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 Series Title: Average Number of Search Methods Used, Job Losers Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 122·1
 2012 03 682·1
 2012 02 772.1
 2012 01 602·2
 2011 12  622·2
 2011 11  322.2
 2011 10  182.1
 2011 09  12.1
 2011 08  412·2
 2011 07  562.3
 2011 06  232·2
 2011 05  42.2
 2011 04  02·1
 2011 03  232.1
 2011 02  42·1
 2011 01  122.1
 2010 12 132·2
 2010 11 402.2
 2010 10 992·2
 2010 09 952.2
 2010 08 812·1
 2010 07 372·2
 2010 06 722.2
 2010 05 462.2
 2010 04 302.3
 2010 03 722·3
 2010 02 92·2
 2010 01 852.1
 2009 12  92·2
 2009 11  262·2
 2009 10  242·2
 2009 09  562·2
 2009 08  942·2
 2009 07  62·2
 2009 06  552.2
 2009 05  282.3
 2009 04  862·2
 2009 03  432·2
 2009 02  652·2
 2009 01  952·1
 2008 12 102.2
 2008 11 952.2
 2008 10 412·2
 2008 09 762·1
 2008 08 172·1
 2008 07 422·2
 2008 06 962·2
 2008 05 162.0
 2008 04 812.1
 2008 03 922.1
 2008 02 692.0
 2008 01 832.1
 2007 12  32.0
 2007 11  752·1
 2007 10  222·2
 2007 09  722·1
 2007 08  92·0
 2007 07  492·1
 2007 06  432·1
 2007 05  22.1
 2007 04  492·1
 2007 03  962.1
 2007 02  451.9
 2007 01  172·1
 2006 12 981.9
 2006 11 212·0
 2006 10 662·0
 2006 09 862.1
 2006 08 562.0
 2006 07 572·0
 2006 06 691.9
 2006 05 32.0
 2006 04 501·9
 2006 03 602.0
 2006 02 421·8
 2006 01 881.9
 2005 12  302·0
 2005 11  122·0
 2005 10  972·1
 2005 09  842·1
 2005 08  702·0
 2005 07  202.1
 2005 06  722·0
 2005 05  612·1
 2005 04  711·9
 2005 03  152·0
 2005 02  312.0
 2005 01  122.1
 2004 12 592·0
 2004 11 532·1
 2004 10 612·1
 2004 09 582.2
 2004 08 842·2
 2004 07 172·1
 2004 06 752.1
 2004 05 422·2
 2004 04 222.2
 2004 03 132·1
 2004 02 112·2
 2004 01 332·2
 2002 12 722·1
 2002 11 732·2
 2002 10 322·1
 2002 09 252.1
 2002 08 612·2
 2002 07 532·1
 2002 06 262.2
 2002 05 382·1
 2002 04 382.1
 2002 03 352.0
 2002 02 52·1
 2002 01 162.0
 2001 12  792·0
 2001 11  262.1
 2001 10  82.2
 2001 09  282.1
 2001 08  852·0
 2001 07  562.0
 2001 06  981·9
 2001 05  672.0
 2001 04  802·0
 2001 03  842.0
 2001 02  612.1
 2001 01  542.0
 2000 12 162.0
 2000 11 911·9
 2000 10 121·9
 2000 09 312.1
 2000 08 672·0
 2000 07 821.8
 2000 06 892.0
 2000 05 701.9
 2000 04 341.9
 2000 03 911.9
 2000 02 531.9
 2000 01 621·9
 1999 12  421.9
 1999 11  721·9
 1999 10  931·9
 1999 09  291.9
 1999 08  422.0
 1999 07  92·1
 1999 06  222·0
 1999 05  132·0
 1999 04  91·9
 1999 03  81·9
 1999 02  772.0
 1999 01  842·0
 1998 12 441·9
 1998 11 01.9
 1998 10 231.9
 1998 09 362.0
 1998 08 722·1
 1998 07 422·0
 1998 06 452.0
 1998 05 891.9
 1998 04 432.0
 1998 03 162.0
 1998 02 582·0
 1998 01 852·0
 1997 12  321·9
 1997 11  282.1
 1997 10  02·1
 1997 09  962·1
 1997 08  412.0
 1997 07  102·0
 1997 06  322·0
 1997 05  141.9
 1997 04  941.9
 1997 03  192.0
 1997 02  432·0
 1997 01  582·1
 1996 12 422.1
 1996 11 362·1
 1996 10 472.0
 1996 09 742.0
 1996 08 602·1
 1996 07 672·2
 1996 06 802·1
 1996 05 302·1
 1996 04 492·1
 1996 03 462·1
 1996 02 62·1
 1996 01 202·1
 1995 12  342.1
 1995 11  272·1
 1995 10  122·0
 1995 09  631.9
 1995 08  652.0
 1995 07  931.9
 1995 06  121·9
 1995 05  42.0
 1995 04  181·9
 1995 03  512·0
 1995 02  442·1
 1995 01  112.0
 1994 12 941·4
 1994 11 321.5
 1993 12  691.9
 1993 11  791·8
 1993 10  171.9
 1993 09  921·9
 1993 08  771.9
 1993 07  281.9
 1993 06  371.9
 1993 05  141.9
 1993 04  801.9
 1993 03  01·9
 1993 02  321·9
 1993 01  41·9
 1992 12 161.9
 1992 11 651.9
 1992 10 01·9
 1992 09 931.9
 1992 08 472.0
 1992 07 181.9
 1992 06 671.9
 1992 05 391·8
 1992 04 631·8
 1992 03 771.8
 1992 02 842·0
 1992 01 232·0
 1991 12  751.9
 1991 11  871.8
 1991 10  251.8
 1991 09  511·8
 1991 08  211·9
 1991 07  161·8
 1991 06  921.8
 1991 05  551.9
 1991 04  651·9
 1991 03  601.9
 1991 02  101.9
 1991 01  921.8
 1990 12 941·7
 1990 11 361·8
 1990 10 291·9
 1990 09 441·8
 1990 08 211.9
 1990 07 901·8
 1990 06 241.8
 1990 05 171·9
 1990 04 851.8
 1990 03 901.8
 1990 02 961.7
 1990 01 431·8
 1989 12  471·8
 1989 11  301.8
 1989 10  711·8
 1989 09  781.8
 1989 08  961.8
 1989 07  301·8
 1989 06  981·7
 1989 05  41.8
 1989 04  451.7
 1989 03  341.9
 1989 02  531.9
 1989 01  281·8
 1988 12 321.8
 1988 11 111.8
 1988 10 361.6
 1988 09 811.8
 1988 08 191.8
 1988 07 551.8
 1988 06 741·8
 1988 05 201·8
 1988 04 941·6
 1988 03 841.7
 1988 02 161.7
 1988 01 261.8
 1987 12  711.7
 1987 11  451.9
 1987 10  371.7
 1987 09  71·7
 1987 08  871·7
 1987 07  41.7
 1987 06  381·7
 1987 05  941.7
 1987 04  51·8
 1987 03  571·8
 1987 02  451.7
 1987 01  441·8
 1986 12 131·6
 1986 11 231.7
 1986 10 71·7
 1986 09 371·7
 1986 08 241.7
 1986 07 461·7
 1986 06 11·7
 1986 05 811.8
 1986 04 751.7
 1986 03 951·8
 1986 02 261·7
 1986 01 81.8
 1985 12  311·8
 1985 11  641.7
 1985 10  91·8
 1985 09  741·8
 1985 08  771·8
 1985 07  721.8
 1985 06  981·8
 1985 05  611.7
 1985 04  291·7
 1985 03  641·8
 1985 02  711·7
 1985 01  751.8
 1984 12 221·7
 1984 11 81·8
 1984 10 261·8
 1984 09 481·7
 1984 08 211.8
 1984 07 991.8
 1984 06 901·8
 1984 05 361.7
 1984 04 131.8
 1984 03 551·7
 1984 02 131.7
 1984 01 221.8
 1983 12  111.7
 1983 11  221.7
 1983 10  701·7
 1983 09  121.8
 1983 08  521·8
 1983 07  681.8
 1983 06  621.7
 1983 05  381·7
 1983 04  11·7
 1983 03  871.7
 1983 02  141.7
 1983 01  551.8
 1982 12 441.8
 1982 11 991·8
 1982 10 771·7
 1982 09 471.7
 1982 08 951·8
 1982 07 471·7
 1982 06 251.7
 1982 05 191.8
 1982 04 911·7
 1982 03 11·8
 1982 02 601.8
 1982 01 31·7
 1981 12  951·7
 1981 11  551.7
 1981 10  61·7
 1981 09  561·7
 1981 08  961.7
 1981 07  271·8
 1981 06  141.6
 1981 05  591.7
 1981 04  61.7
 1981 03  631·7
 1981 02  601·7
 1981 01  201·6
 1980 12 621.6
 1980 11 311.7
 1980 10 431·6
 1980 09 691·6
 1980 08 291.6
 1980 07 251.6
 1980 06 901·6
 1980 05 631.7
 1980 04 941·6
 1980 03 651·6
 1980 02 511.6
 1980 01 851.6
 1979 12  691.6
 1979 11  951·7
 1979 10  01·7
 1979 09  401·7
 1979 08  921.8
 1979 07  831·7
 1979 06  391.7
 1979 05  601·6
 1979 04  281.7
 1979 03  251.7
 1979 02  921.6
 1979 01  31·6
 1978 12 621.6
 1978 11 381.7
 1978 10 111·7
 1978 09 481.7
 1978 08 91.6
 1978 07 681·6
 1978 06 701·6
 1978 05 41·6
 1978 04 61·6
 1978 03 831·7
 1978 02 711·7
 1978 01 21·7
 1977 12  161.7
 1977 11  781·8
 1977 10  371.7
 1977 09  981.6
 1977 08  262·1
 1977 07  711.6
 1977 06  201·7
 1977 05  751·5
 1977 04  511.7
 1977 03  71.7
 1977 02  961.7
 1977 01  381·7
 1976 12 271.7
 1976 11 561·6
 1976 10 641·7
 1976 09 201.6
 1976 08 181.6
 1976 07 101·6
 1976 06 501.8
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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, Job Losers Women: 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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