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 Series Title: Percent of Total Reentrants 20 years and over, Women Unemployed 27 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 1244.2
 2012 03 4347.4
 2012 02 6845.8
 2012 01 2045.1
 2011 12  5845.7
 2011 11  4347.2
 2011 10  3643·5
 2011 09  2946·6
 2011 08  9649·9
 2011 07  6652·5
 2011 06  3046·5
 2011 05  6243.3
 2011 04  7546·5
 2011 03  9445.6
 2011 02  6346·3
 2011 01  6246.1
 2010 12 7151·2
 2010 11 3547·0
 2010 10 7241.2
 2010 09 040·3
 2010 08 8440.1
 2010 07 1843·2
 2010 06 2142·7
 2010 05 6945.3
 2010 04 4148·0
 2010 03 242·1
 2010 02 9836.1
 2010 01 8741.5
 2009 12  9140·9
 2009 11  6741·7
 2009 10  1537.0
 2009 09  139.5
 2009 08  935.1
 2009 07  2035·6
 2009 06  1030.2
 2009 05  7731.6
 2009 04  9732·7
 2009 03  9430·8
 2009 02  4628·8
 2009 01  1225·0
 2008 12 7930.7
 2008 11 4425·7
 2008 10 1129.2
 2008 09 2327·5
 2008 08 627.0
 2008 07 5224·8
 2008 06 1920.9
 2008 05 5521·9
 2008 04 5323.9
 2008 03 2523·7
 2008 02 624·9
 2008 01 7720.7
 2007 12  2122.5
 2007 11  9527·9
 2007 10  3622.7
 2007 09  8319.3
 2007 08  3421.1
 2007 07  1822.0
 2007 06  9620·0
 2007 05  9325.4
 2007 04  4526·3
 2007 03  7524.0
 2007 02  025.5
 2007 01  5023.3
 2006 12 2722·1
 2006 11 7421·2
 2006 10 8518.1
 2006 09 2424.9
 2006 08 8124.7
 2006 07 4621.3
 2006 06 1518·7
 2006 05 925.0
 2006 04 3320·0
 2006 03 4824·4
 2006 02 7624·6
 2006 01 2318·9
 2005 12  3222·1
 2005 11  6224·1
 2005 10  8323·0
 2005 09  1225.4
 2005 08  5623·1
 2005 07  9321·6
 2005 06  7318·1
 2005 05  4423.0
 2005 04  330·4
 2005 03  7421.9
 2005 02  822·8
 2005 01  1325.0
 2004 12 9926.1
 2004 11 6126.8
 2004 10 7826.9
 2004 09 3825·9
 2004 08 9424·0
 2004 07 3621.6
 2004 06 9320·9
 2004 05 6422·5
 2004 04 6527.3
 2004 03 525.6
 2004 02 9426.8
 2004 01 6022.2
 2003 12  1129·6
 2003 11  128.8
 2003 10  4122·6
 2003 09  2025·2
 2003 08  5725.6
 2003 07  8024·2
 2003 06  2520·8
 2003 05  6320.4
 2003 04  5522.1
 2003 03  2323·4
 2003 02  5624.4
 2003 01  3323·4
 2002 12 7925·8
 2002 11 3720.6
 2002 10 7319.8
 2002 09 019·4
 2002 08 3024·5
 2002 07 5421·0
 2002 06 3921·7
 2002 05 5623·5
 2002 04 3420.5
 2002 03 3120·6
 2002 02 4218.3
 2002 01 2314.1
 2001 12  4020.7
 2001 11  4819.2
 2001 10  9518·6
 2001 09  4318.5
 2001 08  2420.4
 2001 07  1315·9
 2001 06  3612·9
 2001 05  8614·7
 2001 04  8618.6
 2001 03  5815.9
 2001 02  2616·5
 2001 01  4614·1
 2000 12 5314.2
 2000 11 3813·2
 2000 10 5614.5
 2000 09 4214·3
 2000 08 7315·8
 2000 07 3714.6
 2000 06 3712·0
 2000 05 1913·8
 2000 04 2315.5
 2000 03 5911·7
 2000 02 68.5
 2000 01 4518.2
 1999 12  417·4
 1999 11  3713.9
 1999 10  2814·9
 1999 09  1514·2
 1999 08  3912.5
 1999 07  2813·7
 1999 06  9016.1
 1999 05  4717·0
 1999 04  8117·2
 1999 03  1318.4
 1999 02  516.6
 1999 01  8617.7
 1998 12 320.0
 1998 11 9818.9
 1998 10 1120.3
 1998 09 118·5
 1998 08 716.1
 1998 07 1719·3
 1998 06 7012·3
 1998 05 8717·8
 1998 04 1917.0
 1998 03 2415·3
 1998 02 7019·9
 1998 01 6118.9
 1997 12  8718.2
 1997 11  218.0
 1997 10  2622.1
 1997 09  6920·2
 1997 08  8818·0
 1997 07  5719.7
 1997 06  7317·6
 1997 05  8019.5
 1997 04  2317·4
 1997 03  2218.9
 1997 02  7618·4
 1997 01  8720·4
 1996 12 1623.4
 1996 11 5215·4
 1996 10 2116.6
 1996 09 1019·1
 1996 08 1721·8
 1996 07 2923.0
 1996 06 2321·1
 1996 05 9423.5
 1996 04 422·6
 1996 03 6022·9
 1996 02 1921·3
 1996 01 620·6
 1995 12  7424.9
 1995 11  7722·4
 1995 10  7118.0
 1995 09  4218.4
 1995 08  5518.8
 1995 07  3619.5
 1995 06  6817·1
 1995 05  2020.5
 1995 04  9722·4
 1995 03  1924.0
 1995 02  2320.2
 1995 01  8421.8
 1994 12 7422.7
 1994 11 3323·5
 1994 10 7323.7
 1994 09 422·0
 1994 08 8719.8
 1994 07 819·3
 1994 06 8118.5
 1994 05 7422.4
 1994 04 6325·9
 1994 03 322·2
 1994 02 3622.1
 1994 01 1320.4
 1993 12  5013.6
 1993 11  9713·3
 1993 10  4911.1
 1993 09  6613.5
 1993 08  2414.1
 1993 07  9912·9
 1993 06  6011·2
 1993 05  013.5
 1993 04  8713.5
 1993 03  4013.2
 1993 02  3113.2
 1993 01  1114.2
 1992 12 6312.6
 1992 11 7611·9
 1992 10 4912·8
 1992 09 1711.6
 1992 08 211·5
 1992 07 8911·4
 1992 06 2812·4
 1992 05 6313·9
 1992 04 8014·4
 1992 03 858.1
 1992 02 613.7
 1992 01 189.1
 1991 12  9812.2
 1991 11  9710.7
 1991 10  458·5
 1991 09  769·2
 1991 08  8011·1
 1991 07  817.7
 1991 06  337·1
 1991 05  568.0
 1991 04  788.1
 1991 03  188.7
 1991 02  849·1
 1991 01  28·1
 1990 12 669.4
 1990 11 158.3
 1990 10 357.6
 1990 09 845.0
 1990 08 456·8
 1990 07 46·7
 1990 06 496.6
 1990 05 9510.4
 1990 04 418.4
 1990 03 428·3
 1990 02 138.6
 1990 01 547.2
 1989 12  38·3
 1989 11  106·0
 1989 10  425·3
 1989 09  75.6
 1989 08  76·4
 1989 07  146·2
 1989 06  727.1
 1989 05  218·0
 1989 04  5410.2
 1989 03  8710.2
 1989 02  678.4
 1989 01  927·0
 1988 12 695.6
 1988 11 857.5
 1988 10 149·3
 1988 09 3810.0
 1988 08 26.5
 1988 07 908.1
 1988 06 277.4
 1988 05 37.2
 1988 04 2913·0
 1988 03 811·2
 1988 02 4310·8
 1988 01 5710·5
 1987 12  4910·3
 1987 11  719·6
 1987 10  258.1
 1987 09  937·7
 1987 08  9011·0
 1987 07  359·6
 1987 06  618·7
 1987 05  319·2
 1987 04  012.2
 1987 03  8310·5
 1987 02  649.1
 1987 01  158.5
 1986 12 5510.4
 1986 11 219·5
 1986 10 719·9
 1986 09 1410·8
 1986 08 5610·5
 1986 07 8011·0
 1986 06 478.9
 1986 05 2210.2
 1986 04 2810·3
 1986 03 1711·3
 1986 02 788·9
 1986 01 5910.7
 1985 12  2114·1
 1985 11  149·4
 1985 10  787·2
 1985 09  6810.7
 1985 08  129·3
 1985 07  7811.5
 1985 06  848.8
 1985 05  1910·9
 1985 04  9913·5
 1985 03  3913·4
 1985 02  5912·9
 1985 01  611.4
 1984 12 911·4
 1984 11 569.3
 1984 10 9111·0
 1984 09 4710·8
 1984 08 9211.4
 1984 07 812·4
 1984 06 9410.6
 1984 05 8811·6
 1984 04 2313·4
 1984 03 411·2
 1984 02 412·9
 1984 01 9614.1
 1983 12  49·8
 1983 11  7410·4
 1983 10  8513·0
 1983 09  6710·9
 1983 08  5813·5
 1983 07  7615·4
 1983 06  2514·0
 1983 05  2014·7
 1983 04  3716·9
 1983 03  9014·3
 1983 02  3713.4
 1983 01  9813.9
 1982 12 1512·0
 1982 11 2410·7
 1982 10 5812.0
 1982 09 719.0
 1982 08 949.2
 1982 07 109·1
 1982 06 5110·1
 1982 05 3310.7
 1982 04 9910.9
 1982 03 310·2
 1982 02 57·7
 1982 01 37·6
 1981 12  807·7
 1981 11  857.7
 1981 10  327·9
 1981 09  257.4
 1981 08  136.0
 1981 07  647.9
 1981 06  705.6
 1981 05  687·4
 1981 04  977·4
 1981 03  719·2
 1981 02  828·8
 1981 01  277·9
 1980 12 589.2
 1980 11 627.5
 1980 10 565·2
 1980 09 206.4
 1980 08 485.8
 1980 07 185.6
 1980 06 43·8
 1980 05 925·4
 1980 04 406·7
 1980 03 486·5
 1980 02 655.8
 1980 01 126·7
 1979 12  366.9
 1979 11  827.4
 1979 10  27.2
 1979 09  745·4
 1979 08  604·4
 1979 07  775·1
 1979 06  25.9
 1979 05  987·5
 1979 04  647.2
 1979 03  1510·6
 1979 02  786·1
 1979 01  267·7
 1978 12 226·5
 1978 11 16.7
 1978 10 698·0
 1978 09 296.8
 1978 08 366.8
 1978 07 696·9
 1978 06 367.6
 1978 05 17·9
 1978 04 3010.2
 1978 03 749.7
 1978 02 697.7
 1978 01 608·2
 1977 12  549·2
 1977 11  999.1
 1977 10  806.9
 1977 09  518.5
 1977 08  857·2
 1977 07  4911.0
 1977 06  66·6
 1977 05  4311.8
 1977 04  2210.9
 1977 03  569·8
 1977 02  116.2
 1977 01  306.9
 1976 12 9210.2
 1976 11 789·5
 1976 10 827.6
 1976 09 327·9
 1976 08 4311.5
 1976 07 9610.9
 1976 06 3310·5
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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.
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      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 Reentrants 20 years and over, Women Unemployed 27 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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