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 Series Title: Total At Work in Education and Health Services Industries, Wage and Salary Workers, Worked 1-34 Hours, for Economic Reasons: NSA
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 2000 01 84441·
 2000 02 39466·
 2000 03 59457·
 2000 04 34445·
 2000 05 78460.
 2000 06 7513.
 2000 07 41477.
 2000 08 26504.
 2000 09 94398.
 2000 10 30451.
 2000 11 79448·
 2000 12 74414.
 2001 01  83507.
 2001 02  88455.
 2001 03  88398·
 2001 04  21401.
 2001 05  21462·
 2001 06  90556.
 2001 07  4589·
 2001 08  36489·
 2001 09  7475.
 2001 10  67455·
 2001 11  92445·
 2001 12  13522·
 2002 01 68536.
 2002 02 75551·
 2002 03 38505·
 2002 04 72487.
 2002 05 53481·
 2002 06 96616·
 2002 07 56636·
 2002 08 56557·
 2002 09 38525·
 2002 10 36537·
 2002 11 83556.
 2002 12 36530.
 2003 01  23608·
 2003 02  27594.
 2003 03  83610·
 2003 04  4621·
 2003 05  34593.
 2003 06  27714.
 2003 07  43694.
 2003 08  80616.
 2003 09  21639·
 2003 10  16637.
 2003 11  76636·
 2003 12  8617.
 2004 01 60665·
 2004 02 1680·
 2004 03 20710.
 2004 04 58628.
 2004 05 50653.
 2004 06 13798.
 2004 07 38725.
 2004 08 23659.
 2004 09 18551.
 2004 10 10667·
 2004 11 19614·
 2004 12 22615.
 2005 01  14615.
 2005 02  74585.
 2005 03  73638·
 2005 04  1630.
 2005 05  12613·
 2005 06  10797.
 2005 07  41721·
 2005 08  27750.
 2005 09  14672.
 2005 10  50609·
 2005 11  84557·
 2005 12  95521.
 2006 01 45553.
 2006 02 51567·
 2006 03 90614.
 2006 04 25585·
 2006 05 55523·
 2006 06 95702.
 2006 07 73718.
 2006 08 59609.
 2006 09 20602·
 2006 10 88644.
 2006 11 69551.
 2006 12 69568.
 2007 01  39603·
 2007 02  62576·
 2007 03  43602.
 2007 04  46525·
 2007 05  39639·
 2007 06  73723·
 2007 07  82672.
 2007 08  12775.
 2007 09  70610·
 2007 10  4552.
 2007 11  99542·
 2007 12  9618.
 2008 01 7703.
 2008 02 60636.
 2008 03 31691·
 2008 04 8722.
 2008 05 51648·
 2008 06 74845·
 2008 07 42825.
 2008 08 1831·
 2008 09 27747.
 2008 10 2749·
 2008 11 20804·
 2008 12 9982.
 2009 01  851045.
 2009 02  261086.
 2009 03  771225·
 2009 04  751174·
 2009 05  01140.
 2009 06  521323·
 2009 07  521227·
 2009 08  691260.
 2009 09  741144·
 2009 10  121184.
 2009 11  61232·
 2009 12  851384·
 2010 01 311340.
 2010 02 631419·
 2010 03 291355·
 2010 04 411341.
 2010 05 231266·
 2010 06 861342.
 2010 07 331202·
 2010 08 821274·
 2010 09 231306.
 2010 10 881308·
 2010 11 551374·
 2010 12 781285.
 2011 01  341352.
 2011 02  01326·
 2011 03  591355.
 2011 04  221290·
 2011 05  791252·
 2011 06  801506.
 2011 07  331242.
 2011 08  331350.
 2011 09  101299.
 2011 10  91195·
 2011 11  901321.
 2011 12  561277.
 2012 01 11418.
 2012 02 931254.
 2012 03 671353.
 2012 04 591256·
 2012 05 541230·
 2012 06 641477·
 2012 07 271332·
 2012 08 371274·
 2012 09 941292·
 2012 10 791345.
 2012 11 591275·
 2012 12 101314.
 2013 01  711411·
 2013 02  201282.
 2013 03  741233.
 2013 04  201244·
 2013 05  601338·
 2013 06  921500.
 2013 07  121363·
 2013 08  381323.
 2013 09  621263.
 2013 10  281354.
 2013 11  351190·
 2013 12  571161.
 2014 01 21197·
 2014 02 851207·
 2014 03 301200.
 2014 04 961218.
 2014 05 311156.
 2014 06 441372.
 2014 07 111183.
 2014 08 11159·
 2014 09 231042·
 2014 10 111117.
 2014 11 161106·
 2014 12 39984·
 2015 01  811069·
 2015 02  181004·
 2015 03  71054·
 2015 04  5967.
 2015 05  271017.
 2015 06  231127·
 2015 07  721153·
 2015 08  181169.
 2015 09  15967·
 2015 10  6913·
 2015 11  25961.
 2015 12  22988·
 2016 01 171011·
 2016 02 74913·
 2016 03 2911·
 2016 04 87937.
 2016 05 36976.
 2016 06 591064·
 2016 07 681124·
 2016 08 61125.
 2016 09 96948.
 2016 10 17884·
 2016 11 10893.
 2016 12 99862.
 2017 01  47964·
 2017 02  31812·
 2017 03  40849·
 2017 04  10744·
 2017 05  66848.
 2017 06  61052.
 2017 07  97938·
 2017 08  8922.
 2017 09  52723.


 2017 10  74711·
 2017 11  44674·
 2017 12  86802.
 2018 01 32777.
 2018 02 93768·
 2018 03 68765.
 2018 04 65782·
 2018 05 54723.
 2018 06 43965.
 2018 07 83931.
 2018 08 89871.
 2018 09 95697·
 2018 10 32691.
 2018 11 26731.
 2018 12 26719.
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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: Total At Work in Education and Health Services Industries, Wage and Salary Workers, Worked 1-34 Hours, for Economic Reasons: 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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