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 Series Title: Of Total Unemployed 20 years and over, Men, 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 9520.3
 2012 03 4919·1
 2012 02 3617.8
 2012 01 7917.7
 2011 12  2218.4
 2011 11  1419·4
 2011 10  419·4
 2011 09  7219·6
 2011 08  7820.4
 2011 07  4020·6
 2011 06  3621·3
 2011 05  2720·5
 2011 04  1319.3
 2011 03  917.1
 2011 02  4316.8
 2011 01  8616.5
 2010 12 316.3
 2010 11 2716·1
 2010 10 6518·0
 2010 09 2118.2
 2010 08 4818·4
 2010 07 2618.7
 2010 06 6418·1
 2010 05 2318.2
 2010 04 7318·8
 2010 03 6316·1
 2010 02 2815.6
 2010 01 1416·5
 2009 12  2914·6
 2009 11  1815.3
 2009 10  7016·4
 2009 09  3615.6
 2009 08  9116·0
 2009 07  017·1
 2009 06  2717·7
 2009 05  6017.0
 2009 04  5916·2
 2009 03  3815·0
 2009 02  6313·9
 2009 01  7814·4
 2008 12 6016·0
 2008 11 9118·3
 2008 10 6619·1
 2008 09 1121·4
 2008 08 4322·2
 2008 07 4022·0
 2008 06 4823·6
 2008 05 222·8
 2008 04 8319·1
 2008 03 9117·7
 2008 02 4719·9
 2008 01 2119·5
 2007 12  8221·3
 2007 11  7622.5
 2007 10  2721.1
 2007 09  6222.8
 2007 08  6523.1
 2007 07  5222·3
 2007 06  7526·8
 2007 05  4326·1
 2007 04  8121.9
 2007 03  021.6
 2007 02  318·6
 2007 01  919·9
 2006 12 620·5
 2006 11 2725.8
 2006 10 5127.6
 2006 09 3026.2
 2006 08 4227.3
 2006 07 6525·5
 2006 06 8024·4
 2006 05 9924.4
 2006 04 1223·9
 2006 03 7022.0
 2006 02 7922.9
 2006 01 3521·9
 2005 12  6821·5
 2005 11  2325·2
 2005 10  6124·2
 2005 09  8323.4
 2005 08  8526·8
 2005 07  3226·2
 2005 06  6325.4
 2005 05  1125·6
 2005 04  6322·0
 2005 03  2923·2
 2005 02  4821.6
 2005 01  1418.4
 2004 12 2718·3
 2004 11 6921.6
 2004 10 522·0
 2004 09 1223.0
 2004 08 2922.4
 2004 07 3420·1
 2004 06 4523·6
 2004 05 4724.3
 2004 04 4319.0
 2004 03 3219·3
 2004 02 819.4
 2004 01 9019.1
 2003 12  7019.2
 2003 11  9321.1
 2003 10  5521.8
 2003 09  3421·9
 2003 08  3523.7
 2003 07  7520·6
 2003 06  7622.4
 2003 05  9821.8
 2003 04  8919·7
 2003 03  5817.7
 2003 02  8217.3
 2003 01  2815·9
 2002 12 716·1
 2002 11 5017·8
 2002 10 1119.8
 2002 09 9120.8
 2002 08 8919·4
 2002 07 8319·6
 2002 06 2720·9
 2002 05 8221·5
 2002 04 6118·8
 2002 03 1219·8
 2002 02 1818.9
 2002 01 2016·7
 2001 12  7319.0
 2001 11  2019·4
 2001 10  9519.9
 2001 09  4922·1
 2001 08  021·1
 2001 07  1318.2
 2001 06  9822·1
 2001 05  3922.0
 2001 04  4421.9
 2001 03  2320.1
 2001 02  8918.1
 2001 01  8318·8
 2000 12 2920·6
 2000 11 622·8
 2000 10 5624.8
 2000 09 123·1
 2000 08 626.7
 2000 07 4528.1
 2000 06 1130·8
 2000 05 3728·9
 2000 04 4924·6
 2000 03 4521·8
 2000 02 9320·9
 2000 01 5921.2
 1999 12  6123.8
 1999 11  3923.4
 1999 10  6527.1
 1999 09  6327·7
 1999 08  6525.4
 1999 07  8324·9
 1999 06  1428·7
 1999 05  6726.8
 1999 04  1223·2
 1999 03  5820.4
 1999 02  5422.2
 1999 01  1620·7
 1998 12 7820.9
 1998 11 7224·7
 1998 10 2224·0
 1998 09 7726.8
 1998 08 6424.9
 1998 07 5523.9
 1998 06 8026·3
 1998 05 4723·5
 1998 04 9325.2
 1998 03 6521.9
 1998 02 1822·6
 1998 01 4321.3
 1997 12  1821.2
 1997 11  8424·0
 1997 10  4825.7
 1997 09  1123.1
 1997 08  1323·1
 1997 07  1725.2
 1997 06  825.5
 1997 05  1825·9
 1997 04  7824·4
 1997 03  9724·0
 1997 02  6121·1
 1997 01  5919·9
 1996 12 4020.6
 1996 11 8021.7
 1996 10 9424.0
 1996 09 5426.0
 1996 08 4727.0
 1996 07 4827.4
 1996 06 2026·8
 1996 05 4726·6
 1996 04 7719·6
 1996 03 722·1
 1996 02 7819·6
 1996 01 620·3
 1995 12  2920·4
 1995 11  8923·2
 1995 10  3023.7
 1995 09  2526.4
 1995 08  2826·2
 1995 07  5123.9
 1995 06  6528.8
 1995 05  2525.7
 1995 04  2624.2
 1995 03  7522·9
 1995 02  9421·0
 1995 01  4922·1
 1994 12 9720.8
 1994 11 6624.7
 1994 10 5625.1
 1994 09 6626.3
 1994 08 4128.0
 1994 07 5726·9
 1994 06 1527·8
 1994 05 7027·9
 1994 04 8524.7
 1994 03 422.9
 1994 02 5621.6
 1994 01 8122·8
 1993 12  7815·8
 1993 11  9017·7
 1993 10  9516·9
 1993 09  4218·5
 1993 08  9619·0
 1993 07  1917.9
 1993 06  6819·7
 1993 05  2320·6
 1993 04  4014.9
 1993 03  2514·9
 1993 02  3816·5
 1993 01  1817·7
 1992 12 3416.2
 1992 11 6415.4
 1992 10 9417.0
 1992 09 4617·3
 1992 08 3018.2
 1992 07 1717.6
 1992 06 4816.3
 1992 05 5117.9
 1992 04 114.5
 1992 03 9215·0
 1992 02 3813·7
 1992 01 316·5
 1991 12  5014.9
 1991 11  1916·3
 1991 10  2718·3
 1991 09  9517·7
 1991 08  117.4
 1991 07  5617·8
 1991 06  219·5
 1991 05  4718·8
 1991 04  516.4
 1991 03  8314·6
 1991 02  7815.0
 1991 01  214.5
 1990 12 3716·9
 1990 11 917·4
 1990 10 9120.5
 1990 09 3019·1
 1990 08 9720·3
 1990 07 6323·7
 1990 06 521.1
 1990 05 2520·7
 1990 04 1118.9
 1990 03 418.4
 1990 02 718·3
 1990 01 718·4
 1989 12  2916·2
 1989 11  1218.5
 1989 10  1020·0
 1989 09  1819.6
 1989 08  2719·5
 1989 07  9521.4
 1989 06  5223·8
 1989 05  3020.3
 1989 04  518.5
 1989 03  8317.3
 1989 02  9717·5
 1989 01  3416.9
 1988 12 8815.9
 1988 11 3418·1
 1988 10 3218.6
 1988 09 5218.2
 1988 08 2717·8
 1988 07 2918·0
 1988 06 6919.5
 1988 05 2620.4
 1988 04 9717·3
 1988 03 7515.7
 1988 02 4718·0
 1988 01 2717.6
 1987 12  9917·1
 1987 11  317.0
 1987 10  2915·4
 1987 09  4717.5
 1987 08  5817.4
 1987 07  7115.1
 1987 06  218.9
 1987 05  718.6
 1987 04  2416.3
 1987 03  5916·6
 1987 02  8015.0
 1987 01  5014.9
 1986 12 7315.2
 1986 11 7415·6
 1986 10 018·2
 1986 09 4617.4
 1986 08 517.1
 1986 07 4915.8
 1986 06 2617·3
 1986 05 8816·5
 1986 04 4615.9
 1986 03 3915·3
 1986 02 4415.9
 1986 01 9716.1
 1985 12  4516.5
 1985 11  2716.9
 1985 10  6819·1
 1985 09  1520.6
 1985 08  7917·9
 1985 07  1817·4
 1985 06  3721·1
 1985 05  1220.6
 1985 04  4716.3
 1985 03  4517.5
 1985 02  1217.1
 1985 01  8316·7
 1984 12 7617.0
 1984 11 6417.2
 1984 10 8117·1
 1984 09 4620.1
 1984 08 1519·6
 1984 07 5717.8
 1984 06 5917.7
 1984 05 4617.8
 1984 04 4017.1
 1984 03 3115.3
 1984 02 8113·6
 1984 01 5114.5
 1983 12  5113.0
 1983 11  1713·7
 1983 10  1214·8
 1983 09  5714.7
 1983 08  7414·7
 1983 07  7115·2
 1983 06  4014.6
 1983 05  8112·3
 1983 04  5912·6
 1983 03  7611·2
 1983 02  7612.2
 1983 01  6811.7
 1982 12 8112·0
 1982 11 3812·2
 1982 10 5912·4
 1982 09 8813·3
 1982 08 4113·0
 1982 07 8913.3
 1982 06 5316·6
 1982 05 3414·5
 1982 04 6513.5
 1982 03 8513·6
 1982 02 4413·3
 1982 01 2512·7
 1981 12  213·9
 1981 11  815.5
 1981 10  4517·7
 1981 09  616·3
 1981 08  2716.4
 1981 07  6517.8
 1981 06  96119.0
 1981 05  4618·2
 1981 04  4315·8
 1981 03  8716.6
 1981 02  5714·9
 1981 01  3915·6
 1980 12 7313.7
 1980 11 3014·9
 1980 10 1816·0
 1980 09 516·1
 1980 08 6814·6
 1980 07 7814.8
 1980 06 9216.8
 1980 05 8616·4
 1980 04 414·8
 1980 03 3515.9
 1980 02 1515.7
 1980 01 5315·0
 1979 12  8116·5
 1979 11  3516·7
 1979 10  5218.7
 1979 09  9923·4
 1979 08  2417·9
 1979 07  3319.9
 1979 06  8924.7
 1979 05  4420.9
 1979 04  8419.3
 1979 03  1018.4
 1979 02  4018.0
 1979 01  3119·0
 1978 12 3620·3
 1978 11 7521·7
 1978 10 4320.7
 1978 09 3124.9
 1978 08 8020.2
 1978 07 5820.5
 1978 06 6125.5
 1978 05 3720·0
 1978 04 4317·5
 1978 03 1617·7
 1978 02 8018·7
 1978 01 6818·4
 1977 12  7319·4
 1977 11  3118.6
 1977 10  1621·5
 1977 09  6819.4
 1977 08  4819·9
 1977 07  920.6
 1977 06  424·8
 1977 05  720.7
 1977 04  6617.2
 1977 03  8216·7
 1977 02  916.7
 1977 01  7819.0
 1976 12 5416·1
 1976 11 717·6
 1976 10 1818·5
 1976 09 217·7
 1976 08 6216·7
 1976 07 6516.4
 1976 06 4320·7
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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.
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      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 20 years and over, Men, Percent who are Reentrants to Labor Force: 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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