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 Series Title: Population Level: 25-34 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 194407.
 2012 03 534400.
 2012 02 964395.
 2012 01 384389·
 2011 12  924407.
 2011 11  764402·
 2011 10  74397.
 2011 09  354392·
 2011 08  884387.
 2011 07  534382.
 2011 06  764377·
 2011 05  874371.
 2011 04  574367·
 2011 03  674362·
 2011 02  144358·
 2011 01  394353·
 2010 12 744402·
 2010 11 234398.
 2010 10 604394.
 2010 09 594390.
 2010 08 404386.
 2010 07 544383.
 2010 06 774379.
 2010 05 414375.
 2010 04 814372.
 2010 03 174368·
 2010 02 534365·
 2010 01 44361·
 2009 12  454420.
 2009 11  924417·
 2009 10  14414.
 2009 09  934412.
 2009 08  104409.
 2009 07  874406.
 2009 06  584404.
 2009 05  774401·
 2009 04  754399·
 2009 03  344395.
 2009 02  874392·
 2009 01  504388·
 2008 12 664479·
 2008 11 884471·
 2008 10 774464·
 2008 09 304456.
 2008 08 334448.
 2008 07 314441.
 2008 06 404434·
 2008 05 634426·
 2008 04 514420.
 2008 03 714412.
 2008 02 144405·
 2008 01 184397.
 2007 12  214485·
 2007 11  384475·
 2007 10  624466·
 2007 09  874455.
 2007 08  694445.
 2007 07  904435·
 2007 06  714425.
 2007 05  924415.
 2007 04  444405·
 2007 03  84395.
 2007 02  564385·
 2007 01  754375.
 2006 12 224324·
 2006 11 994313·
 2006 10 534302·
 2006 09 64291.
 2006 08 44281.
 2006 07 934270·
 2006 06 254260.
 2006 05 794249.
 2006 04 144239·
 2006 03 494229·
 2006 02 614219·
 2006 01 134209·
 2005 12  44225.
 2005 11  484212.
 2005 10  744200.
 2005 09  524187.
 2005 08  484174·
 2005 07  954161·
 2005 06  04148·
 2005 05  664136.
 2005 04  484124·
 2005 03  244112·
 2005 02  44100·
 2005 01  494088·
 2004 12 274095.
 2004 11 904082.
 2004 10 724070·
 2004 09 194057.
 2004 08 384044·
 2004 07 764031.
 2004 06 194018·
 2004 05 214005.
 2004 04 553992.
 2004 03 873977·
 2004 02 813964·
 2004 01 243950.
 2003 12  784126·
 2003 11  554110·
 2003 10  224093·
 2003 09  224076.
 2003 08  334058·
 2003 07  384041.
 2003 06  294024.
 2003 05  354008.
 2003 04  713991·
 2003 03  163975.
 2003 02  163958·
 2003 01  63940·
 2002 12 663807.
 2002 11 973675.
 2002 10 203650·
 2002 09 43639.
 2002 08 203662·
 2002 07 123705.
 2002 06 43752·
 2002 05 253805·
 2002 04 573792·
 2002 03 173783·
 2002 02 573772.
 2002 01 863682·
 2001 12  283607.
 2001 11  953554.
 2001 10  903500.
 2001 09  323430·
 2001 08  83481.
 2001 07  523490·
 2001 06  423477·
 2001 05  323555·
 2001 04  983613·
 2001 03  193570·
 2001 02  763573·
 2001 01  803493·
 2000 12 233356.
 2000 11 533346.
 2000 10 803333·
 2000 09 963269·
 2000 08 343349.
 2000 07 373337·
 2000 06 663438.
 2000 05 243476.
 2000 04 53500.
 2000 03 763394·
 2000 02 733394·
 2000 01 323373.
 1999 12  382742·
 1999 11  22808·
 1999 10  632798·
 1999 09  152731·
 1999 08  572791.
 1999 07  712749·
 1999 06  242761.
 1999 05  922756.
 1999 04  132862·
 1999 03  672889.
 1999 02  692891.
 1999 01  72877.
 1998 12 822876·
 1998 11 942866·
 1998 10 372898·
 1998 09 292915·
 1998 08 642934·
 1998 07 852916.
 1998 06 892879·
 1998 05 532906·
 1998 04 842932.
 1998 03 962959·
 1998 02 142946·
 1998 01 972861·
 1997 12  922832.
 1997 11  92908·
 1997 10  252910·
 1997 09  62883.
 1997 08  642908·
 1997 07  312864.
 1997 06  592847.
 1997 05  492917·
 1997 04  12901.
 1997 03  932824·
 1997 02  802845.
 1997 01  192820·
 1996 12 282715·
 1996 11 522732.
 1996 10 752680·
 1996 09 372700·
 1996 08 952694·
 1996 07 902646.
 1996 06 572649·
 1996 05 462692.
 1996 04 772730·
 1996 03 132747·
 1996 02 642699.
 1996 01 162626·
 1995 12  752625·
 1995 11  522631.
 1995 10  602584·
 1995 09  402595·
 1995 08  152615·
 1995 07  652556·
 1995 06  312575·
 1995 05  372655·
 1995 04  462756·
 1995 03  342798.
 1995 02  912797·
 1995 01  532703.
 1994 12 452577·
 1994 11 642565.
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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: 25-34 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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