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 Series Title: Percent Of Job Losers For Other Reasons 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 9924.0
 2012 03 1425·4
 2012 02 9722.7
 2012 01 5629.6
 2011 12  2432.3
 2011 11  3729.6
 2011 10  3235·1
 2011 09  7535·2
 2011 08  1643.9
 2011 07  5828·2
 2011 06  6735·0
 2011 05  9436.1
 2011 04  2427·3
 2011 03  6026·9
 2011 02  1716.4
 2011 01  5546.4
 2010 12 2412.2
 2010 11 4838·0
 2010 10 1834·1
 2010 09 2838.1
 2010 08 1741.1
 2010 07 5429·9
 2010 06 3420·5
 2010 05 729.2
 2010 04 2826·1
 2010 03 3630·7
 2010 02 5325·0
 2010 01 1140.2
 2009 12  721.9
 2009 11  7424.5
 2009 10  8636.6
 2009 09  8543·8
 2009 08  3037.6
 2009 07  7630.1
 2009 06  7325·8
 2009 05  9733·5
 2009 04  9725.7
 2009 03  7226·0
 2009 02  7628.9
 2009 01  4241.1
 2008 12 3342·4
 2008 11 2048·0
 2008 10 8437.6
 2008 09 3946.2
 2008 08 8968·7
 2008 07 233.1
 2008 06 853·6
 2008 05 3242·2
 2008 04 4139·6
 2008 03 2326.7
 2008 02 8733·0
 2008 01 8948.7
 2007 12  8855.5
 2007 11  1555·1
 2007 10  8351.9
 2007 09  656·5
 2007 08  5658·1
 2007 07  3659.8
 2007 06  8549.6
 2007 05  153·9
 2007 04  9528.1
 2007 03  6737·3
 2007 02  649.8
 2007 01  1967.5
 2006 12 8260·4
 2006 11 1447·6
 2006 10 8369.9
 2006 09 2952·7
 2006 08 1544.8
 2006 07 957·6
 2006 06 7962.9
 2006 05 2460.6
 2006 04 2154·1
 2006 03 945·3
 2006 02 8342·4
 2006 01 2444·0
 2005 12  5143.8
 2005 11  9549·7
 2005 10  667·5
 2005 09  7359.8
 2005 08  7871.8
 2005 07  7573·8
 2005 06  8866.6
 2005 05  4065.1
 2005 04  456·0
 2005 03  7945.7
 2005 02  9032.4
 2005 01  2052·7
 2004 12 5558.3
 2004 11 6452.4
 2004 10 148.4
 2004 09 3159·8
 2004 08 7953.5
 2004 07 1261·0
 2004 06 3456.9
 2004 05 1857·6
 2004 04 5455·3
 2004 03 3041·9
 2004 02 2652.3
 2004 01 4938.9
 2003 12  7950·4
 2003 11  4860·4
 2003 10  4155·6
 2003 09  2056·1
 2003 08  8049.5
 2003 07  2563.2
 2003 06  6543.0
 2003 05  4848·0
 2003 04  733·1
 2003 03  4147·1
 2003 02  1344.5
 2003 01  7962.5
 2002 12 3644.9
 2002 11 452·5
 2002 10 2255.5
 2002 09 8155.3
 2002 08 6665·4
 2002 07 4450·8
 2002 06 5556·3
 2002 05 4846.2
 2002 04 2446.8
 2002 03 1838·3
 2002 02 045.1
 2002 01 055·8
 2001 12  5954.6
 2001 11  954·2
 2001 10  7063·1
 2001 09  8163·1
 2001 08  4873·1
 2001 07  2245.7
 2001 06  269.4
 2001 05  5954.6
 2001 04  8957.4
 2001 03  9036.8
 2001 02  6062·2
 2001 01  3063·4
 2000 12 1040.1
 2000 11 6857.7
 2000 10 3168.9
 2000 09 1272.1
 2000 08 6075.2
 2000 07 3967.1
 2000 06 2951·7
 2000 05 4960·1
 2000 04 1446.8
 2000 03 1069.2
 2000 02 9058.1
 2000 01 1061.3
 1999 12  7476.0
 1999 11  1143·6
 1999 10  7958·7
 1999 09  9168·9
 1999 08  6471.5
 1999 07  070·7
 1999 06  8371·5
 1999 05  849·6
 1999 04  3558.3
 1999 03  5859.3
 1999 02  1427·3
 1999 01  849·0
 1998 12 6144.0
 1998 11 9150.6
 1998 10 1260·2
 1998 09 5965.6
 1998 08 4573·4
 1998 07 3360.0
 1998 06 3856.6
 1998 05 5549.1
 1998 04 1053·1
 1998 03 3844·4
 1998 02 8049·2
 1998 01 1558·0
 1997 12  851.5
 1997 11  8945·1
 1997 10  5247.0
 1997 09  8454.1
 1997 08  1450·1
 1997 07  9250·4
 1997 06  9163.1
 1997 05  3061.9
 1997 04  2738.5
 1997 03  8039·8
 1997 02  6149·3
 1997 01  4853·2
 1996 12 7544·0
 1996 11 851·9
 1996 10 4842.9
 1996 09 5642.9
 1996 08 657.2
 1996 07 5850.4
 1996 06 6745·7
 1996 05 054.5
 1996 04 9652.5
 1996 03 3849·8
 1996 02 5449·3
 1996 01 4842.9
 1995 12  4649·6
 1995 11  7857.7
 1995 10  7339.8
 1995 09  9456·7
 1995 08  8160·3
 1995 07  3552.0
 1995 06  1256.8
 1995 05  5846.0
 1995 04  5246.4
 1995 03  9148·6
 1995 02  8442·7
 1995 01  8347·4
 1994 12 3450·5
 1994 11 5260.2
 1994 10 2552·9
 1994 09 3868·5
 1994 08 2756.7
 1994 07 5152·1
 1994 06 150·8
 1994 05 1946·0
 1994 04 5640.8
 1994 03 4346.9
 1994 02 9740.2
 1994 01 4453·0
 1993 12  7341.2
 1993 11  1151.2
 1993 10  2747.6
 1993 09  5657·1
 1993 08  5149·6
 1993 07  6154.2
 1993 06  3051.1
 1993 05  2645.8
 1993 04  9342·9
 1993 03  2530·0
 1993 02  6744.5
 1993 01  4852.6
 1992 12 2343·7
 1992 11 5840.8
 1992 10 2748.8
 1992 09 4062·6
 1992 08 9253.1
 1992 07 4449.1
 1992 06 2342.8
 1992 05 4643·1
 1992 04 7426.1
 1992 03 8933·6
 1992 02 9337.1
 1992 01 3738·2
 1991 12  7137·8
 1991 11  2438·0
 1991 10  9946.9
 1991 09  551.2
 1991 08  856·8
 1991 07  543·5
 1991 06  2949·4
 1991 05  7140·5
 1991 04  3536.9
 1991 03  1636·3
 1991 02  9642.4
 1991 01  7751.7
 1990 12 2858·2
 1990 11 6157.4
 1990 10 3953·5
 1990 09 9467.5
 1990 08 8669·8
 1990 07 7367·2
 1990 06 1967.4
 1990 05 1640.5
 1990 04 3647.4
 1990 03 958·4
 1990 02 2655.2
 1990 01 6158.0
 1989 12  2756·5
 1989 11  5052·1
 1989 10  7160·5
 1989 09  7475·8
 1989 08  3651.6
 1989 07  366·5
 1989 06  9371.3
 1989 05  2455.3
 1989 04  6259.0
 1989 03  9946·9
 1989 02  5543·2
 1989 01  559·6
 1988 12 3159·0
 1988 11 9561.3
 1988 10 4457.9
 1988 09 3765·7
 1988 08 9362·8
 1988 07 7269.8
 1988 06 7356·2
 1988 05 6245.6
 1988 04 2456.4
 1988 03 3830·4
 1988 02 8138.9
 1988 01 5256.2
 1987 12  2447·5
 1987 11  2452.1
 1987 10  3048·6
 1987 09  9967.4
 1987 08  1960·4
 1987 07  8760·4
 1987 06  832·2
 1987 05  2245·0
 1987 04  5848·8
 1987 03  847·4
 1987 02  2834.3
 1987 01  6757·5
 1986 12 1845.4
 1986 11 9348.6
 1986 10 2747.8
 1986 09 161.5
 1986 08 9864·2
 1986 07 7560.0
 1986 06 6941.7
 1986 05 2051·7
 1986 04 2439.1
 1986 03 1139·2
 1986 02 4242.7
 1986 01 4250·0
 1985 12  4751.9
 1985 11  8154·4
 1985 10  5950·3
 1985 09  1261.4
 1985 08  4258·7
 1985 07  9361·1
 1985 06  5661.6
 1985 05  9951.8
 1985 04  832.8
 1985 03  7744·3
 1985 02  9854.9
 1985 01  9653.9
 1984 12 7343.5
 1984 11 9257·9
 1984 10 7349·6
 1984 09 2352·2
 1984 08 8553·0
 1984 07 1756·2
 1984 06 9249·9
 1984 05 2434.4
 1984 04 2131·7
 1984 03 6134.6
 1984 02 9440.6
 1984 01 6847·2
 1983 12  8034.8
 1983 11  5441.4
 1983 10  4251·6
 1983 09  5054.9
 1983 08  8951.1
 1983 07  5452.0
 1983 06  2452.2
 1983 05  8835.7
 1983 04  9739.9
 1983 03  4130.1
 1983 02  5233.5
 1983 01  2634·9
 1982 12 8033·0
 1982 11 2440.7
 1982 10 6544.1
 1982 09 3545.0
 1982 08 3843·2
 1982 07 3228·8
 1982 06 2538·5
 1982 05 735.6
 1982 04 9733.4
 1982 03 2332·8
 1982 02 2133·9
 1982 01 6342.3
 1981 12  840.6
 1981 11  7948·7
 1981 10  6553.0
 1981 09  4552.5
 1981 08  4445·9
 1981 07  552·1
 1981 06  9452·5
 1981 05  2448·8
 1981 04  837.8
 1981 03  3534·3
 1981 02  7339.0
 1981 01  9344·5
 1980 12 2437.2
 1980 11 2438.3
 1980 10 8941·2
 1980 09 7254·9
 1980 08 4253·6
 1980 07 5443.8
 1980 06 5444·3
 1980 05 541.0
 1980 04 3935.7
 1980 03 3232·1
 1980 02 737·9
 1980 01 6148.3
 1979 12  1444.5
 1979 11  8950·1
 1979 10  1044.2
 1979 09  3360.6
 1979 08  9363·5
 1979 07  8260·1
 1979 06  5253·6
 1979 05  4245·7
 1979 04  2643.8
 1979 03  9243·9
 1979 02  4545·1
 1979 01  3155.0
 1978 12 8843.5
 1978 11 2754.7
 1978 10 2855·4
 1978 09 6955.0
 1978 08 8152.1
 1978 07 1857.8
 1978 06 6256·2
 1978 05 5241·6
 1978 04 2944.6
 1978 03 2139.6
 1978 02 3739.8
 1978 01 9651.0
 1977 12  8349·5
 1977 11  1858.1
 1977 10  6457·9
 1977 09  4862.8
 1977 08  1857.9
 1977 07  1755.9
 1977 06  8254.1
 1977 05  7639.1
 1977 04  3545.6
 1977 03  4737.8
 1977 02  5334.4
 1977 01  7443.7
 1976 12 5943·9
 1976 11 6744·0
 1976 10 6747.6
 1976 08 6146.2
 1976 07 4053.5
 1976 06 5832.9
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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 Job Losers For Other Reasons 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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