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 Series Title: Percent of Total Job Losers 20 years and over, Men Unemployed 5-14 Weeks: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 4817·4
 2012 03 8922·8
 2012 02 4828.8
 2012 01 9725.7
 2011 12  3121·2
 2011 11  4720.7
 2011 10  4719·6
 2011 09  5816·5
 2011 08  9219.9
 2011 07  1719.6
 2011 06  5816.0
 2011 05  3115·4
 2011 04  8317.3
 2011 03  7821·6
 2011 02  9727·6
 2011 01  5823·3
 2010 12 7821.5
 2010 11 3920·0
 2010 10 9919·0
 2010 09 1018.5
 2010 08 7820·7
 2010 07 3117.1
 2010 06 2815·6
 2010 05 8115.8
 2010 04 815.2
 2010 03 1123.5
 2010 02 7326.5
 2010 01 9024.9
 2009 12  2021·2
 2009 11  5920·0
 2009 10  4519·8
 2009 09  8022·0
 2009 08  8724.7
 2009 07  8423·5
 2009 06  8323.9
 2009 05  2127.4
 2009 04  1126.8
 2009 03  1535·1
 2009 02  4937.5
 2009 01  833·9
 2008 12 1731·5
 2008 11 1130.2
 2008 10 3224.8
 2008 09 5928.4
 2008 08 5627.2
 2008 07 5331.0
 2008 06 4531·1
 2008 05 1824·5
 2008 04 228·6
 2008 03 4734·1
 2008 02 2538.9
 2008 01 5532·4
 2007 12  5629·6
 2007 11  2534.8
 2007 10  3530.3
 2007 09  6330.3
 2007 08  4430.8
 2007 07  4429.3
 2007 06  6330·4
 2007 05  6330·9
 2007 04  1627.8
 2007 03  8537.2
 2007 02  2241·3
 2007 01  9739·4
 2006 12 4728.5
 2006 11 5531.2
 2006 10 5026·5
 2006 09 3526·1
 2006 08 3829·3
 2006 07 8528·9
 2006 06 1023.7
 2006 05 7226.4
 2006 04 1426.3
 2006 03 3331·4
 2006 02 9037.2
 2006 01 2634.3
 2005 12  2528.8
 2005 11  8028·9
 2005 10  226.3
 2005 09  4226.8
 2005 08  4723.9
 2005 07  3228.5
 2005 06  8429·9
 2005 05  8926.0
 2005 04  8025.4
 2005 03  2135·2
 2005 02  036.3
 2005 01  6032.6
 2004 12 5127·8
 2004 11 427.9
 2004 10 3725.6
 2004 09 7526.6
 2004 08 827.4
 2004 07 6325.3
 2004 06 822·3
 2004 05 7824·0
 2004 04 2727.0
 2004 03 329.5
 2004 02 5137.2
 2004 01 3931·6
 2003 12  1028.4
 2003 11  5728·1
 2003 10  2925.1
 2003 09  5129.1
 2003 08  8027·3
 2003 07  8227.4
 2003 06  3027.9
 2003 05  3326·6
 2003 04  9028·2
 2003 03  5933.1
 2003 02  6636.8
 2003 01  3133·0
 2002 12 1330·4
 2002 11 9427.9
 2002 10 7626.0
 2002 09 1227·3
 2002 08 5030.1
 2002 07 1926.6
 2002 06 2328·2
 2002 05 7125.1
 2002 04 2831·4
 2002 03 9135.1
 2002 02 9438.9
 2002 01 2733.7
 2001 12  9536.9
 2001 11  9233·4
 2001 10  229.6
 2001 09  2429.8
 2001 08  2829·5
 2001 07  2833·3
 2001 06  8531·7
 2001 05  3226.9
 2001 04  2727.7
 2001 03  3137·3
 2001 02  638.3
 2001 01  4434.9
 2000 12 1834.3
 2000 11 5829.0
 2000 10 5328.6
 2000 09 8025·1
 2000 08 5029.9
 2000 07 8930.2
 2000 06 3930·6
 2000 05 8429.1
 2000 04 9931.9
 2000 03 3235.9
 2000 02 243·8
 2000 01 2431.9
 1999 12  6628·2
 1999 11  1929.0
 1999 10  430·0
 1999 09  9627.3
 1999 08  7629·5
 1999 07  627·1
 1999 06  3428·8
 1999 05  1826.4
 1999 04  7830.4
 1999 03  7440·0
 1999 02  440·7
 1999 01  3437·7
 1998 12 5032·6
 1998 11 3132.9
 1998 10 5230·2
 1998 09 1426.9
 1998 08 9132.9
 1998 07 727·6
 1998 06 4227·6
 1998 05 5229.7
 1998 04 2630·6
 1998 03 6035.1
 1998 02 6039.3
 1998 01 6634.1
 1997 12  633.4
 1997 11  7229.6
 1997 10  2127·8
 1997 09  127·7
 1997 08  630.0
 1997 07  4827.5
 1997 06  6125·2
 1997 05  2624·1
 1997 04  2729·7
 1997 03  2136·2
 1997 02  4442.2
 1997 01  3632.3
 1996 12 9434·2
 1996 11 4728.5
 1996 10 5729.1
 1996 09 4928.2
 1996 08 5728.9
 1996 07 828.0
 1996 06 1428·2
 1996 05 930·3
 1996 04 9327.8
 1996 03 1035·1
 1996 02 5337·4
 1996 01 8634·9
 1995 12  036.0
 1995 11  8529·0
 1995 10  3531·4
 1995 09  7427.9
 1995 08  533·4
 1995 07  9028·2
 1995 06  5026·7
 1995 05  9124.4
 1995 04  5828·5
 1995 03  636.8
 1995 02  1042.0
 1995 01  8330·5
 1994 12 3429.9
 1994 11 4126.9
 1994 10 5331.3
 1994 09 1828.9
 1994 08 3430.1
 1994 07 2524.2
 1994 06 4124.2
 1994 05 9029·3
 1994 04 8326·4
 1994 03 1534·6
 1994 02 6440.6
 1994 01 1929·3
 1993 12  3226.5
 1993 11  9328.0
 1993 10  3329·1
 1993 09  4826·6
 1993 08  5627.8
 1993 07  6625.1
 1993 06  8626.3
 1993 05  4724·8
 1993 04  5523·4
 1993 03  6532.2
 1993 02  8733.6
 1993 01  1030·8
 1992 12 5429·9
 1992 11 4728.4
 1992 10 2326.4
 1992 09 5626·3
 1992 08 526.5
 1992 07 9324·1
 1992 06 823·4
 1992 05 3024.9
 1992 04 8326.2
 1992 03 1030·7
 1992 02 7837.5
 1992 01 9932·5
 1991 12  8732·1
 1991 11  3029·0
 1991 10  9729·3
 1991 09  5929·9
 1991 08  4331·7
 1991 07  1030.8
 1991 06  5328.8
 1991 05  2930·0
 1991 04  232.0
 1991 03  3138·2
 1991 02  5941·5
 1991 01  5236.6
 1990 12 4036.8
 1990 11 9929.3
 1990 10 5330·7
 1990 09 9831.9
 1990 08 5532.2
 1990 07 4630.7
 1990 06 9729.8
 1990 05 6134.2
 1990 04 7532·8
 1990 03 3037.1
 1990 02 8041.7
 1990 01 6135.3
 1989 12  4831·0
 1989 11  3131.2
 1989 10  1329·2
 1989 09  4029·1
 1989 08  5231.7
 1989 07  5730·5
 1989 06  3629.2
 1989 05  7030.4
 1989 04  8529·3
 1989 03  3836·5
 1989 02  1137·1
 1989 01  4233·6
 1988 12 7434.8
 1988 11 3229·6
 1988 10 2625·8
 1988 09 7826·1
 1988 08 6831.1
 1988 07 2031·0
 1988 06 9426·2
 1988 05 2024·4
 1988 04 4428·9
 1988 03 933·8
 1988 02 5340·4
 1988 01 3837·0
 1987 12  130·3
 1987 11  3028·3
 1987 10  6527·5
 1987 09  2725·0
 1987 08  6628·8
 1987 07  4127.2
 1987 06  1924·3
 1987 05  424·6
 1987 04  8725·6
 1987 03  2234·1
 1987 02  2736.5
 1987 01  1635·7
 1986 12 4231·2
 1986 11 8031.7
 1986 10 2826.6
 1986 09 2928.2
 1986 08 2930·5
 1986 07 4830·1
 1986 06 8429.5
 1986 05 4027.2
 1986 04 7528·8
 1986 03 8133.7
 1986 02 8337.9
 1986 01 6634·6
 1985 12  3034.0
 1985 11  6127.6
 1985 10  3727·2
 1985 09  5229·6
 1985 08  6930·0
 1985 07  9627.7
 1985 06  8625·7
 1985 05  6825.8
 1985 04  9324.5
 1985 03  1634.0
 1985 02  9235.6
 1985 01  732.4
 1984 12 2730·3
 1984 11 7828.3
 1984 10 4225.6
 1984 09 8826.5
 1984 08 2224·4
 1984 07 6424·7
 1984 06 5023·9
 1984 05 5523·0
 1984 04 5224·8
 1984 03 8127·6
 1984 02 5332·0
 1984 01 7929·7
 1983 12  1929·3
 1983 11  5926·2
 1983 10  1423.2
 1983 09  5223·0
 1983 08  4724.2
 1983 07  5721.3
 1983 06  2220.0
 1983 05  9422·1
 1983 04  8824.4
 1983 03  5529.2
 1983 02  8932.4
 1983 01  4929.9
 1982 12 1530.8
 1982 11 6029·3
 1982 10 5328.6
 1982 09 8728·1
 1982 08 3128.4
 1982 07 328.7
 1982 06 7625·9
 1982 05 126.1
 1982 04 6028.7
 1982 03 4232.9
 1982 02 4841.2
 1982 01 1038·1
 1981 12  5235·9
 1981 11  5834·0
 1981 10  8027.5
 1981 09  6028.6
 1981 08  8429.2
 1981 07  5829.4
 1981 06  1125.8
 1981 05  1825·3
 1981 04  5426·6
 1981 03  7332.2
 1981 02  337·2
 1981 01  7931·1
 1980 12 9030·1
 1980 11 6030.3
 1980 10 4429·6
 1980 09 6231·5
 1980 08 4135.0
 1980 07 034·8
 1980 06 4834.1
 1980 05 1129·0
 1980 04 8229.3
 1980 03 139.1
 1980 02 5245·1
 1980 01 9634.1
 1979 12  1434.2
 1979 11  9329·8
 1979 10  1933·3
 1979 09  1035·3
 1979 08  6328·4
 1979 07  3429.7
 1979 06  3725.3
 1979 05  7327.0
 1979 04  7827.8
 1979 03  536·6
 1979 02  1945·2
 1979 01  2837·2
 1978 12 3634.0
 1978 11 1230·1
 1978 10 225.9
 1978 09 4633.3
 1978 08 3632.1
 1978 07 8828·1
 1978 06 5028.9
 1978 05 2023·9
 1978 04 326.0
 1978 03 9034.9
 1978 02 5043.5
 1978 01 6936·9
 1977 12  9030·7
 1977 11  9730·6
 1977 10  1630·1
 1977 09  3728.4
 1977 08  6929.3
 1977 07  1824.5
 1977 06  8522.6
 1977 05  9426·3
 1977 04  4325.0
 1977 03  8432·5
 1977 02  2037.3
 1977 01  3335.0
 1976 12 3730.0
 1976 11 5227·9
 1976 10 924·7
 1976 09 7428.5
 1976 08 027.7
 1976 07 324.4
 1976 06 6525.2
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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: Percent of Total Job Losers 20 years and over, Men Unemployed 5-14 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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