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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 23441·
 2000 02 83466·
 2000 03 46457.
 2000 04 1445.
 2000 05 63460.
 2000 06 48513·
 2000 07 75477·
 2000 08 91504·
 2000 09 26398.
 2000 10 68451.
 2000 11 60448.
 2000 12 36414·
 2001 01  63507·
 2001 02  23455.
 2001 03  16398·
 2001 04  79401.
 2001 05  47462.
 2001 06  22556·
 2001 07  79589·
 2001 08  91489.
 2001 09  80475·
 2001 10  96455·
 2001 11  14445·
 2001 12  65522·
 2002 01 88536·
 2002 02 0551·
 2002 03 7505.
 2002 04 21487.
 2002 05 20481.
 2002 06 18616.
 2002 07 71636.
 2002 08 2557.
 2002 09 52525·
 2002 10 55537·
 2002 11 46556.
 2002 12 78530.
 2003 01  84608·
 2003 02  44594.
 2003 03  92610.
 2003 04  43621·
 2003 05  42593·
 2003 06  40714·
 2003 07  99694.
 2003 08  16616·
 2003 09  76639.
 2003 10  26637·
 2003 11  79636.
 2003 12  41617.
 2004 01 61665.
 2004 02 7680·
 2004 03 70710.
 2004 04 88628.
 2004 05 99653·
 2004 06 17798·
 2004 07 35725·
 2004 08 50659·
 2004 09 13551·
 2004 10 11667·
 2004 11 62614.
 2004 12 46615·
 2005 01  56615.
 2005 02  71585.
 2005 03  64638.
 2005 04  21630.
 2005 05  1613·
 2005 06  4797·
 2005 07  78721·
 2005 08  45750·
 2005 09  50672.
 2005 10  41609·
 2005 11  68557·
 2005 12  10521.
 2006 01 28553·
 2006 02 39567.
 2006 03 21614·
 2006 04 36585.
 2006 05 84523.
 2006 06 80702·
 2006 07 50718·
 2006 08 68609·
 2006 09 96602·
 2006 10 69644·
 2006 11 94551·
 2006 12 74568.
 2007 01  63603·
 2007 02  40576·
 2007 03  15602.
 2007 04  49525·
 2007 05  10639·
 2007 06  49723.
 2007 07  1672.
 2007 08  11775·
 2007 09  87610.
 2007 10  76552.
 2007 11  64542·
 2007 12  5618.
 2008 01 71703·
 2008 02 29636.
 2008 03 44691.
 2008 04 0722.
 2008 05 62648.
 2008 06 40845·
 2008 07 2825.
 2008 08 91831.
 2008 09 84747·
 2008 10 65749·
 2008 11 26804.
 2008 12 96982.
 2009 01  891045·
 2009 02  861086·
 2009 03  301225.
 2009 04  591174.
 2009 05  521140.
 2009 06  91323·
 2009 07  511227·
 2009 08  491260.
 2009 09  721144·
 2009 10  661184.
 2009 11  531232·
 2009 12  621384·
 2010 01 761340·
 2010 02 131419·
 2010 03 221355·
 2010 04 151341.
 2010 05 151266.
 2010 06 331342·
 2010 07 731202.
 2010 08 531274·
 2010 09 621306.
 2010 10 321308·
 2010 11 421374.
 2010 12 461285.
 2011 01  191352.
 2011 02  411326.
 2011 03  941355·
 2011 04  861290.
 2011 05  111252·
 2011 06  181506·
 2011 07  141242.
 2011 08  941350·
 2011 09  891299.
 2011 10  441195·
 2011 11  181321·
 2011 12  141277.
 2012 01 281418·
 2012 02 251254·
 2012 03 421353·
 2012 04 141256.
 2012 05 281230.
 2012 06 931477·
 2012 07 491332.
 2012 08 901274·
 2012 09 141292.
 2012 10 51345.
 2012 11 271275.
 2012 12 591314.
 2013 01  381411·
 2013 02  421282·
 2013 03  901233·
 2013 04  661244·
 2013 05  741338·
 2013 06  121500.
 2013 07  741363.
 2013 08  801323·
 2013 09  221263.
 2013 10  451354.
 2013 11  441190·
 2013 12  961161.
 2014 01 101197·
 2014 02 981207·
 2014 03 861200.
 2014 04 331218·
 2014 05 851156.
 2014 06 541372·
 2014 07 141183·
 2014 08 341159.
 2014 09 251042.
 2014 10 181117.
 2014 11 651106.
 2014 12 69984.
 2015 01  291069.
 2015 02  221004.
 2015 03  31054·
 2015 04  32967·
 2015 05  231017·
 2015 06  231127·
 2015 07  161153·
 2015 08  421169·
 2015 09  56967·
 2015 10  3913·
 2015 11  15961·
 2015 12  43988.
 2016 01 61011·
 2016 02 68913.
 2016 03 40911·
 2016 04 5937·
 2016 05 71976.
 2016 06 501064.
 2016 07 521124·
 2016 08 211125.
 2016 09 78948·
 2016 10 5884.
 2016 11 41893.
 2016 12 11862.
 2017 01  77964.
 2017 02  15812.
 2017 03  18849.
 2017 04  18744.
 2017 05  42848.
 2017 06  881052.


 2017 07  22938.
 2017 08  13922.
 2017 09  76723.
 2017 10  53711·
 2017 11  16674.
 2017 12  88802.
 2018 01 2777.
 2018 02 69768.
 2018 03 87765.
 2018 04 64782.
 2018 05 71723·
 2018 06 16965.
 2018 07 48931.
 2018 08 85871·
 2018 09 59697.
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Similar Series

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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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