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 Series Title: Number Unemployed for 27-51 Weeks 25-34 years, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 13241.
 2012 03 69230·
 2012 02 56191.
 2012 01 76214.
 2011 12  58227·
 2011 11  29211·
 2011 10  20253.
 2011 09  93240·
 2011 08  89164·
 2011 07  6186·
 2011 06  4201·
 2011 05  27233.
 2011 04  55264.
 2011 03  83239·
 2011 02  21212·
 2011 01  22235.
 2010 12 31208·
 2010 11 64214·
 2010 10 8185.
 2010 09 48260·
 2010 08 20254.
 2010 07 83287·
 2010 06 29309·
 2010 05 99337·
 2010 04 44310.
 2010 03 96389.
 2010 02 70388·
 2010 01 94383·
 2009 12  56376.
 2009 11  84411·
 2009 10  46359.
 2009 09  77386·
 2009 08  30416·
 2009 07  54410·
 2009 06  94294·
 2009 05  17223.
 2009 04  67261.
 2009 03  38175.
 2009 02  77170.
 2009 01  9160.
 2008 12 93174.
 2008 11 93147.
 2008 10 82137·
 2008 09 71128·
 2008 08 57113·
 2008 07 99102·
 2008 06 23128·
 2008 05 4891·
 2008 04 3576.
 2008 03 6457.
 2008 02 3861·
 2008 01 986.
 2007 12  2770.
 2007 11  1969·
 2007 10  8943.
 2007 09  4876.
 2007 08  5945.
 2007 07  2144·
 2007 06  6570.
 2007 05  8390·
 2007 04  8187.
 2007 03  5164.
 2007 02  7877.
 2007 01  6054·
 2006 12 6960·
 2006 11 1774·
 2006 10 6549.
 2006 09 4840·
 2006 08 2351.
 2006 07 5064.
 2006 06 9155.
 2006 05 4064.
 2006 04 6876·
 2006 03 659·
 2006 02 4373·
 2006 01 5555·
 2005 12  5562.
 2005 11  6736.
 2005 10  3453.
 2005 09  3963·
 2005 08  5842·
 2005 07  4051·
 2005 06  167·
 2005 05  5971·
 2005 04  8090·
 2005 03  5679·
 2005 02  854.
 2005 01  1179.
 2004 12 4475·
 2004 11 7266.
 2004 10 4268.
 2004 09 1291·
 2004 08 280·
 2004 07 7081·
 2004 06 1767.
 2004 05 891.
 2004 04 2888·
 2004 03 57132·
 2004 02 7085·
 2004 01 68127·
 2003 12  24117.
 2003 11  63127.
 2003 10  64126·
 2003 09  8589·
 2003 08  13116.
 2003 07  46109.
 2003 06  87122.
 2003 05  7992.
 2003 04  48114.
 2003 03  8785.
 2003 02  5399·
 2003 01  94134·
 2002 12 3121·
 2002 11 93110.
 2002 10 97128·
 2002 09 9999.
 2002 08 7990.
 2002 07 9597.
 2002 06 85115·
 2002 05 8880.
 2002 04 0120·
 2002 03 51114·
 2002 02 3105.
 2002 01 80118·
 2001 12  1868·
 2001 11  4259.
 2001 10  6535.
 2001 09  2048.
 2001 08  834.
 2001 07  7318·
 2001 06  825.
 2001 05  7717·
 2001 04  7040·
 2001 03  7828·
 2001 02  9530·
 2001 01  4433.
 2000 12 3039·
 2000 11 1317.
 2000 10 1523·
 2000 09 4224.
 2000 08 3724.
 2000 07 5931.
 2000 06 7923.
 2000 05 1322.
 2000 04 6820.
 2000 03 2320.
 2000 02 2744.
 2000 01 2840.
 1999 12  2344·
 1999 11  3735.
 1999 10  2036.
 1999 09  8027·
 1999 08  2743·
 1999 07  5737.
 1999 06  4732.
 1999 05  8837.
 1999 04  3037·
 1999 03  6537.
 1999 02  2140·
 1999 01  9728·
 1998 12 944.
 1998 11 6737.
 1998 10 7926.
 1998 09 7655.
 1998 08 6241.
 1998 07 9634.
 1998 06 8552.
 1998 05 1934·
 1998 04 1751·
 1998 03 756.
 1998 02 2644·
 1998 01 4448·
 1997 12  2249·
 1997 11  8332.
 1997 10  1549·
 1997 09  9744·
 1997 08  5463.
 1997 07  3094·
 1997 06  9072·
 1997 05  4656·
 1997 04  1367.
 1997 03  8078.
 1997 02  1446·
 1997 01  8667.
 1996 12 2459·
 1996 11 8953·
 1996 10 7565.
 1996 09 3572·
 1996 08 3867·
 1996 07 4098.
 1996 06 8556·
 1996 05 3858·
 1996 04 3088.
 1996 03 3866·
 1996 02 8358·
 1996 01 64114.
 1995 12  070·
 1995 11  1565.
 1995 10  3267·
 1995 09  777·
 1995 08  7569·
 1995 07  2894·
 1995 06  1986·
 1995 05  8683·
 1995 04  372·
 1995 03  5961·
 1995 02  5870.
 1995 01  4598·
 1994 12 6179.
 1994 11 1498.
 1994 10 8685·
 1994 09 5468.
 1994 08 4979.
 1994 07 2597.
 1994 06 6591·
 1994 05 784.
 1994 04 93128.
 1994 03 49133.
 1994 02 85107.
 1994 01 2293.
 1993 12  42134.
 1993 11  66121.
 1993 10  58117.
 1993 09  44124·
 1993 08  72121.
 1993 07  85161.
 1993 06  21125.
 1993 05  42135·
 1993 04  84133.
 1993 03  36138·
 1993 02  38169.
 1993 01  10121.
 1992 12 3123·
 1992 11 76131.
 1992 10 96156.
 1992 09 67202.
 1992 08 79188.
 1992 07 87196.
 1992 06 9188·
 1992 05 58177·
 1992 04 89158.
 1992 03 75139·
 1992 02 15146·
 1992 01 52141.
 1991 12  31108.
 1991 11  7298·
 1991 10  7585·
 1991 09  42119·
 1991 08  31125.
 1991 07  35136.
 1991 06  79145·
 1991 05  48101.
 1991 04  4194·
 1991 03  4588·
 1991 02  3865.
 1991 01  1463.
 1990 12 3548.
 1990 11 959·
 1990 10 9240.
 1990 09 968·
 1990 08 1464.
 1990 07 5947·
 1990 06 252.
 1990 05 2749·
 1990 04 255·
 1990 03 5169.
 1990 02 5761·
 1990 01 8859.
 1989 12  5244·
 1989 11  6751·
 1989 10  6967.
 1989 09  3543·
 1989 08  3749.
 1989 07  1366.
 1989 06  7747.
 1989 05  3941·
 1989 04  5852.
 1989 03  2150.
 1989 02  4360·
 1989 01  9162.
 1988 12 4170·
 1988 11 4952.
 1988 10 5549·
 1988 09 1353·
 1988 08 3667.
 1988 07 7668.
 1988 06 2779·
 1988 05 4895·
 1988 04 1863·
 1988 03 1172.
 1988 02 9656·
 1988 01 6656.
 1987 12  8957.
 1987 11  8449·
 1987 10  2463.
 1987 09  5979·
 1987 08  7293·
 1987 07  5392.
 1987 06  0121·
 1987 05  4890·
 1987 04  1985·
 1987 03  9999·
 1987 02  37101·
 1987 01  7797.
 1986 12 594·
 1986 11 2878.
 1986 10 7294·
 1986 09 1584.
 1986 08 3198·
 1986 07 7292·
 1986 06 69108·
 1986 05 5692.
 1986 04 2191.
 1986 03 8981.
 1986 02 1693.
 1986 01 1874.
 1985 12  2785.
 1985 11  5974·
 1985 10  2482.
 1985 09  4787·
 1985 08  23127·
 1985 07  8989·
 1985 06  3382·
 1985 05  12101·
 1985 04  10131.
 1985 03  1194.
 1985 02  4111·
 1985 01  562.
 1984 12 1354.
 1984 11 8262·
 1984 10 2779.
 1984 09 4888.
 1984 08 83115.
 1984 07 82111·
 1984 06 13111.
 1984 05 83130·
 1984 04 95143·
 1984 03 20146·
 1984 02 1116.
 1984 01 81123·
 1983 12  50159.
 1983 11  25137·
 1983 10  54144·
 1983 09  34181.
 1983 08  72242·
 1983 07  56276.
 1983 06  59294·
 1983 05  63298·
 1983 04  13309.
 1983 03  94353·
 1983 02  29298.
 1983 01  11247.
 1982 12 47231.
 1982 11 45214·
 1982 10 3174.
 1982 09 47196.
 1982 08 76255·
 1982 07 40267.
 1982 06 43279.
 1982 05 66203·
 1982 04 24211.
 1982 03 38133.
 1982 02 37128·
 1982 01 8790·
 1981 12  4295.
 1981 11  1897·
 1981 10  9779·
 1981 09  54102·
 1981 08  5134·
 1981 07  89113·
 1981 06  6398.
 1981 05  36153·
 1981 04  14126·
 1981 03  80129·
 1981 02  96148·
 1981 01  27161·
 1980 12 94125.
 1980 11 51125·
 1980 10 85116·
 1980 09 46104.
 1980 08 95133.
 1980 07 80145·
 1980 06 43109·
 1980 05 3885.
 1980 04 9372·
 1980 03 7756·
 1980 02 645.
 1980 01 7250·
 1979 12  8840.
 1979 11  7151.
 1979 10  3947·
 1979 09  4137.
 1979 08  644·
 1979 07  2045·
 1979 06  3051.
 1979 05  6651.
 1979 04  9747.
 1979 03  639.
 1979 02  9042·
 1979 01  8936·
 1978 12 3621·
 1978 11 3425.
 1978 10 5836·
 1978 09 8147.
 1978 08 2461·
 1978 07 3743.
 1978 06 9752.
 1978 05 3459.
 1978 04 8660.
 1978 03 7254·
 1978 02 9551.
 1978 01 7058·
 1977 12  7347.
 1977 11  1955·
 1977 10  6483.
 1977 09  3169.
 1977 08  5987·
 1977 07  8693·
 1977 06  4394.
 1977 05  8674·
 1977 04  46118·
 1977 03  4103·
 1977 02  9497·
 1977 01  31102.
 1976 12 59113·
 1976 11 3093.
 1976 10 684·
 1976 09 8493.
 1976 08 48116.
 1976 07 45136·
 1976 06 91147.
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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: Number Unemployed for 27-51 Weeks 25-34 years, Men: 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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