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 Series Title: Not in Labor Force, 16-19 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 911245.
 2012 03 831315.
 2012 02 931324.
 2012 01 611347·
 2011 12  511248·
 2011 11  301230·
 2011 10  661247·
 2011 09  581291·
 2011 08  841261.
 2011 07  821190.
 2011 06  461241.
 2011 05  591339.
 2011 04  401306.
 2011 03  191283.
 2011 02  461307·
 2011 01  101253·
 2010 12 941171·
 2010 11 501131.
 2010 10 41143·
 2010 09 791171.
 2010 08 461103·
 2010 07 61021·
 2010 06 831063·
 2010 05 601132·
 2010 04 231112·
 2010 03 421074.
 2010 02 711118·
 2010 01 731119·
 2009 12  751063·
 2009 11  421041·
 2009 10  801044·
 2009 09  611035·
 2009 08  76956·
 2009 07  11872·
 2009 06  49928.
 2009 05  941026.
 2009 04  281045.
 2009 03  821063.
 2009 02  401025·
 2009 01  661055·
 2008 12 551010·
 2008 11 10992·
 2008 10 41953·
 2008 09 96964.
 2008 08 9922·
 2008 07 78854·
 2008 06 66839.
 2008 05 28903·
 2008 04 64895·
 2008 03 92914·
 2008 02 51935.
 2008 01 32945.
 2007 12  21951·
 2007 11  83928·
 2007 10  61922·
 2007 09  1909.
 2007 08  5903·
 2007 07  9880·
 2007 06  82833.
 2007 05  54927.
 2007 04  67889.
 2007 03  51873.
 2007 02  29935.
 2007 01  37887·
 2006 12 82823.
 2006 11 16875·
 2006 10 37874.
 2006 09 17874·
 2006 08 50826.
 2006 07 35724.
 2006 06 72753.
 2006 05 89865.
 2006 04 98855.
 2006 03 65803.
 2006 02 20838·
 2006 01 72826.
 2005 12  74800.
 2005 11  88793.
 2005 10  94848.
 2005 09  11811.
 2005 08  55739.
 2005 07  10720·
 2005 06  32780·
 2005 05  74823·
 2005 04  41801·
 2005 03  63796.
 2005 02  97822.
 2005 01  56860·
 2004 12 58787·
 2004 11 3768.
 2004 10 77710·
 2004 09 75777·
 2004 08 55719·
 2004 07 13670·
 2004 06 85713·
 2004 05 77800.
 2004 04 8850.
 2004 03 98812.
 2004 02 59802·
 2004 01 29820.
 2003 12  19805.
 2003 11  91735.
 2003 10  62785.
 2003 09  26786·
 2003 08  11749·
 2003 07  48707.
 2003 06  81716·
 2003 05  88805.
 2003 04  35837.
 2003 03  50790.
 2003 02  29764·
 2003 01  58756.
 2002 12 67683.
 2002 11 5656.
 2002 10 45681·
 2002 09 6630·
 2002 08 7640.
 2002 07 44578·
 2002 06 91590.
 2002 05 25682.
 2002 04 81673·
 2002 03 24672·
 2002 02 55722.
 2002 01 36734.
 2001 12  39657·
 2001 11  26617.
 2001 10  50638.
 2001 09  81642·
 2001 08  56609·
 2001 07  57565.
 2001 06  14555.
 2001 05  30655·
 2001 04  32618.
 2001 03  48636·
 2001 02  10639·
 2001 01  78673.
 2000 12 94633·
 2000 11 57704.
 2000 10 26686·
 2000 09 43705·
 2000 08 91614·
 2000 07 65563.
 2000 06 73618·
 2000 05 70651.
 2000 04 99660·
 2000 03 78677.
 2000 02 92664·
 2000 01 27710.
 1999 12  19605·
 1999 11  28624·
 1999 10  44568·
 1999 09  9602·
 1999 08  75543·
 1999 07  72529·
 1999 06  17562.
 1999 05  36598.
 1999 04  18623.
 1999 03  91622·
 1999 02  24624·
 1999 01  50626·
 1998 12 23636.
 1998 11 93607·
 1998 10 3553.
 1998 09 21633.
 1998 08 92551.
 1998 07 8538·
 1998 06 17549·
 1998 05 44584·
 1998 04 48629·
 1998 03 93609.
 1998 02 53635·
 1998 01 38626.
 1997 12  43626·
 1997 11  31579.
 1997 10  26576·
 1997 09  46636.
 1997 08  53573.
 1997 07  27510·
 1997 06  72555·
 1997 05  38578.
 1997 04  76609.
 1997 03  13609.
 1997 02  54584·
 1997 01  8625·
 1996 12 39562·
 1996 11 47494.
 1996 10 61514.
 1996 09 75555·
 1996 08 93495·
 1996 07 8417·
 1996 06 5466·
 1996 05 83504·
 1996 04 12484·
 1996 03 5495.
 1996 02 24476.
 1996 01 2489·
 1995 12  97505·
 1995 11  69547.
 1995 10  81492.
 1995 09  25496.
 1995 08  73399·
 1995 07  57349.
 1995 06  64429.
 1995 05  72483·
 1995 04  91468·
 1995 03  49493.
 1995 02  86519·
 1995 01  87522·
 1994 12 27476·
 1994 11 53502.
 1994 10 85496.
 1994 09 38535.
 1994 08 79408.
 1994 07 1378·
 1994 06 23411.
 1994 05 21481.
 1994 04 75442.
 1994 03 48476.
 1994 02 89497·
 1994 01 54455·
 1993 12  64474·
 1993 11  78427·
 1993 10  95465.
 1993 09  81426.
 1993 08  21380.
 1993 07  95362.
 1993 06  79420·
 1993 05  72471.
 1993 04  48473.
 1993 03  33421·
 1993 02  4455.
 1993 01  20500·
 1992 12 69452·
 1992 11 47430.
 1992 10 59453.
 1992 09 45406·
 1992 08 35381.
 1992 07 19355·
 1992 06 55398.
 1992 05 92477·
 1992 04 21492.
 1992 03 56446.
 1992 02 31432·
 1992 01 28450·
 1991 12  28465·
 1991 11  90433·
 1991 10  50400.
 1991 09  48420·
 1991 08  81378·
 1991 07  77363.
 1991 06  99408.
 1991 05  72449·
 1991 04  30488.
 1991 03  99454.
 1991 02  92509·
 1991 01  43483·
 1990 12 51454.
 1990 11 62435.
 1990 10 67421.
 1990 09 31390.
 1990 08 44311.
 1990 07 98312·
 1990 06 85374.
 1990 05 30385·
 1990 04 35414·
 1990 03 64430·
 1990 02 36448.
 1990 01 58464.
 1989 12  74319·
 1989 11  41345.
 1989 10  32304.
 1989 09  61351.
 1989 08  36248.
 1989 07  36222·
 1989 06  11265·
 1989 05  7290·
 1989 04  22337.
 1989 03  81343.
 1989 02  35336.
 1989 01  90342·
 1988 12 58302.
 1988 11 33304.
 1988 10 93328·
 1988 09 30303·
 1988 08 92275·
 1988 07 72236.
 1988 06 98253·
 1988 05 70312.
 1988 04 2333·
 1988 03 5326·
 1988 02 88348·
 1988 01 80336·
 1987 12  87313.
 1987 11  65327·
 1987 10  25331.
 1987 09  54330.
 1987 08  72279.
 1987 07  8284.
 1987 06  97299·
 1987 05  11329.
 1987 04  9378.
 1987 03  15361·
 1987 02  17334.
 1987 01  95346·
 1986 12 72343·
 1986 11 94337·
 1986 10 23334·
 1986 09 75304·
 1986 08 63265.
 1986 07 75225·
 1986 06 79279.
 1986 05 46341·
 1986 04 5337·
 1986 03 15351·
 1986 02 71348.
 1986 01 27364·
 1985 12  50334·
 1985 11  97368.
 1985 10  13326.
 1985 09  61345.
 1985 08  73265·
 1985 07  26203.
 1985 06  42276·
 1985 05  18340.
 1985 04  75355.
 1985 03  34343·
 1985 02  22342·
 1985 01  92345·
 1984 12 80305·
 1984 11 79321.
 1984 10 41331.
 1984 09 3344·
 1984 08 40265.
 1984 07 41230·
 1984 06 10252.
 1984 05 93323·
 1984 04 29324.
 1984 03 28342.
 1984 02 69352.
 1984 01 33348·
 1983 12  48351·
 1983 11  70344·
 1983 10  80341·
 1983 09  17332.
 1983 08  23235.
 1983 07  25234·
 1983 06  31236.
 1983 05  63318·
 1983 04  4329.
 1983 03  74328·
 1983 02  35347.
 1983 01  17356·
 1982 12 65372·
 1982 11 23348.
 1982 10 30359.
 1982 09 46381.
 1982 08 9309.
 1982 07 6289.
 1982 06 78289.
 1982 05 45338·
 1982 04 59315.
 1982 03 77310.
 1982 02 68319.
 1982 01 34343·
 1981 12  66348.
 1981 11  19312·
 1981 10  12321.
 1981 09  56354.
 1981 08  7290·
 1981 07  38272·
 1981 06  48241·
 1981 05  81296·
 1981 04  80310.
 1981 03  67301.
 1981 02  40292.
 1981 01  2305.
 1980 12 12302.
 1980 11 61277.
 1980 10 75273·
 1980 09 39259.
 1980 08 53211·
 1980 07 2177·
 1980 06 66230·
 1980 05 37282·
 1980 04 78260.
 1980 03 98287.
 1980 02 50296·
 1980 01 63279.
 1979 12  88225·
 1979 11  79230·
 1979 10  92235·
 1979 09  13245·
 1979 08  8188·
 1979 07  2160·
 1979 06  78213·
 1979 05  5292·
 1979 04  88297.
 1979 03  49277.
 1979 02  22256.
 1979 01  83259.
 1978 12 5240.
 1978 11 26222·
 1978 10 61213·
 1978 09 18234·
 1978 08 57159·
 1978 07 66163·
 1978 06 58168·
 1978 05 2252.
 1978 04 72270·
 1978 03 24268·
 1978 02 2261.
 1978 01 55259.
 1977 12  98217.
 1977 11  83218·
 1977 10  4222·
 1977 09  21244.
 1977 08  12187.
 1977 07  49179·
 1977 06  4166.
 1977 05  70217·
 1977 04  13221.
 1977 03  54213.
 1977 02  64207.
 1977 01  94231.
 1976 12 28226.
 1976 11 54256.
 1976 10 71245.
 1976 09 15230·
 1976 08 6173·
 1976 07 31143.
 1976 06 39204.
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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: Not in Labor Force, 16-19 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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