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 Series Title: Number Unemployed for Less than 5 Weeks 16-19 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 39151.
 2012 03 85174.
 2012 02 41155.
 2012 01 86156·
 2011 12  22104·
 2011 11  51138.
 2011 10  80175·
 2011 09  46189.
 2011 08  64173·
 2011 07  9264.
 2011 06  14416.
 2011 05  98187.
 2011 04  17172·
 2011 03  41139·
 2011 02  55177·
 2011 01  87196·
 2010 12 56136·
 2010 11 54150.
 2010 10 42194·
 2010 09 81224.
 2010 08 82183·
 2010 07 79234.
 2010 06 37423·
 2010 05 76321.
 2010 04 18183.
 2010 03 72143·
 2010 02 29161·
 2010 01 89205.
 2009 12  17161.
 2009 11  16179·
 2009 10  29205.
 2009 09  65204·
 2009 08  54226.
 2009 07  17300·
 2009 06  76489.
 2009 05  74274·
 2009 04  28191.
 2009 03  7147.
 2009 02  34170.
 2009 01  9203·
 2008 12 65183·
 2008 11 42181.
 2008 10 89179·
 2008 09 90209.
 2008 08 16256.
 2008 07 4337.
 2008 06 55470·
 2008 05 60297·
 2008 04 56178·
 2008 03 0140.
 2008 02 69183·
 2008 01 89201.
 2007 12  86182.
 2007 11  61197.
 2007 10  95182.
 2007 09  71219·
 2007 08  30206.
 2007 07  44278.
 2007 06  20416·
 2007 05  25244.
 2007 04  39190·
 2007 03  30152·
 2007 02  57173·
 2007 01  96218.
 2006 12 89184.
 2006 11 27206.
 2006 10 45227.
 2006 09 51246·
 2006 08 80254·
 2006 07 65289·
 2006 06 45437·
 2006 05 87208.
 2006 04 37199·
 2006 03 2233·
 2006 02 47181.
 2006 01 21192.
 2005 12  11179.
 2005 11  19286·
 2005 10  62258·
 2005 09  97252·
 2005 08  77266.
 2005 07  23276.
 2005 06  29413·
 2005 05  86345·
 2005 04  36246.
 2005 03  45205.
 2005 02  10208·
 2005 01  81218.
 2004 12 12157·
 2004 11 43215·
 2004 10 94191·
 2004 09 1242.
 2004 08 57232·
 2004 07 96331.
 2004 06 94461·
 2004 05 90279.
 2004 04 45211.
 2004 03 14168·
 2004 02 46217.
 2004 01 18220·
 2003 12  78159.
 2003 11  26196.
 2003 10  15221.
 2003 09  79180.
 2003 08  80195.
 2003 07  89294·
 2003 06  88552.
 2003 05  91316.
 2003 04  2183.
 2003 03  86214.
 2003 02  78223.
 2003 01  99268.
 2002 12 19172·
 2002 11 23239·
 2002 10 22239.
 2002 09 73247·
 2002 08 31231.
 2002 07 32328.
 2002 06 84475.
 2002 05 5306.
 2002 04 65240·
 2002 03 68265.
 2002 02 52211.
 2002 01 16271.
 2001 12  70210·
 2001 11  14239·
 2001 10  38228·
 2001 09  49254·
 2001 08  22255.
 2001 07  77328.
 2001 06  81494·
 2001 05  74264·
 2001 04  21230.
 2001 03  88266·
 2001 02  43235·
 2001 01  85243·
 2000 12 93173·
 2000 11 3245·
 2000 10 12257·
 2000 09 1276.
 2000 08 88258·
 2000 07 5316.
 2000 06 1384.
 2000 05 66280·
 2000 04 81205·
 2000 03 0290.
 2000 02 48251.
 2000 01 48239.
 1999 12  73195·
 1999 11  20269.
 1999 10  16250·
 1999 09  44305.
 1999 08  89250.
 1999 07  21354.
 1999 06  93494·
 1999 05  70306·
 1999 04  79238.
 1999 03  84221·
 1999 02  91247.
 1999 01  73288·
 1998 12 20177·
 1998 11 18221·
 1998 10 49328.
 1998 09 20275·
 1998 08 10265.
 1998 07 52320·
 1998 06 29468.
 1998 05 6343.
 1998 04 77214·
 1998 03 44220·
 1998 02 20240.
 1998 01 50223·
 1997 12  70195·
 1997 11  76245.
 1997 10  33205.
 1997 09  96285.
 1997 08  64221.
 1997 07  54390·
 1997 06  8480.
 1997 05  14369·
 1997 04  60219.
 1997 03  10193.
 1997 02  7244.
 1997 01  97284·
 1996 12 83207·
 1996 11 0264·
 1996 10 17227·
 1996 09 64252·
 1996 08 84224.
 1996 07 6309.
 1996 06 52503.
 1996 05 61336·
 1996 04 38206·
 1996 03 35199.
 1996 02 50241.
 1996 01 55223·
 1995 12  45219·
 1995 11  18272·
 1995 10  74260·
 1995 09  41320.
 1995 08  32194·
 1995 07  12336·
 1995 06  10479·
 1995 05  39325·
 1995 04  47267.
 1995 03  99187.
 1995 02  74232.
 1995 01  91280.
 1994 12 67206.
 1994 11 85186.
 1994 10 1218.
 1994 09 69285·
 1994 08 92224·
 1994 07 2344.
 1994 06 55519.
 1994 05 64327·
 1994 04 48247.
 1994 03 6254·
 1994 02 25230·
 1994 01 98256·
 1993 12  84227.
 1993 11  80341.
 1993 10  22367.
 1993 09  13346.
 1993 08  77273.
 1993 07  29413·
 1993 06  85608.
 1993 05  80457·
 1993 04  26295·
 1993 03  86298·
 1993 02  76312.
 1993 01  91335.
 1992 12 57211.
 1992 11 7318·
 1992 10 84264·
 1992 09 67355.
 1992 08 20260·
 1992 07 74430·
 1992 06 22674·
 1992 05 51386.
 1992 04 91294·
 1992 03 93280.
 1992 02 27275·
 1992 01 13297.
 1991 12  71232.
 1991 11  96330.
 1991 10  62337.
 1991 09  46339·
 1991 08  84279·
 1991 07  40454·
 1991 06  15603.
 1991 05  71372·
 1991 04  80330.
 1991 03  6273·
 1991 02  99315.
 1991 01  30372.
 1990 12 36252.
 1990 11 1330.
 1990 10 52306.
 1990 09 94342.
 1990 08 52319.
 1990 07 56447·
 1990 06 37579.
 1990 05 55389·
 1990 04 53282·
 1990 03 29295.
 1990 02 41323.
 1990 01 35302·
 1989 12  89244·
 1989 11  1326.
 1989 10  79290·
 1989 09  75412·
 1989 08  36317.
 1989 07  78479·
 1989 06  86690.
 1989 05  47322·
 1989 04  95276.
 1989 03  92297·
 1989 02  27291.
 1989 01  43291.
 1988 12 90244.
 1988 11 0318·
 1988 10 89308.
 1988 09 83386.
 1988 08 72338·
 1988 07 83402.
 1988 06 85560.
 1988 05 12373·
 1988 04 17366.
 1988 03 49326.
 1988 02 53350·
 1988 01 97352.
 1987 12  24266.
 1987 11  28372·
 1987 10  56401·
 1987 09  34399·
 1987 08  20319.
 1987 07  78442·
 1987 06  82637·
 1987 05  42408.
 1987 04  54320.
 1987 03  79343.
 1987 02  43348·
 1987 01  64355.
 1986 12 2319·
 1986 11 39379·
 1986 10 78339.
 1986 09 70418.
 1986 08 65349.
 1986 07 90489.
 1986 06 50701·
 1986 05 54460·
 1986 04 67363.
 1986 03 87351.
 1986 02 46323.
 1986 01 35339.
 1985 12  60355.
 1985 11  13375·
 1985 10  79377.
 1985 09  57404.
 1985 08  18301·
 1985 07  74488.
 1985 06  87663·
 1985 05  90462·
 1985 04  42320·
 1985 03  2325.
 1985 02  33343.
 1985 01  27377·
 1984 12 57305·
 1984 11 53297.
 1984 10 5352·
 1984 09 88441·
 1984 08 14359.
 1984 07 10412·
 1984 06 16678.
 1984 05 17392.
 1984 04 89346.
 1984 03 78326.
 1984 02 4333.
 1984 01 83331·
 1983 12  80301.
 1983 11  90350.
 1983 10  31378·
 1983 09  79451·
 1983 08  15363.
 1983 07  1462.
 1983 06  86839·
 1983 05  26418.
 1983 04  43384·
 1983 03  95313.
 1983 02  81319.
 1983 01  68379·
 1982 12 40323·
 1982 11 76391.
 1982 10 54410.
 1982 09 72475·
 1982 08 5413·
 1982 07 78540.
 1982 06 69754·
 1982 05 35491.
 1982 04 65390.
 1982 03 56371·
 1982 02 12391.
 1982 01 74435.
 1981 12  70331.
 1981 11  92417·
 1981 10  97444.
 1981 09  34493.
 1981 08  96386.
 1981 07  94518·
 1981 06  63769·
 1981 05  85456.
 1981 04  42396·
 1981 03  92382·
 1981 02  71369.
 1981 01  19430.
 1980 12 33319.
 1980 11 43361·
 1980 10 9328.
 1980 09 57443.
 1980 08 22416·
 1980 07 28532.
 1980 06 91782.
 1980 05 42510·
 1980 04 82333.
 1980 03 55331.
 1980 02 55358·
 1980 01 44417.
 1979 12  14376.
 1979 11  56395·
 1979 10  62427·
 1979 09  57506·
 1979 08  44459.
 1979 07  86492.
 1979 06  2768·
 1979 05  0419.
 1979 04  22401.
 1979 03  27366.
 1979 02  87341·
 1979 01  16412·
 1978 12 23353.
 1978 11 86387.
 1978 10 55378.
 1978 09 76517·
 1978 08 49385.
 1978 07 95518.
 1978 06 68732.
 1978 05 73422·
 1978 04 23364.
 1978 03 11400.
 1978 02 16342.
 1978 01 27439·
 1977 12  96314.
 1977 11  14442.
 1977 10  10418.
 1977 09  81528·
 1977 08  45385.
 1977 07  12466.
 1977 06  88831·
 1977 05  6379.
 1977 04  69351.
 1977 03  35369.
 1977 02  14352.
 1977 01  94396·
 1976 12 94293.
 1976 11 42340.
 1976 10 75388.
 1976 09 65440·
 1976 08 70412.
 1976 07 14476.
 1976 06 84731.
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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 16-19 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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