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 Series Title: Multiple Jobholders as a Percent of Employed, Hispanic or Latino Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 83·3
 2012 03 143·0
 2012 02 893·3
 2012 01 32.9
 2011 12  533·1
 2011 11  352.9
 2011 10  503.2
 2011 09  272·7
 2011 08  772·4
 2011 07  672·9
 2011 06  242·7
 2011 05  623·5
 2011 04  302·9
 2011 03  913.0
 2011 02  253.3
 2011 01  523.0
 2010 12 872·9
 2010 11 153·0
 2010 10 902.9
 2010 09 673·1
 2010 08 503.1
 2010 07 692·9
 2010 06 823.0
 2010 05 02·7
 2010 04 433.1
 2010 03 113·4
 2010 02 883.5
 2010 01 713·0
 2009 12  172·9
 2009 11  223·4
 2009 10  233·1
 2009 09  243·3
 2009 08  472.5
 2009 07  92·9
 2009 06  243·0
 2009 05  282.9
 2009 04  333·3
 2009 03  32·9
 2009 02  533·5
 2009 01  772·9
 2008 12 23.5
 2008 11 623.6
 2008 10 983·4
 2008 09 903.9
 2008 08 33·2
 2008 07 662·8
 2008 06 732.6
 2008 05 122.6
 2008 04 122.8
 2008 03 222.5
 2008 02 163·0
 2008 01 113.0
 2007 12  282·9
 2007 11  633·4
 2007 10  883.3
 2007 09  822·9
 2007 08  792.6
 2007 07  442·7
 2007 06  792·5
 2007 05  442·8
 2007 04  133.0
 2007 03  482·6
 2007 02  12.9
 2007 01  412·8
 2006 12 72.6
 2006 11 802.6
 2006 10 912·9
 2006 09 422·9
 2006 08 602.7
 2006 07 732·5
 2006 06 132·9
 2006 05 413.2
 2006 04 983.2
 2006 03 833.1
 2006 02 553.0
 2006 01 582.3
 2005 12  722·9
 2005 11  933.3
 2005 10  302·8
 2005 09  362·7
 2005 08  572·9
 2005 07  72·7
 2005 06  753.1
 2005 05  452·7
 2005 04  532·9
 2005 03  593.1
 2005 02  533.0
 2005 01  793.1
 2004 12 853·5
 2004 11 42·9
 2004 10 533.4
 2004 09 563.1
 2004 08 53.4
 2004 07 253.0
 2004 06 863.1
 2004 05 223.3
 2004 04 873.8
 2004 03 283.6
 2004 02 923.8
 2004 01 453·5
 2003 12  322.6
 2003 11  452·4
 2003 10  322.8
 2003 09  202.7
 2003 08  653·1
 2003 07  323·3
 2003 06  963·2
 2003 05  653·2
 2003 04  373.4
 2003 03  713·4
 2003 02  953·7
 2003 01  253.6
 2002 12 223·6
 2002 11 693.2
 2002 10 673.2
 2002 09 682.9
 2002 08 222·7
 2002 07 573·5
 2002 06 763·5
 2002 05 903·8
 2002 04 623·9
 2002 03 924·2
 2002 02 104.0
 2002 01 83.7
 2001 12  923.5
 2001 11  552·8
 2001 10  802.8
 2001 09  683.4
 2001 08  883·6
 2001 07  543·4
 2001 06  263.9
 2001 05  383.8
 2001 04  493·6
 2001 03  193·6
 2001 02  103.4
 2001 01  133.0
 2000 12 23·5
 2000 11 83.1
 2000 10 193·9
 2000 09 113·4
 2000 08 973·1
 2000 07 23·3
 2000 06 683.5
 2000 05 783.5
 2000 04 93·4
 2000 03 83·6
 2000 02 934.0
 2000 01 814·1
 1999 12  383·2
 1999 11  573·3
 1999 10  572·7
 1999 09  152·6
 1999 08  103.2
 1999 07  63.8
 1999 06  504·0
 1999 05  03·3
 1999 04  763.0
 1999 03  374.0
 1999 02  824.3
 1999 01  784.4
 1998 12 103·8
 1998 11 563.7
 1998 10 933·0
 1998 09 213.1
 1998 08 133·3
 1998 07 953.4
 1998 06 454·0
 1998 05 214·4
 1998 04 114.0
 1998 03 114·0
 1998 02 263·9
 1998 01 974.1
 1997 12  534·0
 1997 11  843·9
 1997 10  494.0
 1997 09  954.1
 1997 08  163.5
 1997 07  233.9
 1997 06  524·2
 1997 05  833.9
 1997 04  994.0
 1997 03  594.1
 1997 02  974.3
 1997 01  553·4
 1996 12 293.7
 1996 11 473.1
 1996 10 733.5
 1996 09 303·3
 1996 08 543.2
 1996 07 703.7
 1996 06 933.6
 1996 05 534.4
 1996 04 523.4
 1996 03 353·8
 1996 02 934.1
 1996 01 933·5
 1995 12  223.4
 1995 11  733·7
 1995 10  393·6
 1995 09  434.1
 1995 08  893.9
 1995 07  403·6
 1995 06  164.2
 1995 05  233.3
 1995 04  53.8
 1995 03  194·1
 1995 02  383·5
 1995 01  773.9
 1994 12 443·7
 1994 11 164·0
 1994 10 443.3
 1994 09 744·2
 1994 08 63·5
 1994 07 622·7
 1994 06 953.6
 1994 05 93.7
 1994 04 184·0
 1994 03 154·3
 1994 02 803.9
 1994 01 03·9
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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, Hispanic or Latino 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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