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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 87394·
 1990 02 28438·
 1990 03 57471.
 1990 04 3422.
 1990 05 17442·
 1990 06 54466·
 1990 07 69508.
 1990 08 48495·
 1990 09 58446·
 1990 10 22429.
 1990 11 25383.
 1990 12 35403·
 1991 01  58417·
 1991 02  15403·
 1991 03  39376.
 1991 04  9362.
 1991 05  95349.
 1991 06  37383.
 1991 07  49394.
 1991 08  39394.
 1991 09  68367·
 1991 10  22409.
 1991 11  16417.
 1991 12  18417.
 1992 01 2391.
 1992 02 26383.
 1992 03 30355.
 1992 04 67334.
 1992 05 49303·
 1992 06 30366.
 1992 07 3437·
 1992 08 28444.
 1992 09 83413·
 1992 10 41381.
 1992 11 73372.
 1992 12 72382·
 1993 01  5345.
 1993 02  91354.
 1993 03  3362.
 1993 04  92383.
 1993 05  40346·
 1993 06  37366·
 1993 07  81458·
 1993 08  8429·
 1993 09  39390·
 1993 10  59408.
 1993 11  20390.
 1993 12  63349·
 1994 01 76364.
 1994 02 65315.
 1994 03 57360.
 1994 04 27342.
 1994 05 53410.
 1994 06 86439·
 1994 07 55485.
 1994 08 95457·
 1994 09 95373.
 1994 10 79414.
 1994 11 3424·
 1994 12 84439.
 1995 01  52370.
 1995 02  26363·
 1995 03  13378.
 1995 04  40389.
 1995 05  0399·
 1995 06  32485·
 1995 07  23516.
 1995 08  30459·
 1995 09  38385·
 1995 10  31379.
 1995 11  96357.
 1995 12  51434.
 1996 01 93385·
 1996 02 78447·
 1996 03 20385.
 1996 04 20386·
 1996 05 15361·
 1996 06 55410.
 1996 07 8461.
 1996 08 82427·
 1996 09 78431.
 1996 10 69457.
 1996 11 98387·
 1996 12 6384·
 1997 01  84395.
 1997 02  51414.
 1997 03  52407.
 1997 04  86414.
 1997 05  59424·
 1997 06  59483·
 1997 07  59470·
 1997 08  41451·
 1997 09  51403.
 1997 10  73476.
 1997 11  31490·
 1997 12  15478·
 1998 01 37464·
 1998 02 0537.
 1998 03 6543.
 1998 04 78507.
 1998 05 17570.
 1998 06 72568.
 1998 07 47582.
 1998 08 24577.
 1998 09 17540·
 1998 10 46562.
 1998 11 43498.
 1998 12 72543.
 1999 01  86539·
 1999 02  3538·
 1999 03  5554.
 1999 04  65545.
 1999 05  1544.
 1999 06  50571·
 1999 07  72625.
 1999 08  73646·
 1999 09  61595.
 1999 10  19601·
 1999 11  7555.
 1999 12  91575.
 2000 01 93608·
 2000 02 66627·
 2000 03 97634.
 2000 04 37652.
 2000 05 46706.
 2000 06 72700·
 2000 07 56756·
 2000 08 56686.
 2000 09 95665·
 2000 10 45692.
 2000 11 22642·
 2000 12 16714.
 2001 01  42656.
 2001 02  16694·
 2001 03  56645·
 2001 04  12629·
 2001 05  11624·
 2001 06  42687.
 2001 07  48732.
 2001 08  63702·
 2001 09  54689·
 2001 10  4707·
 2001 11  10695.
 2001 12  13678·
 2002 01 44601.
 2002 02 9603·
 2002 03 80601.
 2002 04 31591.
 2002 05 84582·
 2002 06 88604·
 2002 07 20603.
 2002 08 11597·
 2002 09 98606.
 2002 10 99551.
 2002 11 20600·
 2002 12 73560·
 2003 01  36485·
 2003 02  23502·
 2003 03  91488·
 2003 04  61490.
 2003 05  74539.
 2003 06  67579.
 2003 07  71591.
 2003 08  43501.
 2003 09  12458.
 2003 10  61466·
 2003 11  24497.
 2003 12  14495.
 2004 01 77433·
 2004 02 64438.
 2004 03 37480·
 2004 04 93490.
 2004 05 17519·
 2004 06 56557·
 2004 07 23577.
 2004 08 25547.
 2004 09 9557·
 2004 10 44570·
 2004 11 21566.
 2004 12 77602·
 2005 01  52493·
 2005 02  60558.
 2005 03  92556.
 2005 04  45565.
 2005 05  73546·
 2005 06  60616·
 2005 07  25614·
 2005 08  48600·
 2005 09  22575·
 2005 10  26567·
 2005 11  33594.
 2005 12  30605·
 2006 01 73571.
 2006 02 65592.
 2006 03 53635.
 2006 04 59599.
 2006 05 28604.
 2006 06 9595.
 2006 07 49658·
 2006 08 31596.
 2006 09 12544.
 2006 10 13580.
 2006 11 9585·
 2006 12 63620.
 2007 01  76587.
 2007 02  60569.
 2007 03  45597.
 2007 04  1600.
 2007 05  93574·
 2007 06  56606·
 2007 07  95647.
 2007 08  13627·
 2007 09  66638.
 2007 10  33617·
 2007 11  22581.
 2007 12  94582.
 2008 01 19572.
 2008 02 48587·
 2008 03 14616·
 2008 04 63611.
 2008 05 3595.
 2008 06 81652·
 2008 07 83635.
 2008 08 63600·
 2008 09 94546·
 2008 10 41512.
 2008 11 69501.
 2008 12 65535·
 2009 01  90495·
 2009 02  58522·
 2009 03  33487.
 2009 04  62519.
 2009 05  19494·
 2009 06  89580.
 2009 07  64574·
 2009 08  73489·
 2009 09  30465·
 2009 10  16384·
 2009 11  74386·
 2009 12  42388.
 2010 01 99392·
 2010 02 45450·
 2010 03 2507·
 2010 04 39458.
 2010 05 26479·
 2010 06 8465·
 2010 07 10502.
 2010 08 58447.
 2010 09 36430.
 2010 10 62416·
 2010 11 85471.
 2010 12 17450.
 2011 01  81432·
 2011 02  88426·
 2011 03  42400.
 2011 04  62449·
 2011 05  34441.
 2011 06  93455.
 2011 07  18493·
 2011 08  60424·
 2011 09  98452.
 2011 10  9469·
 2011 11  75468.
 2011 12  7537.
 2012 01 96493.
 2012 02 92525·
 2012 03 2530·
 2012 04 22545·
 2012 05 80528·
 2012 06 24601.
 2012 07 12612·
 2012 08 47524·
 2012 09 25529·
 2012 10 11502.
 2012 11 42538·
 2012 12 54491·
 2013 01  31578·
 2013 02  85527·
 2013 03  56491.
 2013 04  35568·
 2013 05  24562·
 2013 06  4638·
 2013 07  40611·
 2013 08  11532·
 2013 09  54548·
 2013 10  47534.
 2013 11  9593·
 2013 12  24541·
 2014 01 96495.
 2014 02 23487.
 2014 03 0569.
 2014 04 45538.
 2014 05 51599·
 2014 06 62617·
 2014 07 76634.
 2014 08 67624·
 2014 09 44514·
 2014 10 22622·
 2014 11 24613·
 2014 12 10604.
 2015 01  26604.
 2015 02  84592·
 2015 03  58661·
 2015 04  17639.
 2015 05  72621·
 2015 06  54680.
 2015 07  16682·
 2015 08  58585.
 2015 09  82579·
 2015 10  65580·
 2015 11  60632·
 2015 12  28660·
 2016 01 82642·
 2016 02 72645·
 2016 03 79643·
 2016 04 44645·
 2016 05 23694.
 2016 06 58761·
 2016 07 84759·
 2016 08 51685.
 2016 09 78639·
 2016 10 29583·
 2016 11 15592·
 2016 12 19618.
 2017 01  50620.
 2017 02  17647.
 2017 03  34693.
 2017 04  42698·


 2017 05  63728.
 2017 06  79793.
 2017 07  29810.
 2017 08  38738·
 2017 09  68677.
 2017 10  96720·
 2017 11  12730·
 2017 12  51706·
 2018 01 40675.
 2018 02 74678·
 2018 03 23705·
 2018 04 52683·
 2018 05 79684·
 2018 06 46698·
 2018 07 23770.
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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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