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 Series Title: Of Total Unemployed 20 years and over, Women, Percent who are New Entrants: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 805·3
 2012 03 785.0
 2012 02 364.7
 2012 01 655·6
 2011 12  975·2
 2011 11  685·0
 2011 10  135·1
 2011 09  25·6
 2011 08  815.1
 2011 07  565·3
 2011 06  915.1
 2011 05  375·1
 2011 04  815.2
 2011 03  254.9
 2011 02  835·1
 2011 01  164·6
 2010 12 744.4
 2010 11 804·7
 2010 10 274.4
 2010 09 65.1
 2010 08 594.9
 2010 07 544.0
 2010 06 854.6
 2010 05 23·6
 2010 04 623.7
 2010 03 23·8
 2010 02 453.3
 2010 01 243·4
 2009 12  344.0
 2009 11  84.6
 2009 10  213.8
 2009 09  154.5
 2009 08  484.2
 2009 07  773.9
 2009 06  504·2
 2009 05  443.2
 2009 04  83·3
 2009 03  402.8
 2009 02  963.8
 2009 01  62.8
 2008 12 363·0
 2008 11 564.1
 2008 10 454.6
 2008 09 204·2
 2008 08 844.2
 2008 07 45·0
 2008 06 114.5
 2008 05 305.1
 2008 04 283.7
 2008 03 924·6
 2008 02 323.6
 2008 01 54·8
 2007 12  674·4
 2007 11  524.6
 2007 10  715·1
 2007 09  394.4
 2007 08  283.5
 2007 07  403·1
 2007 06  163.8
 2007 05  523·9
 2007 04  593·4
 2007 03  384·3
 2007 02  782.8
 2007 01  874·1
 2006 12 383·7
 2006 11 534·4
 2006 10 983·7
 2006 09 134·2
 2006 08 644.3
 2006 07 153.9
 2006 06 364.8
 2006 05 253.4
 2006 04 623.7
 2006 03 823·3
 2006 02 822·6
 2006 01 432.9
 2005 12  833.4
 2005 11  352.9
 2005 10  483·2
 2005 09  93.7
 2005 08  33·3
 2005 07  824.1
 2005 06  713·6
 2005 05  933·8
 2005 04  213.8
 2005 03  532.8
 2005 02  163.4
 2005 01  902.2
 2004 12 643.8
 2004 11 53·5
 2004 10 695.1
 2004 09 195·2
 2004 08 814.9
 2004 07 213·8
 2004 06 444·2
 2004 05 234.3
 2004 04 484·0
 2004 03 63·7
 2004 02 783.5
 2004 01 714·0
 2003 12  654.7
 2003 11  923·8
 2003 10  353.9
 2003 09  594·8
 2003 08  585.4
 2003 07  354·3
 2003 06  23·2
 2003 05  43.5
 2003 04  772.8
 2003 03  193·3
 2003 02  923.6
 2003 01  523.6
 2002 12 983·4
 2002 11 483.6
 2002 10 433.0
 2002 09 713·0
 2002 08 213·5
 2002 07 563.2
 2002 06 194·0
 2002 05 562.6
 2002 04 712.5
 2002 03 972·7
 2002 02 62.9
 2002 01 253.7
 2001 12  983·1
 2001 11  553.2
 2001 10  172·6
 2001 09  233.2
 2001 08  793.8
 2001 07  352.6
 2001 06  923·4
 2001 05  195.0
 2001 04  134.4
 2001 03  703.2
 2001 02  923.3
 2001 01  75.3
 2000 12 254·7
 2000 11 164.0
 2000 10 53.7
 2000 09 63·2
 2000 08 683·5
 2000 07 544·6
 2000 06 453·1
 2000 05 603·0
 2000 04 144.2
 2000 03 923.8
 2000 02 493.3
 2000 01 392·4
 1999 12  662·8
 1999 11  604.0
 1999 10  804.5
 1999 09  365·2
 1999 08  484.3
 1999 07  164.6
 1999 06  253·5
 1999 05  715.0
 1999 04  113.9
 1999 03  413.7
 1999 02  994.9
 1999 01  883·8
 1998 12 304·3
 1998 11 423·4
 1998 10 393.1
 1998 09 563.4
 1998 08 63·3
 1998 07 515.0
 1998 06 74·7
 1998 05 693·3
 1998 04 635·1
 1998 03 233·6
 1998 02 924·5
 1998 01 464·2
 1997 12  534.3
 1997 11  414·1
 1997 10  65.3
 1997 09  324.9
 1997 08  513·9
 1997 07  125.7
 1997 06  875.6
 1997 05  965·0
 1997 04  574·9
 1997 03  675·7
 1997 02  994·9
 1997 01  314·1
 1996 12 964·9
 1996 11 624·0
 1996 10 284·7
 1996 09 564.1
 1996 08 204·0
 1996 07 805·0
 1996 06 895.3
 1996 05 174·3
 1996 04 23·8
 1996 03 264.3
 1996 02 194.0
 1996 01 823·5
 1995 12  444·3
 1995 11  333·7
 1995 10  804.4
 1995 09  463.3
 1995 08  722·9
 1995 07  584·1
 1995 06  613.7
 1995 05  263.6
 1995 04  354·2
 1995 03  813·6
 1995 02  753·6
 1995 01  694.3
 1994 12 83·3
 1994 11 94.2
 1994 10 594.9
 1994 09 425·7
 1994 08 934.2
 1994 07 754.7
 1994 06 764.1
 1994 05 404·7
 1994 04 153.9
 1994 03 352·9
 1994 02 153·1
 1994 01 812.8
 1993 12  245.1
 1993 11  705·0
 1993 10  875·2
 1993 09  115·6
 1993 08  955.0
 1993 07  877·7
 1993 06  326.1
 1993 05  985·6
 1993 04  294·3
 1993 03  184.6
 1993 02  124·9
 1993 01  375.1
 1992 12 515.5
 1992 11 195.6
 1992 10 144.9
 1992 09 465·9
 1992 08 125·4
 1992 07 725.8
 1992 06 526.8
 1992 05 706.4
 1992 04 874.4
 1992 03 844·2
 1992 02 644·4
 1992 01 773·8
 1991 12  763.7
 1991 11  864.8
 1991 10  126·1
 1991 09  635·0
 1991 08  54.8
 1991 07  357·2
 1991 06  846.9
 1991 05  467·2
 1991 04  245.6
 1991 03  123·9
 1991 02  944.7
 1991 01  703.7
 1990 12 95.0
 1990 11 254·8
 1990 10 796·3
 1990 09 45·4
 1990 08 594·6
 1990 07 46.0
 1990 06 16.5
 1990 05 436.5
 1990 04 15.6
 1990 03 75.4
 1990 02 506·2
 1990 01 55.5
 1989 12  854.0
 1989 11  155·8
 1989 10  386·1
 1989 09  355.3
 1989 08  865.2
 1989 07  356·0
 1989 06  27·5
 1989 05  36.1
 1989 04  45·7
 1989 03  985·6
 1989 02  56.6
 1989 01  15·4
 1988 12 655.6
 1988 11 616.8
 1988 10 375·8
 1988 09 496.0
 1988 08 207.2
 1988 07 66.4
 1988 06 88.9
 1988 05 928.1
 1988 04 438·1
 1988 03 396.2
 1988 02 586.8
 1988 01 995.5
 1987 12  356.8
 1987 11  925·6
 1987 10  497.8
 1987 09  637.2
 1987 08  227·5
 1987 07  226.4
 1987 06  698.1
 1987 05  48.0
 1987 04  537·7
 1987 03  107.4
 1987 02  316·0
 1987 01  657·4
 1986 12 56·3
 1986 11 636.7
 1986 10 736·2
 1986 09 177.6
 1986 08 786·9
 1986 07 126·9
 1986 06 578·5
 1986 05 537.7
 1986 04 967·0
 1986 03 155·9
 1986 02 735·8
 1986 01 936·3
 1985 12  116·8
 1985 11  527·1
 1985 10  318·2
 1985 09  806·8
 1985 08  988·4
 1985 07  317·2
 1985 06  718·6
 1985 05  838.2
 1985 04  576·7
 1985 03  836.7
 1985 02  556.2
 1985 01  976.2
 1984 12 135.7
 1984 11 647.5
 1984 10 727.9
 1984 09 427.3
 1984 08 187·7
 1984 07 576.8
 1984 06 337.6
 1984 05 607.5
 1984 04 457.8
 1984 03 685·9
 1984 02 776·7
 1984 01 216.5
 1983 12  975.6
 1983 11  296·4
 1983 10  685.5
 1983 09  207·4
 1983 08  985.7
 1983 07  956·3
 1983 06  926.8
 1983 05  755.6
 1983 04  986·0
 1983 03  504.8
 1983 02  625.5
 1983 01  314.7
 1982 12 733·8
 1982 11 04.4
 1982 10 175·8
 1982 09 575.9
 1982 08 245.5
 1982 07 755.5
 1982 06 206.5
 1982 05 466·0
 1982 04 754·8
 1982 03 334.9
 1982 02 575.2
 1982 01 195.6
 1981 12  784.3
 1981 11  564·8
 1981 10  436·1
 1981 09  195.2
 1981 08  65·2
 1981 07  505.9
 1981 06  155.8
 1981 05  155·6
 1981 04  624.3
 1981 03  475.3
 1981 02  364.9
 1981 01  15·3
 1980 12 703.7
 1980 11 34·7
 1980 10 944·8
 1980 09 974·8
 1980 08 814.9
 1980 07 05.9
 1980 06 16·6
 1980 05 476·0
 1980 04 705.4
 1980 03 455·8
 1980 02 965.7
 1980 01 205.9
 1979 12  377.5
 1979 11  696·6
 1979 10  426·2
 1979 09  107·0
 1979 08  87.0
 1979 07  296.0
 1979 06  267·3
 1979 05  366.2
 1979 04  335·5
 1979 03  75.8
 1979 02  626·2
 1979 01  425.2
 1978 12 885.9
 1978 11 96·5
 1978 10 866·8
 1978 09 986·7
 1978 08 736·8
 1978 07 675·6
 1978 06 636·1
 1978 05 977·1
 1978 04 136.0
 1978 03 385·1
 1978 02 795.4
 1978 01 594.6
 1977 12  604·5
 1977 11  25.3
 1977 10  495.6
 1977 09  286·8
 1977 08  876.2
 1977 07  686·0
 1977 06  96·6
 1977 05  735.6
 1977 04  965.9
 1977 03  654.6
 1977 02  234·8
 1977 01  884·2
 1976 12 115.2
 1976 11 524·4
 1976 10 785.3
 1976 09 926·7
 1976 08 855.4
 1976 07 104.3
 1976 06 885.5
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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 who are New Entrants: 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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