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 Series Title: Multiple Jobholders, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 683446.
 2012 03 243601·
 2012 02 373695.
 2012 01 403459.
 2011 12  923506.
 2011 11  523578·
 2011 10  833574·
 2011 09  773519.
 2011 08  73305.
 2011 07  33353·
 2011 06  553461.
 2011 05  383593.
 2011 04  643585·
 2011 03  603517.
 2011 02  663518·
 2011 01  673443·
 2010 12 393625·
 2010 11 283614·
 2010 10 543640·
 2010 09 333540.
 2010 08 303289·
 2010 07 403373·
 2010 06 813422.
 2010 05 293702.
 2010 04 653651·
 2010 03 513527·
 2010 02 363707.
 2010 01 763527·
 2009 12  933517.
 2009 11  453761·
 2009 10  313645·
 2009 09  183672.
 2009 08  903566.
 2009 07  263753·
 2009 06  43593·
 2009 05  223725.
 2009 04  554006.
 2009 03  283991·
 2009 02  193973.
 2009 01  853687·
 2008 12 153689·
 2008 11 63816.
 2008 10 623859·
 2008 09 243727·
 2008 08 203666·
 2008 07 423762.
 2008 06 473805·
 2008 05 843812·
 2008 04 463779·
 2008 03 443808.
 2008 02 133928.
 2008 01 353746·
 2007 12  923843.
 2007 11  423952.
 2007 10  213919·
 2007 09  693798·
 2007 08  833531·
 2007 07  933799.
 2007 06  593761·
 2007 05  73858·
 2007 04  723871.
 2007 03  783884·
 2007 02  413868·
 2007 01  923784.
 2006 12 323984·
 2006 11 54055·
 2006 10 53959.
 2006 09 943938·
 2006 08 643609·
 2006 07 63645.
 2006 06 123402.
 2006 05 73778.
 2006 04 943565·
 2006 03 363772·
 2006 02 523706.
 2006 01 503626·
 2005 12  723871·
 2005 11  773732·
 2005 10  373797.
 2005 09  663777.
 2005 08  733399·
 2005 07  363639·
 2005 06  53651·
 2005 05  263607.
 2005 04  993680·
 2005 03  453789·
 2005 02  183800·
 2005 01  233551.
 2004 12 733774·
 2004 11 613637·
 2004 10 663866·
 2004 09 773692.
 2004 08 463479·
 2004 07 643607·
 2004 06 603635·
 2004 05 313605.
 2004 04 953564·
 2004 03 623675·
 2004 02 383629.
 2004 01 563491·
 2003 12  193711·
 2003 11  853684·
 2003 10  643738·
 2003 09  443562.
 2003 08  443484·
 2003 07  923467·
 2003 06  253535·
 2003 05  153498.
 2003 04  203425·
 2003 03  643613·
 2003 02  343812·
 2003 01  133662.
 2002 12 223802·
 2002 11 63741.
 2002 10 303597.
 2002 09 73532·
 2002 08 513346.
 2002 07 513499·
 2002 06 743439.
 2002 05 923511·
 2002 04 333519·
 2002 03 563614.
 2002 02 553738·
 2002 01 873347.
 2001 12  173561.
 2001 11  13518·
 2001 10  863443·
 2001 09  353451·
 2001 08  793301·
 2001 07  953553·
 2001 06  53483.
 2001 05  63626.
 2001 04  203479.
 2001 03  673719·
 2001 02  743636·
 2001 01  953506.
 2000 12 643825·
 2000 11 763652.
 2000 10 813608·
 2000 09 193563·
 2000 08 633259·
 2000 07 23549.
 2000 06 403445·
 2000 05 243667.
 2000 04 913700·
 2000 03 523726.
 2000 02 883719.
 2000 01 783589.
 1999 12  504011·
 1999 11  593886.
 1999 10  883769.
 1999 09  753685·
 1999 08  633389.
 1999 07  783481·
 1999 06  283421.
 1999 05  363778.
 1999 04  833635.
 1999 03  913788.
 1999 02  213780·
 1999 01  33754.
 1998 12 844057.
 1998 11 53975·
 1998 10 53964·
 1998 09 463750·
 1998 08 663447·
 1998 07 513544.
 1998 06 423579·
 1998 05 603688·
 1998 04 553726·
 1998 03 863800.
 1998 02 213734.
 1998 01 633707.
 1997 12  23896.
 1997 11  923844.
 1997 10  543781.
 1997 09  993618.
 1997 08  813460.
 1997 07  763687.
 1997 06  803700.
 1997 05  383800.
 1997 04  943751·
 1997 03  683807.
 1997 02  613777·
 1997 01  733496.
 1996 12 653926·
 1996 11 274041·
 1996 10 853993·
 1996 09 243611.
 1996 08 453436·
 1996 07 323444·
 1996 06 643486.
 1996 05 363494·
 1996 04 93383.
 1996 03 923788·
 1996 02 383711·
 1996 01 763370.
 1995 12  583735·
 1995 11  373572·
 1995 10  693641·
 1995 09  403510·
 1995 08  173376.
 1995 07  243439.
 1995 06  443520·
 1995 05  463727·
 1995 04  363599.
 1995 03  353611·
 1995 02  773617·
 1995 01  393301.
 1994 12 923507.
 1994 11 763407.
 1994 10 53488·
 1994 09 873387·
 1994 08 833130·
 1994 07 803319.
 1994 06 913234·
 1994 05 853343.
 1994 04 373459.
 1994 03 33287.
 1994 02 243334·
 1994 01 523129.
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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, 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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