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 Series Title: Percent of Total Job Losers 20 years and over, Women Unemployed 15 Weeks and over: NSA
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 2012 04 966·5
 2012 03 1359·7
 2012 02 9860.9
 2012 01 3554.5
 2011 12  2060·2
 2011 11  5063·3
 2011 10  2563·2
 2011 09  7463.1
 2011 08  956.1
 2011 07  9753.8
 2011 06  6556.2
 2011 05  2565.1
 2011 04  2865.0
 2011 03  3765.4
 2011 02  3160.8
 2011 01  3158.8
 2010 12 5162.0
 2010 11 7660.8
 2010 10 6165.0
 2010 09 6162.3
 2010 08 7956.8
 2010 07 4659.6
 2010 06 1961.8
 2010 05 1065.3
 2010 04 3866.6
 2010 03 364·5
 2010 02 9161·1
 2010 01 9759.0
 2009 12  7759.6
 2009 11  3061·3
 2009 10  9163.1
 2009 09  6560·8
 2009 08  7352·8
 2009 07  3350.7
 2009 06  5853·8
 2009 05  8551·4
 2009 04  2550·2
 2009 03  4344·5
 2009 02  5240.0
 2009 01  4935.4
 2008 12 6039.7
 2008 11 1737.0
 2008 10 6440.7
 2008 09 7839.8
 2008 08 2632.7
 2008 07 3730·8
 2008 06 433·8
 2008 05 1538.3
 2008 04 036·2
 2008 03 930·3
 2008 02 1231·2
 2008 01 3029·5
 2007 12  8333·0
 2007 11  6533·9
 2007 10  5037·5
 2007 09  1736.3
 2007 08  9928.4
 2007 07  6224.4
 2007 06  728·2
 2007 05  9535·0
 2007 04  9935.5
 2007 03  8131.3
 2007 02  9431·0
 2007 01  727.2
 2006 12 5833.0
 2006 11 2934·8
 2006 10 5036.0
 2006 09 2435.7
 2006 08 7730.0
 2006 07 3827·5
 2006 06 3826·0
 2006 05 3834.6
 2006 04 8138·6
 2006 03 6434.5
 2006 02 4637.0
 2006 01 7131.2
 2005 12  2033·4
 2005 11  8837·8
 2005 10  8636·2
 2005 09  6534.6
 2005 08  7031.0
 2005 07  1927.1
 2005 06  9631·3
 2005 05  8941.4
 2005 04  3239.3
 2005 03  8643·1
 2005 02  4042.0
 2005 01  3934.7
 2004 12 3040.0
 2004 11 4738.7
 2004 10 536.4
 2004 09 3241.0
 2004 08 1537.1
 2004 07 8434·2
 2004 06 536·6
 2004 05 1341.5
 2004 04 6341.6
 2004 03 244.2
 2004 02 7642·8
 2004 01 5242·9
 2003 12  7439.9
 2003 11  3542·0
 2003 10  8247·8
 2003 09  4243.2
 2003 08  7236.3
 2003 07  3738.8
 2003 06  1138·7
 2003 05  341.6
 2003 04  1045.4
 2003 03  9242.6
 2003 02  7638·6
 2003 01  7838·3
 2002 12 6141·2
 2002 11 542.5
 2002 10 1445·2
 2002 09 3741.7
 2002 08 2737·0
 2002 07 938.8
 2002 06 8839.9
 2002 05 7443·7
 2002 04 3240.8
 2002 03 5938.9
 2002 02 8734.4
 2002 01 929·7
 2001 12  2829·0
 2001 11  3828·6
 2001 10  2427.7
 2001 09  8428·2
 2001 08  8922·4
 2001 07  5320·7
 2001 06  3519·1
 2001 05  7026.9
 2001 04  1625.4
 2001 03  3429.0
 2001 02  8426.9
 2001 01  6023·8
 2000 12 3522.8
 2000 11 3826·5
 2000 10 5928.8
 2000 09 7426.7
 2000 08 9521.1
 2000 07 4819·4
 2000 06 7421·1
 2000 05 5625.2
 2000 04 7226.7
 2000 03 6925.5
 2000 02 6423.9
 2000 01 7522·5
 1999 12  6720·4
 1999 11  3422.0
 1999 10  9528.5
 1999 09  2524.1
 1999 08  525.7
 1999 07  9822.4
 1999 06  5225.6
 1999 05  2528·8
 1999 04  3629·2
 1999 03  4530·2
 1999 02  5128.7
 1999 01  1924.3
 1998 12 3627.9
 1998 11 8028·1
 1998 10 2725.9
 1998 09 7729·1
 1998 08 523·0
 1998 07 3421·6
 1998 06 4524·1
 1998 05 9326.7
 1998 04 6823.6
 1998 03 6628·4
 1998 02 9123.6
 1998 01 8523.1
 1997 12  7626·0
 1997 11  5526·6
 1997 10  8028·0
 1997 09  9933.8
 1997 08  529·5
 1997 07  1030.0
 1997 06  4830·0
 1997 05  232·8
 1997 04  5430·3
 1997 03  6128.9
 1997 02  5927.7
 1997 01  9025·6
 1996 12 4927·9
 1996 11 6533.6
 1996 10 134·6
 1996 09 8132·7
 1996 08 4028·2
 1996 07 426·1
 1996 06 8629·9
 1996 05 1932·1
 1996 04 341·1
 1996 03 8441.1
 1996 02 5234.1
 1996 01 7429.5
 1995 12  3933·4
 1995 11  3731·5
 1995 10  6327.7
 1995 09  4029.2
 1995 08  7226.0
 1995 07  2027.8
 1995 06  626.2
 1995 05  3640·1
 1995 04  5337.0
 1995 03  1534.3
 1995 02  9435·6
 1995 01  628·8
 1994 12 5733.4
 1994 11 2734.5
 1994 10 6540.2
 1994 09 1934.0
 1994 08 8529·6
 1994 07 8930·9
 1994 06 8233·5
 1994 05 6941.7
 1994 04 6341·6
 1994 03 5841·0
 1994 02 3239.2
 1994 01 7633·7
 1993 12  4041·3
 1993 11  1442·0
 1993 10  2945·7
 1993 09  8342·4
 1993 08  9141.1
 1993 07  6541.3
 1993 06  1143.8
 1993 05  6045·2
 1993 04  1943·2
 1993 03  4244.7
 1993 02  4042·6
 1993 01  242.3
 1992 12 4644·9
 1992 11 244·5
 1992 10 446·2
 1992 09 2645·0
 1992 08 2542.4
 1992 07 2642·5
 1992 06 1745.5
 1992 05 7749.2
 1992 04 3149·4
 1992 03 2243.4
 1992 02 1538.9
 1992 01 2539.3
 1991 12  6338.1
 1991 11  2039·4
 1991 10  6335.7
 1991 09  6334.2
 1991 08  4834.0
 1991 07  7832·3
 1991 06  4732.0
 1991 05  1033.5
 1991 04  3531.6
 1991 03  7728.9
 1991 02  8125·9
 1991 01  1225·1
 1990 12 026.3
 1990 11 2324.1
 1990 10 322·4
 1990 09 3627.1
 1990 08 4421·1
 1990 07 4927·4
 1990 06 7527.6
 1990 05 7828·6
 1990 04 9225·3
 1990 03 1023.5
 1990 02 8623·9
 1990 01 5521·9
 1989 12  9422·7
 1989 11  9020·9
 1989 10  4824.6
 1989 09  1323·6
 1989 08  2523.0
 1989 07  9324.8
 1989 06  9922·6
 1989 05  2026.0
 1989 04  8726·1
 1989 03  5326·5
 1989 02  222.7
 1989 01  7123·7
 1988 12 325·3
 1988 11 2521.9
 1988 10 4526.2
 1988 09 8526.0
 1988 08 2631·7
 1988 07 9127·9
 1988 06 4130.6
 1988 05 531·7
 1988 04 3029.7
 1988 03 5834·4
 1988 02 2832.2
 1988 01 125·5
 1987 12  1527.9
 1987 11  5728.1
 1987 10  6830·3
 1987 09  6831.3
 1987 08  827.5
 1987 07  4630.3
 1987 06  5031·6
 1987 05  2435·2
 1987 04  5736.5
 1987 03  533.6
 1987 02  8730.2
 1987 01  1327.9
 1986 12 4031·0
 1986 11 4227.7
 1986 10 1530.1
 1986 09 533.5
 1986 08 5633.9
 1986 07 8727.3
 1986 06 9931.9
 1986 05 9434.8
 1986 04 3033·9
 1986 03 9933·8
 1986 02 2631·6
 1986 01 9829·3
 1985 12  1327.5
 1985 11  5727·8
 1985 10  930.7
 1985 09  6331.7
 1985 08  8028.7
 1985 07  7029.3
 1985 06  8634.6
 1985 05  5636·3
 1985 04  3237·4
 1985 03  6836.6
 1985 02  2032·2
 1985 01  7330.0
 1984 12 9431·9
 1984 11 833·7
 1984 10 9832.0
 1984 09 3232.9
 1984 08 1733.7
 1984 07 7336·7
 1984 06 3440.6
 1984 05 7845.9
 1984 04 7645.3
 1984 03 6737.4
 1984 02 6540·1
 1984 01 7938.5
 1983 12  7038.3
 1983 11  2439.9
 1983 10  5542.1
 1983 09  3141.0
 1983 08  2740.0
 1983 07  044.9
 1983 06  9148.2
 1983 05  5153·0
 1983 04  9553.9
 1983 03  7648·4
 1983 02  8544.9
 1983 01  8442.9
 1982 12 5141.0
 1982 11 5940·8
 1982 10 7736·3
 1982 09 036.0
 1982 08 9538.4
 1982 07 8135.1
 1982 06 2938.9
 1982 05 9240·4
 1982 04 5238.8
 1982 03 9835·2
 1982 02 2931·8
 1982 01 8027.2
 1981 12  7226·9
 1981 11  9229·2
 1981 10  8930·4
 1981 09  730.3
 1981 08  3229·6
 1981 07  7031·7
 1981 06  4837·7
 1981 05  4339.1
 1981 04  3138.2
 1981 03  6334.0
 1981 02  6836·7
 1981 01  8234·7
 1980 12 9535.2
 1980 11 2835·7
 1980 10 3833.2
 1980 09 4434.0
 1980 08 7329·8
 1980 07 4626·8
 1980 06 7028.1
 1980 05 7129.7
 1980 04 4331·2
 1980 03 2528.5
 1980 02 224·5
 1980 01 3424.6
 1979 12  322.7
 1979 11  9519.0
 1979 10  9723·5
 1979 09  2625.2
 1979 08  8021·5
 1979 07  1420·2
 1979 06  4324·0
 1979 05  6731.7
 1979 04  2329.3
 1979 03  6328.8
 1979 02  5323·1
 1979 01  122.9
 1978 12 921.6
 1978 11 4924.8
 1978 10 6427·9
 1978 09 9728.0
 1978 08 3725.7
 1978 07 325·2
 1978 06 4031·0
 1978 05 4836.7
 1978 04 3333.3
 1978 03 8232·9
 1978 02 6932·3
 1978 01 7531.1
 1977 12  4731.1
 1977 11  6833·8
 1977 10  6337.4
 1977 09  2235.9
 1977 08  5533·1
 1977 07  6735·2
 1977 06  6035·5
 1977 05  5743·3
 1977 04  5746·7
 1977 03  1239·6
 1977 02  2335.6
 1977 01  7432.7
 1976 12 7937·4
 1976 11 5736·4
 1976 10 4037·2
 1976 09 9437.8
 1976 08 7038·6
 1976 07 8642·4
 1976 06 2546.9
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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: Percent of Total Job Losers 20 years and over, Women 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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