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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 75394.
 1990 02 2438.
 1990 03 10471.
 1990 04 33422.
 1990 05 30442·
 1990 06 61466.
 1990 07 87508.
 1990 08 2495.
 1990 09 77446·
 1990 10 43429.
 1990 11 91383.
 1990 12 94403·
 1991 01  65417·
 1991 02  31403.
 1991 03  33376·
 1991 04  54362·
 1991 05  71349.
 1991 06  31383.
 1991 07  52394.
 1991 08  51394·
 1991 09  94367·
 1991 10  73409·
 1991 11  10417.
 1991 12  79417.
 1992 01 60391.
 1992 02 16383.
 1992 03 96355·
 1992 04 57334.
 1992 05 19303·
 1992 06 41366·
 1992 07 22437·
 1992 08 29444·
 1992 09 47413·
 1992 10 54381.
 1992 11 27372·
 1992 12 66382.
 1993 01  44345.
 1993 02  87354·
 1993 03  73362.
 1993 04  59383.
 1993 05  35346·
 1993 06  96366.
 1993 07  47458·
 1993 08  30429·
 1993 09  71390.
 1993 10  64408·
 1993 11  64390·
 1993 12  21349.
 1994 01 28364·
 1994 02 96315.
 1994 03 60360·
 1994 04 3342·
 1994 05 5410.
 1994 06 25439·
 1994 07 0485.
 1994 08 68457.
 1994 09 28373·
 1994 10 7414.
 1994 11 69424·
 1994 12 38439·
 1995 01  48370.
 1995 02  24363.
 1995 03  83378.
 1995 04  54389.
 1995 05  39399·
 1995 06  83485.
 1995 07  77516.
 1995 08  87459·
 1995 09  3385·
 1995 10  14379·
 1995 11  16357·
 1995 12  31434.
 1996 01 64385.
 1996 02 76447·
 1996 03 87385·
 1996 04 5386.
 1996 05 73361·
 1996 06 48410.
 1996 07 3461·
 1996 08 53427·
 1996 09 6431.
 1996 10 39457·
 1996 11 2387·
 1996 12 44384·
 1997 01  62395.
 1997 02  79414.
 1997 03  47407·
 1997 04  73414.
 1997 05  67424.
 1997 06  26483.
 1997 07  26470.
 1997 08  58451·
 1997 09  72403·
 1997 10  60476·
 1997 11  51490·
 1997 12  43478·
 1998 01 52464·
 1998 02 89537.
 1998 03 61543.
 1998 04 99507·
 1998 05 8570.
 1998 06 44568·
 1998 07 18582·
 1998 08 18577·
 1998 09 63540·
 1998 10 82562·
 1998 11 10498.
 1998 12 20543.
 1999 01  71539.
 1999 02  85538.
 1999 03  51554.
 1999 04  50545·
 1999 05  4544·
 1999 06  58571·
 1999 07  78625.
 1999 08  75646·
 1999 09  65595.
 1999 10  35601·
 1999 11  53555·
 1999 12  92575·
 2000 01 77608.
 2000 02 71627.
 2000 03 66634·
 2000 04 17652·
 2000 05 93706.
 2000 06 47700.
 2000 07 28756.
 2000 08 97686·
 2000 09 86665·
 2000 10 72692·
 2000 11 78642.
 2000 12 99714·
 2001 01  58656.
 2001 02  76694.
 2001 03  78645.
 2001 04  19629.
 2001 05  34624.
 2001 06  16687.
 2001 07  17732·
 2001 08  74702.
 2001 09  64689·
 2001 10  73707.
 2001 11  7695.
 2001 12  10678.
 2002 01 23601.
 2002 02 55603.
 2002 03 86601·
 2002 04 96591.
 2002 05 13582·
 2002 06 92604.
 2002 07 17603.
 2002 08 25597.
 2002 09 58606·
 2002 10 43551.
 2002 11 89600·
 2002 12 16560·
 2003 01  9485·
 2003 02  87502.
 2003 03  13488·
 2003 04  15490·
 2003 05  41539·
 2003 06  32579·
 2003 07  28591·
 2003 08  90501·
 2003 09  54458.
 2003 10  10466.
 2003 11  96497.
 2003 12  34495.
 2004 01 75433·
 2004 02 76438·
 2004 03 6480.
 2004 04 68490.
 2004 05 53519·
 2004 06 14557.
 2004 07 71577.
 2004 08 36547.
 2004 09 63557.
 2004 10 28570.
 2004 11 28566.
 2004 12 6602.
 2005 01  7493.
 2005 02  52558·
 2005 03  40556.
 2005 04  72565.
 2005 05  9546·
 2005 06  42616·
 2005 07  95614·
 2005 08  55600·
 2005 09  20575.
 2005 10  78567.
 2005 11  6594·
 2005 12  98605.
 2006 01 16571.
 2006 02 69592·
 2006 03 11635.
 2006 04 69599.
 2006 05 96604·
 2006 06 45595.
 2006 07 73658·
 2006 08 64596·
 2006 09 86544.
 2006 10 64580.
 2006 11 79585.
 2006 12 2620.
 2007 01  37587.
 2007 02  6569·
 2007 03  43597.
 2007 04  25600.
 2007 05  24574·
 2007 06  79606·
 2007 07  2647.
 2007 08  5627.
 2007 09  47638·
 2007 10  14617.
 2007 11  20581·
 2007 12  35582.
 2008 01 31572·
 2008 02 67587·
 2008 03 84616.
 2008 04 33611·
 2008 05 28595·
 2008 06 22652.
 2008 07 7635.
 2008 08 44600.
 2008 09 12546.
 2008 10 83512·
 2008 11 27501·
 2008 12 38535.
 2009 01  84495.
 2009 02  83522·
 2009 03  7487.
 2009 04  9519.
 2009 05  69494.
 2009 06  78580·
 2009 07  35574·
 2009 08  74489.
 2009 09  18465·
 2009 10  50384.
 2009 11  23386·
 2009 12  80388·
 2010 01 5392·
 2010 02 6450.
 2010 03 10507.
 2010 04 94458·
 2010 05 32479.
 2010 06 77465.
 2010 07 59502.
 2010 08 11447·
 2010 09 24430·
 2010 10 20416.
 2010 11 57471.
 2010 12 50450·
 2011 01  31432.
 2011 02  17426.
 2011 03  17400·
 2011 04  56449.
 2011 05  29441.
 2011 06  74455·
 2011 07  77493·
 2011 08  97424.
 2011 09  17452·
 2011 10  22469·
 2011 11  0468·
 2011 12  67537·
 2012 01 22493.
 2012 02 19525.
 2012 03 74530.
 2012 04 86545.
 2012 05 93528·
 2012 06 47601·
 2012 07 12612·
 2012 08 98524·
 2012 09 7529·
 2012 10 10502.
 2012 11 52538·
 2012 12 72491·
 2013 01  63578.
 2013 02  43527·
 2013 03  56491·
 2013 04  2568.
 2013 05  87562.
 2013 06  0638·
 2013 07  12611.
 2013 08  7532.
 2013 09  30548.
 2013 10  64534·
 2013 11  34593·
 2013 12  32541.
 2014 01 66495.
 2014 02 42487.
 2014 03 60569.
 2014 04 45538.
 2014 05 96599.
 2014 06 64617·
 2014 07 51634·
 2014 08 41624.
 2014 09 46514.
 2014 10 88622.
 2014 11 97613.
 2014 12 38604·
 2015 01  65604.
 2015 02  95592.
 2015 03  9661·
 2015 04  81639.
 2015 05  30621·
 2015 06  92680·
 2015 07  26682.
 2015 08  40585.
 2015 09  40579.
 2015 10  10580.
 2015 11  11632·
 2015 12  8660.
 2016 01 22642.
 2016 02 7645.
 2016 03 51643.
 2016 04 4645·
 2016 05 24694.
 2016 06 63761·
 2016 07 60759.
 2016 08 72685.
 2016 09 24639.
 2016 10 86583.
 2016 11 76592.
 2016 12 82618·
 2017 01  21620.
 2017 02  7647.
 2017 03  60693·
 2017 04  28698.
 2017 05  40728.
 2017 06  83793.


 2017 07  2810·
 2017 08  29738.
 2017 09  33677·
 2017 10  95720.
 2017 11  14730·
 2017 12  29706·
 2018 01 73675·
 2018 02 50678·
 2018 03 34705.
 2018 04 97683·
 2018 05 63684.
 2018 06 80698.
 2018 07 24770·
 2018 08 28740·
 2018 09 26707·
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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
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