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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 542898.
 2000 02 952935·
 2000 03 702887·
 2000 04 02811.
 2000 05 312760·
 2000 06 102591.
 2000 07 882583·
 2000 08 432660.
 2000 09 372812.
 2000 10 862874.
 2000 11 692945.
 2000 12 482849·
 2001 01  222824·
 2001 02  52877.
 2001 03  272910.
 2001 04  572969·
 2001 05  622883.
 2001 06  732742·
 2001 07  992742.
 2001 08  422637.
 2001 09  562801.
 2001 10  222891.
 2001 11  482861·
 2001 12  942886·
 2002 01 312839·
 2002 02 92926·
 2002 03 612971·
 2002 04 352968·
 2002 05 372971.
 2002 06 142765.
 2002 07 532685·
 2002 08 72618·
 2002 09 492873·
 2002 10 462877·
 2002 11 612808·
 2002 12 812922.
 2003 01  682914.
 2003 02  352923.
 2003 03  472932.
 2003 04  492962.
 2003 05  182923.
 2003 06  382789·
 2003 07  992649.
 2003 08  322677·
 2003 09  512936.
 2003 10  363028.
 2003 11  312994·
 2003 12  733006.
 2004 01 422884·
 2004 02 372869·
 2004 03 813017·
 2004 04 423066·
 2004 05 912953.
 2004 06 722881·
 2004 07 102664.
 2004 08 332652·
 2004 09 233034.
 2004 10 983136·
 2004 11 83228.
 2004 12 643188·
 2005 01  893128·
 2005 02  962934.
 2005 03  872942·
 2005 04  813013.
 2005 05  652970·
 2005 06  732833.
 2005 07  842765·
 2005 08  512716.
 2005 09  502984.
 2005 10  613142.
 2005 11  643040·
 2005 12  702990·
 2006 01 712917·
 2006 02 162863.
 2006 03 132983·
 2006 04 563112·
 2006 05 773073.
 2006 06 192826·
 2006 07 442793·
 2006 08 542775·
 2006 09 432992·
 2006 10 783030.
 2006 11 963088·
 2006 12 323007·
 2007 01  713113.
 2007 02  253141.
 2007 03  323207.
 2007 04  863244·
 2007 05  863211·
 2007 06  153048·
 2007 07  382907.
 2007 08  333058·
 2007 09  383211.
 2007 10  303094.
 2007 11  293063·
 2007 12  182914·
 2008 01 23039.
 2008 02 783147.
 2008 03 413237·
 2008 04 113296.
 2008 05 793229·
 2008 06 893063·
 2008 07 392919.
 2008 08 53014.
 2008 09 943118·
 2008 10 213329·
 2008 11 93316·
 2008 12 193162·
 2009 01  973195.
 2009 02  543127.
 2009 03  653125.
 2009 04  993179·
 2009 05  653150.
 2009 06  962992·
 2009 07  452814·
 2009 08  122853.
 2009 09  973002·
 2009 10  793203.
 2009 11  113197·
 2009 12  533174.
 2010 01 193196.
 2010 02 583195.
 2010 03 513109·
 2010 04 413247·
 2010 05 813072·
 2010 06 162902·
 2010 07 792875.
 2010 08 202849.
 2010 09 593129.
 2010 10 593091.
 2010 11 323037.
 2010 12 603086.
 2011 01  532969·
 2011 02  193072.
 2011 03  723054.
 2011 04  543087.
 2011 05  873077.
 2011 06  532892.
 2011 07  892827·
 2011 08  222832·
 2011 09  142968·
 2011 10  413123·
 2011 11  953041·
 2011 12  82988·
 2012 01 82934·
 2012 02 912980·
 2012 03 272989·
 2012 04 812939.
 2012 05 692927·
 2012 06 352590.
 2012 07 482650·
 2012 08 342795.
 2012 09 233053.
 2012 10 293189·
 2012 11 483024.
 2012 12 883036.
 2013 01  213065·
 2013 02  543089.
 2013 03  373158.
 2013 04  873024.
 2013 05  372972.
 2013 06  182768·
 2013 07  552668.
 2013 08  992840.
 2013 09  722905.
 2013 10  512958·
 2013 11  642950·
 2013 12  182880.
 2014 01 523030·
 2014 02 123068.
 2014 03 523093.
 2014 04 643146.
 2014 05 262877·
 2014 06 802724·
 2014 07 322760.
 2014 08 822727·
 2014 09 712889·
 2014 10 632859.
 2014 11 422944·
 2014 12 392912·
 2015 01  873045.
 2015 02  933151·
 2015 03  443068·
 2015 04  303212.
 2015 05  983115·
 2015 06  262981.
 2015 07  272776·
 2015 08  752786.
 2015 09  562945·
 2015 10  443035·
 2015 11  43208.
 2015 12  183164.
 2016 01 363127·
 2016 02 533241·
 2016 03 123174.
 2016 04 273246·
 2016 05 383247.
 2016 06 852960.
 2016 07 142900.
 2016 08 962987·
 2016 09 873055·
 2016 10 973106·
 2016 11 983096·
 2016 12 463130.
 2017 01  343127·


 2017 02  713247·
 2017 03  783349·
 2017 04  203310.
 2017 05  553346.
 2017 06  123048.
 2017 07  903020·
 2017 08  872846.
 2017 09  503075·
 2017 10  533044·
 2017 11  982922·
 2017 12  413039.
 2018 01 443106·
 2018 02 503253·
 2018 03 903245·
 2018 04 23269·
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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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