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 Series Title: Average Number of Search Methods Used, 25-34 years, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 781.9
 2012 03 122.0
 2012 02 772.0
 2012 01 722.0
 2011 12  152.0
 2011 11  312.2
 2011 10  432·1
 2011 09  72.0
 2011 08  572·1
 2011 07  862·1
 2011 06  482.0
 2011 05  782.0
 2011 04  522.0
 2011 03  602·1
 2011 02  32.1
 2011 01  302·2
 2010 12 782·1
 2010 11 572.0
 2010 10 482·2
 2010 09 312·0
 2010 08 332·0
 2010 07 102.0
 2010 06 452·1
 2010 05 752.0
 2010 04 442·1
 2010 03 762.1
 2010 02 822.1
 2010 01 822.1
 2009 12  602.1
 2009 11  362·1
 2009 10  722·0
 2009 09  972.0
 2009 08  582.1
 2009 07  972.0
 2009 06  522·2
 2009 05  872.1
 2009 04  372.2
 2009 03  902·1
 2009 02  862·1
 2009 01  472.0
 2008 12 232·1
 2008 11 722.2
 2008 10 622·1
 2008 09 971·9
 2008 08 662·0
 2008 07 252.1
 2008 06 922·0
 2008 05 802·0
 2008 04 432·1
 2008 03 552.0
 2008 02 151.8
 2008 01 662.0
 2007 12  522·0
 2007 11  951.9
 2007 10  921.8
 2007 09  482.0
 2007 08  201·8
 2007 07  01·9
 2007 06  131.8
 2007 05  461.9
 2007 04  971.8
 2007 03  521·9
 2007 02  901·8
 2007 01  42.0
 2006 12 582.0
 2006 11 581.9
 2006 10 611.9
 2006 09 921·9
 2006 08 41.8
 2006 07 501·8
 2006 06 881·8
 2006 05 22·0
 2006 04 602·0
 2006 03 842.0
 2006 02 601·9
 2006 01 552·0
 2005 12  761.9
 2005 11  422·0
 2005 10  901.9
 2005 09  951.9
 2005 08  281·9
 2005 07  312·0
 2005 06  151·9
 2005 05  902·0
 2005 04  172.0
 2005 03  812·0
 2005 02  982·0
 2005 01  351·9
 2004 12 671.9
 2004 11 511.8
 2004 10 282.0
 2004 09 491·9
 2004 08 292·1
 2004 07 212.0
 2004 06 162.1
 2004 05 762.0
 2004 04 792.0
 2004 03 971.9
 2004 02 21.9
 2004 01 862·0
 2002 12 162.0
 2002 11 132.0
 2002 10 482·0
 2002 09 712·0
 2002 08 672·2
 2002 07 242·1
 2002 06 412·0
 2002 05 532.0
 2002 04 812·0
 2002 03 122.0
 2002 02 952.0
 2002 01 742·0
 2001 12  352·0
 2001 11  832·2
 2001 10  482.1
 2001 09  41.9
 2001 08  272·1
 2001 07  701.9
 2001 06  621·9
 2001 05  372.0
 2001 04  851·9
 2001 03  291.9
 2001 02  251·7
 2001 01  911·8
 2000 12 571·9
 2000 11 411·7
 2000 10 512·1
 2000 09 131·9
 2000 08 201.9
 2000 07 131.9
 2000 06 771·6
 2000 05 691.7
 2000 04 751·7
 2000 03 771·8
 2000 02 651.9
 2000 01 551·8
 1999 12  452·1
 1999 11  902.1
 1999 10  52.0
 1999 09  902.0
 1999 08  822.0
 1999 07  331.9
 1999 06  91·9
 1999 05  182.0
 1999 04  621·9
 1999 03  121.9
 1999 02  141·9
 1999 01  71·9
 1998 12 831.8
 1998 11 601.9
 1998 10 842.0
 1998 09 531.8
 1998 08 731.9
 1998 07 332.0
 1998 06 62·0
 1998 05 732.0
 1998 04 811·9
 1998 03 131·8
 1998 02 931.8
 1998 01 142.1
 1997 12  831·8
 1997 11  61.9
 1997 10  842.0
 1997 09  421.9
 1997 08  791.9
 1997 07  442·0
 1997 06  411.8
 1997 05  532.0
 1997 04  942.0
 1997 03  831·9
 1997 02  522·0
 1997 01  671·9
 1996 12 791·9
 1996 11 62.1
 1996 10 302.1
 1996 09 262.0
 1996 08 92.1
 1996 07 192·0
 1996 06 132.0
 1996 05 01.9
 1996 04 851·9
 1996 03 531·9
 1996 02 641·9
 1996 01 831·9
 1995 12  322·0
 1995 11  651·9
 1995 10  702·0
 1995 09  951.9
 1995 08  12.0
 1995 07  371.9
 1995 06  441·9
 1995 05  792.0
 1995 04  661.9
 1995 03  761.9
 1995 02  251·9
 1995 01  51·9
 1994 12 281·9
 1994 11 121·9
 1993 12  761·8
 1993 11  661·8
 1993 10  132.0
 1993 09  41.8
 1993 08  831·9
 1993 07  831.9
 1993 06  711·9
 1993 05  311.9
 1993 04  601.8
 1993 03  981·9
 1993 02  781·9
 1993 01  21.9
 1992 12 461.9
 1992 11 821·9
 1992 10 331·9
 1992 09 471.9
 1992 08 21.9
 1992 07 282.0
 1992 06 621.9
 1992 05 241.9
 1992 04 171·9
 1992 03 551.9
 1992 02 162.0
 1992 01 131·9
 1991 12  41.9
 1991 11  91.9
 1991 10  701·9
 1991 09  221.9
 1991 08  01·8
 1991 07  571.9
 1991 06  241.9
 1991 05  831.9
 1991 04  681·9
 1991 03  931·9
 1991 02  41·8
 1991 01  511·8
 1990 12 971·8
 1990 11 381·8
 1990 10 591.9
 1990 09 81·7
 1990 08 991.8
 1990 07 351.8
 1990 06 671.8
 1990 05 621·8
 1990 04 121·8
 1990 03 541.8
 1990 02 261·8
 1990 01 441.8
 1989 12  991.8
 1989 11  871.8
 1989 10  631·9
 1989 09  101·8
 1989 08  471·8
 1989 07  561.8
 1989 06  271.7
 1989 05  421·7
 1989 04  711·8
 1989 03  31·8
 1989 02  941.8
 1989 01  461.8
 1988 12 71·6
 1988 11 981.7
 1988 10 651.7
 1988 09 551.7
 1988 08 191.7
 1988 07 351.6
 1988 06 641.7
 1988 05 251·7
 1988 04 941.7
 1988 03 331·8
 1988 02 431·7
 1988 01 381.8
 1987 12  451·8
 1987 11  371·8
 1987 10  771·8
 1987 09  991·6
 1987 08  111.7
 1987 07  151.8
 1987 06  651.8
 1987 05  421·7
 1987 04  531·7
 1987 03  611.7
 1987 02  341·8
 1987 01  221.7
 1986 12 611.8
 1986 11 951.8
 1986 10 341·8
 1986 09 221.8
 1986 08 461·8
 1986 07 621.8
 1986 06 391·8
 1986 05 471·8
 1986 04 481.8
 1986 03 291·8
 1986 02 521.8
 1986 01 291·8
 1985 12  271.8
 1985 11  911·8
 1985 10  961.7
 1985 09  261·8
 1985 08  741.8
 1985 07  681·9
 1985 06  231·8
 1985 05  191.8
 1985 04  01·7
 1985 03  31·9
 1985 02  71·8
 1985 01  131.8
 1984 12 431·7
 1984 11 651·8
 1984 10 501·7
 1984 09 421·8
 1984 08 661.9
 1984 07 491·7
 1984 06 761·8
 1984 05 621·8
 1984 04 581·8
 1984 03 751.7
 1984 02 361·8
 1984 01 541·8
 1983 12  301.8
 1983 11  851·7
 1983 10  51·8
 1983 09  241.8
 1983 08  211·7
 1983 07  491.8
 1983 06  841·8
 1983 05  61.8
 1983 04  951·8
 1983 03  621.7
 1983 02  981·8
 1983 01  541·8
 1982 12 371.7
 1982 11 411.8
 1982 10 981·8
 1982 09 521·7
 1982 08 631·8
 1982 07 331·8
 1982 06 581.8
 1982 05 41·8
 1982 04 81·8
 1982 03 51·8
 1982 02 801.8
 1982 01 451·8
 1981 12  371·8
 1981 11  521.7
 1981 10  891·7
 1981 09  281·8
 1981 08  381.7
 1981 07  931.7
 1981 06  341.7
 1981 05  381.7
 1981 04  221·7
 1981 03  721·7
 1981 02  921·7
 1981 01  791·7
 1980 12 281·7
 1980 11 591·7
 1980 10 621·7
 1980 09 841.8
 1980 08 201·8
 1980 07 461.8
 1980 06 711·7
 1980 05 91·7
 1980 04 841·8
 1980 03 551·8
 1980 02 691·8
 1980 01 371·7
 1979 12  341·7
 1979 11  281·7
 1979 10  301·8
 1979 09  721.7
 1979 08  71.8
 1979 07  351.8
 1979 06  561·8
 1979 05  491.7
 1979 04  671·7
 1979 03  691.7
 1979 02  721·7
 1979 01  221·8
 1978 12 11·7
 1978 11 511.7
 1978 10 281·7
 1978 09 731.8
 1978 08 221·7
 1978 07 241·6
 1978 06 991.7
 1978 05 101.7
 1978 04 691·7
 1978 03 581.7
 1978 02 861.7
 1978 01 641·7
 1977 12  31.7
 1977 11  461·9
 1977 10  151·8
 1977 09  911·7
 1977 08  141.8
 1977 07  81.7
 1977 06  351·8
 1977 05  731.7
 1977 04  131.8
 1977 03  871.7
 1977 02  231.8
 1977 01  171·8
 1976 12 391.9
 1976 11 541.8
 1976 10 781·7
 1976 09 551·8
 1976 08 541.8
 1976 07 11.8
 1976 06 261.8
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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, 25-34 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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