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 Series Title: Persons At Work in Nonagricultural Industries, 18-19 years Worked 1-34 Hours: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 591997·
 2012 03 51931·
 2012 02 182014.
 2012 01 391966.
 2011 12  322115.
 2011 11  642010.
 2011 10  31891.
 2011 09  481892·
 2011 08  771966·
 2011 07  282098.
 2011 06  962129·
 2011 05  622097.
 2011 04  452187·
 2011 03  782135·
 2011 02  82053·
 2011 01  252045.
 2010 12 121991·
 2010 11 222032.
 2010 10 791848·
 2010 09 71823.
 2010 08 772030.
 2010 07 902122.
 2010 06 702011.
 2010 05 02042.
 2010 04 672139.
 2010 03 392096·
 2010 02 702084·
 2010 01 251965.
 2009 12  312039·
 2009 11  512020·
 2009 10  922006.
 2009 09  262014·
 2009 08  442089.
 2009 07  332378.
 2009 06  732288.
 2009 05  722142·
 2009 04  92205.
 2009 03  162221.
 2009 02  772252·
 2009 01  562207·
 2008 12 492188.
 2008 11 562152·
 2008 10 912074.
 2008 09 992067·
 2008 08 152110.
 2008 07 372263.
 2008 06 282397.
 2008 05 432386·
 2008 04 822379·
 2008 03 632243·
 2008 02 262121·
 2008 01 592172·
 2007 12  522236.
 2007 11  672160.
 2007 10  482090.
 2007 09  411985.
 2007 08  482025·
 2007 07  62197.
 2007 06  822225.
 2007 05  72125.
 2007 04  232157·
 2007 03  602122.
 2007 02  412264·
 2007 01  22118.
 2006 12 502242·
 2006 11 382151.
 2006 10 622120·
 2006 09 941983·
 2006 08 312044·
 2006 07 692300·
 2006 06 92214.
 2006 05 792330.
 2006 04 912200·
 2006 03 122244·
 2006 02 692319.
 2006 01 752163.
 2005 12  802199·
 2005 11  472342·
 2005 10  552229.
 2005 09  262114.
 2005 08  732105.
 2005 07  812169·
 2005 06  62101.
 2005 05  22347·
 2005 04  722275.
 2005 03  472276.
 2005 02  842188·
 2005 01  962073.
 2004 12 12199·
 2004 11 02267·
 2004 10 772232·
 2004 09 282077.
 2004 08 112205·
 2004 07 222244·
 2004 06 972297.
 2004 05 422339·
 2004 04 772270·
 2004 03 192231·
 2004 02 842254·
 2004 01 62131.
 2003 12  992117·
 2003 11  252176.
 2003 10  992171.
 2003 09  162017·
 2003 08  42010·
 2003 07  942033.
 2003 06  302047.
 2003 05  912122·
 2003 04  412198·
 2003 03  92256·
 2003 02  912345·
 2003 01  732309·
 2002 12 852413.
 2002 11 772428.
 2002 10 202279.
 2002 09 342171.
 2002 08 382142·
 2002 07 282196.
 2002 06 782252·
 2002 05 652446·
 2002 04 242431·
 2002 03 202402·
 2002 02 552479.
 2002 01 882282.
 2001 12  942381·
 2001 11  352427.
 2001 10  622285·
 2001 09  462154.
 2001 08  241953.
 2001 07  782187·
 2001 06  392241·
 2001 05  82360·
 2001 04  132453.
 2001 03  822510·
 2001 02  472607·
 2001 01  682385·
 2000 12 872432.
 2000 11 32431.
 2000 10 752422.
 2000 09 462167.
 2000 08 972042.
 2000 07 232259·
 2000 06 352243·
 2000 05 852598·
 2000 04 182730·
 2000 03 492569.
 2000 02 662616.
 2000 01 552446.
 1999 12  492406.
 1999 11  122437·
 1999 10  312326.
 1999 09  492231.
 1999 08  181960·
 1999 07  682183.
 1999 06  162239.
 1999 05  882581.
 1999 04  742584·
 1999 03  02603·
 1999 02  362623.
 1999 01  152467.
 1998 12 922483·
 1998 11 142572.
 1998 10 272343.
 1998 09 992592·
 1998 08 721982.
 1998 07 422171·
 1998 06 542337·
 1998 05 342481·
 1998 04 422363.
 1998 03 402432.
 1998 02 32371.
 1998 01 402404.
 1997 12  492393·
 1997 11  902314·
 1997 10  882153·
 1997 09  611921.
 1997 08  712014·
 1997 07  981916·
 1997 06  462101·
 1997 05  652350.
 1997 04  72405·
 1997 03  972332.
 1997 02  412367.
 1997 01  482217.
 1996 12 832240.
 1996 11 432232.
 1996 10 602197.
 1996 09 272050·
 1996 08 491918·
 1996 07 172045·
 1996 06 172036·
 1996 05 482236.
 1996 04 802271.
 1996 03 272199·
 1996 02 492205·
 1996 01 792208.
 1995 12  782144·
 1995 11  32182·
 1995 10  182047·
 1995 09  152014.
 1995 08  661975.
 1995 07  32078.
 1995 06  142023·
 1995 05  742246·
 1995 04  972255·
 1995 03  82274·
 1995 02  482240.
 1995 01  22178·
 1994 12 452059·
 1994 11 242136.
 1994 10 592071·
 1994 09 661901·
 1994 08 101896.
 1994 07 852004.
 1994 06 102067·
 1994 05 612171·
 1994 04 182215.
 1994 03 452167·
 1994 02 882287·
 1994 01 62089·
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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: Persons At Work in Nonagricultural Industries, 18-19 years Worked 1-34 Hours: 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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