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 Series Title: Percent of Total Job Leavers 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 04 360.0
 2012 03 810.0
 2012 02 480.0
 2012 01 850·0
 2011 12  620.0
 2011 09  5136·3
 2011 06  2840.7
 2011 05  9646.7
 2011 04  4254·3
 2011 03  725·3
 2011 02  9543·0
 2011 01  9326.2
 2010 12 260.0
 2010 11 3140·7
 2010 10 6429·6
 2010 09 2026.7
 2010 08 8925·7
 2010 07 2942.8
 2010 06 7249·0
 2010 05 4716.7
 2010 04 3346.9
 2010 03 333.1
 2010 02 8333·7
 2010 01 6832·6
 2009 12  8129·2
 2009 11  039.7
 2009 10  8329·5
 2009 09  151·2
 2009 08  8622.0
 2009 07  1116·3
 2009 06  8643·9
 2009 05  9126.0
 2009 04  2234·2
 2009 03  7229·9
 2009 02  3035.7
 2009 01  748.7
 2008 12 9023·4
 2008 11 1645.4
 2008 10 7739·9
 2008 09 4339·6
 2008 08 1420·8
 2008 07 9922·5
 2008 06 1621.8
 2008 05 1827·1
 2008 04 4628·0
 2008 03 351·1
 2008 02 6043·6
 2008 01 7733.7
 2007 12  6027.3
 2007 11  3455.7
 2007 10  4544.2
 2007 09  8845·3
 2007 08  5841.9
 2007 07  2428.8
 2007 06  3637.0
 2007 05  4722.2
 2007 04  6430.8
 2007 03  3030.1
 2007 02  2041.4
 2007 01  7136.0
 2006 12 2938·8
 2006 11 3347.4
 2006 10 1026.4
 2006 09 439·0
 2006 08 2918·3
 2006 07 4027·9
 2006 06 4433.4
 2006 05 1820·6
 2006 04 6328.3
 2006 03 8331·4
 2006 02 8532·8
 2006 01 435·9
 2005 12  5727.9
 2005 11  1828·9
 2005 10  2022·4
 2005 09  8322.2
 2005 08  6226·7
 2005 07  2715.5
 2005 06  6319.2
 2005 05  9825.4
 2005 04  5244·3
 2005 03  1619.4
 2005 02  5131·3
 2005 01  1938·9
 2004 12 2936.1
 2004 11 1730.8
 2004 10 4833·0
 2004 09 4022.6
 2004 08 1714·4
 2004 07 8728·6
 2004 06 4143.0
 2004 05 8034·4
 2004 04 687.3
 2004 03 838·3
 2004 02 4328.5
 2004 01 8321·4
 2003 12  5650·8
 2003 11  8540.5
 2003 10  9251.8
 2003 09  1820.4
 2003 08  8229.6
 2003 07  5222·0
 2003 06  5128.0
 2003 05  8048·8
 2003 04  7130.7
 2003 03  6332·7
 2003 02  719·0
 2003 01  8729.8
 2002 12 7328·1
 2002 11 238.7
 2002 10 7532·7
 2002 09 8336.1
 2002 08 6532.3
 2002 07 7432·3
 2002 06 9125.3
 2002 05 3952.3
 2002 04 4635.2
 2002 03 1217.6
 2002 02 1828.0
 2002 01 4838.6
 2001 12  4126.9
 2001 11  7130·0
 2001 10  4547.5
 2001 09  2837.7
 2001 08  210·9
 2001 07  3427·9
 2001 06  8426.0
 2001 05  2511·3
 2001 04  416·9
 2001 03  828·3
 2001 02  7337.8
 2001 01  829·5
 2000 12 4616.2
 2000 11 2337.0
 2000 10 7535.9
 2000 09 7038.1
 2000 08 5528·6
 2000 07 3623·8
 2000 06 7820·6
 2000 05 3029·1
 2000 04 8025.5
 2000 03 3040·6
 2000 02 9545·1
 2000 01 3330·7
 1999 12  9832·5
 1999 11  1040.0
 1999 10  6321.9
 1999 09  4926.6
 1999 08  823·5
 1999 07  914.7
 1999 06  4625.1
 1999 05  7024.5
 1999 04  3626.1
 1999 03  8241·9
 1999 02  3227·7
 1999 01  1729.1
 1998 12 3224.6
 1998 11 1338·0
 1998 10 3335.9
 1998 09 3325.2
 1998 08 7225·6
 1998 07 735·8
 1998 06 8732·1
 1998 05 8720·9
 1998 04 5618.5
 1998 03 9533·2
 1998 02 5734.9
 1998 01 7422·7
 1997 12  1026.8
 1997 11  3623.9
 1997 10  3142·6
 1997 09  1329.7
 1997 08  8329.4
 1997 07  919·8
 1997 06  2318.6
 1997 05  4828·1
 1997 04  5231.2
 1997 03  2345.7
 1997 02  6962.6
 1997 01  4826.6
 1996 12 1653.7
 1996 11 741.6
 1996 10 3337·6
 1996 09 717·0
 1996 08 127.4
 1996 07 2129·7
 1996 06 228·0
 1996 05 4438·3
 1996 04 5848·6
 1996 03 4346·2
 1996 02 9038·2
 1996 01 432·7
 1995 12  6236.3
 1995 11  8329·9
 1995 10  3446·6
 1995 09  5619.0
 1995 08  1223·0
 1995 07  7025·9
 1995 06  9830.1
 1995 05  9329·3
 1995 04  3635.5
 1995 03  6221.5
 1995 02  6832·2
 1995 01  3516·1
 1994 12 8235.6
 1994 11 4124.6
 1994 10 5953·6
 1994 09 2718.6
 1994 08 2737·7
 1994 07 1220·9
 1994 06 814·8
 1994 05 3648.1
 1994 04 7036·6
 1994 03 822·4
 1994 02 7751·6
 1994 01 589·0
 1993 12  3834·9
 1993 11  8534·0
 1993 10  5536·4
 1993 09  1111·7
 1993 08  8031.5
 1993 07  2622.4
 1993 06  5515·7
 1993 05  4021.1
 1993 04  7234.9
 1993 03  3634.3
 1993 02  1426.3
 1993 01  1431·1
 1992 12 1435·6
 1992 11 4734·3
 1992 10 9636·4
 1992 09 2615.0
 1992 08 3223·8
 1992 07 1621·8
 1992 06 8815·7
 1992 05 9728·7
 1992 04 7623.1
 1992 03 2421.3
 1992 02 330.2
 1992 01 7027·1
 1991 12  2242·8
 1991 11  7836·6
 1991 10  8047.5
 1991 09  1427·9
 1991 08  7025.0
 1991 07  1123.1
 1991 06  8023·0
 1991 05  2425·4
 1991 04  4420.9
 1991 03  7732·5
 1991 02  9235·7
 1991 01  1831.7
 1990 12 9726·2
 1990 11 6024·2
 1990 10 2931.4
 1990 09 4122.3
 1990 08 216·5
 1990 07 6619·4
 1990 06 2829·9
 1990 05 6127·4
 1990 04 6131·3
 1990 03 2529·8
 1990 02 5334.2
 1990 01 7428·1
 1989 12  9925·9
 1989 11  9618.7
 1989 10  9123·2
 1989 09  9819.9
 1989 08  6631·0
 1989 07  5929·7
 1989 06  5625·7
 1989 05  7826·3
 1989 04  3820·0
 1989 03  2222.9
 1989 02  8527.3
 1989 01  8125·0
 1988 12 1529.1
 1988 11 1526.5
 1988 10 4131·2
 1988 09 422.8
 1988 08 2222.6
 1988 07 9625.9
 1988 06 1232·0
 1988 05 6435.8
 1988 04 1030.4
 1988 03 4628.4
 1988 02 1029.7
 1988 01 629·2
 1987 12  5437·0
 1987 11  7231·2
 1987 10  7530.3
 1987 09  9919.4
 1987 08  5533.1
 1987 07  626·2
 1987 06  6824·9
 1987 05  3721.7
 1987 04  3731·6
 1987 03  339·0
 1987 02  7828.5
 1987 01  3926·2
 1986 12 5243.8
 1986 11 4734·2
 1986 10 1723.1
 1986 09 5021.9
 1986 08 7516·9
 1986 07 4223·6
 1986 06 2329.7
 1986 05 3816·4
 1986 04 611.6
 1986 03 2230·3
 1986 02 6029·6
 1986 01 9828.3
 1985 12  7026.3
 1985 11  4226.5
 1985 10  1529.1
 1985 09  4920·2
 1985 08  1826·8
 1985 07  8528.4
 1985 06  023·6
 1985 05  3524·3
 1985 04  2623·5
 1985 03  5637·1
 1985 02  5526.9
 1985 01  2528.2
 1984 12 9328.8
 1984 11 8834·6
 1984 10 4118.7
 1984 09 1313·6
 1984 08 4624·5
 1984 07 3834·5
 1984 06 4724·5
 1984 05 1940.5
 1984 04 3427·4
 1984 03 8631.5
 1984 02 8629.4
 1984 01 8623.4
 1983 12  3238·9
 1983 11  3936·8
 1983 10  9533.7
 1983 09  8434·3
 1983 08  4239·7
 1983 07  3030·8
 1983 06  3720·4
 1983 05  736.9
 1983 04  8934·7
 1983 03  1527·6
 1983 02  137·0
 1983 01  7434·3
 1982 12 2340.1
 1982 11 7547.1
 1982 10 9943.9
 1982 09 2932·0
 1982 08 1928.8
 1982 07 1734.8
 1982 06 6817.7
 1982 05 4116·8
 1982 04 7837.0
 1982 03 7334·9
 1982 02 7324·6
 1982 01 529·9
 1981 12  2534·6
 1981 11  9932.4
 1981 10  031·5
 1981 09  3926.6
 1981 08  1133·2
 1981 07  7723.9
 1981 06  6322·2
 1981 05  8731.1
 1981 04  1133.4
 1981 03  1430.2
 1981 02  025·8
 1981 01  2033.6
 1980 12 2529·6
 1980 11 4131·9
 1980 10 7334·6
 1980 09 3127.8
 1980 08 7941.7
 1980 07 1537.7
 1980 06 7028·5
 1980 05 3825·0
 1980 04 2323.5
 1980 03 1731.4
 1980 02 528.0
 1980 01 8722.8
 1979 12  3239.8
 1979 11  5528.2
 1979 10  1535·0
 1979 09  4628·0
 1979 08  828.3
 1979 07  5935·1
 1979 06  6320.2
 1979 05  1025·2
 1979 04  7531.3
 1979 03  8725.2
 1979 02  3640.7
 1979 01  9837·7
 1978 12 8440.3
 1978 11 2028·2
 1978 10 4928.8
 1978 09 5318.5
 1978 08 931.2
 1978 07 6525.9
 1978 06 3815·4
 1978 05 4520.8
 1978 04 5332.5
 1978 03 5327.3
 1978 02 6722.2
 1978 01 6825·9
 1977 12  3929·5
 1977 11  4121.3
 1977 10  2334·5
 1977 09  4219·7
 1977 08  1824.7
 1977 07  1124·5
 1977 06  2020·6
 1977 05  1023.0
 1977 04  6729·1
 1977 03  6928·4
 1977 02  9535.8
 1977 01  4132·5
 1976 12 8426·1
 1976 11 4832·6
 1976 10 1126·1
 1976 09 3023·0
 1976 08 9628.1
 1976 07 221.1
 1976 06 5631·0
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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 Job Leavers 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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