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 Series Title: Percent Of Job Losers on Layoff 20 years and over, Men Unemployed Less than 5 Weeks: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 2337·6
 2012 03 2331.2
 2012 02 6330·1
 2012 01 2947.3
 2011 12  2762.4
 2011 11  6864.3
 2011 10  6557.9
 2011 09  5955.5
 2011 08  7360.2
 2011 07  8856.6
 2011 06  4372.4
 2011 05  6355·0
 2011 04  1142·8
 2011 03  6233·3
 2011 02  928.5
 2011 01  8546.1
 2010 12 1560.0
 2010 11 9860.4
 2010 10 251·8
 2010 09 9352.5
 2010 08 8847.3
 2010 07 2848.1
 2010 06 8552·8
 2010 05 8341.4
 2010 04 5331.2
 2010 03 827.2
 2010 02 4531.0
 2010 01 7342.0
 2009 12  6154.6
 2009 11  1950.3
 2009 10  9650·4
 2009 09  752·4
 2009 08  8842.2
 2009 07  6947.4
 2009 06  7445·1
 2009 05  5543.4
 2009 04  3439.0
 2009 03  8834.5
 2009 02  4438·1
 2009 01  1047·3
 2008 12 2563.9
 2008 11 3467·5
 2008 10 9371.5
 2008 09 9363.7
 2008 08 1058.9
 2008 07 8956.3
 2008 06 3464.0
 2008 05 4660.9
 2008 04 6642.4
 2008 03 5844.3
 2008 02 538.0
 2008 01 3955·1
 2007 12  9372.3
 2007 11  7468.2
 2007 10  6874.5
 2007 09  6662·5
 2007 08  1548.5
 2007 07  9364·1
 2007 06  1255·5
 2007 05  4750.1
 2007 04  8443·1
 2007 03  9631.5
 2007 02  5038.8
 2007 01  2651.0
 2006 12 7466·8
 2006 11 9164·6
 2006 10 1876.2
 2006 09 7073·2
 2006 08 8756·1
 2006 07 1066.3
 2006 06 8264.6
 2006 05 7656·6
 2006 04 4843.7
 2006 03 831.1
 2006 02 2733.0
 2006 01 6250·8
 2005 12  670·5
 2005 11  6761·6
 2005 10  6761.3
 2005 09  7171.5
 2005 08  3866.1
 2005 07  9461.2
 2005 06  4060.2
 2005 05  7451·6
 2005 04  4343.8
 2005 03  2135·2
 2005 02  1038·1
 2005 01  6551·0
 2004 12 4866·1
 2004 11 470·7
 2004 10 6262.9
 2004 09 6156.9
 2004 08 256.0
 2004 07 2661·6
 2004 06 1256.5
 2004 05 855.4
 2004 04 8139.9
 2004 03 9134.9
 2004 02 9626·7
 2004 01 7648.8
 2003 12  8660.9
 2003 11  3360·9
 2003 10  7761·7
 2003 09  5654·1
 2003 08  4146.4
 2003 07  854·3
 2003 06  4453·8
 2003 05  7054.2
 2003 04  9736·7
 2003 03  9729.7
 2003 02  933·7
 2003 01  6246.4
 2002 12 3059·7
 2002 11 860.2
 2002 10 959·9
 2002 09 9950.1
 2002 08 4052·9
 2002 07 7156·5
 2002 06 950.0
 2002 05 7743·4
 2002 04 5243.0
 2002 03 4331.9
 2002 02 9636.7
 2002 01 1552·3
 2001 12  1660·7
 2001 11  760.1
 2001 10  8265.5
 2001 09  5656.4
 2001 08  954.3
 2001 07  6861·2
 2001 06  662.6
 2001 05  7054.5
 2001 04  3046.6
 2001 03  5934·8
 2001 02  3139·0
 2001 01  5158.7
 2000 12 564·6
 2000 11 3565.5
 2000 10 4465·5
 2000 09 1964·1
 2000 08 8464.5
 2000 07 7966·1
 2000 06 5859·1
 2000 05 1659·6
 2000 04 4347·2
 2000 03 9839.6
 2000 02 1240.7
 2000 01 1360.1
 1999 12  8266.5
 1999 11  2265·0
 1999 10  6759.3
 1999 09  463·3
 1999 08  2657·3
 1999 07  967·2
 1999 06  1351.7
 1999 05  751·8
 1999 04  2641.5
 1999 03  4031·4
 1999 02  6141.4
 1999 01  6852·8
 1998 12 5763·1
 1998 11 2267.2
 1998 10 5068.0
 1998 09 5469·0
 1998 08 2054·4
 1998 07 8672·6
 1998 06 4364·5
 1998 05 6055·7
 1998 04 4054·8
 1998 03 8938.3
 1998 02 2734·9
 1998 01 656·2
 1997 12  6762·5
 1997 11  1465·7
 1997 10  1667·7
 1997 09  3561·4
 1997 08  7766.4
 1997 07  6574·8
 1997 06  4762.0
 1997 05  1761.9
 1997 04  7041.5
 1997 03  7637·0
 1997 02  8334·8
 1997 01  4558.4
 1996 12 7164.5
 1996 11 268.2
 1996 10 1261·2
 1996 09 4063·9
 1996 08 3257·4
 1996 07 2564.1
 1996 06 4852.2
 1996 05 4443.6
 1996 04 2646·9
 1996 03 5234.5
 1996 02 2734·9
 1996 01 2753.9
 1995 12  5661.8
 1995 11  1568.7
 1995 10  1366·0
 1995 09  8467·5
 1995 08  4557.1
 1995 07  7167·7
 1995 06  9459.2
 1995 05  3349.3
 1995 04  4541·4
 1995 03  029·1
 1995 02  8236.3
 1995 01  1956.0
 1994 12 3164·9
 1994 11 965·1
 1994 10 1553.5
 1994 09 1046.2
 1994 08 354·0
 1994 07 3164.0
 1994 06 5760.0
 1994 05 135.8
 1994 04 8740·9
 1994 03 2127·6
 1994 02 9631·1
 1994 01 1151·2
 1993 12  3355·0
 1993 11  6248.7
 1993 10  4352.3
 1993 09  8553·4
 1993 08  1651·3
 1993 07  6048·4
 1993 06  3742.8
 1993 05  9038·7
 1993 04  3732·5
 1993 03  4729·6
 1993 02  4132.7
 1993 01  2241.9
 1992 12 2144·2
 1992 11 7953·4
 1992 10 4354·4
 1992 09 049.6
 1992 08 1946·7
 1992 07 3845·8
 1992 06 5639.9
 1992 05 6737·7
 1992 04 636.9
 1992 03 3028.2
 1992 02 1734·2
 1992 01 9343·7
 1991 12  8249·7
 1991 11  8861·2
 1991 10  9053·0
 1991 09  7246.8
 1991 08  7347·7
 1991 07  6845·3
 1991 06  6241·7
 1991 05  2343.2
 1991 04  3039·4
 1991 03  5136·7
 1991 02  4640.1
 1991 01  9049·5
 1990 12 2653.8
 1990 11 4565.9
 1990 10 8161·4
 1990 09 4255·7
 1990 08 6452·6
 1990 07 8054.6
 1990 06 2850.7
 1990 05 7541·5
 1990 04 6845.8
 1990 03 1443·0
 1990 02 7638·9
 1990 01 555·9
 1989 12  8963·7
 1989 11  2867.9
 1989 10  3863·4
 1989 09  7960·6
 1989 08  260·8
 1989 07  2859·6
 1989 06  5252·3
 1989 05  6544·7
 1989 04  740.2
 1989 03  4738.1
 1989 02  8141·6
 1989 01  5651·2
 1988 12 3153·1
 1988 11 4156.8
 1988 10 1164.2
 1988 09 7357.0
 1988 08 2261.5
 1988 07 9254.1
 1988 06 5855.7
 1988 05 5944.5
 1988 04 5835.1
 1988 03 636·7
 1988 02 5736·1
 1988 01 8452.4
 1987 12  3762·0
 1987 11  1560·2
 1987 10  7358·4
 1987 09  4257.2
 1987 08  8646·5
 1987 07  7657·3
 1987 06  9246.1
 1987 05  5145·7
 1987 04  5440·0
 1987 03  7038·0
 1987 02  2939.6
 1987 01  5647.0
 1986 12 1854·2
 1986 11 357.7
 1986 10 2058.0
 1986 09 2648·7
 1986 08 7846.5
 1986 07 951.4
 1986 06 2941.3
 1986 05 5644.5
 1986 04 5840·5
 1986 03 4238.6
 1986 02 4435·1
 1986 01 6343·5
 1985 12  1151.8
 1985 11  8558.6
 1985 10  7754.6
 1985 09  9451·0
 1985 08  947·3
 1985 07  4558.0
 1985 06  6747·2
 1985 05  1542.9
 1985 04  5546·4
 1985 03  5232.1
 1985 02  7638·0
 1985 01  2352.6
 1984 12 7458·3
 1984 11 6558.4
 1984 10 9255·7
 1984 09 3646.6
 1984 08 1653.6
 1984 07 6452.7
 1984 06 2846.8
 1984 05 9737.8
 1984 04 5634·2
 1984 03 5530·0
 1984 02 2233·4
 1984 01 7739·9
 1983 12  9438·7
 1983 11  7242.9
 1983 10  3644.6
 1983 09  6933.8
 1983 08  5739·4
 1983 07  6938.1
 1983 06  6031·9
 1983 05  9326.6
 1983 04  9527·1
 1983 03  3023·9
 1983 02  529.2
 1983 01  9237.7
 1982 12 8237·6
 1982 11 6043.3
 1982 10 1037.2
 1982 09 3639·6
 1982 08 2038.3
 1982 07 9242·6
 1982 06 3738.5
 1982 05 1937·7
 1982 04 3337·1
 1982 03 8134.2
 1982 02 7432.4
 1982 01 6045.2
 1981 12  7251·7
 1981 11  1054·5
 1981 10  3559·4
 1981 09  352.0
 1981 08  1351·4
 1981 07  8450·7
 1981 06  5642.2
 1981 05  1741.9
 1981 04  5631·5
 1981 03  3729.8
 1981 02  231·4
 1981 01  9741·0
 1980 12 2640·6
 1980 11 2442.7
 1980 10 5935·0
 1980 09 6233·7
 1980 08 7435.8
 1980 07 2743·2
 1980 06 4147.1
 1980 05 5551.9
 1980 04 7542·4
 1980 03 5332·0
 1980 02 8637·2
 1980 01 4656·8
 1979 12  2956·8
 1979 11  3365.5
 1979 10  5658.5
 1979 09  2954·8
 1979 08  6363·6
 1979 07  2466·0
 1979 06  4062.7
 1979 05  2446.7
 1979 04  2546·4
 1979 03  733·8
 1979 02  5039.2
 1979 01  7356.9
 1978 12 9261·1
 1978 11 9063.5
 1978 10 2469.4
 1978 09 4753.5
 1978 08 6462.2
 1978 07 462·7
 1978 06 2550.4
 1978 05 4049.7
 1978 04 6637.6
 1978 03 531.8
 1978 02 4133.7
 1978 01 7050·3
 1977 12  5061.5
 1977 11  7654.7
 1977 10  8647·8
 1977 09  8353.0
 1977 08  8952·9
 1977 07  2257·3
 1977 06  9552·2
 1977 05  4641·7
 1977 04  8536.1
 1977 03  7631.0
 1977 02  3441·3
 1977 01  5442.5
 1976 12 6356·6
 1976 11 9451.2
 1976 10 8954·2
 1976 09 2750.2
 1976 08 7349.2
 1976 07 5750.1
 1976 06 7339·9
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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

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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: Percent Of Job Losers on Layoff 20 years and over, Men Unemployed Less than 5 Weeks: 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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