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 Series Title: Percent of Total New Entrants 20 years and over, Men Unemployed 27 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 3265·5
 2012 03 6658.1
 2012 02 8759·9
 2012 01 6771.8
 2011 12  070·9
 2011 11  8559·7
 2011 10  2255·5
 2011 09  3952·9
 2011 08  4852·4
 2011 07  1546·9
 2011 06  7052.9
 2011 05  2247·3
 2011 04  2449·8
 2011 03  3854·9
 2011 02  4454·7
 2011 01  6155·4
 2010 12 553·1
 2010 11 6050.4
 2010 10 8249.7
 2010 09 2447.5
 2010 08 9154.9
 2010 07 1354·5
 2010 06 4749·5
 2010 05 654.8
 2010 04 856.7
 2010 03 5352·8
 2010 02 2746.0
 2010 01 2549.0
 2009 12  555.1
 2009 11  6343.1
 2009 10  3538.7
 2009 09  2740·8
 2009 08  5836·8
 2009 07  4836·2
 2009 06  925.9
 2009 05  7952·1
 2009 04  6952·7
 2009 03  4143·5
 2009 02  1239·5
 2009 01  7645.0
 2008 12 6130.5
 2008 11 9825·2
 2008 10 3140.9
 2008 09 3827·6
 2008 08 8513·8
 2008 07 018·7
 2008 06 7922.1
 2008 05 818·9
 2008 04 1732·4
 2008 03 5530·2
 2008 02 9522.1
 2008 01 5623.1
 2007 12  5723·7
 2007 11  9436.2
 2007 10  4130·6
 2007 09  7539·1
 2007 08  3147.7
 2007 07  7444.5
 2007 06  527·2
 2007 05  8644·2
 2007 04  8947.7
 2007 03  7646·5
 2007 02  047·8
 2007 01  3138.2
 2006 12 648.8
 2006 11 731·3
 2006 10 6434·3
 2006 09 8026.4
 2006 08 8241·4
 2006 07 9825.3
 2006 06 6034.9
 2006 05 2825·4
 2006 04 4434.3
 2006 03 735·9
 2006 02 7650.4
 2006 01 9338.0
 2005 12  4133.5
 2005 11  1530·7
 2005 10  2340.7
 2005 09  2045·7
 2005 08  4932.6
 2005 07  2832·6
 2005 06  4229.1
 2005 05  7749·1
 2005 04  6950.1
 2005 03  7852.1
 2005 02  9438.8
 2005 01  5934.9
 2004 12 2542.8
 2004 11 2229.6
 2004 10 6738·6
 2004 09 8636·9
 2004 08 6833·3
 2004 07 4138.4
 2004 06 7420.6
 2004 05 027.3
 2004 04 7342·1
 2004 03 4350.9
 2004 02 5331·4
 2004 01 7136·6
 2003 12  4263·2
 2003 11  5839.4
 2003 10  6723.4
 2003 09  9431.1
 2003 08  9835.0
 2003 07  4323·8
 2003 06  336.5
 2003 05  8833·3
 2003 04  9350.5
 2003 03  8141·4
 2003 02  7630.8
 2003 01  9623·4
 2002 12 336·7
 2002 11 7736.9
 2002 10 2236.0
 2002 09 8845·3
 2002 08 2636·7
 2002 07 6337·4
 2002 06 438.7
 2002 05 5823.7
 2002 04 8941.0
 2002 03 9754·3
 2002 02 1117·2
 2002 01 2539.8
 2001 12  4336.8
 2001 11  5828.1
 2001 10  5549.5
 2001 09  3323.0
 2001 08  6231.0
 2001 07  5518·5
 2001 06  7430·2
 2001 05  5240.6
 2001 04  4730.3
 2001 03  1920·8
 2001 02  3124·8
 2001 01  7532·8
 2000 12 2339.8
 2000 11 729·8
 2000 10 1414·3
 2000 09 2221.6
 2000 08 4114.8
 2000 07 9923·3
 2000 06 3628.0
 2000 05 3728.1
 2000 04 7720.7
 2000 03 325·4
 2000 02 3516·7
 2000 01 8837·9
 1999 12  2948·2
 1999 11  5154.1
 1999 10  7346·4
 1999 09  7141·4
 1999 08  2549·0
 1999 07  9825·0
 1999 06  392.7
 1999 05  421.4
 1999 02  1415.9
 1999 01  2830.1
 1998 12 4545·9
 1998 11 3164·9
 1998 10 7128·9
 1998 09 4546·2
 1998 08 2944.0
 1998 07 2220·7
 1998 06 9820·1
 1998 05 8352.4
 1998 04 5450·5
 1998 03 7023.5
 1998 02 1942.8
 1998 01 9725·2
 1997 12  931·2
 1997 11  9535.6
 1997 10  8537·7
 1997 09  6944.7
 1997 08  523·4
 1997 07  4210.5
 1997 06  7115·4
 1997 05  635·0
 1997 04  8135.3
 1997 03  7842.3
 1997 02  7842.0
 1997 01  4029.1
 1996 12 021·6
 1996 11 9837.8
 1996 10 3127.0
 1996 09 2739·0
 1996 08 4933·6
 1996 07 2230.4
 1996 06 8030·0
 1996 05 4938·0
 1996 04 4241.7
 1996 03 9321.9
 1996 02 135·6
 1996 01 1222·9
 1995 12  1728·5
 1995 11  8122·2
 1995 10  9426·6
 1995 09  4840.9
 1995 08  3538·2
 1995 07  8025.8
 1995 06  8534.3
 1995 05  1447.2
 1995 04  8637·9
 1995 03  859·7
 1995 02  2435.2
 1995 01  9139·2
 1994 12 8225·1
 1994 11 1131·5
 1994 10 8653·3
 1994 09 8644.3
 1994 08 6129.4
 1994 07 5726.0
 1994 06 7231·6
 1994 05 3141·9
 1994 04 8567·7
 1994 03 4050.8
 1994 02 839·5
 1994 01 8336·9
 1993 12  4332.5
 1993 11  8023.3
 1993 10  4227.4
 1993 09  2225·4
 1993 08  489.5
 1993 07  209·9
 1993 06  5218.4
 1993 05  5516.3
 1993 04  3813.4
 1993 03  3017.9
 1993 02  3727·4
 1993 01  1527.7
 1992 12 7518·1
 1992 11 420·2
 1992 10 2225·0
 1992 09 5819·4
 1992 08 4718.3
 1992 07 6128·6
 1992 06 5919·9
 1992 05 6521.9
 1992 04 6735·0
 1992 03 4529.0
 1992 02 2231.4
 1992 01 4430.7
 1991 12  7319.0
 1991 11  2520.5
 1991 10  1320·7
 1991 09  2512.5
 1991 08  2913·6
 1991 07  9614.7
 1991 06  5522.0
 1991 05  6518.9
 1991 04  2129·1
 1991 03  7727.1
 1991 02  023.5
 1991 01  4721·9
 1990 12 6316·7
 1990 11 1114·2
 1990 10 2316.9
 1990 09 7613·9
 1990 08 9217.7
 1990 07 6810·6
 1990 06 257·2
 1990 05 8419.0
 1990 04 7235.5
 1990 03 4226.4
 1990 02 3011.3
 1990 01 2926·0
 1989 12  9125·0
 1989 11  5325.1
 1989 10  9021·9
 1989 09  9117.1
 1989 08  6018·9
 1989 07  4315.7
 1989 06  7914·5
 1989 05  786·3
 1989 04  1924·4
 1989 02  8310.3
 1989 01  9825.2
 1988 12 208.4
 1988 11 3023.3
 1988 10 6736·0
 1988 09 7316·8
 1988 08 7512.9
 1988 07 819·7
 1988 06 1316.2
 1988 05 5415·6
 1988 04 247.5
 1988 03 8524·0
 1988 02 6722.3
 1988 01 1534.5
 1987 12  7322·7
 1987 10  8020·1
 1987 09  9612·9
 1987 08  5910·1
 1987 07  567·8
 1987 06  2819·0
 1987 05  9521.6
 1987 04  935·2
 1987 03  2722·1
 1987 02  1830·8
 1987 01  8425.3
 1986 12 1611·5
 1986 11 6925.7
 1986 10 6234·0
 1986 09 627·3
 1986 08 5722.1
 1986 07 8830.0
 1986 06 9821.0
 1986 05 3121.6
 1986 04 3028·9
 1986 03 1730·4
 1986 02 9036·4
 1986 01 5236·0
 1985 12  6233·7
 1985 11  1134·2
 1985 10  2533.3
 1985 09  8929·0
 1985 08  323.7
 1985 07  5222.7
 1985 06  1629.7
 1985 05  8715.6
 1985 04  2821·3
 1985 03  4830·8
 1985 02  033.1
 1985 01  1335·4
 1984 12 3826.7
 1984 11 2928.6
 1984 10 4219.4
 1984 09 6326.3
 1984 08 5827.2
 1984 07 5224.1
 1984 06 2824.9
 1984 05 5536.7
 1984 04 3839·5
 1984 03 9934·0
 1984 02 7235·1
 1984 01 3329·2
 1983 12  5531·2
 1983 11  7627.7
 1983 10  1126.5
 1983 09  6819.4
 1983 08  719.1
 1983 07  1618.9
 1983 06  826.5
 1983 05  5226·2
 1983 04  2238.3
 1983 03  7463.2
 1983 02  5246·5
 1983 01  538·1
 1982 12 4825·7
 1982 11 3334.3
 1982 10 5428.4
 1982 09 7116·7
 1982 08 6222·5
 1982 07 9917.6
 1982 06 5417·5
 1982 05 2019.6
 1982 04 6318·3
 1982 03 421·6
 1982 02 1413·0
 1982 01 4424·0
 1981 12  7815·3
 1981 11  416·9
 1981 10  2122·9
 1981 09  6511.5
 1981 08  5619.4
 1981 07  8127·9
 1981 06  8911·8
 1981 05  2520.2
 1981 04  7332·7
 1981 03  4125.6
 1981 02  5617.9
 1981 01  9424·7
 1980 11 3024.5
 1980 10 1716.2
 1980 09 8415·8
 1980 08 6618.3
 1980 07 527.1
 1980 06 658·2
 1980 05 6216·2
 1980 03 6027·4
 1979 12  8821·0
 1979 11  6623.4
 1979 08  110·7
 1979 07  2011·7
 1979 06  1615.4
 1978 08 2819.3
 1978 07 4117·3
 1978 06 163.4
 1978 05 3424.1
 1978 04 8122·4
 1978 03 4430.6
 1978 01 4122.7
 1977 12  6829·0
 1977 11  8331·2
 1977 10  9828.2
 1977 09  1516·3
 1977 08  7015.8
 1977 07  1516.2
 1977 06  1624.6
 1977 05  8141·8
 1977 04  1330.2
 1977 03  8329.9
 1977 02  3529.9
 1977 01  1035·3
 1976 12 9933.7
 1976 11 2030·2
 1976 10 1929.7
 1976 09 9427·0
 1976 06 5314·1
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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 New Entrants 20 years and over, Men Unemployed 27 Weeks and over: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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