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 Series Title: Average Number of Search Methods Used, 45-54 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 02.1
 2012 03 992·2
 2012 02 772.1
 2012 01 162·1
 2011 12  272.1
 2011 11  172·2
 2011 10  02·2
 2011 09  182.0
 2011 08  942·1
 2011 07  82·1
 2011 06  02.1
 2011 05  942·2
 2011 04  542.1
 2011 03  552·3
 2011 02  882·2
 2011 01  882.2
 2010 12 802·2
 2010 11 632.2
 2010 10 32.3
 2010 09 682.1
 2010 08 742·3
 2010 07 642.2
 2010 06 82.2
 2010 05 302·1
 2010 04 612.2
 2010 03 162.1
 2010 02 902·1
 2010 01 922·2
 2009 12  922·2
 2009 11  992·2
 2009 10  622·3
 2009 09  982.1
 2009 08  412.2
 2009 07  202·2
 2009 06  632.3
 2009 05  182.3
 2009 04  92.2
 2009 03  122·2
 2009 02  552.3
 2009 01  452·2
 2008 12 212.2
 2008 11 302.2
 2008 10 252.2
 2008 09 992.1
 2008 08 292·1
 2008 07 562·1
 2008 06 882·0
 2008 05 242.2
 2008 04 62·0
 2008 03 972·0
 2008 02 811.9
 2008 01 892·0
 2007 12  541.9
 2007 11  852·1
 2007 10  662·2
 2007 09  882·1
 2007 08  992.0
 2007 07  762·0
 2007 06  322.1
 2007 05  412·0
 2007 04  891·9
 2007 03  512.0
 2007 02  912·0
 2007 01  912.2
 2006 12 22·0
 2006 11 181·8
 2006 10 822.0
 2006 09 82.0
 2006 08 372·0
 2006 07 82.0
 2006 06 672.1
 2006 05 862.1
 2006 04 192.1
 2006 03 781·9
 2006 02 341·9
 2006 01 431.9
 2005 12  992.0
 2005 11  91·9
 2005 10  962.0
 2005 09  252.0
 2005 08  532.0
 2005 07  82·0
 2005 06  912·1
 2005 05  992.0
 2005 04  801·9
 2005 03  72.0
 2005 02  822·0
 2005 01  622.1
 2004 12 72.0
 2004 11 622.1
 2004 10 572.1
 2004 09 302.0
 2004 08 832.1
 2004 07 552.2
 2004 06 282·1
 2004 05 492.1
 2004 04 842·2
 2004 03 932.2
 2004 02 342·2
 2004 01 882·3
 2002 12 102·2
 2002 11 72·1
 2002 10 372.2
 2002 09 412·2
 2002 08 872.3
 2002 07 532·2
 2002 06 262·1
 2002 05 272·1
 2002 04 652.2
 2002 03 152.1
 2002 02 132·2
 2002 01 902·2
 2001 12  202·0
 2001 11  972.2
 2001 10  352.1
 2001 09  992·1
 2001 08  522.0
 2001 07  321.9
 2001 06  572.1
 2001 05  492.1
 2001 04  851.9
 2001 03  762·0
 2001 02  661·9
 2001 01  581.9
 2000 12 722·0
 2000 11 122.1
 2000 10 742·1
 2000 09 722·0
 2000 08 862.0
 2000 07 452.0
 2000 06 202.2
 2000 05 582·0
 2000 04 292.1
 2000 03 72·1
 2000 02 661.7
 2000 01 111.8
 1999 12  261·9
 1999 11  562·0
 1999 10  12·0
 1999 09  502·0
 1999 08  272.1
 1999 07  721·9
 1999 06  371.9
 1999 05  192·0
 1999 04  82.0
 1999 03  622.1
 1999 02  122.1
 1999 01  882·1
 1998 12 692.2
 1998 11 582·1
 1998 10 902.1
 1998 09 511.9
 1998 08 352.1
 1998 07 171·9
 1998 06 572.0
 1998 05 261·9
 1998 04 572·1
 1998 03 202·0
 1998 02 282.0
 1998 01 582.1
 1997 12  102·0
 1997 11  732·1
 1997 10  382·0
 1997 09  172.1
 1997 08  942.0
 1997 07  102.1
 1997 06  532·1
 1997 05  952·0
 1997 04  361.9
 1997 03  852·0
 1997 02  592.2
 1997 01  122·0
 1996 12 852.0
 1996 11 811.9
 1996 10 702·0
 1996 09 142·1
 1996 08 172·1
 1996 07 42.1
 1996 06 232.1
 1996 05 672.1
 1996 04 311.9
 1996 03 872·0
 1996 02 812.3
 1996 01 672.1
 1995 12  552·0
 1995 11  852.2
 1995 10  322·0
 1995 09  342.1
 1995 08  372·2
 1995 07  802.0
 1995 06  891.9
 1995 05  102·0
 1995 04  542·0
 1995 03  792.1
 1995 02  902·0
 1995 01  652·1
 1994 12 52·2
 1994 11 142.3
 1993 12  981·9
 1993 11  941.8
 1993 10  161.9
 1993 09  412·0
 1993 08  12·0
 1993 07  152·1
 1993 06  381.9
 1993 05  422·0
 1993 04  112.0
 1993 03  721·9
 1993 02  462·0
 1993 01  232.0
 1992 12 662·0
 1992 11 352·0
 1992 10 402.0
 1992 09 171·9
 1992 08 301.9
 1992 07 981.9
 1992 06 461.9
 1992 05 791.8
 1992 04 901·9
 1992 03 801·8
 1992 02 131·9
 1992 01 922·0
 1991 12  591·9
 1991 11  251·9
 1991 10  181.9
 1991 09  621.9
 1991 08  761.9
 1991 07  31.9
 1991 06  611·9
 1991 05  201.9
 1991 04  21·9
 1991 03  72.0
 1991 02  681.8
 1991 01  241·9
 1990 12 261·8
 1990 11 561·8
 1990 10 871.9
 1990 09 551·9
 1990 08 601·8
 1990 07 951.8
 1990 06 961.8
 1990 05 201.8
 1990 04 431.9
 1990 03 931.8
 1990 02 941·8
 1990 01 492.0
 1989 12  381·8
 1989 11  442·0
 1989 10  71·9
 1989 09  11.9
 1989 08  321.9
 1989 07  661.8
 1989 06  851·8
 1989 05  561.8
 1989 04  381·7
 1989 03  61.6
 1989 02  41.8
 1989 01  211.8
 1988 12 941·8
 1988 11 301.6
 1988 10 631·7
 1988 09 291.7
 1988 08 631·9
 1988 07 342·0
 1988 06 891·8
 1988 05 341·7
 1988 04 331·7
 1988 03 371·6
 1988 02 321·7
 1988 01 201·6
 1987 12  171.7
 1987 11  821·8
 1987 10  671·7
 1987 09  931·8
 1987 08  531.8
 1987 07  401.7
 1987 06  941·7
 1987 05  841.7
 1987 04  31.7
 1987 03  31.8
 1987 02  391.8
 1987 01  491.8
 1986 12 561·8
 1986 11 921·8
 1986 10 531·7
 1986 09 721.7
 1986 08 241.8
 1986 07 501·7
 1986 06 101.8
 1986 05 581.8
 1986 04 461.8
 1986 03 471·8
 1986 02 111.8
 1986 01 391.7
 1985 12  831·8
 1985 11  761.7
 1985 10  821.7
 1985 09  711.8
 1985 08  251.7
 1985 07  571·7
 1985 06  731.7
 1985 05  371.7
 1985 04  831·7
 1985 03  341·8
 1985 02  581.7
 1985 01  431·7
 1984 12 961.9
 1984 11 761·8
 1984 10 401·9
 1984 09 201.8
 1984 08 271·7
 1984 07 781·8
 1984 06 421.7
 1984 05 251.7
 1984 04 641·8
 1984 03 571.8
 1984 02 161·7
 1984 01 401.8
 1983 12  191.8
 1983 11  591.7
 1983 10  371.8
 1983 09  721.8
 1983 08  301.7
 1983 07  531.8
 1983 06  51·6
 1983 05  511.8
 1983 04  611·7
 1983 03  331·7
 1983 02  451·8
 1983 01  351·8
 1982 12 991.8
 1982 11 171·8
 1982 10 91·7
 1982 09 61·8
 1982 08 571.8
 1982 07 511·7
 1982 06 701·8
 1982 05 701.7
 1982 04 731.8
 1982 03 21·7
 1982 02 311.8
 1982 01 581·8
 1981 12  91.6
 1981 11  661.7
 1981 10  161·7
 1981 09  271·7
 1981 08  551·6
 1981 07  621.8
 1981 06  751·7
 1981 05  601·7
 1981 04  221·6
 1981 03  331.7
 1981 02  841.7
 1981 01  621.6
 1980 12 481.7
 1980 11 491·7
 1980 10 441.7
 1980 09 651·6
 1980 08 971·7
 1980 07 41.8
 1980 06 791.7
 1980 05 261.6
 1980 04 561.7
 1980 03 161·7
 1980 02 411.7
 1980 01 271.7
 1979 12  391·6
 1979 11  311·6
 1979 10  31·7
 1979 09  741·8
 1979 08  821·7
 1979 07  181·8
 1979 06  681.6
 1979 05  981·6
 1979 04  501·6
 1979 03  691.6
 1979 02  601·7
 1979 01  571·7
 1978 12 291.5
 1978 11 61.5
 1978 10 301.6
 1978 09 321.5
 1978 08 331.6
 1978 07 711.5
 1978 06 531·5
 1978 05 291·6
 1978 04 991·7
 1978 03 341·8
 1978 02 291·6
 1978 01 811·7
 1977 12  921·7
 1977 11  891.7
 1977 10  841.7
 1977 09  441·6
 1977 08  971.7
 1977 07  551.5
 1977 06  681·5
 1977 05  01·7
 1977 04  291·6
 1977 03  771.6
 1977 02  571.6
 1977 01  541.7
 1976 12 251·7
 1976 11 221.7
 1976 10 511.7
 1976 09 401·8
 1976 08 481.8
 1976 07 871·7
 1976 06 751·7
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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.
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, 45-54 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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