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 Series Title: Number Unemployed for Less than 5 Weeks 35-44 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 14180·
 2012 03 3122·
 2012 02 58159·
 2012 01 62221·
 2011 12  25152.
 2011 11  55154·
 2011 10  66143·
 2011 09  99200.
 2011 08  77215·
 2011 07  80187.
 2011 06  49239.
 2011 05  9225·
 2011 04  21170·
 2011 03  61105.
 2011 02  22142·
 2011 01  37184·
 2010 12 31205.
 2010 11 4162·
 2010 10 21190.
 2010 09 51227.
 2010 08 10168·
 2010 07 39220.
 2010 06 10221·
 2010 05 47167·
 2010 04 81146·
 2010 03 25181.
 2010 02 77196·
 2010 01 44220·
 2009 12  96228.
 2009 11  43183.
 2009 10  34240·
 2009 09  84194·
 2009 08  29198.
 2009 07  99257.
 2009 06  19273·
 2009 05  38223·
 2009 04  82209·
 2009 03  25215·
 2009 02  95193.
 2009 01  0321.
 2008 12 79221.
 2008 11 77231.
 2008 10 50217·
 2008 09 88195.
 2008 08 70307.
 2008 07 38246.
 2008 06 97204·
 2008 05 48193.
 2008 04 32144·
 2008 03 13181.
 2008 02 74205.
 2008 01 47190.
 2007 12  65157.
 2007 11  35219·
 2007 10  44169·
 2007 09  81188.
 2007 08  94220·
 2007 07  60211·
 2007 06  94194·
 2007 05  68169.
 2007 04  69183·
 2007 03  70169·
 2007 02  38171.
 2007 01  53188.
 2006 12 66189·
 2006 11 72206.
 2006 10 13155.
 2006 09 4219·
 2006 08 85248·
 2006 07 96299·
 2006 06 82252·
 2006 05 16165·
 2006 04 51215·
 2006 03 0234.
 2006 02 34184.
 2006 01 8231·
 2005 12  16152.
 2005 11  66206·
 2005 10  80226.
 2005 09  24271·
 2005 08  54200.
 2005 07  99235·
 2005 06  60270·
 2005 05  33214·
 2005 04  66192.
 2005 03  33179·
 2005 02  35208.
 2005 01  29228·
 2004 12 77196.
 2004 11 22202·
 2004 10 94203·
 2004 09 32253·
 2004 08 37192·
 2004 07 49226.
 2004 06 50260·
 2004 05 86184.
 2004 04 22191.
 2004 03 21246.
 2004 02 40171.
 2004 01 59234·
 2003 12  33191·
 2003 11  70198·
 2003 10  28250·
 2003 09  46227.
 2003 08  95216.
 2003 07  51276.
 2003 06  0274.
 2003 05  66259.
 2003 04  57194·
 2003 03  46210·
 2003 02  72296·
 2003 01  64241.
 2002 12 96182.
 2002 11 63228.
 2002 10 79224.
 2002 09 7261·
 2002 08 12232.
 2002 07 32251.
 2002 06 85234·
 2002 05 92208.
 2002 04 30241.
 2002 03 11239.
 2002 02 78235.
 2002 01 35330·
 2001 12  1229.
 2001 11  81276.
 2001 10  70254.
 2001 09  83236.
 2001 08  0244·
 2001 07  48264.
 2001 06  1329·
 2001 05  3205·
 2001 04  27171.
 2001 03  45213·
 2001 02  31217·
 2001 01  91266.
 2000 12 9182·
 2000 11 28184.
 2000 10 51153·
 2000 09 64240.
 2000 08 94267·
 2000 07 78278.
 2000 06 71289.
 2000 05 68224.
 2000 04 59199·
 2000 03 3279·
 2000 02 31230·
 2000 01 72269.
 1999 12  4193.
 1999 11  34194·
 1999 10  93265.
 1999 09  69264·
 1999 08  55298.
 1999 07  27231.
 1999 06  44298.
 1999 05  78217·
 1999 04  61260.
 1999 03  64194.
 1999 02  99186·
 1999 01  45229·
 1998 12 98205·
 1998 11 52248.
 1998 10 94237.
 1998 09 37256·
 1998 08 67276.
 1998 07 22274.
 1998 06 93252·
 1998 05 50238.
 1998 04 93257·
 1998 03 32263·
 1998 02 84270.
 1998 01 2313.
 1997 12  27270·
 1997 11  62229.
 1997 10  79263.
 1997 09  37233·
 1997 08  43251·
 1997 07  20242·
 1997 06  16259·
 1997 05  25220.
 1997 04  42172.
 1997 03  37210.
 1997 02  59207.
 1997 01  60278.
 1996 12 50219.
 1996 11 69261.
 1996 10 94260.
 1996 09 60248·
 1996 08 16242.
 1996 07 99245.
 1996 06 36307.
 1996 05 71230·
 1996 04 17181·
 1996 03 33190·
 1996 02 21252·
 1996 01 61303·
 1995 12  53178.
 1995 11  2186.
 1995 10  13289.
 1995 09  24280·
 1995 08  49282·
 1995 07  63300·
 1995 06  0302.
 1995 05  79206.
 1995 04  55220.
 1995 03  99227·
 1995 02  95213·
 1995 01  71241·
 1994 12 47210·
 1994 11 14226.
 1994 10 35236·
 1994 09 68307·
 1994 08 25267·
 1994 07 42289.
 1994 06 83271·
 1994 05 66199.
 1994 04 16153·
 1994 03 39234·
 1994 02 27196.
 1994 01 82358.
 1993 12  68267·
 1993 11  86305·
 1993 10  81292·
 1993 09  62287.
 1993 08  57289·
 1993 07  90292·
 1993 06  81267·
 1993 05  73252·
 1993 04  84266.
 1993 03  83205·
 1993 02  92243.
 1993 01  12320.
 1992 12 75292·
 1992 11 21257.
 1992 10 0231.
 1992 09 95323·
 1992 08 79360.
 1992 07 87346·
 1992 06 19300·
 1992 05 69278·
 1992 04 72231·
 1992 03 85264.
 1992 02 86216.
 1992 01 1275.
 1991 12  55218.
 1991 11  50248.
 1991 10  65229·
 1991 09  86292·
 1991 08  52312·
 1991 07  36270·
 1991 06  44304.
 1991 05  43266.
 1991 04  14310.
 1991 03  25285.
 1991 02  34281.
 1991 01  17337·
 1990 12 17247·
 1990 11 25273·
 1990 10 75256.
 1990 09 76297.
 1990 08 61311·
 1990 07 66301.
 1990 06 28271·
 1990 05 14217.
 1990 04 72236·
 1990 03 7240·
 1990 02 83258·
 1990 01 51257·
 1989 12  99229.
 1989 11  27244.
 1989 10  51256.
 1989 09  31335.
 1989 08  18309·
 1989 07  34271·
 1989 06  71226·
 1989 05  23241·
 1989 04  30229·
 1989 03  59203.
 1989 02  6264·
 1989 01  21220·
 1988 12 59209.
 1988 11 59258.
 1988 10 43281·
 1988 09 44270·
 1988 08 57300.
 1988 07 16241·
 1988 06 96239·
 1988 05 37207.
 1988 04 99207.
 1988 03 36188·
 1988 02 1235·
 1988 01 68294.
 1987 12  84202.
 1987 11  52240.
 1987 10  23325·
 1987 09  31350·
 1987 08  39311·
 1987 07  19275.
 1987 06  49235·
 1987 05  47207.
 1987 04  14203·
 1987 03  19262.
 1987 02  92229.
 1987 01  58241.
 1986 12 84194.
 1986 11 59242.
 1986 10 90267.
 1986 09 34299.
 1986 08 50269·
 1986 07 70243·
 1986 06 5255·
 1986 05 70259.
 1986 04 37243·
 1986 03 10261.
 1986 02 26234·
 1986 01 84258·
 1985 12  95195·
 1985 11  59244·
 1985 10  65247.
 1985 09  21325.
 1985 08  0326.
 1985 07  25262·
 1985 06  61267.
 1985 05  49245·
 1985 04  53220·
 1985 03  39273·
 1985 02  76227.
 1985 01  63296.
 1984 12 78202.
 1984 11 58230.
 1984 10 98296·
 1984 09 81327·
 1984 08 25304·
 1984 07 63234·
 1984 06 41244.
 1984 05 49225·
 1984 04 72177.
 1984 03 61223.
 1984 02 41207.
 1984 01 35252·
 1983 12  17222·
 1983 11  83199.
 1983 10  62229·
 1983 09  34276·
 1983 08  86244.
 1983 07  87232·
 1983 06  92233.
 1983 05  64203·
 1983 04  29178·
 1983 03  54225·
 1983 02  43284·
 1983 01  69256.
 1982 12 23245.
 1982 11 90281.
 1982 10 54231.
 1982 09 19312·
 1982 08 67256·
 1982 07 28253.
 1982 06 87184.
 1982 05 9242.
 1982 04 87231.
 1982 03 24235·
 1982 02 31242·
 1982 01 56285.
 1981 12  32201·
 1981 11  58281·
 1981 10  98268·
 1981 09  5282.
 1981 08  79240.
 1981 07  40207·
 1981 06  25196·
 1981 05  26169.
 1981 04  29168·
 1981 03  98175·
 1981 02  77155·
 1981 01  12232.
 1980 12 5165·
 1980 11 92192.
 1980 10 41220.
 1980 09 83239·
 1980 08 59213·
 1980 07 1226·
 1980 06 29195.
 1980 05 82170·
 1980 04 66179.
 1980 03 33194.
 1980 02 80201.
 1980 01 80218.
 1979 12  27164·
 1979 11  19162.
 1979 10  57195·
 1979 09  69219.
 1979 08  66238·
 1979 07  16167·
 1979 06  47175.
 1979 05  69159.
 1979 04  35154.
 1979 03  6164.
 1979 02  63181·
 1979 01  25214·
 1978 12 8161·
 1978 11 95187·
 1978 10 43199·
 1978 09 6228·
 1978 08 86207.
 1978 07 15215·
 1978 06 51177.
 1978 05 5182.
 1978 04 95117·
 1978 03 23153.
 1978 02 73165·
 1978 01 41194.
 1977 12  84136.
 1977 11  0205·
 1977 10  24205.
 1977 09  60241.
 1977 08  30196.
 1977 07  52182·
 1977 06  40183.
 1977 05  29149·
 1977 04  32164·
 1977 03  12149·
 1977 02  84156·
 1977 01  44171·
 1976 12 17131·
 1976 11 36156·
 1976 10 46174.
 1976 09 23226·
 1976 08 33173.
 1976 07 6179·
 1976 06 36130·
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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 35-44 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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