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 Series Title: Persons At Work in Education and Health Services Industries, Wage and Salary Workers, Worked 1-34 Hours: NSA
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 2000 01 786604·
 2000 02 776959.
 2000 03 736784.
 2000 04 456897·
 2000 05 956376.
 2000 06 275912·
 2000 07 465401·
 2000 08 895409·
 2000 09 726061·
 2000 10 707514.
 2000 11 157179·
 2000 12 267098·
 2001 01  606813·
 2001 02  867553·
 2001 03  907056·
 2001 04  998211·
 2001 05  336689·
 2001 06  836024.
 2001 07  115573.
 2001 08  785660.
 2001 09  936976.
 2001 10  927695·
 2001 11  418024.
 2001 12  577327·
 2002 01 646935.
 2002 02 708002·
 2002 03 667206·
 2002 04 546858·
 2002 05 976698.
 2002 06 996135·
 2002 07 16026·
 2002 08 155808·
 2002 09 686660·
 2002 10 847151·
 2002 11 838459·
 2002 12 87994.
 2003 01  777607·
 2003 02  587938·
 2003 03  757490.
 2003 04  277269.
 2003 05  486937.
 2003 06  786533.
 2003 07  646163·
 2003 08  926139·
 2003 09  346959·
 2003 10  248092·
 2003 11  648446·
 2003 12  477625·
 2004 01 87424·
 2004 02 47527·
 2004 03 137278·
 2004 04 607494.
 2004 05 727292.
 2004 06 506964·
 2004 07 736330·
 2004 08 276422·
 2004 09 517546·
 2004 10 178283.
 2004 11 338801·
 2004 12 657474.
 2005 01  947341.
 2005 02  887600·
 2005 03  57356·
 2005 04  207240·
 2005 05  797204·
 2005 06  696768.
 2005 07  266256.
 2005 08  606191.
 2005 09  47037·
 2005 10  928486·
 2005 11  619160.
 2005 12  807955·
 2006 01 957401·
 2006 02 138018.
 2006 03 977531·
 2006 04 988801.
 2006 05 46903·
 2006 06 146624.
 2006 07 476319.
 2006 08 596234.
 2006 09 46999.
 2006 10 27978.
 2006 11 488806·
 2006 12 327383.
 2007 01  977545.
 2007 02  99115.
 2007 03  647782·
 2007 04  127869.
 2007 05  87335·
 2007 06  916869.
 2007 07  826401.
 2007 08  166520.
 2007 09  877346·
 2007 10  298191·
 2007 11  167717·
 2007 12  907780·
 2008 01 107265·
 2008 02 308349·
 2008 03 37661.
 2008 04 27727·
 2008 05 777205·
 2008 06 277076.
 2008 07 66602·
 2008 08 476571.
 2008 09 137410·
 2008 10 758512.
 2008 11 139281·
 2008 12 448203.
 2009 01  698331·
 2009 02  568523·
 2009 03  378214.
 2009 04  368448·
 2009 05  207775.
 2009 06  777620·
 2009 07  167041.
 2009 08  947035.
 2009 09  6812948·
 2009 10  709555.
 2009 11  1310007.
 2009 12  118668·
 2010 01 368355·
 2010 02 9110075.
 2010 03 158247·
 2010 04 68114·
 2010 05 757814·
 2010 06 227530·
 2010 07 366990.
 2010 08 247102.
 2010 09 617811.
 2010 10 698904.
 2010 11 139823.
 2010 12 338279·
 2011 01  958957·
 2011 02  648633.
 2011 03  98246·
 2011 04  288216.
 2011 05  17829.
 2011 06  647420.
 2011 07  136902.
 2011 08  287005·
 2011 09  307632.
 2011 10  508730.
 2011 11  369590·
 2011 12  788029·
 2012 01 588240·
 2012 02 298656.
 2012 03 188447·
 2012 04 458478.
 2012 05 848140.
 2012 06 337565·
 2012 07 207136.
 2012 08 257293·
 2012 09 347732·
 2012 10 198994·
 2012 11 318360·
 2012 12 368139·
 2013 01  598091.
 2013 02  678614.
 2013 03  648260.
 2013 04  228062·
 2013 05  347685·
 2013 06  847517.
 2013 07  567217·
 2013 08  547051.
 2013 09  597643.
 2013 10  37689.
 2013 11  708098.
 2013 12  248249·
 2014 01 608130.
 2014 02 8010109·
 2014 03 958219.
 2014 04 537894·
 2014 05 877399·
 2014 06 967369.
 2014 07 437034.
 2014 08 836932.
 2014 09 167350.
 2014 10 588860.
 2014 11 529477.
 2014 12 857724.
 2015 01  468341·
 2015 02  988851.
 2015 03  858001·
 2015 04  538172.
 2015 05  47779·
 2015 06  737573.
 2015 07  307228·
 2015 08  57065·
 2015 09  3913049·
 2015 10  639317.
 2015 11  010117.
 2015 12  858448·
 2016 01 278384.
 2016 02 779001·
 2016 03 328217.
 2016 04 648253.
 2016 05 697914.
 2016 06 447639·
 2016 07 907442.
 2016 08 357352.
 2016 09 907790.
 2016 10 239311·
 2016 11 619991.
 2016 12 168316.
 2017 01  408678·
 2017 02  948803·
 2017 03  589037.
 2017 04  549275·


 2017 05  947909·
 2017 06  647348·
 2017 07  207089.
 2017 08  157140.
 2017 09  548057·
 2017 10  668584.
 2017 11  99422·
 2017 12  957921·
 2018 01 448387.
 2018 02 548760.
 2018 03 128461.
 2018 04 137994·
 2018 05 147501·
 2018 06 127423·
 2018 07 447127.
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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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