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 Series Title: Of Total Unemployed 45-54 years Percent Unemployed Less than 5 Weeks: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 6513·9
 2012 03 1413·7
 2012 02 6413.3
 2012 01 1518·7
 2011 12  9620·3
 2011 11  3616·4
 2011 10  6416.7
 2011 09  4315.5
 2011 08  1315·0
 2011 07  7415·9
 2011 06  8418·5
 2011 05  8712·5
 2011 04  6515.1
 2011 03  1111.1
 2011 02  3713.3
 2011 01  9418.8
 2010 12 2815·4
 2010 11 5417·3
 2010 10 6012.5
 2010 09 3114.3
 2010 08 214.5
 2010 07 3416·5
 2010 06 1615.0
 2010 05 9313·2
 2010 04 1211.5
 2010 03 710.9
 2010 02 9412·6
 2010 01 9816·2
 2009 12  1017.5
 2009 11  5615.9
 2009 10  614.9
 2009 09  9215·4
 2009 08  7016·3
 2009 07  8820.1
 2009 06  8920·5
 2009 05  4418·0
 2009 04  9315.9
 2009 03  3216.7
 2009 02  822.1
 2009 01  4627.7
 2008 12 526.3
 2008 11 4829.6
 2008 10 4927.7
 2008 09 1923·1
 2008 08 5426·2
 2008 07 1525.8
 2008 06 2728.7
 2008 05 727.8
 2008 04 1820·5
 2008 03 4125.3
 2008 02 7727.1
 2008 01 7932·9
 2007 12  9631.7
 2007 11  5728.4
 2007 10  6426.8
 2007 09  2932.0
 2007 08  1428·0
 2007 07  2031.4
 2007 06  7633·8
 2007 05  7525·3
 2007 04  2328·5
 2007 03  1124.8
 2007 02  2528.0
 2007 01  6331·2
 2006 12 9634.6
 2006 11 3827·7
 2006 10 4833·4
 2006 09 6230.1
 2006 08 3625·8
 2006 07 3135.1
 2006 06 1035·6
 2006 05 6426·4
 2006 04 6728.9
 2006 03 4825.0
 2006 02 9826.1
 2006 01 9132.0
 2005 12  4032·2
 2005 11  7027·9
 2005 10  2533.0
 2005 09  8530·7
 2005 08  3025.1
 2005 07  435·3
 2005 06  2830·0
 2005 05  1725·0
 2005 04  3726·5
 2005 03  8220.6
 2005 02  7124·1
 2005 01  7926·9
 2004 12 8729·6
 2004 11 5927.0
 2004 10 4131·9
 2004 09 9228·9
 2004 08 3125·6
 2004 07 1831·5
 2004 06 5229·5
 2004 05 9926.9
 2004 04 4320·8
 2004 03 6521·3
 2004 02 4120.7
 2004 01 6926·2
 2003 12  2424.3
 2003 11  3222.4
 2003 10  7122.8
 2003 09  9724.3
 2003 08  024.8
 2003 07  7630·3
 2003 06  3026·3
 2003 05  220·6
 2003 04  2121.0
 2003 03  7824·0
 2003 02  3121.3
 2003 01  2827·5
 2002 12 6224·6
 2002 11 4526·1
 2002 10 1225.1
 2002 09 4421.6
 2002 08 2327.1
 2002 07 825.9
 2002 06 3530.2
 2002 05 4423.8
 2002 04 3126·0
 2002 03 2524·9
 2002 02 8926·8
 2002 01 4733·4
 2001 12  3530·6
 2001 11  7630.9
 2001 10  8735·1
 2001 09  9837·0
 2001 08  1135·4
 2001 07  6938.7
 2001 06  6639.1
 2001 05  6634·5
 2001 04  5937.0
 2001 03  3529.3
 2001 02  8933·7
 2001 01  4438·5
 2000 12 435.4
 2000 11 3141·2
 2000 10 4533.7
 2000 09 5240.0
 2000 08 9840·4
 2000 07 3842.3
 2000 06 4545.2
 2000 05 3540·1
 2000 04 1534·8
 2000 03 6332·5
 2000 02 2930·7
 2000 01 6039.4
 1999 12  5534.7
 1999 11  3740·5
 1999 10  5840·8
 1999 09  2338·9
 1999 08  4537.2
 1999 07  1840·5
 1999 06  2134·0
 1999 05  4234·0
 1999 04  3432·2
 1999 03  8731.2
 1999 02  3034.1
 1999 01  6235·2
 1998 12 9934.2
 1998 11 5039.6
 1998 10 2538.9
 1998 09 5238.1
 1998 08 3834.8
 1998 07 4038·4
 1998 06 6636.0
 1998 05 629.9
 1998 04 7935.8
 1998 03 1228.1
 1998 02 4331·8
 1998 01 4241.4
 1997 12  7033·4
 1997 11  4932·8
 1997 10  6830.2
 1997 09  628·8
 1997 08  8829.0
 1997 07  5731·3
 1997 06  7934·3
 1997 05  6629.9
 1997 04  3323·4
 1997 03  6829·6
 1997 02  3928.2
 1997 01  1738·9
 1996 12 3032·0
 1996 11 3839·5
 1996 10 3628.2
 1996 09 7731.0
 1996 08 3024.5
 1996 07 4932·0
 1996 06 8229.5
 1996 05 9129·7
 1996 04 826.8
 1996 03 820.5
 1996 02 1626·9
 1996 01 2832·6
 1995 12  6429·6
 1995 11  4736.2
 1995 10  132·9
 1995 09  8235·2
 1995 08  2428·6
 1995 07  2134.5
 1995 06  2434.9
 1995 05  7227·9
 1995 04  3826.1
 1995 03  1320·7
 1995 02  9929.3
 1995 01  4228.7
 1994 12 8230.2
 1994 11 2930·6
 1994 10 6224.2
 1994 09 6228.1
 1994 08 5625.1
 1994 07 130·9
 1994 06 7832·2
 1994 05 2526.1
 1994 04 8625.3
 1994 03 8522.1
 1994 02 3321·3
 1994 01 5131.2
 1993 12  2125·5
 1993 11  6425.3
 1993 10  4228.6
 1993 09  8426.1
 1993 08  3727·1
 1993 07  4329.0
 1993 06  4127·1
 1993 05  9324.2
 1993 04  3523·8
 1993 03  5523.9
 1993 02  9424.8
 1993 01  7225.8
 1992 12 4022.6
 1992 11 5627·8
 1992 10 8928·4
 1992 09 4027·1
 1992 08 224·8
 1992 07 2826.6
 1992 06 3823.3
 1992 05 4226.6
 1992 04 9723·6
 1992 03 7723·0
 1992 02 7926·0
 1992 01 4728·2
 1991 12  2528·8
 1991 11  3534.7
 1991 10  7532.2
 1991 09  4833·0
 1991 08  1230·7
 1991 07  5930·7
 1991 06  1532.4
 1991 05  6528·5
 1991 04  823.0
 1991 03  3028.9
 1991 02  1032.4
 1991 01  4232·2
 1990 12 8734·0
 1990 11 5539.7
 1990 10 9941.7
 1990 09 4836.5
 1990 08 5238.3
 1990 07 6631·1
 1990 06 4638.8
 1990 05 7733.0
 1990 04 2734.3
 1990 03 1934.5
 1990 02 3633·4
 1990 01 4940.5
 1989 12  6237·3
 1989 11  9539.8
 1989 10  8547·1
 1989 09  739·9
 1989 08  3339.2
 1989 07  342·1
 1989 06  2937.6
 1989 05  2135·0
 1989 04  4034·1
 1989 03  7236.2
 1989 02  3133.3
 1989 01  8540·6
 1988 12 928·9
 1988 11 6041.9
 1988 10 7938·3
 1988 09 1839·2
 1988 08 9033.9
 1988 07 4939·2
 1988 06 8634·3
 1988 05 6434.2
 1988 04 5835·5
 1988 03 4427·9
 1988 02 9130·5
 1988 01 9235·5
 1987 12  1536·6
 1987 11  7837·0
 1987 10  5538.2
 1987 09  9636·8
 1987 08  8436.1
 1987 07  836.4
 1987 06  6733.2
 1987 05  9633.1
 1987 04  1732.2
 1987 03  1529·3
 1987 02  4027·7
 1987 01  3637·0
 1986 12 8936.0
 1986 11 537.7
 1986 10 1238.2
 1986 09 8536·5
 1986 08 131.8
 1986 07 1033.2
 1986 06 4432·7
 1986 05 3627.9
 1986 04 7729·1
 1986 03 8831.0
 1986 02 2729·1
 1986 01 1037.9
 1985 12  6832·6
 1985 11  1934·3
 1985 10  7133·4
 1985 09  5036.3
 1985 08  5030.4
 1985 07  1035.3
 1985 06  1533·4
 1985 05  2532·5
 1985 04  2329·3
 1985 03  9329·3
 1985 02  2326.1
 1985 01  3031.7
 1984 12 1231·9
 1984 11 2436.8
 1984 10 8232.5
 1984 09 8435·9
 1984 08 6837·5
 1984 07 8640.2
 1984 06 433.0
 1984 05 3036.2
 1984 04 6629·9
 1984 03 8427·7
 1984 02 2822.7
 1984 01 3828·8
 1983 12  728·3
 1983 11  5127·1
 1983 10  1629.1
 1983 09  229·3
 1983 08  1526·1
 1983 07  4325·6
 1983 06  5724.4
 1983 05  4220.7
 1983 04  4224.3
 1983 03  4122.0
 1983 02  6423·1
 1983 01  127.8
 1982 12 6227.7
 1982 11 5328·6
 1982 10 7331·4
 1982 09 4833.1
 1982 08 7730·9
 1982 07 933.8
 1982 06 4928·8
 1982 05 7830.7
 1982 04 1128.5
 1982 03 6828.6
 1982 02 7929·6
 1982 01 1041·4
 1981 12  1537.8
 1981 11  939·8
 1981 10  7639.5
 1981 09  8835·8
 1981 08  6435·0
 1981 07  4137.8
 1981 06  7740·0
 1981 05  8132·7
 1981 04  5933·4
 1981 03  9329·0
 1981 02  4634·6
 1981 01  8333.0
 1980 12 2426·8
 1980 11 2435·2
 1980 10 7137·2
 1980 09 1333.6
 1980 08 1138.4
 1980 07 1535·3
 1980 06 6540·2
 1980 05 1640·6
 1980 04 9541·8
 1980 03 7337.6
 1980 02 6437·0
 1980 01 6143.1
 1979 12  7736·8
 1979 11  2842·8
 1979 10  3343·2
 1979 09  4141.9
 1979 08  8041.3
 1979 07  3841.7
 1979 06  5950·5
 1979 05  7638.9
 1979 04  5739.6
 1979 03  8429.6
 1979 02  5633·7
 1979 01  1139.2
 1978 12 8241.5
 1978 11 7440·8
 1978 10 6037.4
 1978 09 1337.8
 1978 08 5638.6
 1978 07 3834·7
 1978 06 3538·1
 1978 05 7838.0
 1978 04 431·9
 1978 03 3332.2
 1978 02 6831.6
 1978 01 2435.1
 1977 12  7732·3
 1977 11  4135.1
 1977 10  7434·1
 1977 09  9635.3
 1977 08  4932.7
 1977 07  6939·1
 1977 06  8940.4
 1977 05  6329·3
 1977 04  2228.8
 1977 03  4831·0
 1977 02  7626.4
 1977 01  1834·9
 1976 12 2135.0
 1976 11 3530·8
 1976 10 2332·0
 1976 09 8235·9
 1976 08 9529.2
 1976 07 1131.7
 1976 06 4430·1
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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: Of Total Unemployed 45-54 years Percent Unemployed Less than 5 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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