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 Series Title: Employment Level: Nonagricultural Industries, 20 years and over, Cuban, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 34497.
 2012 03 13491.
 2012 02 33417·
 2012 01 41420.
 2011 12  8388.
 2011 11  7433.
 2011 10  11461·
 2011 09  26468.
 2011 08  36493·
 2011 07  86491.
 2011 06  77468.
 2011 05  96527.
 2011 04  69479·
 2011 03  34477.
 2011 02  44482·
 2011 01  97473·
 2010 12 81430·
 2010 11 55415·
 2010 10 51473.
 2010 09 97429.
 2010 08 73471.
 2010 07 83471·
 2010 06 60471·
 2010 05 91482.
 2010 04 70475·
 2010 03 72452.
 2010 02 58446.
 2010 01 97454·
 2009 12  23484.
 2009 11  7483·
 2009 10  60454·
 2009 09  61434·
 2009 08  7425.
 2009 07  92425.
 2009 06  2425.
 2009 05  50456.
 2009 04  23440.
 2009 03  59388.
 2009 02  48433.
 2009 01  60497·
 2008 12 96476.
 2008 11 65470·
 2008 10 85475·
 2008 09 9418·
 2008 08 76404.
 2008 07 93457.
 2008 06 27461·
 2008 05 41502.
 2008 04 39504.
 2008 03 47515.
 2008 02 11504·
 2008 01 26475.
 2007 12  85485·
 2007 11  61461.
 2007 10  1413.
 2007 09  57429.
 2007 08  40404·
 2007 07  90477.
 2007 06  83522.
 2007 05  55511.
 2007 04  54536.
 2007 03  17506·
 2007 02  71482.
 2007 01  62471.
 2006 12 1466·
 2006 11 47435.
 2006 10 4405·
 2006 09 49434·
 2006 08 84420.
 2006 07 13460.
 2006 06 43442·
 2006 05 8456.
 2006 04 27471.
 2006 03 72411.
 2006 02 77452.
 2006 01 61448.
 2005 12  80446·
 2005 11  4437·
 2005 10  18404·
 2005 09  49418·
 2005 08  19446·
 2005 07  16426·
 2005 06  5434·
 2005 05  44411.
 2005 04  44368·
 2005 03  41393·
 2005 02  0436·
 2005 01  38422.
 2004 12 81438.
 2004 11 35486·
 2004 10 91476·
 2004 09 51439·
 2004 08 80408.
 2004 07 79381·
 2004 06 92393.
 2004 05 28377·
 2004 04 16388·
 2004 03 80401.
 2004 02 39379.
 2004 01 37396·
 2003 12  90400·
 2003 11  70391·
 2003 10  96392·
 2003 09  72358·
 2003 08  28325·
 2003 07  5311.
 2003 06  51303.
 2003 05  52341·
 2003 04  79352.
 2003 03  67331.
 2003 02  17351·
 2003 01  22345·
 2002 12 19369·
 2002 11 63309.
 2002 10 32312·
 2002 09 51326·
 2002 08 48339.
 2002 07 24358·
 2002 06 57342·
 2002 05 34329·
 2002 04 92290·
 2002 03 6341.
 2002 02 82332·
 2002 01 88306.
 2001 12  2331·
 2001 11  93309.
 2001 10  20306·
 2001 09  58337.
 2001 08  52364.
 2001 07  90390.
 2001 06  7389.
 2001 05  14407·
 2001 04  42371·
 2001 03  28355·
 2001 02  8385·
 2001 01  49323.
 2000 12 0379·
 2000 11 65402·
 2000 10 9375.
 2000 09 83413.
 2000 08 74442.
 2000 07 82443·
 2000 06 25430·
 2000 05 60405·
 2000 04 40357·
 2000 03 86385.
 2000 02 91434·
 2000 01 49404·
 1999 12  98379.
 1999 11  8348.
 1999 10  73333·
 1999 09  43405.
 1999 08  75437·
 1999 07  5437·
 1999 06  57421·
 1999 05  63392·
 1999 04  19363·
 1999 03  59379.
 1999 02  56411·
 1999 01  53394.
 1998 12 8381.
 1998 11 76364·
 1998 10 9338.
 1998 09 81375·
 1998 08 40376.
 1998 07 88371.
 1998 06 78371·
 1998 05 41338·
 1998 04 42306·
 1998 03 52323·
 1998 02 50329.
 1998 01 53371·
 1997 12  64363.
 1997 11  49341.
 1997 10  40332·
 1997 09  62337·
 1997 08  81336·
 1997 07  86341·
 1997 06  85368·
 1997 05  35389.
 1997 04  94345.
 1997 03  94355·
 1997 02  47320·
 1997 01  68352.
 1996 12 27372·
 1996 11 31370.
 1996 10 15356.
 1996 09 78341.
 1996 08 33349·
 1996 07 77356·
 1996 06 1387.
 1996 05 12344.
 1996 04 85314.
 1996 03 40290·
 1996 02 44298·
 1996 01 37296·
 1995 12  84314.
 1995 11  50311·
 1995 10  6319·
 1995 09  48329·
 1995 08  55323·
 1995 07  66330·
 1995 06  75300.
 1995 05  63281.
 1995 04  50300.
 1995 03  68292.
 1995 02  64313·
 1995 01  28302·
 1994 12 43289·
 1994 11 63305·
 1994 10 11328.
 1994 09 11331.
 1994 08 35336·
 1994 07 82330·
 1994 06 79305·
 1994 05 6306·
 1994 04 51267.
 1994 03 83272.
 1994 02 56300·
 1994 01 33276·
 1993 12  42287.
 1993 11  47287·
 1993 10  54305.
 1993 09  35311·
 1993 08  82317·
 1993 07  80300·
 1993 06  12314.
 1993 05  82318·
 1993 04  73290.
 1993 03  15308·
 1993 02  92302·
 1993 01  68325·
 1992 12 39316·
 1992 11 7283·
 1992 10 82284·
 1992 09 13265·
 1992 08 32259.
 1992 07 39281.
 1992 06 96295.
 1992 05 59309.
 1992 04 26286.
 1992 03 17304·
 1992 02 71301.
 1992 01 76289·
 1991 12  22289·
 1991 11  72264.
 1991 10  69285.
 1991 09  59277.
 1991 08  45274·
 1991 07  62323·
 1991 06  80323·
 1991 05  27330·
 1991 04  46324.
 1991 03  69327·
 1991 02  15310.
 1991 01  23309.
 1990 12 0296·
 1990 11 97301·
 1990 10 13290.
 1990 09 18285·
 1990 08 8302.
 1990 07 81309·
 1990 06 36325·
 1990 05 4294.
 1990 04 94305.
 1990 03 75294·
 1990 02 73318·
 1990 01 1321·
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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, 20 years and over, Cuban, Men: 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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