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 Series Title: Percent of Total Reentrants 16-19 years Unemployed 5-14 Weeks: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 2032.0
 2012 03 8732.4
 2012 02 9631·5
 2012 01 6125·1
 2011 12  2235·0
 2011 11  2035·4
 2011 10  9832.1
 2011 09  3125·6
 2011 08  7142.8
 2011 07  3241·1
 2011 06  8323.7
 2011 05  8026.8
 2011 04  1922·6
 2011 03  531·0
 2011 02  6233.9
 2011 01  5426·7
 2010 12 4037·2
 2010 11 4631·3
 2010 10 7432·6
 2010 09 2133.3
 2010 08 3439.9
 2010 07 8837·4
 2010 06 8324.4
 2010 05 7526·2
 2010 04 2828·6
 2010 03 8531·0
 2010 02 7431.0
 2010 01 3626·7
 2009 12  7132·6
 2009 11  2035·3
 2009 10  6334.9
 2009 09  4725.1
 2009 08  3943.9
 2009 07  043.2
 2009 06  8624.7
 2009 05  7927·0
 2009 04  3328.2
 2009 03  5631·7
 2009 02  634.8
 2009 01  2433·9
 2008 12 7737·6
 2008 11 4534·9
 2008 10 1232.0
 2008 09 231·2
 2008 08 2333.4
 2008 07 4845·6
 2008 06 1631·3
 2008 05 5718·8
 2008 04 4434·7
 2008 03 7240·2
 2008 02 5641.3
 2008 01 5831·6
 2007 12  4335.3
 2007 11  4937·8
 2007 10  9537·9
 2007 09  033.0
 2007 08  4432·9
 2007 07  3643.0
 2007 06  2023.1
 2007 05  222·3
 2007 04  9840.6
 2007 03  1446·9
 2007 02  4642.4
 2007 01  724·8
 2006 12 8031.4
 2006 11 8935.4
 2006 10 935.5
 2006 09 8633.4
 2006 08 9040·7
 2006 07 9442·5
 2006 06 7324.5
 2006 05 3129·7
 2006 04 5430·0
 2006 03 8431·3
 2006 02 2539.5
 2006 01 6235·3
 2005 12  2228·5
 2005 11  4336.3
 2005 10  7836.6
 2005 09  2426.6
 2005 08  7036.2
 2005 07  7544·9
 2005 06  7024.8
 2005 05  8522.3
 2005 04  9838·3
 2005 03  1336·1
 2005 02  6532.4
 2005 01  4029.5
 2004 12 3130·8
 2004 11 1435.5
 2004 10 5037.9
 2004 09 736.0
 2004 08 2040·4
 2004 07 5943·3
 2004 06 3721·2
 2004 05 3229.4
 2004 04 4030.7
 2004 03 5536·6
 2004 02 6527.3
 2004 01 8227.7
 2003 12  9231·3
 2003 11  3435.2
 2003 10  9737.7
 2003 09  5238·9
 2003 08  138·5
 2003 07  5141·8
 2003 06  2025·8
 2003 05  6223.9
 2003 04  1734.1
 2003 03  8935·9
 2003 02  4832·5
 2003 01  5530·4
 2002 12 1639·3
 2002 11 5539·9
 2002 10 1838.0
 2002 09 136·2
 2002 08 9840.8
 2002 07 7935.8
 2002 06 9427·8
 2002 05 9424.7
 2002 04 8934·5
 2002 03 2030.8
 2002 02 6232·9
 2002 01 5229.2
 2001 12  3833.1
 2001 11  5741.5
 2001 10  3636·9
 2001 09  2030.6
 2001 08  2235.7
 2001 07  9937.9
 2001 06  5521·0
 2001 05  6824·8
 2001 04  4036.1
 2001 03  7632.8
 2001 02  8031.4
 2001 01  8930·5
 2000 12 1942·5
 2000 11 4536.9
 2000 10 9935·3
 2000 09 230.2
 2000 08 840·0
 2000 07 8840.9
 2000 06 2724.2
 2000 05 5125·1
 2000 04 8328·8
 2000 03 1140.0
 2000 02 9932.6
 2000 01 731.6
 1999 12  4437.4
 1999 11  4741·0
 1999 10  8035.8
 1999 09  6233·2
 1999 08  1742.4
 1999 07  5235.1
 1999 06  5820.2
 1999 05  3630·8
 1999 04  5232·9
 1999 03  739·4
 1999 02  4431.0
 1999 01  7430·9
 1998 12 2430.5
 1998 11 1947.4
 1998 10 7733.3
 1998 09 4329·6
 1998 08 3440·0
 1998 07 1943.0
 1998 06 2127.1
 1998 05 3923.4
 1998 04 836·6
 1998 03 6534.8
 1998 02 6233·8
 1998 01 8126.4
 1997 12  9536·1
 1997 11  3839.1
 1997 10  1336·5
 1997 09  1232.5
 1997 08  7046.5
 1997 07  4540·9
 1997 06  1426·9
 1997 05  229·7
 1997 04  3630·2
 1997 03  1744.3
 1997 02  2540·4
 1997 01  4527·3
 1996 12 1643·5
 1996 11 1137.7
 1996 10 3643·5
 1996 09 6033.0
 1996 08 6145·4
 1996 07 844.3
 1996 06 6022·7
 1996 05 9127·1
 1996 04 4738.0
 1996 03 1631·6
 1996 02 3337.4
 1996 01 832.6
 1995 12  7441·5
 1995 11  6540.0
 1995 10  2041.4
 1995 09  431·4
 1995 08  6750.3
 1995 07  1347·5
 1995 06  722·7
 1995 05  9926.4
 1995 04  7729.0
 1995 03  4131.0
 1995 02  832·4
 1995 01  3729.5
 1994 12 7940.9
 1994 11 5638·4
 1994 10 6136.4
 1994 09 8627.3
 1994 08 7349.3
 1994 07 8940.1
 1994 06 2925.9
 1994 05 4225·9
 1994 04 8632.4
 1994 03 9735.6
 1994 02 9841.7
 1994 01 2328·2
 1993 12  6630·9
 1993 11  6236·2
 1993 10  8431.5
 1993 09  7324.5
 1993 08  9150.3
 1993 07  9042·2
 1993 06  2223·7
 1993 05  6224.7
 1993 04  5927.4
 1993 03  1332·7
 1993 02  7734.3
 1993 01  8429·7
 1992 12 9730.9
 1992 11 8838.4
 1992 10 3629.7
 1992 09 5726·9
 1992 08 5540·4
 1992 07 9546.4
 1992 06 1120.2
 1992 05 2622·0
 1992 04 831·1
 1992 03 4337·0
 1992 02 4235.5
 1992 01 6028·4
 1991 12  5644·6
 1991 11  6236·7
 1991 10  9034.6
 1991 09  5429·5
 1991 08  2644·2
 1991 07  1042·0
 1991 06  4419.3
 1991 05  2622·1
 1991 04  6724.8
 1991 03  6726·4
 1991 02  1631·3
 1991 01  2029.5
 1990 12 5534.6
 1990 11 4128·0
 1990 10 4532·9
 1990 09 617·5
 1990 08 9044·7
 1990 07 6336.4
 1990 06 9216·0
 1990 05 7822·7
 1990 04 9825·9
 1990 03 8928·2
 1990 02 4723.3
 1990 01 5433.6
 1989 12  2832·6
 1989 11  232.2
 1989 10  2328·7
 1989 09  8019.8
 1989 08  5739·9
 1989 07  829·4
 1989 06  5613.3
 1989 05  2425·4
 1989 04  8522·8
 1989 03  3828.0
 1989 02  929·6
 1989 01  8027·9
 1988 12 3728.4
 1988 11 5033.7
 1988 10 7227·5
 1988 09 6825·2
 1988 08 6438.0
 1988 07 2536.1
 1988 06 5618.7
 1988 05 3121.3
 1988 04 4026.9
 1988 03 6924·7
 1988 02 024·3
 1988 01 3927.8
 1987 12  6727.1
 1987 11  1429·5
 1987 10  6632·4
 1987 09  8617·6
 1987 08  6937.5
 1987 07  1736.1
 1987 06  4215·1
 1987 05  9118·1
 1987 04  9824.8
 1987 03  6031·6
 1987 02  4238·8
 1987 01  9820.1
 1986 12 2832·4
 1986 11 4933·3
 1986 10 342·1
 1986 09 7731.0
 1986 08 6042·8
 1986 07 1632.4
 1986 06 8714·9
 1986 05 2122.0
 1986 04 1934.0
 1986 03 1733.0
 1986 02 8430.5
 1986 01 4927·8
 1985 12  5629·3
 1985 11  3434.0
 1985 10  530·0
 1985 09  724.1
 1985 08  4648.3
 1985 07  7441·2
 1985 06  8919·0
 1985 05  6222·9
 1985 04  8930.9
 1985 03  6827·0
 1985 02  9832.4
 1985 01  926·5
 1984 12 1127·6
 1984 11 7334.1
 1984 10 2137·2
 1984 09 6730.8
 1984 08 6348·5
 1984 07 7145.4
 1984 06 7017.6
 1984 05 8130.5
 1984 04 1930.5
 1984 03 6835·5
 1984 02 8331.9
 1984 01 1927·5
 1983 12  8026·8
 1983 11  9541·8
 1983 10  2338·0
 1983 09  7630·6
 1983 08  7144.9
 1983 07  1144·3
 1983 06  7822·5
 1983 05  7024·5
 1983 04  4429.4
 1983 03  9528·2
 1983 02  6234.2
 1983 01  4730·4
 1982 12 7232.9
 1982 11 5634.3
 1982 10 1132.7
 1982 09 7427.9
 1982 08 5747.2
 1982 07 2341·6
 1982 06 8824.1
 1982 05 4624·7
 1982 04 2429·2
 1982 03 5526·1
 1982 02 8231·0
 1982 01 8327·3
 1981 12  2432·0
 1981 11  3335.0
 1981 10  632.8
 1981 09  2826·7
 1981 08  3143.1
 1981 07  6338.6
 1981 06  9617.0
 1981 05  5128·1
 1981 04  4632.0
 1981 03  7738.8
 1981 02  1733·3
 1981 01  4524.0
 1980 12 9531.7
 1980 11 3236·7
 1980 10 5737.7
 1980 09 3122·8
 1980 08 2740.0
 1980 07 843.1
 1980 06 2719·0
 1980 05 5120·7
 1980 04 1929.1
 1980 03 1431.7
 1980 02 6635·8
 1980 01 7527·8
 1979 12  7132.7
 1979 11  8136.2
 1979 10  3628·9
 1979 09  9824.9
 1979 08  839.7
 1979 07  6542·6
 1979 06  2716·4
 1979 05  3822.4
 1979 04  8024.4
 1979 03  4725.9
 1979 02  5029.0
 1979 01  4026·7
 1978 12 6339·5
 1978 11 3543.6
 1978 10 4340.1
 1978 09 7225·2
 1978 08 5839·1
 1978 07 6041.5
 1978 06 7020.4
 1978 05 2928·1
 1978 04 8928.6
 1978 03 7933.2
 1978 02 1827.3
 1978 01 3123·6
 1977 12  731.9
 1977 11  7434·7
 1977 10  037.0
 1977 09  2024.5
 1977 08  8748.0
 1977 07  5044.2
 1977 06  5418·8
 1977 05  6630.4
 1977 04  3027·7
 1977 03  4033.5
 1977 02  4333·8
 1977 01  6424·8
 1976 12 6238.6
 1976 11 140·9
 1976 10 5534·3
 1976 09 3330.2
 1976 08 3250·5
 1976 07 1345.6
 1976 06 221·6
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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: Percent of Total Reentrants 16-19 years Unemployed 5-14 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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