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 Series Title: Of Total Unemployed 20 years and over, Men, Percent who are Job Losers on Layoff: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 111.7
 2012 03 8214.0
 2012 02 1416.4
 2012 01 6218.3
 2011 12  1414·3
 2011 11  648·9
 2011 10  38.3
 2011 09  567·5
 2011 08  269·1
 2011 07  7510.1
 2011 06  248·5
 2011 05  798.8
 2011 04  8511·5
 2011 03  9714.5
 2011 02  9015·6
 2011 01  7716.5
 2010 12 6714·3
 2010 11 389.7
 2010 10 398.4
 2010 09 198·3
 2010 08 749.8
 2010 07 289.0
 2010 06 3410·4
 2010 05 9711·1
 2010 04 2911·5
 2010 03 2516·5
 2010 02 6316·8
 2010 01 3217.1
 2009 12  8414·4
 2009 11  911.2
 2009 10  3810·4
 2009 09  6810.8
 2009 08  1411.9
 2009 07  8813.9
 2009 06  9812.0
 2009 05  7312·4
 2009 04  1915.7
 2009 03  9318·9
 2009 02  520.5
 2009 01  4223.2
 2008 12 2520.5
 2008 11 8115·2
 2008 10 4713·2
 2008 09 9413.1
 2008 08 8213.0
 2008 07 3413·7
 2008 06 3814·0
 2008 05 7414.6
 2008 04 6620.3
 2008 03 5822.9
 2008 02 1422.5
 2008 01 5027.0
 2007 12  7619·4
 2007 11  8415·6
 2007 10  4014.4
 2007 09  1611.4
 2007 08  3912·7
 2007 07  7015·5
 2007 06  210.8
 2007 05  9213·8
 2007 04  418.7
 2007 03  9721.5
 2007 02  1526·8
 2007 01  2127.3
 2006 12 4823.7
 2006 11 7115·8
 2006 10 1412.4
 2006 09 7411·3
 2006 08 7012.1
 2006 07 2515.7
 2006 06 6513·7
 2006 05 4313·7
 2006 04 9515·3
 2006 03 1521·6
 2006 02 5322.4
 2006 01 4924.5
 2005 12  7520·2
 2005 11  2213·5
 2005 10  9413.0
 2005 09  3512·7
 2005 08  8512·0
 2005 07  5414·7
 2005 06  2312·7
 2005 05  7012.2
 2005 04  2514·0
 2005 03  4221·4
 2005 02  421·7
 2005 01  4923·1
 2004 12 2019.0
 2004 11 4212.8
 2004 10 2510.5
 2004 09 9110·3
 2004 08 2012·6
 2004 07 3615·1
 2004 06 9912.2
 2004 05 3912.3
 2004 04 216.0
 2004 03 3120·4
 2004 02 6424·2
 2004 01 6423·0
 2003 12  6617.7
 2003 11  5912.9
 2003 10  8311·8
 2003 09  5811·2
 2003 08  3612.8
 2003 07  7514.5
 2003 06  4313.1
 2003 05  4213.1
 2003 04  6416·7
 2003 03  6321.4
 2003 02  5822.7
 2003 01  6024·1
 2002 12 2518·9
 2002 11 2815·1
 2002 10 6412.3
 2002 09 8012.4
 2002 08 1916.0
 2002 07 117·0
 2002 06 2613·5
 2002 05 9715·0
 2002 04 7118.8
 2002 03 4121.6
 2002 02 3124·3
 2002 01 2926·7
 2001 12  3219.8
 2001 11  2817·1
 2001 10  9314·3
 2001 09  2215.1
 2001 08  7816·6
 2001 07  6818.1
 2001 06  4814.5
 2001 05  4318·7
 2001 04  822·9
 2001 03  9426.3
 2001 02  5928.8
 2001 01  8833.2
 2000 12 4828·2
 2000 11 6319·7
 2000 10 1615.2
 2000 09 7615.4
 2000 08 4917.3
 2000 07 5518.0
 2000 06 3016.8
 2000 05 5016·1
 2000 04 8618.2
 2000 03 7824·9
 2000 02 3926.2
 2000 01 7926·2
 1999 12  5821·1
 1999 11  6318.8
 1999 10  714.1
 1999 09  5914·2
 1999 08  9315.0
 1999 07  6716·6
 1999 06  2113.3
 1999 05  714·2
 1999 04  4020·2
 1999 03  7126.8
 1999 02  9426·4
 1999 01  6928·2
 1998 12 7423·1
 1998 11 8218·3
 1998 10 6413.4
 1998 09 1313·3
 1998 08 9513.6
 1998 07 3217·2
 1998 06 9412.5
 1998 05 3314·6
 1998 04 3116·5
 1998 03 7725.6
 1998 02 7224·5
 1998 01 4825.8
 1997 12  2924·3
 1997 11  015·1
 1997 10  1015.5
 1997 09  412.9
 1997 08  6713.2
 1997 07  515·0
 1997 06  4714·4
 1997 05  6817·3
 1997 04  4421.9
 1997 03  2725.5
 1997 02  4626.5
 1997 01  3526.3
 1996 12 8620.3
 1996 11 2017·9
 1996 10 9313·9
 1996 09 2514·4
 1996 08 4313.0
 1996 07 6615.0
 1996 06 315.8
 1996 05 8016·2
 1996 04 9021·4
 1996 03 7324.1
 1996 02 1427.6
 1996 01 7128·1
 1995 12  2921·4
 1995 11  7217·9
 1995 10  8714.0
 1995 09  9212·6
 1995 08  8413·5
 1995 07  1916.1
 1995 06  1113.3
 1995 05  6114.9
 1995 04  520·4
 1995 03  9623·0
 1995 02  9926.5
 1995 01  2324.7
 1994 12 6920.9
 1994 11 1014·9
 1994 10 8811·1
 1994 09 4610.7
 1994 08 7512.9
 1994 07 9213·6
 1994 06 4312.6
 1994 05 2611·4
 1994 04 4915·1
 1994 03 9919.3
 1994 02 4922·3
 1994 01 8220.9
 1993 12  4219.6
 1993 11  1314·5
 1993 10  2115·6
 1993 09  5613.4
 1993 08  2815·6
 1993 07  4115·0
 1993 06  9614.7
 1993 05  1914·4
 1993 04  815.0
 1993 03  1320·7
 1993 02  3820.6
 1993 01  6519·2
 1992 12 719·7
 1992 11 8717·0
 1992 10 3315.3
 1992 09 1215·3
 1992 08 7714·3
 1992 07 4414.9
 1992 06 9615.5
 1992 05 614·2
 1992 04 9218.2
 1992 03 9121.7
 1992 02 6323.4
 1992 01 1424.4
 1991 12  5221.8
 1991 11  5918.9
 1991 10  9816.3
 1991 09  3213·2
 1991 08  8316·4
 1991 07  615.4
 1991 06  8816.7
 1991 05  7817·7
 1991 04  3620.4
 1991 03  1326.2
 1991 02  4728·9
 1991 01  9627·8
 1990 12 8624·4
 1990 11 8522·0
 1990 10 1216·9
 1990 09 5717·6
 1990 08 3314.7
 1990 07 5615.5
 1990 06 4715·6
 1990 05 5218.3
 1990 04 219·3
 1990 03 8223·9
 1990 02 3924.8
 1990 01 327.9
 1989 12  4422·9
 1989 11  4418.7
 1989 10  114.0
 1989 09  5314.0
 1989 08  3516.2
 1989 07  4915.2
 1989 06  7015.4
 1989 05  7116·1
 1989 04  7517·7
 1989 03  2922.1
 1989 02  1121·8
 1989 01  5222.6
 1988 12 8819.9
 1988 11 4015·6
 1988 10 1016·8
 1988 09 1414.0
 1988 08 2615.1
 1988 07 6416.3
 1988 06 8115·0
 1988 05 114·1
 1988 04 6516.8
 1988 03 723·2
 1988 02 6223.6
 1988 01 8323·6
 1987 12  319.2
 1987 11  218.3
 1987 10  1417.2
 1987 09  5515·5
 1987 08  6714·5
 1987 07  416·1
 1987 06  2814·3
 1987 05  3415·2
 1987 04  716·5
 1987 03  9621.1
 1987 02  1421.7
 1987 01  6524·4
 1986 12 9920·9
 1986 11 8417.4
 1986 10 1116.4
 1986 09 1815.4
 1986 08 4315·4
 1986 07 016·2
 1986 06 8215.5
 1986 05 8617·3
 1986 04 6417·4
 1986 03 121.9
 1986 02 1623·3
 1986 01 8925.3
 1985 12  1221·7
 1985 11  6719.2
 1985 10  2415.3
 1985 09  7017.3
 1985 08  6417.9
 1985 07  616·3
 1985 06  4415.6
 1985 05  015·5
 1985 04  1919.4
 1985 03  4921·4
 1985 02  4024·6
 1985 01  7123·3
 1984 12 319.2
 1984 11 5316·8
 1984 10 016·8
 1984 09 415·2
 1984 08 6617.0
 1984 07 015·8
 1984 06 3516.3
 1984 05 4217·6
 1984 04 8417·7
 1984 03 9722.6
 1984 02 8524·2
 1984 01 5422.1
 1983 12  5719.9
 1983 11  7418.2
 1983 10  1216·0
 1983 09  3517·9
 1983 08  1019.4
 1983 07  8820.1
 1983 06  420·0
 1983 05  422·0
 1983 04  9423.8
 1983 03  2227.3
 1983 02  7428.5
 1983 01  430.7
 1982 12 8428.9
 1982 11 8127·5
 1982 10 6024.7
 1982 09 626.9
 1982 08 8126·1
 1982 07 9826.2
 1982 06 2424.5
 1982 05 224.1
 1982 04 1025·5
 1982 03 3029·1
 1982 02 5530·8
 1982 01 1333.5
 1981 12  2129·5
 1981 11  5625.0
 1981 10  6521.2
 1981 09  8320·7
 1981 08  9021·3
 1981 07  8622.5
 1981 06  9220·4
 1981 05  8022·1
 1981 04  1724·0
 1981 03  4927.7
 1981 02  029.8
 1981 01  9828·0
 1980 12 2725.7
 1980 11 322.8
 1980 10 7623.2
 1980 09 5825·0
 1980 08 7127·8
 1980 07 2930.3
 1980 06 3328.0
 1980 05 229.2
 1980 04 2529.6
 1980 03 3429·3
 1980 02 832·5
 1980 01 131.6
 1979 12  8824.5
 1979 11  5023·5
 1979 10  6616.9
 1979 09  4815·1
 1979 08  8721.3
 1979 07  3317.6
 1979 06  9314·0
 1979 05  6214.1
 1979 04  7121·5
 1979 03  6423·1
 1979 02  325·2
 1979 01  8824.2
 1978 12 1617.8
 1978 11 5216·6
 1978 10 3311·5
 1978 09 9513.0
 1978 08 2215·6
 1978 07 2614.3
 1978 06 4612.6
 1978 05 7614.1
 1978 04 1515·1
 1978 03 4421.2
 1978 02 3122·4
 1978 01 5123.0
 1977 12  4417·9
 1977 11  8814·7
 1977 10  014·6
 1977 09  6513.1
 1977 08  8715.9
 1977 07  6416·3
 1977 06  9113.1
 1977 05  8613·8
 1977 04  4218·1
 1977 03  322.0
 1977 02  6625.3
 1977 01  820.9
 1976 12 3520·9
 1976 11 6317.5
 1976 10 1514·7
 1976 09 5017.0
 1976 08 1717.1
 1976 07 2417.9
 1976 06 4916·2
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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

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      Example 2: Get Employment Data for Workers in the "Retail Trade" Industry







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 Series Title: Of Total Unemployed 20 years and over, Men, Percent who are Job Losers on Layoff: 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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