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 Series Title: Percent of Total Job Losers 20 years and over, Men 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 7764.0
 2012 03 1560.5
 2012 02 3253.3
 2012 01 3952.0
 2011 12  6754.5
 2011 11  5360·1
 2011 10  3360.0
 2011 09  7463·5
 2011 08  2560·7
 2011 07  9061·0
 2011 06  3461·9
 2011 05  866·7
 2011 04  9965.8
 2011 03  762·4
 2011 02  5057·7
 2011 01  8554.4
 2010 12 6556·6
 2010 11 1160.3
 2010 10 1663.6
 2010 09 7462.1
 2010 08 2362.7
 2010 07 3363.6
 2010 06 9865.5
 2010 05 6869·9
 2010 04 070·9
 2010 03 3063.1
 2010 02 8258.3
 2010 01 8855·0
 2009 12  4457·3
 2009 11  8461·1
 2009 10  8159.9
 2009 09  7858.5
 2009 08  3357·0
 2009 07  156·0
 2009 06  3455·7
 2009 05  651.9
 2009 04  6551.7
 2009 03  1343·3
 2009 02  337·7
 2009 01  6631·7
 2008 12 6734·5
 2008 11 7734.7
 2008 10 7539·2
 2008 09 7838·4
 2008 08 8938·5
 2008 07 7436·2
 2008 06 6535·0
 2008 05 8735·6
 2008 04 642.2
 2008 03 1133·1
 2008 02 1030·6
 2008 01 6028.7
 2007 12  1930.1
 2007 11  1929·5
 2007 10  7228·5
 2007 09  9333·5
 2007 08  5235.2
 2007 07  5634.5
 2007 06  4037·0
 2007 05  336·4
 2007 04  5841.2
 2007 03  235.7
 2007 02  2625.3
 2007 01  3721.4
 2006 12 1024.3
 2006 11 6528·8
 2006 10 6929·9
 2006 09 6233.0
 2006 08 934·1
 2006 07 7532.3
 2006 06 3135.2
 2006 05 7340.0
 2006 04 8042·2
 2006 03 9138.0
 2006 02 034.0
 2006 01 8826·3
 2005 12  7531.2
 2005 11  9336·1
 2005 10  8933·9
 2005 09  5332.0
 2005 08  6837.7
 2005 07  8834·2
 2005 06  3633.9
 2005 05  3641·8
 2005 04  6045.2
 2005 03  738·0
 2005 02  433.3
 2005 01  3132·8
 2004 12 7634.9
 2004 11 836·8
 2004 10 8138.8
 2004 09 5836.6
 2004 08 6736·8
 2004 07 7237·4
 2004 06 7942.7
 2004 05 6046·7
 2004 04 745·6
 2004 03 546.0
 2004 02 3740·8
 2004 01 734.8
 2003 12  9839·4
 2003 11  4043.2
 2003 10  1742·8
 2003 09  9342·6
 2003 08  6441.6
 2003 07  3241.5
 2003 06  741·6
 2003 05  3844.7
 2003 04  5746.6
 2003 03  6441·8
 2003 02  2138·5
 2003 01  8434·5
 2002 12 5138.2
 2002 11 4238.0
 2002 10 9641.1
 2002 09 142·6
 2002 08 4736·2
 2002 07 9739.4
 2002 06 9440·3
 2002 05 8445.1
 2002 04 7041·0
 2002 03 8736·7
 2002 02 531.1
 2002 01 5227·7
 2001 12  7129·6
 2001 11  9428·3
 2001 10  4027·5
 2001 09  4827.4
 2001 08  2528·6
 2001 07  2229·2
 2001 06  3826.8
 2001 05  4329.5
 2001 04  3331.1
 2001 03  628·0
 2001 02  6121·8
 2001 01  2916·7
 2000 12 1919.6
 2000 11 022.1
 2000 10 9825.5
 2000 09 2623·8
 2000 08 3524·8
 2000 07 8722·6
 2000 06 6123·4
 2000 05 7926·7
 2000 04 5530·3
 2000 03 7328·2
 2000 02 8821·9
 2000 01 5620.6
 1999 12  8025.2
 1999 11  8925·9
 1999 10  4321·9
 1999 09  5226.7
 1999 08  3526.5
 1999 07  9429·0
 1999 06  1233·2
 1999 05  8533.9
 1999 04  7232·7
 1999 03  6727·0
 1999 02  921·6
 1999 01  120·1
 1998 12 6421·6
 1998 11 1720·9
 1998 10 7226.4
 1998 09 6729.7
 1998 08 1330·0
 1998 07 7426.5
 1998 06 6432·5
 1998 05 7931·4
 1998 04 4431·9
 1998 03 9531·6
 1998 02 7229·8
 1998 01 5424.8
 1997 12  827.0
 1997 11  6131.5
 1997 10  931.7
 1997 09  3935.0
 1997 08  7932.7
 1997 07  8037·2
 1997 06  1433.1
 1997 05  038·6
 1997 04  5839·9
 1997 03  8335·9
 1997 02  4929.1
 1997 01  3425.4
 1996 12 7127.6
 1996 11 2727.8
 1996 10 337.0
 1996 09 5836.2
 1996 08 6838.3
 1996 07 9336.5
 1996 06 8740·0
 1996 05 1838.0
 1996 04 2441·7
 1996 03 8838·2
 1996 02 4031·3
 1996 01 8126.0
 1995 12  4026.7
 1995 11  4427.7
 1995 10  2533·5
 1995 09  4334.4
 1995 08  4035.3
 1995 07  1632·0
 1995 06  2937·2
 1995 05  2241.1
 1995 04  7742.8
 1995 03  8835·9
 1995 02  6630.3
 1995 01  6328.9
 1994 12 2432.0
 1994 11 6534.4
 1994 10 7339·2
 1994 09 3440.6
 1994 08 8237·1
 1994 07 7939.1
 1994 06 1441·9
 1994 05 3046·7
 1994 04 7846·1
 1994 03 8742·9
 1994 02 7636·1
 1994 01 7135·3
 1993 12  6040.9
 1993 11  7144.1
 1993 10  7241·8
 1993 09  9944.4
 1993 08  444·4
 1993 07  3645.8
 1993 06  4048.1
 1993 05  8551·6
 1993 04  1252·9
 1993 03  1646.3
 1993 02  4443.0
 1993 01  2242.7
 1992 12 744·3
 1992 11 6542.4
 1992 10 6943·4
 1992 09 2946·8
 1992 08 4148·4
 1992 07 6749.8
 1992 06 3150·3
 1992 05 5150.1
 1992 04 9050.2
 1992 03 2746.4
 1992 02 6638·5
 1992 01 5736·4
 1991 12  5236·2
 1991 11  7734·7
 1991 10  3736.7
 1991 09  4139.6
 1991 08  5536·0
 1991 07  7539·6
 1991 06  3342·5
 1991 05  2340·3
 1991 04  4741·2
 1991 03  134·4
 1991 02  6627·7
 1991 01  4527·4
 1990 12 526·7
 1990 11 6226·2
 1990 10 7429·5
 1990 09 7831·4
 1990 08 2930·8
 1990 07 9029.8
 1990 06 2130.4
 1990 05 1532.2
 1990 04 4532.9
 1990 03 4129·2
 1990 02 9325.6
 1990 01 7625·2
 1989 12  225.0
 1989 11  9726.3
 1989 10  427·7
 1989 09  431·6
 1989 08  7630·7
 1989 07  6631·1
 1989 06  9131·4
 1989 05  7035.6
 1989 04  6838·1
 1989 03  7733·2
 1989 02  1927.6
 1989 01  6727.8
 1988 12 227.6
 1988 11 8930.5
 1988 10 7332.4
 1988 09 1438.7
 1988 08 3034.0
 1988 07 8237·3
 1988 06 6838·6
 1988 05 5542.4
 1988 04 2741·6
 1988 03 6438·1
 1988 02 4231·1
 1988 01 6027.6
 1987 12  9329·7
 1987 11  6532.4
 1987 10  5634·2
 1987 09  2240·8
 1987 08  5338·2
 1987 07  4438.9
 1987 06  045·3
 1987 05  6246.2
 1987 04  5847.6
 1987 03  8039.1
 1987 02  8534.1
 1987 01  2230·7
 1986 12 8332·6
 1986 11 8132.5
 1986 10 5035·8
 1986 09 7239·9
 1986 08 2937.5
 1986 07 7937.4
 1986 06 5840·8
 1986 05 742.7
 1986 04 2142.7
 1986 03 3039.8
 1986 02 9734·0
 1986 01 4431.3
 1985 12  933.3
 1985 11  1635.7
 1985 10  7938·0
 1985 09  3037.0
 1985 08  6938·0
 1985 07  4338·1
 1985 06  4242·1
 1985 05  3246.2
 1985 04  246·0
 1985 03  4341.0
 1985 02  5037·1
 1985 01  4531.7
 1984 12 3234·0
 1984 11 7335·1
 1984 10 9039.5
 1984 09 8741·5
 1984 08 1042·1
 1984 07 1541.4
 1984 06 7447.0
 1984 05 453.3
 1984 04 1151.4
 1984 03 7448.9
 1984 02 4243.4
 1984 01 6441.6
 1983 12  3644·3
 1983 11  8347.0
 1983 10  5648·6
 1983 09  6150·3
 1983 08  1051·6
 1983 07  9853·7
 1983 06  358·9
 1983 05  1559.1
 1983 04  8457·8
 1983 03  153.4
 1983 02  9747·6
 1983 01  6945.1
 1982 12 3343·4
 1982 11 9941.3
 1982 10 7643.5
 1982 09 9342·5
 1982 08 5742·6
 1982 07 2340.9
 1982 06 244.7
 1982 05 8147.2
 1982 04 8146·8
 1982 03 3041·0
 1982 02 6332·3
 1982 01 5226.7
 1981 12  5728·0
 1981 11  128·3
 1981 10  7234·2
 1981 09  5035·6
 1981 08  5937·3
 1981 07  4335.5
 1981 06  6740.4
 1981 05  4544·4
 1981 04  8947.2
 1981 03  8941.4
 1981 02  1236.5
 1981 01  3038·3
 1980 12 7039·3
 1980 11 9338.6
 1980 10 9341·3
 1980 09 2440.1
 1980 08 5434.7
 1980 07 3931·2
 1980 06 2430·8
 1980 05 7333·4
 1980 04 1638·0
 1980 03 3231.3
 1980 02 4224·2
 1980 01 4421.9
 1979 12  5724.6
 1979 11  524·2
 1979 10  1225.8
 1979 09  3227.1
 1979 08  229·4
 1979 07  1329·5
 1979 06  1933·9
 1979 05  5639.8
 1979 04  037·4
 1979 03  3934.9
 1979 02  7824.4
 1979 01  6120.9
 1978 12 2923·8
 1978 11 9026·1
 1978 10 2630.6
 1978 09 1530.2
 1978 08 8727·6
 1978 07 9632.3
 1978 06 2636.7
 1978 05 1342·1
 1978 04 145.3
 1978 03 1537·8
 1978 02 6629.5
 1978 01 7327·0
 1977 12  2033.4
 1977 11  2833·9
 1977 10  5935.8
 1977 09  4138.6
 1977 08  2136·4
 1977 07  4238·3
 1977 06  4243·8
 1977 05  8446·7
 1977 04  347·9
 1977 03  8842.9
 1977 02  8036·0
 1977 01  9735·1
 1976 12 9338·0
 1976 11 2439.1
 1976 10 5942.2
 1976 09 040.9
 1976 08 3943.3
 1976 07 3043·3
 1976 06 9250.3
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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: Percent of Total Job Losers 20 years and over, Men 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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