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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 456604·
 2000 02 636959.
 2000 03 76784·
 2000 04 106897.
 2000 05 306376·
 2000 06 275912·
 2000 07 645401·
 2000 08 335409·
 2000 09 66061·
 2000 10 147514.
 2000 11 477179.
 2000 12 807098.
 2001 01  246813·
 2001 02  77553.
 2001 03  697056.
 2001 04  948211.
 2001 05  596689·
 2001 06  116024.
 2001 07  685573·
 2001 08  465660·
 2001 09  126976.
 2001 10  597695·
 2001 11  68024·
 2001 12  297327·
 2002 01 86935.
 2002 02 68002.
 2002 03 717206·
 2002 04 616858.
 2002 05 976698·
 2002 06 356135.
 2002 07 776026·
 2002 08 895808·
 2002 09 546660.
 2002 10 537151·
 2002 11 628459.
 2002 12 807994.
 2003 01  817607·
 2003 02  907938·
 2003 03  877490.
 2003 04  287269.
 2003 05  26937·
 2003 06  56533.
 2003 07  416163·
 2003 08  536139.
 2003 09  686959·
 2003 10  778092·
 2003 11  388446.
 2003 12  997625·
 2004 01 547424.
 2004 02 147527.
 2004 03 147278.
 2004 04 367494·
 2004 05 617292.
 2004 06 486964·
 2004 07 336330.
 2004 08 566422·
 2004 09 147546.
 2004 10 358283.
 2004 11 828801·
 2004 12 807474·
 2005 01  637341·
 2005 02  567600.
 2005 03  757356·
 2005 04  517240.
 2005 05  847204.
 2005 06  206768.
 2005 07  506256·
 2005 08  396191·
 2005 09  777037.
 2005 10  568486.
 2005 11  689160·
 2005 12  387955.
 2006 01 687401·
 2006 02 228018·
 2006 03 197531.
 2006 04 668801·
 2006 05 76903·
 2006 06 996624.
 2006 07 156319·
 2006 08 696234·
 2006 09 696999.
 2006 10 947978·
 2006 11 938806.
 2006 12 157383·
 2007 01  557545.
 2007 02  399115·
 2007 03  187782·
 2007 04  987869.
 2007 05  907335·
 2007 06  906869.
 2007 07  766401.
 2007 08  376520·
 2007 09  257346·
 2007 10  298191·
 2007 11  817717.
 2007 12  787780·
 2008 01 357265·
 2008 02 638349.
 2008 03 717661.
 2008 04 887727.
 2008 05 207205.
 2008 06 237076·
 2008 07 76602·
 2008 08 626571·
 2008 09 57410.
 2008 10 668512·
 2008 11 809281.
 2008 12 198203·
 2009 01  428331·
 2009 02  738523.
 2009 03  08214·
 2009 04  38448·
 2009 05  57775·
 2009 06  517620·
 2009 07  67041.
 2009 08  837035·
 2009 09  9512948.
 2009 10  329555·
 2009 11  6110007·
 2009 12  548668·
 2010 01 388355·
 2010 02 7310075.
 2010 03 548247.
 2010 04 358114.
 2010 05 837814·
 2010 06 547530.
 2010 07 956990·
 2010 08 697102·
 2010 09 67811·
 2010 10 848904·
 2010 11 259823.
 2010 12 268279.
 2011 01  88957.
 2011 02  928633.
 2011 03  58246.
 2011 04  08216.
 2011 05  137829.
 2011 06  377420.
 2011 07  236902.
 2011 08  107005·
 2011 09  737632.
 2011 10  998730·
 2011 11  939590·
 2011 12  18029.
 2012 01 628240.
 2012 02 858656.
 2012 03 528447·
 2012 04 418478·
 2012 05 818140·
 2012 06 287565·
 2012 07 637136·
 2012 08 257293.
 2012 09 567732.
 2012 10 828994·
 2012 11 148360.
 2012 12 718139.
 2013 01  368091.
 2013 02  318614·
 2013 03  188260·
 2013 04  248062·
 2013 05  987685·
 2013 06  817517.
 2013 07  127217.
 2013 08  547051·
 2013 09  417643.
 2013 10  637689.
 2013 11  618098·
 2013 12  538249.
 2014 01 928130·
 2014 02 3510109·
 2014 03 508219·
 2014 04 427894·
 2014 05 997399.
 2014 06 777369·
 2014 07 957034·
 2014 08 646932·
 2014 09 397350·
 2014 10 968860·
 2014 11 319477.
 2014 12 887724·
 2015 01  138341.
 2015 02  258851.
 2015 03  238001·
 2015 04  108172·
 2015 05  457779·
 2015 06  197573·
 2015 07  587228.
 2015 08  477065·
 2015 09  8613049·
 2015 10  609317·
 2015 11  4810117.
 2015 12  448448.
 2016 01 118384·
 2016 02 569001·
 2016 03 338217·
 2016 04 718253·
 2016 05 217914·
 2016 06 377639·
 2016 07 757442.
 2016 08 207352.
 2016 09 417790·
 2016 10 609311·
 2016 11 619991.
 2016 12 128316.
 2017 01  218678.


 2017 02  78803.
 2017 03  49037·
 2017 04  919275.
 2017 05  377909.
 2017 06  847348.
 2017 07  437089·
 2017 08  257140·
 2017 09  908057·
 2017 10  248584·
 2017 11  419422.
 2017 12  97921·
 2018 01 48387·
 2018 02 828760.
 2018 03 848461.
 2018 04 637994.
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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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