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 Series Title: Of Total Unemployed 20 years and over, 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 1764.3
 2012 03 7260·7
 2012 02 3460.1
 2012 01 6457·4
 2011 12  4361·1
 2011 11  5862·5
 2011 10  9561.2
 2011 09  7260.7
 2011 08  8658·7
 2011 07  9356·9
 2011 06  757.0
 2011 05  2863.3
 2011 04  9563.5
 2011 03  5762.5
 2011 02  8260·8
 2011 01  7858·9
 2010 12 4662.9
 2010 11 5961·0
 2010 10 5961·9
 2010 09 8960·0
 2010 08 4055·3
 2010 07 2957.1
 2010 06 159·7
 2010 05 5763.1
 2010 04 166.2
 2010 03 2362·7
 2010 02 9558.8
 2010 01 9958·2
 2009 12  8159.1
 2009 11  2559.9
 2009 10  5559.8
 2009 09  6158.9
 2009 08  5551.2
 2009 07  4050.3
 2009 06  1753·0
 2009 05  1251·8
 2009 04  2251.6
 2009 03  045·9
 2009 02  4641·9
 2009 01  4539.2
 2008 12 1043·1
 2008 11 6139.5
 2008 10 2942.2
 2008 09 8040·6
 2008 08 6735·8
 2008 07 634.8
 2008 06 7933·9
 2008 05 6136.4
 2008 04 6937.3
 2008 03 4032.1
 2008 02 3433.4
 2008 01 5732.4
 2007 12  1734·5
 2007 11  9635·8
 2007 10  5636.0
 2007 09  6234.0
 2007 08  3630·5
 2007 07  3029.7
 2007 06  3430·6
 2007 05  9636·2
 2007 04  7637·1
 2007 03  2434·5
 2007 02  8035·3
 2007 01  233·7
 2006 12 1336.0
 2006 11 8534.3
 2006 10 3334·3
 2006 09 4934.3
 2006 08 4732.5
 2006 07 4330.0
 2006 06 5527.7
 2006 05 3335·0
 2006 04 436.4
 2006 03 5635.6
 2006 02 3537.4
 2006 01 7132·9
 2005 12  3434.3
 2005 11  633.9
 2005 10  8435·2
 2005 09  834·4
 2005 08  1233.5
 2005 07  9829.9
 2005 06  4130.3
 2005 05  1438·3
 2005 04  3941.1
 2005 03  6540·1
 2005 02  6941·6
 2005 01  8237.1
 2004 12 4039.9
 2004 11 6438·9
 2004 10 5639.4
 2004 09 3140.0
 2004 08 6637.6
 2004 07 7534.8
 2004 06 1536·8
 2004 05 639·6
 2004 04 9240·5
 2004 03 642·0
 2004 02 8341·3
 2004 01 7641.5
 2003 12  1842.7
 2003 11  8840.9
 2003 10  2341·6
 2003 09  3539.3
 2003 08  6937.2
 2003 07  7838.4
 2003 06  2337·4
 2003 05  238.7
 2003 04  9742.9
 2003 03  5840.6
 2003 02  9738·6
 2003 01  2137.8
 2002 12 7640·9
 2002 11 3337·8
 2002 10 8238.5
 2002 09 6137·4
 2002 08 735.7
 2002 07 3736·7
 2002 06 4137.0
 2002 05 1639.5
 2002 04 1638·4
 2002 03 2536·1
 2002 02 6234.0
 2002 01 730·1
 2001 12  5229.5
 2001 11  7829.8
 2001 10  5728.6
 2001 09  7628.5
 2001 08  9124·3
 2001 07  523.1
 2001 06  6522·9
 2001 05  9327.2
 2001 04  3426.6
 2001 03  3627.5
 2001 02  4827.3
 2001 01  5225.4
 2000 12 525·0
 2000 11 2825.5
 2000 10 9527·4
 2000 09 7226.4
 2000 08 5622·6
 2000 07 6223.6
 2000 06 1922·9
 2000 05 9726.2
 2000 04 6126.8
 2000 03 4624.0
 2000 02 5622.6
 2000 01 9724.3
 1999 12  2124·6
 1999 11  1024·7
 1999 10  7126·2
 1999 09  6523·6
 1999 08  6223.3
 1999 07  1223.3
 1999 06  5025.5
 1999 05  2130.3
 1999 04  3429.7
 1999 03  3330·6
 1999 02  729.1
 1999 01  926.3
 1998 12 1130·6
 1998 11 8029·2
 1998 10 8128·2
 1998 09 9827.8
 1998 08 9623·8
 1998 07 8524.3
 1998 06 3224·7
 1998 05 8327·3
 1998 04 1227·2
 1998 03 428.8
 1998 02 5128·1
 1998 01 8128·3
 1997 12  1028·3
 1997 11  1828·2
 1997 10  4831.4
 1997 09  3833.7
 1997 08  6728·9
 1997 07  3532·3
 1997 06  6332·8
 1997 05  2234·6
 1997 04  8135.6
 1997 03  8531·2
 1997 02  5931.4
 1997 01  2929.3
 1996 12 7931·4
 1996 11 2730.9
 1996 10 2231·8
 1996 09 7631.2
 1996 08 1130.1
 1996 07 4028·4
 1996 06 6630.8
 1996 05 834.4
 1996 04 5239·8
 1996 03 3338.9
 1996 02 2934·9
 1996 01 9431·7
 1995 12  335.9
 1995 11  3633·4
 1995 10  7429.9
 1995 09  2829.2
 1995 08  8928.6
 1995 07  728·8
 1995 06  8928·1
 1995 05  3037·6
 1995 04  6135·7
 1995 03  2634.2
 1995 02  8634.9
 1995 01  4332·1
 1994 12 9336.7
 1994 11 135.2
 1994 10 438.9
 1994 09 3733.1
 1994 08 8731.0
 1994 07 6331·8
 1994 06 532·4
 1994 05 638·6
 1994 04 6741·1
 1994 03 6838.6
 1994 02 7739.0
 1994 01 6934.7
 1993 12  8433.7
 1993 11  9933.7
 1993 10  3333.3
 1993 09  7032.5
 1993 08  1432·0
 1993 07  6331.4
 1993 06  1132.5
 1993 05  7835·3
 1993 04  5633·1
 1993 03  8935.7
 1993 02  7534·1
 1993 01  8834.8
 1992 12 3736·3
 1992 11 3734·0
 1992 10 1134·7
 1992 09 1832.7
 1992 08 732.0
 1992 07 8633.2
 1992 06 3233.5
 1992 05 1337.1
 1992 04 4037.6
 1992 03 4433.8
 1992 02 7732.9
 1992 01 4231·1
 1991 12  3831.3
 1991 11  4229·6
 1991 10  925.8
 1991 09  9823.7
 1991 08  2525·1
 1991 07  3722.7
 1991 06  1524.4
 1991 05  224.0
 1991 04  5327.5
 1991 03  1024·3
 1991 02  821·9
 1991 01  9721·7
 1990 12 9621.9
 1990 11 6920·9
 1990 10 2718.3
 1990 09 5318.4
 1990 08 5517.5
 1990 07 4520·3
 1990 06 3319·8
 1990 05 6222.0
 1990 04 5621·3
 1990 03 9418.3
 1990 02 1519.2
 1990 01 4618.1
 1989 12  4819·3
 1989 11  9817.3
 1989 10  8615·6
 1989 09  4715·5
 1989 08  816·4
 1989 07  6419.1
 1989 06  8417.0
 1989 05  3620.0
 1989 04  3422.7
 1989 03  2321·6
 1989 02  7217.7
 1989 01  518.9
 1988 12 5420·9
 1988 11 3217·5
 1988 10 3620·0
 1988 09 7519·8
 1988 08 1721.6
 1988 07 7320·5
 1988 06 9219·7
 1988 05 8922.9
 1988 04 9925.5
 1988 03 5226·0
 1988 02 7524.4
 1988 01 1621·8
 1987 12  024.4
 1987 11  222·7
 1987 10  5021·4
 1987 09  5121·3
 1987 08  4521.0
 1987 07  7821·2
 1987 06  323.7
 1987 05  1326·7
 1987 04  8529·0
 1987 03  6226.6
 1987 02  4926·3
 1987 01  4624·8
 1986 12 9628·0
 1986 11 6122.8
 1986 10 2422·1
 1986 09 1924·6
 1986 08 7724.0
 1986 07 621·7
 1986 06 9223·6
 1986 05 2626·8
 1986 04 5426·5
 1986 03 5526·8
 1986 02 4125.8
 1986 01 8724·1
 1985 12  7825.4
 1985 11  8821.0
 1985 10  8321·1
 1985 09  4522.6
 1985 08  2321·3
 1985 07  1324·2
 1985 06  5725.0
 1985 05  6927·6
 1985 04  9030.3
 1985 03  6128·2
 1985 02  2527·3
 1985 01  5525.0
 1984 12 527.5
 1984 11 8825.6
 1984 10 7425·6
 1984 09 2024.5
 1984 08 1825.3
 1984 07 7727.2
 1984 06 2031.0
 1984 05 934·6
 1984 04 534.3
 1984 03 3430.6
 1984 02 9731.7
 1984 01 9232·5
 1983 12  6531·7
 1983 11  9129·3
 1983 10  7131·4
 1983 09  6229.0
 1983 08  2430·1
 1983 07  434.7
 1983 06  2936·0
 1983 05  3840·7
 1983 04  3343·2
 1983 03  5539.5
 1983 02  8335·9
 1983 01  6537.2
 1982 12 6735.4
 1982 11 5033.2
 1982 10 7230·8
 1982 09 1227.5
 1982 08 2628·8
 1982 07 2228.1
 1982 06 5830.4
 1982 05 7232.3
 1982 04 3631.7
 1982 03 2629.3
 1982 02 2927·4
 1982 01 6623·6
 1981 12  4724.1
 1981 11  4524·3
 1981 10  9823.0
 1981 09  3722.0
 1981 08  3521·7
 1981 07  8522.9
 1981 06  426.5
 1981 05  5429.0
 1981 04  9928.8
 1981 03  7826·7
 1981 02  828.6
 1981 01  1227.2
 1980 12 6628.5
 1980 11 8025·4
 1980 10 022·5
 1980 09 2922·8
 1980 08 8521.3
 1980 07 7420·8
 1980 06 9119·9
 1980 05 5023.2
 1980 04 3224.8
 1980 03 6521·4
 1980 02 2020·3
 1980 01 4420·5
 1979 12  820·3
 1979 11  8517.2
 1979 10  4918.5
 1979 09  516·9
 1979 08  3815.8
 1979 07  9115·4
 1979 06  6619·2
 1979 05  5223.9
 1979 04  7225.0
 1979 03  6523.9
 1979 02  8520·6
 1979 01  2920·8
 1978 12 8519·6
 1978 11 1318.2
 1978 10 4420.1
 1978 09 618·0
 1978 08 7917.4
 1978 07 6719·0
 1978 06 420.5
 1978 05 7625.6
 1978 04 7828.3
 1978 03 8425.0
 1978 02 5425.1
 1978 01 5925·0
 1977 12  3226.6
 1977 11  4425.4
 1977 10  724.3
 1977 09  9923·7
 1977 08  1824·1
 1977 07  5627.4
 1977 06  125.4
 1977 05  6532.2
 1977 04  3633.8
 1977 03  5029·1
 1977 02  9827·9
 1977 01  5126.6
 1976 12 1030·3
 1976 11 8327·0
 1976 10 8725·9
 1976 09 7724·5
 1976 08 9227·5
 1976 07 3729.4
 1976 06 8132·4
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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 20 years and over, 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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