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 Series Title: Population Level: Not Enrolled in School, Less than a High School Diploma 16-24 years, Hispanic or Latino: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 931055.
 2012 03 21112.
 2012 02 951065.
 2012 01 291143·
 2011 12  881083.
 2011 11  571099·
 2011 10  241062.
 2011 09  51072.
 2011 08  991650·
 2011 07  601844.
 2011 06  41839·
 2011 05  311129.
 2011 04  771078·
 2011 03  941115.
 2011 02  481033·
 2011 01  491152·
 2010 12 971139·
 2010 11 641124.
 2010 10 941074.
 2010 09 291174.
 2010 08 591639·
 2010 07 31923.
 2010 06 51698·
 2010 05 651204.
 2010 04 901122.
 2010 03 661160.
 2010 02 681086·
 2010 01 771145.
 2009 12  381129.
 2009 11  371161·
 2009 10  961189.
 2009 09  71134·
 2009 08  811592.
 2009 07  201762.
 2009 06  271545·
 2009 05  271165.
 2009 04  171097.
 2009 03  491080.
 2009 02  251068·
 2009 01  291225.
 2008 12 731238.
 2008 11 791220.
 2008 10 771216.
 2008 09 321297·
 2008 08 981730·
 2008 07 921960.
 2008 06 951865.
 2008 05 821279·
 2008 04 691342·
 2008 03 951335.
 2008 02 191271.
 2008 01 471365.
 2007 12  861405.
 2007 11  201375.
 2007 10  101405·
 2007 09  211451·
 2007 08  741774·
 2007 07  232059.
 2007 06  572059·
 2007 05  231458.
 2007 04  831473.
 2007 03  861531·
 2007 02  721534.
 2007 01  981460.
 2006 12 891407.
 2006 11 151385·
 2006 10 931410·
 2006 09 141532·
 2006 08 922002·
 2006 07 422247.
 2006 06 842132.
 2006 05 661601.
 2006 04 171606·
 2006 03 241536·
 2006 02 321425·
 2006 01 731343.
 2005 12  161394·
 2005 11  421372·
 2005 10  501421·
 2005 09  791467.
 2005 08  632008.
 2005 07  42329·
 2005 06  762175·
 2005 05  541589.
 2005 04  591608·
 2005 03  401658·
 2005 02  731598·
 2005 01  911641.
 2004 12 291577·
 2004 11 71506·
 2004 10 291495·
 2004 09 91462.
 2004 08 231864.
 2004 07 872195.
 2004 06 562129·
 2004 05 521547.
 2004 04 171561.
 2004 03 871616·
 2004 02 931662·
 2004 01 911676.
 2003 12  121565.
 2003 11  371466·
 2003 10  21426·
 2003 09  181411.
 2003 08  321967·
 2003 07  962298.
 2003 06  711999·
 2003 05  541719.
 2003 04  291572.
 2003 03  441600·
 2003 02  141522.
 2003 01  421582·
 2002 12 771617.
 2002 11 891597.
 2002 10 671572.
 2002 09 501578·
 2002 08 771889·
 2002 07 612240·
 2002 06 952204·
 2002 05 751735·
 2002 04 541693·
 2002 03 171654·
 2002 02 841634.
 2002 01 341667·
 2001 12  591618·
 2001 11  401681·
 2001 10  481663.
 2001 09  721746.
 2001 08  672024·
 2001 07  352360.
 2001 06  252310.
 2001 05  571849.
 2001 04  781850·
 2001 03  351723.
 2001 02  771588.
 2001 01  851604·
 2000 12 181670.
 2000 11 951548·
 2000 10 931680·
 2000 09 741646·
 2000 08 382264.
 2000 07 992509.
 2000 06 852350·
 2000 05 681812.
 2000 04 121754·
 2000 03 511662·
 2000 02 911600·
 2000 01 371563·
 1999 12  411411·
 1999 11  841409·
 1999 10  741447·
 1999 09  741450·
 1999 08  501958·
 1999 07  552159.
 1999 06  231834·
 1999 05  991420·
 1999 04  911395·
 1999 03  451270.
 1999 02  491135.
 1999 01  551255.
 1998 12 371348.
 1998 11 611445·
 1998 10 911486·
 1998 09 131447·
 1998 08 901887·
 1998 07 342023·
 1998 06 111777·
 1998 05 661234.
 1998 04 751310.
 1998 03 211373.
 1998 02 981256.
 1998 01 331314·
 1997 12  421335.
 1997 11  51233.
 1997 10  651219.
 1997 09  591343·
 1997 08  671774.
 1997 07  901985.
 1997 06  481775·
 1997 05  121404·
 1997 04  511406·
 1997 03  101411.
 1997 02  121343·
 1997 01  871386·
 1996 12 171360.
 1996 11 201345·
 1996 10 441308·
 1996 09 31254.
 1996 08 181774·
 1996 07 21860·
 1996 06 571823·
 1996 05 41309·
 1996 04 281275·
 1996 03 631263·
 1996 02 891224·
 1996 01 581284.
 1995 12  481292·
 1995 11  351308·
 1995 10  31312.
 1995 09  621336·
 1995 08  21893.
 1995 07  751886.
 1995 06  871647.
 1995 05  321325.
 1995 04  431294·
 1995 03  631349.
 1995 02  521301.
 1995 01  141339.
 1994 12 441334·
 1994 11 61331.
 1994 10 391308·
 1994 09 771286·
 1994 08 61811·
 1994 07 371899.
 1994 06 81699.
 1994 05 151316·
 1994 04 551258.
 1994 03 111325.
 1994 02 491279·
 1994 01 461276.
 1993 12  411170.
 1993 11  111201·
 1993 10  741209.
 1993 09  161257.
 1993 08  402014.
 1993 07  431998.
 1993 06  211706·
 1993 05  931323.
 1993 04  511333·
 1993 03  391337·
 1993 02  531289·
 1993 01  721360·
 1992 12 01373.
 1992 11 551360.
 1992 10 581255.
 1992 09 701338.
 1992 08 382045·
 1992 07 732008·
 1992 06 481702·
 1992 05 341332.
 1992 04 411327.
 1992 03 991245·
 1992 02 621253.
 1992 01 321270·
 1991 12  71308.
 1991 11  661475.
 1991 10  631543·
 1991 09  571549·
 1991 08  632173·
 1991 07  302126·
 1991 06  381802.
 1991 05  291506.
 1991 04  601343.
 1991 03  721333·
 1991 02  01357·
 1991 01  931360.
 1990 12 721344.
 1990 11 991351.
 1990 10 871374.
 1990 09 171467·
 1990 08 02144·
 1990 07 442073·
 1990 06 621845.
 1990 05 961458.
 1990 04 691453·
 1990 03 621404·
 1990 02 131372·
 1990 01 481302·
 1989 12  301033.
 1989 11  341078.
 1989 10  531140.
 1989 09  181138·
 1989 08  581666.
 1989 07  691548·
 1989 06  191319.
 1989 05  751075·
 1989 04  541023·
 1989 03  97986·
 1989 02  75950.
 1989 01  141068.
 1988 12 421096.
 1988 11 751111.
 1988 10 91173.
 1988 09 521171.
 1988 08 741626.
 1988 07 851569.
 1988 06 331309.
 1988 05 351046.
 1988 04 251013·
 1988 03 33984·
 1988 02 85917·
 1988 01 31903·
 1987 12  94899.
 1987 11  51940.
 1987 10  28929.
 1987 09  351053.
 1987 08  81561·
 1987 07  951529·
 1987 06  511284.
 1987 05  661044.
 1987 04  17969·
 1987 03  48973·
 1987 02  65968.
 1987 01  671029.
 1986 12 971065·
 1986 11 161046.
 1986 10 9943·
 1986 09 9935·
 1986 08 461416·
 1986 07 301330·
 1986 06 461217.
 1986 05 851031.
 1986 04 921033·
 1986 03 481013.
 1986 02 64998.
 1986 01 141008·
 1985 12  84908·
 1985 11  50805·
 1985 10  74795·
 1985 09  41827·
 1985 08  991393.
 1985 07  431344.
 1985 06  171157.
 1985 05  34992·
 1985 04  35954·
 1985 03  60983·
 1985 02  53928·
 1985 01  88919·
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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, Less than a High School Diploma 16-24 years, Hispanic or Latino: 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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