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 Series Title: Of Total Unemployed 16-19 years Percent 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 4331.4
 2012 03 1930·1
 2012 02 1829·7
 2012 01 8625.7
 2011 12  9431.1
 2011 11  1427.9
 2011 10  2233.8
 2011 09  2132·0
 2011 08  9838·3
 2011 07  9538.8
 2011 06  1523·2
 2011 05  4427.0
 2011 04  724·9
 2011 03  4430·4
 2011 02  834.9
 2011 01  9627.1
 2010 12 9629·0
 2010 11 6732.0
 2010 10 4230·9
 2010 09 4833.5
 2010 08 6445.1
 2010 07 9642·7
 2010 06 7725·2
 2010 05 9324.0
 2010 04 3826·8
 2010 03 8827·2
 2010 02 230.3
 2010 01 5124·7
 2009 12  6830·1
 2009 11  2431.1
 2009 10  3030.6
 2009 09  6635.9
 2009 08  2944.2
 2009 07  1039.7
 2009 06  9925·7
 2009 05  728·1
 2009 04  2127·4
 2009 03  7931·5
 2009 02  7131·8
 2009 01  6830.1
 2008 12 7132·1
 2008 11 8736.6
 2008 10 3534·1
 2008 09 6932·8
 2008 08 2740.6
 2008 07 1642.7
 2008 06 429.4
 2008 05 5223.8
 2008 04 6730.9
 2008 03 7237·9
 2008 02 1437·1
 2008 01 8931.4
 2007 12  9032.5
 2007 11  8734·9
 2007 10  3035.5
 2007 09  7233·5
 2007 08  2137.5
 2007 07  1837.7
 2007 06  3923.0
 2007 05  2124·6
 2007 04  1132.3
 2007 03  4637.0
 2007 02  5433·0
 2007 01  8029·0
 2006 12 3531·3
 2006 11 7835.7
 2006 10 1330·7
 2006 09 1831.1
 2006 08 9441.5
 2006 07 4642.8
 2006 06 7923·0
 2006 05 2929.5
 2006 04 1430.6
 2006 03 632.8
 2006 02 3934.0
 2006 01 3335.1
 2005 12  4331·0
 2005 11  3933.6
 2005 10  734·3
 2005 09  7332.1
 2005 08  5939.3
 2005 07  5441·7
 2005 06  2023.4
 2005 05  1925·0
 2005 04  6132.0
 2005 03  8030·2
 2005 02  4235·9
 2005 01  6529·6
 2004 12 7431·7
 2004 11 7533.7
 2004 10 6033·6
 2004 09 3032·7
 2004 08 4941·5
 2004 07 2142·4
 2004 06 8724·0
 2004 05 5826·9
 2004 04 6228.4
 2004 03 2332.6
 2004 02 6131.1
 2004 01 1825·3
 2003 12  1332.8
 2003 11  1532.4
 2003 10  4533.4
 2003 09  534.8
 2003 08  2742·1
 2003 07  5140.5
 2003 06  2722.5
 2003 05  3726·7
 2003 04  5531.6
 2003 03  1531.5
 2003 02  1932.1
 2003 01  5925.5
 2002 12 7135·5
 2002 11 1234·2
 2002 10 6035.4
 2002 09 4037·2
 2002 08 7740.4
 2002 07 7540.3
 2002 06 1225.1
 2002 05 7329·4
 2002 04 9834·9
 2002 03 5929·9
 2002 02 6432.3
 2002 01 7929.6
 2001 12  8431·2
 2001 11  4737·5
 2001 10  2836·8
 2001 09  133·7
 2001 08  1036.0
 2001 07  4537.8
 2001 06  4220·0
 2001 05  827.0
 2001 04  7831.1
 2001 03  8634·2
 2001 02  6930.4
 2001 01  9529·4
 2000 12 1136.0
 2000 11 2435.3
 2000 10 9732.8
 2000 09 8030.5
 2000 08 6237·5
 2000 07 4338·0
 2000 06 3923.8
 2000 05 928·9
 2000 04 531.6
 2000 03 4835.6
 2000 02 3234·7
 2000 01 4930·4
 1999 12  4033·2
 1999 11  7235·9
 1999 10  4034.7
 1999 09  9532·1
 1999 08  9340.8
 1999 07  7033·3
 1999 06  5119·8
 1999 05  6730.8
 1999 04  1430.6
 1999 03  2634·1
 1999 02  7734·6
 1999 01  831.6
 1998 12 7935.1
 1998 11 4543.0
 1998 10 5631·8
 1998 09 8731·6
 1998 08 8837.9
 1998 07 5837.8
 1998 06 5127.0
 1998 05 9925.6
 1998 04 6732·9
 1998 03 2434.8
 1998 02 5133·5
 1998 01 6329.2
 1997 12  6533·7
 1997 11  2238·1
 1997 10  6735·8
 1997 09  2333.5
 1997 08  5946.5
 1997 07  6038·8
 1997 06  3823.5
 1997 05  4827.2
 1997 04  4828.1
 1997 03  7038·3
 1997 02  2739·4
 1997 01  3228.5
 1996 12 5841.2
 1996 11 834·9
 1996 10 2138.1
 1996 09 9533.4
 1996 08 4043.9
 1996 07 5641·6
 1996 06 3423.6
 1996 05 7929·6
 1996 04 6836·7
 1996 03 2135·2
 1996 02 336·4
 1996 01 5633·3
 1995 12  4437·4
 1995 11  3334.8
 1995 10  9238.8
 1995 09  1830.5
 1995 08  9245.6
 1995 07  5047·3
 1995 06  8723.9
 1995 05  8628·9
 1995 04  6429·0
 1995 03  5332.9
 1995 02  333.2
 1995 01  228.6
 1994 12 3337·8
 1994 11 5034.9
 1994 10 7737.0
 1994 09 3628.6
 1994 08 250·2
 1994 07 7137.4
 1994 06 7124·6
 1994 05 8328.1
 1994 04 9432.5
 1994 03 7329·3
 1994 02 7439.0
 1994 01 6226.8
 1993 12  6134.4
 1993 11  3934.6
 1993 10  9930.9
 1993 09  1626.3
 1993 08  7843·5
 1993 07  7437·1
 1993 06  8420·6
 1993 05  1423.8
 1993 04  4629.6
 1993 03  1030.5
 1993 02  9033·1
 1993 01  5225·7
 1992 12 8934.9
 1992 11 332.4
 1992 10 733.8
 1992 09 4728·6
 1992 08 5841.5
 1992 07 3739.4
 1992 06 4818·2
 1992 05 4526.3
 1992 04 2929·7
 1992 03 1633·9
 1992 02 4934.4
 1992 01 1427.6
 1991 12  139.4
 1991 11  7434·0
 1991 10  7435·2
 1991 09  4932·1
 1991 08  140.4
 1991 07  6536.3
 1991 06  1120·8
 1991 05  6826·3
 1991 04  7829·1
 1991 03  7333·3
 1991 02  7334·2
 1991 01  1628.8
 1990 12 932.9
 1990 11 326.1
 1990 10 9733.9
 1990 09 6225·8
 1990 08 9337·6
 1990 07 8830.8
 1990 06 4716.3
 1990 05 025.3
 1990 04 5627·4
 1990 03 8428·7
 1990 02 1130.5
 1990 01 4931.3
 1989 12  4832.0
 1989 11  7229·0
 1989 10  027.7
 1989 09  5321·9
 1989 08  4539.4
 1989 07  6033.5
 1989 06  5415·6
 1989 05  8225.4
 1989 04  4623.2
 1989 03  7825·3
 1989 02  3528·4
 1989 01  2924·4
 1988 12 7828.3
 1988 11 8429.0
 1988 10 3127.4
 1988 09 1426.1
 1988 08 9137·2
 1988 07 5934.8
 1988 06 5518·5
 1988 05 8126·3
 1988 04 6026·7
 1988 03 1030·1
 1988 02 4430·5
 1988 01 9928·6
 1987 12  8628.6
 1987 11  6928.7
 1987 10  6229·8
 1987 09  6222.9
 1987 08  9439·0
 1987 07  9137.3
 1987 06  9718·9
 1987 05  8921.1
 1987 04  3429·0
 1987 03  5931·8
 1987 02  6135·5
 1987 01  2525.4
 1986 12 8133·7
 1986 11 8032·2
 1986 10 9335·5
 1986 09 3830.7
 1986 08 3738.3
 1986 07 8531.9
 1986 06 5418·3
 1986 05 2424·1
 1986 04 2729·9
 1986 03 3031·0
 1986 02 3431.3
 1986 01 9930·5
 1985 12  029.0
 1985 11  9830.7
 1985 10  4531.8
 1985 09  1028·1
 1985 08  3343.8
 1985 07  9437·4
 1985 06  2419·9
 1985 05  2525.7
 1985 04  2531.8
 1985 03  5130.8
 1985 02  3630.8
 1985 01  3929.0
 1984 12 233·2
 1984 11 2629·8
 1984 10 6731·2
 1984 09 6929·6
 1984 08 1542.6
 1984 07 9941.3
 1984 06 3020.3
 1984 05 6229.2
 1984 04 3926.8
 1984 03 7730.6
 1984 02 6431.0
 1984 01 8526.8
 1983 12  7432·2
 1983 11  9336.4
 1983 10  3234·1
 1983 09  3331·2
 1983 08  4646·6
 1983 07  341.2
 1983 06  2022.0
 1983 05  2425·6
 1983 04  427·9
 1983 03  8830.6
 1983 02  4331·4
 1983 01  429·2
 1982 12 2531·3
 1982 11 5532·3
 1982 10 3731·1
 1982 09 4134.3
 1982 08 947.2
 1982 07 3641.5
 1982 06 6724·2
 1982 05 3026·4
 1982 04 8229.1
 1982 03 8731·5
 1982 02 1934·3
 1982 01 8928.3
 1981 12  9231.4
 1981 11  9032.2
 1981 10  732.3
 1981 09  6330.4
 1981 08  1742·0
 1981 07  5236·8
 1981 06  6920·5
 1981 05  2029.7
 1981 04  5625.8
 1981 03  431.7
 1981 02  6732·0
 1981 01  5626·6
 1980 12 3530.7
 1980 11 335·2
 1980 10 9035·8
 1980 09 8930.9
 1980 08 441·0
 1980 07 3040.9
 1980 06 4921·0
 1980 05 6324.3
 1980 04 3929·1
 1980 03 9337·8
 1980 02 8435.7
 1980 01 4729.0
 1979 12  4031·6
 1979 11  2231.8
 1979 10  5732.7
 1979 09  3627.5
 1979 08  3237.1
 1979 07  7537.9
 1979 06  5520·1
 1979 05  4826·7
 1979 04  6527·5
 1979 03  3330·3
 1979 02  9334·8
 1979 01  2831.5
 1978 12 1635.8
 1978 11 332·4
 1978 10 732.4
 1978 09 4626·9
 1978 08 8442·6
 1978 07 1638·5
 1978 06 6120·3
 1978 05 9428·5
 1978 04 9628·4
 1978 03 2932.3
 1978 02 4230.4
 1978 01 9226·6
 1977 12  032·7
 1977 11  2431·8
 1977 10  6433.8
 1977 09  8527.2
 1977 08  7344·2
 1977 07  740·5
 1977 06  6420·6
 1977 05  4226·5
 1977 04  1626·1
 1977 03  1031.5
 1977 02  533·5
 1977 01  5629.1
 1976 12 5234·2
 1976 11 9036.5
 1976 10 7532·1
 1976 09 4729·8
 1976 08 3444.4
 1976 07 2839·1
 1976 06 8723.5
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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 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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