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 Series Title: Number Unemployed for Less than 5 Weeks 25-34 years, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 30202·
 2012 03 49240.
 2012 02 44226.
 2012 01 12275.
 2011 12  73275·
 2011 11  49217.
 2011 10  65234.
 2011 09  77294·
 2011 08  19258.
 2011 07  84247.
 2011 06  24353.
 2011 05  78249·
 2011 04  19253·
 2011 03  36219.
 2011 02  35224·
 2011 01  59297·
 2010 12 49223·
 2010 11 14269.
 2010 10 34273·
 2010 09 90260·
 2010 08 9287.
 2010 07 46321·
 2010 06 86224.
 2010 05 64280.
 2010 04 24246.
 2010 03 92239.
 2010 02 77243.
 2010 01 1262·
 2009 12  45236·
 2009 11  31230.
 2009 10  22323.
 2009 09  45238.
 2009 08  47310·
 2009 07  72334.
 2009 06  57338·
 2009 05  65282.
 2009 04  31274·
 2009 03  45240.
 2009 02  46277.
 2009 01  55329·
 2008 12 22264.
 2008 11 7317·
 2008 10 76295·
 2008 09 34274.
 2008 08 70317·
 2008 07 39218.
 2008 06 61299.
 2008 05 47251.
 2008 04 51246·
 2008 03 49248.
 2008 02 38225.
 2008 01 62265.
 2007 12  65227·
 2007 11  69267·
 2007 10  71232.
 2007 09  74270.
 2007 08  38285.
 2007 07  53289·
 2007 06  46304.
 2007 05  2252·
 2007 04  19216·
 2007 03  85215.
 2007 02  77231·
 2007 01  90239·
 2006 12 85223.
 2006 11 71208·
 2006 10 3286.
 2006 09 7282.
 2006 08 36271.
 2006 07 43306.
 2006 06 85298·
 2006 05 47266.
 2006 04 96255·
 2006 03 57271.
 2006 02 11243·
 2006 01 30258.
 2005 12  17269.
 2005 11  94292·
 2005 10  96254.
 2005 09  99297·
 2005 08  74320·
 2005 07  62301·
 2005 06  75367.
 2005 05  24252.
 2005 04  67225.
 2005 03  93273.
 2005 02  14275·
 2005 01  99290·
 2004 12 22231.
 2004 11 42255·
 2004 10 98273·
 2004 09 42268·
 2004 08 89258·
 2004 07 91355.
 2004 06 41279.
 2004 05 99230·
 2004 04 44233.
 2004 03 48244·
 2004 02 82250.
 2004 01 38285·
 2003 12  86224.
 2003 11  43236·
 2003 10  82286·
 2003 09  54256·
 2003 08  41286·
 2003 07  34271.
 2003 06  30321.
 2003 05  65329.
 2003 04  60255·
 2003 03  1243.
 2003 02  39275·
 2003 01  16289.
 2002 12 18274·
 2002 11 52263·
 2002 10 46249·
 2002 09 75332·
 2002 08 15347·
 2002 07 19334·
 2002 06 15257·
 2002 05 38287.
 2002 04 78260·
 2002 03 57277.
 2002 02 33311.
 2002 01 22354·
 2001 12  55320·
 2001 11  49390·
 2001 10  13354·
 2001 09  73294.
 2001 08  23373.
 2001 07  1313.
 2001 06  94332.
 2001 05  59303·
 2001 04  82311·
 2001 03  45235.
 2001 02  37323.
 2001 01  75320·
 2000 12 57230·
 2000 11 37244.
 2000 10 32251·
 2000 09 40280.
 2000 08 99294.
 2000 07 60339.
 2000 06 90307·
 2000 05 97273.
 2000 04 83230·
 2000 03 19269·
 2000 02 50240.
 2000 01 16301.
 1999 12  9231.
 1999 11  47255.
 1999 10  74221.
 1999 09  91303.
 1999 08  4261·
 1999 07  99349.
 1999 06  51360.
 1999 05  42283.
 1999 04  16277·
 1999 03  59226.
 1999 02  93272.
 1999 01  12343.
 1998 12 23211·
 1998 11 31247·
 1998 10 39358·
 1998 09 70278·
 1998 08 23335.
 1998 07 49291.
 1998 06 51320.
 1998 05 11298·
 1998 04 43263·
 1998 03 68294·
 1998 02 16270.
 1998 01 54364·
 1997 12  33222·
 1997 11  71263·
 1997 10  49318·
 1997 09  42331.
 1997 08  68320.
 1997 07  63283.
 1997 06  87285·
 1997 05  46267·
 1997 04  48240.
 1997 03  77282·
 1997 02  92315.
 1997 01  59384.
 1996 12 0272.
 1996 11 69324·
 1996 10 53271.
 1996 09 1352.
 1996 08 73377.
 1996 07 20365.
 1996 06 82350.
 1996 05 14320.
 1996 04 43273·
 1996 03 39264·
 1996 02 18275.
 1996 01 70382.
 1995 12  10215·
 1995 11  55254·
 1995 10  22343·
 1995 09  61385.
 1995 08  0373.
 1995 07  26316.
 1995 06  85413.
 1995 05  7243·
 1995 04  63313.
 1995 03  33304.
 1995 02  17294·
 1995 01  52444·
 1994 12 74242.
 1994 11 84328.
 1994 10 57269·
 1994 09 66361.
 1994 08 34354.
 1994 07 9371.
 1994 06 68358·
 1994 05 42298·
 1994 04 68351·
 1994 03 65322.
 1994 02 37321·
 1994 01 99399·
 1993 12  26397·
 1993 11  34370.
 1993 10  78417·
 1993 09  82457.
 1993 08  84407.
 1993 07  23434.
 1993 06  29456·
 1993 05  59366.
 1993 04  43376·
 1993 03  63413.
 1993 02  52410·
 1993 01  26471.
 1992 12 28381.
 1992 11 11473.
 1992 10 36459·
 1992 09 0489.
 1992 08 88486·
 1992 07 48470.
 1992 06 92458.
 1992 05 27381.
 1992 04 0396·
 1992 03 81457·
 1992 02 60415·
 1992 01 75479·
 1991 12  64418.
 1991 11  42422·
 1991 10  2494·
 1991 09  38573.
 1991 08  6551.
 1991 07  88501·
 1991 06  5475.
 1991 05  37474·
 1991 04  74389·
 1991 03  0416.
 1991 02  83499.
 1991 01  13524·
 1990 12 46398.
 1990 11 84442.
 1990 10 74430·
 1990 09 38467·
 1990 08 22519·
 1990 07 73464·
 1990 06 40426·
 1990 05 5450.
 1990 04 26382·
 1990 03 22420.
 1990 02 70450.
 1990 01 33459·
 1989 12  10413.
 1989 11  14461·
 1989 10  76510.
 1989 09  66542·
 1989 08  48495.
 1989 07  56483·
 1989 06  97491.
 1989 05  74513.
 1989 04  41351·
 1989 03  78387.
 1989 02  94446·
 1989 01  50446.
 1988 12 14354.
 1988 11 38432·
 1988 10 56474.
 1988 09 14571·
 1988 08 19483.
 1988 07 17455.
 1988 06 96453.
 1988 05 10371.
 1988 04 29373.
 1988 03 22367·
 1988 02 52423.
 1988 01 6479·
 1987 12  46387.
 1987 11  84414·
 1987 10  87412·
 1987 09  98495·
 1987 08  95421.
 1987 07  61453.
 1987 06  88413.
 1987 05  5443.
 1987 04  27408·
 1987 03  33405.
 1987 02  68435.
 1987 01  69480·
 1986 12 16384.
 1986 11 8470.
 1986 10 66476·
 1986 09 62546·
 1986 08 63553.
 1986 07 16542·
 1986 06 44518·
 1986 05 76441·
 1986 04 94522·
 1986 03 15493.
 1986 02 90506·
 1986 01 30487·
 1985 12  59394.
 1985 11  87476·
 1985 10  18552·
 1985 09  70572.
 1985 08  33558·
 1985 07  37533.
 1985 06  64533·
 1985 05  64453.
 1985 04  16452.
 1985 03  98433·
 1985 02  91459.
 1985 01  6553.
 1984 12 35359·
 1984 11 26462.
 1984 10 89514·
 1984 09 16531.
 1984 08 39545.
 1984 07 4499·
 1984 06 69380.
 1984 05 37392.
 1984 04 4434.
 1984 03 36417·
 1984 02 69417·
 1984 01 39445.
 1983 12  31419·
 1983 11  56492.
 1983 10  53505.
 1983 09  16602.
 1983 08  44518·
 1983 07  19512.
 1983 06  8524.
 1983 05  87471.
 1983 04  94366.
 1983 03  8452.
 1983 02  47425·
 1983 01  95515.
 1982 12 57442·
 1982 11 29481.
 1982 10 8556.
 1982 09 11608·
 1982 08 32532·
 1982 07 14551·
 1982 06 54492·
 1982 05 29435.
 1982 04 46449·
 1982 03 19446.
 1982 02 73444·
 1982 01 67547.
 1981 12  48415·
 1981 11  26472·
 1981 10  77500.
 1981 09  70544·
 1981 08  14470·
 1981 07  42436·
 1981 06  5432·
 1981 05  6404·
 1981 04  45370·
 1981 03  97363·
 1981 02  20347·
 1981 01  71482.
 1980 12 65348·
 1980 11 50382.
 1980 10 9491.
 1980 09 82425·
 1980 08 25472·
 1980 07 82423·
 1980 06 85429.
 1980 05 85395·
 1980 04 1407.
 1980 03 98367.
 1980 02 86405.
 1980 01 48402·
 1979 12  93302.
 1979 11  32366.
 1979 10  75409.
 1979 09  66422·
 1979 08  27422.
 1979 07  38344·
 1979 06  40384·
 1979 05  57297.
 1979 04  52326·
 1979 03  0310·
 1979 02  94410·
 1979 01  66419.
 1978 12 44324.
 1978 11 24367.
 1978 10 75351·
 1978 09 62480·
 1978 08 4399·
 1978 07 41460.
 1978 06 45351.
 1978 05 40328.
 1978 04 56311·
 1978 03 8308.
 1978 02 92278.
 1978 01 17360.
 1977 12  52316.
 1977 11  7355·
 1977 10  31405.
 1977 09  39432.
 1977 08  67363.
 1977 07  44355·
 1977 06  97357.
 1977 05  74241.
 1977 04  1312.
 1977 03  51310.
 1977 02  54320·
 1977 01  17321.
 1976 12 79266.
 1976 11 85305.
 1976 10 91379·
 1976 09 87475.
 1976 08 52348·
 1976 07 27345.
 1976 06 19318·
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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: Number Unemployed for Less than 5 Weeks 25-34 years, Women: 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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