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 Series Title: Multiple Jobholders, Hours Vary On Primary Or Secondary Job, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 84634.
 2012 03 90631.
 2012 02 49696.
 2012 01 81650.
 2011 12  34711·
 2011 11  54671·
 2011 10  90659.
 2011 09  23655·
 2011 08  13557·
 2011 07  78557·
 2011 06  95619·
 2011 05  26629·
 2011 04  72626·
 2011 03  45537·
 2011 02  76628·
 2011 01  34585·
 2010 12 85597·
 2010 11 62564·
 2010 10 71573·
 2010 09 17541.
 2010 08 53603·
 2010 07 59604.
 2010 06 43728.
 2010 05 68592.
 2010 04 1684.
 2010 03 94618.
 2010 02 81684·
 2010 01 7666·
 2009 12  81670.
 2009 11  48603·
 2009 10  96640.
 2009 09  78769.
 2009 08  66666·
 2009 07  28707·
 2009 06  27722·
 2009 05  50691·
 2009 04  58715·
 2009 03  65698.
 2009 02  36777·
 2009 01  17795.
 2008 12 82653.
 2008 11 17744·
 2008 10 13698.
 2008 09 98717·
 2008 08 89805·
 2008 07 64859.
 2008 06 68820·
 2008 05 38739·
 2008 04 53741·
 2008 03 13724.
 2008 02 41713.
 2008 01 5748·
 2007 12  75746.
 2007 11  97764.
 2007 10  94765·
 2007 09  94804.
 2007 08  81812·
 2007 07  71850.
 2007 06  15771·
 2007 05  24711.
 2007 04  21746·
 2007 03  18734·
 2007 02  17784.
 2007 01  39689.
 2006 12 70811.
 2006 11 43798.
 2006 10 38862·
 2006 09 8887.
 2006 08 28769.
 2006 07 79923·
 2006 06 41891.
 2006 05 25885.
 2006 04 22815.
 2006 03 82907·
 2006 02 13839·
 2006 01 9806·
 2005 12  1784·
 2005 11  34865.
 2005 10  68881·
 2005 09  6913.
 2005 08  42867.
 2005 07  42827·
 2005 06  44859.
 2005 05  82851.
 2005 04  43872·
 2005 03  37896.
 2005 02  3889.
 2005 01  34809·
 2004 12 31963·
 2004 11 75887·
 2004 10 331030.
 2004 09 80971·
 2004 08 56870·
 2004 07 39871.
 2004 06 47962.
 2004 05 64872.
 2004 04 94760.
 2004 03 35751.
 2004 02 83785·
 2004 01 55823.
 2003 12  44797·
 2003 11  95860.
 2003 10  4837.
 2003 09  47839.
 2003 08  33876·
 2003 07  75944.
 2003 06  97860.
 2003 05  60772.
 2003 04  10783.
 2003 03  57798.
 2003 02  77836·
 2003 01  38772.
 2002 12 51868.
 2002 11 47728·
 2002 10 80744.
 2002 09 49835·
 2002 08 57784.
 2002 07 78834·
 2002 06 69892.
 2002 05 89804·
 2002 04 52786·
 2002 03 6766·
 2002 02 33758.
 2002 01 75819·
 2001 12  87782.
 2001 11  13754.
 2001 10  84837·
 2001 09  53890.
 2001 08  39775·
 2001 07  4806.
 2001 06  60740·
 2001 05  91879·
 2001 04  6755.
 2001 03  12716·
 2001 02  25793.
 2001 01  84788.
 2000 12 14842·
 2000 11 94806.
 2000 10 65792·
 2000 09 51809·
 2000 08 14797.
 2000 07 31808.
 2000 06 94720·
 2000 05 35780.
 2000 04 81864·
 2000 03 30796.
 2000 02 49919.
 2000 01 6865·
 1999 12  16797.
 1999 11  22824·
 1999 10  94868.
 1999 09  58766·
 1999 08  44777·
 1999 07  64890·
 1999 06  171019.
 1999 05  10823·
 1999 04  14841.
 1999 03  38864.
 1999 02  30932·
 1999 01  7928·
 1998 12 4898·
 1998 11 50906·
 1998 10 71817·
 1998 09 18827.
 1998 08 13796·
 1998 07 32821.
 1998 06 4799.
 1998 05 36912·
 1998 04 66839.
 1998 03 41854·
 1998 02 15847·
 1998 01 80861.
 1997 12  14795·
 1997 11  58906.
 1997 10  19972·
 1997 09  96894·
 1997 08  32909·
 1997 07  89920.
 1997 06  52949·
 1997 05  52875.
 1997 04  21762·
 1997 03  68755·
 1997 02  78852·
 1997 01  42845.
 1996 12 6882.
 1996 11 49963.
 1996 10 84984·
 1996 09 85914·
 1996 08 37848.
 1996 07 15828.
 1996 06 84960.
 1996 05 26884·
 1996 04 90796·
 1996 03 73702.
 1996 02 16831.
 1996 01 33699·
 1995 12  66809·
 1995 11  54757.
 1995 10  41769.
 1995 09  1790·
 1995 08  88743.
 1995 07  14761.
 1995 06  49719.
 1995 05  49763·
 1995 04  9721.
 1995 03  36709·
 1995 02  52742.
 1995 01  22596·
 1994 12 4671·
 1994 11 26649·
 1994 10 88720·
 1994 09 87697·
 1994 08 72867·
 1994 07 15720.
 1994 06 19755.
 1994 05 40694·
 1994 04 39682.
 1994 03 61628.
 1994 02 34703.
 1994 01 99679·
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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, 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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