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 Series Title: Of Total Unemployed 16-19 years Percent who are Job Leavers: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 113.9
 2012 03 643.9
 2012 02 742·5
 2012 01 694·2
 2011 12  24.7
 2011 11  263·6
 2011 10  975.5
 2011 09  06.2
 2011 08  34·1
 2011 07  303.5
 2011 06  641.6
 2011 05  732.7
 2011 04  653·0
 2011 03  583.3
 2011 02  893·4
 2011 01  333.6
 2010 12 633·8
 2010 11 172.4
 2010 10 93.3
 2010 09 493·9
 2010 08 963.4
 2010 07 382.0
 2010 06 882.0
 2010 05 143.2
 2010 04 922·7
 2010 03 781.8
 2010 02 132·8
 2010 01 492.5
 2009 12  992·4
 2009 11  182.8
 2009 10  973·1
 2009 09  963.1
 2009 08  944·0
 2009 07  653·6
 2009 06  782·7
 2009 05  264.2
 2009 04  774.8
 2009 03  514·5
 2009 02  194.2
 2009 01  324.6
 2008 12 735.8
 2008 11 327·5
 2008 10 77.0
 2008 09 348.5
 2008 08 336·1
 2008 07 903.9
 2008 06 574.5
 2008 05 756·3
 2008 04 319.8
 2008 03 325.5
 2008 02 55·8
 2008 01 256.7
 2007 12  696·9
 2007 11  893.9
 2007 10  146.5
 2007 09  786·9
 2007 08  726.9
 2007 07  186.8
 2007 06  735.4
 2007 05  547·6
 2007 04  906·2
 2007 03  16·6
 2007 02  947.8
 2007 01  956·5
 2006 12 997·2
 2006 11 436.5
 2006 10 158.9
 2006 09 728.4
 2006 08 988·0
 2006 07 784.3
 2006 06 995·5
 2006 05 784.7
 2006 04 147.9
 2006 03 617·7
 2006 02 348.7
 2006 01 337.7
 2005 12  968.8
 2005 11  746.9
 2005 10  3310.2
 2005 09  818.0
 2005 08  217.9
 2005 07  245·1
 2005 06  333.4
 2005 05  916.1
 2005 04  885.5
 2005 03  424·8
 2005 02  987.1
 2005 01  574.9
 2004 12 237·3
 2004 11 857.3
 2004 10 167·5
 2004 09 987.9
 2004 08 769·6
 2004 07 355·4
 2004 06 992·8
 2004 05 585.0
 2004 04 236.7
 2004 03 994.9
 2004 02 856·7
 2004 01 76·7
 2003 12  657·9
 2003 11  79.3
 2003 10  377.5
 2003 09  399·0
 2003 08  258·5
 2003 07  176.8
 2003 06  445·7
 2003 05  726·5
 2003 04  565·2
 2003 03  106.4
 2003 02  174·6
 2003 01  525.9
 2002 12 316.5
 2002 11 935·7
 2002 10 959.1
 2002 09 468·6
 2002 08 529·7
 2002 07 976.7
 2002 06 415.0
 2002 05 508.4
 2002 04 457.3
 2002 03 805.9
 2002 02 426·0
 2002 01 829·4
 2001 12  588·9
 2001 11  228·7
 2001 10  129.9
 2001 09  8610·1
 2001 08  6911·2
 2001 07  318.6
 2001 06  897·2
 2001 05  324.8
 2001 04  775.4
 2001 03  388.1
 2001 02  346·8
 2001 01  1410·7
 2000 12 79.1
 2000 11 998·4
 2000 10 3713·9
 2000 09 519.2
 2000 08 1011.0
 2000 07 9712·8
 2000 06 107.8
 2000 05 878.6
 2000 04 6213.2
 2000 03 388.9
 2000 02 908.2
 2000 01 9110·3
 1999 12  6310·3
 1999 11  5411·2
 1999 10  4211.5
 1999 09  5710.0
 1999 08  3715.9
 1999 07  18·1
 1999 06  529·6
 1999 05  59.4
 1999 04  368·6
 1999 03  618·4
 1999 02  349.4
 1999 01  797·1
 1998 12 356·4
 1998 11 408.7
 1998 10 257·0
 1998 09 4711·5
 1998 08 3510·2
 1998 07 717·8
 1998 06 894.4
 1998 05 46·0
 1998 04 603·9
 1998 03 96.9
 1998 02 137·6
 1998 01 695.9
 1997 12  616.6
 1997 11  378.9
 1997 10  1010.0
 1997 09  8614·2
 1997 08  1413.0
 1997 07  617·7
 1997 06  196·4
 1997 05  256.0
 1997 04  186.4
 1997 03  136·7
 1997 02  16.6
 1997 01  797.1
 1996 12 08·7
 1996 11 497.5
 1996 10 4510.5
 1996 09 689·5
 1996 08 107·8
 1996 07 514.9
 1996 06 644·7
 1996 05 354.5
 1996 04 226.0
 1996 03 268.9
 1996 02 955·7
 1996 01 516.7
 1995 12  389·7
 1995 11  69.4
 1995 10  28·1
 1995 09  88.0
 1995 08  838.7
 1995 07  466.6
 1995 06  734.3
 1995 05  277.0
 1995 04  78.6
 1995 03  299·0
 1995 02  197·6
 1995 01  505.5
 1994 12 864·5
 1994 11 617·1
 1994 10 806.8
 1994 09 4910.0
 1994 08 208·8
 1994 07 747·5
 1994 06 184·7
 1994 05 155.1
 1994 04 345·8
 1994 03 245.7
 1994 02 215.8
 1994 01 705·2
 1993 12  7912·9
 1993 11  9414·8
 1993 10  213.0
 1993 09  5713.9
 1993 08  3012.2
 1993 07  899·7
 1993 06  988.0
 1993 05  448·1
 1993 04  8810·4
 1993 03  4212·3
 1993 02  7410·5
 1993 01  2710·0
 1992 12 7711.1
 1992 11 912·1
 1992 10 1511·8
 1992 09 2311.7
 1992 08 4910.8
 1992 07 728·5
 1992 06 366.7
 1992 05 7911·9
 1992 04 7911·1
 1992 03 379.8
 1992 02 759.4
 1992 01 6212·8
 1991 12  6711·9
 1991 11  3615.3
 1991 10  9413·6
 1991 09  6613·4
 1991 08  3812·7
 1991 07  2611.6
 1991 06  8011.7
 1991 05  1213·2
 1991 04  4413·8
 1991 03  8815.5
 1991 02  4814·3
 1991 01  4213·6
 1990 12 5815·0
 1990 11 2915·0
 1990 10 3516.0
 1990 09 2717.5
 1990 08 8314·5
 1990 07 8113.7
 1990 06 310.5
 1990 05 6011·5
 1990 04 4218.1
 1990 03 015·3
 1990 02 4116·3
 1990 01 6017·7
 1989 12  8719·3
 1989 11  6819·9
 1989 10  6218.9
 1989 09  7222·9
 1989 08  9320·4
 1989 07  9113.9
 1989 06  39.9
 1989 05  6413·8
 1989 04  6011.6
 1989 03  111.1
 1989 02  2713.5
 1989 01  3212·5
 1988 12 1413.9
 1988 11 5515·5
 1988 10 2316·0
 1988 09 9317·6
 1988 08 413·2
 1988 07 3512·4
 1988 06 38.8
 1988 05 9210·6
 1988 04 711.2
 1988 03 4612.9
 1988 02 413.1
 1988 01 9912.3
 1987 12  2311·3
 1987 11  2211.3
 1987 10  9114.6
 1987 09  714·4
 1987 08  7814.4
 1987 07  1711·6
 1987 06  507.5
 1987 05  367·2
 1987 04  208·4
 1987 03  158·7
 1987 02  959.9
 1987 01  2912·3
 1986 12 2710·7
 1986 11 2111·6
 1986 10 6413·6
 1986 09 5612·9
 1986 08 9811·5
 1986 07 689·1
 1986 06 195.7
 1986 05 118·4
 1986 04 599.0
 1986 03 1111.1
 1986 02 498.0
 1986 01 1310.3
 1985 12  618·7
 1985 11  338·8
 1985 10  6511·6
 1985 09  78·7
 1985 08  776·4
 1985 07  407.2
 1985 06  76.2
 1985 05  615·8
 1985 04  106.1
 1985 03  646.1
 1985 02  378·6
 1985 01  698.6
 1984 12 847.1
 1984 11 629·2
 1984 10 439·9
 1984 09 5110.2
 1984 08 508·5
 1984 07 147·0
 1984 06 376·2
 1984 05 515.4
 1984 04 827·3
 1984 03 295.6
 1984 02 588.4
 1984 01 387·0
 1983 12  836.3
 1983 11  368.5
 1983 10  698·0
 1983 09  57.0
 1983 08  766·4
 1983 07  944.3
 1983 06  574.5
 1983 05  734.6
 1983 04  135·4
 1983 03  845.9
 1983 02  366.5
 1983 01  866.2
 1982 12 686.1
 1982 11 116.7
 1982 10 437·8
 1982 09 126.7
 1982 08 426·3
 1982 07 95·7
 1982 06 415·1
 1982 05 458.0
 1982 04 617.0
 1982 03 337·6
 1982 02 187.1
 1982 01 68.2
 1981 12  746.2
 1981 11  669.6
 1981 10  8712·0
 1981 09  3713·4
 1981 08  5810.7
 1981 07  138·9
 1981 06  866·5
 1981 05  89·3
 1981 04  136.9
 1981 03  78.0
 1981 02  779·6
 1981 01  1410·1
 1980 12 638.9
 1980 11 410.4
 1980 10 4910.8
 1980 09 7311·3
 1980 08 6010.0
 1980 07 867.8
 1980 06 156.6
 1980 05 299.1
 1980 04 7910.5
 1980 03 599·2
 1980 02 129.8
 1980 01 5210.1
 1979 12  2010·7
 1979 11  5614·1
 1979 10  314.5
 1979 09  3615.1
 1979 08  814·9
 1979 07  3211.1
 1979 06  777.9
 1979 05  011·0
 1979 04  9510.8
 1979 03  6910.3
 1979 02  4511·3
 1979 01  8811·5
 1978 12 5510.6
 1978 11 7512.0
 1978 10 4713·2
 1978 09 6914·3
 1978 08 8810.4
 1978 07 809·9
 1978 06 448.9
 1978 05 379·9
 1978 04 219·3
 1978 03 419.6
 1978 02 259·7
 1978 01 128·9
 1977 12  411·3
 1977 11  4011·8
 1977 10  212·0
 1977 09  3712.4
 1977 08  119·9
 1977 07  847·5
 1977 06  146.6
 1977 05  828·1
 1977 04  438.2
 1977 03  49·0
 1977 02  248.3
 1977 01  419·7
 1976 12 278·6
 1976 11 579.6
 1976 10 1910·2
 1976 09 3410·9
 1976 08 1110.7
 1976 07 247·9
 1976 06 125.6
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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: Of Total Unemployed 16-19 years Percent who are Job Leavers: 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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