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 Series Title: Percent of Total Reentrants 20 years and over, Men Unemployed 15 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 04 367·1
 2012 03 4167·0
 2012 02 1364·2
 2012 01 3565.7
 2011 12  4765·5
 2011 11  9062·8
 2011 10  762.3
 2011 09  7264·2
 2011 08  3963.6
 2011 07  1964·9
 2011 06  8456·0
 2011 05  8966.2
 2011 04  2972.7
 2011 03  1072.5
 2011 02  5665.2
 2011 01  3068·0
 2010 12 9268.1
 2010 11 6966·9
 2010 10 6067·5
 2010 09 6460.8
 2010 08 2956·3
 2010 07 2760·7
 2010 06 6061.9
 2010 05 8669·1
 2010 04 6471.7
 2010 03 4170.1
 2010 02 4563.0
 2010 01 1459.5
 2009 12  5067·9
 2009 11  9467·2
 2009 10  2562·2
 2009 09  9261·7
 2009 08  6057·4
 2009 07  9158.6
 2009 06  4052·2
 2009 05  9059.0
 2009 04  9661.8
 2009 03  6458·0
 2009 02  5356·7
 2009 01  350.0
 2008 12 8254·2
 2008 11 7052·8
 2008 10 5153·8
 2008 09 4844·1
 2008 08 7049·4
 2008 07 9042.4
 2008 06 4745·8
 2008 05 7047·1
 2008 04 3453.3
 2008 03 3250·5
 2008 02 7939.5
 2008 01 3944·0
 2007 12  7541·6
 2007 11  2648.0
 2007 10  1044.1
 2007 09  4840.9
 2007 08  1847·0
 2007 07  3043.9
 2007 06  2841·2
 2007 05  1740·8
 2007 04  1448.3
 2007 03  2550·1
 2007 02  4642.9
 2007 01  9042.3
 2006 12 3844.7
 2006 11 1743·4
 2006 10 133.4
 2006 09 3542.5
 2006 08 9042·4
 2006 07 3936·8
 2006 06 5738.9
 2006 05 4742.4
 2006 04 9651·7
 2006 03 4748.8
 2006 02 145·9
 2006 01 4644.5
 2005 12  747·1
 2005 11  2243·9
 2005 10  4645.3
 2005 09  7546·0
 2005 08  9745·0
 2005 07  7239·7
 2005 06  3135.6
 2005 05  345.4
 2005 04  6748·5
 2005 03  2854·1
 2005 02  1846·5
 2005 01  2543.2
 2004 12 4346·8
 2004 11 4648.2
 2004 10 9546.8
 2004 09 6046.6
 2004 08 7437.9
 2004 07 844·0
 2004 06 7442.9
 2004 05 5147.5
 2004 04 3651.1
 2004 03 2147·5
 2004 02 9548·0
 2004 01 6945·9
 2003 12  3046·8
 2003 11  1743.0
 2003 10  1944.6
 2003 09  747.1
 2003 08  8147.6
 2003 07  5148.9
 2003 06  3444·4
 2003 05  8440·9
 2003 04  4047·0
 2003 03  748·7
 2003 02  5439.7
 2003 01  4441·5
 2002 12 8143.8
 2002 11 8940·6
 2002 10 1742·8
 2002 09 5735.6
 2002 08 535·8
 2002 07 3138.1
 2002 06 8438·3
 2002 05 1736.0
 2002 04 3847.6
 2002 03 8839.0
 2002 02 4536.6
 2002 01 4242.1
 2001 12  2937.9
 2001 11  4339·7
 2001 10  1135·8
 2001 09  7834.0
 2001 08  5534·4
 2001 07  235.0
 2001 06  2231.0
 2001 05  9232·1
 2001 04  1631·0
 2001 03  9630.4
 2001 02  3937·0
 2001 01  8033·9
 2000 12 3739.5
 2000 11 8230·9
 2000 10 5128.4
 2000 09 6129·5
 2000 08 6834.1
 2000 07 4336.9
 2000 06 7027·1
 2000 05 7733.9
 2000 04 8534·8
 2000 03 8440.2
 2000 02 3534.9
 2000 01 033·0
 1999 12  8837.5
 1999 11  3637.2
 1999 10  842·7
 1999 09  2240·8
 1999 08  338.6
 1999 07  5839.2
 1999 06  7838·5
 1999 05  6434·6
 1999 04  8038.5
 1999 03  3034.4
 1999 02  5636.3
 1999 01  6831·4
 1998 12 9539.4
 1998 11 5945.6
 1998 10 8240.0
 1998 09 535·8
 1998 08 4734·6
 1998 07 7738·2
 1998 06 1736·8
 1998 05 6837·8
 1998 04 6339.7
 1998 03 4140·8
 1998 02 5037·4
 1998 01 7736.4
 1997 12  9251.7
 1997 11  3137.1
 1997 10  9439·7
 1997 09  7542·0
 1997 08  1043.5
 1997 07  5544.5
 1997 06  8737.6
 1997 05  3347.0
 1997 04  1852·0
 1997 03  4439.8
 1997 02  9142·0
 1997 01  4344.3
 1996 12 4048·2
 1996 11 5548.4
 1996 10 9446.9
 1996 09 2546·3
 1996 08 2740.9
 1996 07 6939·6
 1996 06 1041·3
 1996 05 2445.0
 1996 04 5552.1
 1996 03 9448·5
 1996 02 7537.3
 1996 01 742.0
 1995 12  2443.7
 1995 11  6150.4
 1995 10  5449·8
 1995 09  7144·4
 1995 08  6042.3
 1995 07  2647.8
 1995 06  3338.1
 1995 05  3347.1
 1995 04  1257.0
 1995 03  7147·7
 1995 02  2750.2
 1995 01  3843·3
 1994 12 5649.6
 1994 11 347.4
 1994 10 7250·0
 1994 09 5550·7
 1994 08 9346.1
 1994 07 5347.0
 1994 06 3140.1
 1994 05 7846.4
 1994 04 4755·1
 1994 03 7848·7
 1994 02 9445.0
 1994 01 2642.3
 1993 12  7039.3
 1993 11  6040.2
 1993 10  7139.9
 1993 09  4335·4
 1993 08  3729.7
 1993 07  632.8
 1993 06  225·2
 1993 05  9933.6
 1993 04  4744·6
 1993 03  4637.3
 1993 02  4935·9
 1993 01  8832·7
 1992 12 2738·5
 1992 11 3832.5
 1992 10 9936·9
 1992 09 2831·4
 1992 08 2728·6
 1992 07 6331·8
 1992 06 6735.2
 1992 05 6533·4
 1992 04 2231·8
 1992 03 2838.5
 1992 02 9034·2
 1992 01 6632.6
 1991 12  1330.0
 1991 11  6428·2
 1991 10  3031.3
 1991 09  2723.4
 1991 08  2524.2
 1991 07  2923.6
 1991 06  7626.7
 1991 05  6631.1
 1991 04  837·5
 1991 03  331.6
 1991 02  4129.3
 1991 01  2721·1
 1990 12 3825·2
 1990 11 9429·5
 1990 10 6126.4
 1990 09 8028·5
 1990 08 1629.2
 1990 07 3323·0
 1990 06 223.2
 1990 05 1926.1
 1990 04 6530·2
 1990 03 7731·9
 1990 02 4925·4
 1990 01 6322·8
 1989 12  3822·2
 1989 11  725.9
 1989 10  1626·3
 1989 09  5625.3
 1989 08  1022·7
 1989 07  3028.1
 1989 06  4122·2
 1989 05  6723·4
 1989 04  7927.6
 1989 03  7722.8
 1989 02  8721·2
 1989 01  9022·1
 1988 12 7432·2
 1988 11 620·7
 1988 10 4223·9
 1988 09 4526·0
 1988 08 4224·4
 1988 07 9827.3
 1988 06 1927·2
 1988 05 7626·6
 1988 04 6132.0
 1988 03 6028.5
 1988 02 5428.8
 1988 01 5128·8
 1987 12  3027.7
 1987 11  2224.5
 1987 10  1326·4
 1987 09  6524.5
 1987 08  7424.2
 1987 07  4325·5
 1987 06  8127.7
 1987 05  3729·8
 1987 04  4528·6
 1987 03  332.3
 1987 02  7325·9
 1987 01  1227·8
 1986 12 1731.1
 1986 11 934·0
 1986 10 2629·2
 1986 09 5724.7
 1986 08 9226.9
 1986 07 9228·5
 1986 06 328.7
 1986 05 6928·8
 1986 04 9328·7
 1986 03 1127.3
 1986 02 9131.2
 1986 01 6430.1
 1985 12  7230·1
 1985 11  4529.4
 1985 10  529.1
 1985 09  8929.1
 1985 08  432.5
 1985 07  225.6
 1985 06  8123.6
 1985 05  1132.8
 1985 04  9039.2
 1985 03  1337.5
 1985 02  8231.7
 1985 01  2626·8
 1984 12 5432·9
 1984 11 3635.8
 1984 10 9728·5
 1984 09 5126·7
 1984 08 4824.9
 1984 07 5028·5
 1984 06 3826·8
 1984 05 3235.0
 1984 04 4632·1
 1984 03 6533·5
 1984 02 4426.9
 1984 01 3735·9
 1983 12  4936·1
 1983 11  1035·4
 1983 10  7634·0
 1983 09  6131·3
 1983 08  8335.8
 1983 07  4235·6
 1983 06  2429.5
 1983 05  2341·1
 1983 04  9738.0
 1983 03  4442.9
 1983 02  9938·8
 1983 01  6633·7
 1982 12 6840.3
 1982 11 2133.9
 1982 10 4032·1
 1982 09 6131·0
 1982 08 9529.8
 1982 07 628·1
 1982 06 1027.7
 1982 05 029·8
 1982 04 436.6
 1982 03 5530.5
 1982 02 9634.7
 1982 01 429.4
 1981 12  4626.0
 1981 11  5024.1
 1981 10  1223·5
 1981 09  1723.4
 1981 08  9524·8
 1981 07  9727·1
 1981 06  9525·3
 1981 05  729.5
 1981 04  5336.6
 1981 03  2935·8
 1981 02  829·2
 1981 01  6827·2
 1980 12 4432.8
 1980 11 028·0
 1980 10 3930.0
 1980 09 2127·4
 1980 08 1823.9
 1980 07 9520·3
 1980 06 120·0
 1980 05 823.7
 1980 04 5329·4
 1980 03 1826.4
 1980 02 3323.0
 1980 01 020·0
 1979 12  4723·6
 1979 11  127·3
 1979 10  9521·8
 1979 09  9017·3
 1979 08  2522·4
 1979 07  217.8
 1979 06  7819·2
 1979 05  9726·5
 1979 04  4030·0
 1979 03  226.7
 1979 02  9326·5
 1979 01  6622.7
 1978 12 6519.7
 1978 11 722·1
 1978 10 7925·0
 1978 09 6527.3
 1978 08 223·0
 1978 07 5027·6
 1978 06 9824.9
 1978 05 9028·7
 1978 04 7533.6
 1978 03 8633.3
 1978 02 3828·5
 1978 01 5828·3
 1977 12  3522.4
 1977 11  9726.5
 1977 10  1224.7
 1977 09  1531.7
 1977 08  5828·9
 1977 07  9128.6
 1977 06  5827·2
 1977 05  2830.2
 1977 04  4434.0
 1977 03  9833·9
 1977 02  3930·6
 1977 01  9331·8
 1976 12 1730·0
 1976 11 7629.2
 1976 10 4330·8
 1976 09 2932.1
 1976 08 3031.8
 1976 07 624.9
 1976 06 8323·0
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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 Reentrants 20 years and over, Men Unemployed 15 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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