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 Series Title: Percent of Total Job Losers 16-19 years Unemployed 15-26 Weeks: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 3915.4
 2012 03 388.9
 2012 02 746.8
 2012 01 508.5
 2011 12  936·1
 2011 11  315.8
 2011 10  966.4
 2011 09  4916.0
 2011 08  3111.8
 2011 07  416.7
 2011 06  3811·3
 2011 05  668·3
 2011 04  515·4
 2011 03  5015.5
 2011 02  1314.5
 2011 01  4411.0
 2010 12 8915·8
 2010 11 659·6
 2010 10 5814·8
 2010 09 536.3
 2010 08 854·6
 2010 07 1712·4
 2010 06 3611·2
 2010 05 8713·4
 2010 04 1811·6
 2010 03 6213.7
 2010 02 3511.9
 2010 01 6413·4
 2009 12  388.2
 2009 11  8310.2
 2009 10  695.8
 2009 09  3010.6
 2009 08  209.9
 2009 07  868.3
 2009 06  759·9
 2009 05  5314.1
 2009 04  6518.1
 2009 03  314·1
 2009 02  1515·3
 2009 01  2811·1
 2008 12 9813·1
 2008 11 9011·9
 2008 10 7816.6
 2008 09 736.1
 2008 08 691·3
 2008 07 296·7
 2008 06 771.6
 2008 05 327·6
 2008 04 5510.9
 2008 03 2717·4
 2008 02 5011·1
 2008 01 760·6
 2007 12  553·4
 2007 11  154·6
 2007 10  595.7
 2007 09  977.5
 2007 08  955.6
 2007 07  4910·6
 2007 06  927.1
 2007 05  168·9
 2007 04  2515.7
 2007 03  1310·8
 2007 02  639.3
 2007 01  766·8
 2006 12 217·3
 2006 11 114·8
 2006 10 910.3
 2006 09 4612·2
 2006 08 822.5
 2006 07 774.6
 2006 06 924·7
 2006 05 211·6
 2006 04 355·9
 2006 03 6610.9
 2006 02 211.3
 2006 01 196.2
 2005 12  309·4
 2005 11  603·7
 2005 09  505·8
 2005 08  851.7
 2005 07  420·3
 2005 06  653·4
 2005 05  763·9
 2005 04  8910.5
 2005 03  7110·6
 2005 02  159·1
 2005 01  405.4
 2004 12 232.3
 2004 11 434.4
 2004 10 646·7
 2004 09 322.0
 2004 08 73.0
 2004 07 84·3
 2004 06 944·7
 2004 05 655.5
 2004 04 864.5
 2004 03 4219·8
 2004 02 147.0
 2004 01 768.1
 2003 12  282·4
 2003 11  465.6
 2003 10  5310.1
 2003 09  288.3
 2003 08  283.6
 2003 07  439.4
 2003 06  6816·9
 2003 05  915.5
 2003 04  514.8
 2003 03  8612·3
 2003 02  428·4
 2003 01  329·3
 2002 12 310·4
 2002 11 496·5
 2002 10 8110·2
 2002 09 3410·8
 2002 08 910·9
 2002 07 325.3
 2002 06 163.6
 2002 05 806·3
 2002 04 6312·3
 2002 03 6115.4
 2002 02 57.7
 2002 01 568·5
 2001 12  384·8
 2001 11  872·3
 2001 10  281.3
 2001 09  755.8
 2001 08  614.9
 2001 07  857.0
 2001 06  930·8
 2001 05  766·5
 2001 04  013.4
 2001 03  5512.6
 2001 02  311·5
 2001 01  210.4
 2000 12 511·6
 2000 11 225.0
 2000 10 986.0
 2000 09 992·6
 2000 08 313.4
 2000 07 382.9
 2000 06 779·4
 2000 05 214.0
 2000 04 857·2
 2000 03 764·1
 2000 02 742·2
 2000 01 263.5
 1999 12  823.7
 1999 11  392·3
 1999 10  201·8
 1999 09  781·7
 1999 08  173.1
 1999 07  516.2
 1999 06  7312·0
 1999 05  623·5
 1999 04  811.5
 1999 03  6214.4
 1999 02  1413.2
 1999 01  943.8
 1998 12 03.2
 1998 11 483.1
 1998 10 494.1
 1998 09 103·4
 1998 08 622·0
 1998 07 104.3
 1998 06 102.2
 1998 05 734·9
 1998 04 876·8
 1998 03 7210·8
 1998 02 559.3
 1998 01 725·4
 1997 12  9610·6
 1997 11  857·3
 1997 10  6317.2
 1997 09  199·6
 1997 08  317.3
 1997 07  253·6
 1997 06  437.4
 1997 05  5212.1
 1997 04  6313·5
 1997 03  929.9
 1997 02  266·4
 1997 01  333.5
 1996 12 8610·4
 1996 11 116·3
 1996 10 687.0
 1996 09 523·6
 1996 08 1811.6
 1996 07 328·4
 1996 06 512·3
 1996 05 216.7
 1996 04 48·8
 1996 03 326.4
 1996 02 826.1
 1996 01 775·6
 1995 12  125·0
 1995 11  104·7
 1995 10  922.4
 1995 09  833·6
 1995 08  386·8
 1995 07  922·8
 1995 06  382·6
 1995 05  2811·5
 1995 04  06·3
 1995 03  285·0
 1995 02  25·2
 1995 01  246·2
 1994 12 422·0
 1994 11 940·0
 1994 10 903.2
 1994 09 100.7
 1994 08 344·2
 1994 07 905.8
 1994 06 346.6
 1994 05 4813.0
 1994 04 6912·7
 1994 03 4117·6
 1994 02 908·1
 1994 01 254.8
 1993 12  6710.0
 1993 11  981·7
 1993 10  411·4
 1993 09  5515.2
 1993 08  724.7
 1993 07  364·3
 1993 06  9211·0
 1993 05  7715.2
 1993 04  5315.5
 1993 03  5617.7
 1993 02  769·8
 1993 01  518.8
 1992 12 411.9
 1992 11 8315.2
 1992 10 4910·2
 1992 09 6812·2
 1992 08 446·2
 1992 07 676.6
 1992 06 9211.6
 1992 05 3817.3
 1992 04 1725·1
 1992 03 8418.9
 1992 02 1312·6
 1992 01 214.8
 1991 12  948.5
 1991 11  3413·5
 1991 10  4313.2
 1991 09  204·9
 1991 08  679.4
 1991 07  4313.7
 1991 06  3912·4
 1991 05  8111.1
 1991 04  5510.4
 1991 03  6011.4
 1991 02  829.7
 1991 01  997·1
 1990 12 49.7
 1990 11 629·3
 1990 10 795·1
 1990 09 104.9
 1990 08 826·9
 1990 07 483.5
 1990 06 616.6
 1990 05 789.3
 1990 04 8312.1
 1990 03 4513.2
 1990 02 867·9
 1990 01 902·7
 1989 12  277·2
 1989 11  25.1
 1989 10  355.2
 1989 09  613·5
 1989 08  576·2
 1989 07  953.6
 1989 06  1411.0
 1989 05  2612·9
 1989 04  435·6
 1989 03  2412·2
 1989 02  5510.5
 1989 01  5010.1
 1988 12 797.5
 1988 11 153·7
 1988 10 156.2
 1988 09 215.6
 1988 08 834.4
 1988 07 171.8
 1988 06 754.6
 1988 05 5013·2
 1988 04 111·6
 1988 03 811.5
 1988 02 4312·8
 1988 01 769·0
 1987 12  111.2
 1987 11  8610.1
 1987 10  495.7
 1987 09  624·1
 1987 08  782.2
 1987 07  776·5
 1987 06  5018·8
 1987 05  9616.5
 1987 04  5013·1
 1987 03  327.8
 1987 02  2910.0
 1987 01  917.3
 1986 12 617.0
 1986 11 265·1
 1986 10 919·9
 1986 09 846.8
 1986 08 828·3
 1986 07 5911.5
 1986 06 6816·0
 1986 05 3910·2
 1986 04 519·6
 1986 03 5715.2
 1986 02 187.8
 1986 01 4311.3
 1985 12  517.0
 1985 11  715.1
 1985 10  216·6
 1985 09  95·2
 1985 08  634.2
 1985 07  744.0
 1985 06  849.3
 1985 05  768.5
 1985 04  1012·2
 1985 03  6915.0
 1985 02  3814·0
 1985 01  56.4
 1984 12 876·5
 1984 11 807·8
 1984 10 425.5
 1984 09 865·6
 1984 08 124.6
 1984 07 585·0
 1984 06 757.8
 1984 05 3014·0
 1984 04 3016·6
 1984 03 7813.4
 1984 02 4517.9
 1984 01 7614.2
 1983 12  1014.9
 1983 11  4012·6
 1983 10  849.8
 1983 09  8611·0
 1983 08  466.2
 1983 07  7112.5
 1983 06  489.2
 1983 05  4918·0
 1983 04  5816.7
 1983 03  1918·7
 1983 02  1817·1
 1983 01  7713.2
 1982 12 8916·4
 1982 11 6211.5
 1982 10 112.2
 1982 09 914·9
 1982 08 811.8
 1982 07 9813.6
 1982 06 3019.5
 1982 05 615·8
 1982 04 1021.4
 1982 03 5419.9
 1982 02 6013.7
 1982 01 5810·0
 1981 12  1410·3
 1981 11  805·7
 1981 10  738·3
 1981 09  777.8
 1981 08  639.8
 1981 07  519·3
 1981 06  7710.2
 1981 05  011.0
 1981 04  2821.3
 1981 03  6716.8
 1981 02  114.4
 1981 01  9114·7
 1980 12 213·9
 1980 11 558·2
 1980 10 412.9
 1980 09 388·4
 1980 08 411·3
 1980 07 6411.7
 1980 06 6713·3
 1980 05 5315.3
 1980 04 7913.5
 1980 03 709.4
 1980 02 9610·6
 1980 01 758·7
 1979 12  956·9
 1979 11  738·4
 1979 10  237.0
 1979 09  654·3
 1979 08  473.5
 1979 07  993.6
 1979 06  56·8
 1979 05  1316·4
 1979 04  5512.4
 1979 03  978·2
 1979 02  248.7
 1979 01  329·5
 1978 12 616.0
 1978 11 445.8
 1978 10 856·5
 1978 09 587·6
 1978 08 3511.1
 1978 07 406·8
 1978 06 219·5
 1978 05 5411·1
 1978 04 7216·2
 1978 03 1014·1
 1978 02 8815·5
 1978 01 109·0
 1977 12  907.9
 1977 11  41.7
 1977 10  686.2
 1977 09  374·3
 1977 08  347·7
 1977 07  999.4
 1977 06  6810·3
 1977 05  7421·8
 1977 04  7218.2
 1977 03  9314.7
 1977 02  1916·4
 1977 01  8310·1
 1976 12 07.1
 1976 11 1411·1
 1976 10 776.6
 1976 09 528·8
 1976 08 357.9
 1976 07 108.7
 1976 06 2617·5
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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 Job Losers 16-19 years Unemployed 15-26 Weeks: 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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