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 Series Title: Percent of Total Job Losers 16-19 years Unemployed 15 Weeks and over: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 1228.6
 2012 03 8423·9
 2012 02 6819·8
 2012 01 6721·5
 2011 12  827.6
 2011 11  2025·2
 2011 10  3426.8
 2011 09  1030·8
 2011 08  9122·3
 2011 07  7427.4
 2011 06  2031·5
 2011 05  7132·3
 2011 04  834.1
 2011 03  2736.0
 2011 02  3830·1
 2011 01  9325·2
 2010 12 3731.1
 2010 11 8614·7
 2010 10 2727.3
 2010 09 4523·4
 2010 08 7619·1
 2010 07 8134.1
 2010 06 4932.4
 2010 05 2331.5
 2010 04 5325·7
 2010 03 7026·4
 2010 02 9226.0
 2010 01 4421·8
 2009 12  1622.6
 2009 11  3523.9
 2009 10  6920.5
 2009 09  5419.6
 2009 08  4226·1
 2009 07  8223.2
 2009 06  1924·6
 2009 05  2128·8
 2009 04  3034.0
 2009 03  4226·7
 2009 02  326.4
 2009 01  3925.1
 2008 12 720·7
 2008 11 7317.9
 2008 10 1022·5
 2008 09 2810·6
 2008 08 234.5
 2008 07 5610.7
 2008 06 5312·0
 2008 05 3120.1
 2008 04 5221·9
 2008 03 9723.5
 2008 02 6920·4
 2008 01 185·7
 2007 12  966.0
 2007 11  298·5
 2007 10  2211.1
 2007 09  847.5
 2007 08  807.9
 2007 07  817·1
 2007 06  9912·4
 2007 05  4611.0
 2007 04  5420.0
 2007 03  1514.0
 2007 02  1316·1
 2007 01  507.3
 2006 12 939·2
 2006 11 578.8
 2006 10 313.2
 2006 09 6414.1
 2006 08 9813·1
 2006 07 6613·3
 2006 06 3012·4
 2006 05 8212·5
 2006 04 9516·9
 2006 03 9917.5
 2006 02 8420.4
 2006 01 248.7
 2005 12  3313.4
 2005 11  3711·2
 2005 10  765.8
 2005 09  347.0
 2005 08  893·6
 2005 07  863.7
 2005 06  458.0
 2005 05  818·5
 2005 04  6212·9
 2005 03  7917.0
 2005 02  5312·7
 2005 01  597·9
 2004 12 783·7
 2004 11 726.1
 2004 10 8910·3
 2004 09 8711.3
 2004 08 8710.7
 2004 07 466.0
 2004 06 656.7
 2004 05 1011·2
 2004 04 657.3
 2004 03 926.5
 2004 02 2012·5
 2004 01 9617.0
 2003 12  123.7
 2003 11  926.6
 2003 10  1613·9
 2003 09  4012.2
 2003 08  539.5
 2003 07  5116.4
 2003 06  4020·0
 2003 05  6022·1
 2003 04  3923·8
 2003 03  6917.6
 2003 02  712.9
 2003 01  211·6
 2002 12 4614.1
 2002 11 527.8
 2002 10 5312·8
 2002 09 3312·9
 2002 08 730·9
 2002 07 318.1
 2002 06 439·9
 2002 05 4915·4
 2002 04 4617.2
 2002 03 6324.2
 2002 02 6212·7
 2002 01 6813·8
 2001 12  166·7
 2001 11  306·8
 2001 10  264·7
 2001 09  3512·5
 2001 08  578.7
 2001 07  3810.4
 2001 06  702.9
 2001 05  188·1
 2001 04  7115·4
 2001 03  2016·9
 2001 02  598.8
 2001 01  120·9
 2000 12 825.4
 2000 11 316.3
 2000 10 8011·4
 2000 09 367.7
 2000 08 418·6
 2000 07 546·9
 2000 06 4612·3
 2000 05 346·1
 2000 04 249.9
 2000 03 944.1
 2000 02 956·3
 2000 01 753·5
 1999 12  303·7
 1999 11  852.3
 1999 10  901.9
 1999 09  532·3
 1999 08  855·3
 1999 07  8111.3
 1999 06  1912.0
 1999 05  887·5
 1999 04  4015·5
 1999 03  6516.6
 1999 02  9413.2
 1999 01  244·4
 1998 12 705·0
 1998 11 446.6
 1998 10 545.7
 1998 09 293·8
 1998 08 753·7
 1998 07 508.2
 1998 06 613.5
 1998 05 989.1
 1998 04 8111·0
 1998 03 3810·8
 1998 02 39.3
 1998 01 519.3
 1997 12  3913·0
 1997 11  9010·2
 1997 10  9425·2
 1997 09  3012·0
 1997 08  229.9
 1997 07  147.4
 1997 06  7113.1
 1997 05  615·9
 1997 04  3319·5
 1997 03  4011·9
 1997 02  969.1
 1997 01  727·4
 1996 12 9510.3
 1996 11 267.3
 1996 10 5911·2
 1996 09 488·8
 1996 08 6115·5
 1996 07 5312·4
 1996 06 719·6
 1996 05 7712.5
 1996 04 412.7
 1996 03 277·9
 1996 02 7110.6
 1996 01 309·7
 1995 12  267·8
 1995 11  817·0
 1995 10  216·9
 1995 09  997·1
 1995 08  529.7
 1995 07  715.0
 1995 06  107·1
 1995 05  514·9
 1995 04  3211·8
 1995 03  799·4
 1995 02  507·7
 1995 01  917·6
 1994 12 414·8
 1994 11 105·7
 1994 10 796·7
 1994 09 264·0
 1994 08 818·5
 1994 07 9811·7
 1994 06 6011·5
 1994 05 515·6
 1994 04 7617.6
 1994 03 9823.7
 1994 02 8212·3
 1994 01 4710·4
 1993 12  7717.3
 1993 11  9210·0
 1993 10  568.5
 1993 09  9522.5
 1993 08  599.0
 1993 07  878·3
 1993 06  2118·6
 1993 05  2023.9
 1993 04  2222·0
 1993 03  1523.5
 1993 02  3918·6
 1993 01  1516·2
 1992 12 9319.9
 1992 11 3220.7
 1992 10 9913.9
 1992 09 9916.0
 1992 08 2116·8
 1992 07 1918·4
 1992 06 1425·7
 1992 05 1628.1
 1992 04 8129.7
 1992 03 8426.7
 1992 02 2117.5
 1992 01 3620.0
 1991 12  7514.9
 1991 11  5819.2
 1991 10  8316·6
 1991 09  5311.1
 1991 08  2711.8
 1991 07  9717.5
 1991 06  8813·1
 1991 05  8518.1
 1991 04  8821.5
 1991 03  8419·2
 1991 02  4913.2
 1991 01  789·1
 1990 12 3410·7
 1990 11 2414.0
 1990 10 46.1
 1990 09 06.9
 1990 08 646·8
 1990 07 5112·0
 1990 06 168.0
 1990 05 4521·1
 1990 04 418·8
 1990 03 1914·2
 1990 02 7212.1
 1990 01 327·3
 1989 12  512·9
 1989 11  1110.9
 1989 10  867.0
 1989 09  64·3
 1989 08  428·5
 1989 07  345·6
 1989 06  9513.4
 1989 05  3615.5
 1989 04  1516·5
 1989 03  1917·8
 1989 02  6315.0
 1989 01  1511·7
 1988 12 499.0
 1988 11 234·7
 1988 10 776.6
 1988 09 637·8
 1988 08 9611.1
 1988 07 277·9
 1988 06 509·0
 1988 05 2516.6
 1988 04 3016·6
 1988 03 3815·1
 1988 02 2017·6
 1988 01 6910.3
 1987 12  5212.3
 1987 11  8816.8
 1987 10  507·5
 1987 09  895·4
 1987 08  877·5
 1987 07  3410·1
 1987 06  2824·0
 1987 05  523.8
 1987 04  8516.8
 1987 03  5612·5
 1987 02  6613.1
 1987 01  6011·2
 1986 12 2311.2
 1986 11 627.5
 1986 10 311.8
 1986 09 249·1
 1986 08 014·6
 1986 07 8313·5
 1986 06 225·0
 1986 05 9216.5
 1986 04 4224.5
 1986 03 7619.1
 1986 02 5011·7
 1986 01 8113·6
 1985 12  998.7
 1985 11  2210.1
 1985 10  6013.1
 1985 09  369·2
 1985 08  4710.3
 1985 07  298·6
 1985 06  7011·9
 1985 05  2715.0
 1985 04  8520·5
 1985 03  2818·5
 1985 02  4316.6
 1985 01  488.0
 1984 12 4012.4
 1984 11 7512.7
 1984 10 677.8
 1984 09 1712.2
 1984 08 6112.0
 1984 07 5210.2
 1984 06 5520.0
 1984 05 7929·0
 1984 04 2529·7
 1984 03 6620·8
 1984 02 4521·9
 1984 01 321·2
 1983 12  3122·2
 1983 11  4817·1
 1983 10  9917.1
 1983 09  8319·9
 1983 08  514.6
 1983 07  5619·4
 1983 06  523.3
 1983 05  3833·3
 1983 04  9829·1
 1983 03  7030·7
 1983 02  7729.0
 1983 01  1221·5
 1982 12 8424·6
 1982 11 9722.3
 1982 10 5321.6
 1982 09 7524.1
 1982 08 6420.8
 1982 07 6922.2
 1982 06 9427.2
 1982 05 2129.3
 1982 04 6430.2
 1982 03 4326.9
 1982 02 8917.5
 1982 01 6816.8
 1981 12  3314·1
 1981 11  011.1
 1981 10  5212.7
 1981 09  6211·7
 1981 08  4817.9
 1981 07  4717.3
 1981 06  1919.0
 1981 05  7022.3
 1981 04  833·9
 1981 03  1624.7
 1981 02  5421.0
 1981 01  8819·3
 1980 12 4019·6
 1980 11 6212.2
 1980 10 4417.1
 1980 09 3413·5
 1980 08 9218.5
 1980 07 6916.8
 1980 06 317·8
 1980 05 5322·4
 1980 04 4220·4
 1980 03 4214.6
 1980 02 6913·8
 1980 01 1311.5
 1979 12  899.9
 1979 11  1311·1
 1979 10  312.3
 1979 09  99·9
 1979 08  588·2
 1979 07  389·0
 1979 06  9510·4
 1979 05  6019.2
 1979 04  117.4
 1979 03  012.3
 1979 02  5711.9
 1979 01  911.8
 1978 12 9111.2
 1978 11 510·5
 1978 10 2711.6
 1978 09 2812·7
 1978 08 3116·1
 1978 07 859.9
 1978 06 6713.2
 1978 05 816.3
 1978 04 4423.0
 1978 03 9616·3
 1978 02 6719·3
 1978 01 7010.1
 1977 12  8311·1
 1977 11  204·4
 1977 10  3711·2
 1977 09  5711.0
 1977 08  2113.0
 1977 07  6315·7
 1977 06  1817.8
 1977 05  4031·3
 1977 04  5927.1
 1977 03  5824·2
 1977 02  7124.3
 1977 01  1117·0
 1976 12 2311·1
 1976 11 6118·4
 1976 10 8414.2
 1976 09 9013·9
 1976 08 6415·5
 1976 07 5317.9
 1976 06 7026.4
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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 Weeks and over: 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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