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 Series Title: Multiple Jobholders, Primary and Secondary Jobs Both Part Time, Women: NSA
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 2012 04 791293·
 2012 03 981364.
 2012 02 331334·
 2012 01 41275.
 2011 12  571301.
 2011 11  401281·
 2011 10  21263.
 2011 09  241132.
 2011 08  651032.
 2011 07  431098.
 2011 06  351156.
 2011 05  51214.
 2011 04  511213.
 2011 03  881261·
 2011 02  451236·
 2011 01  911125·
 2010 12 921320·
 2010 11 831262.
 2010 10 681203.
 2010 09 521154.
 2010 08 891031.
 2010 07 581122·
 2010 06 681196·
 2010 05 811312·
 2010 04 651288.
 2010 03 711210·
 2010 02 341296·
 2010 01 981199.
 2009 12  731268·
 2009 11  31282.
 2009 10  771180·
 2009 09  471149·
 2009 08  861127·
 2009 07  611175·
 2009 06  361159.
 2009 05  971199·
 2009 04  71366.
 2009 03  771345·
 2009 02  741258.
 2009 01  421158·
 2008 12 591136·
 2008 11 61225·
 2008 10 781264.
 2008 09 21206.
 2008 08 931141.
 2008 07 321161·
 2008 06 621222·
 2008 05 201250·
 2008 04 861225·
 2008 03 591212·
 2008 02 631263.
 2008 01 651135.
 2007 12  361303·
 2007 11  211233.
 2007 10  441213·
 2007 09  321173.
 2007 08  701015.
 2007 07  731181·
 2007 06  931266·
 2007 05  401288.
 2007 04  381263·
 2007 03  981344·
 2007 02  231278.
 2007 01  331235.
 2006 12 151193.
 2006 11 21296·
 2006 10 721120·
 2006 09 801201.
 2006 08 21075.
 2006 07 161112.
 2006 06 31009·
 2006 05 751245·
 2006 04 241219·
 2006 03 971242·
 2006 02 41195.
 2006 01 381108·
 2005 12  311177·
 2005 11  271137·
 2005 10  871143.
 2005 09  121193·
 2005 08  99996·
 2005 07  131078·
 2005 06  911159.
 2005 05  681197.
 2005 04  291130.
 2005 03  861224.
 2005 02  771160·
 2005 01  971064.
 2004 12 451205.
 2004 11 21120.
 2004 10 361201.
 2004 09 211117.
 2004 08 981034.
 2004 07 441137·
 2004 06 781181·
 2004 05 831136.
 2004 04 641082.
 2004 03 191151.
 2004 02 421176·
 2004 01 521117·
 2003 12  421141.
 2003 11  561158.
 2003 10  911261·
 2003 09  231169·
 2003 08  591043·
 2003 07  141122·
 2003 06  131063.
 2003 05  141097·
 2003 04  641080.
 2003 03  751168·
 2003 02  211202.
 2003 01  701182·
 2002 12 341232·
 2002 11 431129·
 2002 10 521232·
 2002 09 591088·
 2002 08 67984·
 2002 07 521100.
 2002 06 691017·
 2002 05 771063.
 2002 04 911029·
 2002 03 581105·
 2002 02 611144·
 2002 01 421039·
 2001 12  551076.
 2001 11  431025·
 2001 10  401080.
 2001 09  981065.
 2001 08  34907.
 2001 07  131065·
 2001 06  451023·
 2001 05  141101·
 2001 04  291045·
 2001 03  991186.
 2001 02  371168.
 2001 01  851078.
 2000 12 651191·
 2000 11 591036·
 2000 10 51060·
 2000 09 291039.
 2000 08 94976·
 2000 07 74998.
 2000 06 621060·
 2000 05 921072.
 2000 04 891089·
 2000 03 511203·
 2000 02 461135.
 2000 01 411072·
 1999 12  521252.
 1999 11  211208·
 1999 10  191168.
 1999 09  711186·
 1999 08  71014·
 1999 07  411131·
 1999 06  70979·
 1999 05  21146·
 1999 04  61119.
 1999 03  931168·
 1999 02  111187.
 1999 01  771101.
 1998 12 241255·
 1998 11 831250.
 1998 10 811192.
 1998 09 651101.
 1998 08 61939.
 1998 07 441024·
 1998 06 411095.
 1998 05 611075.
 1998 04 421091.
 1998 03 301158·
 1998 02 811129·
 1998 01 841175.
 1997 12  181210.
 1997 11  251337·
 1997 10  121207·
 1997 09  781087·
 1997 08  65990.
 1997 07  351075·
 1997 06  741157·
 1997 05  121167·
 1997 04  821267.
 1997 03  921188·
 1997 02  281225·
 1997 01  801113.
 1996 12 951320.
 1996 11 511314·
 1996 10 621314·
 1996 09 11208.
 1996 08 541001·
 1996 07 961128·
 1996 06 901051·
 1996 05 201151·
 1996 04 351146·
 1996 03 311246·
 1996 02 501207·
 1996 01 61107.
 1995 12  391227·
 1995 11  901165·
 1995 10  31257·
 1995 09  521173.
 1995 08  901051.
 1995 07  291034.
 1995 06  391113·
 1995 05  781225·
 1995 04  391188·
 1995 03  291251.
 1995 02  701164·
 1995 01  291077.
 1994 12 611170.
 1994 11 971165.
 1994 10 341167·
 1994 09 721134·
 1994 08 57963.
 1994 07 641032.
 1994 06 941041.
 1994 05 31165.
 1994 04 531101·
 1994 03 881123·
 1994 02 371085.
 1994 01 40920.
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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, Primary and Secondary Jobs Both Part Time, 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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