508421.
 2003 11  448073.
 2003 10  598369.
 2003 09  38456.
 2003 08  148981·
 2003 07  389307.
 2003 06  319306·
 2003 05  838527.
 2003 04  738399·
 2003 03  418086·
 2003 02  968109.
 2003 01  358125.
 2002 12 28142·
 2002 11 598279·
 2002 10 908516.
 2002 09 278710.
 2002 08 29243·
 2002 07 239222·
 2002 06 779304.
 2002 05 538659·
 2002 04 988218.
 2002 03 908033·
 2002 02 448088·
 2002 01 328217.
 2001 12  408343·
 2001 11  438317·
 2001 10  58464·
 2001 09  98422·
 2001 08  49180·
 2001 07  869487·
 2001 06  979472·
 2001 05  528844·
 2001 04  908264·
 2001 03  538515·
 2001 02  848257·
 2001 01  568448.
 2000 12 248794·
 2000 11 998738.
 2000 10 538680·
 2000 09 408905·
 2000 08 569541·
 2000 07 79814.
 2000 06 169476.
 2000 05 488734.
 2000 04 618676·
 2000 03 838320.
 2000 02 138067.
 2000 01 508213.
 1999 12  408433.
 1999 11  588097·
 1999 10  68214·
 1999 09  388247·
 1999 08  189011.
 1999 07  909095·
 1999 06  828939.
 1999 05  338374.
 1999 04  467981·
 1999 03  598004.
 1999 02  557871.
 1999 01  797573·
 1998 12 988090.
 1998 11 747764.
 1998 10 627784·
 1998 09 455916·
 1998 08 768586.
 1998 07 648828·
 1998 06 678637·
 1998 05 247976·
 1998 04 57742.
 1998 03 877582·
 1998 02 577463.
 1998 01 367378.
 1997 12  357755.
 1997 11  257655.
 1997 10  457675·
 1997 09  267872·
 1997 08  418491·
 1997 07  848804.
 1997 06  698618·
 1997 05  628165·
 1997 04  247564.
 1997 03  957417.
 1997 02  937248·
 1997 01  386994.
 1996 12 97460·
 1996 11 167282·
 1996 10 37549·
 1996 09 747539·
 1996 08 478219.
 1996 07 288420·
 1996 06 138211·
 1996 05 147688.
 1996 04 137313·
 1996 03 387564·
 1996 02 607279·
 1996 01 276476·
 1995 12  87644.
 1995 11  777697.
 1995 10  87595.
 1995 09  67705·
 1995 08  568519·
 1995 07  28693·
 1995 06  448592.
 1995 05  728004·
 1995 04  97428·
 1995 03  947693.
 1995 02  827450·
 1995 01  687759.
 1994 12 417941.
 1994 11 617591·
 1994 10 597852.
 1994 09 648162·
 1994 08 548712·
 1994 07 348922.
 1994 06 388812.
 1994 05 538048·
 1994 04 717885·
 1994 03 697581·
 1994 02 76915.
 1994 01 557199.
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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: Total At Work in Nonagricultural Industries, 20-24 years Worked 35 Hours or More: 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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