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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 686604.
 2000 02 816959·
 2000 03 826784.
 2000 04 46897·
 2000 05 76376.
 2000 06 485912.
 2000 07 935401.
 2000 08 315409·
 2000 09 366061·
 2000 10 397514·
 2000 11 297179.
 2000 12 817098·
 2001 01  76813·
 2001 02  347553·
 2001 03  47056.
 2001 04  988211.
 2001 05  966689.
 2001 06  426024.
 2001 07  555573·
 2001 08  535660·
 2001 09  16976·
 2001 10  927695.
 2001 11  478024·
 2001 12  397327.
 2002 01 506935·
 2002 02 438002.
 2002 03 657206.
 2002 04 756858.
 2002 05 926698.
 2002 06 756135·
 2002 07 256026.
 2002 08 55808·
 2002 09 36660.
 2002 10 967151·
 2002 11 628459·
 2002 12 997994.
 2003 01  837607.
 2003 02  377938·
 2003 03  407490.
 2003 04  517269·
 2003 05  576937·
 2003 06  546533·
 2003 07  486163·
 2003 08  796139.
 2003 09  766959.
 2003 10  308092.
 2003 11  978446·
 2003 12  287625·
 2004 01 157424·
 2004 02 707527.
 2004 03 277278·
 2004 04 687494·
 2004 05 757292.
 2004 06 76964·
 2004 07 996330.
 2004 08 916422.
 2004 09 817546.
 2004 10 978283·
 2004 11 18801.
 2004 12 187474·
 2005 01  837341.
 2005 02  227600.
 2005 03  477356·
 2005 04  937240.
 2005 05  587204.
 2005 06  886768·
 2005 07  756256·
 2005 08  846191.
 2005 09  47037·
 2005 10  278486.
 2005 11  479160.
 2005 12  857955·
 2006 01 487401.
 2006 02 968018·
 2006 03 507531·
 2006 04 178801·
 2006 05 406903.
 2006 06 776624·
 2006 07 996319.
 2006 08 236234.
 2006 09 556999.
 2006 10 757978.
 2006 11 318806·
 2006 12 727383·
 2007 01  957545.
 2007 02  239115.
 2007 03  97782·
 2007 04  587869.
 2007 05  837335.
 2007 06  776869·
 2007 07  206401.
 2007 08  16520.
 2007 09  717346.
 2007 10  208191·
 2007 11  787717.
 2007 12  447780·
 2008 01 337265.
 2008 02 568349·
 2008 03 217661·
 2008 04 577727.
 2008 05 717205·
 2008 06 197076.
 2008 07 116602.
 2008 08 346571.
 2008 09 107410·
 2008 10 658512·
 2008 11 369281·
 2008 12 958203.
 2009 01  08331·
 2009 02  768523·
 2009 03  98214.
 2009 04  828448·
 2009 05  167775·
 2009 06  577620.
 2009 07  697041.
 2009 08  657035.
 2009 09  6012948.
 2009 10  419555·
 2009 11  7710007·
 2009 12  398668·
 2010 01 558355·
 2010 02 8510075·
 2010 03 238247·
 2010 04 238114.
 2010 05 537814.
 2010 06 707530·
 2010 07 186990.
 2010 08 607102.
 2010 09 307811·
 2010 10 28904·
 2010 11 09823·
 2010 12 218279.
 2011 01  848957.
 2011 02  148633·
 2011 03  338246·
 2011 04  988216.
 2011 05  437829·
 2011 06  617420·
 2011 07  56902.
 2011 08  117005.
 2011 09  567632·
 2011 10  278730.
 2011 11  289590·
 2011 12  58029.
 2012 01 988240.
 2012 02 168656·
 2012 03 408447·
 2012 04 488478.
 2012 05 718140.
 2012 06 617565.
 2012 07 47136.
 2012 08 357293·
 2012 09 987732·
 2012 10 198994·
 2012 11 88360·
 2012 12 858139.
 2013 01  328091·
 2013 02  718614·
 2013 03  658260·
 2013 04  418062.
 2013 05  477685·
 2013 06  247517·
 2013 07  137217.
 2013 08  737051.
 2013 09  437643.
 2013 10  107689.
 2013 11  148098·
 2013 12  768249.
 2014 01 468130.
 2014 02 8410109.
 2014 03 578219·
 2014 04 687894.
 2014 05 77399·
 2014 06 297369.
 2014 07 547034·
 2014 08 936932.
 2014 09 17350.
 2014 10 528860·
 2014 11 449477·
 2014 12 217724·
 2015 01  278341.
 2015 02  848851.
 2015 03  898001.
 2015 04  458172·
 2015 05  127779·
 2015 06  817573·
 2015 07  777228·
 2015 08  867065.
 2015 09  613049·
 2015 10  259317·
 2015 11  2110117·
 2015 12  868448.
 2016 01 858384.
 2016 02 249001.
 2016 03 588217·
 2016 04 168253.
 2016 05 487914.
 2016 06 87639.
 2016 07 537442.
 2016 08 687352·
 2016 09 217790.
 2016 10 349311·
 2016 11 929991·
 2016 12 638316.
 2017 01  548678.
 2017 02  848803·
 2017 03  899037.
 2017 04  459275·
 2017 05  247909.
 2017 06  657348.
 2017 07  817089·
 2017 08  837140·
 2017 09  298057·


 2017 10  88584·
 2017 11  329422·
 2017 12  707921·
 2018 01 978387.
 2018 02 698760·
 2018 03 288461·
 2018 04 267994·
 2018 05 767501.
 2018 06 317423·
 2018 07 847127.
 2018 08 957396·
 2018 09 438064.
 2018 10 09031·
 2018 11 378068·
 2018 12 477894.
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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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