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 Series Title: Population Level: Not Enrolled in School, 16-24 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 462037.
 2012 03 352029.
 2012 02 661966.
 2012 01 481987·
 2011 12  152025.
 2011 11  12032·
 2011 10  442028·
 2011 09  111974.
 2011 08  502471.
 2011 07  662727·
 2011 06  242490.
 2011 05  742007·
 2011 04  21999.
 2011 03  111961.
 2011 02  171960.
 2011 01  782003.
 2010 12 461822.
 2010 11 431859·
 2010 10 621832·
 2010 09 951860.
 2010 08 832309.
 2010 07 942551·
 2010 06 222265.
 2010 05 181843·
 2010 04 381833·
 2010 03 191819.
 2010 02 841828·
 2010 01 661824·
 2009 12  611784.
 2009 11  11806·
 2009 10  621871.
 2009 09  841872.
 2009 08  272243·
 2009 07  462427·
 2009 06  922155·
 2009 05  401808·
 2009 04  381756·
 2009 03  861733·
 2009 02  391726·
 2009 01  281750.
 2008 12 181850·
 2008 11 781855·
 2008 10 901867·
 2008 09 691896.
 2008 08 182296·
 2008 07 32512.
 2008 06 582258.
 2008 05 51890.
 2008 04 131850·
 2008 03 681886·
 2008 02 811858·
 2008 01 71847·
 2007 12  41938.
 2007 11  51964.
 2007 10  211963.
 2007 09  671946·
 2007 08  162269.
 2007 07  692500·
 2007 06  672353.
 2007 05  61907·
 2007 04  991895·
 2007 03  442037·
 2007 02  311962.
 2007 01  681928.
 2006 12 292015·
 2006 11 351959.
 2006 10 521925·
 2006 09 211957.
 2006 08 62363.
 2006 07 742609.
 2006 06 922488.
 2006 05 602016.
 2006 04 561986·
 2006 03 171917.
 2006 02 391856·
 2006 01 41855.
 2005 12  291925·
 2005 11  471936·
 2005 10  71901·
 2005 09  971925·
 2005 08  02382·
 2005 07  702584·
 2005 06  322460·
 2005 05  81936.
 2005 04  701957.
 2005 03  181947·
 2005 02  781934·
 2005 01  311994.
 2004 12 641949·
 2004 11 471956.
 2004 10 331979·
 2004 09 862037.
 2004 08 332357·
 2004 07 392522·
 2004 06 92311·
 2004 05 161912.
 2004 04 511913.
 2004 03 01866·
 2004 02 451935.
 2004 01 922004.
 2003 12  201958.
 2003 11  631898·
 2003 10  31934.
 2003 09  61866·
 2003 08  652316.
 2003 07  832466·
 2003 06  722233.
 2003 05  781976.
 2003 04  361881·
 2003 03  431896·
 2003 02  641920·
 2003 01  521910.
 2002 12 81962.
 2002 11 492055.
 2002 10 162108·
 2002 09 982074·
 2002 08 822334.
 2002 07 332467.
 2002 06 932339·
 2002 05 91963.
 2002 04 841924·
 2002 03 511880·
 2002 02 821935.
 2002 01 52001·
 2001 12  631953·
 2001 11  862011·
 2001 10  952044.
 2001 09  292079·
 2001 08  952338·
 2001 07  432549·
 2001 06  712445.
 2001 05  521967·
 2001 04  801886.
 2001 03  541874·
 2001 02  731793.
 2001 01  661813.
 2000 12 451986·
 2000 11 761885·
 2000 10 881970·
 2000 09 921967.
 2000 08 382474.
 2000 07 912644.
 2000 06 292374·
 2000 05 731918·
 2000 04 371875·
 2000 03 51854.
 2000 02 341813.
 2000 01 781797.
 1999 12  401623·
 1999 11  501573.
 1999 10  671616·
 1999 09  21631.
 1999 08  741973.
 1999 07  832118.
 1999 06  141910.
 1999 05  631584.
 1999 04  881522.
 1999 03  841491·
 1999 02  901384·
 1999 01  71442.
 1998 12 591619.
 1998 11 621657.
 1998 10 311693·
 1998 09 11578.
 1998 08 862004.
 1998 07 472152.
 1998 06 01851.
 1998 05 411529·
 1998 04 951568.
 1998 03 961566·
 1998 02 871485.
 1998 01 451514·
 1997 12  371499.
 1997 11  911439·
 1997 10  21470·
 1997 09  571497·
 1997 08  861936·
 1997 07  382082.
 1997 06  851849·
 1997 05  471512.
 1997 04  431453.
 1997 03  691469.
 1997 02  981425·
 1997 01  91492.
 1996 12 341407.
 1996 11 411344.
 1996 10 301406.
 1996 09 611349.
 1996 08 91810.
 1996 07 351906.
 1996 06 921805·
 1996 05 491376·
 1996 04 431333·
 1996 03 581345·
 1996 02 231371.
 1996 01 401443.
 1995 12  371448·
 1995 11  421442·
 1995 10  861436·
 1995 09  301362.
 1995 08  161903·
 1995 07  431880·
 1995 06  691705·
 1995 05  381348.
 1995 04  311368·
 1995 03  431416·
 1995 02  841347·
 1995 01  61373·
 1994 12 561414.
 1994 11 481426.
 1994 10 691451·
 1994 09 61376·
 1994 08 921907·
 1994 07 901954.
 1994 06 881731.
 1994 05 301470.
 1994 04 661403.
 1994 03 261323·
 1994 02 281335·
 1994 01 991397.
 1993 12  261326.
 1993 11  381336.
 1993 10  31314.
 1993 09  551407·
 1993 08  491996·
 1993 07  321954.
 1993 06  491654·
 1993 05  691330·
 1993 04  341319·
 1993 03  391364.
 1993 02  301311·
 1993 01  341380.
 1992 12 81343·
 1992 11 171386·
 1992 10 341331·
 1992 09 701395·
 1992 08 201959.
 1992 07 461912·
 1992 06 741700·
 1992 05 201403.
 1992 04 471330.
 1992 03 351332.
 1992 02 871330·
 1992 01 541380.
 1991 12  871413.
 1991 11  131465·
 1991 10  361565.
 1991 09  661580.
 1991 08  682036.
 1991 07  391925·
 1991 06  101749·
 1991 05  751466.
 1991 04  381402·
 1991 03  931437·
 1991 02  221414.
 1991 01  261423.
 1990 12 751378·
 1990 11 821428·
 1990 10 81464·
 1990 09 871575.
 1990 08 772015·
 1990 07 381947.
 1990 06 321783·
 1990 05 521482·
 1990 04 701471·
 1990 03 171463.
 1990 02 831465·
 1990 01 411408.
 1989 12  61112.
 1989 11  21122·
 1989 10  721153·
 1989 09  981201·
 1989 08  581607·
 1989 07  981507·
 1989 06  371343.
 1989 05  921115.
 1989 04  281051.
 1989 03  381027·
 1989 02  431041.
 1989 01  171122.
 1988 12 411124·
 1988 11 781157·
 1988 10 761111·
 1988 09 921173.
 1988 08 471581·
 1988 07 991524·
 1988 06 491322·
 1988 05 611134·
 1988 04 211077·
 1988 03 91095·
 1988 02 01056.
 1988 01 941021·
 1987 12  651029.
 1987 11  391059.
 1987 10  931032·
 1987 09  851082.
 1987 08  41487·
 1987 07  451447.
 1987 06  141234·
 1987 05  521072.
 1987 04  871027·
 1987 03  101039·
 1987 02  781033·
 1987 01  411053.
 1986 12 901095.
 1986 11 391060·
 1986 10 211081·
 1986 09 191116·
 1986 08 141516.
 1986 07 651452·
 1986 06 71292.
 1986 05 821117·
 1986 04 841062·
 1986 03 441056·
 1986 02 241052.
 1986 01 471034·
 1985 12  51977·
 1985 11  58931·
 1985 10  84927·
 1985 09  61942.
 1985 08  891369·
 1985 07  131343.
 1985 06  251170·
 1985 05  911009.
 1985 04  99923.
 1985 03  42969.
 1985 02  11931·
 1985 01  32940.
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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: Not Enrolled in School, 16-24 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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