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 Series Title: Multiple Jobholders as a Percent of Employed, White Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 135·4
 2012 03 85.6
 2012 02 575·7
 2012 01 75.5
 2011 12  285.4
 2011 11  935·6
 2011 10  765·6
 2011 09  825.6
 2011 08  975.4
 2011 07  635.5
 2011 06  825.6
 2011 05  435.7
 2011 04  705.6
 2011 03  15·5
 2011 02  905·5
 2011 01  345·4
 2010 12 225·7
 2010 11 135·8
 2010 10 385.7
 2010 09 255.5
 2010 08 555·3
 2010 07 315·4
 2010 06 875·6
 2010 05 106.0
 2010 04 935.8
 2010 03 125·7
 2010 02 265.9
 2010 01 75·6
 2009 12  865.7
 2009 11  366.0
 2009 10  685.7
 2009 09  615·8
 2009 08  115·6
 2009 07  126·0
 2009 06  515.7
 2009 05  415.8
 2009 04  686.2
 2009 03  706·3
 2009 02  386·3
 2009 01  415.7
 2008 12 815.6
 2008 11 675.9
 2008 10 165·9
 2008 09 815·7
 2008 08 25·6
 2008 07 855.8
 2008 06 985.8
 2008 05 45·8
 2008 04 65·6
 2008 03 305·8
 2008 02 236·1
 2008 01 795·7
 2007 12  935·8
 2007 11  346·0
 2007 10  536.1
 2007 09  15·8
 2007 08  885.5
 2007 07  545·9
 2007 06  765.9
 2007 05  896·1
 2007 04  426.1
 2007 03  716.0
 2007 02  55·9
 2007 01  875·8
 2006 12 306.0
 2006 11 936.1
 2006 10 786·0
 2006 09 646.2
 2006 08 545.6
 2006 07 495·7
 2006 06 585·3
 2006 05 155·9
 2006 04 375·6
 2006 03 985·8
 2006 02 325·7
 2006 01 585·6
 2005 12  316.0
 2005 11  215·8
 2005 10  146·0
 2005 09  375.9
 2005 08  105·3
 2005 07  245.7
 2005 06  425.7
 2005 05  225.8
 2005 04  765.8
 2005 03  406.0
 2005 02  775·9
 2005 01  75·7
 2004 12 546.0
 2004 11 245·8
 2004 10 96.3
 2004 09 116.0
 2004 08 935·7
 2004 07 595·8
 2004 06 505.9
 2004 05 785·8
 2004 04 705·8
 2004 03 506.0
 2004 02 385·8
 2004 01 775·7
 2003 12  856.0
 2003 11  316·0
 2003 10  366·2
 2003 09  35.9
 2003 08  635·7
 2003 07  565.7
 2003 06  325·8
 2003 05  745.6
 2003 04  555·6
 2003 03  96.0
 2003 02  386·2
 2003 01  356·0
 2002 12 356.4
 2002 11 956.2
 2002 10 936.0
 2002 09 555.8
 2002 08 55·5
 2002 07 475·8
 2002 06 605·6
 2002 05 275·7
 2002 04 905·7
 2002 03 215.8
 2002 02 256·0
 2002 01 725.5
 2001 12  405·8
 2001 11  985.8
 2001 10  35·7
 2001 09  335.8
 2001 08  315.5
 2001 07  855.8
 2001 06  325·7
 2001 05  805·9
 2001 04  625·6
 2001 03  145·9
 2001 02  735.8
 2001 01  55.7
 2000 12 606·0
 2000 11 415·8
 2000 10 155.8
 2000 09 305.8
 2000 08 745.3
 2000 07 495·7
 2000 06 715.6
 2000 05 975·9
 2000 04 816·0
 2000 03 446·1
 2000 02 786·0
 2000 01 775·7
 1999 12  806.5
 1999 11  566·4
 1999 10  06.3
 1999 09  626.2
 1999 08  975.6
 1999 07  445.9
 1999 06  255·8
 1999 05  736·4
 1999 04  836·0
 1999 03  896·3
 1999 02  656.4
 1999 01  536.3
 1998 12 126·7
 1998 11 966.6
 1998 10 586.6
 1998 09 716.3
 1998 08 855.8
 1998 07 996·0
 1998 06 686.1
 1998 05 226·3
 1998 04 276.5
 1998 03 546.5
 1998 02 816.5
 1998 01 256·5
 1997 12  906·5
 1997 11  416·5
 1997 10  116.4
 1997 09  246·2
 1997 08  486.0
 1997 07  696.4
 1997 06  966·4
 1997 05  886.6
 1997 04  16.6
 1997 03  686.7
 1997 02  996.8
 1997 01  116·2
 1996 12 756·9
 1996 11 957·1
 1996 10 87·0
 1996 09 136·4
 1996 08 216.2
 1996 07 326·2
 1996 06 356·3
 1996 05 376.3
 1996 04 146·1
 1996 03 856.8
 1996 02 186·7
 1996 01 526.1
 1995 12  536·7
 1995 11  866·4
 1995 10  206·6
 1995 09  546.4
 1995 08  666.2
 1995 07  936·2
 1995 06  306.4
 1995 05  606·9
 1995 04  16.5
 1995 03  856.5
 1995 02  606.5
 1995 01  166·0
 1994 12 356·3
 1994 11 716.2
 1994 10 486·3
 1994 09 896·3
 1994 08 675.8
 1994 07 816.1
 1994 06 565·9
 1994 05 756.2
 1994 04 246.3
 1994 03 726.1
 1994 02 746.2
 1994 01 925.8
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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 as a Percent of Employed, White 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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