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 Series Title: Multiple Jobholders: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 366947.
 2012 03 387052·
 2012 02 217116.
 2012 01 196830.
 2011 12  917030·
 2011 11  977083·
 2011 10  986989.
 2011 09  886946.
 2011 08  386649.
 2011 07  796724·
 2011 06  26861·
 2011 05  807084·
 2011 04  266887.
 2011 03  676809·
 2011 02  446882·
 2011 01  406621·
 2010 12 326884.
 2010 11 666816·
 2010 10 636817.
 2010 09 376681·
 2010 08 556515·
 2010 07 96579.
 2010 06 216899·
 2010 05 657261·
 2010 04 217105.
 2010 03 527063·
 2010 02 77161.
 2010 01 436751.
 2009 12  806886.
 2009 11  777222.
 2009 10  337224.
 2009 09  157098·
 2009 08  86772·
 2009 07  907282·
 2009 06  387067·
 2009 05  517265.
 2009 04  57781.
 2009 03  237723.
 2009 02  847676·
 2009 01  457258.
 2008 12 967432·
 2008 11 327539·
 2008 10 587817·
 2008 09 167724·
 2008 08 327706·
 2008 07 07743.
 2008 06 757694.
 2008 05 77653.
 2008 04 897630·
 2008 03 327499·
 2008 02 717610.
 2008 01 897398·
 2007 12  667577·
 2007 11  617791.
 2007 10  117852·
 2007 09  547621.
 2007 08  897221·
 2007 07  437636·
 2007 06  807538.
 2007 05  237693·
 2007 04  97846·
 2007 03  607808·
 2007 02  947753·
 2007 01  407527.
 2006 12 07950·
 2006 11 197863·
 2006 10 887865·
 2006 09 737792·
 2006 08 647233·
 2006 07 507463.
 2006 06 277285.
 2006 05 177641.
 2006 04 257360.
 2006 03 127589.
 2006 02 987437·
 2006 01 917428.
 2005 12  347665·
 2005 11  847586·
 2005 10  147813.
 2005 09  397705·
 2005 08  677223·
 2005 07  757595.
 2005 06  137667.
 2005 05  307348·
 2005 04  237437·
 2005 03  157621.
 2005 02  587667.
 2005 01  597225.
 2004 12 287834.
 2004 11 617648·
 2004 10 378034·
 2004 09 447672.
 2004 08 337368·
 2004 07 967521.
 2004 06 627361.
 2004 05 297258·
 2004 04 137239.
 2004 03 257377·
 2004 02 727235.
 2004 01 857123·
 2003 12  687260·
 2003 11  807302.
 2003 10  297515.
 2003 09  47160·
 2003 08  247221.
 2003 07  187304.
 2003 06  217313·
 2003 05  67338.
 2003 04  317181.
 2003 03  217385·
 2003 02  627620.
 2003 01  357180·
 2002 12 657650·
 2002 11 947261.
 2002 10 897320.
 2002 09 617305·
 2002 08 256879·
 2002 07 717247.
 2002 06 647305.
 2002 05 777247·
 2002 04 387336·
 2002 03 77466·
 2002 02 777463.
 2002 01 37018·
 2001 12  547336·
 2001 11  837152·
 2001 10  397176·
 2001 09  837325·
 2001 08  477029·
 2001 07  87500.
 2001 06  897377.
 2001 05  857540·
 2001 04  197340·
 2001 03  127665·
 2001 02  897651.
 2001 01  57195.
 2000 12 957791·
 2000 11 527505·
 2000 10 287599.
 2000 09 607522.
 2000 08 257127·
 2000 07 97589·
 2000 06 187336·
 2000 05 967751.
 2000 04 847785.
 2000 03 917759·
 2000 02 977784·
 2000 01 827704.
 1999 12  748037·
 1999 11  288057·
 1999 10  288014·
 1999 09  117584.
 1999 08  197298·
 1999 07  797636·
 1999 06  07492.
 1999 05  27895·
 1999 04  707648.
 1999 03  238027·
 1999 02  248044·
 1999 01  17897·
 1998 12 28220·
 1998 11 688307.
 1998 10 398234·
 1998 09 757906·
 1998 08 157462·
 1998 07 467643·
 1998 06 77712.
 1998 05 208126.
 1998 04 367930·
 1998 03 127987.
 1998 02 177877.
 1998 01 547702.
 1997 12  148108·
 1997 11  508156·
 1997 10  828139·
 1997 09  227838.
 1997 08  247583·
 1997 07  648053·
 1997 06  398214·
 1997 05  928197.
 1997 04  687874.
 1997 03  887862.
 1997 02  517869.
 1997 01  587572.
 1996 12 708219·
 1996 11 788494.
 1996 10 68369.
 1996 09 417808·
 1996 08 817525.
 1996 07 147642·
 1996 06 177692.
 1996 05 837846·
 1996 04 777500.
 1996 03 57905.
 1996 02 227861.
 1996 01 557127·
 1995 12  577700·
 1995 11  817617·
 1995 10  847970·
 1995 09  507666·
 1995 08  477565.
 1995 07  07779·
 1995 06  907853.
 1995 05  877952.
 1995 04  987710·
 1995 03  427610.
 1995 02  547740·
 1995 01  117156.
 1994 12 857539·
 1994 11 157475.
 1994 10 137648.
 1994 09 917525.
 1994 08 87079·
 1994 07 507172·
 1994 06 317110·
 1994 05 207316.
 1994 04 927300·
 1994 03 37176.
 1994 02 957026·
 1994 01 196756·
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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: Multiple Jobholders: 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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