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 Series Title: Percent of Total Job Losers 20 years and over, Men Unemployed 27 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 1445.3
 2012 03 3340.9
 2012 02 5537.6
 2012 01 9539.3
 2011 12  9441.8
 2011 11  9347·8
 2011 10  3547·4
 2011 09  9351·2
 2011 08  2246·2
 2011 07  3348·1
 2011 06  9748·1
 2011 05  7149·5
 2011 04  4846·0
 2011 03  3544·3
 2011 02  5540.4
 2011 01  7340·9
 2010 12 4743.5
 2010 11 447.7
 2010 10 4549·6
 2010 09 6849·5
 2010 08 1949.9
 2010 07 7349.1
 2010 06 3249·0
 2010 05 5050·3
 2010 04 9150·8
 2010 03 9942.9
 2010 02 241.2
 2010 01 3940·9
 2009 12  1240.4
 2009 11  6243.3
 2009 10  6840·1
 2009 09  7940.2
 2009 08  5937·2
 2009 07  7035·8
 2009 06  6929·3
 2009 05  3826·1
 2009 04  3026·8
 2009 03  5420·9
 2009 02  6818.2
 2009 01  1117·3
 2008 12 5319·4
 2008 11 7119·8
 2008 10 5221·7
 2008 09 1722·6
 2008 08 7620.9
 2008 07 218·5
 2008 06 3419·3
 2008 05 018·6
 2008 04 7619·6
 2008 03 5515·0
 2008 02 5215.8
 2008 01 3014.0
 2007 12  5315·3
 2007 11  6015.7
 2007 10  6917.5
 2007 09  019·7
 2007 08  3219.9
 2007 07  7517·2
 2007 06  7318.5
 2007 05  3017.9
 2007 04  6418.1
 2007 03  8115.5
 2007 02  7612·5
 2007 01  6310.7
 2006 12 2412.8
 2006 11 8416·5
 2006 10 1718.0
 2006 09 7020.3
 2006 08 1220·5
 2006 07 1720.0
 2006 06 5917.8
 2006 05 4321·0
 2006 04 5419·1
 2006 03 3616.7
 2006 02 8915·7
 2006 01 315·3
 2005 12  119·0
 2005 11  2220·4
 2005 10  2122.2
 2005 09  9319·4
 2005 08  2720.2
 2005 07  8319·5
 2005 06  9119.8
 2005 05  8220·1
 2005 04  3322·8
 2005 03  4918.4
 2005 02  6417.3
 2005 01  6518·6
 2004 12 4420·8
 2004 11 7822.1
 2004 10 2725·4
 2004 09 6022·8
 2004 08 1123.6
 2004 07 5123·4
 2004 06 9227·7
 2004 05 1327·1
 2004 04 1024·7
 2004 03 7522.8
 2004 02 9920.5
 2004 01 9120·9
 2003 12  4023·9
 2003 11  8227·3
 2003 10  927·4
 2003 09  9026.2
 2003 08  2725.0
 2003 07  2723.7
 2003 06  1025·6
 2003 05  2825·9
 2003 04  2126.6
 2003 03  9421.9
 2003 02  1622.3
 2003 01  4919.3
 2002 12 9824·3
 2002 11 8723.2
 2002 10 6423·5
 2002 09 2323·8
 2002 08 5819.9
 2002 07 4021.0
 2002 06 1821·6
 2002 05 4422.5
 2002 04 2718·4
 2002 03 815·1
 2002 02 6412.8
 2002 01 3014.3
 2001 12  5413·7
 2001 11  7412.5
 2001 10  1711.6
 2001 09  2710·5
 2001 08  1612·7
 2001 07  4410.7
 2001 06  1312.0
 2001 05  210.5
 2001 04  1311.7
 2001 03  499.4
 2001 02  168·9
 2001 01  518.4
 2000 12 709.6
 2000 11 469.6
 2000 10 1411.1
 2000 09 9214·0
 2000 08 3712·1
 2000 07 1712.5
 2000 06 1911·6
 2000 05 7012.5
 2000 04 9010.4
 2000 03 6910.9
 2000 02 7010.0
 2000 01 5410.7
 1999 12  2911.9
 1999 11  3311.8
 1999 10  299·7
 1999 09  3713.4
 1999 08  8015·2
 1999 07  6615·4
 1999 06  8514.4
 1999 05  3911.8
 1999 04  9310.1
 1999 03  499·0
 1999 02  498.7
 1999 01  59.1
 1998 12 4312·4
 1998 11 8912.8
 1998 10 6116·4
 1998 09 218·2
 1998 08 3216·4
 1998 07 1814.1
 1998 06 8213.5
 1998 05 2714.5
 1998 04 8316·2
 1998 03 9213.9
 1998 02 113.3
 1998 01 9613·4
 1997 12  4815.7
 1997 11  9318.2
 1997 10  3118.5
 1997 09  5619·9
 1997 08  219·3
 1997 07  2821.4
 1997 06  1016·8
 1997 05  7417.8
 1997 04  4617·5
 1997 03  2814·6
 1997 02  9913.7
 1997 01  4512.6
 1996 12 414.2
 1996 11 5016·1
 1996 10 8919·6
 1996 09 8820.3
 1996 08 2722.0
 1996 07 7521·7
 1996 06 9020.4
 1996 05 4718·1
 1996 04 9121·6
 1996 03 1116.6
 1996 02 4214.4
 1996 01 9213.0
 1995 12  9615·5
 1995 11  8817·2
 1995 10  620.6
 1995 09  1720·5
 1995 08  6817.7
 1995 07  6418.1
 1995 06  7218.7
 1995 05  4019.2
 1995 04  5620·3
 1995 03  2018.0
 1995 02  5115·8
 1995 01  516.4
 1994 12 3617.2
 1994 11 6319.3
 1994 10 8221·7
 1994 09 8324.3
 1994 08 825·1
 1994 07 2524.8
 1994 06 2824.9
 1994 05 6726.1
 1994 04 9925·2
 1994 03 6122.1
 1994 02 7620.1
 1994 01 7620.0
 1993 12  5826·3
 1993 11  5428·6
 1993 10  3926.6
 1993 09  5528·2
 1993 08  6029·8
 1993 07  1029.6
 1993 06  5629·4
 1993 05  7228·8
 1993 04  727.6
 1993 03  6123.9
 1993 02  8825·1
 1993 01  2125.8
 1992 12 2327·3
 1992 11 6428·1
 1992 10 2529·8
 1992 09 2331.6
 1992 08 5833·4
 1992 07 032·4
 1992 06 7930·2
 1992 05 2029·2
 1992 04 9027·3
 1992 03 7623.5
 1992 02 8820·8
 1992 01 8219.8
 1991 12  1620.4
 1991 11  2319.6
 1991 10  1419.9
 1991 09  421·0
 1991 08  6420·2
 1991 07  9919.6
 1991 06  4620·3
 1991 05  417·9
 1991 04  8317·4
 1991 03  8412.3
 1991 02  9612·7
 1991 01  2614.2
 1990 12 4912.7
 1990 11 8613·3
 1990 10 315·5
 1990 09 4018·5
 1990 08 6316.5
 1990 07 3615.2
 1990 06 2914·7
 1990 05 4015.2
 1990 04 4814.5
 1990 03 9012·4
 1990 02 6210.9
 1990 01 4512·0
 1989 12  5713·1
 1989 11  3114.9
 1989 10  1516.1
 1989 09  9916·3
 1989 08  6415.1
 1989 07  6515·5
 1989 06  2716.2
 1989 05  7116·8
 1989 04  7019·1
 1989 03  2414·7
 1989 02  5913.8
 1989 01  5516·0
 1988 12 016·4
 1988 11 6416·3
 1988 10 9919·4
 1988 09 7123·5
 1988 08 521·0
 1988 07 6721.7
 1988 06 6220·9
 1988 05 6222.7
 1988 04 5918.4
 1988 03 3915·3
 1988 02 8315.6
 1988 01 9814.8
 1987 12  6417·5
 1987 11  1219.6
 1987 10  2820·9
 1987 09  7325·1
 1987 08  4524.7
 1987 07  4423.1
 1987 06  8226.2
 1987 05  725·5
 1987 04  5122.1
 1987 03  1518·3
 1987 02  6017·4
 1987 01  4217·4
 1986 12 6019·9
 1986 11 3219·5
 1986 10 9922·9
 1986 09 4924·5
 1986 08 7022·6
 1986 07 2722.0
 1986 06 6124·0
 1986 05 2122·4
 1986 04 720·9
 1986 03 5618·1
 1986 02 3616.8
 1986 01 7716.7
 1985 12  2220.7
 1985 11  123·7
 1985 10  3523.1
 1985 09  6323.8
 1985 08  9025·2
 1985 07  6923.9
 1985 06  9724·4
 1985 05  4625·9
 1985 04  1223.8
 1985 03  9120.5
 1985 02  8520·5
 1985 01  2119.0
 1984 12 1220.9
 1984 11 2424·3
 1984 10 8526.3
 1984 09 827.8
 1984 08 4228.9
 1984 07 5028·8
 1984 06 1330.2
 1984 05 5032.3
 1984 04 7631.0
 1984 03 7528·4
 1984 02 426·9
 1984 01 1628·2
 1983 12  1531·3
 1983 11  3133.5
 1983 10  2234.5
 1983 09  137.3
 1983 08  8537·5
 1983 07  7537.8
 1983 06  5639·1
 1983 05  2336.2
 1983 04  3534.1
 1983 03  8730·8
 1983 02  1727.6
 1983 01  2826.6
 1982 12 4226.4
 1982 11 7624·1
 1982 10 4426.0
 1982 09 8325·6
 1982 08 525.2
 1982 07 7225.1
 1982 06 025·0
 1982 05 8422·6
 1982 04 5020·3
 1982 03 3216.3
 1982 02 7214·5
 1982 01 4913.0
 1981 12  2715·0
 1981 11  3717·1
 1981 10  7319·9
 1981 09  2221·4
 1981 08  1323.5
 1981 07  9621·3
 1981 06  4222·0
 1981 05  7323·9
 1981 04  622·3
 1981 03  3821·8
 1981 02  4120·8
 1981 01  9521.5
 1980 12 3321.0
 1980 11 2020.5
 1980 10 5922·3
 1980 09 918·7
 1980 08 4418·0
 1980 07 2617.3
 1980 06 713·6
 1980 05 5713·0
 1980 04 1413·0
 1980 03 6011.6
 1980 02 249.0
 1980 01 109.1
 1979 12  4310.6
 1979 11  5412.6
 1979 10  7313·0
 1979 09  6013.1
 1979 08  5814.6
 1979 07  6615·1
 1979 06  4116·6
 1979 05  2915·4
 1979 04  913.2
 1979 03  7711·4
 1979 02  429·1
 1979 01  588.6
 1978 12 7011.0
 1978 11 9314·9
 1978 10 1415·7
 1978 09 1917·6
 1978 08 4316·9
 1978 07 4619·3
 1978 06 1919.5
 1978 05 421.3
 1978 04 5217·9
 1978 03 9314·6
 1978 02 4511·5
 1978 01 3413.7
 1977 12  4818.3
 1977 11  1620.2
 1977 10  521.7
 1977 09  5122.2
 1977 08  722.6
 1977 07  2023·9
 1977 06  3726.9
 1977 05  2626.7
 1977 04  2825.6
 1977 03  3920.6
 1977 02  420·0
 1977 01  5221.2
 1976 12 3824.0
 1976 11 2724·1
 1976 10 9427·1
 1976 09 4827·5
 1976 08 8628.6
 1976 07 6829.5
 1976 06 2035.1
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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 27 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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