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 Series Title: Percent of Total Job Losers 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 04 339.1
 2012 03 9539.0
 2012 02 3538·9
 2012 01 548·3
 2011 12  1543.3
 2011 11  7451.5
 2011 10  9440·4
 2011 09  1842.5
 2011 08  6957.8
 2011 07  2642.7
 2011 06  3045·8
 2011 05  551·2
 2011 04  1438.3
 2011 03  3337·6
 2011 02  5426·8
 2011 01  947·0
 2010 12 2734.9
 2010 11 244·9
 2010 10 544·2
 2010 09 145.9
 2010 08 751.7
 2010 07 6540.8
 2010 06 4541·4
 2010 05 7340·2
 2010 04 7933·8
 2010 03 7740·5
 2010 02 6338.1
 2010 01 4652·5
 2009 12  9634.3
 2009 11  2143·1
 2009 10  7250.3
 2009 09  6352.9
 2009 08  3146·8
 2009 07  441·8
 2009 06  837·9
 2009 05  9448.5
 2009 04  8535·2
 2009 03  5635·8
 2009 02  3634.5
 2009 01  3245·5
 2008 12 8357.8
 2008 11 3556·3
 2008 10 4344.5
 2008 09 9756·0
 2008 08 7671·9
 2008 07 2253.2
 2008 06 4159·4
 2008 05 3352.9
 2008 04 4052·7
 2008 03 2435·6
 2008 02 7045.5
 2008 01 962.2
 2007 12  7465.5
 2007 11  7367·9
 2007 10  9158.3
 2007 09  1963.9
 2007 08  470·6
 2007 07  2468·7
 2007 06  9356.1
 2007 05  8362.2
 2007 04  8151·4
 2007 03  6152.7
 2007 02  8852.9
 2007 01  4470·4
 2006 12 7970·5
 2006 11 8957.6
 2006 10 1575.3
 2006 09 7264·0
 2006 08 052·9
 2006 07 4065·6
 2006 06 3668·9
 2006 05 6066·1
 2006 04 6859.3
 2006 03 7141·7
 2006 02 3948·4
 2006 01 2954.9
 2005 12  3453.2
 2005 11  6360·6
 2005 10  3775·6
 2005 09  2166.1
 2005 08  7475·1
 2005 07  2374.6
 2005 06  6871.8
 2005 05  766.8
 2005 04  8762.3
 2005 03  8353·0
 2005 02  9548·2
 2005 01  8068.2
 2004 12 074.3
 2004 11 9967.7
 2004 10 661·1
 2004 09 5968.9
 2004 08 6258.7
 2004 07 5369.3
 2004 06 1362·9
 2004 05 9065·4
 2004 04 4970.8
 2004 03 5145·9
 2004 02 5552.3
 2004 01 3959.8
 2003 12  6162·8
 2003 11  2668.2
 2003 10  9461·8
 2003 09  361.1
 2003 08  2459.1
 2003 07  3472.9
 2003 06  1856.8
 2003 05  058.4
 2003 04  8846·0
 2003 03  5650.7
 2003 02  4148·6
 2003 01  7468.3
 2002 12 2954.0
 2002 11 9965.4
 2002 10 9958.0
 2002 09 9461·4
 2002 08 4674·5
 2002 07 9558·4
 2002 06 5766.8
 2002 05 5552.0
 2002 04 6647·7
 2002 03 042.8
 2002 02 251·8
 2002 01 7557·3
 2001 12  3863.8
 2001 11  9665·7
 2001 10  4674·1
 2001 09  9966·9
 2001 08  3975.1
 2001 07  9163.0
 2001 06  2871.8
 2001 05  9662.3
 2001 04  6861·9
 2001 03  1444·4
 2001 02  1059·7
 2001 01  6075·6
 2000 12 5155·5
 2000 11 2373·1
 2000 10 8170·9
 2000 09 1178·2
 2000 08 3875·9
 2000 07 069.6
 2000 06 5363·4
 2000 05 9171·6
 2000 04 454.8
 2000 03 5276.8
 2000 02 6460.1
 2000 01 7175·8
 1999 12  5178.0
 1999 11  969·0
 1999 10  7762·3
 1999 09  4475·8
 1999 08  373.6
 1999 07  2868·9
 1999 06  8169·8
 1999 05  3156·4
 1999 04  1161·0
 1999 03  9262.7
 1999 02  8739.5
 1999 01  7461·8
 1998 12 5052·8
 1998 11 757.6
 1998 10 3467.1
 1998 09 4373·6
 1998 08 2071·8
 1998 07 468.1
 1998 06 8465·1
 1998 05 3264.1
 1998 04 4863.6
 1998 03 4058.2
 1998 02 2754·7
 1998 01 6169·2
 1997 12  8364·1
 1997 11  9756.3
 1997 10  7355·2
 1997 09  7355.4
 1997 08  057.2
 1997 07  8166.2
 1997 06  6263·4
 1997 05  3770·6
 1997 04  159·6
 1997 03  2555.5
 1997 02  5652.3
 1997 01  4868.2
 1996 12 1063.5
 1996 11 8459.8
 1996 10 4357.5
 1996 09 2554.0
 1996 08 7965.7
 1996 07 4062.9
 1996 06 3656.4
 1996 05 1361.9
 1996 04 8160.9
 1996 03 057.0
 1996 02 7355·0
 1996 01 7951.9
 1995 12  1860.3
 1995 11  9666.7
 1995 10  1755·5
 1995 09  1861.7
 1995 08  1666·4
 1995 07  8463.6
 1995 06  5663.3
 1995 05  5057.3
 1995 04  2359·1
 1995 03  4651.0
 1995 02  250·4
 1995 01  1963.0
 1994 12 1761.0
 1994 11 8867.1
 1994 10 9359·8
 1994 09 9369·5
 1994 08 9761·9
 1994 07 4268.4
 1994 06 9359·1
 1994 05 6759.0
 1994 04 8948.8
 1994 03 6652·4
 1994 02 8953·9
 1994 01 6067.3
 1993 12  4247.6
 1993 11  3954.4
 1993 10  9453.7
 1993 09  1659.7
 1993 08  3356.1
 1993 07  7059·4
 1993 06  4657.5
 1993 05  450.5
 1993 04  6245·9
 1993 03  9038.9
 1993 02  844.3
 1993 01  1959·9
 1992 12 5449.2
 1992 11 5450·5
 1992 10 6855·5
 1992 09 7962.2
 1992 08 6056.2
 1992 07 4655.2
 1992 06 3847·7
 1992 05 2945.6
 1992 04 5532.0
 1992 03 7234·2
 1992 02 5742·0
 1992 01 3846·0
 1991 12  3942.4
 1991 11  6243.3
 1991 10  8850.9
 1991 09  054·9
 1991 08  3859·0
 1991 07  7549.6
 1991 06  1854·3
 1991 05  3349.0
 1991 04  239·0
 1991 03  9138.4
 1991 02  6044.9
 1991 01  8358·4
 1990 12 660·5
 1990 11 1760·8
 1990 10 5259·4
 1990 09 1972.6
 1990 08 5270·7
 1990 07 8568.0
 1990 06 5770·7
 1990 05 3449.8
 1990 04 6450.6
 1990 03 5256·4
 1990 02 6353.2
 1990 01 4861·6
 1989 12  9256.9
 1989 11  9958·5
 1989 10  8361.5
 1989 09  476.5
 1989 08  1361·2
 1989 07  3273·3
 1989 06  5572·0
 1989 05  7253·7
 1989 04  2658.4
 1989 03  8452·3
 1989 02  4150.8
 1989 01  4768.3
 1988 12 5763·1
 1988 11 1165·2
 1988 10 3064.2
 1988 09 4764.5
 1988 08 5766.4
 1988 07 9469·9
 1988 06 3461·7
 1988 05 1650·2
 1988 04 053·3
 1988 03 4139.9
 1988 02 9139·9
 1988 01 2360·8
 1987 12  8755·8
 1987 11  8353.9
 1987 10  6458.6
 1987 09  6371.4
 1987 08  4462·1
 1987 07  7661·1
 1987 06  4241·2
 1987 05  5548.9
 1987 04  2056.3
 1987 03  353.7
 1987 02  3643.2
 1987 01  4360·6
 1986 12 9250.5
 1986 11 7055·3
 1986 10 8552.3
 1986 09 9665.6
 1986 08 5966·3
 1986 07 865.6
 1986 06 5246.9
 1986 05 956.8
 1986 04 4842.3
 1986 03 7441·9
 1986 02 2548·2
 1986 01 9948·8
 1985 12  855·6
 1985 11  5060·4
 1985 10  1654·2
 1985 09  1265.1
 1985 08  1461.5
 1985 07  4265·1
 1985 06  6365.4
 1985 05  1757·8
 1985 04  6840·7
 1985 03  8344.8
 1985 02  3053.9
 1985 01  759·0
 1984 12 9450·4
 1984 11 2861·9
 1984 10 454·5
 1984 09 357·5
 1984 08 4457·0
 1984 07 6062.8
 1984 06 9755·9
 1984 05 4739.9
 1984 04 9238·8
 1984 03 8441·4
 1984 02 4945·7
 1984 01 1054.5
 1983 12  3842.2
 1983 11  3345·0
 1983 10  2253.3
 1983 09  8556.2
 1983 08  955.2
 1983 07  6456.5
 1983 06  355.5
 1983 05  9142.2
 1983 04  5443·5
 1983 03  5731·3
 1983 02  637·2
 1983 01  7343·8
 1982 12 4941·0
 1982 11 2045·9
 1982 10 6948·7
 1982 09 046·8
 1982 08 9545·2
 1982 07 8439.1
 1982 06 5344·0
 1982 05 6638.9
 1982 04 1638·5
 1982 03 633·4
 1982 02 4935·0
 1982 01 8948.0
 1981 12  6350·7
 1981 11  6853.7
 1981 10  6758·0
 1981 09  1555.2
 1981 08  1250.4
 1981 07  7657·2
 1981 06  4653·9
 1981 05  1349.2
 1981 04  6344·8
 1981 03  6140.7
 1981 02  5044·5
 1981 01  7551·6
 1980 12 4147·1
 1980 11 8145.7
 1980 10 6546.5
 1980 09 2352·5
 1980 08 9655·7
 1980 07 1745.0
 1980 06 550·5
 1980 05 9948.4
 1980 04 542·7
 1980 03 7532·8
 1980 02 739.0
 1980 01 7355·2
 1979 12  6751.5
 1979 11  8856·2
 1979 10  3551·2
 1979 09  3961·7
 1979 08  866·0
 1979 07  1265.3
 1979 06  7763.3
 1979 05  1650·7
 1979 04  7849·7
 1979 03  2844.9
 1979 02  4548.3
 1979 01  4855.5
 1978 12 5352.9
 1978 11 4462.7
 1978 10 7761·1
 1978 09 562·2
 1978 08 3356.0
 1978 07 9162·7
 1978 06 3660·3
 1978 05 8047.6
 1978 04 4346·4
 1978 03 2540.7
 1978 02 1042·8
 1978 01 9455.3
 1977 12  3455·4
 1977 11  2862.8
 1977 10  1262·0
 1977 09  8965.8
 1977 08  8158.3
 1977 07  760·8
 1977 06  7957.3
 1977 05  3549·3
 1977 04  8547·6
 1977 03  9442.8
 1977 02  7540.7
 1977 01  2651·0
 1976 12 7150.6
 1976 11 4448·8
 1976 10 8852·4
 1976 09 8159.5
 1976 08 8952.4
 1976 07 4156·3
 1976 06 3039.0
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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.
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 Job Losers 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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