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 Series Title: Percent of Total New Entrants 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 04 543.4
 2012 03 2047·6
 2012 02 9951.3
 2012 01 3858.5
 2011 12  5752.9
 2011 11  7955·8
 2011 10  2947·4
 2011 09  6243·5
 2011 08  1241·8
 2011 07  7428.8
 2011 06  9827·8
 2011 05  2245.7
 2011 04  2250.1
 2011 03  8646·8
 2011 02  1750.0
 2011 01  6353·6
 2010 12 6157.2
 2010 11 2252.9
 2010 10 2648·1
 2010 09 5340.2
 2010 08 3030·6
 2010 07 1425·1
 2010 06 8727·5
 2010 05 8645·7
 2010 04 5552·9
 2010 03 1954.8
 2010 02 8857.8
 2010 01 8358.1
 2009 12  8655·5
 2009 11  1849·9
 2009 10  4253.8
 2009 09  8635.3
 2009 08  9730·1
 2009 07  1824·9
 2009 06  8722·6
 2009 05  6538·5
 2009 04  9143·9
 2009 03  5044·5
 2009 02  8548.0
 2009 01  1554·4
 2008 12 9141.5
 2008 11 7234·1
 2008 10 2533·9
 2008 09 5334·3
 2008 08 4819.0
 2008 07 6411·8
 2008 06 1913.5
 2008 05 2620.4
 2008 04 3929.3
 2008 03 3334.2
 2008 02 536.2
 2008 01 036·4
 2007 12  6231.9
 2007 11  1131.1
 2007 10  4734.7
 2007 09  7228.2
 2007 08  4419.7
 2007 07  5611·2
 2007 06  3213.2
 2007 05  5935·2
 2007 04  3536·1
 2007 03  4732.3
 2007 02  7340·2
 2007 01  630·7
 2006 12 1029.7
 2006 11 9232·8
 2006 10 731·7
 2006 09 8226·8
 2006 08 7019·3
 2006 07 2316·0
 2006 06 9913·4
 2006 05 8225·9
 2006 04 4027·8
 2006 03 9626.4
 2006 02 3529.4
 2006 01 2430.5
 2005 12  7030.5
 2005 11  9325·1
 2005 10  2928.0
 2005 09  5325·0
 2005 08  3718·9
 2005 07  2117.1
 2005 06  1816.8
 2005 05  3724·5
 2005 04  3935.1
 2005 03  1140.3
 2005 02  6531·9
 2005 01  7139.4
 2004 12 431.1
 2004 11 1937.1
 2004 10 5938·2
 2004 09 7427·7
 2004 08 8015·6
 2004 07 2812.5
 2004 06 1114·9
 2004 05 9130.1
 2004 04 4433.9
 2004 03 4435.7
 2004 02 6134·4
 2004 01 8946·2
 2003 12  9538·4
 2003 11  9833·4
 2003 10  7137.6
 2003 09  6432.8
 2003 08  6019·3
 2003 07  4814.1
 2003 06  2816·4
 2003 05  3429.1
 2003 04  8832·5
 2003 03  7537.6
 2003 02  4637.0
 2003 01  4437·3
 2002 12 5639·7
 2002 11 8631·4
 2002 10 6330.8
 2002 09 6320·2
 2002 08 6215·4
 2002 07 129.3
 2002 06 4114.1
 2002 05 8525·3
 2002 04 3427.0
 2002 03 927·6
 2002 02 6939·2
 2002 01 2936·9
 2001 12  2040.7
 2001 11  6127·0
 2001 10  5831.1
 2001 09  3926.8
 2001 08  9813·9
 2001 07  7213.0
 2001 06  4813·1
 2001 05  8517.6
 2001 04  6625.4
 2001 03  7527·4
 2001 02  127·4
 2001 01  6029·3
 2000 12 5022.1
 2000 11 2716·2
 2000 10 523.7
 2000 09 8415.6
 2000 08 216·0
 2000 07 912·7
 2000 06 739·0
 2000 05 112.5
 2000 04 9516.7
 2000 03 2815·5
 2000 02 4219.9
 2000 01 7918·0
 1999 12  3114·7
 1999 11  1521·2
 1999 10  7632·9
 1999 09  1426.4
 1999 08  3518.7
 1999 07  279.5
 1999 06  6211·3
 1999 05  2425·0
 1999 04  5720.7
 1999 03  4522·8
 1999 02  1426.2
 1999 01  5324.5
 1998 12 7327·1
 1998 11 7723·5
 1998 10 6922·3
 1998 09 7118.5
 1998 08 8221·5
 1998 07 5417·3
 1998 06 909.6
 1998 05 7117·9
 1998 04 1225.9
 1998 03 3325·0
 1998 02 6524.1
 1998 01 7323.9
 1997 12  1128·9
 1997 11  9522.0
 1997 10  727·6
 1997 09  2124.9
 1997 08  5516.9
 1997 07  4613.7
 1997 06  5418·4
 1997 05  8426.4
 1997 04  4534.7
 1997 03  2033.4
 1997 02  6829.4
 1997 01  5736.0
 1996 12 626.5
 1996 11 7131·0
 1996 10 3831.7
 1996 09 5828·7
 1996 08 8920.7
 1996 07 8211.4
 1996 06 7711.6
 1996 05 3123.5
 1996 04 6823·8
 1996 03 6026·3
 1996 02 2230·6
 1996 01 4636.5
 1995 12  4541·0
 1995 11  3529.5
 1995 10  3627·5
 1995 09  9630.3
 1995 08  4419.4
 1995 07  6612·9
 1995 06  816·4
 1995 05  234.7
 1995 04  1638.5
 1995 03  3240.3
 1995 02  4932·1
 1995 01  636·1
 1994 12 3635.9
 1994 11 4237.0
 1994 10 9941.6
 1994 09 7934.0
 1994 08 517.6
 1994 07 2716.0
 1994 06 1913.7
 1994 05 1425.9
 1994 04 4928·5
 1994 03 4241·1
 1994 02 9834.3
 1994 01 3136·5
 1993 12  1719·9
 1993 11  7115.9
 1993 10  4917.5
 1993 09  7316·1
 1993 08  847.7
 1993 07  197·8
 1993 06  98.3
 1993 05  1018.8
 1993 04  5317.9
 1993 03  1823.8
 1993 02  4122.8
 1993 01  3619·3
 1992 12 4622.5
 1992 11 2522·6
 1992 10 3422.5
 1992 09 7017.3
 1992 08 169.9
 1992 07 228.0
 1992 06 09·5
 1992 05 5617·7
 1992 04 3816·8
 1992 03 1518.6
 1992 02 7721.9
 1992 01 6321·4
 1991 12  1118·0
 1991 11  3515·3
 1991 10  2817.6
 1991 09  8613·1
 1991 08  629.7
 1991 07  404·8
 1991 06  417.1
 1991 05  4413·6
 1991 04  408.8
 1991 03  1113·7
 1991 02  2915.1
 1991 01  8022·4
 1990 12 2114.5
 1990 11 5515·3
 1990 10 2911.2
 1990 09 649.6
 1990 08 66.0
 1990 07 32·0
 1990 06 55.0
 1990 05 908·6
 1990 04 2012.2
 1990 03 1213·7
 1990 02 449.1
 1990 01 7714.3
 1989 12  1311·8
 1989 11  6416.7
 1989 10  5916.9
 1989 09  708·8
 1989 08  603·9
 1989 07  642·9
 1989 06  894.6
 1989 05  3710·8
 1989 04  6312.4
 1989 03  4611.3
 1989 02  9514.7
 1989 01  7214·4
 1988 12 4615.0
 1988 11 6515·7
 1988 10 6721.7
 1988 09 9610.9
 1988 08 593·4
 1988 07 45·5
 1988 06 175.5
 1988 05 5112.0
 1988 04 7915·4
 1988 03 6814·2
 1988 02 8211.2
 1988 01 717.4
 1987 12  621·9
 1987 11  9014.5
 1987 10  2616·9
 1987 09  5913·1
 1987 08  648·2
 1987 07  265.3
 1987 06  367.6
 1987 05  2415·9
 1987 04  514.8
 1987 03  5715·3
 1987 02  2617.7
 1987 01  4821.5
 1986 12 314.8
 1986 11 9118·5
 1986 10 3317·9
 1986 09 013.6
 1986 08 608.1
 1986 07 597·9
 1986 06 216·4
 1986 05 7313·0
 1986 04 017.4
 1986 03 1817·4
 1986 02 7624·8
 1986 01 8718.4
 1985 12  7422.4
 1985 11  4817.4
 1985 10  1321.2
 1985 09  8713.8
 1985 08  577·6
 1985 07  585.9
 1985 06  687.7
 1985 05  4015.5
 1985 04  5115.8
 1985 03  7920.1
 1985 02  514·7
 1985 01  4223.3
 1984 12 7919·7
 1984 11 6623·8
 1984 10 1225·8
 1984 09 1120·5
 1984 08 9210.4
 1984 07 38.4
 1984 06 29·3
 1984 05 9120.4
 1984 04 6724.3
 1984 03 9526.4
 1984 02 1126.9
 1984 01 5225.8
 1983 12  323.9
 1983 11  7423·3
 1983 10  419·9
 1983 09  8815·6
 1983 08  2511·6
 1983 07  9713·3
 1983 06  6911·0
 1983 05  1928.9
 1983 04  8524.8
 1983 03  4530.2
 1983 02  1734.3
 1983 01  8735·5
 1982 12 5731·3
 1982 11 2531·1
 1982 10 8830·6
 1982 09 6221·2
 1982 08 4111.1
 1982 07 6910·1
 1982 06 439.1
 1982 05 3920·6
 1982 04 6416.2
 1982 03 3422.8
 1982 02 7123.0
 1982 01 3629·2
 1981 12  7624.7
 1981 11  022·8
 1981 10  8521·2
 1981 09  9815.5
 1981 08  5113.1
 1981 07  759.6
 1981 06  228.6
 1981 05  9416·6
 1981 04  9124.9
 1981 03  9025·2
 1981 02  4621.5
 1981 01  1822.5
 1980 12 2121.0
 1980 11 317.2
 1980 10 4421·1
 1980 09 8914.6
 1980 08 917.0
 1980 07 936·3
 1980 06 306.0
 1980 05 5115.9
 1980 04 7620·3
 1980 03 6917.3
 1980 02 4016.5
 1980 01 7418·6
 1979 12  7816·8
 1979 11  6214·5
 1979 10  3914.0
 1979 09  5111·5
 1979 08  206.3
 1979 07  285·7
 1979 06  145.1
 1979 05  214·3
 1979 04  5517·7
 1979 03  5018·0
 1979 02  7719.9
 1979 01  7018·0
 1978 12 5718·1
 1978 11 3316.2
 1978 10 6718.0
 1978 09 2610.5
 1978 08 267.0
 1978 07 97·3
 1978 06 468.6
 1978 05 6215.0
 1978 04 8818.3
 1978 03 3620.2
 1978 02 324.0
 1978 01 9924·4
 1977 12  9323·3
 1977 11  9420.9
 1977 10  5121.0
 1977 09  8014.1
 1977 08  1710·1
 1977 07  908.4
 1977 06  269.5
 1977 05  7520·8
 1977 04  6022·8
 1977 03  5722·3
 1977 02  9321·8
 1977 01  7727.3
 1976 12 4723·6
 1976 11 5021.3
 1976 10 3920·7
 1976 09 620.2
 1976 08 3010·7
 1976 07 518.6
 1976 06 7710·3
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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 New Entrants 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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