Economagic.com: Economic Time Series Page
 Browse Data Titles  |  Charts  |  Excel  |  Reports  |  Search  |  Maps & Movies  |  Help
 Subscriber Login  |  Subscription Info  |  Turn Advanced Features On  |  Change Defaults

 Series Title: Average Number of Search Methods Used, 16-19 years: 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  |  Reverse this series  |  Data set page
Link to Series in Level 1 Subscription Site
Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
Go to end of data set
 1976 06 531·5
 1976 07 871·5
 1976 08 501·5
 1976 09 851·4
 1976 10 541.4
 1976 11 241·4
 1976 12 641·4
 1977 01  721·4
 1977 02  271·5
 1977 03  661.4
 1977 04  851·4
 1977 05  641·4
 1977 06  231·4
 1977 07  941.5
 1977 08  251.5
 1977 09  51.4
 1977 10  181·4
 1977 11  161.4
 1977 12  241·4
 1978 01 651·4
 1978 02 111.4
 1978 03 621·4
 1978 04 431·4
 1978 05 371·4
 1978 06 291·4
 1978 07 891.4
 1978 08 721·5
 1978 09 401.4
 1978 10 211.4
 1978 11 801.3
 1978 12 221.4
 1979 01  191.4
 1979 02  631·4
 1979 03  401·4
 1979 04  311.4
 1979 05  431.4
 1979 06  551·4
 1979 07  11.5
 1979 08  631.5
 1979 09  51.5
 1979 10  241·4
 1979 11  191·4
 1979 12  51·4
 1980 01 261.4
 1980 02 181.4
 1980 03 781·4
 1980 04 701·4
 1980 05 491.5
 1980 06 131·5
 1980 07 821.5
 1980 08 961.5
 1980 09 431·4
 1980 10 111.4
 1980 11 651·4
 1980 12 461.4
 1981 01  21·4
 1981 02  361·5
 1981 03  811.5
 1981 04  81.4
 1981 05  471·4
 1981 06  381·4
 1981 07  141·5
 1981 08  951·5
 1981 09  201.4
 1981 10  941.4
 1981 11  691.4
 1981 12  451.4
 1982 01 901.5
 1982 02 31.4
 1982 03 791·5
 1982 04 191·5
 1982 05 531·5
 1982 06 911.5
 1982 07 01·5
 1982 08 81·5
 1982 09 271.4
 1982 10 81.5
 1982 11 131·4
 1982 12 221.4
 1983 01  561·5
 1983 02  291.4
 1983 03  261.4
 1983 04  11.4
 1983 05  101·5
 1983 06  561.5
 1983 07  691·5
 1983 08  71.4
 1983 09  831.4
 1983 10  131·4
 1983 11  01·4
 1983 12  281·4
 1984 01 931·5
 1984 02 511·4
 1984 03 01.3
 1984 04 771·4
 1984 05 841·4
 1984 06 451·5
 1984 07 761·5
 1984 08 911.4
 1984 09 271·4
 1984 10 961.4
 1984 11 601·4
 1984 12 351.4
 1985 01  151·4
 1985 02  291.4
 1985 03  71·4
 1985 04  941.4
 1985 05  681.4
 1985 06  941.5
 1985 07  01·4
 1985 08  831·5
 1985 09  291.5
 1985 10  661·4
 1985 11  461.4
 1985 12  401.4
 1986 01 671·4
 1986 02 471.4
 1986 03 761·4
 1986 04 261.4
 1986 05 771.4
 1986 06 611.4
 1986 07 461.5
 1986 08 311.4
 1986 09 781.4
 1986 10 601·4
 1986 11 391·4
 1986 12 671.4
 1987 01  141·4
 1987 02  171·4
 1987 03  601.4
 1987 04  711.4
 1987 05  541·4
 1987 06  351·4
 1987 07  421.5
 1987 08  81·4
 1987 09  921·4
 1987 10  371.4
 1987 11  421.4
 1987 12  641·4
 1988 01 481·4
 1988 02 751.4
 1988 03 401·4
 1988 04 521·3
 1988 05 651.3
 1988 06 241·4
 1988 07 431.4
 1988 08 111.4
 1988 09 131·3
 1988 10 841.3
 1988 11 841·4
 1988 12 41.3
 1989 01  861.4
 1989 02  801.4
 1989 03  191·4
 1989 04  171·4
 1989 05  31.4
 1989 06  641.4
 1989 07  291·4
 1989 08  651·5
 1989 09  81·4
 1989 10  101·4
 1989 11  211·3
 1989 12  851.4
 1990 01 701.4
 1990 02 191.4
 1990 03 271·4
 1990 04 391.4
 1990 05 831.4
 1990 06 161·5
 1990 07 31·4
 1990 08 171·5
 1990 09 681·5
 1990 10 521.5
 1990 11 311.4
 1990 12 301.4
 1991 01  661.5
 1991 02  21.4
 1991 03  181·5
 1991 04  161·4
 1991 05  491·5
 1991 06  661·5
 1991 07  951·5
 1991 08  391.4
 1991 09  91.4
 1991 10  701·3
 1991 11  191.4
 1991 12  871·4
 1992 01 671.5
 1992 02 641.4
 1992 03 711.4
 1992 04 711·4
 1992 05 661.4
 1992 06 241·5
 1992 07 591·6
 1992 08 311.5
 1992 09 751.5
 1992 10 491.5
 1992 11 131·4
 1992 12 291·5
 1993 01  891·4
 1993 02  661·4
 1993 03  911·5
 1993 04  531.4
 1993 05  271.5
 1993 06  251.4
 1993 07  741·5
 1993 08  151·4
 1993 09  321.4
 1993 10  11.4
 1993 11  691·4
 1993 12  541.4
 1994 11 741·6
 1994 12 941.6
 1995 01  71.5
 1995 02  331·5
 1995 03  471.6
 1995 04  301.5
 1995 05  451·5
 1995 06  391·5
 1995 07  711.5
 1995 08  601·5
 1995 09  651.5
 1995 10  861.5
 1995 11  891.5
 1995 12  581·6
 1996 01 731.5
 1996 02 111.5
 1996 03 701.4
 1996 04 251·5
 1996 05 11.5
 1996 06 771·5
 1996 07 91·6
 1996 08 871.6
 1996 09 61·6
 1996 10 721·6
 1996 11 251·5
 1996 12 941.5
 1997 01  691.6
 1997 02  91.5
 1997 03  621·5
 1997 04  201·5
 1997 05  971.5
 1997 06  261.6
 1997 07  891·5
 1997 08  681·5
 1997 09  211.5
 1997 10  851.6
 1997 11  01·6
 1997 12  611.5
 1998 01 991·5
 1998 02 751·5
 1998 03 141.5
 1998 04 511.5
 1998 05 111·6
 1998 06 91·6
 1998 07 761·6
 1998 08 131·6
 1998 09 651·5
 1998 10 241·5
 1998 11 551.6
 1998 12 471.4
 1999 01  921·6
 1999 02  831·5
 1999 03  441·4
 1999 04  781·5
 1999 05  481·5
 1999 06  741·5
 1999 07  631.6
 1999 08  581.6
 1999 09  161.6
 1999 10  111.5
 1999 11  561.5
 1999 12  611.4
 2000 01 21·4
 2000 02 301·5
 2000 03 931.6
 2000 04 871·5
 2000 05 381.4
 2000 06 951·5
 2000 07 671.5
 2000 08 631·6
 2000 09 791.5
 2000 10 941·5
 2000 11 971.4
 2000 12 381.5
 2001 01  91·5
 2001 02  401.5
 2001 03  281.5
 2001 04  891·4
 2001 05  341.5
 2001 06  701·5
 2001 07  281.6
 2001 08  141·5
 2001 09  841·6
 2001 10  471·6
 2001 11  931.6
 2001 12  401.6
 2002 01 171·6
 2002 02 601·5
 2002 03 401·6
 2002 04 181.6
 2002 05 151.5
 2002 06 211·6
 2002 07 151.6
 2002 08 221·6
 2002 09 841·5
 2002 10 681·6
 2002 11 861.5
 2002 12 521·5
 2004 01 561·6
 2004 02 641·6
 2004 03 481.6
 2004 04 361·6
 2004 05 871.6
 2004 06 971.6
 2004 07 191.6
 2004 08 211.6
 2004 09 591.6
 2004 10 791·6
 2004 11 441·6
 2004 12 851.5
 2005 01  791·6
 2005 02  491.5
 2005 03  921.5
 2005 04  271·6
 2005 05  781.5
 2005 06  701.6
 2005 07  561.6
 2005 08  731·6
 2005 09  131.6
 2005 10  291.6
 2005 11  571·6
 2005 12  741.5
 2006 01 661.6
 2006 02 391·6
 2006 03 391.5
 2006 04 31.6
 2006 05 431·5
 2006 06 391.6
 2006 07 691·7
 2006 08 631·6
 2006 09 761.6
 2006 10 901.6
 2006 11 441.5
 2006 12 791·6
 2007 01  221.6
 2007 02  821.5
 2007 03  811.6
 2007 04  01.6
 2007 05  611.5
 2007 06  261.6
 2007 07  241·5
 2007 08  21.4
 2007 09  21·6
 2007 10  621.6
 2007 11  441.6
 2007 12  861.5
 2008 01 741·6
 2008 02 511.6
 2008 03 341.5
 2008 04 771.5
 2008 05 361.6
 2008 06 811·6
 2008 07 141·7
 2008 08 251.6
 2008 09 691·6
 2008 10 661.6
 2008 11 261.6
 2008 12 61.7
 2009 01  791·7
 2009 02  431.6
 2009 03  421·6
 2009 04  201.7
 2009 05  981.7
 2009 06  751.7
 2009 07  541.7
 2009 08  921·7
 2009 09  831.6
 2009 10  511.7
 2009 11  821.7
 2009 12  741.7
 2010 01 151.7
 2010 02 821·7
 2010 03 691·7
 2010 04 401·7
 2010 05 11.6
 2010 06 71.6
 2010 07 861.7
 2010 08 901·7
 2010 09 731·7
 2010 10 891·6
 2010 11 271·6
 2010 12 511.7
 2011 01  861·7
 2011 02  161·6
 2011 03  91·7
 2011 04  721·7
 2011 05  241·7
 2011 06  01.7
 2011 07  791·7
 2011 08  291.7
 2011 09  921·7
 2011 10  801.7
 2011 11  41.7
 2011 12  221·7
 2012 01 221·6


 2012 02 181·7
 2012 03 781.6
 2012 04 771·6
 2012 05 711·7
 2012 06 31·7
 2012 07 221·7
 2012 08 441.6
 2012 09 211·6
 2012 10 461.7
 2012 11 791.7
 2012 12 981·6
 2013 01  771.6
 2013 02  861.6
 2013 03  181.7
 2013 04  401·6
Economagic: Economic Chart Dispenser

Click on chart to change display options.


Similar Series

Skip to Data / More Chart Options

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, 16-19 years: 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

What do people say about Economagic?

Sites of Interest: The Wall Street Examiner: Be prepared. Stay ahead of the herd * vestidos de novia * Cocktailkleider * Bestessayhelp.com - essay writing service. * Celebrity Dresses * Sell Rolex

 Subscriber Login  |  Subscription Info  |  Turn Advanced Features On  |  Change Defaults  |  Disclaimer
 Browse Data Titles  |  Charts  |  Excel  |  Reports  |  Search  |  Maps & Movies  |  Help  |  About  |  Contact Us
 Economagic.com: Economic Time Series Page
Sitemap