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 Series Title: Of Total Unemployed 25-34 years, Women, 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 7065.0
 2012 03 5156·4
 2012 02 7556·4
 2012 01 8256·6
 2011 12  3657.7
 2011 11  460·1
 2011 10  5461·0
 2011 09  8561.8
 2011 08  7559·2
 2011 07  6260·1
 2011 06  4156.1
 2011 05  9361·0
 2011 04  3758.7
 2011 03  655.7
 2011 02  4758.1
 2011 01  5054·1
 2010 12 9758.9
 2010 11 4355.5
 2010 10 1157·7
 2010 09 2560·2
 2010 08 5653.8
 2010 07 557.1
 2010 06 9660·1
 2010 05 1260.5
 2010 04 4060·3
 2010 03 4859·5
 2010 02 9057·3
 2010 01 3159·4
 2009 12  9753.4
 2009 11  5454·0
 2009 10  657·4
 2009 09  2654·3
 2009 08  549.3
 2009 07  2950·4
 2009 06  8152.0
 2009 05  6552·5
 2009 04  6348.7
 2009 03  642·5
 2009 02  7837.8
 2009 01  4337·0
 2008 12 9734·3
 2008 11 4033·4
 2008 10 8636·8
 2008 09 8036.7
 2008 08 5635.6
 2008 07 1434.1
 2008 06 1633.1
 2008 05 1834·6
 2008 04 1838.1
 2008 03 3429.7
 2008 02 830·6
 2008 01 2824·4
 2007 12  8130·6
 2007 11  3230·6
 2007 10  2430·0
 2007 09  327.9
 2007 08  7127.8
 2007 07  6526·0
 2007 06  5226·9
 2007 05  6333.1
 2007 04  3936·3
 2007 03  1336·6
 2007 02  432·3
 2007 01  5134.6
 2006 12 6135.0
 2006 11 8430·0
 2006 10 1929.8
 2006 09 3831.4
 2006 08 3527·9
 2006 07 924.4
 2006 06 6027.0
 2006 05 1635.9
 2006 04 8931·9
 2006 03 4632·5
 2006 02 1437·1
 2006 01 632·3
 2005 12  7132.2
 2005 11  7531.3
 2005 10  9433·6
 2005 09  5133·4
 2005 08  5931.1
 2005 07  329·9
 2005 06  3828·2
 2005 05  2037·8
 2005 04  5136.9
 2005 03  6233·8
 2005 02  1036·1
 2005 01  834.0
 2004 12 7435·0
 2004 11 835·3
 2004 10 9739.0
 2004 09 3435·9
 2004 08 7734.8
 2004 07 2432·7
 2004 06 1134·7
 2004 05 4139.3
 2004 04 3735·1
 2004 03 1634·6
 2004 02 9136·2
 2004 01 037.5
 2003 12  5338.7
 2003 11  1538·1
 2003 10  040·1
 2003 09  337.6
 2003 08  5237.1
 2003 07  7835.5
 2003 06  2534·9
 2003 05  7135.8
 2003 04  8237·6
 2003 03  8739.0
 2003 02  8036·8
 2003 01  4835·4
 2002 12 2138·2
 2002 11 4834·9
 2002 10 239·1
 2002 09 234.8
 2002 08 6732.3
 2002 07 9335·0
 2002 06 5440.2
 2002 05 2836.9
 2002 04 4736.5
 2002 03 7933·9
 2002 02 2529·5
 2002 01 4426·2
 2001 12  1125.7
 2001 11  8727·1
 2001 10  2625·9
 2001 09  9629.1
 2001 08  3421·5
 2001 07  2523.1
 2001 06  9621.7
 2001 05  5125·1
 2001 04  1721·4
 2001 03  2221·7
 2001 02  9822·2
 2001 01  520·1
 2000 12 8518.5
 2000 11 3724·3
 2000 10 2024.3
 2000 09 7724.0
 2000 08 8919·7
 2000 07 5126·1
 2000 06 7425.7
 2000 05 922.8
 2000 04 325.4
 2000 03 7019.9
 2000 02 9924·5
 2000 01 7319·7
 1999 12  2929.6
 1999 11  2723.7
 1999 10  5727.3
 1999 09  6124.3
 1999 08  9123·1
 1999 07  7721·8
 1999 06  3621·0
 1999 05  9427·8
 1999 04  4023.7
 1999 03  331·9
 1999 02  4925.8
 1999 01  1424·7
 1998 12 5232·1
 1998 11 1025·4
 1998 10 3426.5
 1998 09 9223·6
 1998 08 2722·7
 1998 07 3225.5
 1998 06 5529.4
 1998 05 2125.4
 1998 04 8926·9
 1998 03 2428.9
 1998 02 9827.6
 1998 01 2125.7
 1997 12  9125.0
 1997 11  6724.3
 1997 10  7630.1
 1997 09  3634.4
 1997 08  629·3
 1997 07  7035.0
 1997 06  2934.0
 1997 05  3431·5
 1997 04  3629.7
 1997 03  6232.1
 1997 02  1732·6
 1997 01  1027·1
 1996 12 627.3
 1996 11 229.8
 1996 10 3031·1
 1996 09 8332·4
 1996 08 6528.3
 1996 07 7027.4
 1996 06 8032.4
 1996 05 9836.9
 1996 04 9132·2
 1996 03 7331.4
 1996 02 631.7
 1996 01 2329·8
 1995 12  8233.7
 1995 11  4331.6
 1995 10  6926.4
 1995 09  5228.0
 1995 08  6425.3
 1995 07  3727·7
 1995 06  5928.7
 1995 05  539.5
 1995 04  8934·2
 1995 03  3531.3
 1995 02  8732·1
 1995 01  2629.1
 1994 12 3038.0
 1994 11 4634.3
 1994 10 9235.8
 1994 09 8431.1
 1994 08 8932.8
 1994 07 031.8
 1994 06 3632.8
 1994 05 7336·4
 1994 04 9137.8
 1994 03 5336·6
 1994 02 834.1
 1994 01 1232.0
 1993 12  8627·8
 1993 11  8929·3
 1993 10  2028.6
 1993 09  4627.8
 1993 08  5032·1
 1993 07  1330·5
 1993 06  1127·4
 1993 05  4335·6
 1993 04  8328·6
 1993 03  5732.1
 1993 02  4231·7
 1993 01  9733·2
 1992 12 1033·9
 1992 11 7730·2
 1992 10 333.2
 1992 09 2932·2
 1992 08 8232·0
 1992 07 5631·9
 1992 06 532.1
 1992 05 8136.2
 1992 04 7534.2
 1992 03 9930·9
 1992 02 8830.4
 1992 01 2428·4
 1991 12  8829·2
 1991 11  3927·3
 1991 10  1322·4
 1991 09  5022·3
 1991 08  4723·8
 1991 07  3219.9
 1991 06  6922.5
 1991 05  8021.0
 1991 04  223·8
 1991 03  6020·5
 1991 02  6819.2
 1991 01  5821.9
 1990 12 3019.9
 1990 11 2919·3
 1990 10 4818·3
 1990 09 5216·8
 1990 08 2915·6
 1990 07 7216·5
 1990 06 7319.6
 1990 05 5721.5
 1990 04 2620·7
 1990 03 4415.7
 1990 02 3017.3
 1990 01 9218·0
 1989 12  7217·7
 1989 11  2816·2
 1989 10  3213·5
 1989 09  014·4
 1989 08  4017·2
 1989 07  2919·9
 1989 06  1717·3
 1989 05  5316.9
 1989 04  3220.8
 1989 03  8020·4
 1989 02  4816·2
 1989 01  4218.9
 1988 12 7421·7
 1988 11 3814·7
 1988 10 1317.8
 1988 09 8817·8
 1988 08 1521.1
 1988 07 8318.0
 1988 06 2416·6
 1988 05 3421.6
 1988 04 3023.7
 1988 03 2327.3
 1988 02 2024.1
 1988 01 5121.5
 1987 12  2221.9
 1987 11  8924.0
 1987 10  6321·2
 1987 09  3120·9
 1987 08  1420.3
 1987 07  3823.9
 1987 06  4123·9
 1987 05  9427.4
 1987 04  5729·4
 1987 03  5226.8
 1987 02  6726.0
 1987 01  8423.5
 1986 12 2628·6
 1986 11 3620.3
 1986 10 8022.3
 1986 09 7122·8
 1986 08 2222.4
 1986 07 2419·4
 1986 06 4223.0
 1986 05 4827·2
 1986 04 7123.9
 1986 03 7023.9
 1986 02 4025.0
 1986 01 3524·0
 1985 12  2223·9
 1985 11  5821.0
 1985 10  8818·2
 1985 09  7620·8
 1985 08  5218.0
 1985 07  9422.3
 1985 06  2423·2
 1985 05  3927.5
 1985 04  6027·7
 1985 03  828.4
 1985 02  1027·6
 1985 01  1924·5
 1984 12 7121.0
 1984 11 5924.3
 1984 10 3521.9
 1984 09 3622.0
 1984 08 3724.0
 1984 07 2827·9
 1984 06 1132·3
 1984 05 3337·1
 1984 04 3331.7
 1984 03 2028.4
 1984 02 7629.7
 1984 01 7930.9
 1983 12  5831·5
 1983 11  6925.3
 1983 10  9329·4
 1983 09  6926·3
 1983 08  3926.6
 1983 07  3032.7
 1983 06  5035·4
 1983 05  2241.6
 1983 04  2645.3
 1983 03  8541·9
 1983 02  6137.3
 1983 01  8138.9
 1982 12 9433.0
 1982 11 4131.2
 1982 10 6128.9
 1982 09 1725·5
 1982 08 4327.9
 1982 07 3026·6
 1982 06 1631·3
 1982 05 2233.6
 1982 04 031.8
 1982 03 729.1
 1982 02 1229·6
 1982 01 1721.7
 1981 12  1424·6
 1981 11  5523.4
 1981 10  6222.9
 1981 09  4621·4
 1981 08  6022·1
 1981 07  8125.5
 1981 06  529.3
 1981 05  7630·1
 1981 04  4028.5
 1981 03  1628.0
 1981 02  327.8
 1981 01  426.8
 1980 12 7827·5
 1980 11 1624·7
 1980 10 4422·0
 1980 09 4822·1
 1980 08 2521·3
 1980 07 6421.5
 1980 06 4120.4
 1980 05 5124.7
 1980 04 5724.6
 1980 03 6620.9
 1980 02 3219.3
 1980 01 8419.2
 1979 12  7317.9
 1979 11  5315·5
 1979 10  8016·4
 1979 09  4016·1
 1979 08  9916.6
 1979 07  8216.5
 1979 06  7219.1
 1979 05  3824.9
 1979 04  8621.9
 1979 03  3521·1
 1979 02  2218·7
 1979 01  2319.4
 1978 12 818·3
 1978 11 1917.7
 1978 10 6722·0
 1978 09 6315.2
 1978 08 6715.9
 1978 07 6516·3
 1978 06 7122·6
 1978 05 5426·3
 1978 04 8829·1
 1978 03 3024·2
 1978 02 2125·8
 1978 01 1324.3
 1977 12  2022.5
 1977 11  9521·3
 1977 10  3019·5
 1977 09  8622.5
 1977 08  4020·5
 1977 07  6724.0
 1977 06  3623.5
 1977 05  4034.6
 1977 04  4832.8
 1977 03  7830·3
 1977 02  231·3
 1977 01  7129·3
 1976 12 6930·7
 1976 11 8425.4
 1976 10 1624.6
 1976 09 9823·1
 1976 08 5427.7
 1976 07 6727·8
 1976 06 9031.5
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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.
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 25-34 years, Women, Percent 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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