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 Series Title: Percent of Total Reentrants 20 years and over, Men Unemployed 5-14 Weeks: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 6419.1
 2012 03 6820·7
 2012 02 9320.5
 2012 01 3317·6
 2011 12  1121·4
 2011 11  4723.4
 2011 10  6824·2
 2011 09  2819·1
 2011 08  6121·6
 2011 07  6221·4
 2011 06  8222.4
 2011 05  5814.3
 2011 04  6615.4
 2011 03  9520.1
 2011 02  4720.8
 2011 01  6918·9
 2010 12 118.2
 2010 11 5120.6
 2010 10 121·4
 2010 09 3022·6
 2010 08 6627·5
 2010 07 6421·5
 2010 06 819·5
 2010 05 3412·1
 2010 04 8614·2
 2010 03 8919·9
 2010 02 5426.3
 2010 01 018.6
 2009 12  1120·5
 2009 11  818.5
 2009 10  5323·4
 2009 09  7422·1
 2009 08  1827·3
 2009 07  2825·6
 2009 06  4327.8
 2009 05  2418.6
 2009 04  724·5
 2009 03  8123.7
 2009 02  8627·3
 2009 01  4327·5
 2008 12 224.5
 2008 11 2327.0
 2008 10 7224·6
 2008 09 5229·0
 2008 08 5526.2
 2008 07 3531·6
 2008 06 1126·3
 2008 05 9520.7
 2008 04 4127.2
 2008 03 2527.4
 2008 02 4334.0
 2008 01 4029.5
 2007 12  6030.2
 2007 11  2426·4
 2007 10  3032·9
 2007 09  8125·1
 2007 08  3729.0
 2007 07  8832.9
 2007 06  6023.2
 2007 05  3925·1
 2007 04  2329·1
 2007 03  031.3
 2007 02  4633.3
 2007 01  5726·6
 2006 12 9431.4
 2006 11 6532·4
 2006 10 2637.9
 2006 09 323.9
 2006 08 4933·2
 2006 07 1732.4
 2006 06 6326.7
 2006 05 7320.6
 2006 04 1425.5
 2006 03 1026·8
 2006 02 4429.1
 2006 01 8625.5
 2005 12  4028.5
 2005 11  2727·5
 2005 10  8326·9
 2005 09  8425·3
 2005 08  233·8
 2005 07  7537·4
 2005 06  1828.2
 2005 05  3923.0
 2005 04  9925·6
 2005 03  8529·1
 2005 02  1029.8
 2005 01  4423·4
 2004 12 5925.5
 2004 11 1430.0
 2004 10 4923·3
 2004 09 1726.3
 2004 08 3135.3
 2004 07 4329.9
 2004 06 4725.4
 2004 05 319.8
 2004 04 9022·2
 2004 03 7930·5
 2004 02 4330·0
 2004 01 7221.1
 2003 12  3730.1
 2003 11  5430·8
 2003 10  9731.8
 2003 09  1725·7
 2003 08  9728·0
 2003 07  2530.0
 2003 06  024.0
 2003 05  5826·1
 2003 04  2028.2
 2003 03  7228.7
 2003 02  6434·8
 2003 01  3923·1
 2002 12 8335·1
 2002 11 328.1
 2002 10 2629.0
 2002 09 2830·7
 2002 08 8532·7
 2002 07 4931.0
 2002 06 4929.5
 2002 05 2023.2
 2002 04 5229·1
 2002 03 6727·2
 2002 02 2235·8
 2002 01 3430.1
 2001 12  3437·6
 2001 11  3830·4
 2001 10  5729·4
 2001 09  1527.0
 2001 08  631.1
 2001 07  7036·8
 2001 06  9228·7
 2001 05  3135.3
 2001 04  7034·5
 2001 03  9431·3
 2001 02  9026.1
 2001 01  7628·4
 2000 12 5032·5
 2000 11 6633·7
 2000 10 3930.9
 2000 09 7033·0
 2000 08 9632.1
 2000 07 6832·6
 2000 06 5225·8
 2000 05 5731·4
 2000 04 8534·1
 2000 03 729.2
 2000 02 6731·3
 2000 01 626·0
 1999 12  1627.4
 1999 11  1430·8
 1999 10  4631.9
 1999 09  1126·3
 1999 08  1529·4
 1999 07  4727.6
 1999 06  7826·8
 1999 05  9124.5
 1999 04  3327·0
 1999 03  8640.3
 1999 02  7531.3
 1999 01  9131·9
 1998 12 4424·7
 1998 11 3830.0
 1998 10 7525·7
 1998 09 7926.3
 1998 08 4930.7
 1998 07 3530.5
 1998 06 4122.2
 1998 05 5021·0
 1998 04 7328·8
 1998 03 3426·1
 1998 02 6231·5
 1998 01 2224·1
 1997 12  6825.1
 1997 11  1629·4
 1997 10  4932·1
 1997 09  4026.3
 1997 08  831.6
 1997 07  8830·8
 1997 06  4127.1
 1997 05  7423.1
 1997 04  9324.7
 1997 03  8238.2
 1997 02  132.4
 1997 01  1722.9
 1996 12 4927.5
 1996 11 5327·1
 1996 10 1728·4
 1996 09 8825.7
 1996 08 2729·0
 1996 07 8531·0
 1996 06 126.6
 1996 05 3119·9
 1996 04 226.2
 1996 03 8328.8
 1996 02 9139.6
 1996 01 1623.1
 1995 12  7428.5
 1995 11  7927·0
 1995 10  5125·2
 1995 09  3722.5
 1995 08  6833·7
 1995 07  2928·5
 1995 06  6728.2
 1995 05  1324·3
 1995 04  3521.5
 1995 03  1632·0
 1995 02  5431·1
 1995 01  8822.0
 1994 12 5130·0
 1994 11 4624·8
 1994 10 4926·0
 1994 09 3121.4
 1994 08 1632·0
 1994 07 5129.4
 1994 06 1426·4
 1994 05 3723.3
 1994 04 5420.5
 1994 03 8728·7
 1994 02 3934.4
 1994 01 2321·7
 1993 12  1727.1
 1993 11  3624·7
 1993 10  3524.4
 1993 09  3627.2
 1993 08  8134·0
 1993 07  430·1
 1993 06  4026.4
 1993 05  4323·3
 1993 04  4420.2
 1993 03  2431.8
 1993 02  1832.6
 1993 01  3925·9
 1992 12 3331.2
 1992 11 5231.8
 1992 10 5624·9
 1992 09 4432.6
 1992 08 9837.1
 1992 07 6934·7
 1992 06 6719·4
 1992 05 023.5
 1992 04 1533.7
 1992 03 8224.7
 1992 02 9036.9
 1992 01 7825·2
 1991 12  8434·7
 1991 11  2333·4
 1991 10  8628.7
 1991 09  7128·2
 1991 08  3031·3
 1991 07  4831.3
 1991 06  4427.4
 1991 05  9923·8
 1991 04  325.6
 1991 03  3935·7
 1991 02  7740·0
 1991 01  532·5
 1990 12 8036·0
 1990 11 334.8
 1990 10 2333·4
 1990 09 6031·9
 1990 08 6024.6
 1990 07 7142·9
 1990 06 4428·3
 1990 05 5628·3
 1990 04 6927.7
 1990 03 132·6
 1990 02 2836.9
 1990 01 1429.2
 1989 12  5731.5
 1989 11  7331.3
 1989 10  8930·8
 1989 09  7624.9
 1989 08  035·6
 1989 07  9430·5
 1989 06  6421.4
 1989 05  1426.2
 1989 04  9827.1
 1989 03  9630.0
 1989 02  1637.1
 1989 01  2025·6
 1988 12 7631.6
 1988 11 3527.8
 1988 10 3334.7
 1988 09 1327.3
 1988 08 8531·1
 1988 07 9433·9
 1988 06 2820·7
 1988 05 3920·7
 1988 04 025·6
 1988 03 7933·9
 1988 02 3834.1
 1988 01 6534·7
 1987 12  2227·6
 1987 11  2130.1
 1987 10  2729.2
 1987 09  8728.4
 1987 08  7630·2
 1987 07  7735·0
 1987 06  8321.7
 1987 05  2327·0
 1987 04  1232.1
 1987 03  2932·5
 1987 02  1837·2
 1987 01  1728.2
 1986 12 634.2
 1986 11 8331.5
 1986 10 7128·7
 1986 09 3929·2
 1986 08 5833.1
 1986 07 7128.3
 1986 06 425.8
 1986 05 8322·7
 1986 04 9331.2
 1986 03 5038.2
 1986 02 431·9
 1986 01 6827.4
 1985 12  6235.8
 1985 11  131·0
 1985 10  8627·3
 1985 09  3728·4
 1985 08  4130·7
 1985 07  3137.4
 1985 06  8728.2
 1985 05  6122.4
 1985 04  3030.4
 1985 03  7228.8
 1985 02  6930.2
 1985 01  3330·1
 1984 12 5328.2
 1984 11 8030·1
 1984 10 2230·3
 1984 09 7229·4
 1984 08 6235.5
 1984 07 3730.0
 1984 06 5621.0
 1984 05 2317.5
 1984 04 3230·3
 1984 03 4934·5
 1984 02 1137.6
 1984 01 5423.6
 1983 12  6327·1
 1983 11  4827.7
 1983 10  5030.9
 1983 09  6125.4
 1983 08  8130·7
 1983 07  9231.4
 1983 06  5923·2
 1983 05  6121·7
 1983 04  3525.7
 1983 03  6026.3
 1983 02  5327.5
 1983 01  029·3
 1982 12 331·7
 1982 11 6136.2
 1982 10 6928·9
 1982 09 4528.3
 1982 08 8339·2
 1982 07 2532.1
 1982 06 7028.5
 1982 05 9330.3
 1982 04 127·8
 1982 03 1036.5
 1982 02 4327.6
 1982 01 6023.9
 1981 12  833·3
 1981 11  9735·8
 1981 10  234.3
 1981 09  9330.2
 1981 08  7933·4
 1981 07  9233·2
 1981 06  8521.4
 1981 05  5926·9
 1981 04  1426·8
 1981 03  2829.4
 1981 02  5433.3
 1981 01  5329.1
 1980 12 3926·0
 1980 11 6029.4
 1980 10 9829·9
 1980 09 9425·1
 1980 08 437·0
 1980 07 7136·8
 1980 06 2827.0
 1980 05 2729.2
 1980 04 8529.3
 1980 03 6734·1
 1980 02 8436·0
 1980 01 2029·3
 1979 12  8238·1
 1979 11  8027·8
 1979 10  2827.1
 1979 09  6731·2
 1979 08  2027.5
 1979 07  6735·3
 1979 06  4822.0
 1979 05  8826.2
 1979 04  5028.9
 1979 03  939·9
 1979 02  5734.7
 1979 01  2732·2
 1978 12 4638.1
 1978 11 1232·8
 1978 10 9230.1
 1978 09 5325.4
 1978 08 1139·7
 1978 07 930.4
 1978 06 1725.4
 1978 05 6018.6
 1978 04 6826·0
 1978 03 5530.7
 1978 02 1935·9
 1978 01 6728.5
 1977 12  6937.6
 1977 11  3437·1
 1977 10  1233.3
 1977 09  1827·1
 1977 08  8834.6
 1977 07  5140·1
 1977 06  3321·8
 1977 05  8326·6
 1977 04  2626.3
 1977 03  3734·1
 1977 02  4535·3
 1977 01  5626·4
 1976 12 937.4
 1976 11 5133.1
 1976 10 3633.7
 1976 09 5529.3
 1976 08 8736·2
 1976 07 7243·5
 1976 06 1922·5
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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 Reentrants 20 years and over, Men Unemployed 5-14 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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