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 Series Title: Of Total Unemployed 25-34 years, 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 8317.1
 2012 03 1119.1
 2012 02 2617·4
 2012 01 9920·0
 2011 12  2720.3
 2011 11  516·0
 2011 10  3516.2
 2011 09  4619·6
 2011 08  4917·4
 2011 07  1016.6
 2011 06  5825.1
 2011 05  518·9
 2011 04  019·0
 2011 03  816.5
 2011 02  716·5
 2011 01  1922.2
 2010 12 5616.3
 2010 11 518·2
 2010 10 2019.0
 2010 09 5718·7
 2010 08 1719.7
 2010 07 3321·8
 2010 06 6116.3
 2010 05 1319.6
 2010 04 917.9
 2010 03 4818.6
 2010 02 1619.1
 2010 01 819·2
 2009 12  8118.4
 2009 11  3317·3
 2009 10  9921.7
 2009 09  8417.2
 2009 08  1021.2
 2009 07  9323·2
 2009 06  4825.6
 2009 05  1121.7
 2009 04  9523.7
 2009 03  6120·5
 2009 02  2624.4
 2009 01  8430.2
 2008 12 6228.2
 2008 11 9333.6
 2008 10 2031·5
 2008 09 2131·7
 2008 08 6133·5
 2008 07 7026.8
 2008 06 4336.0
 2008 05 6634·7
 2008 04 6833.6
 2008 03 031.5
 2008 02 3432·6
 2008 01 8834·8
 2007 12  8334.0
 2007 11  1440.3
 2007 10  5535.0
 2007 09  8335·2
 2007 08  3240.0
 2007 07  6936·3
 2007 06  9443.8
 2007 05  6839·1
 2007 04  6534·2
 2007 03  4633.4
 2007 02  6435·3
 2007 01  8833·2
 2006 12 5736·3
 2006 11 5233·0
 2006 10 342·4
 2006 09 1335·5
 2006 08 838.2
 2006 07 1840.8
 2006 06 7442·6
 2006 05 3638.9
 2006 04 4536.1
 2006 03 235·8
 2006 02 6432·7
 2006 01 7633.6
 2005 12  1733.2
 2005 11  8535·0
 2005 10  8733.9
 2005 09  7734·6
 2005 08  136·9
 2005 07  7333·6
 2005 06  8141·6
 2005 05  1033.6
 2005 04  9530·2
 2005 03  9834.5
 2005 02  735·3
 2005 01  6734·7
 2004 12 2630.4
 2004 11 1730.6
 2004 10 5533·8
 2004 09 6835·3
 2004 08 4430.3
 2004 07 1138·9
 2004 06 3734.1
 2004 05 5732·7
 2004 04 2531.6
 2004 03 8829.7
 2004 02 9133·0
 2004 01 432.5
 2003 12  6827·0
 2003 11  7828.5
 2003 10  8034·2
 2003 09  228.9
 2003 08  031.5
 2003 07  3830·3
 2003 06  9235.3
 2003 05  7038·5
 2003 04  7031·1
 2003 03  5129.3
 2003 02  3931.5
 2003 01  5332.9
 2002 12 5431.8
 2002 11 2232.4
 2002 10 6031.7
 2002 09 2038.6
 2002 08 5235·7
 2002 07 8337·8
 2002 06 1831·1
 2002 05 6532·7
 2002 04 9130.0
 2002 03 9233.9
 2002 02 034.1
 2002 01 738.3
 2001 12  1935·1
 2001 11  2842·4
 2001 10  1943·9
 2001 09  9139·7
 2001 08  1346·7
 2001 07  043·3
 2001 06  1345·8
 2001 05  8445·9
 2001 04  7349.3
 2001 03  3937·4
 2001 02  4548.1
 2001 01  8246·4
 2000 12 2442.1
 2000 11 241.6
 2000 10 345·7
 2000 09 446.3
 2000 08 1839·8
 2000 07 6948.8
 2000 06 049·8
 2000 05 9445·4
 2000 04 2841·5
 2000 03 4846·1
 2000 02 7443·5
 2000 01 2147.9
 1999 12  5540.7
 1999 11  7142.0
 1999 10  8738.8
 1999 09  7844.9
 1999 08  2640·4
 1999 07  9346.0
 1999 06  2754.4
 1999 05  8646.8
 1999 04  9044·9
 1999 03  9732·8
 1999 02  837·8
 1999 01  8846·9
 1998 12 2235.6
 1998 11 9037.9
 1998 10 6846.3
 1998 09 5436.0
 1998 08 2444·9
 1998 07 340.3
 1998 06 6842.7
 1998 05 7842·6
 1998 04 2041.7
 1998 03 9236.9
 1998 02 9737.0
 1998 01 7847.3
 1997 12  6137.3
 1997 11  3939·3
 1997 10  6941·7
 1997 09  9939.8
 1997 08  2237.5
 1997 07  5131·8
 1997 06  2035.2
 1997 05  1034.9
 1997 04  432.7
 1997 03  6034.2
 1997 02  1434.3
 1997 01  640·7
 1996 12 3232.6
 1996 11 2238.1
 1996 10 3832.4
 1996 09 439·8
 1996 08 5641.1
 1996 07 1939.3
 1996 06 644.5
 1996 05 5138.2
 1996 04 5234.9
 1996 03 5733·3
 1996 02 5531·4
 1996 01 1341.6
 1995 12  2129.5
 1995 11  6830.9
 1995 10  4939·3
 1995 09  8741·8
 1995 08  8740.3
 1995 07  935.2
 1995 06  7545·3
 1995 05  9130·5
 1995 04  033.6
 1995 03  6134.9
 1995 02  4633·7
 1995 01  6843.9
 1994 12 3830.8
 1994 11 3136·6
 1994 10 9929.3
 1994 09 8937·3
 1994 08 9935.8
 1994 07 5140·1
 1994 06 9938·8
 1994 05 4735·4
 1994 04 935·1
 1994 03 7730.3
 1994 02 3229·7
 1994 01 6237·7
 1993 12  1839.7
 1993 11  9239.0
 1993 10  1240·5
 1993 09  7739.8
 1993 08  338·0
 1993 07  039·4
 1993 06  7643.1
 1993 05  6238·1
 1993 04  6337.6
 1993 03  3538.6
 1993 02  8837.3
 1993 01  1139·1
 1992 12 2433·6
 1992 11 5339·8
 1992 10 3539·4
 1992 09 4340·4
 1992 08 3538.7
 1992 07 3539·0
 1992 06 3138·6
 1992 05 235.7
 1992 04 7436·4
 1992 03 8838.7
 1992 02 1235.2
 1992 01 5839·2
 1991 12  3938.9
 1991 11  4539.7
 1991 10  4243.7
 1991 09  450·0
 1991 08  5646.2
 1991 07  6047.2
 1991 06  945·1
 1991 05  5946.3
 1991 04  7641.0
 1991 03  1740·9
 1991 02  2646·1
 1991 01  6849.4
 1990 12 7443·9
 1990 11 2145.9
 1990 10 3147.0
 1990 09 149·2
 1990 08 5155.4
 1990 07 450.8
 1990 06 8650·7
 1990 05 5050.8
 1990 04 3147.5
 1990 03 2448.1
 1990 02 7947·3
 1990 01 3551.9
 1989 12  6648·0
 1989 11  6154·1
 1989 10  2455·8
 1989 09  156.1
 1989 08  3050.3
 1989 07  2248·7
 1989 06  5855·0
 1989 05  1654·9
 1989 04  2544·5
 1989 03  4046.2
 1989 02  4450·8
 1989 01  7450.3
 1988 12 7445·0
 1988 11 7049·9
 1988 10 7051·3
 1988 09 9658.5
 1988 08 3050.7
 1988 07 9449·6
 1988 06 4951.5
 1988 05 2446.1
 1988 04 6647·2
 1988 03 1842·6
 1988 02 1844.7
 1988 01 2849.9
 1987 12  8544·6
 1987 11  7646.0
 1987 10  4247·0
 1987 09  350.1
 1987 08  1042·3
 1987 07  2246·3
 1987 06  646.9
 1987 05  6647·5
 1987 04  9243·4
 1987 03  3940·2
 1987 02  2540·5
 1987 01  6344.4
 1986 12 840·4
 1986 11 3343·1
 1986 10 3743.4
 1986 09 6346·2
 1986 08 5646.3
 1986 07 3749·1
 1986 06 447·9
 1986 05 5942·0
 1986 04 6348·6
 1986 03 643·4
 1986 02 1342·9
 1986 01 7246·5
 1985 12  7940.5
 1985 11  2243.8
 1985 10  7948.8
 1985 09  4447·6
 1985 08  7947.9
 1985 07  9347.3
 1985 06  3949·8
 1985 05  4542.6
 1985 04  6442·6
 1985 03  4940.9
 1985 02  5541·4
 1985 01  7049.2
 1984 12 5939.7
 1984 11 4746.9
 1984 10 1748·2
 1984 09 3749.5
 1984 08 1548·1
 1984 07 6945·4
 1984 06 3539·0
 1984 05 9139·6
 1984 04 641.7
 1984 03 2137·0
 1984 02 4937·4
 1984 01 039.8
 1983 12  3338.4
 1983 11  3643.7
 1983 10  2241·4
 1983 09  5947.1
 1983 08  2340.2
 1983 07  6941.0
 1983 06  4040·6
 1983 05  8738·8
 1983 04  2430.5
 1983 03  334.3
 1983 02  1831.6
 1983 01  2835.7
 1982 12 1334.0
 1982 11 4435·9
 1982 10 9339·7
 1982 09 5243·6
 1982 08 8939.9
 1982 07 2441·3
 1982 06 2840·2
 1982 05 5236·9
 1982 04 7939·4
 1982 03 9939.6
 1982 02 1040.9
 1982 01 4750.1
 1981 12  3241.4
 1981 11  5144.8
 1981 10  5345·7
 1981 09  8251·9
 1981 08  2545.1
 1981 07  8642.0
 1981 06  9546·5
 1981 05  2641.2
 1981 04  5641·5
 1981 03  3739·5
 1981 02  9836·2
 1981 01  7347.2
 1980 12 5338.9
 1980 11 6042·7
 1980 10 5048.4
 1980 09 4245·8
 1980 08 6546·5
 1980 07 3644·9
 1980 06 6548·6
 1980 05 7748·6
 1980 04 6749·4
 1980 03 7346·3
 1980 02 8047.8
 1980 01 4851·0
 1979 12  6044.2
 1979 11  149·4
 1979 10  5851·7
 1979 09  4854·0
 1979 08  7050·7
 1979 07  7845.1
 1979 06  8752·6
 1979 05  9746.4
 1979 04  4648.1
 1979 03  8443·6
 1979 02  7950·5
 1979 01  3951·7
 1978 12 6446·9
 1978 11 2850.8
 1978 10 7348.8
 1978 09 4258.6
 1978 08 2548·4
 1978 07 4056·5
 1978 06 3250·7
 1978 05 249·4
 1978 04 5445.8
 1978 03 7743.5
 1978 02 4439·9
 1978 01 3748·8
 1977 12  145·1
 1977 11  2146.3
 1977 10  2050·9
 1977 09  9150·6
 1977 08  4244·3
 1977 07  7844.9
 1977 06  048.2
 1977 05  3436·9
 1977 04  7740·8
 1977 03  8039.0
 1977 02  4637.1
 1977 01  5938·7
 1976 12 3135.5
 1976 11 8338·2
 1976 10 4644·7
 1976 09 8650.6
 1976 08 5539.0
 1976 07 7040.5
 1976 06 1443.3
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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 25-34 years, 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

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