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 Series Title: Percent of Total Job Losers 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 3618.6
 2012 03 5516·7
 2012 02 5717.8
 2012 01 422.3
 2011 12  8924·3
 2011 11  119.2
 2011 10  3420.4
 2011 09  1220.0
 2011 08  3919.3
 2011 07  7619.4
 2011 06  4522.0
 2011 05  5017.9
 2011 04  3716.8
 2011 03  6316·0
 2011 02  014·7
 2011 01  6222.2
 2010 12 5922.0
 2010 11 6819.7
 2010 10 3817·4
 2010 09 1819.4
 2010 08 416.6
 2010 07 2219·3
 2010 06 2218·8
 2010 05 1014·3
 2010 04 9913.8
 2010 03 8313.3
 2010 02 4015·2
 2010 01 5920.1
 2009 12  9321.5
 2009 11  3118·9
 2009 10  420.3
 2009 09  919.4
 2009 08  6218·3
 2009 07  7420.5
 2009 06  5320·4
 2009 05  2820·7
 2009 04  621·5
 2009 03  4321·6
 2009 02  4924·8
 2009 01  1234.4
 2008 12 5134.0
 2008 11 9535·1
 2008 10 8035·9
 2008 09 7833.2
 2008 08 4734.3
 2008 07 1232.8
 2008 06 6033·9
 2008 05 7139·9
 2008 04 7029·2
 2008 03 032·8
 2008 02 2630·5
 2008 01 6138·9
 2007 12  2040·2
 2007 11  9035·7
 2007 10  4041·2
 2007 09  4136·2
 2007 08  2134.1
 2007 07  4036.2
 2007 06  9232·5
 2007 05  3132.7
 2007 04  2631.1
 2007 03  3127.0
 2007 02  9333.4
 2007 01  7539·3
 2006 12 847·3
 2006 11 7040.0
 2006 10 8243·5
 2006 09 4140.9
 2006 08 6936·7
 2006 07 8838·8
 2006 06 2141·1
 2006 05 2533.6
 2006 04 3431.5
 2006 03 4130·5
 2006 02 9928·8
 2006 01 4539·4
 2005 12  5340·0
 2005 11  1335·0
 2005 10  2839.8
 2005 09  4541.2
 2005 08  238·4
 2005 07  937·3
 2005 06  4636·2
 2005 05  9432.2
 2005 04  8029·4
 2005 03  6026·8
 2005 02  1730·4
 2005 01  8734.6
 2004 12 1437·3
 2004 11 2535·3
 2004 10 2735·5
 2004 09 4336.9
 2004 08 5435.8
 2004 07 8337.3
 2004 06 9035.1
 2004 05 629·3
 2004 04 7527.4
 2004 03 4224·5
 2004 02 4422·0
 2004 01 4433·6
 2003 12  7832.2
 2003 11  3428·8
 2003 10  5232.1
 2003 09  5328·3
 2003 08  8831.1
 2003 07  1431.1
 2003 06  130·5
 2003 05  5128.7
 2003 04  5425.2
 2003 03  6625·1
 2003 02  524.7
 2003 01  8232·5
 2002 12 5431.4
 2002 11 9534.1
 2002 10 132.9
 2002 09 1730.0
 2002 08 8733.8
 2002 07 3334·1
 2002 06 5231.5
 2002 05 4729·8
 2002 04 7827.5
 2002 03 3628·2
 2002 02 4629·9
 2002 01 9438·6
 2001 12  7933·5
 2001 11  8738.4
 2001 10  9642.9
 2001 09  142·8
 2001 08  6341.9
 2001 07  9237·5
 2001 06  4041·5
 2001 05  3643.5
 2001 04  3241.2
 2001 03  8234.7
 2001 02  4139.9
 2001 01  9548·4
 2000 12 1246·1
 2000 11 1448.8
 2000 10 8645.9
 2000 09 9751·1
 2000 08 5245.3
 2000 07 7147.3
 2000 06 8946·0
 2000 05 8544·2
 2000 04 2737.8
 2000 03 5835.9
 2000 02 8834·3
 2000 01 2847.6
 1999 12  3946.6
 1999 11  745·2
 1999 10  4548.0
 1999 09  2246.0
 1999 08  1344·0
 1999 07  7443.9
 1999 06  4837.9
 1999 05  8439.7
 1999 04  9936·9
 1999 03  4333·0
 1999 02  1037.7
 1999 01  6042.2
 1998 12 7245.8
 1998 11 1846.1
 1998 10 6943.4
 1998 09 1843·4
 1998 08 3337·1
 1998 07 3245.9
 1998 06 8839·9
 1998 05 5238.9
 1998 04 737.5
 1998 03 4133.4
 1998 02 5530.8
 1998 01 8241·1
 1997 12  4439.6
 1997 11  2838·9
 1997 10  8240.5
 1997 09  5137.3
 1997 08  2137.3
 1997 07  9735·3
 1997 06  841.6
 1997 05  3037·3
 1997 04  3730.4
 1997 03  8327·9
 1997 02  9628·7
 1997 01  1142.3
 1996 12 1838·2
 1996 11 4043·6
 1996 10 3333·9
 1996 09 1435·6
 1996 08 1432·8
 1996 07 5035·5
 1996 06 3231.8
 1996 05 8431.7
 1996 04 130.4
 1996 03 2126.7
 1996 02 3131·4
 1996 01 8939·1
 1995 12  7837·2
 1995 11  8443.3
 1995 10  9335·1
 1995 09  2337·7
 1995 08  7231·3
 1995 07  9539.7
 1995 06  636.0
 1995 05  734.5
 1995 04  3328·8
 1995 03  3627·3
 1995 02  8327.7
 1995 01  8340.6
 1994 12 3638·0
 1994 11 1438.7
 1994 10 6229.5
 1994 09 2130·6
 1994 08 8132·8
 1994 07 6136.6
 1994 06 533·9
 1994 05 1524·0
 1994 04 9427·5
 1994 03 3222·4
 1994 02 123·3
 1994 01 8435·4
 1993 12  2632.6
 1993 11  1027·9
 1993 10  6229.1
 1993 09  7229·0
 1993 08  5127.9
 1993 07  229.1
 1993 06  2625·5
 1993 05  4923.6
 1993 04  7023·7
 1993 03  3821·5
 1993 02  5723.4
 1993 01  926.4
 1992 12 925.8
 1992 11 7629.2
 1992 10 4130.2
 1992 09 7127.0
 1992 08 1725·0
 1992 07 9726.1
 1992 06 9326·3
 1992 05 7825.0
 1992 04 7123·6
 1992 03 822·9
 1992 02 4923·9
 1992 01 131·0
 1991 12  7031·6
 1991 11  4136.3
 1991 10  7334.0
 1991 09  3330.5
 1991 08  4132.3
 1991 07  5129·5
 1991 06  5228·8
 1991 05  9329.8
 1991 04  3326.8
 1991 03  2227.4
 1991 02  130.7
 1991 01  2536.0
 1990 12 2136·4
 1990 11 5944·5
 1990 10 5539·8
 1990 09 9936·8
 1990 08 736·9
 1990 07 9439·4
 1990 06 7939.7
 1990 05 933.6
 1990 04 1634.3
 1990 03 8433·7
 1990 02 5932.7
 1990 01 7439·5
 1989 12  9744.1
 1989 11  1042·5
 1989 10  1043.1
 1989 09  3839·3
 1989 08  2737.7
 1989 07  7938.3
 1989 06  6939.5
 1989 05  7034·0
 1989 04  532·6
 1989 03  2330·3
 1989 02  9935·3
 1989 01  6538.6
 1988 12 5837.7
 1988 11 9839·9
 1988 10 8741·8
 1988 09 4135.2
 1988 08 3534.9
 1988 07 8631·8
 1988 06 4735·2
 1988 05 4233·2
 1988 04 1329·5
 1988 03 9328·1
 1988 02 1728·5
 1988 01 3935·4
 1987 12  9040.0
 1987 11  5239.3
 1987 10  5938·4
 1987 09  2434·2
 1987 08  9332·9
 1987 07  1833·9
 1987 06  6130·4
 1987 05  1729·3
 1987 04  7326·8
 1987 03  7426·8
 1987 02  3629·4
 1987 01  6333·6
 1986 12 336.2
 1986 11 2735.9
 1986 10 2237·6
 1986 09 3032·0
 1986 08 8632.0
 1986 07 632.4
 1986 06 8329.8
 1986 05 1230·1
 1986 04 4628·5
 1986 03 7126·6
 1986 02 528·1
 1986 01 2934·1
 1985 12  3432·7
 1985 11  136.7
 1985 10  234·8
 1985 09  2433·4
 1985 08  2432·0
 1985 07  434.1
 1985 06  1232.2
 1985 05  6828.0
 1985 04  1929·5
 1985 03  1225·0
 1985 02  9727.2
 1985 01  5335.9
 1984 12 4235·7
 1984 11 8036.6
 1984 10 4535.0
 1984 09 032.1
 1984 08 4433·5
 1984 07 9133.9
 1984 06 7029.1
 1984 05 5223.7
 1984 04 123.8
 1984 03 5123.5
 1984 02 924·6
 1984 01 7828·7
 1983 12  1326.4
 1983 11  9226.8
 1983 10  2528.2
 1983 09  7326.7
 1983 08  524·3
 1983 07  7125.0
 1983 06  621.1
 1983 05  5618.7
 1983 04  2817·8
 1983 03  6917·4
 1983 02  6519.9
 1983 01  7025·0
 1982 12 5725·8
 1982 11 9229.4
 1982 10 4027.9
 1982 09 8629.4
 1982 08 9329·0
 1982 07 7330·4
 1982 06 9329·3
 1982 05 9726.7
 1982 04 6124·6
 1982 03 6926·1
 1982 02 1326.5
 1982 01 2235.3
 1981 12  1136.0
 1981 11  5937.7
 1981 10  1238·3
 1981 09  535·9
 1981 08  1933.5
 1981 07  5335.0
 1981 06  2933·8
 1981 05  1630·3
 1981 04  8526.2
 1981 03  8026·4
 1981 02  2526·3
 1981 01  4930·6
 1980 12 3430.6
 1980 11 9831.1
 1980 10 9029.1
 1980 09 2328·4
 1980 08 1830.3
 1980 07 8834·0
 1980 06 3635.2
 1980 05 8137.6
 1980 04 1132·7
 1980 03 5729.6
 1980 02 130.7
 1980 01 9443.9
 1979 12  1341.2
 1979 11  3746·0
 1979 10  4840·9
 1979 09  5537.6
 1979 08  5142·2
 1979 07  8440·8
 1979 06  6440.8
 1979 05  8333.1
 1979 04  7434·8
 1979 03  8028·5
 1979 02  6230.5
 1979 01  2341.9
 1978 12 5842.2
 1978 11 3143.9
 1978 10 8243·4
 1978 09 4436.5
 1978 08 340.4
 1978 07 7039.6
 1978 06 8434.4
 1978 05 3934·0
 1978 04 3528·8
 1978 03 5227·3
 1978 02 5827.0
 1978 01 2936·2
 1977 12  335·9
 1977 11  6035·5
 1977 10  1634·2
 1977 09  5633·1
 1977 08  8534.3
 1977 07  9937·3
 1977 06  9633.6
 1977 05  9127·0
 1977 04  7927.1
 1977 03  324.7
 1977 02  6026·8
 1977 01  2729·9
 1976 12 1132.0
 1976 11 2732.9
 1976 10 9833.1
 1976 09 8430.6
 1976 08 3229·0
 1976 07 5232.3
 1976 06 2124·6
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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 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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