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 Series Title: Percent of Total Reentrants 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 6544·5
 2012 03 6742·0
 2012 02 1046·8
 2012 01 1345.2
 2011 12  2534·7
 2011 11  9037·5
 2011 10  6033·8
 2011 09  1536·5
 2011 08  1331·2
 2011 07  7427.3
 2011 06  7426·6
 2011 05  7740·8
 2011 04  8152·6
 2011 03  144·6
 2011 02  6533.9
 2011 01  4444.0
 2010 12 438.6
 2010 11 7739.0
 2010 10 7040.9
 2010 09 8632·0
 2010 08 8139·7
 2010 07 3335.7
 2010 06 5132·6
 2010 05 9734.6
 2010 04 3945·8
 2010 03 2847·8
 2010 02 9845.6
 2010 01 9539·8
 2009 12  2843·9
 2009 11  4145.1
 2009 10  2240.8
 2009 09  2642·3
 2009 08  2234.2
 2009 07  8032·5
 2009 06  6331·2
 2009 05  5736.4
 2009 04  2444.2
 2009 03  7736.9
 2009 02  8238.7
 2009 01  8330·5
 2008 12 5731·7
 2008 11 8828.2
 2008 10 6730.6
 2008 09 2431.3
 2008 08 7325.9
 2008 07 9416.1
 2008 06 3215.1
 2008 05 2322·0
 2008 04 4730.7
 2008 03 323.7
 2008 02 1423.3
 2008 01 4931.9
 2007 12  7828·3
 2007 11  4619·4
 2007 10  7720.1
 2007 09  9819.3
 2007 08  9323.7
 2007 07  8019·5
 2007 06  715·8
 2007 05  8724·2
 2007 04  4225.2
 2007 03  8626·2
 2007 02  1922.8
 2007 01  6121.7
 2006 12 121·7
 2006 11 7019.9
 2006 10 4920.3
 2006 09 9018·8
 2006 08 6916·5
 2006 07 6618.2
 2006 06 6112.1
 2006 05 6616.7
 2006 04 7223.4
 2006 03 2825·6
 2006 02 4324·7
 2006 01 1023.3
 2005 12  6124.6
 2005 11  4018·6
 2005 10  718·9
 2005 09  6625.5
 2005 08  1025.7
 2005 07  717·4
 2005 06  9218.1
 2005 05  220·8
 2005 04  2116.5
 2005 03  6125·6
 2005 02  6027.7
 2005 01  1326·6
 2004 12 1935.8
 2004 11 5922.5
 2004 10 021.6
 2004 09 1816.9
 2004 08 5321.3
 2004 07 8220·0
 2004 06 2319.1
 2004 05 6124.4
 2004 04 028.5
 2004 03 3724.5
 2004 02 6930·8
 2004 01 1230·3
 2003 12  6031.5
 2003 11  5623·1
 2003 10  9923·0
 2003 09  6417·9
 2003 08  5826·8
 2003 07  9622.5
 2003 06  219.5
 2003 05  3625·7
 2003 04  4431.6
 2003 03  3726.5
 2003 02  9124·5
 2003 01  7323·4
 2002 12 9525.7
 2002 11 8720·5
 2002 10 320·5
 2002 09 4419.1
 2002 08 1021.5
 2002 07 7813·2
 2002 06 213·9
 2002 05 4320.9
 2002 04 1423·5
 2002 03 6527.7
 2002 02 7529·6
 2002 01 8926.9
 2001 12  5924.6
 2001 11  3017.7
 2001 10  3618.5
 2001 09  2614·4
 2001 08  2019·3
 2001 07  8115·9
 2001 06  2112.7
 2001 05  2320·1
 2001 04  9619.2
 2001 03  4920.9
 2001 02  9521·0
 2001 01  7615·0
 2000 12 1412.4
 2000 11 9013·1
 2000 10 4414.7
 2000 09 19·8
 2000 08 2313.4
 2000 07 8711.0
 2000 06 8311.1
 2000 05 4517·0
 2000 04 016.4
 2000 03 4514·9
 2000 02 4820·0
 2000 01 7520.0
 1999 12  4421·8
 1999 11  9610·3
 1999 10  211·4
 1999 09  8711.6
 1999 08  819·8
 1999 07  9811·5
 1999 06  3414·2
 1999 05  9915·1
 1999 04  6119·8
 1999 03  3120·2
 1999 02  5720.1
 1999 01  5517·3
 1998 12 6020·7
 1998 11 212.4
 1998 10 713.1
 1998 09 2517.4
 1998 08 7815.1
 1998 07 4410·9
 1998 06 4914.0
 1998 05 214.1
 1998 04 4121.8
 1998 03 1224.4
 1998 02 7023.7
 1998 01 622.7
 1997 12  9824.9
 1997 11  8816.5
 1997 10  8314·3
 1997 09  8115·3
 1997 08  2617.4
 1997 07  7914.0
 1997 06  2511.8
 1997 05  9622·5
 1997 04  2429.0
 1997 03  1723.0
 1997 02  6020.9
 1997 01  4623.8
 1996 12 1816·0
 1996 11 5814.4
 1996 10 7616·1
 1996 09 4817·4
 1996 08 5918·2
 1996 07 8318·0
 1996 06 8619.5
 1996 05 4823·2
 1996 04 2130.9
 1996 03 024.9
 1996 02 2619.6
 1996 01 1524.4
 1995 12  615·8
 1995 11  4016·8
 1995 10  6120.0
 1995 09  4317·4
 1995 08  3816·4
 1995 07  6014.6
 1995 06  7916.4
 1995 05  5022.9
 1995 04  6923.3
 1995 03  4130.1
 1995 02  9128.2
 1995 01  8224·4
 1994 12 7223.0
 1994 11 9022·4
 1994 10 3621·2
 1994 09 617.7
 1994 08 5019·6
 1994 07 3921.3
 1994 06 7715.8
 1994 05 1922·6
 1994 04 2627·9
 1994 03 4424·1
 1994 02 221·1
 1994 01 3722.1
 1993 12  5215.4
 1993 11  8713·2
 1993 10  2313.2
 1993 09  610·2
 1993 08  310.7
 1993 07  758·0
 1993 06  797.5
 1993 05  959·2
 1993 04  8019·0
 1993 03  3917·8
 1993 02  3211·1
 1993 01  9814.0
 1992 12 720·3
 1992 11 3511·0
 1992 10 7014·7
 1992 09 3411·2
 1992 08 3510.5
 1992 07 475.5
 1992 06 75.9
 1992 05 4715.9
 1992 04 4018.0
 1992 03 7916.9
 1992 02 8022.2
 1992 01 616·1
 1991 12  2112.4
 1991 11  6410.9
 1991 10  529·8
 1991 09  69·6
 1991 08  57·5
 1991 07  586.4
 1991 06  106·7
 1991 05  658.2
 1991 04  4117·7
 1991 03  4415·5
 1991 02  6814·1
 1991 01  2910.8
 1990 12 611.0
 1990 11 2711·5
 1990 10 6411.2
 1990 09 657·5
 1990 08 994.4
 1990 07 395·8
 1990 06 613·5
 1990 05 685·0
 1990 04 469·8
 1990 03 388·1
 1990 02 4610·4
 1990 01 5712·4
 1989 12  9711.6
 1989 11  48·6
 1989 10  3210·0
 1989 09  768.2
 1989 08  285.4
 1989 07  445·8
 1989 06  574.2
 1989 05  959·1
 1989 04  3811.1
 1989 03  9013·7
 1989 02  8411.8
 1989 01  814·8
 1988 12 5415.2
 1988 11 998·1
 1988 10 26.4
 1988 09 335·9
 1988 08 263·5
 1988 07 523·4
 1988 06 225·9
 1988 05 158·9
 1988 04 2914.1
 1988 03 5613.7
 1988 02 8320·3
 1988 01 2414.8
 1987 12  6416.5
 1987 11  428.0
 1987 10  485.4
 1987 09  525.2
 1987 08  567·3
 1987 07  675·8
 1987 06  45.2
 1987 05  2010·2
 1987 04  5420·5
 1987 03  1311.1
 1987 02  6412.8
 1987 01  7118.9
 1986 12 3616.3
 1986 11 8610.2
 1986 10 676.9
 1986 09 748.0
 1986 08 110.3
 1986 07 1910.6
 1986 06 7510·0
 1986 05 2411·5
 1986 04 7418.7
 1986 03 6715·5
 1986 02 7711·1
 1986 01 4113.6
 1985 12  711·2
 1985 11  1212.8
 1985 10  8410.2
 1985 09  677.4
 1985 08  737.4
 1985 07  614.8
 1985 06  355·2
 1985 05  7213·1
 1985 04  7514·3
 1985 03  4615·8
 1985 02  9316·9
 1985 01  5114·7
 1984 12 3615·4
 1984 11 237·0
 1984 10 4512·0
 1984 09 225·5
 1984 08 89.5
 1984 07 748.4
 1984 06 57·6
 1984 05 2918.2
 1984 04 6625.7
 1984 03 519·2
 1984 02 1118·1
 1984 01 4228·0
 1983 12  1020.9
 1983 11  4915·7
 1983 10  2516·5
 1983 09  5519·7
 1983 08  6517·1
 1983 07  6111.0
 1983 06  359·9
 1983 05  8719·3
 1983 04  8326·6
 1983 03  2432·6
 1983 02  5430.1
 1983 01  8230.8
 1982 12 3826·0
 1982 11 4419.0
 1982 10 2020·2
 1982 09 1011·7
 1982 08 3114·8
 1982 07 529·0
 1982 06 9610.7
 1982 05 6419·1
 1982 04 8727·0
 1982 03 619.4
 1982 02 7023·7
 1982 01 6321.8
 1981 12  5721.3
 1981 11  8716.5
 1981 10  5520.2
 1981 09  5215·9
 1981 08  1611·7
 1981 07  27.1
 1981 06  888.8
 1981 05  018.6
 1981 04  6422.9
 1981 03  8118.6
 1981 02  3221·0
 1981 01  114.4
 1980 12 2720.9
 1980 11 8313.0
 1980 10 7613.6
 1980 09 7410.7
 1980 08 5510·7
 1980 07 884·4
 1980 06 326·1
 1980 05 6314·3
 1980 04 2317·1
 1980 03 316·2
 1980 02 3814.6
 1980 01 3715.6
 1979 12  339·9
 1979 11  619.2
 1979 10  587.5
 1979 09  915·1
 1979 08  95.6
 1979 07  166.4
 1979 06  786.5
 1979 05  4413·0
 1979 04  219·3
 1979 03  5218.0
 1979 02  1219·1
 1979 01  3915.6
 1978 12 8614.5
 1978 11 759·5
 1978 10 9810·6
 1978 09 476.1
 1978 08 6410·3
 1978 07 168·2
 1978 06 989·0
 1978 05 6015·4
 1978 04 5918.0
 1978 03 3114.4
 1978 02 122·1
 1978 01 9917·9
 1977 12  2217·7
 1977 11  49·4
 1977 10  199·8
 1977 09  77.6
 1977 08  306·6
 1977 07  409·6
 1977 06  909.1
 1977 05  5415·8
 1977 04  8122.1
 1977 03  7117.9
 1977 02  7819.1
 1977 01  3318·7
 1976 12 116·4
 1976 11 5311·2
 1976 10 6913·9
 1976 09 648·6
 1976 08 4210·3
 1976 07 6911.2
 1976 06 789.0
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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 Reentrants 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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