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 Series Title: Persons At Work in Education and Health Services Industries, Wage and Salary Workers, Worked 1-34 Hours: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 176604·
 2000 02 286959.
 2000 03 166784·
 2000 04 86897·
 2000 05 566376·
 2000 06 145912·
 2000 07 375401.
 2000 08 135409·
 2000 09 66061·
 2000 10 427514·
 2000 11 37179.
 2000 12 597098.
 2001 01  166813·
 2001 02  937553·
 2001 03  277056.
 2001 04  938211.
 2001 05  626689.
 2001 06  766024·
 2001 07  455573·
 2001 08  825660.
 2001 09  446976·
 2001 10  207695.
 2001 11  228024.
 2001 12  207327.
 2002 01 886935.
 2002 02 838002·
 2002 03 467206·
 2002 04 286858·
 2002 05 446698.
 2002 06 476135.
 2002 07 286026.
 2002 08 495808·
 2002 09 886660·
 2002 10 177151·
 2002 11 88459.
 2002 12 527994.
 2003 01  197607.
 2003 02  267938·
 2003 03  477490.
 2003 04  327269·
 2003 05  636937.
 2003 06  316533·
 2003 07  346163·
 2003 08  76139.
 2003 09  716959.
 2003 10  138092.
 2003 11  828446.
 2003 12  227625.
 2004 01 187424·
 2004 02 787527.
 2004 03 287278.
 2004 04 457494.
 2004 05 57292·
 2004 06 586964.
 2004 07 366330·
 2004 08 726422.
 2004 09 567546·
 2004 10 118283.
 2004 11 938801·
 2004 12 217474.
 2005 01  227341·
 2005 02  177600.
 2005 03  137356.
 2005 04  367240·
 2005 05  797204.
 2005 06  836768·
 2005 07  326256·
 2005 08  866191·
 2005 09  277037.
 2005 10  418486·
 2005 11  159160.
 2005 12  667955.
 2006 01 917401.
 2006 02 478018·
 2006 03 487531·
 2006 04 948801·
 2006 05 226903.
 2006 06 846624.
 2006 07 466319·
 2006 08 156234.
 2006 09 956999.
 2006 10 577978.
 2006 11 458806·
 2006 12 997383.
 2007 01  117545·
 2007 02  999115·
 2007 03  87782.
 2007 04  387869·
 2007 05  947335·
 2007 06  666869.
 2007 07  246401.
 2007 08  536520.
 2007 09  967346.
 2007 10  398191·
 2007 11  57717.
 2007 12  867780·
 2008 01 927265.
 2008 02 268349·
 2008 03 907661·
 2008 04 97727·
 2008 05 817205.
 2008 06 577076.
 2008 07 416602·
 2008 08 146571.
 2008 09 907410·
 2008 10 918512·
 2008 11 469281·
 2008 12 218203·
 2009 01  698331.
 2009 02  78523·
 2009 03  178214·
 2009 04  748448·
 2009 05  937775·
 2009 06  147620.
 2009 07  947041·
 2009 08  417035.
 2009 09  6312948.
 2009 10  419555·
 2009 11  3810007·
 2009 12  188668.
 2010 01 48355·
 2010 02 4710075·
 2010 03 388247·
 2010 04 248114·
 2010 05 667814.
 2010 06 137530·
 2010 07 66990.
 2010 08 27102.
 2010 09 257811·
 2010 10 468904·
 2010 11 819823·
 2010 12 218279·
 2011 01  818957.
 2011 02  768633.
 2011 03  258246·
 2011 04  778216.
 2011 05  607829·
 2011 06  617420·
 2011 07  266902.
 2011 08  877005.
 2011 09  117632·
 2011 10  828730·
 2011 11  979590.
 2011 12  968029·
 2012 01 128240.
 2012 02 478656·
 2012 03 778447.
 2012 04 748478·
 2012 05 608140·
 2012 06 867565·
 2012 07 277136·
 2012 08 137293·
 2012 09 837732.
 2012 10 568994·
 2012 11 358360·
 2012 12 358139.
 2013 01  318091·
 2013 02  398614.
 2013 03  168260.
 2013 04  828062·
 2013 05  797685.
 2013 06  427517·
 2013 07  57217.
 2013 08  237051.
 2013 09  267643.
 2013 10  967689.
 2013 11  688098.
 2013 12  548249·
 2014 01 08130·
 2014 02 5810109.
 2014 03 908219·
 2014 04 927894·
 2014 05 507399.
 2014 06 107369·
 2014 07 867034.
 2014 08 836932·
 2014 09 517350·
 2014 10 578860.
 2014 11 929477.
 2014 12 957724·
 2015 01  48341.
 2015 02  328851.
 2015 03  738001.
 2015 04  238172·
 2015 05  347779.
 2015 06  927573·
 2015 07  167228·
 2015 08  857065·
 2015 09  9213049·
 2015 10  189317.
 2015 11  3310117·
 2015 12  268448.
 2016 01 538384·
 2016 02 169001.
 2016 03 638217.
 2016 04 158253.
 2016 05 187914·
 2016 06 197639·
 2016 07 687442.
 2016 08 457352·
 2016 09 117790·
 2016 10 829311.
 2016 11 379991·
 2016 12 378316.
 2017 01  838678·
 2017 02  898803·
 2017 03  829037·
 2017 04  359275·
 2017 05  117909.
 2017 06  447348·


 2017 07  417089.
 2017 08  67140·
 2017 09  938057·
 2017 10  818584.
 2017 11  789422.
 2017 12  477921·
 2018 01 558387·
 2018 02 558760·
 2018 03 798461.
 2018 04 757994.
 2018 05 497501·
 2018 06 487423·
 2018 07 587127·
 2018 08 357396.
 2018 09 488064.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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 Education and Health Services Industries, Wage and Salary Workers, 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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