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 Series Title: Employment Level: Nonagricultural Industries, 16-19 years, Cuban: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 7210.
 2012 03 4718·
 2012 02 4314.
 2012 01 819.
 2011 12  87.
 2011 11  7116·
 2011 10  2027·
 2011 09  3430.
 2011 08  7319.
 2011 07  5721·
 2011 06  6120.
 2011 05  4821.
 2011 04  1817.
 2011 03  8511·
 2011 02  788.
 2011 01  6712.
 2010 12 1713.
 2010 11 6216.
 2010 10 924·
 2010 09 6016.
 2010 08 7122.
 2010 07 2116·
 2010 06 1727·
 2010 05 2330.
 2010 04 528·
 2010 03 1616.
 2010 02 9022.
 2010 01 7215·
 2009 12  7118·
 2009 11  3118·
 2009 10  4114·
 2009 09  5418.
 2009 08  4232.
 2009 07  7233.
 2009 06  828·
 2009 05  3721·
 2009 04  2015.
 2009 03  7015·
 2009 02  5412·
 2009 01  1516·
 2008 12 3017.
 2008 11 8321.
 2008 10 6619.
 2008 09 725.
 2008 08 2233.
 2008 07 9133·
 2008 06 5725·
 2008 05 5831·
 2008 04 7212.
 2008 03 120·
 2008 02 6626·
 2008 01 3615.
 2007 12  8125.
 2007 11  4617.
 2007 10  5516.
 2007 09  3610.
 2007 08  7225·
 2007 07  8131.
 2007 06  1226.
 2007 05  7723.
 2007 04  9811·
 2007 03  8815.
 2007 02  505.
 2007 01  28·
 2006 12 3319.
 2006 11 7520.
 2006 10 716·
 2006 09 8213·
 2006 08 7816·
 2006 07 7226.
 2006 06 4618·
 2006 05 1016.
 2006 04 5720.
 2006 03 3616.
 2006 02 5416·
 2006 01 616·
 2005 12  2321.
 2005 11  4928·
 2005 10  4527.
 2005 09  1326.
 2005 08  499.
 2005 07  1723.
 2005 06  5623·
 2005 05  118.
 2005 04  3615.
 2005 03  7311.
 2005 02  517·
 2005 01  648.
 2004 12 1018.
 2004 11 7318·
 2004 10 1721.
 2004 09 2031.
 2004 08 2125.
 2004 07 9739.
 2004 06 6734.
 2004 05 1521.
 2004 04 4521·
 2004 03 5412·
 2004 02 3915·
 2004 01 178.
 2003 12  8116.
 2003 11  7525·
 2003 10  9620·
 2003 09  2028.
 2003 08  5530.
 2003 07  1633·
 2003 06  2619·
 2003 05  4414.
 2003 04  1916·
 2003 03  599·
 2003 02  415.
 2003 01  3311.
 2002 12 4617·
 2002 11 1016·
 2002 10 8015.
 2002 09 5512.
 2002 08 3721·
 2002 07 226.
 2002 06 524·
 2002 05 622.
 2002 04 1814·
 2002 03 9126·
 2002 02 533·
 2002 01 312·
 2001 12  409.
 2001 11  5814.
 2001 10  9212·
 2001 09  927.
 2001 08  778·
 2001 07  1112·
 2001 06  417.
 2001 05  4120.
 2001 04  3020.
 2001 03  8028·
 2001 02  432.
 2001 01  4531·
 2000 12 2427.
 2000 11 2332·
 2000 10 8015.
 2000 09 2212·
 2000 08 1014.
 2000 07 2122.
 2000 06 4529·
 2000 05 1721·
 2000 04 6312·
 2000 03 8026.
 2000 02 3723·
 2000 01 9916.
 1999 12  8417.
 1999 11  3311·
 1999 10  1811.
 1999 09  6215·
 1999 08  9821.
 1999 07  3620.
 1999 06  7739·
 1999 05  2630·
 1999 04  5433.
 1999 03  7122·
 1999 02  259.
 1999 01  348.
 1998 12 3014.
 1998 11 4420.
 1998 10 316·
 1998 09 5523.
 1998 08 2428·
 1998 07 8724.
 1998 06 7124.
 1998 05 8430·
 1998 04 6429·
 1998 03 5724·
 1998 02 1811·
 1998 01 3922·
 1997 12  9717·
 1997 11  3516·
 1997 10  5812.
 1997 09  6613.
 1997 08  224.
 1997 07  2734·
 1997 06  2720·
 1997 05  3319.
 1997 04  7617.
 1997 03  6617·
 1997 02  8917·
 1997 01  3415·
 1996 12 4718·
 1996 11 915.
 1996 10 3119·
 1996 09 8818·
 1996 08 6511·
 1996 07 3617·
 1996 06 6729·
 1996 05 3919·
 1996 04 426.
 1996 03 5515·
 1996 02 3412.
 1996 01 5816·
 1995 12  6522.
 1995 11  9617·
 1995 10  9619.
 1995 09  3726.
 1995 08  7418.
 1995 07  1817·
 1995 06  4019·
 1995 05  9617.
 1995 04  8120·
 1995 03  022·
 1995 02  7818.
 1995 01  7916·
 1994 12 6117·
 1994 11 515.
 1994 10 507·
 1994 09 557.
 1994 08 159.
 1994 07 214·
 1994 06 1816.
 1994 05 1922·
 1994 04 6814.
 1994 03 89·
 1994 02 6915·
 1994 01 899·
 1993 12  7011·
 1993 11  5310.
 1993 10  178.
 1993 09  1010.
 1993 08  9813.
 1993 07  4216.
 1993 06  9917.
 1993 05  5019·
 1993 04  5113.
 1993 03  721.
 1993 02  7927.
 1993 01  521·
 1992 12 5516·
 1992 11 59.
 1992 10 4415·
 1992 09 928·
 1992 08 5912.
 1992 07 1813·
 1992 06 78·
 1992 05 5719·
 1992 04 4016.
 1992 03 5222·
 1992 02 720.
 1992 01 6824·
 1991 12  9917.
 1991 11  3927.
 1991 10  516.
 1991 09  1924.
 1991 08  5923.
 1991 07  3420·
 1991 06  9023·
 1991 05  3015.
 1991 04  7216.
 1991 03  2217.
 1991 02  7518·
 1991 01  4517.
 1990 12 1322.
 1990 11 623·
 1990 10 9717.
 1990 09 3223·
 1990 08 8320·
 1990 07 2027·
 1990 06 2027·
 1990 05 8724.
 1990 04 618.
 1990 03 2024.
 1990 02 3228.
 1990 01 2822.
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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.
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      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, Cuban: 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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