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 Series Title: Multiple Jobholders as a Percent of Employed, Married, Spouse Present, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 474·6
 2012 03 844·8
 2012 02 684·9
 2012 01 524·5
 2011 12  124.8
 2011 11  264.7
 2011 10  774·8
 2011 09  754.7
 2011 08  124.5
 2011 07  364.4
 2011 06  564.4
 2011 05  664.8
 2011 04  974·7
 2011 03  944.9
 2011 02  174·8
 2011 01  694.8
 2010 12 444.7
 2010 11 84.9
 2010 10 994.8
 2010 09 524.6
 2010 08 514.3
 2010 07 94·3
 2010 06 644·3
 2010 05 104.8
 2010 04 464.9
 2010 03 544·9
 2010 02 05·0
 2010 01 624.9
 2009 12  774·7
 2009 11  245·0
 2009 10  215·0
 2009 09  525.2
 2009 08  214.8
 2009 07  264.9
 2009 06  634.7
 2009 05  494·9
 2009 04  775.6
 2009 03  925.4
 2009 02  905·5
 2009 01  485·0
 2008 12 724·8
 2008 11 784·9
 2008 10 905.0
 2008 09 674.9
 2008 08 564·8
 2008 07 674·7
 2008 06 764.8
 2008 05 515.2
 2008 04 35·1
 2008 03 645·1
 2008 02 855·3
 2008 01 694.9
 2007 12  154·9
 2007 11  15·1
 2007 10  815·1
 2007 09  145·0
 2007 08  174·7
 2007 07  354.9
 2007 06  514·8
 2007 05  75.0
 2007 04  585·1
 2007 03  475.1
 2007 02  85.0
 2007 01  914·9
 2006 12 165·4
 2006 11 455.2
 2006 10 915.3
 2006 09 365·1
 2006 08 894.6
 2006 07 604.5
 2006 06 614·1
 2006 05 354.8
 2006 04 34·7
 2006 03 485.0
 2006 02 74.9
 2006 01 74.7
 2005 12  104·8
 2005 11  914.6
 2005 10  434.8
 2005 09  984.8
 2005 08  834·3
 2005 07  964·8
 2005 06  44·8
 2005 05  755·1
 2005 04  245.2
 2005 03  945·1
 2005 02  565·3
 2005 01  344.8
 2004 12 585·2
 2004 11 435·0
 2004 10 855·1
 2004 09 925.0
 2004 08 354.7
 2004 07 234.7
 2004 06 44·7
 2004 05 954·9
 2004 04 315.0
 2004 03 415·2
 2004 02 525.1
 2004 01 124·9
 2003 12  465.0
 2003 11  294.8
 2003 10  905·1
 2003 09  364.9
 2003 08  54.4
 2003 07  444.4
 2003 06  84·5
 2003 05  874.6
 2003 04  604·6
 2003 03  674·9
 2003 02  185·3
 2003 01  95·1
 2002 12 845.3
 2002 11 55.3
 2002 10 575.0
 2002 09 715·1
 2002 08 794·5
 2002 07 904·5
 2002 06 894·4
 2002 05 674.7
 2002 04 704.6
 2002 03 784·8
 2002 02 24.9
 2002 01 174.5
 2001 12  84·8
 2001 11  505·0
 2001 10  84·9
 2001 09  645.0
 2001 08  674·5
 2001 07  144·7
 2001 06  464·7
 2001 05  775·2
 2001 04  495·0
 2001 03  15·1
 2001 02  784.9
 2001 01  524·8
 2000 12 785·0
 2000 11 684.9
 2000 10 924·7
 2000 09 64.8
 2000 08 54·4
 2000 07 964·6
 2000 06 14.6
 2000 05 855.2
 2000 04 65·2
 2000 03 925.3
 2000 02 435·1
 2000 01 565.1
 1999 12  805.6
 1999 11  875·6
 1999 10  815·3
 1999 09  155.3
 1999 08  534.5
 1999 07  394.8
 1999 06  24·7
 1999 05  815·3
 1999 04  765·1
 1999 03  295·3
 1999 02  205.5
 1999 01  975.5
 1998 12 245.6
 1998 11 645·5
 1998 10 735.8
 1998 09 325·2
 1998 08 974.7
 1998 07 744·9
 1998 06 235·0
 1998 05 825.4
 1998 04 215.3
 1998 03 185.7
 1998 02 585·3
 1998 01 655·4
 1997 12  465.6
 1997 11  765·6
 1997 10  925·5
 1997 09  255·3
 1997 08  484·9
 1997 07  555.3
 1997 06  625.3
 1997 05  315.5
 1997 04  265.4
 1997 03  875.4
 1997 02  305·6
 1997 01  785·1
 1996 12 75·7
 1996 11 286.1
 1996 10 865.8
 1996 09 845.5
 1996 08 405.2
 1996 07 615.0
 1996 06 414·8
 1996 05 945.5
 1996 04 25·4
 1996 03 915·8
 1996 02 345.9
 1996 01 775·0
 1995 12  925.4
 1995 11  505.2
 1995 10  275.5
 1995 09  275.2
 1995 08  354.9
 1995 07  954·9
 1995 06  95·0
 1995 05  635.9
 1995 04  835.7
 1995 03  85·7
 1995 02  925·6
 1995 01  295·1
 1994 12 115.1
 1994 11 955·1
 1994 10 145·3
 1994 09 955·1
 1994 08 184.6
 1994 07 884·9
 1994 06 384.8
 1994 05 555·0
 1994 04 315·3
 1994 03 445.1
 1994 02 525·0
 1994 01 274·8
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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, Married, Spouse Present, 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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