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 Series Title: Of Total Unemployed 16-19 years Percent 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 9740.8
 2012 03 1141.3
 2012 02 8144·2
 2012 01 946·5
 2011 12  2442.8
 2011 11  5244·6
 2011 10  2739·9
 2011 09  738.2
 2011 08  3534·9
 2011 07  1127.5
 2011 06  9227.6
 2011 05  2241·2
 2011 04  8347·2
 2011 03  6943.9
 2011 02  9040·3
 2011 01  9944·3
 2010 12 4146·5
 2010 11 3242.6
 2010 10 5842·6
 2010 09 634.5
 2010 08 1031·4
 2010 07 3228.7
 2010 06 6029·5
 2010 05 3839.0
 2010 04 1645·6
 2010 03 2647·1
 2010 02 8347·5
 2010 01 1543.8
 2009 12  945·4
 2009 11  9543.7
 2009 10  4041.9
 2009 09  7934.9
 2009 08  6530.0
 2009 07  4726.8
 2009 06  6926·3
 2009 05  035.9
 2009 04  8341·7
 2009 03  1237·5
 2009 02  3339·3
 2009 01  7336.4
 2008 12 9033·0
 2008 11 4727.5
 2008 10 2029.3
 2008 09 1728.0
 2008 08 3519.3
 2008 07 3514.3
 2008 06 4214·1
 2008 05 7521·0
 2008 04 9428.2
 2008 03 8127.4
 2008 02 3827.0
 2008 01 1726.0
 2007 12  6825·0
 2007 11  1721·9
 2007 10  7123·8
 2007 09  3720·5
 2007 08  8118.2
 2007 07  114·2
 2007 06  2714·4
 2007 05  5425·9
 2007 04  8427.8
 2007 03  1226.1
 2007 02  2125·9
 2007 01  1221.0
 2006 12 5321.8
 2006 11 5922.3
 2006 10 9122·0
 2006 09 8120·0
 2006 08 8816.3
 2006 07 7316·2
 2006 06 9812.9
 2006 05 5419·0
 2006 04 1522·7
 2006 03 1124.4
 2006 02 3124.9
 2006 01 5122·2
 2005 12  8324.9
 2005 11  5319·6
 2005 10  319·8
 2005 09  1521.2
 2005 08  6818.4
 2005 07  715.4
 2005 06  5116·3
 2005 05  1720.6
 2005 04  7122.5
 2005 03  529.1
 2005 02  3925.7
 2005 01  5026·8
 2004 12 1628.7
 2004 11 226.4
 2004 10 5525·6
 2004 09 3319·2
 2004 08 5516.5
 2004 07 8113.8
 2004 06 1115.7
 2004 05 1024·9
 2004 04 6326.7
 2004 03 4928.2
 2004 02 4528.9
 2004 01 5133.4
 2003 12  3928·2
 2003 11  3723.4
 2003 10  2125·7
 2003 09  4921.5
 2003 08  1019·6
 2003 07  118·2
 2003 06  2518·3
 2003 05  2426·2
 2003 04  2630·2
 2003 03  2327.0
 2003 02  7125.3
 2003 01  2023·9
 2002 12 6325.6
 2002 11 1020.8
 2002 10 9820.7
 2002 09 716.9
 2002 08 1914.7
 2002 07 9410.4
 2002 06 6613·3
 2002 05 7720.2
 2002 04 2221·9
 2002 03 3126.5
 2002 02 6627·3
 2002 01 5125.0
 2001 12  2223·5
 2001 11  318.0
 2001 10  918·2
 2001 09  7216.2
 2001 08  9315.2
 2001 07  1613·2
 2001 06  3311·0
 2001 05  1016.9
 2001 04  3619·6
 2001 03  221.2
 2001 02  219.9
 2001 01  5913.9
 2000 12 7714.9
 2000 11 1812·9
 2000 10 215·2
 2000 09 3710.9
 2000 08 6612·7
 2000 07 4510·6
 2000 06 4811.2
 2000 05 9014·0
 2000 04 7816.1
 2000 03 9012·2
 2000 02 7716.4
 2000 01 8614·9
 1999 12  1414.8
 1999 11  8511·0
 1999 10  5216.8
 1999 09  1913.0
 1999 08  9911.7
 1999 07  8610·3
 1999 06  6012.1
 1999 05  815.7
 1999 04  8418.7
 1999 03  7619·7
 1999 02  1518·8
 1999 01  9915·0
 1998 12 4317·5
 1998 11 5914·2
 1998 10 5414.0
 1998 09 5914·1
 1998 08 7813.8
 1998 07 6912·0
 1998 06 4110.7
 1998 05 8314·1
 1998 04 1420.8
 1998 03 6221.2
 1998 02 6320.9
 1998 01 9019.2
 1997 12  123·9
 1997 11  1917.2
 1997 10  3319.3
 1997 09  2416·4
 1997 08  1414.0
 1997 07  4712·0
 1997 06  9013.4
 1997 05  5421·8
 1997 04  5427·9
 1997 03  7923.3
 1997 02  9520.3
 1997 01  7522·8
 1996 12 4617·1
 1996 11 6917·7
 1996 10 3718.7
 1996 09 618·6
 1996 08 4117·3
 1996 07 113.9
 1996 06 2914.7
 1996 05 9021·0
 1996 04 1524.8
 1996 03 8021.4
 1996 02 920.9
 1996 01 9724·2
 1995 12  6619.8
 1995 11  3817.7
 1995 10  3918·3
 1995 09  2119.0
 1995 08  2216·0
 1995 07  3312·7
 1995 06  715·3
 1995 05  8124·6
 1995 04  3125.5
 1995 03  4529.1
 1995 02  2724.7
 1995 01  2223.7
 1994 12 7121.5
 1994 11 8124·4
 1994 10 3623·8
 1994 09 1219·0
 1994 08 4016·0
 1994 07 7416·9
 1994 06 9714·6
 1994 05 4622·2
 1994 04 6525.9
 1994 03 7929·1
 1994 02 9823.5
 1994 01 4223·6
 1993 12  9517·1
 1993 11  7812.3
 1993 10  5113.4
 1993 09  4513·8
 1993 08  78·6
 1993 07  777·9
 1993 06  969·0
 1993 05  2515.5
 1993 04  018·5
 1993 03  1020.8
 1993 02  9417.1
 1993 01  7416.7
 1992 12 020.6
 1992 11 3117.6
 1992 10 3417·3
 1992 09 1313.8
 1992 08 5810·9
 1992 07 238.7
 1992 06 2811.3
 1992 05 8518·8
 1992 04 4819.2
 1992 03 9219·6
 1992 02 1521.5
 1992 01 6019·4
 1991 12  7115.3
 1991 11  7113·7
 1991 10  5614.5
 1991 09  3110·5
 1991 08  539.3
 1991 07  158.0
 1991 06  417.8
 1991 05  1813.3
 1991 04  4414·7
 1991 03  614·7
 1991 02  8213·7
 1991 01  6513.8
 1990 12 1912.3
 1990 11 5213.2
 1990 10 179·9
 1990 09 427.6
 1990 08 796.2
 1990 07 834.5
 1990 06 84·7
 1990 05 419.0
 1990 04 4913·2
 1990 03 5611·8
 1990 02 4410.0
 1990 01 8410·8
 1989 12  8011.3
 1989 11  5310.8
 1989 10  3811.0
 1989 09  127.4
 1989 08  465·1
 1989 07  804·4
 1989 06  275.1
 1989 05  9610.4
 1989 04  4913.1
 1989 03  7012·8
 1989 02  7412·4
 1989 01  3112·6
 1988 12 1312.8
 1988 11 7810·4
 1988 10 6812·2
 1988 09 347.3
 1988 08 894·8
 1988 07 875·0
 1988 06 215·9
 1988 05 5011·1
 1988 04 5314.3
 1988 03 314·0
 1988 02 7114·1
 1988 01 4814·0
 1987 12  417·3
 1987 11  5812.0
 1987 10  8010.5
 1987 09  238·8
 1987 08  697·0
 1987 07  85·7
 1987 06  387·9
 1987 05  9415·5
 1987 04  9816·8
 1987 03  3513·3
 1987 02  5614.4
 1987 01  417.2
 1986 12 6513·5
 1986 11 4513.5
 1986 10 7312.3
 1986 09 2310.3
 1986 08 729·3
 1986 07 719·4
 1986 06 5110.1
 1986 05 4512.7
 1986 04 4318.8
 1986 03 6916.6
 1986 02 7817·4
 1986 01 8915.3
 1985 12  3015.1
 1985 11  2013.6
 1985 10  6814·3
 1985 09  9910·2
 1985 08  78·0
 1985 07  316·0
 1985 06  587.2
 1985 05  4414·1
 1985 04  7515.9
 1985 03  3518.2
 1985 02  1115·9
 1985 01  2015.6
 1984 12 6016.4
 1984 11 8715.4
 1984 10 1417.4
 1984 09 4314·6
 1984 08 1111·4
 1984 07 688.4
 1984 06 829·5
 1984 05 6020·3
 1984 04 425.1
 1984 03 8722.9
 1984 02 5121.8
 1984 01 3924.0
 1983 12  4021·8
 1983 11  7418.9
 1983 10  8517·6
 1983 09  7316·8
 1983 08  4413.4
 1983 07  8613·4
 1983 06  7112·4
 1983 05  8326.7
 1983 04  6625·9
 1983 03  531.1
 1983 02  2331.6
 1983 01  1230·0
 1982 12 8227·6
 1982 11 3724.5
 1982 10 7824·6
 1982 09 3018·4
 1982 08 9214.1
 1982 07 1412.1
 1982 06 9912.9
 1982 05 3022.8
 1982 04 2123.0
 1982 03 9222.2
 1982 02 7421.3
 1982 01 3322·4
 1981 12  2019·5
 1981 11  5417·5
 1981 10  1617·2
 1981 09  8114·9
 1981 08  6514.1
 1981 07  610·6
 1981 06  6310·5
 1981 05  4417·7
 1981 04  5525.3
 1981 03  7922·2
 1981 02  7820.3
 1981 01  1618·7
 1980 12 1620.2
 1980 11 3013·7
 1980 10 4816.8
 1980 09 1712.4
 1980 08 9810.8
 1980 07 418·1
 1980 06 868.0
 1980 05 9016·6
 1980 04 7818·5
 1980 03 1915.9
 1980 02 3214·9
 1980 01 514·4
 1979 12  5412·0
 1979 11  9510.2
 1979 10  4610.5
 1979 09  568·3
 1979 08  536.3
 1979 07  256.1
 1979 06  176·7
 1979 05  6114·1
 1979 04  2517.2
 1979 03  9216·0
 1979 02  5916·6
 1979 01  6614·0
 1978 12 4613.7
 1978 11 211·5
 1978 10 812.6
 1978 09 388·5
 1978 08 159.2
 1978 07 867·4
 1978 06 298.8
 1978 05 7414·3
 1978 04 5818·8
 1978 03 216.6
 1978 02 821.0
 1978 01 9017.9
 1977 12  2617·8
 1977 11  3012·8
 1977 10  5814.2
 1977 09  3210.2
 1977 08  949.3
 1977 07  789.9
 1977 06  1810.4
 1977 05  6921·2
 1977 04  6222.6
 1977 03  7820.9
 1977 02  5121.4
 1977 01  9520.5
 1976 12 5617.3
 1976 11 8516.8
 1976 10 4417.0
 1976 09 2914·9
 1976 08 2611.7
 1976 07 8110·8
 1976 06 1011.9
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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: Of Total Unemployed 16-19 years Percent 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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