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 Series Title: Multiple Jobholders, Hours Vary On Primary Or Secondary Job, Women: NSA
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 2012 04 4500·
 2012 03 60489.
 2012 02 17558·
 2012 01 44566·
 2011 12  38537·
 2011 11  95591.
 2011 10  17592·
 2011 09  32559.
 2011 08  50504.
 2011 07  41561.
 2011 06  30534·
 2011 05  31501.
 2011 04  93586.
 2011 03  79511·
 2011 02  70569.
 2011 01  85581·
 2010 12 39567·
 2010 11 17549·
 2010 10 74531.
 2010 09 64603·
 2010 08 91563·
 2010 07 85540·
 2010 06 5604·
 2010 05 61584.
 2010 04 73571·
 2010 03 41508·
 2010 02 50587·
 2010 01 96520·
 2009 12  36528·
 2009 11  66567.
 2009 10  24577·
 2009 09  13612.
 2009 08  55548·
 2009 07  67585.
 2009 06  64562·
 2009 05  81563.
 2009 04  31633·
 2009 03  76579.
 2009 02  32660·
 2009 01  94580.
 2008 12 88562.
 2008 11 48616·
 2008 10 17572.
 2008 09 71618.
 2008 08 78548.
 2008 07 66567·
 2008 06 31619·
 2008 05 57557.
 2008 04 76592·
 2008 03 37564.
 2008 02 12658.
 2008 01 21621.
 2007 12  82598·
 2007 11  92650.
 2007 10  24613·
 2007 09  56581·
 2007 08  21542·
 2007 07  87636.
 2007 06  53600·
 2007 05  81623.
 2007 04  45700·
 2007 03  5571.
 2007 02  14650.
 2007 01  42653·
 2006 12 27795·
 2006 11 51786.
 2006 10 44847.
 2006 09 7745.
 2006 08 69681.
 2006 07 58706.
 2006 06 5658·
 2006 05 71710.
 2006 04 97624.
 2006 03 83704.
 2006 02 86664.
 2006 01 51662·
 2005 12  60671.
 2005 11  6659.
 2005 10  0728.
 2005 09  94747·
 2005 08  33633·
 2005 07  34767·
 2005 06  84619·
 2005 05  67653.
 2005 04  18679·
 2005 03  0722.
 2005 02  1815·
 2005 01  65688·
 2004 12 40722.
 2004 11 60644·
 2004 10 40750·
 2004 09 6742.
 2004 08 49724.
 2004 07 95733.
 2004 06 12695.
 2004 05 36611.
 2004 04 20657.
 2004 03 12648·
 2004 02 57674·
 2004 01 23624·
 2003 12  54696.
 2003 11  43716.
 2003 10  37717·
 2003 09  62700·
 2003 08  76733.
 2003 07  44743.
 2003 06  39687.
 2003 05  71692·
 2003 04  37660.
 2003 03  97581.
 2003 02  77687·
 2003 01  95693·
 2002 12 12716.
 2002 11 9759.
 2002 10 89629.
 2002 09 2675.
 2002 08 1602.
 2002 07 11650.
 2002 06 37670·
 2002 05 88637.
 2002 04 30645·
 2002 03 60590.
 2002 02 9644.
 2002 01 71549.
 2001 12  49652.
 2001 11  37675.
 2001 10  19659·
 2001 09  95601.
 2001 08  34679.
 2001 07  50694·
 2001 06  4697·
 2001 05  29712·
 2001 04  84538·
 2001 03  29643.
 2001 02  26572.
 2001 01  68602.
 2000 12 26594·
 2000 11 32668·
 2000 10 75632.
 2000 09 30645.
 2000 08 10551.
 2000 07 40645·
 2000 06 63559·
 2000 05 60684·
 2000 04 11645.
 2000 03 60599.
 2000 02 27642·
 2000 01 28594.
 1999 12  29698·
 1999 11  23616·
 1999 10  30643·
 1999 09  26654·
 1999 08  90641.
 1999 07  86569·
 1999 06  62709·
 1999 05  74714.
 1999 04  45605·
 1999 03  31659·
 1999 02  33631.
 1999 01  17686.
 1998 12 68715·
 1998 11 64657.
 1998 10 83670.
 1998 09 24634·
 1998 08 60588.
 1998 07 17636.
 1998 06 74652·
 1998 05 88694.
 1998 04 47641·
 1998 03 47617·
 1998 02 94719·
 1998 01 29653·
 1997 12  78693.
 1997 11  35562.
 1997 10  56586.
 1997 09  90634.
 1997 08  30618.
 1997 07  88705.
 1997 06  98676·
 1997 05  42733.
 1997 04  3590.
 1997 03  37643.
 1997 02  82655·
 1997 01  78582·
 1996 12 21687·
 1996 11 40735·
 1996 10 98656·
 1996 09 18633·
 1996 08 36630.
 1996 07 77615·
 1996 06 56533·
 1996 05 5524.
 1996 04 23506.
 1996 03 56511.
 1996 02 96625.
 1996 01 8538·
 1995 12  82594.
 1995 11  8541.
 1995 10  80504.
 1995 09  22506·
 1995 08  38479.
 1995 07  89564·
 1995 06  97555·
 1995 05  67552.
 1995 04  43524.
 1995 03  82452.
 1995 02  58509·
 1995 01  85478.
 1994 12 70478.
 1994 11 93454.
 1994 10 2516·
 1994 09 46419·
 1994 08 22598.
 1994 07 54582·
 1994 06 93482.
 1994 05 45493·
 1994 04 23477·
 1994 03 20394.
 1994 02 17478·
 1994 01 0479.
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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, Hours Vary On Primary Or Secondary Job, 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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