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 Series Title: Employment Level: Nonagricultural Industries, 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 70499.
 2012 03 73495.
 2012 02 39421.
 2012 01 65425.
 2011 12  72393·
 2011 11  81443·
 2011 10  19475·
 2011 09  39482.
 2011 08  77503·
 2011 07  26505·
 2011 06  37484.
 2011 05  49539·
 2011 04  37486·
 2011 03  88485·
 2011 02  7486·
 2011 01  40476·
 2010 12 26430.
 2010 11 74418·
 2010 10 66483·
 2010 09 80438·
 2010 08 45486.
 2010 07 17483·
 2010 06 77490·
 2010 05 64501.
 2010 04 20494·
 2010 03 71465·
 2010 02 28461.
 2010 01 10463.
 2009 12  0499·
 2009 11  20501·
 2009 10  32465·
 2009 09  63442·
 2009 08  62446.
 2009 07  70444.
 2009 06  26440.
 2009 05  93466.
 2009 04  5450.
 2009 03  53403·
 2009 02  75440·
 2009 01  92509.
 2008 12 56489.
 2008 11 24487.
 2008 10 64490.
 2008 09 81435·
 2008 08 63427·
 2008 07 66481·
 2008 06 9485·
 2008 05 3533.
 2008 04 3512.
 2008 03 85529·
 2008 02 45520.
 2008 01 28487·
 2007 12  77505·
 2007 11  14476.
 2007 10  37428·
 2007 09  49439.
 2007 08  9417.
 2007 07  8496.
 2007 06  72532.
 2007 05  86520.
 2007 04  50543.
 2007 03  49513.
 2007 02  62488.
 2007 01  83475.
 2006 12 75481.
 2006 11 45445.
 2006 10 47419·
 2006 09 10443·
 2006 08 85425.
 2006 07 26474·
 2006 06 89442.
 2006 05 59456.
 2006 04 5473·
 2006 03 49417·
 2006 02 75456.
 2006 01 52453.
 2005 12  85458·
 2005 11  96452·
 2005 10  18418.
 2005 09  30433.
 2005 08  2452·
 2005 07  73438·
 2005 06  57440·
 2005 05  64414·
 2005 04  54371.
 2005 03  13395.
 2005 02  55436·
 2005 01  49427.
 2004 12 68449.
 2004 11 71497·
 2004 10 99488.
 2004 09 2460.
 2004 08 95429.
 2004 07 30405.
 2004 06 1408.
 2004 05 68382·
 2004 04 8394.
 2004 03 96406·
 2004 02 1386·
 2004 01 16401·
 2003 12  10409·
 2003 11  1404·
 2003 10  61396·
 2003 09  41367·
 2003 08  25335·
 2003 07  1313·
 2003 06  68309·
 2003 05  62347·
 2003 04  3360.
 2003 03  78337.
 2003 02  36355.
 2003 01  22349.
 2002 12 20376·
 2002 11 38316.
 2002 10 3316·
 2002 09 91332·
 2002 08 77346.
 2002 07 14370.
 2002 06 31354·
 2002 05 63334.
 2002 04 99294.
 2002 03 62349.
 2002 02 9343·
 2002 01 57309·
 2001 12  35334·
 2001 11  63321·
 2001 10  48311.
 2001 09  17341.
 2001 08  63368·
 2001 07  24397·
 2001 06  88406.
 2001 05  12424·
 2001 04  81389·
 2001 03  78369·
 2001 02  91402.
 2001 01  38343·
 2000 12 15390.
 2000 11 80413.
 2000 10 45379.
 2000 09 11414.
 2000 08 17446.
 2000 07 11447·
 2000 06 62444.
 2000 05 78423.
 2000 04 60369.
 2000 03 80401.
 2000 02 82451.
 2000 01 7415.
 1999 12  46392.
 1999 11  17357·
 1999 10  66342·
 1999 09  91413·
 1999 08  0448.
 1999 07  79445·
 1999 06  2439.
 1999 05  51412.
 1999 04  72382·
 1999 03  48394·
 1999 02  4417·
 1999 01  30402.
 1998 12 37395.
 1998 11 30378.
 1998 10 8350.
 1998 09 98380·
 1998 08 97386.
 1998 07 57380·
 1998 06 80383·
 1998 05 48355·
 1998 04 77328.
 1998 03 85333.
 1998 02 5336·
 1998 01 0385·
 1997 12  26375.
 1997 11  97352.
 1997 10  97341.
 1997 09  99347·
 1997 08  20351·
 1997 07  99364·
 1997 06  94382·
 1997 05  12402.
 1997 04  60358.
 1997 03  22361.
 1997 02  58328·
 1997 01  34358·
 1996 12 71378·
 1996 11 23381.
 1996 10 78363·
 1996 09 85351·
 1996 08 4357·
 1996 07 84366.
 1996 06 67409·
 1996 05 8360·
 1996 04 33339·
 1996 03 12301.
 1996 02 62301·
 1996 01 73299·
 1995 12  59321.
 1995 11  38315.
 1995 10  26324·
 1995 09  74335·
 1995 08  9326.
 1995 07  18335.
 1995 06  48308·
 1995 05  29291.
 1995 04  31313·
 1995 03  35304.
 1995 02  39326.
 1995 01  84312.
 1994 12 1301.
 1994 11 95307·
 1994 10 39332.
 1994 09 6337.
 1994 08 20341·
 1994 07 29337.
 1994 06 9309·
 1994 05 92315.
 1994 04 14273·
 1994 03 95277.
 1994 02 38312.
 1994 01 58285.
 1993 12  31290.
 1993 11  73290.
 1993 10  39306·
 1993 09  50315.
 1993 08  49322.
 1993 07  71308.
 1993 06  49320.
 1993 05  37327.
 1993 04  67298.
 1993 03  21322.
 1993 02  31318·
 1993 01  13341.
 1992 12 11324.
 1992 11 78285.
 1992 10 74297.
 1992 09 97267·
 1992 08 31264·
 1992 07 24289.
 1992 06 90303·
 1992 05 33322.
 1992 04 3293·
 1992 03 67314·
 1992 02 17312.
 1992 01 91301·
 1991 12  26297.
 1991 11  38279·
 1991 10  18297.
 1991 09  63293.
 1991 08  27288.
 1991 07  93334.
 1991 06  81334.
 1991 05  71337·
 1991 04  55331.
 1991 03  14336·
 1991 02  18317·
 1991 01  57318·
 1990 12 86305.
 1990 11 7309.
 1990 10 69299.
 1990 09 91298·
 1990 08 21309·
 1990 07 5321·
 1990 06 94338·
 1990 05 67302.
 1990 04 85313.
 1990 03 64306·
 1990 02 83328.
 1990 01 5328.
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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, 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

Make charts for Okun's Law and Phillip's Curve

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