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 Series Title: Percent of Total Reentrants 20 years and over, Men Unemployed 15-26 Weeks: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 6214.1
 2012 03 6116.3
 2012 02 6417.9
 2012 01 8614·2
 2011 12  6713·1
 2011 11  4716.1
 2011 10  7017.3
 2011 09  914.4
 2011 08  1913·9
 2011 07  1215.5
 2011 06  5711.7
 2011 05  1214·8
 2011 04  7014·3
 2011 03  3815·5
 2011 02  4015.4
 2011 01  3915.4
 2010 12 9414.5
 2010 11 3318.0
 2010 10 5518·3
 2010 09 5915.1
 2010 08 9211·3
 2010 07 2715·9
 2010 06 6611.6
 2010 05 6615.0
 2010 04 8816·0
 2010 03 7716·1
 2010 02 6116·6
 2010 01 8016·9
 2009 12  3521.1
 2009 11  6621.6
 2009 10  5320·7
 2009 09  4518.1
 2009 08  618·7
 2009 07  9817·3
 2009 06  7917·8
 2009 05  2920.3
 2009 04  320.9
 2009 03  822.1
 2009 02  319·5
 2009 01  2717.1
 2008 12 5018·8
 2008 11 5018·9
 2008 10 1118·8
 2008 09 5815.5
 2008 08 9918.1
 2008 07 613·9
 2008 06 1817·2
 2008 05 6617·5
 2008 04 2420·6
 2008 03 8318.9
 2008 02 6215·0
 2008 01 2113·2
 2007 12  2514.7
 2007 11  1415·4
 2007 10  416·3
 2007 09  1616.6
 2007 08  3018·1
 2007 07  5413.3
 2007 06  3216·4
 2007 05  7115.6
 2007 04  8619·6
 2007 03  8415.8
 2007 02  6112·7
 2007 01  2916.0
 2006 12 7116·5
 2006 11 1318.7
 2006 10 2713·0
 2006 09 6114·8
 2006 08 8514·1
 2006 07 7111.6
 2006 06 9411.6
 2006 05 5915.9
 2006 04 5216·3
 2006 03 1418·6
 2006 02 4914·2
 2006 01 4417·4
 2005 12  2317.3
 2005 11  2613·6
 2005 10  616·1
 2005 09  5916.2
 2005 08  7414·6
 2005 07  1112.6
 2005 06  110·7
 2005 05  7317.3
 2005 04  518.5
 2005 03  319·1
 2005 02  9917·6
 2005 01  8111.2
 2004 12 4113.8
 2004 11 5714·7
 2004 10 8715.1
 2004 09 116·3
 2004 08 3411.9
 2004 07 5512·6
 2004 06 7714·8
 2004 05 7914·9
 2004 04 5716.1
 2004 03 420·8
 2004 02 819.5
 2004 01 8216.4
 2003 12  1214.6
 2003 11  3512.8
 2003 10  4317.3
 2003 09  617·0
 2003 08  2416·4
 2003 07  617·2
 2003 06  7015.4
 2003 05  6915.7
 2003 04  4318·0
 2003 03  9721.3
 2003 02  114.9
 2003 01  1517.0
 2002 12 4512.9
 2002 11 1615·4
 2002 10 7415·4
 2002 09 1415.0
 2002 08 309.9
 2002 07 9412·6
 2002 06 5215.4
 2002 05 6015·3
 2002 04 2418·1
 2002 03 8718.7
 2002 02 2418·1
 2002 01 7120.7
 2001 12  7713·3
 2001 11  7813.9
 2001 10  115·5
 2001 09  9316.3
 2001 08  6413.0
 2001 07  7216.1
 2001 06  2314·5
 2001 05  9315·7
 2001 04  8516·0
 2001 03  216·9
 2001 02  5116.4
 2001 01  6714·2
 2000 12 6715.0
 2000 11 2516.5
 2000 10 7410·8
 2000 09 3312·6
 2000 08 5911·1
 2000 07 2110.1
 2000 06 47·8
 2000 05 3615.8
 2000 04 3714.6
 2000 03 9816.5
 2000 02 8013.8
 2000 01 4512·9
 1999 12  115.1
 1999 11  8713·4
 1999 10  6414.0
 1999 09  5318·7
 1999 08  7712.9
 1999 07  4410·9
 1999 06  4515·5
 1999 05  8012·8
 1999 04  1519.2
 1999 03  5212·7
 1999 02  3411.4
 1999 01  7112.4
 1998 12 9112·5
 1998 11 1716·7
 1998 10 7115·4
 1998 09 9310.2
 1998 08 413·7
 1998 07 7114·1
 1998 06 1712·4
 1998 05 4313·5
 1998 04 8013.5
 1998 03 7015.7
 1998 02 6114.1
 1998 01 3710·0
 1997 12  7120.9
 1997 11  9613.7
 1997 10  1614.9
 1997 09  2217·6
 1997 08  5014·0
 1997 07  5617·6
 1997 06  1914.5
 1997 05  6521·6
 1997 04  1821.0
 1997 03  8116.6
 1997 02  3420·0
 1997 01  6115·7
 1996 12 118·3
 1996 11 2814·2
 1996 10 4816·1
 1996 09 2916.4
 1996 08 5012.6
 1996 07 7910·9
 1996 06 7510.4
 1996 05 1315.3
 1996 04 3920·7
 1996 03 3921.0
 1996 02 5112.9
 1996 01 8314·1
 1995 12  6917·2
 1995 11  4218.8
 1995 10  4116·7
 1995 09  3312.7
 1995 08  6516·8
 1995 07  4314·8
 1995 06  3112.0
 1995 05  8116.9
 1995 04  7821·5
 1995 03  2415.3
 1995 02  3621.8
 1995 01  7116·1
 1994 12 8312.6
 1994 11 9216.8
 1994 10 9217.8
 1994 09 7420.5
 1994 08 8013.0
 1994 07 7813·6
 1994 06 6211·7
 1994 05 8315·0
 1994 04 9619·8
 1994 03 3918·1
 1994 02 3517.7
 1994 01 1718.1
 1993 12  8012·4
 1993 11  5713·8
 1993 10  2414.5
 1993 09  2111·6
 1993 08  79·1
 1993 07  3812·2
 1993 06  659.1
 1993 05  6314.0
 1993 04  7919·1
 1993 03  1516·6
 1993 02  2314.1
 1993 01  3713·5
 1992 12 2014.1
 1992 11 4211·3
 1992 10 8513·5
 1992 09 649·9
 1992 08 817·8
 1992 07 312·1
 1992 06 6412·9
 1992 05 8616·3
 1992 04 3716.2
 1992 03 422.5
 1992 02 9715.8
 1992 01 7315.9
 1991 12  8913·8
 1991 11  7712·5
 1991 10  4918·7
 1991 09  2012·2
 1991 08  6111·3
 1991 07  7710·1
 1991 06  611·2
 1991 05  4517·0
 1991 04  621·5
 1991 03  8815.6
 1991 02  8115·7
 1991 01  9212.4
 1990 12 9712.7
 1990 11 1413.7
 1990 10 1314.6
 1990 09 319·1
 1990 08 3510·9
 1990 07 8910·4
 1990 06 6410.8
 1990 05 5613·3
 1990 04 4616.0
 1990 03 6916.3
 1990 02 2212.5
 1990 01 8612.7
 1989 12  798·2
 1989 11  3511.8
 1989 10  011.8
 1989 09  6511·7
 1989 08  128·2
 1989 07  9415·7
 1989 06  3610·3
 1989 05  6212.1
 1989 04  4214·7
 1989 03  7712.3
 1989 02  9311·0
 1989 01  7112.2
 1988 12 9710.8
 1988 11 4210·9
 1988 10 5912.8
 1988 09 1210·6
 1988 08 2710·4
 1988 07 7014.4
 1988 06 469·2
 1988 05 2810.9
 1988 04 715.3
 1988 03 6712.6
 1988 02 9317.6
 1988 01 8911·7
 1987 12  3611.5
 1987 11  6610.0
 1987 10  628.8
 1987 09  898.5
 1987 08  426·5
 1987 07  2211·8
 1987 06  4215.0
 1987 05  4814.5
 1987 04  7414.0
 1987 03  1815·8
 1987 02  459·6
 1987 01  813·9
 1986 12 711·0
 1986 11 6012·0
 1986 10 810.8
 1986 09 409.9
 1986 08 426.6
 1986 07 8011·3
 1986 06 9611.5
 1986 05 3713·4
 1986 04 415·8
 1986 03 3412.6
 1986 02 9615.2
 1986 01 1812.7
 1985 12  4415.7
 1985 11  410·1
 1985 10  2011.1
 1985 09  2910.2
 1985 08  3712·1
 1985 07  9710.6
 1985 06  78·4
 1985 05  3716.2
 1985 04  8414·6
 1985 03  4516·8
 1985 02  1914.9
 1985 01  3712·0
 1984 12 911·4
 1984 11 315.9
 1984 10 4511·0
 1984 09 498·4
 1984 08 649.3
 1984 07 547·8
 1984 06 978.9
 1984 05 1612·4
 1984 04 2313.9
 1984 03 411.0
 1984 02 148·7
 1984 01 715.1
 1983 12  8713.7
 1983 11  8513·2
 1983 10  5710·9
 1983 09  1711·4
 1983 08  8211·8
 1983 07  5311.1
 1983 06  1510·7
 1983 05  6417.7
 1983 04  5713.0
 1983 03  9119·2
 1983 02  213.5
 1983 01  9413.5
 1982 12 8919.4
 1982 11 414.8
 1982 10 5413·9
 1982 09 7414.9
 1982 08 7710·0
 1982 07 2512·9
 1982 06 3413.9
 1982 05 014·8
 1982 04 4715·8
 1982 03 1013·7
 1982 02 3213.9
 1982 01 9015.7
 1981 12  5013·2
 1981 11  4112·4
 1981 10  589·4
 1981 09  8810·2
 1981 08  607·9
 1981 07  2412·4
 1981 06  5212·6
 1981 05  6412.5
 1981 04  7818.3
 1981 03  9119.1
 1981 02  7615.3
 1981 01  1114·7
 1980 12 3015·5
 1980 11 9911·9
 1980 10 1817·2
 1980 09 5016·8
 1980 08 6611.8
 1980 07 299.3
 1980 06 9210·7
 1980 05 2313·2
 1980 04 6115.5
 1980 03 8815.0
 1980 02 3412.4
 1980 01 111·7
 1979 12  1610·5
 1979 11  810·8
 1979 10  810.8
 1979 09  767·2
 1979 08  568·9
 1979 07  448.6
 1979 06  110·4
 1979 05  7011·1
 1979 04  3116.4
 1979 03  8014·8
 1979 02  2712.9
 1979 01  2411.5
 1978 12 1713·2
 1978 11 2111·4
 1978 10 249.8
 1978 09 1010.6
 1978 08 158.8
 1978 07 010.8
 1978 06 5410·9
 1978 05 2014·5
 1978 04 4915.9
 1978 03 7216.5
 1978 02 516·3
 1978 01 7512·4
 1977 12  707.7
 1977 11  1912.8
 1977 10  9011.0
 1977 09  179.1
 1977 08  5411.9
 1977 07  4913·1
 1977 06  4711·8
 1977 05  1713·3
 1977 04  017·1
 1977 03  9213·6
 1977 02  3914.1
 1977 01  6815.9
 1976 12 359·7
 1976 11 613·5
 1976 10 5415·9
 1976 09 8915·0
 1976 08 811.5
 1976 07 7110.9
 1976 06 511.6
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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 Reentrants 20 years and over, Men Unemployed 15-26 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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