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 Series Title: Of Total Unemployed 16-19 years Percent who are Reentrants to Labor Force: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 3028.3
 2012 03 1828.6
 2012 02 7233·1
 2012 01 736.1
 2011 12  6329.8
 2011 11  8231.9
 2011 10  528.9
 2011 09  831·6
 2011 08  4431.4
 2011 07  2526.4
 2011 06  2130.2
 2011 05  8933·8
 2011 04  2330.0
 2011 03  2931·4
 2011 02  3234·5
 2011 01  9429·4
 2010 12 7529·6
 2010 11 232.2
 2010 10 7530·6
 2010 09 9229.1
 2010 08 127.6
 2010 07 7428·8
 2010 06 1532·3
 2010 05 7832·2
 2010 04 2634·9
 2010 03 337.9
 2010 02 3833.6
 2010 01 7035·1
 2009 12  033·6
 2009 11  6932·1
 2009 10  5837.0
 2009 09  1234·3
 2009 08  033·8
 2009 07  8031.4
 2009 06  1237.8
 2009 05  7535·9
 2009 04  2436.4
 2009 03  6835.7
 2009 02  6337.1
 2009 01  5139.7
 2008 12 037·8
 2008 11 8836·7
 2008 10 036·3
 2008 09 6036·6
 2008 08 7736.1
 2008 07 2237.4
 2008 06 3638·1
 2008 05 4743·0
 2008 04 3038·5
 2008 03 7837·5
 2008 02 741·5
 2008 01 8038·5
 2007 12  6039·8
 2007 11  8641.2
 2007 10  7738·3
 2007 09  5336.3
 2007 08  9237.8
 2007 07  432.5
 2007 06  3438·1
 2007 05  8645.6
 2007 04  7739·5
 2007 03  1343.8
 2007 02  9142.4
 2007 01  2241·8
 2006 12 9042.2
 2006 11 2043·6
 2006 10 8540.9
 2006 09 3242·9
 2006 08 3139.6
 2006 07 5638.6
 2006 06 8040·4
 2006 05 842·2
 2006 04 2740·3
 2006 03 7742.6
 2006 02 6339.8
 2006 01 7142.6
 2005 12  2640·4
 2005 11  6741.0
 2005 10  4841·7
 2005 09  6440.3
 2005 08  536·8
 2005 07  3138.9
 2005 06  7144.0
 2005 05  5642·3
 2005 04  6442.9
 2005 03  041.6
 2005 02  9740·6
 2005 01  4244.3
 2004 12 2943.2
 2004 11 3239·1
 2004 10 1343·2
 2004 09 4140.4
 2004 08 4937·2
 2004 07 934.2
 2004 06 3244·2
 2004 05 9746.0
 2004 04 143·2
 2004 03 3647.1
 2004 02 9146.6
 2004 01 7844.7
 2003 12  8440.4
 2003 11  4543.7
 2003 10  5444.1
 2003 09  8040·5
 2003 08  2439.8
 2003 07  9441·9
 2003 06  946.4
 2003 05  2145.9
 2003 04  7144.9
 2003 03  6445.7
 2003 02  6851·2
 2003 01  4545·0
 2002 12 148.8
 2002 11 6045·0
 2002 10 6951·6
 2002 09 2245·2
 2002 08 1539·5
 2002 07 1645·0
 2002 06 7649·6
 2002 05 4651.2
 2002 04 3648·2
 2002 03 8848.8
 2002 02 7551.5
 2002 01 3647·7
 2001 12  1747·0
 2001 11  5646·1
 2001 10  8147·9
 2001 09  3548.9
 2001 08  3244.2
 2001 07  2944.9
 2001 06  3147·3
 2001 05  1451.2
 2001 04  8250·4
 2001 03  3753.5
 2001 02  8756·7
 2001 01  6651·0
 2000 12 9248·6
 2000 11 3851·3
 2000 10 3849·4
 2000 09 1047.3
 2000 08 1237·6
 2000 07 1241.5
 2000 06 9646·3
 2000 05 9150·2
 2000 04 1847·2
 2000 03 6751·8
 2000 02 054.2
 2000 01 7850·0
 1999 12  1148·0
 1999 11  3447·8
 1999 10  1347·9
 1999 09  6543.1
 1999 08  1540·0
 1999 07  7042·6
 1999 06  2145.2
 1999 05  7055·2
 1999 04  8151·0
 1999 03  5651·6
 1999 02  3949·7
 1999 01  3945.0
 1998 12 8446·0
 1998 11 9947·7
 1998 10 349.3
 1998 09 3946·7
 1998 08 2645.4
 1998 07 3143.4
 1998 06 7846.3
 1998 05 6751·6
 1998 04 3047.7
 1998 03 849.8
 1998 02 5051.1
 1998 01 3950.6
 1997 12  4948·1
 1997 11  1347·6
 1997 10  3348·3
 1997 09  243·3
 1997 08  5639·7
 1997 07  5142.3
 1997 06  6449.8
 1997 05  2352·9
 1997 04  5251.4
 1997 03  5451·7
 1997 02  749·2
 1997 01  9747.8
 1996 12 6448·8
 1996 11 7950.3
 1996 10 5046·9
 1996 09 4444.8
 1996 08 4045·1
 1996 07 843·9
 1996 06 447·2
 1996 05 653·8
 1996 04 5749.7
 1996 03 4650·1
 1996 02 948.2
 1996 01 5445·8
 1995 12  1546.8
 1995 11  2743.9
 1995 10  2748.6
 1995 09  8245·5
 1995 08  4042.0
 1995 07  643.7
 1995 06  4544.7
 1995 05  848·2
 1995 04  8145·3
 1995 03  6545.2
 1995 02  7848.2
 1995 01  7747·7
 1994 12 1453.3
 1994 11 1150.5
 1994 10 6249.5
 1994 09 5849.8
 1994 08 4041.5
 1994 07 7642.8
 1994 06 6148·5
 1994 05 4554·2
 1994 04 8350·2
 1994 03 1548·2
 1994 02 6244.6
 1994 01 5745·6
 1993 12  9523·4
 1993 11  1127.2
 1993 10  7829.0
 1993 09  3827.9
 1993 08  5121·8
 1993 07  7026.6
 1993 06  4827.3
 1993 05  5829.8
 1993 04  5121.0
 1993 03  2524·2
 1993 02  3424·7
 1993 01  1125·4
 1992 12 2023·2
 1992 11 3125.3
 1992 10 2428.6
 1992 09 1627·4
 1992 08 919·9
 1992 07 7025·0
 1992 06 3127.2
 1992 05 1627.0
 1992 04 9324.8
 1992 03 4930·5
 1992 02 9328·9
 1992 01 8228.8
 1991 12  7323·3
 1991 11  9924.6
 1991 10  7226.9
 1991 09  626·2
 1991 08  7422·2
 1991 07  7826·1
 1991 06  5728·8
 1991 05  932.2
 1991 04  4628·0
 1991 03  6629·6
 1991 02  6125.3
 1991 01  3528.2
 1990 12 6527.7
 1990 11 7129.4
 1990 10 2029.5
 1990 09 5231.2
 1990 08 3223.8
 1990 07 2425.8
 1990 06 030.0
 1990 05 5530·7
 1990 04 7025·2
 1990 03 8228.4
 1990 02 8627·3
 1990 01 6324·9
 1989 12  3227.4
 1989 11  2629.2
 1989 10  9233.7
 1989 09  2031·3
 1989 08  9324.4
 1989 07  6326.9
 1989 06  5632.8
 1989 05  9533.5
 1989 04  5230.1
 1989 03  2528.1
 1989 02  4231.8
 1989 01  8328·0
 1988 12 3522·9
 1988 11 6825.9
 1988 10 3527.8
 1988 09 125.9
 1988 08 9324.5
 1988 07 7422.5
 1988 06 5123.8
 1988 05 9629·2
 1988 04 022·9
 1988 03 4926.4
 1988 02 2626·0
 1988 01 3526.6
 1987 12  5830.2
 1987 11  2631.4
 1987 10  2327·4
 1987 09  1425.3
 1987 08  9225·3
 1987 07  6123.0
 1987 06  3130.1
 1987 05  5030·4
 1987 04  5228.3
 1987 03  3530.6
 1987 02  6226·2
 1987 01  8825·9
 1986 12 1326·6
 1986 11 5524·8
 1986 10 5428.9
 1986 09 9824·9
 1986 08 7621·0
 1986 07 5321·3
 1986 06 6926.0
 1986 05 7330.7
 1986 04 6725.3
 1986 03 8527.8
 1986 02 9727.4
 1986 01 3324.9
 1985 12  3529·2
 1985 11  3327·7
 1985 10  4928.4
 1985 09  2229·3
 1985 08  5623.2
 1985 07  420·3
 1985 06  6525·5
 1985 05  831.5
 1985 04  3128·5
 1985 03  3027·4
 1985 02  525·4
 1985 01  8625.7
 1984 12 8427·6
 1984 11 6625·7
 1984 10 5926.1
 1984 09 7626·8
 1984 08 6721.3
 1984 07 9519.6
 1984 06 3924.4
 1984 05 2126·3
 1984 04 5425.3
 1984 03 2322.2
 1984 02 8425.8
 1984 01 9026·6
 1983 12  4627.9
 1983 11  8226.3
 1983 10  5526.8
 1983 09  7824·8
 1983 08  6923·1
 1983 07  2925.6
 1983 06  4226·7
 1983 05  427·9
 1983 04  7325.7
 1983 03  4527·7
 1983 02  5625.2
 1983 01  1129.0
 1982 12 3225·0
 1982 11 3626·5
 1982 10 3623.9
 1982 09 7024.5
 1982 08 4920.8
 1982 07 3525·5
 1982 06 4528.9
 1982 05 7428.9
 1982 04 4726.1
 1982 03 9826.5
 1982 02 7027.4
 1982 01 4224.6
 1981 12  7825·5
 1981 11  729·5
 1981 10  2528.4
 1981 09  1827.4
 1981 08  1623·3
 1981 07  6825.4
 1981 06  4729·8
 1981 05  7229.6
 1981 04  6226.7
 1981 03  1428·2
 1981 02  029·4
 1981 01  9827·7
 1980 12 4228.4
 1980 11 026.1
 1980 10 7031.8
 1980 09 1429.0
 1980 08 623·3
 1980 07 826·1
 1980 06 7132.1
 1980 05 6630·2
 1980 04 3030·7
 1980 03 4531.7
 1980 02 4128·0
 1980 01 2229.0
 1979 12  1233·1
 1979 11  4332·3
 1979 10  4330.8
 1979 09  7627·8
 1979 08  8124.6
 1979 07  5825.7
 1979 06  6531·2
 1979 05  4729·4
 1979 04  8428·7
 1979 03  7130.4
 1979 02  1926·2
 1979 01  8029·3
 1978 12 9831.9
 1978 11 9128·6
 1978 10 4430.6
 1978 09 4330.3
 1978 08 2422·2
 1978 07 4724.1
 1978 06 231·2
 1978 05 3230.4
 1978 04 8627·8
 1978 03 9730·5
 1978 02 8129.2
 1978 01 6429·4
 1977 12  3629.3
 1977 11  2329.8
 1977 10  9431·7
 1977 09  8529·3
 1977 08  4724·7
 1977 07  3125.8
 1977 06  8029·9
 1977 05  6330.6
 1977 04  2229·9
 1977 03  5228·0
 1977 02  028·6
 1977 01  9227.6
 1976 12 8528·0
 1976 11 4431·2
 1976 10 4329·8
 1976 09 9132.0
 1976 08 8625.7
 1976 07 8825·9
 1976 06 2232·8
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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 Reentrants to Labor Force: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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