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 Series Title: Employed: Wage and salary workers, Education and health services: 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 5425290·
 2000 02 925709·
 2000 03 525474.
 2000 04 5725474.
 2000 05 625012·
 2000 06 9124285.
 2000 07 5723744·
 2000 08 7723725.
 2000 09 524900·
 2000 10 5325499·
 2000 11 9125784·
 2000 12 7725985.
 2001 01  225937·
 2001 02  7625964.
 2001 03  2126127.
 2001 04  025872·
 2001 05  7325646.
 2001 06  6824938·
 2001 07  8324712·
 2001 08  1724691·
 2001 09  1825798.
 2001 10  5926262.
 2001 11  4126332.
 2001 12  2126711·
 2002 01 6226487.
 2002 02 626943·
 2002 03 8326882·
 2002 04 3226558.
 2002 05 5526269·
 2002 06 9125389.
 2002 07 2225251.
 2002 08 9425535.
 2002 09 7327001.
 2002 10 2127328.
 2002 11 9527179.
 2002 12 7527253·
 2003 01  1727491.
 2003 02  2727600.
 2003 03  6527677.
 2003 04  7027526·
 2003 05  1127247·
 2003 06  6626606·
 2003 07  2126083·
 2003 08  9826043.
 2003 09  626939.
 2003 10  1927451.
 2003 11  7427232·
 2003 12  327475.
 2004 01 7827421.
 2004 02 9327403·
 2004 03 6428083·
 2004 04 5428259.
 2004 05 2727954·
 2004 06 2127409.
 2004 07 5326612.
 2004 08 4626370.
 2004 09 7827362.
 2004 10 5727913·
 2004 11 2928059.
 2004 12 9828420.
 2005 01  8128074.
 2005 02  8527835.
 2005 03  428188.
 2005 04  5328266·
 2005 05  1328258·
 2005 06  1027627.
 2005 07  1827142·
 2005 08  8227357·
 2005 09  7328312·
 2005 10  6528669.
 2005 11  3128682.
 2005 12  7728690·
 2006 01 8728579.
 2006 02 528826·
 2006 03 3328824·
 2006 04 5828900.
 2006 05 628896.
 2006 06 1427976·
 2006 07 3727597.
 2006 08 7027969.
 2006 09 328930.
 2006 10 9629420·
 2006 11 7929786.
 2006 12 8129490·
 2007 01  8129664·
 2007 02  8529746.
 2007 03  2429927.
 2007 04  8629854.
 2007 05  6529548.
 2007 06  3528584.
 2007 07  5828248·
 2007 08  328897·
 2007 09  429929.
 2007 10  3130131.
 2007 11  9630108·
 2007 12  7829948.
 2008 01 7429983·
 2008 02 7630118.
 2008 03 7430313.
 2008 04 7830699·
 2008 05 7629986.
 2008 06 529618.
 2008 07 5629081.
 2008 08 9929465.
 2008 09 3530690.
 2008 10 7231319·
 2008 11 2931389.
 2008 12 5831174.
 2009 01  131074.
 2009 02  6030905.
 2009 03  730966·
 2009 04  231418.
 2009 05  5030792.
 2009 06  7629964·
 2009 07  2729635.
 2009 08  9729467.
 2009 09  8230468.
 2009 10  5031240.
 2009 11  5231401.
 2009 12  4031216·
 2010 01 2231461·
 2010 02 4131085.
 2010 03 7131204·
 2010 04 4831480·
 2010 05 2231103.
 2010 06 2830616·
 2010 07 9529791.
 2010 08 6729796.
 2010 09 5530853·
 2010 10 2031259.
 2010 11 6331403.
 2010 12 6431402.
 2011 01  2430857.
 2011 02  4730987·
 2011 03  3831328.
 2011 04  3531401·
 2011 05  5331091.
 2011 06  6630142.
 2011 07  829454.
 2011 08  9829775.
 2011 09  9230814·
 2011 10  5931150·
 2011 11  8531279.
 2011 12  9831124·
 2012 01 1631239.
 2012 02 3331540.
 2012 03 831683·
 2012 04 331548·
 2012 05 2831419.
 2012 06 1830255.
 2012 07 3929883.
 2012 08 830316·
 2012 09 5031416·
 2012 10 7331897.
 2012 11 6631900·
 2012 12 3231827·
 2013 01  3531654·
 2013 02  7831870.
 2013 03  331930·
 2013 04  2031925.
 2013 05  5831529.
 2013 06  4030544.
 2013 07  8630339.
 2013 08  3930736.
 2013 09  1831432.
 2013 10  9031558.
 2013 11  7932020.
 2013 12  8531908·
 2014 01 4131991.
 2014 02 8632172.
 2014 03 7032194.
 2014 04 7732253·
 2014 05 7831700·
 2014 06 1030810·
 2014 07 7230215.
 2014 08 5830530.
 2014 09 431940·
 2014 10 6632280.
 2014 11 2232633·
 2014 12 9832267.
 2015 01  1932462·
 2015 02  8832891·
 2015 03  8432931.
 2015 04  9133195·
 2015 05  4933099.
 2015 06  3231979.
 2015 07  4531102.
 2015 08  5631446·
 2015 09  4532572·
 2015 10  7932969·
 2015 11  1833330·
 2015 12  3733248·
 2016 01 8133569.
 2016 02 3733731·
 2016 03 4233564·
 2016 04 434044·
 2016 05 5733730·
 2016 06 3632516·
 2016 07 7832463·
 2016 08 5032430·
 2016 09 133255·
 2016 10 3433238·
 2016 11 1633113·
 2016 12 9532979·
 2017 01  6033138.
 2017 02  1233991·
 2017 03  6734014·
 2017 04  8334078·
 2017 05  1234184·
 2017 06  7733072·
 2017 07  7032765·
 2017 08  8332388·
 2017 09  5733437.


 2017 10  6033482·
 2017 11  8733787·
 2017 12  8833548·
 2018 01 1934025·
 2018 02 1834941.
 2018 03 734615·
 2018 04 1934513.
 2018 05 5034253·
 2018 06 3333005.
 2018 07 4232516.
 2018 08 2032850.
 2018 09 2433607·
 2018 10 1134197.
 2018 11 3134358.
 2018 12 5834693.
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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: Employed: Wage and salary workers, Education and health services: 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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