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 Series Title: Of Total Unemployed 20 years and over, Men, Percent Unemployed 15 Weeks and over: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 2364.5
 2012 03 5461.4
 2012 02 2856.3
 2012 01 8555.6
 2011 12  8957·6
 2011 11  760·8
 2011 10  760·3
 2011 09  8862·7
 2011 08  2861·0
 2011 07  6561·3
 2011 06  9460·4
 2011 05  9666·2
 2011 04  9066·8
 2011 03  964·0
 2011 02  059·5
 2011 01  5357.6
 2010 12 5058.6
 2010 11 4661·4
 2010 10 6463·6
 2010 09 2860.9
 2010 08 961·0
 2010 07 862·8
 2010 06 4964.2
 2010 05 1568·7
 2010 04 9370·2
 2010 03 5163.5
 2010 02 4358·8
 2010 01 3456.0
 2009 12  5059.3
 2009 11  5761·8
 2009 10  5959·6
 2009 09  2958·1
 2009 08  5856·6
 2009 07  3256·6
 2009 06  3454.7
 2009 05  6853.8
 2009 04  1653.7
 2009 03  946·4
 2009 02  3141.5
 2009 01  4635.9
 2008 12 5039·1
 2008 11 4339.5
 2008 10 3942·3
 2008 09 8339·0
 2008 08 1039.8
 2008 07 1737·3
 2008 06 6936.9
 2008 05 2138·8
 2008 04 7145·2
 2008 03 3736·2
 2008 02 6133·0
 2008 01 3132.3
 2007 12  3433.3
 2007 11  3534.7
 2007 10  7732·1
 2007 09  635.6
 2007 08  2438.7
 2007 07  6836·9
 2007 06  537·2
 2007 05  6637.0
 2007 04  9342.0
 2007 03  1639.3
 2007 02  5730·9
 2007 01  5427·4
 2006 12 1429·4
 2006 11 8732.6
 2006 10 7231.4
 2006 09 4135.1
 2006 08 8836.1
 2006 07 1233.1
 2006 06 1335.8
 2006 05 1940·1
 2006 04 4243.4
 2006 03 4940.5
 2006 02 6737.2
 2006 01 931·5
 2005 12  2535·0
 2005 11  7836·8
 2005 10  4737.1
 2005 09  5436·0
 2005 08  1239·1
 2005 07  635·7
 2005 06  9235·2
 2005 05  2342·7
 2005 04  444.8
 2005 03  6542.3
 2005 02  6336·1
 2005 01  1135·8
 2004 12 2737·1
 2004 11 1239·0
 2004 10 5040.6
 2004 09 3738.2
 2004 08 3136.1
 2004 07 2738.1
 2004 06 6441·7
 2004 05 4445·7
 2004 04 9046.2
 2004 03 1946.5
 2004 02 4442.6
 2004 01 337.6
 2003 12  741·5
 2003 11  1842.4
 2003 10  5342·2
 2003 09  742.7
 2003 08  543.0
 2003 07  8142·8
 2003 06  7842·1
 2003 05  7544·6
 2003 04  3546.4
 2003 03  9042.9
 2003 02  3339·5
 2003 01  5136.5
 2002 12 7438.9
 2002 11 5138·2
 2002 10 5540.4
 2002 09 539·5
 2002 08 2035·4
 2002 07 9638.1
 2002 06 739.9
 2002 05 3142·4
 2002 04 041.6
 2002 03 8237.3
 2002 02 7832·5
 2002 01 4730.9
 2001 12  6431·8
 2001 11  9131.1
 2001 10  7929·6
 2001 09  9929·0
 2001 08  8728.3
 2001 07  2828·4
 2001 06  4927.0
 2001 05  5428.7
 2001 04  7030·5
 2001 03  2527.8
 2001 02  5125·0
 2001 01  821.2
 2000 12 3826·0
 2000 11 4025.0
 2000 10 7325.7
 2000 09 8023·8
 2000 08 4226.1
 2000 07 5426.0
 2000 06 2723·3
 2000 05 1328·7
 2000 04 5630.8
 2000 03 7430·1
 2000 02 5225·0
 2000 01 7624.1
 1999 12  8228·3
 1999 11  3028·9
 1999 10  1028.2
 1999 09  6530.7
 1999 08  4428·4
 1999 07  8030.6
 1999 06  8933·6
 1999 05  9731·8
 1999 04  9332.4
 1999 03  627·8
 1999 02  225·4
 1999 01  1824.4
 1998 12 525·7
 1998 11 1427.4
 1998 10 8828·9
 1998 09 9530.5
 1998 08 8030.6
 1998 07 3529·1
 1998 06 832.0
 1998 05 2532.4
 1998 04 4334·8
 1998 03 2733·5
 1998 02 5132·1
 1998 01 2428.2
 1997 12  4432.6
 1997 11  7033·4
 1997 10  2934.7
 1997 09  3934.9
 1997 08  5934·3
 1997 07  7337·1
 1997 06  8232.7
 1997 05  3739·4
 1997 04  8942·2
 1997 03  6537·3
 1997 02  7032·9
 1997 01  1329·6
 1996 12 5932.3
 1996 11 532·4
 1996 10 8338·6
 1996 09 8637·4
 1996 08 1837·4
 1996 07 7337·1
 1996 06 3439.7
 1996 05 140·3
 1996 04 4443.4
 1996 03 7640·0
 1996 02 5932.8
 1996 01 2630.7
 1995 12  3531.8
 1995 11  4633.4
 1995 10  2236.6
 1995 09  5536·4
 1995 08  1836.6
 1995 07  4035.8
 1995 06  1236·5
 1995 05  841.9
 1995 04  4245·0
 1995 03  3938·0
 1995 02  4034·5
 1995 01  2932.9
 1994 12 8336.6
 1994 11 4938·5
 1994 10 4542.3
 1994 09 8742·2
 1994 08 4239.6
 1994 07 340·4
 1994 06 8940·3
 1994 05 7645.1
 1994 04 4447.2
 1994 03 5744·1
 1994 02 6138.6
 1994 01 1536·8
 1993 12  3940.0
 1993 11  9241.5
 1993 10  7339.8
 1993 09  4941.1
 1993 08  339·7
 1993 07  1640.8
 1993 06  6440.9
 1993 05  4645.4
 1993 04  3649.3
 1993 03  6043.8
 1993 02  9540·9
 1993 01  040.7
 1992 12 6343.1
 1992 11 8039·3
 1992 10 5641.4
 1992 09 3241·9
 1992 08 3542·8
 1992 07 5944·3
 1992 06 5945.9
 1992 05 8445·6
 1992 04 2846.4
 1992 03 244.4
 1992 02 4138·3
 1992 01 2736.5
 1991 12  4135·2
 1991 11  4233.2
 1991 10  6634·3
 1991 09  5334·8
 1991 08  032.9
 1991 07  3534.6
 1991 06  2237·3
 1991 05  8336·7
 1991 04  5639·6
 1991 03  6333.7
 1991 02  2128.2
 1991 01  6126.6
 1990 12 8326.2
 1990 11 3326.7
 1990 10 227.4
 1990 09 5529·6
 1990 08 8229·2
 1990 07 7526·7
 1990 06 2627·8
 1990 05 6029·7
 1990 04 8032·1
 1990 03 4729·7
 1990 02 8325·8
 1990 01 9525·4
 1989 12  2524.7
 1989 11  3126·0
 1989 10  8527·5
 1989 09  428·6
 1989 08  9326·8
 1989 07  3228·7
 1989 06  7027·6
 1989 05  5632·3
 1989 04  8534.0
 1989 03  8330.3
 1989 02  126·0
 1989 01  4527·0
 1988 12 2727.6
 1988 11 4128.0
 1988 10 6628·8
 1988 09 9132.3
 1988 08 6830.0
 1988 07 8631.8
 1988 06 7734·2
 1988 05 3836·6
 1988 04 8436·8
 1988 03 2634·8
 1988 02 7330.2
 1988 01 5428·6
 1987 12  7529.4
 1987 11  9230·2
 1987 10  1631·2
 1987 09  3435.5
 1987 08  6733·5
 1987 07  4134.3
 1987 06  9438·8
 1987 05  9740.8
 1987 04  1042·5
 1987 03  5536·8
 1987 02  2132·5
 1987 01  8830.6
 1986 12 7931·6
 1986 11 3931·7
 1986 10 3332·7
 1986 09 7434.2
 1986 08 7633·8
 1986 07 2734.1
 1986 06 9536.8
 1986 05 5138·3
 1986 04 2438.8
 1986 03 7336·9
 1986 02 9333.5
 1986 01 3831.1
 1985 12  7632·8
 1985 11  6133.9
 1985 10  4136·0
 1985 09  7933.8
 1985 08  535.4
 1985 07  9734·8
 1985 06  7737·0
 1985 05  4240.8
 1985 04  1343·1
 1985 03  1239·8
 1985 02  6335·6
 1985 01  2231·1
 1984 12 2433.5
 1984 11 6234.6
 1984 10 8835·9
 1984 09 3936.5
 1984 08 9036·5
 1984 07 3137.8
 1984 06 6441.1
 1984 05 3648.1
 1984 04 8647·2
 1984 03 2345·9
 1984 02 2940.7
 1984 01 8240·7
 1983 12  1142·9
 1983 11  7244·6
 1983 10  4644.9
 1983 09  7244·8
 1983 08  9247.1
 1983 07  3348.9
 1983 06  453·0
 1983 05  2555.6
 1983 04  7954·8
 1983 03  8852.2
 1983 02  1446·3
 1983 01  8444·2
 1982 12 4743.2
 1982 11 4440.5
 1982 10 1441.6
 1982 09 2039.8
 1982 08 9639.5
 1982 07 3338.2
 1982 06 6940.9
 1982 05 2543·8
 1982 04 5344.9
 1982 03 1039.7
 1982 02 6533.0
 1982 01 2027·5
 1981 12  6727·8
 1981 11  5927·5
 1981 10  1531·9
 1981 09  4932.8
 1981 08  1334·2
 1981 07  8433.3
 1981 06  5835.5
 1981 05  8039.8
 1981 04  9344·1
 1981 03  1939·7
 1981 02  5634.9
 1981 01  735·5
 1980 12 3137·1
 1980 11 1935.3
 1980 10 9736·9
 1980 09 5135.5
 1980 08 7831·9
 1980 07 6728·5
 1980 06 9428.0
 1980 05 5430·8
 1980 04 1035.4
 1980 03 6930·0
 1980 02 8524.4
 1980 01 8722·4
 1979 12  2624.7
 1979 11  5625.2
 1979 10  3324·0
 1979 09  4323·3
 1979 08  5226.1
 1979 07  8525·3
 1979 06  2526.5
 1979 05  4132·9
 1979 04  3933·8
 1979 03  3831.8
 1979 02  7525·6
 1979 01  2623·2
 1978 12 6124·9
 1978 11 2225·6
 1978 10 2028·1
 1978 09 6628·0
 1978 08 2025.9
 1978 07 6829·7
 1978 06 2430.7
 1978 05 5737.7
 1978 04 4141.2
 1978 03 3335.4
 1978 02 7428·9
 1978 01 1627·7
 1977 12  7331.1
 1977 11  9831.6
 1977 10  8331·9
 1977 09  8934·2
 1977 08  9332·3
 1977 07  7033·7
 1977 06  8936·7
 1977 05  4341.4
 1977 04  143.9
 1977 03  8140.3
 1977 02  5534.4
 1977 01  7534.1
 1976 12 2236·9
 1976 11 8736·7
 1976 10 6937.9
 1976 09 137.2
 1976 08 739·0
 1976 07 7037.8
 1976 06 4341.3
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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: Of Total Unemployed 20 years and over, Men, Percent Unemployed 15 Weeks and over: 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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