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 Series Title: Number Unemployed for 27 Weeks and over 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 21523·
 2012 03 96481·
 2012 02 14522·
 2012 01 14559.
 2011 12  62580·
 2011 11  24596·
 2011 10  68670.
 2011 09  92713.
 2011 08  76645·
 2011 07  57688·
 2011 06  29599·
 2011 05  75559·
 2011 04  13571.
 2011 03  76514·
 2011 02  11542·
 2011 01  7525·
 2010 12 48576·
 2010 11 88578.
 2010 10 50601·
 2010 09 57615.
 2010 08 83579·
 2010 07 25630·
 2010 06 10578·
 2010 05 20631.
 2010 04 41608·
 2010 03 43522·
 2010 02 79455·
 2010 01 14535·
 2009 12  73463·
 2009 11  23481.
 2009 10  69550·
 2009 09  83510·
 2009 08  56492·
 2009 07  74480.
 2009 06  19382.
 2009 05  97377.
 2009 04  89318.
 2009 03  26242·
 2009 02  92209·
 2009 01  51209·
 2008 12 98165·
 2008 11 35202.
 2008 10 74222.
 2008 09 62177.
 2008 08 33204·
 2008 07 84163.
 2008 06 80132.
 2008 05 75148·
 2008 04 69137·
 2008 03 79124·
 2008 02 47107·
 2008 01 6093.
 2007 12  7108.
 2007 11  52129·
 2007 10  38104.
 2007 09  10115·
 2007 08  73125.
 2007 07  59128·
 2007 06  4094·
 2007 05  45119·
 2007 04  16138·
 2007 03  83135.
 2007 02  68127·
 2007 01  9126.
 2006 12 1295·
 2006 11 2977·
 2006 10 5885·
 2006 09 70120.
 2006 08 61102.
 2006 07 29115.
 2006 06 73123·
 2006 05 24146·
 2006 04 90135·
 2006 03 41137.
 2006 02 2132.
 2006 01 8892·
 2005 12  48131.
 2005 11  44140·
 2005 10  58150.
 2005 09  8163·
 2005 08  10151·
 2005 07  48156.
 2005 06  77114·
 2005 05  52149·
 2005 04  77151·
 2005 03  82102·
 2005 02  24119.
 2005 01  15142.
 2004 12 75148·
 2004 11 3149·
 2004 10 85135·
 2004 09 16162·
 2004 08 54134·
 2004 07 94134.
 2004 06 75142·
 2004 05 99127.
 2004 04 88143.
 2004 03 61166·
 2004 02 30146·
 2004 01 32167.
 2003 12  80171·
 2003 11  35166·
 2003 10  14180.
 2003 09  11200·
 2003 08  53186.
 2003 07  73180·
 2003 06  14175.
 2003 05  54138.
 2003 04  58144·
 2003 03  57165·
 2003 02  44164·
 2003 01  5170.
 2002 12 72180.
 2002 11 93158.
 2002 10 41163·
 2002 09 34177·
 2002 08 93170·
 2002 07 13145·
 2002 06 68168·
 2002 05 35153.
 2002 04 48137.
 2002 03 74122.
 2002 02 13106·
 2002 01 26105·
 2001 12  87121.
 2001 11  57102.
 2001 10  9097·
 2001 09  53102·
 2001 08  85108.
 2001 07  7083.
 2001 06  3577·
 2001 05  8462.
 2001 04  4365·
 2001 03  4279·
 2001 02  1260.
 2001 01  1370.
 2000 12 8652.
 2000 11 3270.
 2000 10 855·
 2000 09 5971.
 2000 08 6580·
 2000 07 2177.
 2000 06 3868.
 2000 05 6769·
 2000 04 5473·
 2000 03 1554.
 2000 02 3743.
 2000 01 565.
 1999 12  5580·
 1999 11  4775.
 1999 10  7070·
 1999 09  6986·
 1999 08  9267·
 1999 07  7268.
 1999 06  2454.
 1999 05  7682.
 1999 04  1687.
 1999 03  7395.
 1999 02  1370·
 1999 01  7290·
 1998 12 385.
 1998 11 5587.
 1998 10 73117.
 1998 09 25107.
 1998 08 5396.
 1998 07 5299.
 1998 06 6883·
 1998 05 2979·
 1998 04 9183·
 1998 03 1899·
 1998 02 8690·
 1998 01 494·
 1997 12  6774·
 1997 11  3771·
 1997 10  40130.
 1997 09  93143.
 1997 08  57116.
 1997 07  15156.
 1997 06  67131.
 1997 05  66105.
 1997 04  6289·
 1997 03  82108.
 1997 02  31147.
 1997 01  17128.
 1996 12 7123.
 1996 11 97131·
 1996 10 19128·
 1996 09 66131·
 1996 08 42169.
 1996 07 40168·
 1996 06 44152.
 1996 05 55162.
 1996 04 42116.
 1996 03 18140.
 1996 02 45145·
 1996 01 55134.
 1995 12  8140.
 1995 11  63118.
 1995 10  83116·
 1995 09  60117·
 1995 08  66122.
 1995 07  32135.
 1995 06  47126·
 1995 05  88138.
 1995 04  65178.
 1995 03  5147.
 1995 02  50128·
 1995 01  83150.
 1994 12 81174·
 1994 11 91171.
 1994 10 30173.
 1994 09 16166·
 1994 08 15157.
 1994 07 20147.
 1994 06 50159.
 1994 05 80160.
 1994 04 92176.
 1994 03 48185·
 1994 02 97221.
 1994 01 94215.
 1993 12  62160·
 1993 11  59160.
 1993 10  84155.
 1993 09  3168.
 1993 08  1201.
 1993 07  58198·
 1993 06  49152·
 1993 05  75162.
 1993 04  9128.
 1993 03  77165.
 1993 02  56206.
 1993 01  5215·
 1992 12 11210·
 1992 11 72226·
 1992 10 92247.
 1992 09 11244·
 1992 08 58234.
 1992 07 25231.
 1992 06 69200.
 1992 05 38197.
 1992 04 26199·
 1992 03 44182.
 1992 02 27168.
 1992 01 56165.
 1991 12  14159·
 1991 11  59141·
 1991 10  27113.
 1991 09  58112.
 1991 08  48141·
 1991 07  27106.
 1991 06  5782·
 1991 05  6363.
 1991 04  7976·
 1991 03  3076·
 1991 02  3294.
 1991 01  1597.
 1990 12 8167·
 1990 11 7479·
 1990 10 8773·
 1990 09 8466·
 1990 08 5668·
 1990 07 9254·
 1990 06 8765.
 1990 05 6460.
 1990 04 2865·
 1990 03 3957·
 1990 02 1975·
 1990 01 7473·
 1989 12  4855·
 1989 11  9856.
 1989 10  9659·
 1989 09  5854·
 1989 08  9170.
 1989 07  7472.
 1989 06  5669·
 1989 05  8572·
 1989 04  5866.
 1989 03  088·
 1989 02  6269.
 1989 01  4976·
 1988 12 7565·
 1988 11 3373.
 1988 10 176·
 1988 09 7074·
 1988 08 9180·
 1988 07 5370·
 1988 06 8863·
 1988 05 9275·
 1988 04 8288·
 1988 03 68102.
 1988 02 58112.
 1988 01 8390·
 1987 12  4888·
 1987 11  989.
 1987 10  7695.
 1987 09  3896.
 1987 08  15110.
 1987 07  33120.
 1987 06  3074·
 1987 05  76110.
 1987 04  33128.
 1987 03  22120·
 1987 02  31139.
 1987 01  42119.
 1986 12 77119.
 1986 11 81104.
 1986 10 19132.
 1986 09 4132.
 1986 08 49135·
 1986 07 43134.
 1986 06 55128·
 1986 05 56133.
 1986 04 72133.
 1986 03 65114·
 1986 02 29124·
 1986 01 17118·
 1985 12  99123.
 1985 11  28111·
 1985 10  52103·
 1985 09  33138·
 1985 08  3101·
 1985 07  38143.
 1985 06  63132.
 1985 05  71151·
 1985 04  86147·
 1985 03  28163.
 1985 02  24140.
 1985 01  27139.
 1984 12 73101.
 1984 11 54130.
 1984 10 23123·
 1984 09 18115.
 1984 08 13153.
 1984 07 97183·
 1984 06 74166·
 1984 05 90168.
 1984 04 84169·
 1984 03 65184.
 1984 02 15182.
 1984 01 11189·
 1983 12  84176·
 1983 11  89149·
 1983 10  7201.
 1983 09  76199.
 1983 08  40234.
 1983 07  25237.
 1983 06  39288·
 1983 05  4311.
 1983 04  2285.
 1983 03  55292.
 1983 02  24262.
 1983 01  39254·
 1982 12 45219·
 1982 11 86189·
 1982 10 0205.
 1982 09 49182.
 1982 08 70189.
 1982 07 49185·
 1982 06 29182·
 1982 05 30185·
 1982 04 1164.
 1982 03 2124.
 1982 02 1115.
 1982 01 0105.
 1981 12  90110·
 1981 11  2596.
 1981 10  26116.
 1981 09  391.
 1981 08  11107.
 1981 07  26131·
 1981 06  44106.
 1981 05  9121.
 1981 04  66101·
 1981 03  36130.
 1981 02  17128·
 1981 01  12135.
 1980 12 79102·
 1980 11 11107.
 1980 10 3397.
 1980 09 3078·
 1980 08 191.
 1980 07 3488.
 1980 06 577.
 1980 05 973.
 1980 04 858·
 1980 03 1057.
 1980 02 7148.
 1980 01 1658·
 1979 12  9948.
 1979 11  7338·
 1979 10  9343.
 1979 09  4753.
 1979 08  056.
 1979 07  7752·
 1979 06  6147·
 1979 05  2056.
 1979 04  6247.
 1979 03  572.
 1979 02  8652·
 1979 01  8064.
 1978 12 5947.
 1978 11 6449.
 1978 10 661.
 1978 09 9665·
 1978 08 9372·
 1978 07 8574·
 1978 06 8586·
 1978 05 6178.
 1978 04 8969·
 1978 03 2585.
 1978 02 1084.
 1978 01 9688.
 1977 12  9674.
 1977 11  6583·
 1977 10  9484·
 1977 09  4394·
 1977 08  9175.
 1977 07  12105.
 1977 06  7589.
 1977 05  73116·
 1977 04  74127.
 1977 03  98134·
 1977 02  16127·
 1977 01  79110.
 1976 12 70120.
 1976 11 79110·
 1976 10 4105·
 1976 09 81118·
 1976 08 30145.
 1976 07 37142.
 1976 06 54134.
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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 27 Weeks and over 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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