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 Series Title: Of Total Unemployed 35-44 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 04 962.2
 2012 03 5266.2
 2012 02 2363·4
 2012 01 1161·4
 2011 12  3166·2
 2011 11  9862·6
 2011 10  3360.1
 2011 09  8260·7
 2011 08  7560·3
 2011 07  9960.3
 2011 06  9962·0
 2011 05  863.1
 2011 04  9265·2
 2011 03  3666.5
 2011 02  3661.4
 2011 01  3363·2
 2010 12 5863·4
 2010 11 1661·8
 2010 10 8162.0
 2010 09 2662·8
 2010 08 7360.4
 2010 07 7159·6
 2010 06 9764.0
 2010 05 8167.2
 2010 04 6172.3
 2010 03 5766.6
 2010 02 7161.0
 2010 01 1856.2
 2009 12  7456·2
 2009 11  5662.4
 2009 10  1760.5
 2009 09  8060.5
 2009 08  8853·8
 2009 07  7453·6
 2009 06  7254.5
 2009 05  3853·9
 2009 04  153·1
 2009 03  4449·4
 2009 02  047.8
 2009 01  8440·9
 2008 12 4040·2
 2008 11 2139.3
 2008 10 8840.2
 2008 09 3837·8
 2008 08 5531·9
 2008 07 8838.3
 2008 06 4938.7
 2008 05 4538.6
 2008 04 2235.1
 2008 03 5134.0
 2008 02 2234.2
 2008 01 7235.9
 2007 12  4134.0
 2007 11  4231·6
 2007 10  6840·3
 2007 09  1541·5
 2007 08  3730·2
 2007 07  1736.2
 2007 06  7639.6
 2007 05  9337·9
 2007 04  6037·2
 2007 03  5934.3
 2007 02  5940.7
 2007 01  5037·8
 2006 12 8736·4
 2006 11 7335·1
 2006 10 5534.5
 2006 09 5434.9
 2006 08 1729·3
 2006 07 9131.5
 2006 06 2633.7
 2006 05 141·6
 2006 04 7640.9
 2006 03 7041.5
 2006 02 6041.1
 2006 01 836·6
 2005 12  1435·0
 2005 11  9233·0
 2005 10  7138.0
 2005 09  2133.8
 2005 08  737·2
 2005 07  6330·9
 2005 06  9632.7
 2005 05  837·3
 2005 04  5542·2
 2005 03  1541·4
 2005 02  9839.8
 2005 01  6437·6
 2004 12 8342.9
 2004 11 537·6
 2004 10 6540.8
 2004 09 844.9
 2004 08 4245.5
 2004 07 1439.3
 2004 06 1040·1
 2004 05 8346·8
 2004 04 745·8
 2004 03 4841·3
 2004 02 7044.0
 2004 01 6043.1
 2003 12  7941.1
 2003 11  4045·1
 2003 10  942.1
 2003 09  3242·9
 2003 08  8342·7
 2003 07  4642·5
 2003 06  1544.3
 2003 05  1839.4
 2003 04  6944·8
 2003 03  4842.6
 2003 02  037.0
 2003 01  6241.0
 2002 12 1346.8
 2002 11 5240.0
 2002 10 341·7
 2002 09 3440.0
 2002 08 1539·4
 2002 07 9142·3
 2002 06 8641·4
 2002 05 2844·9
 2002 04 042.9
 2002 03 2041·3
 2002 02 3738·0
 2002 01 6232·8
 2001 12  1929·7
 2001 11  2133·3
 2001 10  6832·6
 2001 09  8232·5
 2001 08  4825·4
 2001 07  122.4
 2001 06  1923·5
 2001 05  5536.1
 2001 04  8732·5
 2001 03  9228.8
 2001 02  5128.0
 2001 01  7727.4
 2000 12 6025.4
 2000 11 4930·2
 2000 10 5435.2
 2000 09 6630.1
 2000 08 1927·6
 2000 07 5623·3
 2000 06 3825.3
 2000 05 6730·9
 2000 04 3927·5
 2000 03 1822·6
 2000 02 4328·0
 2000 01 4928·8
 1999 12  2024.9
 1999 11  6827·8
 1999 10  3229.3
 1999 09  524.1
 1999 08  8824·7
 1999 07  6127·3
 1999 06  9131.6
 1999 05  5629.9
 1999 04  9234·1
 1999 03  8036·3
 1999 02  3535·9
 1999 01  4432·5
 1998 12 1030·7
 1998 11 3033.9
 1998 10 132.0
 1998 09 4031·2
 1998 08 4024.5
 1998 07 4523·2
 1998 06 5224·2
 1998 05 3731.5
 1998 04 828·2
 1998 03 7928.6
 1998 02 7531.8
 1998 01 5531·6
 1997 12  6531.5
 1997 11  1634.4
 1997 10  8436·1
 1997 09  3737.2
 1997 08  8633·1
 1997 07  6134·2
 1997 06  1731·6
 1997 05  5335.0
 1997 04  7140.4
 1997 03  4737·4
 1997 02  3632·4
 1997 01  9732·6
 1996 12 4632·8
 1996 11 3031.7
 1996 10 3032.7
 1996 09 8934.5
 1996 08 6135.1
 1996 07 9136·6
 1996 06 1032·7
 1996 05 7133.1
 1996 04 9242.9
 1996 03 3738·8
 1996 02 1634·8
 1996 01 1435·9
 1995 12  3944.0
 1995 11  042.0
 1995 10  1033·7
 1995 09  1131.4
 1995 08  2729.3
 1995 07  3628·7
 1995 06  8029·4
 1995 05  8340·2
 1995 04  739·4
 1995 03  2837.2
 1995 02  3936·6
 1995 01  7135·5
 1994 12 5335.4
 1994 11 8135.8
 1994 10 2438·8
 1994 09 4731·1
 1994 08 6831.0
 1994 07 2833·7
 1994 06 9936·1
 1994 05 441·7
 1994 04 7544·9
 1994 03 2539.8
 1994 02 5142·7
 1994 01 6140·2
 1993 12  2638·1
 1993 11  5336.9
 1993 10  9437·3
 1993 09  6338·3
 1993 08  9537.8
 1993 07  2033·6
 1993 06  6540·7
 1993 05  7843.5
 1993 04  8341·9
 1993 03  5745.1
 1993 02  2743·7
 1993 01  040·6
 1992 12 1639.5
 1992 11 2040.8
 1992 10 6838.4
 1992 09 5035.3
 1992 08 4431.0
 1992 07 9233.9
 1992 06 139·6
 1992 05 7044·5
 1992 04 4242.9
 1992 03 7838·5
 1992 02 6445.2
 1992 01 3136.8
 1991 12  1034·0
 1991 11  1130·8
 1991 10  1928.9
 1991 09  2525.6
 1991 08  7528·3
 1991 07  4728·0
 1991 06  5628.4
 1991 05  7330·9
 1991 04  8627·4
 1991 03  6826.9
 1991 02  8526·4
 1991 01  1924·3
 1990 12 1926·2
 1990 11 8126·9
 1990 10 4623.8
 1990 09 3122·9
 1990 08 7422.3
 1990 07 1624.6
 1990 06 225·3
 1990 05 429·2
 1990 04 7622.9
 1990 03 3120·0
 1990 02 3922.9
 1990 01 5625·1
 1989 12  7721.3
 1989 11  821·4
 1989 10  7219.9
 1989 09  3315.9
 1989 08  5120·0
 1989 07  5220.8
 1989 06  3719·6
 1989 05  319·8
 1989 04  9923·1
 1989 03  9623·4
 1989 02  9820.2
 1989 01  6124·3
 1988 12 4522.0
 1988 11 9717·3
 1988 10 4321·5
 1988 09 2524·6
 1988 08 4223.1
 1988 07 3524.7
 1988 06 8529·5
 1988 05 3928·1
 1988 04 6331.2
 1988 03 1832·7
 1988 02 6126·5
 1988 01 7323.4
 1987 12  1030.2
 1987 11  7724·1
 1987 10  3520.9
 1987 09  2119.5
 1987 08  721.1
 1987 07  6919.0
 1987 06  9428.8
 1987 05  332.5
 1987 04  636.8
 1987 03  7530.2
 1987 02  5130.0
 1987 01  6130.2
 1986 12 8129.3
 1986 11 326·1
 1986 10 4422.0
 1986 09 6625·6
 1986 08 3227·7
 1986 07 8324·2
 1986 06 3628.3
 1986 05 1129·2
 1986 04 8729.8
 1986 03 7329.9
 1986 02 1430·2
 1986 01 1626·0
 1985 12  9327·9
 1985 11  5424.9
 1985 10  9326·6
 1985 09  2424·9
 1985 08  2823.4
 1985 07  3228·4
 1985 06  928.7
 1985 05  530.7
 1985 04  9237·9
 1985 03  4029·9
 1985 02  2630.8
 1985 01  5428·3
 1984 12 934.6
 1984 11 3428.1
 1984 10 3125.7
 1984 09 8825·2
 1984 08 3027.4
 1984 07 9530·1
 1984 06 3831·8
 1984 05 5332.7
 1984 04 3138.6
 1984 03 3136·2
 1984 02 8334.2
 1984 01 1735.3
 1983 12  1235.0
 1983 11  7236·4
 1983 10  3135.7
 1983 09  7538·3
 1983 08  9837·2
 1983 07  7640·6
 1983 06  6942.8
 1983 05  4646·5
 1983 04  4147.6
 1983 03  2538·9
 1983 02  939·3
 1983 01  7339.2
 1982 12 1438·8
 1982 11 2435.0
 1982 10 9033.9
 1982 09 2730·2
 1982 08 1930.0
 1982 07 530.3
 1982 06 7536·2
 1982 05 033.8
 1982 04 8132.6
 1982 03 2630·7
 1982 02 5227.7
 1982 01 1328.4
 1981 12  5025·7
 1981 11  6725.0
 1981 10  3324.0
 1981 09  1021·9
 1981 08  218·9
 1981 07  3623.2
 1981 06  5628·2
 1981 05  5934·3
 1981 04  3730.1
 1981 03  6330·7
 1981 02  8433·9
 1981 01  5433.5
 1980 12 8133.9
 1980 11 729·6
 1980 10 626·3
 1980 09 1624·3
 1980 08 8426.3
 1980 07 4720.8
 1980 06 3423·7
 1980 05 8723.4
 1980 04 2129·2
 1980 03 9224.9
 1980 02 521.4
 1980 01 3821.7
 1979 12  9223·3
 1979 11  7220·4
 1979 10  8323·5
 1979 09  6219.7
 1979 08  2416·6
 1979 07  4417·3
 1979 06  5623·9
 1979 05  7825·7
 1979 04  6627·9
 1979 03  9025.8
 1979 02  3623.5
 1979 01  3122·4
 1978 12 9422·7
 1978 11 1717·2
 1978 10 6215.1
 1978 09 8917·7
 1978 08 814.9
 1978 07 5616·7
 1978 06 9622.5
 1978 05 4826.3
 1978 04 3429·8
 1978 03 6428.4
 1978 02 2726·2
 1978 01 2526·6
 1977 12  2229.9
 1977 11  2225.7
 1977 10  6621·9
 1977 09  6524.8
 1977 08  4826.7
 1977 07  3732.8
 1977 06  5328·8
 1977 05  3828·6
 1977 04  1133·0
 1977 03  4126·6
 1977 02  4926.7
 1977 01  3723.8
 1976 12 3730·7
 1976 11 9026·0
 1976 10 4326·2
 1976 09 8225·7
 1976 08 7824.9
 1976 07 6632.2
 1976 06 4834·4
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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 35-44 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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