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 Series Title: Men, employed government wage and salary workers in 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 802898.
 2000 02 602935.
 2000 03 912887.
 2000 04 692811·
 2000 05 162760.
 2000 06 532591.
 2000 07 52583.
 2000 08 282660·
 2000 09 562812.
 2000 10 822874.
 2000 11 582945·
 2000 12 222849·
 2001 01  502824·
 2001 02  282877·
 2001 03  622910.
 2001 04  972969.
 2001 05  732883.
 2001 06  992742·
 2001 07  552742.
 2001 08  222637.
 2001 09  272801.
 2001 10  262891·
 2001 11  12861.
 2001 12  902886.
 2002 01 362839.
 2002 02 652926·
 2002 03 862971·
 2002 04 212968.
 2002 05 512971.
 2002 06 982765.
 2002 07 242685.
 2002 08 582618.
 2002 09 472873·
 2002 10 322877·
 2002 11 532808.
 2002 12 722922.
 2003 01  242914·
 2003 02  992923.
 2003 03  362932·
 2003 04  562962.
 2003 05  92923·
 2003 06  552789.
 2003 07  602649·
 2003 08  292677.
 2003 09  512936.
 2003 10  813028.
 2003 11  392994·
 2003 12  353006.
 2004 01 262884.
 2004 02 852869.
 2004 03 103017·
 2004 04 443066·
 2004 05 332953·
 2004 06 982881.
 2004 07 362664·
 2004 08 502652·
 2004 09 03034·
 2004 10 763136.
 2004 11 53228.
 2004 12 723188·
 2005 01  753128·
 2005 02  22934.
 2005 03  302942.
 2005 04  533013·
 2005 05  352970.
 2005 06  822833·
 2005 07  492765.
 2005 08  642716·
 2005 09  792984·
 2005 10  473142·
 2005 11  253040·
 2005 12  982990.
 2006 01 332917.
 2006 02 552863.
 2006 03 452983.
 2006 04 753112·
 2006 05 483073.
 2006 06 862826.
 2006 07 232793·
 2006 08 372775.
 2006 09 992992.
 2006 10 483030.
 2006 11 973088.
 2006 12 563007·
 2007 01  863113·
 2007 02  723141.
 2007 03  293207·
 2007 04  253244·
 2007 05  343211.
 2007 06  153048·
 2007 07  72907.
 2007 08  623058·
 2007 09  953211·
 2007 10  583094·
 2007 11  443063.
 2007 12  132914·
 2008 01 433039·
 2008 02 83147·
 2008 03 783237·
 2008 04 463296.
 2008 05 793229.
 2008 06 973063·
 2008 07 722919.
 2008 08 553014.
 2008 09 283118.
 2008 10 813329·
 2008 11 143316.
 2008 12 603162·
 2009 01  413195.
 2009 02  433127·
 2009 03  163125.
 2009 04  43179.
 2009 05  933150·
 2009 06  882992.
 2009 07  172814.
 2009 08  572853·
 2009 09  843002·
 2009 10  483203.
 2009 11  803197.
 2009 12  143174·
 2010 01 403196·
 2010 02 803195·
 2010 03 923109.
 2010 04 923247·
 2010 05 113072·
 2010 06 662902·
 2010 07 662875.
 2010 08 372849·
 2010 09 723129.
 2010 10 123091·
 2010 11 403037.
 2010 12 173086.
 2011 01  252969.
 2011 02  493072·
 2011 03  773054.
 2011 04  263087·
 2011 05  943077·
 2011 06  352892.
 2011 07  652827.
 2011 08  842832.
 2011 09  292968·
 2011 10  523123·
 2011 11  173041·
 2011 12  352988·
 2012 01 72934.
 2012 02 52980.
 2012 03 712989.
 2012 04 482939.
 2012 05 272927.
 2012 06 262590.
 2012 07 892650.
 2012 08 172795.
 2012 09 163053·
 2012 10 723189·
 2012 11 603024·
 2012 12 623036·
 2013 01  223065.
 2013 02  253089·
 2013 03  963158.
 2013 04  253024·
 2013 05  222972·
 2013 06  922768·
 2013 07  352668.
 2013 08  772840·
 2013 09  162905.
 2013 10  32958.
 2013 11  412950·
 2013 12  122880·
 2014 01 303030·
 2014 02 163068.
 2014 03 03093.
 2014 04 483146.
 2014 05 142877·
 2014 06 122724.
 2014 07 272760·
 2014 08 312727.
 2014 09 422889.
 2014 10 982859.
 2014 11 582944.
 2014 12 292912.
 2015 01  173045.
 2015 02  63151.
 2015 03  573068.
 2015 04  353212·
 2015 05  623115·
 2015 06  922981·
 2015 07  112776.
 2015 08  702786.
 2015 09  292945.
 2015 10  373035.
 2015 11  343208·
 2015 12  783164.
 2016 01 933127·
 2016 02 493241.
 2016 03 643174.
 2016 04 273246.
 2016 05 543247.
 2016 06 592960.
 2016 07 632900·
 2016 08 122987·
 2016 09 373055.
 2016 10 243106.
 2016 11 183096·
 2016 12 523130·
 2017 01  933127.
 2017 02  253247·
 2017 03  443349.
 2017 04  913310.
 2017 05  983346·
 2017 06  693048·
 2017 07  783020·
 2017 08  982846.
 2017 09  523075.


 2017 10  883044.
 2017 11  832922.
 2017 12  683039·
 2018 01 803106·
 2018 02 383253·
 2018 03 463245.
 2018 04 193269.
 2018 05 323154.
 2018 06 12911.
 2018 07 812820·
 2018 08 952921.
 2018 09 842941·
 2018 10 833064.
 2018 11 263006·
 2018 12 672905.
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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: Men, employed government wage and salary workers in 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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