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 Series Title: Percent of Total Job Losers 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 2932.3
 2012 03 7237·1
 2012 02 741·4
 2012 01 1230·2
 2011 12  8829·1
 2011 11  4023·3
 2011 10  7332.8
 2011 09  2326·7
 2011 08  719·9
 2011 07  029.9
 2011 06  3322·7
 2011 05  2716·5
 2011 04  3727·7
 2011 03  3326.4
 2011 02  143·1
 2011 01  6727.8
 2010 12 5234·0
 2010 11 4740.3
 2010 10 1428.5
 2010 09 1330·7
 2010 08 5429·2
 2010 07 7425·1
 2010 06 3626·2
 2010 05 5928.3
 2010 04 6840·4
 2010 03 6933.1
 2010 02 5435.9
 2010 01 2425.7
 2009 12  4343·2
 2009 11  1533.1
 2009 10  8129·2
 2009 09  5227·6
 2009 08  5627·2
 2009 07  1735.0
 2009 06  5537·5
 2009 05  1222.7
 2009 04  730·8
 2009 03  837·5
 2009 02  3939·1
 2009 01  9929.5
 2008 12 2121.6
 2008 11 4525.8
 2008 10 2033·0
 2008 09 3133·4
 2008 08 4823·7
 2008 07 936.1
 2008 06 1328.6
 2008 05 5327·0
 2008 04 6525·4
 2008 03 640.8
 2008 02 5434·1
 2008 01 3332.1
 2007 12  7128·5
 2007 11  6923.6
 2007 10  630.7
 2007 09  6728.6
 2007 08  9221.5
 2007 07  5314.2
 2007 06  5831.5
 2007 05  7326·8
 2007 04  7828·6
 2007 03  4133.2
 2007 02  2230.9
 2007 01  9522.3
 2006 12 420.3
 2006 11 3933·6
 2006 10 3611·5
 2006 09 221·9
 2006 08 7134·0
 2006 07 7921·1
 2006 06 6318·7
 2006 05 8921.3
 2006 04 523·8
 2006 03 1840·8
 2006 02 9131·2
 2006 01 7436.4
 2005 12  5633.4
 2005 11  3628.2
 2005 10  3218·6
 2005 09  327.0
 2005 08  9821·3
 2005 07  4221.7
 2005 06  2620·3
 2005 05  4324.7
 2005 04  3324·8
 2005 03  6530.0
 2005 02  3439.1
 2005 01  8923·9
 2004 12 8622.0
 2004 11 6426.2
 2004 10 4528·6
 2004 09 6119·9
 2004 08 830.5
 2004 07 2024.7
 2004 06 7030.3
 2004 05 223.5
 2004 04 7322·0
 2004 03 3827·5
 2004 02 5035.2
 2004 01 8123·2
 2003 12  8233·5
 2003 11  5225·3
 2003 10  4524.3
 2003 09  9326.7
 2003 08  6031.5
 2003 07  1710·7
 2003 06  4423.1
 2003 05  5719·4
 2003 04  5930.2
 2003 03  1631·7
 2003 02  6138.5
 2003 01  1720·1
 2002 12 5231·9
 2002 11 5426.8
 2002 10 3229·2
 2002 09 4225.8
 2002 08 4224.6
 2002 07 6433.6
 2002 06 2023.3
 2002 05 2632.6
 2002 04 5235·2
 2002 03 233.0
 2002 02 1535·4
 2002 01 8828.9
 2001 12  3429·5
 2001 11  5027.5
 2001 10  2821.2
 2001 09  7320·6
 2001 08  6216.2
 2001 07  1426.7
 2001 06  9725.3
 2001 05  5029.6
 2001 04  3822·7
 2001 03  2738.7
 2001 02  8531·5
 2001 01  1223.5
 2000 12 8639·1
 2000 11 4420.6
 2000 10 8117·6
 2000 09 7914.0
 2000 08 5715.5
 2000 07 4723.4
 2000 06 9724·3
 2000 05 9622·3
 2000 04 2735.3
 2000 03 4419·1
 2000 02 7033.6
 2000 01 3020.7
 1999 12  9518.3
 1999 11  6528.7
 1999 10  6535.8
 1999 09  7721.9
 1999 08  8821·2
 1999 07  6719.8
 1999 06  6818·2
 1999 05  5536.1
 1999 04  5523.5
 1999 03  3220·7
 1999 02  9347·3
 1999 01  933·7
 1998 12 7242.1
 1998 11 6735.7
 1998 10 7727·2
 1998 09 822·6
 1998 08 3924.5
 1998 07 323·8
 1998 06 8431.4
 1998 05 4626.7
 1998 04 8225·4
 1998 03 9731.0
 1998 02 135·9
 1998 01 4121.4
 1997 12  5222.9
 1997 11  3133·5
 1997 10  4119.6
 1997 09  3932·6
 1997 08  2232.9
 1997 07  1026·4
 1997 06  4323·5
 1997 05  813·4
 1997 04  9521·0
 1997 03  6732.6
 1997 02  6838·6
 1997 01  4324.3
 1996 12 9526·2
 1996 11 5933.0
 1996 10 531·3
 1996 09 6237·3
 1996 08 7218·7
 1996 07 6724.8
 1996 06 6734·0
 1996 05 1025·6
 1996 04 326.4
 1996 03 9735·2
 1996 02 9134·4
 1996 01 5638·5
 1995 12  8731·9
 1995 11  8226.3
 1995 10  4137.6
 1995 09  9331·2
 1995 08  5023·9
 1995 07  7831·4
 1995 06  429·6
 1995 05  4227·7
 1995 04  4229.0
 1995 03  6639·5
 1995 02  9441·9
 1995 01  4729.3
 1994 12 3834.2
 1994 11 5327·2
 1994 10 4833·6
 1994 09 7526·5
 1994 08 4029·6
 1994 07 7219.9
 1994 06 2929.4
 1994 05 2325·5
 1994 04 7233.6
 1994 03 7823·9
 1994 02 2533·9
 1994 01 822·3
 1993 12  8535·1
 1993 11  5335·6
 1993 10  4837.8
 1993 09  7517·8
 1993 08  5434.9
 1993 07  432.3
 1993 06  3823·9
 1993 05  9325.6
 1993 04  8032·1
 1993 03  6237.6
 1993 02  5637.1
 1993 01  5623·9
 1992 12 8830·9
 1992 11 8528.8
 1992 10 9130.6
 1992 09 8321.8
 1992 08 2727.0
 1992 07 5326·4
 1992 06 5526.6
 1992 05 1926·3
 1992 04 7538.3
 1992 03 7439·1
 1992 02 8640·4
 1992 01 3234·0
 1991 12  3142·7
 1991 11  7837·5
 1991 10  4832·5
 1991 09  1734.0
 1991 08  2029.1
 1991 07  2432.9
 1991 06  2832.6
 1991 05  9332.9
 1991 04  9439·5
 1991 03  9142·4
 1991 02  3841·8
 1991 01  432.5
 1990 12 2628.8
 1990 11 8825·2
 1990 10 1834·6
 1990 09 1920.5
 1990 08 1922·5
 1990 07 4519·9
 1990 06 2921.3
 1990 05 3229·0
 1990 04 9630·6
 1990 03 1929.3
 1990 02 6034·7
 1990 01 6331·0
 1989 12  930·3
 1989 11  9230·6
 1989 10  2431·5
 1989 09  5519.2
 1989 08  3330.3
 1989 07  7121·1
 1989 06  5814·6
 1989 05  7830.8
 1989 04  6825·0
 1989 03  8729.9
 1989 02  2534.2
 1989 01  2619.9
 1988 12 3927·9
 1988 11 9730·1
 1988 10 1429·2
 1988 09 1827.7
 1988 08 9822.6
 1988 07 8222·2
 1988 06 3729·3
 1988 05 9833·3
 1988 04 1930·1
 1988 03 4945.0
 1988 02 3142·5
 1988 01 3528·9
 1987 12  331·9
 1987 11  2929.3
 1987 10  6133.9
 1987 09  2423.2
 1987 08  7530·4
 1987 07  8128·7
 1987 06  1334·8
 1987 05  8327·3
 1987 04  8626·9
 1987 03  8433.8
 1987 02  143.7
 1987 01  5728.2
 1986 12 1138·3
 1986 11 4537.2
 1986 10 6335.9
 1986 09 1425.3
 1986 08 5019.1
 1986 07 9721.0
 1986 06 6128·0
 1986 05 5026·7
 1986 04 2933.2
 1986 03 9639.0
 1986 02 8340·1
 1986 01 8237.6
 1985 12  9835.7
 1985 11  2429·5
 1985 10  4332.7
 1985 09  5625·7
 1985 08  3328·1
 1985 07  8626.4
 1985 06  7822·7
 1985 05  4127·3
 1985 04  3338·8
 1985 03  1636.7
 1985 02  5129.5
 1985 01  2933·0
 1984 12 2537·2
 1984 11 6925·3
 1984 10 4937.7
 1984 09 4230.3
 1984 08 5931.0
 1984 07 2727·0
 1984 06 8724.2
 1984 05 2231·0
 1984 04 1031·5
 1984 03 9737.8
 1984 02 132·4
 1984 01 3924.3
 1983 12  7835·5
 1983 11  1037·9
 1983 10  5529.7
 1983 09  8824.0
 1983 08  8930·2
 1983 07  2324·0
 1983 06  3621·3
 1983 05  8624.5
 1983 04  9427.4
 1983 03  1838.1
 1983 02  5833·8
 1983 01  7934·7
 1982 12 6734.4
 1982 11 131·9
 1982 10 5729·7
 1982 09 3529·2
 1982 08 934.0
 1982 07 438·7
 1982 06 9828.8
 1982 05 4931·8
 1982 04 4631.3
 1982 03 8439·7
 1982 02 6847·4
 1982 01 4035·2
 1981 12  2835·2
 1981 11  2235.2
 1981 10  8029·2
 1981 09  5233·1
 1981 08  2931.6
 1981 07  2525·5
 1981 06  7227·1
 1981 05  5428.5
 1981 04  5221·4
 1981 03  2434·6
 1981 02  734.5
 1981 01  4029.1
 1980 12 2033.3
 1980 11 7742.1
 1980 10 7236·3
 1980 09 2934·0
 1980 08 8525.8
 1980 07 6438·2
 1980 06 8031.7
 1980 05 6629·2
 1980 04 2236.9
 1980 03 9352.6
 1980 02 7047.2
 1980 01 2033·3
 1979 12  3138·6
 1979 11  9532.7
 1979 10  536·6
 1979 09  8428.5
 1979 08  3725·8
 1979 07  2625·7
 1979 06  7126·3
 1979 05  7830.0
 1979 04  9233·4
 1979 03  6942.8
 1979 02  8239.9
 1979 01  4732·7
 1978 12 7035·9
 1978 11 3026.8
 1978 10 7727.3
 1978 09 5825·1
 1978 08 7127.9
 1978 07 4027·4
 1978 06 1726·5
 1978 05 736.1
 1978 04 2230·6
 1978 03 5742.9
 1978 02 9137·9
 1978 01 1234.6
 1977 12  7233.6
 1977 11  6232.8
 1977 10  1126.9
 1977 09  1823.3
 1977 08  9828.7
 1977 07  6123·5
 1977 06  1624.9
 1977 05  9419·3
 1977 04  9825.3
 1977 03  8733.1
 1977 02  6935·0
 1977 01  3332·1
 1976 12 9938.2
 1976 11 9532·8
 1976 10 5733·4
 1976 09 5626·5
 1976 08 5232.1
 1976 07 6825·8
 1976 06 9234.7
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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 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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