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 Series Title: Percent of Total Reentrants 16-19 years Unemployed 27 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 04 227·1
 2012 03 924.7
 2012 02 6822.9
 2012 01 020.4
 2011 12  5319·1
 2011 11  7219·8
 2011 10  913.4
 2011 09  4221·1
 2011 08  3220·7
 2011 07  9717·9
 2011 06  1416·9
 2011 05  4526·0
 2011 04  9034·4
 2011 03  6428·8
 2011 02  9518·5
 2011 01  5321·6
 2010 12 416·1
 2010 11 8117·2
 2010 10 9020·0
 2010 09 3620·1
 2010 08 7224·5
 2010 07 7827.6
 2010 06 6220.4
 2010 05 8721·3
 2010 04 2028.0
 2010 03 1331.4
 2010 02 020·1
 2010 01 2621·4
 2009 12  023.2
 2009 11  6724.4
 2009 10  1524·2
 2009 09  9721.9
 2009 08  8519·3
 2009 07  4719·9
 2009 06  4617.2
 2009 05  6917·7
 2009 04  7727·9
 2009 03  8418.0
 2009 02  5517·3
 2009 01  3611.6
 2008 12 118.7
 2008 11 3517·0
 2008 10 3113.5
 2008 09 1712.2
 2008 08 712·2
 2008 07 838.5
 2008 06 876·7
 2008 05 5611·6
 2008 04 7215·2
 2008 03 327·2
 2008 02 608.6
 2008 01 2412·6
 2007 12  9410.8
 2007 11  169.4
 2007 10  136·2
 2007 09  1311.5
 2007 08  011·3
 2007 07  908.4
 2007 06  345·2
 2007 05  437·3
 2007 04  3910·3
 2007 03  3612·7
 2007 02  3610.8
 2007 01  579.2
 2006 12 886.9
 2006 11 627.6
 2006 10 576·4
 2006 09 268·1
 2006 08 4711.7
 2006 07 989.7
 2006 06 602.7
 2006 05 448·3
 2006 04 4110·2
 2006 03 110·9
 2006 02 328·8
 2006 01 284·5
 2005 12  204·7
 2005 11  535.9
 2005 10  877·8
 2005 09  2412.1
 2005 08  6013·6
 2005 07  615·6
 2005 06  636·3
 2005 05  15.5
 2005 04  627·5
 2005 03  5510.8
 2005 02  2114.9
 2005 01  5311·4
 2004 12 5015·1
 2004 11 9410·6
 2004 10 518.7
 2004 09 998·4
 2004 08 7513·8
 2004 07 5812.1
 2004 06 6510.0
 2004 05 8211.8
 2004 04 1213.5
 2004 03 5416.1
 2004 02 113·7
 2004 01 7414.5
 2003 12  6313·1
 2003 11  1411.0
 2003 10  2210.6
 2003 09  668·5
 2003 08  5113·1
 2003 07  948.6
 2003 06  168.6
 2003 05  7913.2
 2003 04  2912.2
 2003 03  768.5
 2003 02  969·2
 2003 01  578.7
 2002 12 7011·2
 2002 11 669·7
 2002 10 9910.3
 2002 09 6810·7
 2002 08 7510·6
 2002 07 977·7
 2002 06 887·2
 2002 05 88·7
 2002 04 719·1
 2002 03 258·9
 2002 02 5211.9
 2002 01 9411·1
 2001 12  67.4
 2001 11  318.5
 2001 10  35·9
 2001 09  725·6
 2001 08  579·3
 2001 07  238·7
 2001 06  795·1
 2001 05  106·1
 2001 04  245.5
 2001 03  317·4
 2001 02  437.2
 2001 01  36.5
 2000 12 334.5
 2000 11 133.8
 2000 10 841·5
 2000 09 693·5
 2000 08 338.3
 2000 07 506.5
 2000 06 126·2
 2000 05 537.5
 2000 04 05·0
 2000 03 496.0
 2000 02 684.8
 2000 01 255.9
 1999 12  358.0
 1999 11  413·6
 1999 10  132.9
 1999 09  775·3
 1999 08  625·1
 1999 07  835.3
 1999 06  367.9
 1999 05  296·0
 1999 04  338.2
 1999 03  579·5
 1999 02  4910·0
 1999 01  268·3
 1998 12 238·9
 1998 11 696·3
 1998 10 905·7
 1998 09 366.9
 1998 08 316.9
 1998 07 516.8
 1998 06 236.6
 1998 05 548·0
 1998 04 858.9
 1998 03 599·5
 1998 02 348·6
 1998 01 9912.5
 1997 12  337.8
 1997 11  765.3
 1997 10  374·9
 1997 09  156·9
 1997 08  519·7
 1997 07  87.3
 1997 06  715·8
 1997 05  7010.2
 1997 04  4013·6
 1997 03  8610.9
 1997 02  968·3
 1997 01  608.4
 1996 12 255.7
 1996 11 683.7
 1996 10 36·6
 1996 09 47·9
 1996 08 568.3
 1996 07 349.4
 1996 06 38·9
 1996 05 4410·7
 1996 04 913·8
 1996 03 9213.4
 1996 02 347·0
 1996 01 528·6
 1995 12  846·3
 1995 11  726.5
 1995 10  606.4
 1995 09  205·6
 1995 08  78.9
 1995 07  338.0
 1995 06  687.7
 1995 05  689·1
 1995 04  2811.2
 1995 03  5514·2
 1995 02  7112.2
 1995 01  407·9
 1994 12 229·5
 1994 11 4410·8
 1994 10 67.5
 1994 09 65·2
 1994 08 908·0
 1994 07 349·0
 1994 06 385.4
 1994 05 5810·3
 1994 04 5815.3
 1994 03 8011.7
 1994 02 535·4
 1994 01 184·1
 1993 12  743·5
 1993 11  635.2
 1993 10  655.7
 1993 09  274·1
 1993 08  164.3
 1993 07  913.6
 1993 06  124·7
 1993 05  573.8
 1993 04  837.9
 1993 03  9610·4
 1993 02  554·4
 1993 01  03·7
 1992 12 17.3
 1992 11 334·2
 1992 10 857·4
 1992 09 775.4
 1992 08 196.5
 1992 07 853.6
 1992 06 123.3
 1992 05 317.3
 1992 04 1510.2
 1992 03 588.2
 1992 02 756.1
 1992 01 317·1
 1991 12  872.5
 1991 11  833.1
 1991 10  381·6
 1991 09  713·9
 1991 08  613·4
 1991 07  181·4
 1991 06  873.3
 1991 05  712.9
 1991 04  886·1
 1991 03  444·1
 1991 02  362.8
 1991 01  752·5
 1990 12 433.6
 1990 11 683.9
 1990 10 222.8
 1990 09 511·1
 1990 08 273.3
 1990 07 211·7
 1990 06 92.1
 1990 05 951.9
 1990 04 655·7
 1990 03 604.5
 1990 02 853·3
 1990 01 251·8
 1989 12  60.7
 1989 11  671·2
 1989 10  613.2
 1989 09  851·9
 1989 07  284.7
 1989 06  482.3
 1989 05  774·5
 1989 04  452·8
 1989 03  296·6
 1989 02  352·1
 1989 01  953·6
 1988 12 987.5
 1988 11 363.0
 1988 10 842.4
 1988 09 32·4
 1988 08 643·1
 1988 07 980·7
 1988 06 782.1
 1988 05 142.9
 1988 04 878.2
 1988 03 929·1
 1988 02 228·3
 1988 01 665.3
 1987 12  354.0
 1987 11  173·2
 1987 10  491·5
 1987 09  210·2
 1987 08  42·8
 1987 07  991·3
 1987 06  150.8
 1987 05  685·0
 1987 04  136·2
 1987 03  897·0
 1987 02  13·7
 1987 01  195·4
 1986 12 43.1
 1986 11 611·6
 1986 10 152·0
 1986 09 133·4
 1986 08 484.0
 1986 07 173·1
 1986 06 884.1
 1986 05 116·5
 1986 04 399·3
 1986 03 818·0
 1986 02 772·1
 1986 01 34.1
 1985 12  962.9
 1985 11  41·7
 1985 10  632·2
 1985 09  12.8
 1985 08  631·4
 1985 07  612·5
 1985 06  531·7
 1985 05  433·7
 1985 04  94·6
 1985 03  536.5
 1985 02  784.1
 1985 01  913·8
 1984 12 283·8
 1984 11 52.2
 1984 10 963·4
 1984 09 342.7
 1984 08 405.0
 1984 07 676·1
 1984 06 875·0
 1984 05 8514·0
 1984 04 8812.2
 1984 03 169.8
 1984 02 598·4
 1984 01 8111·1
 1983 12  428.2
 1983 11  505.4
 1983 10  444.8
 1983 09  866·2
 1983 08  958·9
 1983 07  964·8
 1983 06  973.7
 1983 05  8611·3
 1983 04  6811.5
 1983 03  511.1
 1983 02  010·2
 1983 01  969.9
 1982 12 47.8
 1982 11 513·9
 1982 10 606.8
 1982 09 533.6
 1982 08 725·5
 1982 07 344·6
 1982 06 94.2
 1982 05 207.9
 1982 04 6612·1
 1982 03 819·9
 1982 02 48·0
 1982 01 846·3
 1981 12  64.2
 1981 11  415.1
 1981 10  257·5
 1981 09  594.9
 1981 08  367.9
 1981 07  913·9
 1981 06  814.3
 1981 05  837.5
 1981 04  2410.8
 1981 03  296.9
 1981 02  17.2
 1981 01  185.5
 1980 12 663·9
 1980 11 832.6
 1980 10 432.5
 1980 09 532.8
 1980 08 792·2
 1980 07 21·4
 1980 06 892·5
 1980 05 996.5
 1980 04 98.4
 1980 03 615.0
 1980 02 453.0
 1980 01 962·8
 1979 12  242.7
 1979 11  612·9
 1979 10  431.2
 1979 09  61.8
 1979 08  191.5
 1979 07  280.9
 1979 06  391·9
 1979 05  174·1
 1979 04  129·3
 1979 03  119·9
 1979 02  157.1
 1979 01  422.7
 1978 12 482·2
 1978 11 863.1
 1978 10 794.6
 1978 09 182.4
 1978 08 965.9
 1978 07 543·9
 1978 06 603·1
 1978 05 95.7
 1978 04 506.9
 1978 03 405.5
 1978 02 175·2
 1978 01 22.9
 1977 12  307·1
 1977 11  943.7
 1977 10  301·9
 1977 09  113.4
 1977 08  783·7
 1977 07  924·6
 1977 06  63.0
 1977 05  737·2
 1977 04  668.4
 1977 03  3412·1
 1977 02  785·6
 1977 01  516·0
 1976 12 864.4
 1976 11 453.3
 1976 10 15·6
 1976 09 332·9
 1976 08 573·5
 1976 07 764·3
 1976 06 573·8
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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: Percent of Total Reentrants 16-19 years Unemployed 27 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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