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 Series Title: Of Total Unemployed 16-19 years Percent who are New Entrants: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 4554·3
 2012 03 8953.4
 2012 02 9149·7
 2012 01 4243.9
 2011 12  5650.9
 2011 11  4950.0
 2011 10  4054.4
 2011 09  7750·3
 2011 08  8951·3
 2011 07  6461·1
 2011 06  4660·6
 2011 05  6750.8
 2011 04  9652.8
 2011 03  1551.3
 2011 02  2245·7
 2011 01  5647·5
 2010 12 5152.1
 2010 11 950·9
 2010 10 552·0
 2010 09 1351·0
 2010 08 5455.6
 2010 07 7858·9
 2010 06 6056.6
 2010 05 3349·8
 2010 04 3248.2
 2010 03 7843·7
 2010 02 7345.3
 2010 01 3342.2
 2009 12  3446.4
 2009 11  9149·1
 2009 10  5841.9
 2009 09  6044·5
 2009 08  3646.3
 2009 07  2350.5
 2009 06  5347·6
 2009 05  8141·2
 2009 04  3939·8
 2009 03  738.7
 2009 02  2038·0
 2009 01  9232.3
 2008 12 6736·7
 2008 11 9835·1
 2008 10 4739·3
 2008 09 1039.4
 2008 08 7145·0
 2008 07 7947·3
 2008 06 4748·2
 2008 05 8037.9
 2008 04 2735·4
 2008 03 5739·1
 2008 02 5933·7
 2008 01 7230·6
 2007 12  3535·5
 2007 11  6239·2
 2007 10  4440.8
 2007 09  7940·1
 2007 08  2037.5
 2007 07  5147·1
 2007 06  9146.7
 2007 05  2132·1
 2007 04  3334·7
 2007 03  632.6
 2007 02  1331.2
 2007 01  4231·7
 2006 12 4834·7
 2006 11 3435·3
 2006 10 4836.1
 2006 09 1034·4
 2006 08 6741.0
 2006 07 6747·4
 2006 06 5846·6
 2006 05 2137·9
 2006 04 1537·3
 2006 03 6037.2
 2006 02 3137·8
 2006 01 9232.5
 2005 12  4336·4
 2005 11  9638·5
 2005 10  8136.6
 2005 09  6936.1
 2005 08  2540.0
 2005 07  8146.1
 2005 06  4545.3
 2005 05  2140.1
 2005 04  6139·2
 2005 03  4738·6
 2005 02  8635.9
 2005 01  4133.3
 2004 12 7934·5
 2004 11 5139.8
 2004 10 9236·4
 2004 09 4835·7
 2004 08 2739·2
 2004 07 7447.1
 2004 06 7643.3
 2004 05 8838·8
 2004 04 8136.5
 2004 03 2232·2
 2004 02 7631.2
 2004 01 2931.8
 2003 12  4233.2
 2003 11  2832·3
 2003 10  5432·3
 2003 09  6433·8
 2003 08  3537·3
 2003 07  4942·1
 2003 06  9941.1
 2003 05  1434.3
 2003 04  1035.3
 2003 03  6527·9
 2003 02  2323·8
 2003 01  2326·0
 2002 12 4324·1
 2002 11 8331·3
 2002 10 6525.7
 2002 09 5928.0
 2002 08 3434·5
 2002 07 3537·8
 2002 06 8734·8
 2002 05 1727.8
 2002 04 829·9
 2002 03 7828.7
 2002 02 7723·4
 2002 01 1520.5
 2001 12  1723.1
 2001 11  9327.9
 2001 10  4826·2
 2001 09  9925.4
 2001 08  3430.0
 2001 07  8736·2
 2001 06  3736.3
 2001 05  3629.0
 2001 04  6226·6
 2001 03  9220.5
 2001 02  919·0
 2001 01  2215·0
 2000 12 2424·4
 2000 11 6424.9
 2000 10 5024·6
 2000 09 7627·3
 2000 08 7232·8
 2000 07 8535.2
 2000 06 7437.3
 2000 05 4130.2
 2000 04 8123·1
 2000 03 6123·7
 2000 02 1821·2
 2000 01 8621.2
 1999 12  5224·1
 1999 11  2525·3
 1999 10  4527.3
 1999 09  726.1
 1999 08  831.4
 1999 07  3238·3
 1999 06  4435·3
 1999 05  2122·9
 1999 04  229·3
 1999 03  6524.0
 1999 02  2725·4
 1999 01  7424·7
 1998 12 825.4
 1998 11 3027.5
 1998 10 3229.1
 1998 09 3424.4
 1998 08 2829·0
 1998 07 5835·0
 1998 06 2239.4
 1998 05 9530.1
 1998 04 8533·1
 1998 03 729.8
 1998 02 8427·0
 1998 01 7724.2
 1997 12  3130.7
 1997 11  5728.5
 1997 10  3228·2
 1997 09  2327.5
 1997 08  4132.4
 1997 07  1738·4
 1997 06  434.0
 1997 05  329.7
 1997 04  1529.9
 1997 03  1728·6
 1997 02  6228·6
 1997 01  1125·6
 1996 12 7926·6
 1996 11 1327.4
 1996 10 9527.7
 1996 09 6731.8
 1996 08 8333·1
 1996 07 8840.2
 1996 06 1540.3
 1996 05 1328·8
 1996 04 330·3
 1996 03 4828·0
 1996 02 6028·9
 1996 01 2026.9
 1995 12  3924·1
 1995 11  2626·7
 1995 10  9325·6
 1995 09  8230·0
 1995 08  1634.2
 1995 07  7637·4
 1995 06  141·5
 1995 05  1730·0
 1995 04  8530.9
 1995 03  8230·5
 1995 02  9926·4
 1995 01  7025.0
 1994 12 2122.9
 1994 11 4930·7
 1994 10 2328.0
 1994 09 1026·1
 1994 08 2436.2
 1994 07 1039.3
 1994 06 3738.7
 1994 05 3131.1
 1994 04 2131.6
 1994 03 2128·5
 1994 02 2929·9
 1994 01 5228·9
 1993 12  6040.6
 1993 11  6442·9
 1993 10  1043·5
 1993 09  1744·0
 1993 08  1947.2
 1993 07  4451·3
 1993 06  2153.4
 1993 05  9646·4
 1993 04  9649.4
 1993 03  9544·9
 1993 02  2240.6
 1993 01  8342·2
 1992 12 1845·2
 1992 11 7343·1
 1992 10 240.8
 1992 09 9741.7
 1992 08 3551.9
 1992 07 5852·4
 1992 06 7454.2
 1992 05 8142·8
 1992 04 2247·3
 1992 03 5937.8
 1992 02 7637.6
 1992 01 638·3
 1991 12  7940.2
 1991 11  638·0
 1991 10  7139·9
 1991 09  6436.9
 1991 08  3342.7
 1991 07  5644.9
 1991 06  4645·9
 1991 05  7637.8
 1991 04  3338·2
 1991 03  9134.2
 1991 02  1528·6
 1991 01  8630·4
 1990 12 5533·7
 1990 11 1734·6
 1990 10 1534.3
 1990 09 6233·2
 1990 08 9942·3
 1990 07 6746.9
 1990 06 948·0
 1990 05 9940.6
 1990 04 9135.8
 1990 03 9634·7
 1990 02 8633.3
 1990 01 1631·9
 1989 12  8035.7
 1989 11  8733.9
 1989 10  5732·2
 1989 09  5731.0
 1989 08  4338.0
 1989 07  4548·4
 1989 06  6249.0
 1989 05  9140·2
 1989 04  8041·6
 1989 03  342·1
 1989 02  6237.6
 1989 01  1234.2
 1988 12 1642·6
 1988 11 1842.0
 1988 10 4640·3
 1988 09 4038·1
 1988 08 144·7
 1988 07 7050·9
 1988 06 2755.1
 1988 05 1944.4
 1988 04 1249.9
 1988 03 6742.2
 1988 02 4241.5
 1988 01 1741·5
 1987 12  4842.6
 1987 11  4042.0
 1987 10  5543·0
 1987 09  2945·5
 1987 08  3445·6
 1987 07  4652·1
 1987 06  5253.8
 1987 05  7448.9
 1987 04  2246·4
 1987 03  6741·9
 1987 02  4843.4
 1987 01  9740.3
 1986 12 8642.4
 1986 11 847.0
 1986 10 8142·9
 1986 09 6646.8
 1986 08 2751·9
 1986 07 355.7
 1986 06 1257·3
 1986 05 7546·9
 1986 04 7046·6
 1986 03 742.4
 1986 02 3044.6
 1986 01 4442·3
 1985 12  6640.5
 1985 11  144·4
 1985 10  4740·7
 1985 09  1642·5
 1985 08  8948·3
 1985 07  9456·0
 1985 06  357.4
 1985 05  6251.1
 1985 04  4248.5
 1985 03  1646·5
 1985 02  5841·7
 1985 01  7438·9
 1984 12 4840.7
 1984 11 2442·6
 1984 10 345·5
 1984 09 7345.7
 1984 08 5854.2
 1984 07 9957·5
 1984 06 4860.2
 1984 05 153.7
 1984 04 4950·6
 1984 03 4951·3
 1984 02 3343.1
 1984 01 3044·2
 1983 12  1945·8
 1983 11  444·6
 1983 10  2043.1
 1983 09  5248·4
 1983 08  9451·1
 1983 07  2254.4
 1983 06  9657·4
 1983 05  8648·4
 1983 04  2547·0
 1983 03  8542·1
 1983 02  7641.5
 1983 01  7838·8
 1982 12 8845.3
 1982 11 9842·7
 1982 10 9644·5
 1982 09 9547.2
 1982 08 8251·9
 1982 07 9350.9
 1982 06 2048·6
 1982 05 3342·9
 1982 04 3341.4
 1982 03 2839.2
 1982 02 3637.3
 1982 01 1034.6
 1981 12  9137·1
 1981 11  8336.0
 1981 10  5636·3
 1981 09  7139.9
 1981 08  3247·0
 1981 07  6648·8
 1981 06  1850.3
 1981 05  8341·1
 1981 04  5643.9
 1981 03  839·5
 1981 02  8636.3
 1981 01  4336·1
 1980 12 8938·0
 1980 11 6538.8
 1980 10 4636.3
 1980 09 6936·8
 1980 08 8140·6
 1980 07 2046·4
 1980 06 1344·9
 1980 05 437·9
 1980 04 733·8
 1980 03 7835.9
 1980 02 2335·4
 1980 01 1930.8
 1979 12  6733·6
 1979 11  7332.5
 1979 10  4035.9
 1979 09  735.8
 1979 08  8838.4
 1979 07  5945.5
 1979 06  5248.4
 1979 05  8743.5
 1979 04  1939.3
 1979 03  1935·8
 1979 02  7235.9
 1979 01  433·1
 1978 12 3733·6
 1978 11 6039.5
 1978 10 3736.9
 1978 09 2736.1
 1978 08 4048.2
 1978 07 1350.9
 1978 06 1050·5
 1978 05 4943.9
 1978 04 5542.3
 1978 03 3539.7
 1978 02 7936.4
 1978 01 9037.1
 1977 12  3237.8
 1977 11  739.3
 1977 10  5839.9
 1977 09  9539.7
 1977 08  4747·3
 1977 07  3653.5
 1977 06  8351·6
 1977 05  3241.7
 1977 04  9941.6
 1977 03  5441·1
 1977 02  1936.9
 1977 01  9534.9
 1976 12 1438.1
 1976 11 1739·0
 1976 10 5239.6
 1976 09 438·8
 1976 08 4443·2
 1976 07 746.8
 1976 06 9647.2
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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 who are New Entrants: 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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