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 Series Title: Population Level: 35-44 years, 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 603802.
 2012 03 163793.
 2012 02 813785·
 2012 01 493776.
 2011 12  413746.
 2011 11  803738.
 2011 10  903731·
 2011 09  273722.
 2011 08  263713.
 2011 07  793705·
 2011 06  393697.
 2011 05  423690·
 2011 04  653683·
 2011 03  963675.
 2011 02  383667·
 2011 01  383659.
 2010 12 343835.
 2010 11 373826·
 2010 10 273817·
 2010 09 823807·
 2010 08 333797·
 2010 07 343787.
 2010 06 673778·
 2010 05 713768.
 2010 04 883759.
 2010 03 433750·
 2010 02 483741.
 2010 01 223732.
 2009 12  483789·
 2009 11  473780.
 2009 10  813771·
 2009 09  803760·
 2009 08  893750·
 2009 07  513740·
 2009 06  63730·
 2009 05  143720·
 2009 04  123710.
 2009 03  883700.
 2009 02  843691.
 2009 01  183681.
 2008 12 423708·
 2008 11 143700.
 2008 10 33691.
 2008 09 113681·
 2008 08 293671·
 2008 07 113661.
 2008 06 773651·
 2008 05 383641·
 2008 04 493631.
 2008 03 853620·
 2008 02 433610.
 2008 01 673600·
 2007 12  23628.
 2007 11  683616·
 2007 10  653605.
 2007 09  933592·
 2007 08  143580·
 2007 07  173568.
 2007 06  293556·
 2007 05  353545·
 2007 04  343533.
 2007 03  133521·
 2007 02  503510·
 2007 01  373498.
 2006 12 393473.
 2006 11 633463.
 2006 10 643453.
 2006 09 683441·
 2006 08 293430·
 2006 07 993419·
 2006 06 353408.
 2006 05 233398.
 2006 04 293387.
 2006 03 773375·
 2006 02 513363·
 2006 01 193352.
 2005 12  893349·
 2005 11  793338.
 2005 10  243325.
 2005 09  33313·
 2005 08  853301.
 2005 07  113289·
 2005 06  933278.
 2005 05  423266.
 2005 04  173254.
 2005 03  53243·
 2005 02  203231.
 2005 01  313220·
 2004 12 113213.
 2004 11 183201·
 2004 10 933188.
 2004 09 883176·
 2004 08 173163.
 2004 07 323151·
 2004 06 263140.
 2004 05 593128.
 2004 04 103117·
 2004 03 523106·
 2004 02 553094·
 2004 01 123083.
 2003 12  923180·
 2003 11  123163.
 2003 10  453147.
 2003 09  423133·
 2003 08  863118·
 2003 07  663104·
 2003 06  823090.
 2003 05  673077.
 2003 04  443064.
 2003 03  983048.
 2003 02  803033.
 2003 01  323018·
 2002 12 412989.
 2002 11 133005.
 2002 10 762962·
 2002 09 62936.
 2002 08 772917.
 2002 07 442883·
 2002 06 342891·
 2002 05 822825·
 2002 04 792817.
 2002 03 462775·
 2002 02 412731.
 2002 01 812768.
 2001 12  952828·
 2001 11  22862·
 2001 10  102871.
 2001 09  462828·
 2001 08  22794.
 2001 07  182800.
 2001 06  802740.
 2001 05  462716.
 2001 04  02718.
 2001 03  262675.
 2001 02  132671.
 2001 01  762675.
 2000 12 142729.
 2000 11 832696·
 2000 10 962696.
 2000 09 542686·
 2000 08 952636·
 2000 07 692653·
 2000 06 432627·
 2000 05 262594·
 2000 04 182516·
 2000 03 922539·
 2000 02 922539.
 2000 01 592597·
 1999 12  842536.
 1999 11  842421.
 1999 10  62474.
 1999 09  482482.
 1999 08  172436.
 1999 07  12507.
 1999 06  722472·
 1999 05  132456.
 1999 04  692359.
 1999 03  242276·
 1999 02  32230.
 1999 01  972241.
 1998 12 142444.
 1998 11 612434·
 1998 10 382396.
 1998 09 692444·
 1998 08 542387.
 1998 07 432389·
 1998 06 392392·
 1998 05 242339·
 1998 04 132268.
 1998 03 262290·
 1998 02 932362.
 1998 01 812380·
 1997 12  422378·
 1997 11  922346.
 1997 10  152280·
 1997 09  842280.
 1997 08  162263·
 1997 07  492264.
 1997 06  422292.
 1997 05  22247·
 1997 04  362203.
 1997 03  272248.
 1997 02  362230·
 1997 01  292264.
 1996 12 262175.
 1996 11 832193.
 1996 10 862169.
 1996 09 842168.
 1996 08 382171.
 1996 07 982165.
 1996 06 42174.
 1996 05 122154.
 1996 04 472097.
 1996 03 812106.
 1996 02 292072.
 1996 01 812090·
 1995 12  542095.
 1995 11  612049·
 1995 10  232064·
 1995 09  872022.
 1995 08  821983·
 1995 07  962000·
 1995 06  741997·
 1995 05  471926·
 1995 04  841887.
 1995 03  681832.
 1995 02  951857.
 1995 01  61881.
 1994 12 341962.
 1994 11 821987·
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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: Population Level: 35-44 years, 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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