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 Series Title: Percent of Total Job Losers 20 years and over, Men Unemployed 15-26 Weeks: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 5318.7
 2012 03 619.6
 2012 02 6015·7
 2012 01 7912·7
 2011 12  5412.7
 2011 11  7512.3
 2011 10  3612.6
 2011 09  6112·3
 2011 08  5314.6
 2011 07  7413·0
 2011 06  4513.9
 2011 05  7217·2
 2011 04  9919·8
 2011 03  8418.1
 2011 02  9917.3
 2011 01  5813·5
 2010 12 6913·1
 2010 11 1212·6
 2010 10 3514.1
 2010 09 8612.6
 2010 08 6312·8
 2010 07 9014.5
 2010 06 1716·6
 2010 05 5219.7
 2010 04 620·2
 2010 03 7420·3
 2010 02 3417.1
 2010 01 7514·1
 2009 12  4916.9
 2009 11  4617·8
 2009 10  9619·8
 2009 09  9818.3
 2009 08  6619·8
 2009 07  1220.2
 2009 06  4426·4
 2009 05  9125.8
 2009 04  5924.9
 2009 03  522·4
 2009 02  3819.4
 2009 01  4714.5
 2008 12 5215·1
 2008 11 8014·9
 2008 10 6817·5
 2008 09 8715·8
 2008 08 9717.5
 2008 07 2017.7
 2008 06 4615·7
 2008 05 5417·0
 2008 04 6822·7
 2008 03 3218·1
 2008 02 1014.8
 2008 01 1714.7
 2007 12  6614·9
 2007 11  4613·8
 2007 10  2311·0
 2007 09  7113·8
 2007 08  1615·3
 2007 07  1917·3
 2007 06  7318·5
 2007 05  3418·5
 2007 04  6923·0
 2007 03  3320·2
 2007 02  7312.8
 2007 01  5110·6
 2006 12 011.4
 2006 11 9512·3
 2006 10 6011·9
 2006 09 9112.6
 2006 08 913.6
 2006 07 3712.2
 2006 06 9817·4
 2006 05 4819·0
 2006 04 2323.1
 2006 03 1421.4
 2006 02 7418.3
 2006 01 4111·0
 2005 12  9012·2
 2005 11  915.7
 2005 10  211·7
 2005 09  1512·6
 2005 08  8717.4
 2005 07  2814.8
 2005 06  1914·1
 2005 05  3821.7
 2005 04  1422.4
 2005 03  319·6
 2005 02  8716.0
 2005 01  414.2
 2004 12 9714.1
 2004 11 9114·7
 2004 10 9613·5
 2004 09 3313·8
 2004 08 8513.2
 2004 07 7314.0
 2004 06 5814.9
 2004 05 6919·6
 2004 04 5520.9
 2004 03 5523·2
 2004 02 1020.4
 2004 01 8213.9
 2003 12  615.5
 2003 11  7015·9
 2003 10  1615·4
 2003 09  6416·4
 2003 08  6416·6
 2003 07  7417·8
 2003 06  6416·0
 2003 05  3518·8
 2003 04  7920·0
 2003 03  4920.0
 2003 02  6616·2
 2003 01  4015.2
 2002 12 2713·9
 2002 11 214.8
 2002 10 6017.6
 2002 09 4818.8
 2002 08 816.3
 2002 07 6318.4
 2002 06 1018.7
 2002 05 5222.6
 2002 04 4822.7
 2002 03 9021.6
 2002 02 218·3
 2002 01 7213·4
 2001 12  9715·9
 2001 11  6415.8
 2001 10  5115·9
 2001 09  5216.8
 2001 08  3015·9
 2001 07  9218.5
 2001 06  9314·7
 2001 05  6119.0
 2001 04  4819·4
 2001 03  618.5
 2001 02  9312.8
 2001 01  948.3
 2000 12 7510.1
 2000 11 6212.6
 2000 10 3714.3
 2000 09 699.9
 2000 08 6412·7
 2000 07 4210.1
 2000 06 3811·8
 2000 05 3014·2
 2000 04 8819·9
 2000 03 5217.3
 2000 02 3511.9
 2000 01 479·9
 1999 12  4813.3
 1999 11  2414·0
 1999 10  9012·2
 1999 09  1413.3
 1999 08  7011.3
 1999 07  1613.7
 1999 06  9218.9
 1999 05  5022·1
 1999 04  422.6
 1999 03  718·0
 1999 02  5212.9
 1999 01  9911·0
 1998 12 269·2
 1998 11 68·1
 1998 10 1010·0
 1998 09 3011.5
 1998 08 3513·6
 1998 07 4412·4
 1998 06 2719·0
 1998 05 3816·9
 1998 04 5815.7
 1998 03 7617·6
 1998 02 9316.5
 1998 01 4111·5
 1997 12  4411·3
 1997 11  8613·3
 1997 10  1913·2
 1997 09  8415·1
 1997 08  6913·5
 1997 07  7915.8
 1997 06  4316·4
 1997 05  3620·8
 1997 04  3422·5
 1997 03  8821·3
 1997 02  2915.4
 1997 01  9112·8
 1996 12 6313.4
 1996 11 6911·8
 1996 10 6417.4
 1996 09 6715·9
 1996 08 716·3
 1996 07 314·8
 1996 06 6219.7
 1996 05 1019.9
 1996 04 4220.1
 1996 03 9721.6
 1996 02 5916·9
 1996 01 8913.1
 1995 12  6811.2
 1995 11  8310.5
 1995 10  2012.9
 1995 09  9713·9
 1995 08  1117.6
 1995 07  1814.0
 1995 06  3218.5
 1995 05  5321·9
 1995 04  2022·5
 1995 03  8217·8
 1995 02  714·6
 1995 01  312·4
 1994 12 7114.8
 1994 11 8415.1
 1994 10 8417·5
 1994 09 1416.3
 1994 08 6512·0
 1994 07 5414·3
 1994 06 2617·1
 1994 05 8220.6
 1994 04 2620·8
 1994 03 4820.8
 1994 02 2016.0
 1994 01 2415·3
 1993 12  614·6
 1993 11  5015.4
 1993 10  8015·2
 1993 09  8616.2
 1993 08  8014·5
 1993 07  6516·2
 1993 06  4218·7
 1993 05  3722.8
 1993 04  4725.3
 1993 03  2522·4
 1993 02  7117.8
 1993 01  7016·9
 1992 12 3517.0
 1992 11 8614.3
 1992 10 5413·6
 1992 09 515·1
 1992 08 9215·0
 1992 07 3117.3
 1992 06 420·1
 1992 05 8620·9
 1992 04 9423·0
 1992 03 6522·9
 1992 02 5917.8
 1992 01 8216.7
 1991 12  4215·8
 1991 11  2115.0
 1991 10  8116·7
 1991 09  8718.6
 1991 08  6115·8
 1991 07  5520·1
 1991 06  5922.2
 1991 05  2122·4
 1991 04  123·7
 1991 03  4922·2
 1991 02  515·0
 1991 01  2713.2
 1990 12 3814·0
 1990 11 1012·9
 1990 10 5813.9
 1990 09 7412.9
 1990 08 7214·4
 1990 07 6814.6
 1990 06 8015.7
 1990 05 5817.1
 1990 04 2918.4
 1990 03 8116.7
 1990 02 6014.7
 1990 01 9613·2
 1989 12  5911·9
 1989 11  3111.4
 1989 10  911·7
 1989 09  3315.3
 1989 08  3715·5
 1989 07  2315·7
 1989 06  6615.2
 1989 05  3918·8
 1989 04  6419·0
 1989 03  9018.5
 1989 02  9413·7
 1989 01  711·8
 1988 12 6511.2
 1988 11 8914·2
 1988 10 8113·0
 1988 09 5615.1
 1988 08 9113.0
 1988 07 015·5
 1988 06 4017.7
 1988 05 3119·7
 1988 04 1723.2
 1988 03 3122·8
 1988 02 815·5
 1988 01 112.8
 1987 12  4312·3
 1987 11  1312.8
 1987 10  4813.3
 1987 09  6015·7
 1987 08  9413.6
 1987 07  315·7
 1987 06  4819·1
 1987 05  2720.7
 1987 04  2225·5
 1987 03  8320.7
 1987 02  2216·7
 1987 01  4613·4
 1986 12 112.7
 1986 11 5812·9
 1986 10 712.8
 1986 09 8615.4
 1986 08 3214.9
 1986 07 6215·4
 1986 06 6616·7
 1986 05 4120.2
 1986 04 4121·8
 1986 03 5021.7
 1986 02 8717·2
 1986 01 3214.6
 1985 12  7712.6
 1985 11  311·9
 1985 10  8214.9
 1985 09  113.2
 1985 08  1612.9
 1985 07  3014·2
 1985 06  9017·6
 1985 05  1820·3
 1985 04  5922.2
 1985 03  6120.5
 1985 02  7316.6
 1985 01  7712·8
 1984 12 3013·1
 1984 11 5310.8
 1984 10 2013.2
 1984 09 9713.6
 1984 08 8113.2
 1984 07 8712·6
 1984 06 4416·8
 1984 05 2221·0
 1984 04 8620.4
 1984 03 7120·5
 1984 02 8116·5
 1984 01 2213·4
 1983 12  4613·1
 1983 11  3513.5
 1983 10  9614·1
 1983 09  9013.0
 1983 08  8714.1
 1983 07  3715.9
 1983 06  7519·8
 1983 05  4623·0
 1983 04  5923·7
 1983 03  5822·6
 1983 02  3220.0
 1983 01  3418·5
 1982 12 3617·1
 1982 11 517·2
 1982 10 617·5
 1982 09 2316·9
 1982 08 2117.5
 1982 07 1015·8
 1982 06 5719.7
 1982 05 824·5
 1982 04 3726.5
 1982 03 2924.7
 1982 02 7617.7
 1982 01 613·7
 1981 12  3513·0
 1981 11  4311.2
 1981 10  7314·3
 1981 09  6314·2
 1981 08  9213.8
 1981 07  6014·3
 1981 06  8818.4
 1981 05  4720.6
 1981 04  624.9
 1981 03  1019.6
 1981 02  8415·7
 1981 01  5416.8
 1980 12 418.3
 1980 11 5218.1
 1980 10 4719.0
 1980 09 121·4
 1980 08 3616.7
 1980 07 6513.9
 1980 06 9117·1
 1980 05 3320·4
 1980 04 7724.9
 1980 03 5819·7
 1980 02 5415.2
 1980 01 1912·9
 1979 12  2814·0
 1979 11  6111·6
 1979 10  9912.8
 1979 09  5313·9
 1979 08  1414·8
 1979 07  3214.4
 1979 06  1417·3
 1979 05  5524·4
 1979 04  8624·2
 1979 03  5123·5
 1979 02  1115·3
 1979 01  6812.3
 1978 12 1812.7
 1978 11 2611.2
 1978 10 2914·9
 1978 09 6212·7
 1978 08 1210·7
 1978 07 8813·0
 1978 06 3017·3
 1978 05 3123·9
 1978 04 9227·4
 1978 03 9323.2
 1978 02 218.0
 1978 01 9413.3
 1977 12  915.1
 1977 11  2413.6
 1977 10  5814·1
 1977 09  9516.3
 1977 08  3913·8
 1977 07  8814·4
 1977 06  3616·9
 1977 05  320.0
 1977 04  8122.3
 1977 03  1422·3
 1977 02  016.0
 1977 01  1313.9
 1976 12 6214.0
 1976 11 6215·1
 1976 10 3615.0
 1976 09 4313.4
 1976 08 3214.7
 1976 07 1113.8
 1976 06 5715.2
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Similar Series

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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.
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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







      Example 3: Get Population Level Data for Workers





 Series Title: Percent of Total Job Losers 20 years and over, Men Unemployed 15-26 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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