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 Series Title: Population Level: 20-24 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 372328·
 2012 03 542322.
 2012 02 912315.
 2012 01 442309.
 2011 12  332311.
 2011 11  832305·
 2011 10  162298.
 2011 09  882293.
 2011 08  342286.
 2011 07  472280.
 2011 06  802275.
 2011 05  692269.
 2011 04  892263.
 2011 03  302258.
 2011 02  952252·
 2011 01  302247·
 2010 12 742044.
 2010 11 372039·
 2010 10 992034·
 2010 09 402029·
 2010 08 882023·
 2010 07 992018·
 2010 06 552013.
 2010 05 942008·
 2010 04 582003.
 2010 03 741998.
 2010 02 521993.
 2010 01 111988·
 2009 12  341898.
 2009 11  441893.
 2009 10  11888.
 2009 09  341884·
 2009 08  911879·
 2009 07  141875·
 2009 06  411871.
 2009 05  341868.
 2009 04  301864.
 2009 03  161861.
 2009 02  341858.
 2009 01  31855.
 2008 12 751902.
 2008 11 81899·
 2008 10 691897·
 2008 09 621895.
 2008 08 781893.
 2008 07 701891.
 2008 06 591889.
 2008 05 551887.
 2008 04 141885.
 2008 03 101883·
 2008 02 411882.
 2008 01 501881·
 2007 12  821927.
 2007 11  591926.
 2007 10  781926.
 2007 09  421926·
 2007 08  101927.
 2007 07  731928·
 2007 06  581928.
 2007 05  491928·
 2007 04  461928.
 2007 03  351929.
 2007 02  941931·
 2007 01  171933·
 2006 12 661906.
 2006 11 511908.
 2006 10 241909.
 2006 09 131911·
 2006 08 721914·
 2006 07 521916·
 2006 06 111917·
 2006 05 331918.
 2006 04 871920·
 2006 03 951922.
 2006 02 421924.
 2006 01 961925.
 2005 12  631947·
 2005 11  631949·
 2005 10  311950.
 2005 09  451951·
 2005 08  741952·
 2005 07  601953·
 2005 06  151955.
 2005 05  491957·
 2005 04  221959·
 2005 03  201962·
 2005 02  581965·
 2005 01  41968·
 2004 12 321978.
 2004 11 991979.
 2004 10 471980·
 2004 09 271980·
 2004 08 531980.
 2004 07 781980.
 2004 06 951980·
 2004 05 641981.
 2004 04 621982.
 2004 03 641982.
 2004 02 401982·
 2004 01 821982·
 2003 12  591906·
 2003 11  891906.
 2003 10  451906·
 2003 09  781905·
 2003 08  691905·
 2003 07  101904·
 2003 06  981905.
 2003 05  681906.
 2003 04  431906.
 2003 03  71906.
 2003 02  111906.
 2003 01  991904·
 2002 12 561879·
 2002 11 881943·
 2002 10 231995.
 2002 09 381974.
 2002 08 81884.
 2002 07 841895·
 2002 06 971817·
 2002 05 801815.
 2002 04 241849.
 2002 03 521866.
 2002 02 201887·
 2002 01 451883·
 2001 12  561860·
 2001 11  741917·
 2001 10  51906.
 2001 09  751964·
 2001 08  791898·
 2001 07  551827.
 2001 06  901864·
 2001 05  411780·
 2001 04  921752.
 2001 03  291789·
 2001 02  381787·
 2001 01  361804·
 2000 12 221865.
 2000 11 511873·
 2000 10 371866.
 2000 09 811890.
 2000 08 191832.
 2000 07 31809·
 2000 06 01706.
 2000 05 171671·
 2000 04 581692.
 2000 03 921724·
 2000 02 651749·
 2000 01 161732.
 1999 12  391458.
 1999 11  491461·
 1999 10  941403·
 1999 09  711433.
 1999 08  881399.
 1999 07  321384·
 1999 06  751388·
 1999 05  11391.
 1999 04  551359·
 1999 03  211357.
 1999 02  221352·
 1999 01  511387·
 1998 12 161515.
 1998 11 231543·
 1998 10 731510.
 1998 09 891464.
 1998 08 721476.
 1998 07 701433.
 1998 06 891462·
 1998 05 101448·
 1998 04 461450.
 1998 03 191463.
 1998 02 591373·
 1998 01 321406·
 1997 12  911424·
 1997 11  511366·
 1997 10  971385.
 1997 09  11427·
 1997 08  801460·
 1997 07  731478.
 1997 06  391483.
 1997 05  841447·
 1997 04  161459.
 1997 03  171465.
 1997 02  491431·
 1997 01  771442.
 1996 12 221333·
 1996 11 391303.
 1996 10 141312·
 1996 09 981269·
 1996 08 501299.
 1996 07 201317·
 1996 06 481340·
 1996 05 911318·
 1996 04 741324.
 1996 03 681322·
 1996 02 891350.
 1996 01 261368.
 1995 12  961363.
 1995 11  141371·
 1995 10  981370.
 1995 09  971338.
 1995 08  411339·
 1995 07  151346.
 1995 06  651330.
 1995 05  231327.
 1995 04  581333.
 1995 03  521321·
 1995 02  21287.
 1995 01  481324.
 1994 12 241388·
 1994 11 321397.
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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: 20-24 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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