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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 47394·
 1990 02 31438·
 1990 03 24471.
 1990 04 16422.
 1990 05 20442.
 1990 06 54466.
 1990 07 35508.
 1990 08 13495·
 1990 09 16446.
 1990 10 31429·
 1990 11 4383·
 1990 12 66403·
 1991 01  85417·
 1991 02  45403.
 1991 03  42376·
 1991 04  17362·
 1991 05  2349·
 1991 06  1383·
 1991 07  88394·
 1991 08  37394·
 1991 09  68367.
 1991 10  33409·
 1991 11  6417.
 1991 12  19417.
 1992 01 9391·
 1992 02 95383.
 1992 03 81355·
 1992 04 82334·
 1992 05 73303.
 1992 06 71366.
 1992 07 29437·
 1992 08 71444.
 1992 09 38413.
 1992 10 66381·
 1992 11 86372.
 1992 12 55382·
 1993 01  3345·
 1993 02  12354·
 1993 03  15362.
 1993 04  28383.
 1993 05  94346·
 1993 06  66366.
 1993 07  5458·
 1993 08  9429·
 1993 09  61390.
 1993 10  9408·
 1993 11  68390.
 1993 12  42349·
 1994 01 79364·
 1994 02 49315·
 1994 03 42360·
 1994 04 96342·
 1994 05 49410.
 1994 06 16439.
 1994 07 90485·
 1994 08 66457·
 1994 09 97373.
 1994 10 68414·
 1994 11 99424.
 1994 12 70439.
 1995 01  72370·
 1995 02  86363·
 1995 03  84378·
 1995 04  53389·
 1995 05  50399·
 1995 06  77485.
 1995 07  81516·
 1995 08  84459·
 1995 09  32385.
 1995 10  72379.
 1995 11  53357.
 1995 12  57434·
 1996 01 42385·
 1996 02 27447·
 1996 03 89385·
 1996 04 91386.
 1996 05 32361.
 1996 06 26410·
 1996 07 2461·
 1996 08 30427·
 1996 09 76431·
 1996 10 74457.
 1996 11 28387.
 1996 12 44384·
 1997 01  76395·
 1997 02  2414.
 1997 03  32407·
 1997 04  27414.
 1997 05  55424.
 1997 06  68483·
 1997 07  0470·
 1997 08  97451·
 1997 09  66403·
 1997 10  54476·
 1997 11  47490·
 1997 12  99478.
 1998 01 83464.
 1998 02 65537.
 1998 03 9543·
 1998 04 2507·
 1998 05 6570·
 1998 06 33568.
 1998 07 50582·
 1998 08 0577·
 1998 09 61540·
 1998 10 16562.
 1998 11 57498.
 1998 12 13543.
 1999 01  99539·
 1999 02  94538·
 1999 03  44554·
 1999 04  84545.
 1999 05  94544.
 1999 06  75571·
 1999 07  48625·
 1999 08  82646·
 1999 09  48595·
 1999 10  90601·
 1999 11  32555·
 1999 12  3575·
 2000 01 85608·
 2000 02 95627.
 2000 03 85634.
 2000 04 64652.
 2000 05 56706.
 2000 06 73700.
 2000 07 18756.
 2000 08 10686.
 2000 09 36665·
 2000 10 30692.
 2000 11 70642·
 2000 12 10714.
 2001 01  26656·
 2001 02  97694.
 2001 03  4645.
 2001 04  58629·
 2001 05  51624·
 2001 06  32687·
 2001 07  8732·
 2001 08  74702.
 2001 09  62689.
 2001 10  15707·
 2001 11  94695.
 2001 12  2678·
 2002 01 33601.
 2002 02 54603.
 2002 03 1601·
 2002 04 10591·
 2002 05 66582.
 2002 06 80604·
 2002 07 91603·
 2002 08 93597.
 2002 09 85606.
 2002 10 49551.
 2002 11 52600.
 2002 12 70560.
 2003 01  41485·
 2003 02  45502.
 2003 03  98488·
 2003 04  85490·
 2003 05  10539.
 2003 06  72579.
 2003 07  65591·
 2003 08  7501.
 2003 09  92458·
 2003 10  63466·
 2003 11  17497·
 2003 12  31495.
 2004 01 12433.
 2004 02 74438.
 2004 03 42480·
 2004 04 75490.
 2004 05 20519.
 2004 06 87557.
 2004 07 53577.
 2004 08 84547·
 2004 09 93557·
 2004 10 9570·
 2004 11 87566.
 2004 12 27602·
 2005 01  29493.
 2005 02  71558·
 2005 03  8556·
 2005 04  98565.
 2005 05  56546·
 2005 06  30616·
 2005 07  3614·
 2005 08  15600.
 2005 09  23575·
 2005 10  68567·
 2005 11  85594·
 2005 12  24605·
 2006 01 5571·
 2006 02 91592.
 2006 03 93635.
 2006 04 94599.
 2006 05 3604·
 2006 06 30595·
 2006 07 88658.
 2006 08 18596.
 2006 09 43544.
 2006 10 44580.
 2006 11 59585.
 2006 12 15620.
 2007 01  74587·
 2007 02  12569·
 2007 03  20597·
 2007 04  31600.
 2007 05  73574·
 2007 06  42606·
 2007 07  6647.
 2007 08  33627.
 2007 09  39638·
 2007 10  65617·
 2007 11  83581·
 2007 12  17582·
 2008 01 98572.
 2008 02 38587·
 2008 03 37616.
 2008 04 0611.
 2008 05 0595·
 2008 06 43652.
 2008 07 81635.
 2008 08 28600·
 2008 09 21546.
 2008 10 87512·
 2008 11 54501·
 2008 12 70535.
 2009 01  60495.
 2009 02  0522.
 2009 03  17487·
 2009 04  19519.
 2009 05  45494·
 2009 06  40580.
 2009 07  60574·
 2009 08  95489.
 2009 09  24465·
 2009 10  88384·
 2009 11  94386.
 2009 12  42388.
 2010 01 74392.
 2010 02 51450.
 2010 03 59507.
 2010 04 29458.
 2010 05 94479.
 2010 06 61465·
 2010 07 16502·
 2010 08 50447·
 2010 09 10430·
 2010 10 73416.
 2010 11 54471.
 2010 12 25450.
 2011 01  72432·
 2011 02  71426·
 2011 03  85400.
 2011 04  97449·
 2011 05  57441·
 2011 06  60455.
 2011 07  48493·
 2011 08  36424.
 2011 09  63452·
 2011 10  72469·
 2011 11  5468.
 2011 12  35537.
 2012 01 17493.
 2012 02 63525·
 2012 03 44530.
 2012 04 14545.
 2012 05 70528·
 2012 06 16601.
 2012 07 78612·
 2012 08 18524·
 2012 09 95529·
 2012 10 37502·
 2012 11 45538.
 2012 12 14491·
 2013 01  94578.
 2013 02  58527·
 2013 03  8491·
 2013 04  98568.
 2013 05  93562·
 2013 06  35638·
 2013 07  54611·
 2013 08  89532.
 2013 09  41548·
 2013 10  50534.
 2013 11  97593·
 2013 12  30541.
 2014 01 14495.
 2014 02 10487·
 2014 03 75569·
 2014 04 91538.
 2014 05 12599.
 2014 06 45617·
 2014 07 50634·
 2014 08 65624.
 2014 09 61514·
 2014 10 14622.
 2014 11 10613.
 2014 12 73604.
 2015 01  11604.
 2015 02  97592.
 2015 03  69661.
 2015 04  58639·
 2015 05  37621·
 2015 06  1680.
 2015 07  64682·
 2015 08  89585·
 2015 09  41579.
 2015 10  58580.
 2015 11  57632·
 2015 12  61660·
 2016 01 46642·
 2016 02 24645·
 2016 03 38643·
 2016 04 92645.
 2016 05 5694.
 2016 06 81761.
 2016 07 18759.
 2016 08 27685·
 2016 09 91639·
 2016 10 36583.
 2016 11 36592·
 2016 12 35618.
 2017 01  6620·
 2017 02  21647.
 2017 03  54693.
 2017 04  10698·
 2017 05  75728·
 2017 06  91793.
 2017 07  61810·
 2017 08  71738.


 2017 09  48677·
 2017 10  29720·
 2017 11  69730.
 2017 12  63706·
 2018 01 0675.
 2018 02 41678·
 2018 03 16705.
 2018 04 53683.
 2018 05 33684.
 2018 06 59698·
 2018 07 65770.
 2018 08 38740.
 2018 09 71707·
 2018 10 40796·
 2018 11 4768·
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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.







      Example 1: Get Unemployment Rates for people in Computer jobs







      Example 2: Get Employment Data for Workers in the "Retail Trade" Industry







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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
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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