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 Series Title: Employment Level: Nonagricultural Industries, Cuban, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 67418.
 2012 03 28431.
 2012 02 69413.
 2012 01 62372.
 2011 12  3340·
 2011 11  89357.
 2011 10  20387·
 2011 09  26394.
 2011 08  17388.
 2011 07  61388.
 2011 06  85390·
 2011 05  2410·
 2011 04  61362·
 2011 03  26394.
 2011 02  77388.
 2011 01  33389·
 2010 12 9378·
 2010 11 90323·
 2010 10 32356.
 2010 09 88339·
 2010 08 63382.
 2010 07 85388·
 2010 06 14383.
 2010 05 62361.
 2010 04 46379.
 2010 03 68403·
 2010 02 12410.
 2010 01 74409·
 2009 12  11367·
 2009 11  20332·
 2009 10  37337.
 2009 09  67310.
 2009 08  31316.
 2009 07  47311.
 2009 06  28291·
 2009 05  12322·
 2009 04  9334.
 2009 03  82343.
 2009 02  48367·
 2009 01  1370·
 2008 12 68381.
 2008 11 81337.
 2008 10 84303.
 2008 09 55343·
 2008 08 59388·
 2008 07 26365·
 2008 06 50345.
 2008 05 17329·
 2008 04 59316.
 2008 03 23347·
 2008 02 83355·
 2008 01 57386·
 2007 12  66371·
 2007 11  4396.
 2007 10  46385.
 2007 09  69369·
 2007 08  7366.
 2007 07  26384·
 2007 06  27382.
 2007 05  71367.
 2007 04  32387.
 2007 03  70347.
 2007 02  40337.
 2007 01  9364·
 2006 12 16402·
 2006 11 43372.
 2006 10 21310.
 2006 09 51296.
 2006 08 60305.
 2006 07 77294.
 2006 06 34301.
 2006 05 90303.
 2006 04 89307·
 2006 03 28321.
 2006 02 66357·
 2006 01 48339·
 2005 12  53335·
 2005 11  78322·
 2005 10  31315.
 2005 09  67316·
 2005 08  29303·
 2005 07  33260·
 2005 06  67262·
 2005 05  16274.
 2005 04  15281.
 2005 03  25308.
 2005 02  36322·
 2005 01  90318.
 2004 12 38306.
 2004 11 12317.
 2004 10 26310·
 2004 09 9296·
 2004 08 49293·
 2004 07 73319·
 2004 06 50314·
 2004 05 15332·
 2004 04 21323·
 2004 03 17318.
 2004 02 47288.
 2004 01 79272·
 2003 12  57263·
 2003 11  74257.
 2003 10  78277.
 2003 09  94264.
 2003 08  81286.
 2003 07  2317·
 2003 06  32275·
 2003 05  80334·
 2003 04  43308·
 2003 03  81264·
 2003 02  21220.
 2003 01  80237.
 2002 12 19235.
 2002 11 20227·
 2002 10 84226·
 2002 09 64232.
 2002 08 10272.
 2002 07 48285·
 2002 06 84234·
 2002 05 26288.
 2002 04 40251.
 2002 03 24247.
 2002 02 8284·
 2002 01 86268.
 2001 12  61262.
 2001 11  28260·
 2001 10  69257·
 2001 09  86266.
 2001 08  47264.
 2001 07  67284.
 2001 06  6233·
 2001 05  97255.
 2001 04  0213.
 2001 03  73266·
 2001 02  80281.
 2001 01  12242·
 2000 12 43265.
 2000 11 2295·
 2000 10 80307·
 2000 09 51313·
 2000 08 28314.
 2000 07 37287·
 2000 06 19245.
 2000 05 58281·
 2000 04 31257·
 2000 03 83303.
 2000 02 35311.
 2000 01 2289·
 1999 12  50251.
 1999 11  73266·
 1999 10  90291·
 1999 09  77299.
 1999 08  13274.
 1999 07  63262.
 1999 06  73257·
 1999 05  2244·
 1999 04  69263·
 1999 03  34282·
 1999 02  96290.
 1999 01  21276.
 1998 12 94246·
 1998 11 94241.
 1998 10 98242.
 1998 09 4249·
 1998 08 88251.
 1998 07 74260.
 1998 06 40233.
 1998 05 45244.
 1998 04 76221.
 1998 03 30230.
 1998 02 12226·
 1998 01 62237·
 1997 12  9233·
 1997 11  45259·
 1997 10  25253.
 1997 09  1218.
 1997 08  63234.
 1997 07  24236.
 1997 06  19227·
 1997 05  29239·
 1997 04  37229.
 1997 03  0237·
 1997 02  55254·
 1997 01  42244·
 1996 12 57250·
 1996 11 29261·
 1996 10 22283.
 1996 09 58261.
 1996 08 73260.
 1996 07 93227·
 1996 06 32217.
 1996 05 21204.
 1996 04 62214.
 1996 03 98217.
 1996 02 23230·
 1996 01 1215.
 1995 12  22240·
 1995 11  77252.
 1995 10  59232.
 1995 09  92270.
 1995 08  80265.
 1995 07  85249.
 1995 06  27238·
 1995 05  13230.
 1995 04  86225.
 1995 03  4227.
 1995 02  40250.
 1995 01  8248.
 1994 12 16236·
 1994 11 42240·
 1994 10 36260·
 1994 09 46248.
 1994 08 69248.
 1994 07 29250.
 1994 06 78238·
 1994 05 21240·
 1994 04 71215·
 1994 03 22237·
 1994 02 53249·
 1994 01 53225.
 1993 12  73243·
 1993 11  3239·
 1993 10  75238·
 1993 09  85216·
 1993 08  50227·
 1993 07  79219.
 1993 06  82240.
 1993 05  87230·
 1993 04  2222·
 1993 03  81226·
 1993 02  36243.
 1993 01  54255.
 1992 12 55259.
 1992 11 66235·
 1992 10 25233.
 1992 09 3221·
 1992 08 59243.
 1992 07 16222·
 1992 06 62211.
 1992 05 79216·
 1992 04 89204.
 1992 03 36224·
 1992 02 86213·
 1992 01 52241.
 1991 12  46256·
 1991 11  60246.
 1991 10  58236·
 1991 09  15217·
 1991 08  56193.
 1991 07  42195.
 1991 06  68220·
 1991 05  87228·
 1991 04  68226·
 1991 03  66239.
 1991 02  27234·
 1991 01  14226·
 1990 12 59236·
 1990 11 37232·
 1990 10 74216.
 1990 09 63224.
 1990 08 27210.
 1990 07 88214.
 1990 06 71248.
 1990 05 30273·
 1990 04 0258·
 1990 03 75264·
 1990 02 6275.
 1990 01 32238.
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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, Women: 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

Subscribers can access data in Excel spreadsheet, and Copy & Paste formats.

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