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 Series Title: Employment Level: Nonagricultural Industries, Cuban: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 92918.
 2012 03 51926·
 2012 02 41835.
 2012 01 61797·
 2011 12  30733.
 2011 11  70800.
 2011 10  7862.
 2011 09  96876·
 2011 08  71891·
 2011 07  26893·
 2011 06  12874·
 2011 05  67949·
 2011 04  67848.
 2011 03  99878·
 2011 02  67874·
 2011 01  19865·
 2010 12 92808·
 2010 11 96741.
 2010 10 12840·
 2010 09 20777.
 2010 08 47868·
 2010 07 49871.
 2010 06 9872.
 2010 05 64862·
 2010 04 58873·
 2010 03 15868·
 2010 02 46870·
 2010 01 72872·
 2009 12  74866.
 2009 11  75833·
 2009 10  36802.
 2009 09  86752·
 2009 08  72763.
 2009 07  36755·
 2009 06  16732.
 2009 05  76788.
 2009 04  51784.
 2009 03  29746·
 2009 02  51807.
 2009 01  36879.
 2008 12 37870·
 2008 11 11823·
 2008 10 26793.
 2008 09 86779.
 2008 08 80815.
 2008 07 64845.
 2008 06 56830.
 2008 05 69862.
 2008 04 57828·
 2008 03 94876·
 2008 02 79875·
 2008 01 55873·
 2007 12  66876·
 2007 11  34872.
 2007 10  56813·
 2007 09  37808·
 2007 08  34782·
 2007 07  39880·
 2007 06  77914·
 2007 05  35887·
 2007 04  11930.
 2007 03  91861.
 2007 02  54825·
 2007 01  93839·
 2006 12 72883.
 2006 11 98817.
 2006 10 25729·
 2006 09 81739.
 2006 08 18731.
 2006 07 89768·
 2006 06 52744.
 2006 05 91759·
 2006 04 74780·
 2006 03 23739.
 2006 02 24813.
 2006 01 44792.
 2005 12  90793.
 2005 11  81774·
 2005 10  54733·
 2005 09  84749.
 2005 08  42755.
 2005 07  70698.
 2005 06  79702.
 2005 05  79688.
 2005 04  31652.
 2005 03  20703·
 2005 02  62758.
 2005 01  24744.
 2004 12 81754.
 2004 11 90814·
 2004 10 92798·
 2004 09 38756.
 2004 08 43722·
 2004 07 60724·
 2004 06 80722·
 2004 05 65714·
 2004 04 93716.
 2004 03 36724.
 2004 02 66674·
 2004 01 75674.
 2003 12  30672.
 2003 11  52661·
 2003 10  12673.
 2003 09  61631.
 2003 08  81621·
 2003 07  63630·
 2003 06  5584.
 2003 05  42681·
 2003 04  95668·
 2003 03  51601·
 2003 02  59575·
 2003 01  63586.
 2002 12 49611·
 2002 11 22543.
 2002 10 12542.
 2002 09 93564·
 2002 08 41618·
 2002 07 9655.
 2002 06 26587.
 2002 05 26622.
 2002 04 99544·
 2002 03 68596·
 2002 02 89627.
 2002 01 81578.
 2001 12  71596·
 2001 11  80581.
 2001 10  15568.
 2001 09  2607.
 2001 08  34631.
 2001 07  52681·
 2001 06  41639.
 2001 05  58679·
 2001 04  89602·
 2001 03  16635.
 2001 02  29682·
 2001 01  44585·
 2000 12 59655·
 2000 11 29708·
 2000 10 69686·
 2000 09 79727.
 2000 08 96759.
 2000 07 72734.
 2000 06 73688.
 2000 05 7704·
 2000 04 76625·
 2000 03 52703.
 2000 02 78763.
 2000 01 96704.
 1999 12  97643.
 1999 11  99623.
 1999 10  48632·
 1999 09  42711.
 1999 08  87722·
 1999 07  72706.
 1999 06  70695.
 1999 05  62656·
 1999 04  95645·
 1999 03  52676·
 1999 02  58706·
 1999 01  3679·
 1998 12 97640·
 1998 11 45619.
 1998 10 48592·
 1998 09 31628.
 1998 08 93638.
 1998 07 83639.
 1998 06 5617·
 1998 05 43600·
 1998 04 8549.
 1998 03 22564.
 1998 02 16561.
 1998 01 56622·
 1997 12  93609·
 1997 11  45610.
 1997 10  94594.
 1997 09  15565·
 1997 08  23584.
 1997 07  58600.
 1997 06  77610·
 1997 05  89642·
 1997 04  99587·
 1997 03  92598·
 1997 02  28582·
 1997 01  72603.
 1996 12 46628·
 1996 11 4641·
 1996 10 34646.
 1996 09 84613.
 1996 08 15617.
 1996 07 76592·
 1996 06 8626.
 1996 05 68565·
 1996 04 80553·
 1996 03 15518·
 1996 02 89531.
 1996 01 94514.
 1995 12  42560·
 1995 11  51567·
 1995 10  40556.
 1995 09  55604·
 1995 08  27591.
 1995 07  43584.
 1995 06  47545.
 1995 05  72521·
 1995 04  85538·
 1995 03  70531·
 1995 02  24576·
 1995 01  87560·
 1994 12 92538·
 1994 11 41547.
 1994 10 10592·
 1994 09 71584·
 1994 08 47589·
 1994 07 86588.
 1994 06 66548·
 1994 05 17555·
 1994 04 76488.
 1994 03 63514·
 1994 02 81561.
 1994 01 45509·
 1993 12  30533.
 1993 11  52529·
 1993 10  68543·
 1993 09  98532·
 1993 08  84549·
 1993 07  62527.
 1993 06  64561.
 1993 05  46557·
 1993 04  38521.
 1993 03  22549.
 1993 02  32561.
 1993 01  82596·
 1992 12 18584·
 1992 11 90520·
 1992 10 61530.
 1992 09 27488.
 1992 08 73506·
 1992 07 48511.
 1992 06 63514·
 1992 05 24538.
 1992 04 81497.
 1992 03 1537·
 1992 02 76525.
 1992 01 43541.
 1991 12  40553·
 1991 11  83526.
 1991 10  63532·
 1991 09  76511·
 1991 08  77481·
 1991 07  49529.
 1991 06  11554.
 1991 05  45564·
 1991 04  41557.
 1991 03  81575·
 1991 02  35551·
 1991 01  92545·
 1990 12 8541.
 1990 11 85541.
 1990 10 71516.
 1990 09 87522.
 1990 08 79519.
 1990 07 94535.
 1990 06 83586·
 1990 05 24576·
 1990 04 78572.
 1990 03 64570·
 1990 02 58603·
 1990 01 22566·
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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, 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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