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 Series Title: Percent of Total New Entrants 16-19 years Unemployed Less than 5 Weeks: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 1525·9
 2012 03 9825·6
 2012 02 5024.4
 2012 01 6917.5
 2011 12  7417.5
 2011 11  8919·5
 2011 10  3818·4
 2011 09  7619.7
 2011 08  3718·3
 2011 07  1631.4
 2011 06  6449·7
 2011 05  1925.6
 2011 04  5526·1
 2011 03  6121·8
 2011 02  4217·9
 2011 01  4219·2
 2010 12 220·4
 2010 11 3017.3
 2010 10 821.2
 2010 09 1524.8
 2010 08 7916·7
 2010 07 5626.4
 2010 06 2747.7
 2010 05 3232.6
 2010 04 1226.8
 2010 03 9322·6
 2010 02 8614.9
 2010 01 1119·9
 2009 12  5021.1
 2009 11  2522·8
 2009 10  9818.7
 2009 09  9718·2
 2009 08  6917·6
 2009 07  5834·6
 2009 06  054·8
 2009 05  5929·7
 2009 04  7031.9
 2009 03  2327.4
 2009 02  5627·4
 2009 01  9122.3
 2008 12 7825.1
 2008 11 7723·0
 2008 10 5430·7
 2008 09 1333.2
 2008 08 4427·1
 2008 07 244·6
 2008 06 657·6
 2008 05 6851·8
 2008 04 4240·7
 2008 03 433.2
 2008 02 5031·1
 2008 01 2533.5
 2007 12  7335.8
 2007 11  1534·6
 2007 10  5031.8
 2007 09  7937.7
 2007 08  6331·3
 2007 07  9246.8
 2007 06  9267.3
 2007 05  4937.4
 2007 04  6238.7
 2007 03  1640·6
 2007 02  9140·3
 2007 01  7932·1
 2006 12 4535.6
 2006 11 9532.6
 2006 10 8334.6
 2006 09 3942·9
 2006 08 1232.0
 2006 07 5835·1
 2006 06 3365·3
 2006 05 2140.6
 2006 04 9037.8
 2006 03 6441.5
 2006 02 2741·1
 2006 01 4635.4
 2005 12  2836.0
 2005 11  9441·5
 2005 10  7832·2
 2005 09  5732·4
 2005 08  329.6
 2005 07  5436.7
 2005 06  2560·4
 2005 05  2447.7
 2005 04  1339·2
 2005 03  7734.6
 2005 02  3028.7
 2005 01  4129.3
 2004 12 8532·6
 2004 11 1827.9
 2004 10 8231·4
 2004 09 2735·5
 2004 08 6931.3
 2004 07 6039.1
 2004 06 9260·8
 2004 05 2645.9
 2004 04 4134.2
 2004 03 836·0
 2004 02 030·2
 2004 01 829·8
 2003 12  031·7
 2003 11  9637.2
 2003 10  6734·7
 2003 09  6529·4
 2003 08  7327·8
 2003 07  7937·0
 2003 06  8265.5
 2003 05  1942·0
 2003 04  938·3
 2003 03  3838.5
 2003 02  5834·5
 2003 01  1141.8
 2002 12 8427.4
 2002 11 8239.2
 2002 10 3334·8
 2002 09 1333·3
 2002 08 9834·7
 2002 07 4041.7
 2002 06 6964.3
 2002 05 1845·1
 2002 04 7837.5
 2002 03 7143·2
 2002 02 5431·4
 2002 01 4536.1
 2001 12  7228·9
 2001 11  5533.6
 2001 10  226.7
 2001 09  3827.0
 2001 08  5730.7
 2001 07  9943.8
 2001 06  4970·7
 2001 05  6650·2
 2001 04  3344.2
 2001 03  3536·3
 2001 02  6048.8
 2001 01  2435·9
 2000 12 2649·6
 2000 11 2043.2
 2000 10 2243·1
 2000 09 3146.2
 2000 08 8533·8
 2000 07 3543.3
 2000 06 4767·1
 2000 05 3049.8
 2000 04 8645·3
 2000 03 8649.3
 2000 02 7443.3
 2000 01 9246·1
 1999 12  3049·3
 1999 11  649.7
 1999 10  6629·4
 1999 09  933·0
 1999 08  4126.1
 1999 07  5151.5
 1999 06  1070·5
 1999 05  244·5
 1999 04  7148·5
 1999 03  248·3
 1999 02  1937·6
 1999 01  1444·0
 1998 12 9533.0
 1998 11 6735·4
 1998 10 3247.0
 1998 09 1436·6
 1998 08 1232·6
 1998 07 7745.4
 1998 06 1165.2
 1998 05 9752·4
 1998 04 4941·4
 1998 03 8838.2
 1998 02 4444·6
 1998 01 8233·4
 1997 12  5634.3
 1997 11  8334·9
 1997 10  4432·5
 1997 09  1337·6
 1997 08  923.4
 1997 07  6742·3
 1997 06  4862·3
 1997 05  5945.7
 1997 04  638·5
 1997 03  7338·1
 1997 02  2137.8
 1997 01  1429·7
 1996 12 7531·9
 1996 11 5839·9
 1996 10 4935.4
 1996 09 9834·0
 1996 08 6622·9
 1996 07 143.8
 1996 06 4566·2
 1996 05 5442.0
 1996 04 5339.1
 1996 03 1235·6
 1996 02 4833·7
 1996 01 5232·8
 1995 12  3725·0
 1995 11  2036·1
 1995 10  2040.0
 1995 09  8537.7
 1995 08  4425·6
 1995 07  8431.0
 1995 06  5060·3
 1995 05  7331·8
 1995 04  2434·4
 1995 03  8324·1
 1995 02  4938·8
 1995 01  6134.9
 1994 12 5229.8
 1994 11 2628·4
 1994 10 5622·6
 1994 09 1629·8
 1994 08 2920·5
 1994 07 4341·7
 1994 06 3463·1
 1994 05 3444·4
 1994 04 8040·2
 1994 03 9135·4
 1994 02 7129·7
 1994 01 3432·5
 1993 12  5644·2
 1993 11  5350.7
 1993 10  7956·0
 1993 09  5949.0
 1993 08  3245·5
 1993 07  3453·8
 1993 06  9772.6
 1993 05  7958.1
 1993 04  753·6
 1993 03  6650·9
 1993 02  8845.5
 1993 01  8757·6
 1992 12 938.8
 1992 11 647.4
 1992 10 3840.1
 1992 09 446.1
 1992 08 8739·5
 1992 07 3549·7
 1992 06 6274·9
 1992 05 7353·9
 1992 04 1655·9
 1992 03 6149·6
 1992 02 9747·3
 1992 01 6354·8
 1991 12  9748.6
 1991 11  1455.4
 1991 10  649·6
 1991 09  6952·6
 1991 08  5641.3
 1991 07  5257.5
 1991 06  7675.1
 1991 05  958·9
 1991 04  4261·4
 1991 03  5652.3
 1991 02  2257.3
 1991 01  2854·2
 1990 12 3148·1
 1990 11 3258·9
 1990 10 8053.3
 1990 09 9552.1
 1990 08 2446·2
 1990 07 1363·8
 1990 06 1382.6
 1990 05 466·5
 1990 04 4563.2
 1990 03 5558.0
 1990 02 1059·2
 1990 01 7454·2
 1989 12  4652.4
 1989 11  3951.8
 1989 10  8455·7
 1989 09  4964·4
 1989 08  148·3
 1989 07  7357·5
 1989 06  7180·1
 1989 05  9965.9
 1989 04  1164.0
 1989 03  8766·4
 1989 02  3560·1
 1989 01  1860.9
 1988 12 256.6
 1988 11 4057.5
 1988 10 6553·2
 1988 09 2461.7
 1988 08 2449·7
 1988 07 1154.6
 1988 06 7280.6
 1988 05 6263·2
 1988 04 5160.0
 1988 03 858·2
 1988 02 9559.9
 1988 01 153.8
 1987 12  8551.9
 1987 11  6258.2
 1987 10  9756.5
 1987 09  3560.0
 1987 08  5247·4
 1987 07  3152.2
 1987 06  6575.0
 1987 05  8362.9
 1987 04  053·6
 1987 03  9555·1
 1987 02  1350·9
 1987 01  9051·5
 1986 12 755·6
 1986 11 6252·1
 1986 10 7847.4
 1986 09 2551·5
 1986 08 7144.8
 1986 07 6356·2
 1986 06 2376.7
 1986 05 8160·8
 1986 04 1952·7
 1986 03 5456.3
 1986 02 3746·9
 1986 01 7852.8
 1985 12  151.8
 1985 11  1852·8
 1985 10  3145.2
 1985 09  6052·7
 1985 08  9241·4
 1985 07  6053·6
 1985 06  4472·9
 1985 05  9657·2
 1985 04  9353·2
 1985 03  1450.2
 1985 02  3953.8
 1985 01  8048·5
 1984 12 2945.0
 1984 11 3447.7
 1984 10 446.4
 1984 09 3247·4
 1984 08 5043·1
 1984 07 346.8
 1984 06 5170.3
 1984 05 9652.7
 1984 04 3352·3
 1984 03 2848.2
 1984 02 1943.1
 1984 01 4045.9
 1983 12  7642·9
 1983 11  4044.3
 1983 10  7046·1
 1983 09  5950.4
 1983 08  733·9
 1983 07  9641.2
 1983 06  9266·9
 1983 05  7145.5
 1983 04  7448.5
 1983 03  7741·6
 1983 02  9838·5
 1983 01  2240·7
 1982 12 5441·0
 1982 11 9040·0
 1982 10 2640.7
 1982 09 8138·4
 1982 08 4634.1
 1982 07 6746.7
 1982 06 3967·6
 1982 05 4052·5
 1982 04 7757·6
 1982 03 6448·4
 1982 02 2548·4
 1982 01 2148.5
 1981 12  9647.9
 1981 11  6349·3
 1981 10  9744.7
 1981 09  6551·7
 1981 08  8039·2
 1981 07  7148.2
 1981 06  9270·7
 1981 05  4452·4
 1981 04  2752·2
 1981 03  1949·6
 1981 02  7447.6
 1981 01  5152·6
 1980 12 6550.5
 1980 11 6451.9
 1980 10 3044·5
 1980 09 549.3
 1980 08 4341·3
 1980 07 8852·0
 1980 06 7376·6
 1980 05 5060.4
 1980 04 3654.9
 1980 03 9647·6
 1980 02 4154·4
 1980 01 5553.5
 1979 12  4559.7
 1979 11  2256·9
 1979 10  9853.0
 1979 09  1560·3
 1979 08  9648·0
 1979 07  2153.4
 1979 06  3074·3
 1979 05  4856.7
 1979 04  3857.0
 1979 03  7554·8
 1979 02  5146.7
 1979 01  049.3
 1978 12 4750.7
 1978 11 9155·5
 1978 10 9951.8
 1978 09 3857.4
 1978 08 2440·2
 1978 07 049·7
 1978 06 3671.5
 1978 05 5757·2
 1978 04 9455.1
 1978 03 6052.7
 1978 02 5146·3
 1978 01 7752·1
 1977 12  742·7
 1977 11  5146.9
 1977 10  5645·3
 1977 09  4153·0
 1977 08  3937.4
 1977 07  8046·2
 1977 06  9070·0
 1977 05  1951·6
 1977 04  9052·6
 1977 03  7947·6
 1977 02  1546·5
 1977 01  443.5
 1976 12 8546.1
 1976 11 542·6
 1976 10 1847·6
 1976 09 1646·8
 1976 08 7538.1
 1976 07 3947·1
 1976 06 1469·3
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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.
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: Percent of Total New Entrants 16-19 years Unemployed Less than 5 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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