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 Series Title: Average Number of Search Methods Used, 55-64 years, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 622·0
 2012 03 962·0
 2012 02 572.1
 2012 01 402·1
 2011 12  662·0
 2011 11  582·0
 2011 10  402·1
 2011 09  672.0
 2011 08  752·1
 2011 07  562·1
 2011 06  621·9
 2011 05  312·0
 2011 04  382.1
 2011 03  712·0
 2011 02  352·1
 2011 01  752·1
 2010 12 302·1
 2010 11 112.1
 2010 10 972.1
 2010 09 682·2
 2010 08 532.1
 2010 07 62.1
 2010 06 112.0
 2010 05 52·1
 2010 04 302.0
 2010 03 142.1
 2010 02 652.1
 2010 01 42·1
 2009 12  142·0
 2009 11  162.1
 2009 10  722.3
 2009 09  112.3
 2009 08  792·2
 2009 07  192.2
 2009 06  702·2
 2009 05  932·3
 2009 04  252·2
 2009 03  542.2
 2009 02  212·2
 2009 01  452.1
 2008 12 782.2
 2008 11 792·0
 2008 10 142.1
 2008 09 871·8
 2008 08 892.0
 2008 07 741.9
 2008 06 612·0
 2008 05 622.1
 2008 04 331·9
 2008 03 472.1
 2008 02 12.1
 2008 01 401.9
 2007 12  91·9
 2007 11  282·0
 2007 10  961.9
 2007 09  151·9
 2007 08  441.8
 2007 07  752.0
 2007 06  341.9
 2007 05  51·9
 2007 04  881·8
 2007 03  702.1
 2007 02  281·7
 2007 01  561.9
 2006 12 172.0
 2006 11 181.8
 2006 10 151.9
 2006 09 351·8
 2006 08 301·7
 2006 07 522·0
 2006 06 602.0
 2006 05 382·1
 2006 04 532.0
 2006 03 292.1
 2006 02 492.0
 2006 01 831·9
 2005 12  361·9
 2005 11  291·9
 2005 10  961.8
 2005 09  151·9
 2005 08  561.9
 2005 07  591·8
 2005 06  382.1
 2005 05  22·0
 2005 04  111.9
 2005 03  522.2
 2005 02  391·9
 2005 01  391·9
 2004 12 292.1
 2004 11 642.0
 2004 10 861·9
 2004 09 462.2
 2004 08 582.2
 2004 07 762·1
 2004 06 912.2
 2004 05 652.3
 2004 04 752·1
 2004 03 951.9
 2004 02 942.0
 2004 01 671.9
 2002 12 802·1
 2002 11 532·0
 2002 10 572.0
 2002 09 452.1
 2002 08 982.0
 2002 07 61·9
 2002 06 682·1
 2002 05 182.1
 2002 04 792·0
 2002 03 361.9
 2002 02 391.9
 2002 01 311.9
 2001 12  02·1
 2001 11  492·3
 2001 10  91.9
 2001 09  532·1
 2001 08  592·1
 2001 07  782·2
 2001 06  402·0
 2001 05  781.8
 2001 04  841.6
 2001 03  791·9
 2001 02  212.0
 2001 01  261.9
 2000 12 242·1
 2000 11 341.7
 2000 10 632·1
 2000 09 391.7
 2000 08 541.9
 2000 07 481·7
 2000 06 61.7
 2000 05 881.8
 2000 04 761.9
 2000 03 552·0
 2000 02 121·8
 2000 01 661.9
 1999 12  131.9
 1999 11  91.9
 1999 10  691.6
 1999 09  931.8
 1999 08  181·9
 1999 07  941·8
 1999 06  901.9
 1999 05  131.9
 1999 04  641.8
 1999 03  161·6
 1999 02  121·9
 1999 01  941.9
 1998 12 532.0
 1998 11 62·0
 1998 10 992.0
 1998 09 321.8
 1998 08 101·8
 1998 07 212.2
 1998 06 391.9
 1998 05 451·6
 1998 04 852·0
 1998 03 431·7
 1998 02 441.9
 1998 01 771·8
 1997 12  541·8
 1997 11  781.8
 1997 10  521·9
 1997 09  981.8
 1997 08  171·8
 1997 07  592·0
 1997 06  261·8
 1997 05  22·1
 1997 04  992.1
 1997 03  402·0
 1997 02  541·8
 1997 01  71·7
 1996 12 522.0
 1996 11 52·1
 1996 10 492·0
 1996 09 582.1
 1996 08 492·1
 1996 07 602.0
 1996 06 491·9
 1996 05 241·8
 1996 04 921.9
 1996 03 362.0
 1996 02 172.0
 1996 01 01.8
 1995 12  72.0
 1995 11  911·8
 1995 10  401.8
 1995 09  42·1
 1995 08  421.8
 1995 07  51·9
 1995 06  321·7
 1995 05  801·8
 1995 04  751·8
 1995 03  861.8
 1995 02  301.7
 1995 01  981·7
 1994 12 41·4
 1994 11 641.7
 1993 12  981.8
 1993 11  521.8
 1993 10  561·8
 1993 09  981·8
 1993 08  221·9
 1993 07  611·8
 1993 06  821·8
 1993 05  681·8
 1993 04  171·8
 1993 03  682·0
 1993 02  551.9
 1993 01  811.8
 1992 12 191·8
 1992 11 441.8
 1992 10 781.8
 1992 09 681.9
 1992 08 932·0
 1992 07 821·8
 1992 06 741·8
 1992 05 871.9
 1992 04 251·9
 1992 03 21.8
 1992 02 951·9
 1992 01 191.9
 1991 12  291·6
 1991 11  471·7
 1991 10  161·7
 1991 09  701·6
 1991 08  421.8
 1991 07  881·8
 1991 06  372·0
 1991 05  721·8
 1991 04  281.8
 1991 03  171·8
 1991 02  841·8
 1991 01  831·8
 1990 12 731.7
 1990 11 541.9
 1990 10 71.8
 1990 09 821.9
 1990 08 931·8
 1990 07 431.8
 1990 06 821·8
 1990 05 781·7
 1990 04 231·7
 1990 03 531·6
 1990 02 81·5
 1990 01 21.7
 1989 12  271·7
 1989 11  791·8
 1989 10  121.5
 1989 09  101·7
 1989 08  931.9
 1989 07  401.7
 1989 06  431·6
 1989 05  841.5
 1989 04  341.7
 1989 03  791.6
 1989 02  781·6
 1989 01  311·5
 1988 12 871.4
 1988 11 661.5
 1988 10 161·8
 1988 09 821·6
 1988 08 161.7
 1988 07 961.8
 1988 06 831.7
 1988 05 941.7
 1988 04 81·7
 1988 03 861.6
 1988 02 291·9
 1988 01 491·6
 1987 12  771·7
 1987 11  821·7
 1987 10  291·7
 1987 09  531·7
 1987 08  591.9
 1987 07  521.8
 1987 06  851·6
 1987 05  381·6
 1987 04  191·6
 1987 03  911·5
 1987 02  211.6
 1987 01  601.6
 1986 12 441.6
 1986 11 171·6
 1986 10 881.5
 1986 09 21·6
 1986 08 471·7
 1986 07 751·5
 1986 06 611·6
 1986 05 691.6
 1986 04 651.6
 1986 03 351.7
 1986 02 401·6
 1986 01 941.6
 1985 12  621.7
 1985 11  891.5
 1985 10  521·5
 1985 09  331.6
 1985 08  261·6
 1985 07  581·6
 1985 06  461.6
 1985 05  681.6
 1985 04  691·6
 1985 03  851·6
 1985 02  971·6
 1985 01  51.7
 1984 12 291·7
 1984 11 401·7
 1984 10 71.7
 1984 09 761·6
 1984 08 701·6
 1984 07 161·7
 1984 06 01·6
 1984 05 371.7
 1984 04 781·7
 1984 03 341.6
 1984 02 271.6
 1984 01 711.6
 1983 12  681·5
 1983 11  361·6
 1983 10  641·7
 1983 09  841·8
 1983 08  761·7
 1983 07  931·8
 1983 06  101.6
 1983 05  81.7
 1983 04  671·8
 1983 03  971.7
 1983 02  911.8
 1983 01  981·8
 1982 12 261·7
 1982 11 691.8
 1982 10 581·6
 1982 09 381·6
 1982 08 691·7
 1982 07 531.6
 1982 06 861.7
 1982 05 331·6
 1982 04 321.6
 1982 03 171.6
 1982 02 751.6
 1982 01 151·4
 1981 12  781.5
 1981 11  571.5
 1981 10  501·6
 1981 09  411.6
 1981 08  961.6
 1981 07  901·5
 1981 06  631.6
 1981 05  931·6
 1981 04  971·4
 1981 03  611·6
 1981 02  881·7
 1981 01  761·5
 1980 12 211·5
 1980 11 401.6
 1980 10 261.5
 1980 09 231.5
 1980 08 291.6
 1980 07 201.6
 1980 06 21.5
 1980 05 911·5
 1980 04 111.5
 1980 03 201·6
 1980 02 671.6
 1980 01 611·4
 1979 12  781·3
 1979 11  851·5
 1979 10  951.5
 1979 09  391·5
 1979 08  681.4
 1979 07  841.5
 1979 06  881·5
 1979 05  571.4
 1979 04  451·6
 1979 03  111.6
 1979 02  711·5
 1979 01  721.7
 1978 12 961.4
 1978 11 851·4
 1978 10 941·6
 1978 09 661.6
 1978 08 351.5
 1978 07 511.5
 1978 06 331.4
 1978 05 451·5
 1978 04 991.5
 1978 03 761·5
 1978 02 871.4
 1978 01 411·5
 1977 12  501·6
 1977 11  571.7
 1977 10  831·6
 1977 09  101.6
 1977 08  781.6
 1977 07  111.5
 1977 06  711.6
 1977 05  351·7
 1977 04  941·6
 1977 03  821.7
 1977 02  261·7
 1977 01  211.6
 1976 12 371·8
 1976 11 411·6
 1976 10 481·6
 1976 09 11.5
 1976 08 701.6
 1976 07 811.7
 1976 06 631·6
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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: Average Number of Search Methods Used, 55-64 years, Men: 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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