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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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 2012 04 91545·
 2012 03 15530·
 2012 02 62525·
 2012 01 42493.
 2011 12  87537·
 2011 11  33468·
 2011 10  17469·
 2011 09  7452.
 2011 08  49424.
 2011 07  50493·
 2011 06  73455·
 2011 05  70441.
 2011 04  27449·
 2011 03  46400.
 2011 02  43426·
 2011 01  77432.
 2010 12 98450.
 2010 11 30471·
 2010 10 65416.
 2010 09 95430.
 2010 08 61447·
 2010 07 32502.
 2010 06 1465·
 2010 05 19479.
 2010 04 43458.
 2010 03 9507·
 2010 02 40450.
 2010 01 69392·
 2009 12  92388.
 2009 11  42386.
 2009 10  94384·
 2009 09  88465.
 2009 08  85489.
 2009 07  39574.
 2009 06  1580·
 2009 05  46494.
 2009 04  22519·
 2009 03  31487·
 2009 02  24522.
 2009 01  36495.
 2008 12 29535.
 2008 11 74501·
 2008 10 52512·
 2008 09 78546.
 2008 08 55600.
 2008 07 51635.
 2008 06 96652.
 2008 05 16595·
 2008 04 77611.
 2008 03 67616·
 2008 02 96587·
 2008 01 19572.
 2007 12  95582·
 2007 11  55581·
 2007 10  12617.
 2007 09  81638·
 2007 08  33627.
 2007 07  72647·
 2007 06  35606·
 2007 05  22574.
 2007 04  43600.
 2007 03  98597.
 2007 02  76569·
 2007 01  85587.
 2006 12 99620·
 2006 11 40585·
 2006 10 73580·
 2006 09 40544.
 2006 08 3596·
 2006 07 30658·
 2006 06 90595.
 2006 05 80604.
 2006 04 80599.
 2006 03 26635·
 2006 02 14592.
 2006 01 25571.
 2005 12  79605·
 2005 11  7594·
 2005 10  58567.
 2005 09  20575·
 2005 08  77600.
 2005 07  82614·
 2005 06  59616.
 2005 05  32546·
 2005 04  73565.
 2005 03  81556.
 2005 02  82558.
 2005 01  57493·
 2004 12 94602·
 2004 11 62566.
 2004 10 13570·
 2004 09 14557.
 2004 08 89547·
 2004 07 5577.
 2004 06 66557·
 2004 05 46519·
 2004 04 34490.
 2004 03 18480.
 2004 02 79438.
 2004 01 23433·
 2003 12  30495·
 2003 11  32497·
 2003 10  14466.
 2003 09  38458·
 2003 08  1501.
 2003 07  4591·
 2003 06  59579·
 2003 05  12539.
 2003 04  98490.
 2003 03  16488·
 2003 02  27502·
 2003 01  88485.
 2002 12 97560·
 2002 11 73600·
 2002 10 56551.
 2002 09 35606·
 2002 08 98597·
 2002 07 9603·
 2002 06 10604·
 2002 05 48582.
 2002 04 26591·
 2002 03 78601.
 2002 02 75603·
 2002 01 45601.
 2001 12  31678·
 2001 11  64695·
 2001 10  65707·
 2001 09  71689·
 2001 08  90702·
 2001 07  73732·
 2001 06  17687.
 2001 05  95624·
 2001 04  2629.
 2001 03  36645.
 2001 02  96694.
 2001 01  11656·
 2000 12 93714.
 2000 11 10642.
 2000 10 87692·
 2000 09 38665.
 2000 08 13686·
 2000 07 76756·
 2000 06 5700·
 2000 05 21706.
 2000 04 38652·
 2000 03 42634.
 2000 02 87627.
 2000 01 28608·
 1999 12  68575.
 1999 11  38555.
 1999 10  96601·
 1999 09  53595.
 1999 08  28646.
 1999 07  22625.
 1999 06  20571.
 1999 05  16544.
 1999 04  69545·
 1999 03  76554·
 1999 02  72538·
 1999 01  61539·
 1998 12 67543.
 1998 11 5498·
 1998 10 89562·
 1998 09 57540·
 1998 08 20577·
 1998 07 41582·
 1998 06 36568·
 1998 05 99570·
 1998 04 56507.
 1998 03 42543·
 1998 02 98537.
 1998 01 4464.
 1997 12  24478.
 1997 11  88490.
 1997 10  91476.
 1997 09  18403·
 1997 08  0451.
 1997 07  87470.
 1997 06  50483·
 1997 05  9424.
 1997 04  84414.
 1997 03  70407.
 1997 02  40414.
 1997 01  73395·
 1996 12 2384·
 1996 11 93387.
 1996 10 48457·
 1996 09 27431.
 1996 08 3427.
 1996 07 39461·
 1996 06 87410·
 1996 05 16361·
 1996 04 64386·
 1996 03 14385.
 1996 02 94447.
 1996 01 9385·
 1995 12  84434.
 1995 11  49357·
 1995 10  34379·
 1995 09  0385.
 1995 08  90459·
 1995 07  1516·
 1995 06  93485·
 1995 05  9399.
 1995 04  31389.
 1995 03  52378.
 1995 02  85363·
 1995 01  80370.
 1994 12 83439.
 1994 11 9424·
 1994 10 47414.
 1994 09 81373·
 1994 08 46457.
 1994 07 3485·
 1994 06 42439.
 1994 05 7410.
 1994 04 45342.
 1994 03 91360·
 1994 02 59315·
 1994 01 77364·
 1993 12  32349.
 1993 11  54390.
 1993 10  10408·
 1993 09  35390.
 1993 08  82429.
 1993 07  99458·
 1993 06  33366.
 1993 05  50346.
 1993 04  94383.
 1993 03  58362.
 1993 02  90354.
 1993 01  17345·
 1992 12 94382.
 1992 11 87372.
 1992 10 71381.
 1992 09 54413·
 1992 08 33444.
 1992 07 69437·
 1992 06 87366·
 1992 05 6303.
 1992 04 86334·
 1992 03 9355·
 1992 02 77383·
 1992 01 41391·
 1991 12  53417.
 1991 11  39417·
 1991 10  3409·
 1991 09  55367·
 1991 08  60394.
 1991 07  16394·
 1991 06  53383·
 1991 05  66349·
 1991 04  57362.
 1991 03  21376.
 1991 02  41403.
 1991 01  18417·
 1990 12 20403.
 1990 11 62383.
 1990 10 4429.
 1990 09 80446.
 1990 08 49495.
 1990 07 70508.
 1990 06 5466.
 1990 05 47442·
 1990 04 69422·
 1990 03 1471.
 1990 02 32438.
 1990 01 38394·
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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: 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

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