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 Series Title: Of Total Unemployed 20 years and over, Women, Percent Unemployed Less than 5 Weeks: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 8016·8
 2012 03 8216·8
 2012 02 5516·0
 2012 01 5221·2
 2011 12  5119.1
 2011 11  3016.6
 2011 10  7016·2
 2011 09  8219.7
 2011 08  5816·8
 2011 07  4619.1
 2011 06  5524·7
 2011 05  7918.8
 2011 04  4917.4
 2011 03  1014.1
 2011 02  2214.7
 2011 01  8821·1
 2010 12 216·3
 2010 11 3017.1
 2010 10 1016.6
 2010 09 7718.0
 2010 08 1617.6
 2010 07 3820.2
 2010 06 8220.0
 2010 05 4118·7
 2010 04 1615·6
 2010 03 8915·7
 2010 02 2416.8
 2010 01 020·6
 2009 12  5418·1
 2009 11  6515.9
 2009 10  5119.9
 2009 09  9617.6
 2009 08  419·1
 2009 07  7423·0
 2009 06  9924.5
 2009 05  022·2
 2009 04  6721·2
 2009 03  4621.4
 2009 02  3323.2
 2009 01  431.8
 2008 12 6824.9
 2008 11 3828·6
 2008 10 3928.3
 2008 09 3028.1
 2008 08 5831·6
 2008 07 3330.1
 2008 06 3135.0
 2008 05 2036.0
 2008 04 1128·9
 2008 03 3631·7
 2008 02 4733.3
 2008 01 4433·3
 2007 12  2933.2
 2007 11  7935·1
 2007 10  4931·7
 2007 09  9635.9
 2007 08  3735·0
 2007 07  2034·1
 2007 06  2542·5
 2007 05  9535.9
 2007 04  8533.4
 2007 03  3834·1
 2007 02  8833·3
 2007 01  8635·2
 2006 12 4932.0
 2006 11 4333.2
 2006 10 7736.1
 2006 09 3636.6
 2006 08 2832.6
 2006 07 6339·9
 2006 06 5444·4
 2006 05 4136.4
 2006 04 4934.5
 2006 03 5834·3
 2006 02 632·8
 2006 01 2035.5
 2005 12  6231.5
 2005 11  734.2
 2005 10  4834.2
 2005 09  1736·2
 2005 08  4230·6
 2005 07  1835.4
 2005 06  1641.0
 2005 05  136·1
 2005 04  8929.8
 2005 03  2329.0
 2005 02  7429.6
 2005 01  6533.3
 2004 12 2929.0
 2004 11 7829.4
 2004 10 932.9
 2004 09 3034·7
 2004 08 1228·1
 2004 07 6434·1
 2004 06 3435·0
 2004 05 4033.7
 2004 04 1430.0
 2004 03 8827.9
 2004 02 8827.6
 2004 01 6230·4
 2003 12  3625.7
 2003 11  8328.6
 2003 10  3329.3
 2003 09  9330·5
 2003 08  130·7
 2003 07  430.7
 2003 06  5734·9
 2003 05  5036.9
 2003 04  6229·5
 2003 03  3427.9
 2003 02  7329.5
 2003 01  7833.3
 2002 12 9229·5
 2002 11 7829·8
 2002 10 1831·9
 2002 09 4635.0
 2002 08 9432.2
 2002 07 6933·9
 2002 06 5735·5
 2002 05 4932·5
 2002 04 9130.8
 2002 03 6231.5
 2002 02 7633.3
 2002 01 539.4
 2001 12  3533.6
 2001 11  4138·3
 2001 10  8839·0
 2001 09  5839·0
 2001 08  140.8
 2001 07  1143·6
 2001 06  3250·5
 2001 05  7845.0
 2001 04  8843·4
 2001 03  536·1
 2001 02  7042·0
 2001 01  5944·1
 2000 12 2439·5
 2000 11 7842·8
 2000 10 9142.1
 2000 09 1942.7
 2000 08 5740.3
 2000 07 1244·8
 2000 06 652·9
 2000 05 445·7
 2000 04 6440·3
 2000 03 1443.0
 2000 02 5442·6
 2000 01 8246.5
 1999 12  4442.4
 1999 11  1643.2
 1999 10  9844·1
 1999 09  4745·8
 1999 08  2441·4
 1999 07  7444.0
 1999 06  2649.9
 1999 05  1943.8
 1999 04  5341·6
 1999 03  7036·1
 1999 02  5135.6
 1999 01  4144·1
 1998 12 736.3
 1998 11 1140.8
 1998 10 943.2
 1998 09 8340·7
 1998 08 8741.5
 1998 07 2841.4
 1998 06 6645.9
 1998 05 3942·9
 1998 04 1741.6
 1998 03 7838.2
 1998 02 738·5
 1998 01 2845.8
 1997 12  4837.6
 1997 11  4238.3
 1997 10  4740·1
 1997 09  9437·9
 1997 08  5637.0
 1997 07  2734.6
 1997 06  2338·5
 1997 05  736·9
 1997 04  4130·8
 1997 03  6634.4
 1997 02  9831·9
 1997 01  5941·6
 1996 12 2832·3
 1996 11 1337·7
 1996 10 6033.6
 1996 09 7237.4
 1996 08 6734.3
 1996 07 5239.4
 1996 06 2144.6
 1996 05 8840·0
 1996 04 3531.2
 1996 03 8828·3
 1996 02 2031.8
 1996 01 7741.2
 1995 12  3129.5
 1995 11  5433·4
 1995 10  2038.0
 1995 09  3440.1
 1995 08  8137.6
 1995 07  537·0
 1995 06  844·5
 1995 05  7634·7
 1995 04  3533·4
 1995 03  2432·5
 1995 02  9732·5
 1995 01  4941.1
 1994 12 6931.6
 1994 11 1834.1
 1994 10 2532·1
 1994 09 2136·5
 1994 08 8333.3
 1994 07 1738.0
 1994 06 5639·8
 1994 05 8635·9
 1994 04 230.8
 1994 03 7928.9
 1994 02 7627.8
 1994 01 6540.2
 1993 12  7735·8
 1993 11  8536·3
 1993 10  037.0
 1993 09  038.3
 1993 08  8336.0
 1993 07  4239.0
 1993 06  6440.1
 1993 05  6139·0
 1993 04  2137·1
 1993 03  8133.9
 1993 02  3235·5
 1993 01  4338·3
 1992 12 1633·4
 1992 11 5936·4
 1992 10 9135·7
 1992 09 6438·5
 1992 08 1837.8
 1992 07 5838·2
 1992 06 5540.3
 1992 05 6838·2
 1992 04 333·9
 1992 03 8534·2
 1992 02 6132.5
 1992 01 2438.5
 1991 12  7136.4
 1991 11  7039·6
 1991 10  7241.2
 1991 09  2846.7
 1991 08  4742.2
 1991 07  7242·5
 1991 06  7646·6
 1991 05  9745·7
 1991 04  8340.0
 1991 03  7039.0
 1991 02  8643.8
 1991 01  7646·9
 1990 12 5242.7
 1990 11 7245.5
 1990 10 4147.1
 1990 09 3548·6
 1990 08 5751.3
 1990 07 1047.9
 1990 06 251.5
 1990 05 6648·5
 1990 04 2147·1
 1990 03 4146.5
 1990 02 5748.2
 1990 01 9152.5
 1989 12  9647.0
 1989 11  4552·8
 1989 10  2053.2
 1989 09  5155·6
 1989 08  5750·9
 1989 07  2950·3
 1989 06  2954·3
 1989 05  1851.5
 1989 04  446·4
 1989 03  2646·2
 1989 02  4649.6
 1989 01  8448.3
 1988 12 6344·0
 1988 11 9150.9
 1988 10 5951·7
 1988 09 6956·5
 1988 08 8449.3
 1988 07 749.6
 1988 06 8254.4
 1988 05 1748.1
 1988 04 4247·4
 1988 03 8040·5
 1988 02 5143·0
 1988 01 9850.7
 1987 12  3843·6
 1987 11  4246.9
 1987 10  3047·4
 1987 09  551.3
 1987 08  9747.1
 1987 07  4949.1
 1987 06  749·0
 1987 05  5747.3
 1987 04  7042.9
 1987 03  8341·4
 1987 02  9540·5
 1987 01  9946.4
 1986 12 3239·2
 1986 11 5043.1
 1986 10 3145·3
 1986 09 047.0
 1986 08 8444·9
 1986 07 8343·8
 1986 06 7947·8
 1986 05 5443.0
 1986 04 5043.3
 1986 03 3840.7
 1986 02 2641·4
 1986 01 8047.2
 1985 12  8139.8
 1985 11  9644.8
 1985 10  8546.1
 1985 09  2248.9
 1985 08  5346.3
 1985 07  6546.1
 1985 06  9448.4
 1985 05  5043·7
 1985 04  6542·6
 1985 03  7542.4
 1985 02  1740·2
 1985 01  5747·1
 1984 12 4436.4
 1984 11 8442.9
 1984 10 4045·7
 1984 09 6346·2
 1984 08 4045.6
 1984 07 7344.0
 1984 06 7743·8
 1984 05 1241.5
 1984 04 2839.7
 1984 03 4836·9
 1984 02 6637·2
 1984 01 7240.7
 1983 12  839.6
 1983 11  4241·7
 1983 10  6941·0
 1983 09  3945·2
 1983 08  739.6
 1983 07  1138·4
 1983 06  7540·5
 1983 05  3136.9
 1983 04  7331·9
 1983 03  3732.1
 1983 02  9634.2
 1983 01  9237·4
 1982 12 8433.9
 1982 11 2635·9
 1982 10 7138.1
 1982 09 9243·1
 1982 08 3839·8
 1982 07 1040·3
 1982 06 6140.1
 1982 05 2439.7
 1982 04 6239·4
 1982 03 4638.2
 1982 02 5637·8
 1982 01 848·1
 1981 12  639.9
 1981 11  1545·4
 1981 10  6846.2
 1981 09  8849·4
 1981 08  4443.7
 1981 07  2344.9
 1981 06  3446·6
 1981 05  3442.8
 1981 04  7939.5
 1981 03  441.1
 1981 02  1837.8
 1981 01  3847·2
 1980 12 3538.4
 1980 11 1241·2
 1980 10 847·1
 1980 09 2147·7
 1980 08 6245·4
 1980 07 3044·4
 1980 06 1649.8
 1980 05 2647.9
 1980 04 3546·2
 1980 03 6546.7
 1980 02 8145.9
 1980 01 2352.4
 1979 12  5742·4
 1979 11  4749·8
 1979 10  6450.5
 1979 09  653·3
 1979 08  5052·5
 1979 07  3549·2
 1979 06  5555.6
 1979 05  9348.5
 1979 04  6746·2
 1979 03  943.6
 1979 02  6646.8
 1979 01  3048·3
 1978 12 8245·0
 1978 11 7549·9
 1978 10 3548.2
 1978 09 8555.5
 1978 08 9547·5
 1978 07 6751·8
 1978 06 2551.7
 1978 05 5249·6
 1978 04 3343.1
 1978 03 3942·8
 1978 02 2442.5
 1978 01 5046·0
 1977 12  4640.1
 1977 11  7544.5
 1977 10  4445.8
 1977 09  2547·8
 1977 08  841.3
 1977 07  8042.4
 1977 06  2348·2
 1977 05  4440.9
 1977 04  2141.3
 1977 03  8737·9
 1977 02  2638·7
 1977 01  143·0
 1976 12 935.2
 1976 11 5137·4
 1976 10 3842.5
 1976 09 1749.3
 1976 08 2440.2
 1976 07 5442.0
 1976 06 7342·3
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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, Women, Percent Unemployed Less than 5 Weeks: 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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