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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 942898.
 2000 02 792935·
 2000 03 512887·
 2000 04 502811.
 2000 05 402760.
 2000 06 872591.
 2000 07 602583.
 2000 08 572660·
 2000 09 582812.
 2000 10 992874·
 2000 11 762945·
 2000 12 702849·
 2001 01  02824·
 2001 02  982877.
 2001 03  122910·
 2001 04  322969.
 2001 05  402883.
 2001 06  902742·
 2001 07  62742.
 2001 08  112637.
 2001 09  792801.
 2001 10  62891.
 2001 11  212861·
 2001 12  42886·
 2002 01 412839.
 2002 02 42926·
 2002 03 442971·
 2002 04 272968.
 2002 05 792971.
 2002 06 642765.
 2002 07 902685·
 2002 08 262618·
 2002 09 662873·
 2002 10 952877·
 2002 11 942808·
 2002 12 702922.
 2003 01  42914·
 2003 02  262923.
 2003 03  212932·
 2003 04  532962.
 2003 05  172923.
 2003 06  152789.
 2003 07  592649·
 2003 08  942677·
 2003 09  572936.
 2003 10  443028.
 2003 11  192994.
 2003 12  373006.
 2004 01 982884.
 2004 02 192869·
 2004 03 413017.
 2004 04 523066.
 2004 05 412953·
 2004 06 712881·
 2004 07 862664.
 2004 08 322652·
 2004 09 113034·
 2004 10 583136·
 2004 11 443228.
 2004 12 963188·
 2005 01  593128.
 2005 02  612934·
 2005 03  262942·
 2005 04  893013·
 2005 05  592970.
 2005 06  872833.
 2005 07  702765.
 2005 08  812716·
 2005 09  142984·
 2005 10  673142·
 2005 11  413040·
 2005 12  642990·
 2006 01 472917.
 2006 02 582863.
 2006 03 242983·
 2006 04 583112.
 2006 05 93073·
 2006 06 422826.
 2006 07 342793.
 2006 08 82775.
 2006 09 762992.
 2006 10 253030.
 2006 11 83088.
 2006 12 823007.
 2007 01  483113·
 2007 02  383141·
 2007 03  103207.
 2007 04  743244·
 2007 05  513211·
 2007 06  403048.
 2007 07  262907.
 2007 08  53058.
 2007 09  343211.
 2007 10  103094·
 2007 11  703063·
 2007 12  172914·
 2008 01 733039·
 2008 02 563147.
 2008 03 803237.
 2008 04 803296·
 2008 05 693229·
 2008 06 103063·
 2008 07 182919.
 2008 08 893014·
 2008 09 473118.
 2008 10 283329·
 2008 11 733316.
 2008 12 613162·
 2009 01  583195·
 2009 02  923127.
 2009 03  583125·
 2009 04  423179·
 2009 05  763150·
 2009 06  72992.
 2009 07  92814.
 2009 08  12853.
 2009 09  23002·
 2009 10  73203.
 2009 11  913197·
 2009 12  313174.
 2010 01 613196.
 2010 02 483195.
 2010 03 913109.
 2010 04 533247·
 2010 05 53072.
 2010 06 112902·
 2010 07 222875.
 2010 08 92849.
 2010 09 83129·
 2010 10 33091.
 2010 11 223037.
 2010 12 693086·
 2011 01  712969.
 2011 02  553072.
 2011 03  543054.
 2011 04  283087·
 2011 05  183077·
 2011 06  252892.
 2011 07  52827·
 2011 08  42832.
 2011 09  22968·
 2011 10  933123·
 2011 11  893041.
 2011 12  412988.
 2012 01 962934·
 2012 02 672980·
 2012 03 442989·
 2012 04 102939·
 2012 05 12927·
 2012 06 782590·
 2012 07 312650.
 2012 08 32795·
 2012 09 433053·
 2012 10 833189·
 2012 11 403024.
 2012 12 403036.
 2013 01  723065.
 2013 02  643089·
 2013 03  833158.
 2013 04  653024·
 2013 05  632972.
 2013 06  262768.
 2013 07  982668.
 2013 08  482840·
 2013 09  182905.
 2013 10  22958·
 2013 11  482950.
 2013 12  822880.
 2014 01 603030·
 2014 02 493068.
 2014 03 213093·
 2014 04 863146·
 2014 05 412877·
 2014 06 472724·
 2014 07 292760·
 2014 08 52727.
 2014 09 362889.
 2014 10 42859.
 2014 11 112944.
 2014 12 82912·
 2015 01  463045·
 2015 02  513151·
 2015 03  293068·
 2015 04  893212·
 2015 05  953115.
 2015 06  462981.
 2015 07  722776·
 2015 08  672786·
 2015 09  342945.
 2015 10  683035·
 2015 11  523208.
 2015 12  863164.
 2016 01 393127.
 2016 02 263241.
 2016 03 73174·
 2016 04 163246·
 2016 05 103247.
 2016 06 512960.
 2016 07 02900.
 2016 08 502987.
 2016 09 733055.
 2016 10 993106·
 2016 11 193096·
 2016 12 73130.
 2017 01  773127.
 2017 02  533247·
 2017 03  773349.
 2017 04  333310.
 2017 05  983346·
 2017 06  183048.


 2017 07  113020.
 2017 08  962846.
 2017 09  363075.
 2017 10  263044·
 2017 11  862922·
 2017 12  893039·
 2018 01 183106·
 2018 02 353253·
 2018 03 873245.
 2018 04 333269.
 2018 05 933154·
 2018 06 252911.
 2018 07 292820·
 2018 08 712921.
 2018 09 362941.
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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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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