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 Series Title: Multiple Jobholders as a Percent of Employed, 25 years and over, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1994 01 585·8
 1994 02 455·9
 1994 03 226·1
 1994 04 105.9
 1994 05 566·0
 1994 06 65.7
 1994 07 105·6
 1994 08 495.8
 1994 09 826·3
 1994 10 276·2
 1994 11 626.1
 1994 12 496.1
 1995 01  875.9
 1995 02  916.4
 1995 03  906·2
 1995 04  546.2
 1995 05  476.5
 1995 06  56.3
 1995 07  326·2
 1995 08  336.1
 1995 09  626.2
 1995 10  996.5
 1995 11  516·3
 1995 12  816.0
 1996 01 575.8
 1996 02 316·4
 1996 03 356·3
 1996 04 176·3
 1996 05 846·5
 1996 06 816.1
 1996 07 976·0
 1996 08 856.0
 1996 09 166.2
 1996 10 586·5
 1996 11 756·6
 1996 12 536.4
 1997 01  556.2
 1997 02  926·2
 1997 03  326.0
 1997 04  176.1
 1997 05  266·3
 1997 06  416·4
 1997 07  546.2
 1997 08  956·0
 1997 09  796·3
 1997 10  856·5
 1997 11  576·3
 1997 12  326.2
 1998 01 906·0
 1998 02 316.1
 1998 03 776·3
 1998 04 966.2
 1998 05 596.4
 1998 06 125.9
 1998 07 765·7
 1998 08 825·7
 1998 09 126·0
 1998 10 836·3
 1998 11 456.2
 1998 12 96·1
 1999 01  996.1
 1999 02  266.2
 1999 03  946·2
 1999 04  205.9
 1999 05  946·0
 1999 06  485.8
 1999 07  615.7
 1999 08  865.5
 1999 09  05·6
 1999 10  816·1
 1999 11  116.0
 1999 12  05·8
 2000 01 416.0
 2000 02 815.8
 2000 03 305·8
 2000 04 825·8
 2000 05 675·7
 2000 06 305.3
 2000 07 325.5
 2000 08 755·4
 2000 09 545·6
 2000 10 355·6
 2000 11 555·5
 2000 12 495·6
 2001 01  25.3
 2001 02  265·7
 2001 03  605·7
 2001 04  975·4
 2001 05  375.4
 2001 06  625.3
 2001 07  375.3
 2001 08  405.1
 2001 09  95.5
 2001 10  225·3
 2001 11  985.2
 2001 12  215·3
 2002 01 935.3
 2002 02 155.4
 2002 03 815·4
 2002 04 85.4
 2002 05 915·3
 2002 06 725.3
 2002 07 495·1
 2002 08 984.9
 2002 09 265·2
 2002 10 495·1
 2002 11 894·9
 2002 12 85.4
 2003 01  505.1
 2003 02  285·4
 2003 03  165.3
 2003 04  825.2
 2003 05  385·3
 2003 06  155·0
 2003 07  665.2
 2003 08  915.1
 2003 09  915.0
 2003 10  435·2
 2003 11  25.0
 2003 12  274.9
 2004 01 335.0
 2004 02 684.9
 2004 03 135.1
 2004 04 105·1
 2004 05 155·0
 2004 06 715.0
 2004 07 115.1
 2004 08 855.2
 2004 09 135·4
 2004 10 595.7
 2004 11 345.5
 2004 12 205·5
 2005 01  275.1
 2005 02  655·3
 2005 03  455·2
 2005 04  105.1
 2005 05  825.0
 2005 06  435.1
 2005 07  325.0
 2005 08  734.9
 2005 09  295·2
 2005 10  775.3
 2005 11  75·1
 2005 12  545.1
 2006 01 435·1
 2006 02 735.1
 2006 03 105.2
 2006 04 225·1
 2006 05 255.2
 2006 06 625·0
 2006 07 24.9
 2006 08 714.7
 2006 09 05·1
 2006 10 15·1
 2006 11 725·0
 2006 12 205.2
 2007 01  175.1
 2007 02  715·3
 2007 03  315.3
 2007 04  145·3
 2007 05  545·0
 2007 06  804.9
 2007 07  204.8
 2007 08  214·9
 2007 09  95.0
 2007 10  595·1
 2007 11  995.0
 2007 12  364·9
 2008 01 94·9
 2008 02 655·0
 2008 03 574·9
 2008 04 785·1
 2008 05 45·0
 2008 06 785.0
 2008 07 75.1
 2008 08 905.2
 2008 09 695·2
 2008 10 75·1
 2008 11 874·9
 2008 12 435.1
 2009 01  55·0
 2009 02  825.1
 2009 03  605·2
 2009 04  305.2
 2009 05  374·9
 2009 06  604.7
 2009 07  144.7
 2009 08  704·4
 2009 09  154·7
 2009 10  244·9
 2009 11  604.7
 2009 12  84·7
 2010 01 154.6
 2010 02 784.9
 2010 03 395.0
 2010 04 124·8
 2010 05 374·9
 2010 06 564.7
 2010 07 114.3
 2010 08 774.3
 2010 09 74·3
 2010 10 134·3
 2010 11 664.3
 2010 12 224·5
 2011 01  754.4
 2011 02  324·7
 2011 03  164.6
 2011 04  914·5
 2011 05  164·8
 2011 06  184·6
 2011 07  984.5
 2011 08  534·5
 2011 09  314.7
 2011 10  54·6
 2011 11  774.7
 2011 12  34·6
 2012 01 454·7
 2012 02 474·7
 2012 03 394.7
 2012 04 594.8
 2012 05 84.9
 2012 06 284.4
 2012 07 984.5
 2012 08 654·5
 2012 09 974.5
 2012 10 534·6
 2012 11 914.7
 2012 12 924.6
 2013 01  114·5
 2013 02  545·0
 2013 03  824·8
 2013 04  324.7
 2013 05  754.7
 2013 06  884.6
 2013 07  584.6
 2013 08  64.4
 2013 09  414·6
 2013 10  374·5
 2013 11  324·4
 2013 12  564.3
 2014 01 834·2
 2014 02 74.6
 2014 03 424·5
 2014 04 534.6
 2014 05 24·7
 2014 06 294.4
 2014 07 514·3
 2014 08 904·3
 2014 09 234.5
 2014 10 614.8
 2014 11 474.7
 2014 12 874.6
 2015 01  974·6
 2015 02  844·6
 2015 03  434·6
 2015 04  884.2
 2015 05  994.4
 2015 06  54·3
 2015 07  774·5
 2015 08  614·3
 2015 09  304.6
 2015 10  554.8
 2015 11  114·7
 2015 12  24.9
 2016 01 144.6
 2016 02 914.6
 2016 03 334.7
 2016 04 294.5
 2016 05 34·6
 2016 06 944.3
 2016 07 564.3
 2016 08 864·4
 2016 09 714·6
 2016 10 724.8
 2016 11 194·7
 2016 12 424·5
 2017 01  194·6
 2017 02  565·0
 2017 03  845·1
 2017 04  924·7
 2017 05  734.8
 2017 06  24·5
 2017 07  394·4
 2017 08  554·3
 2017 09  824·4


 2017 10  924·5
 2017 11  974·4
 2017 12  754·7
 2018 01 234.9
 2018 02 335.1
 2018 03 954·9
 2018 04 204·7
 2018 05 954.5
 2018 06 574.4
 2018 07 974·5
 2018 08 864·4
 2018 09 244.6
 2018 10 204.9
 2018 11 914·8
 2018 12 915·0
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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, 25 years and over, Men: 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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