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 Series Title: Of Total Unemployed 20 years and over, Percent 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 4864·4
 2012 03 9761·1
 2012 02 9957.9
 2012 01 656.4
 2011 12  9659·1
 2011 11  4761.6
 2011 10  4160·7
 2011 09  8761·8
 2011 08  7959·9
 2011 07  6459.2
 2011 06  5258·9
 2011 05  3664.9
 2011 04  4765.4
 2011 03  3063·4
 2011 02  4660·0
 2011 01  9658.1
 2010 12 7660.4
 2010 11 5261.2
 2010 10 6162.9
 2010 09 3760.5
 2010 08 6758·5
 2010 07 6160.3
 2010 06 5862.3
 2010 05 5366·3
 2010 04 4468·6
 2010 03 1363·2
 2010 02 2758·8
 2010 01 6356·8
 2009 12  5859.2
 2009 11  9161·0
 2009 10  8159.7
 2009 09  1158·5
 2009 08  8554.2
 2009 07  153·8
 2009 06  5654·0
 2009 05  6653.0
 2009 04  2452·9
 2009 03  7546·2
 2009 02  1641.7
 2009 01  2237·2
 2008 12 240.7
 2008 11 6939·5
 2008 10 4942·2
 2008 09 9939.7
 2008 08 6837·8
 2008 07 6536.1
 2008 06 6735.5
 2008 05 4137.7
 2008 04 9841·8
 2008 03 7034·4
 2008 02 933·2
 2008 01 1732·3
 2007 12  9333·8
 2007 11  1535·2
 2007 10  3833·9
 2007 09  2034.8
 2007 08  7734.6
 2007 07  5733·4
 2007 06  4134.0
 2007 05  7136·6
 2007 04  239.8
 2007 03  7737.3
 2007 02  3132·7
 2007 01  1330.1
 2006 12 4232·2
 2006 11 8333·4
 2006 10 4632.8
 2006 09 1534.7
 2006 08 9834·3
 2006 07 531·5
 2006 06 4931.8
 2006 05 7237.8
 2006 04 9540·2
 2006 03 138·4
 2006 02 2837·3
 2006 01 232.1
 2005 12  8534.7
 2005 11  5235·4
 2005 10  9636·1
 2005 09  5035.2
 2005 08  4136.3
 2005 07  6532·7
 2005 06  9132·7
 2005 05  8540.6
 2005 04  6543.1
 2005 03  7141.3
 2005 02  7538·4
 2005 01  236·4
 2004 12 8138·3
 2004 11 2739.0
 2004 10 3740·0
 2004 09 1839.1
 2004 08 4136·8
 2004 07 1536·5
 2004 06 8939·4
 2004 05 7943.0
 2004 04 2043.7
 2004 03 4144.5
 2004 02 6942·1
 2004 01 5339·3
 2003 12  1842·0
 2003 11  3741·7
 2003 10  4141.9
 2003 09  3541·1
 2003 08  6040.2
 2003 07  6040.8
 2003 06  9140.0
 2003 05  4442·0
 2003 04  9744.9
 2003 03  9141·9
 2003 02  3439.1
 2003 01  2437.0
 2002 12 439.7
 2002 11 3738.0
 2002 10 639·5
 2002 09 4438.5
 2002 08 8235·5
 2002 07 2937·4
 2002 06 7138.5
 2002 05 9841·1
 2002 04 5640·1
 2002 03 2536·8
 2002 02 1733.1
 2002 01 530·6
 2001 12  7630·8
 2001 11  530.5
 2001 10  5629·1
 2001 09  1028.8
 2001 08  1926·3
 2001 07  7725.8
 2001 06  2625·0
 2001 05  8228·0
 2001 04  8328.7
 2001 03  7127.7
 2001 02  9126.0
 2001 01  1423·1
 2000 12 9525·6
 2000 11 4625.2
 2000 10 3826·5
 2000 09 2625·1
 2000 08 524.2
 2000 07 8224·7
 2000 06 7923·1
 2000 05 6227·4
 2000 04 8828·9
 2000 03 8627.3
 2000 02 5424.0
 2000 01 9224·2
 1999 12  4526.6
 1999 11  8926·8
 1999 10  2527·2
 1999 09  827.0
 1999 08  225·7
 1999 07  4926·9
 1999 06  7929·5
 1999 05  3231.1
 1999 04  731·1
 1999 03  4729.1
 1999 02  3027.0
 1999 01  525.3
 1998 12 3827·9
 1998 11 8928·4
 1998 10 1628·5
 1998 09 9929·2
 1998 08 9427·0
 1998 07 826.8
 1998 06 9928.3
 1998 05 729·9
 1998 04 131·2
 1998 03 5931.4
 1998 02 6730·2
 1998 01 4728·3
 1997 12  930·7
 1997 11  2530·9
 1997 10  3333.1
 1997 09  6534.3
 1997 08  9331·5
 1997 07  1234·7
 1997 06  3632·7
 1997 05  2937.0
 1997 04  5439.3
 1997 03  5134·6
 1997 02  3732.2
 1997 01  3329·5
 1996 12 1831·9
 1996 11 031.7
 1996 10 2535·1
 1996 09 9734.3
 1996 08 3433.5
 1996 07 4032·7
 1996 06 1335·4
 1996 05 6537·6
 1996 04 7841.9
 1996 03 7839·6
 1996 02 3933.6
 1996 01 631·1
 1995 12  5133.6
 1995 11  4533.4
 1995 10  6533.2
 1995 09  1432·8
 1995 08  7732.6
 1995 07  9932.3
 1995 06  8032.4
 1995 05  840·0
 1995 04  840·8
 1995 03  1936.4
 1995 02  9534·7
 1995 01  3232.5
 1994 12 1836.6
 1994 11 1437·0
 1994 10 5040.7
 1994 09 5637·6
 1994 08 935.3
 1994 07 1536·3
 1994 06 736·5
 1994 05 7342·1
 1994 04 544·6
 1994 03 7941.7
 1994 02 5538.8
 1994 01 335·9
 1993 12  5637.2
 1993 11  8637.9
 1993 10  436·8
 1993 09  9037·1
 1993 08  3936·1
 1993 07  4536·5
 1993 06  9537.2
 1993 05  341.1
 1993 04  5342.6
 1993 03  8540·7
 1993 02  8938·2
 1993 01  3638·3
 1992 12 2540.2
 1992 11 6537.0
 1992 10 7538·4
 1992 09 837·6
 1992 08 337·7
 1992 07 6639.2
 1992 06 6640.5
 1992 05 6342.1
 1992 04 6542·8
 1992 03 9440·3
 1992 02 9836.2
 1992 01 7234.5
 1991 12  933.6
 1991 11  8131.6
 1991 10  3630.5
 1991 09  2729·8
 1991 08  6229.3
 1991 07  8429.4
 1991 06  6731.6
 1991 05  4831·2
 1991 04  7434.8
 1991 03  8430.0
 1991 02  425.8
 1991 01  7824·6
 1990 12 2124.5
 1990 11 8824·1
 1990 10 8523·2
 1990 09 8824.2
 1990 08 123·5
 1990 07 2723·7
 1990 06 7224.2
 1990 05 7226·2
 1990 04 4327.5
 1990 03 5924.9
 1990 02 5423.0
 1990 01 4722·4
 1989 12  9422·4
 1989 11  6522.0
 1989 10  4421·7
 1989 09  5922.2
 1989 08  3221.5
 1989 07  5123.8
 1989 06  7922·4
 1989 05  7726·4
 1989 04  5529.0
 1989 03  4926·5
 1989 02  2322·5
 1989 01  9523.6
 1988 12 9124.7
 1988 11 1623.2
 1988 10 6324.6
 1988 09 3226·0
 1988 08 8826·0
 1988 07 3326·2
 1988 06 1127·4
 1988 05 3230·5
 1988 04 2331·8
 1988 03 831·2
 1988 02 727·7
 1988 01 6425·7
 1987 12  9527.2
 1987 11  7126·8
 1987 10  1326.5
 1987 09  2228.3
 1987 08  3127.4
 1987 07  8028·2
 1987 06  1732.2
 1987 05  2634.5
 1987 04  8136·8
 1987 03  1532·5
 1987 02  3129·9
 1987 01  2028·2
 1986 12 1930·1
 1986 11 8427.8
 1986 10 9327.7
 1986 09 7229.6
 1986 08 4729·0
 1986 07 1928.4
 1986 06 6830.8
 1986 05 7833.2
 1986 04 9033·4
 1986 03 7532.6
 1986 02 4130·2
 1986 01 5628·1
 1985 12  9729·6
 1985 11  3528.0
 1985 10  2728·8
 1985 09  4928.2
 1985 08  4628·3
 1985 07  529.8
 1985 06  6331.5
 1985 05  2934.6
 1985 04  3537.5
 1985 03  1734·8
 1985 02  1232.1
 1985 01  8728·5
 1984 12 9131·0
 1984 11 2730.5
 1984 10 6230·9
 1984 09 4530.8
 1984 08 6331·0
 1984 07 1832·8
 1984 06 2636.6
 1984 05 4542·1
 1984 04 2741·9
 1984 03 9539·6
 1984 02 4137·1
 1984 01 5737·4
 1983 12  8438.3
 1983 11  9138.2
 1983 10  7138·9
 1983 09  7537.8
 1983 08  5939.6
 1983 07  6142.9
 1983 06  345·7
 1983 05  1949.7
 1983 04  250·5
 1983 03  8847.4
 1983 02  5142.4
 1983 01  3141·5
 1982 12 8940.1
 1982 11 7937·5
 1982 10 5236·9
 1982 09 8334.5
 1982 08 2034·8
 1982 07 6533.8
 1982 06 6936.5
 1982 05 6739.0
 1982 04 2139·5
 1982 03 235·6
 1982 02 9130.8
 1982 01 326.0
 1981 12  4126.3
 1981 11  7226·1
 1981 10  2927·7
 1981 09  3427·5
 1981 08  5628·3
 1981 07  8228·3
 1981 06  2231·4
 1981 05  3135.0
 1981 04  6737.5
 1981 03  6434·3
 1981 02  3232·3
 1981 01  8732.0
 1980 12 033·3
 1980 11 7430·8
 1980 10 4930·2
 1980 09 2129·7
 1980 08 327·1
 1980 07 9425.2
 1980 06 8324·5
 1980 05 7827.6
 1980 04 5431·0
 1980 03 3026.4
 1980 02 7422·6
 1980 01 2721·6
 1979 12  5122.6
 1979 11  1421·2
 1979 10  8521·1
 1979 09  6119·9
 1979 08  2120.6
 1979 07  320.3
 1979 06  222.7
 1979 05  028.4
 1979 04  1429.6
 1979 03  7928.2
 1979 02  4023·3
 1979 01  8822·1
 1978 12 622·4
 1978 11 4721·8
 1978 10 3523·9
 1978 09 9422·4
 1978 08 9621·4
 1978 07 4023.9
 1978 06 5225.3
 1978 05 1331.7
 1978 04 1135·1
 1978 03 1430·8
 1978 02 7727·2
 1978 01 6326.5
 1977 12  028.9
 1977 11  5128.4
 1977 10  2428.0
 1977 09  8928.4
 1977 08  3928.1
 1977 07  5830·6
 1977 06  3031·2
 1977 05  6037.2
 1977 04  2839·3
 1977 03  6635.4
 1977 02  5831·7
 1977 01  6930·9
 1976 12 9334·0
 1976 11 3232·2
 1976 10 9732.0
 1976 09 3730·7
 1976 08 8433·3
 1976 07 3733·8
 1976 06 5937.3
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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 20 years and over, Percent 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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