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 Series Title: Employment Level: Nonagricultural Industries, 16-19 years Mexican: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1990 01 65394.
 1990 02 34438·
 1990 03 60471.
 1990 04 75422·
 1990 05 39442·
 1990 06 12466·
 1990 07 56508.
 1990 08 62495·
 1990 09 5446.
 1990 10 14429·
 1990 11 78383.
 1990 12 73403·
 1991 01  12417.
 1991 02  20403·
 1991 03  39376·
 1991 04  52362.
 1991 05  36349·
 1991 06  38383.
 1991 07  77394·
 1991 08  68394.
 1991 09  78367.
 1991 10  0409·
 1991 11  54417.
 1991 12  14417·
 1992 01 63391·
 1992 02 62383.
 1992 03 58355·
 1992 04 11334.
 1992 05 41303·
 1992 06 5366·
 1992 07 4437·
 1992 08 3444·
 1992 09 87413.
 1992 10 36381.
 1992 11 27372.
 1992 12 58382.
 1993 01  3345·
 1993 02  88354·
 1993 03  91362·
 1993 04  70383.
 1993 05  13346·
 1993 06  16366·
 1993 07  85458.
 1993 08  59429·
 1993 09  68390.
 1993 10  3408·
 1993 11  20390.
 1993 12  70349.
 1994 01 43364·
 1994 02 54315.
 1994 03 35360.
 1994 04 70342·
 1994 05 39410·
 1994 06 2439.
 1994 07 93485·
 1994 08 54457·
 1994 09 81373·
 1994 10 3414·
 1994 11 82424.
 1994 12 42439.
 1995 01  19370·
 1995 02  38363·
 1995 03  14378·
 1995 04  77389·
 1995 05  30399·
 1995 06  16485·
 1995 07  27516.
 1995 08  29459.
 1995 09  12385.
 1995 10  66379.
 1995 11  85357·
 1995 12  92434·
 1996 01 92385·
 1996 02 46447.
 1996 03 75385·
 1996 04 85386·
 1996 05 20361.
 1996 06 37410·
 1996 07 10461·
 1996 08 51427·
 1996 09 71431·
 1996 10 47457.
 1996 11 27387·
 1996 12 61384.
 1997 01  46395.
 1997 02  6414·
 1997 03  91407·
 1997 04  9414.
 1997 05  70424·
 1997 06  71483.
 1997 07  88470.
 1997 08  12451.
 1997 09  94403.
 1997 10  24476·
 1997 11  32490·
 1997 12  17478·
 1998 01 93464·
 1998 02 72537.
 1998 03 61543·
 1998 04 91507·
 1998 05 67570.
 1998 06 46568·
 1998 07 37582.
 1998 08 29577·
 1998 09 42540·
 1998 10 2562·
 1998 11 48498·
 1998 12 50543.
 1999 01  67539.
 1999 02  24538.
 1999 03  7554·
 1999 04  98545.
 1999 05  20544·
 1999 06  16571·
 1999 07  53625·
 1999 08  42646·
 1999 09  99595·
 1999 10  11601·
 1999 11  47555.
 1999 12  77575.
 2000 01 30608·
 2000 02 66627·
 2000 03 78634.
 2000 04 22652.
 2000 05 64706·
 2000 06 61700·
 2000 07 59756.
 2000 08 20686.
 2000 09 77665·
 2000 10 5692.
 2000 11 28642.
 2000 12 41714.
 2001 01  67656·
 2001 02  27694·
 2001 03  47645.
 2001 04  80629·
 2001 05  62624·
 2001 06  86687·
 2001 07  4732·
 2001 08  54702.
 2001 09  11689.
 2001 10  62707·
 2001 11  13695.
 2001 12  9678·
 2002 01 89601·
 2002 02 63603·
 2002 03 11601.
 2002 04 13591.
 2002 05 97582.
 2002 06 19604.
 2002 07 61603.
 2002 08 61597.
 2002 09 61606.
 2002 10 88551.
 2002 11 51600·
 2002 12 71560.
 2003 01  30485·
 2003 02  51502.
 2003 03  94488.
 2003 04  88490·
 2003 05  81539.
 2003 06  15579·
 2003 07  28591.
 2003 08  82501·
 2003 09  14458.
 2003 10  11466.
 2003 11  15497·
 2003 12  45495.
 2004 01 53433·
 2004 02 96438·
 2004 03 44480·
 2004 04 98490.
 2004 05 49519·
 2004 06 53557.
 2004 07 27577·
 2004 08 84547·
 2004 09 79557.
 2004 10 86570.
 2004 11 3566·
 2004 12 73602.
 2005 01  41493.
 2005 02  29558·
 2005 03  33556.
 2005 04  58565·
 2005 05  62546·
 2005 06  37616·
 2005 07  7614·
 2005 08  60600.
 2005 09  92575.
 2005 10  92567·
 2005 11  37594.
 2005 12  21605.
 2006 01 6571.
 2006 02 2592.
 2006 03 61635.
 2006 04 11599·
 2006 05 5604.
 2006 06 97595·
 2006 07 41658·
 2006 08 25596.
 2006 09 14544.
 2006 10 34580·
 2006 11 66585.
 2006 12 81620.
 2007 01  84587·
 2007 02  95569·
 2007 03  49597.
 2007 04  24600·
 2007 05  89574.
 2007 06  86606·
 2007 07  27647.
 2007 08  22627·
 2007 09  31638.
 2007 10  40617.
 2007 11  64581.
 2007 12  70582.
 2008 01 34572.
 2008 02 13587·
 2008 03 47616.
 2008 04 88611.
 2008 05 50595·
 2008 06 86652.
 2008 07 88635.
 2008 08 18600.
 2008 09 52546·
 2008 10 66512·
 2008 11 27501·
 2008 12 30535.
 2009 01  43495·
 2009 02  84522·
 2009 03  26487·
 2009 04  19519.
 2009 05  47494.
 2009 06  98580·
 2009 07  72574.
 2009 08  4489.
 2009 09  14465·
 2009 10  89384·
 2009 11  80386.
 2009 12  28388.
 2010 01 21392·
 2010 02 64450.
 2010 03 85507·
 2010 04 61458.
 2010 05 66479·
 2010 06 54465.
 2010 07 53502·
 2010 08 97447.
 2010 09 77430·
 2010 10 16416·
 2010 11 69471·
 2010 12 55450.
 2011 01  3432.
 2011 02  31426.
 2011 03  48400·
 2011 04  79449·
 2011 05  19441·
 2011 06  6455.
 2011 07  27493·
 2011 08  39424·
 2011 09  26452·
 2011 10  74469.
 2011 11  69468·
 2011 12  28537.
 2012 01 50493·
 2012 02 90525·
 2012 03 62530.
 2012 04 66545·
 2012 05 40528.
 2012 06 36601.
 2012 07 18612·
 2012 08 97524·
 2012 09 73529.
 2012 10 18502·
 2012 11 77538·
 2012 12 89491.
 2013 01  48578·
 2013 02  69527.
 2013 03  99491·
 2013 04  38568·
 2013 05  91562.
 2013 06  45638·
 2013 07  75611.
 2013 08  62532.
 2013 09  52548.
 2013 10  28534.
 2013 11  16593·
 2013 12  5541·
 2014 01 6495·
 2014 02 24487.
 2014 03 60569·
 2014 04 37538·
 2014 05 55599.
 2014 06 65617·
 2014 07 70634.
 2014 08 51624.
 2014 09 24514.
 2014 10 8622.
 2014 11 34613·
 2014 12 68604.
 2015 01  62604.
 2015 02  34592.
 2015 03  65661.
 2015 04  30639.
 2015 05  45621·
 2015 06  49680·
 2015 07  1682·
 2015 08  7585.
 2015 09  75579.
 2015 10  87580.
 2015 11  5632·
 2015 12  93660.
 2016 01 75642.
 2016 02 2645·
 2016 03 64643.
 2016 04 8645·
 2016 05 96694.
 2016 06 77761.
 2016 07 92759.
 2016 08 95685·
 2016 09 15639.
 2016 10 19583·
 2016 11 26592·
 2016 12 24618.
 2017 01  30620.
 2017 02  59647·
 2017 03  29693·
 2017 04  89698·
 2017 05  68728·
 2017 06  53793·
 2017 07  89810·
 2017 08  9738·
 2017 09  79677.
 2017 10  84720·
 2017 11  20730·


 2017 12  27706.
 2018 01 39675.
 2018 02 58678.
 2018 03 59705·
 2018 04 14683·
 2018 05 47684.
 2018 06 6698·
 2018 07 68770·
 2018 08 63740·
 2018 09 30707.
 2018 10 86796·
 2018 11 36768.
 2018 12 94767.
 2019 01  36690.
 2019 02  78665.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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.







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 Series Title: Employment Level: Nonagricultural Industries, 16-19 years Mexican: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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