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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 72898.
 2000 02 862935.
 2000 03 562887·
 2000 04 692811.
 2000 05 22760.
 2000 06 332591·
 2000 07 452583·
 2000 08 472660.
 2000 09 322812.
 2000 10 482874.
 2000 11 32945·
 2000 12 932849·
 2001 01  472824·
 2001 02  112877.
 2001 03  442910.
 2001 04  502969.
 2001 05  232883.
 2001 06  292742.
 2001 07  62742·
 2001 08  882637·
 2001 09  602801·
 2001 10  352891·
 2001 11  502861.
 2001 12  02886.
 2002 01 842839.
 2002 02 842926.
 2002 03 662971·
 2002 04 72968·
 2002 05 452971·
 2002 06 592765·
 2002 07 662685.
 2002 08 522618.
 2002 09 192873·
 2002 10 662877·
 2002 11 882808·
 2002 12 42922.
 2003 01  52914·
 2003 02  372923.
 2003 03  952932.
 2003 04  572962·
 2003 05  302923.
 2003 06  282789·
 2003 07  752649.
 2003 08  312677·
 2003 09  432936·
 2003 10  213028.
 2003 11  402994·
 2003 12  703006.
 2004 01 202884·
 2004 02 222869.
 2004 03 293017.
 2004 04 423066·
 2004 05 612953.
 2004 06 642881·
 2004 07 52664.
 2004 08 422652.
 2004 09 933034·
 2004 10 33136·
 2004 11 543228.
 2004 12 903188.
 2005 01  643128·
 2005 02  202934·
 2005 03  912942·
 2005 04  293013.
 2005 05  512970·
 2005 06  222833·
 2005 07  532765·
 2005 08  282716·
 2005 09  542984·
 2005 10  423142.
 2005 11  43040·
 2005 12  822990.
 2006 01 982917·
 2006 02 352863·
 2006 03 302983.
 2006 04 93112.
 2006 05 343073·
 2006 06 822826·
 2006 07 452793.
 2006 08 542775·
 2006 09 382992·
 2006 10 923030.
 2006 11 863088·
 2006 12 863007·
 2007 01  83113·
 2007 02  953141.
 2007 03  173207·
 2007 04  993244·
 2007 05  723211.
 2007 06  483048.
 2007 07  262907·
 2007 08  133058·
 2007 09  793211·
 2007 10  333094·
 2007 11  253063.
 2007 12  702914.
 2008 01 43039.
 2008 02 563147.
 2008 03 523237.
 2008 04 413296·
 2008 05 493229.
 2008 06 493063·
 2008 07 702919·
 2008 08 203014.
 2008 09 383118·
 2008 10 683329·
 2008 11 683316.
 2008 12 263162.
 2009 01  223195.
 2009 02  963127.
 2009 03  573125.
 2009 04  33179·
 2009 05  763150.
 2009 06  392992·
 2009 07  762814·
 2009 08  192853·
 2009 09  13002·
 2009 10  283203.
 2009 11  883197·
 2009 12  703174·
 2010 01 213196·
 2010 02 213195.
 2010 03 803109·
 2010 04 743247.
 2010 05 893072.
 2010 06 982902.
 2010 07 662875·
 2010 08 762849·
 2010 09 783129.
 2010 10 663091·
 2010 11 843037.
 2010 12 453086·
 2011 01  892969·
 2011 02  583072·
 2011 03  953054.
 2011 04  743087.
 2011 05  483077.
 2011 06  292892·
 2011 07  892827·
 2011 08  832832.
 2011 09  52968.
 2011 10  623123.
 2011 11  783041·
 2011 12  162988·
 2012 01 352934·
 2012 02 632980.
 2012 03 992989·
 2012 04 422939.
 2012 05 392927.
 2012 06 632590.
 2012 07 172650.
 2012 08 562795·
 2012 09 423053.
 2012 10 203189.
 2012 11 183024.
 2012 12 763036.
 2013 01  953065.
 2013 02  143089·
 2013 03  163158.
 2013 04  473024.
 2013 05  722972.
 2013 06  542768.
 2013 07  482668.
 2013 08  372840·
 2013 09  752905.
 2013 10  692958·
 2013 11  782950.
 2013 12  412880·
 2014 01 293030·
 2014 02 173068.
 2014 03 933093.
 2014 04 793146.
 2014 05 832877·
 2014 06 802724.
 2014 07 62760·
 2014 08 942727·
 2014 09 152889.
 2014 10 642859.
 2014 11 562944.
 2014 12 542912.
 2015 01  233045.
 2015 02  03151·
 2015 03  43068.
 2015 04  563212.
 2015 05  333115.
 2015 06  462981·
 2015 07  392776·
 2015 08  172786.
 2015 09  962945·
 2015 10  833035·
 2015 11  743208·
 2015 12  823164·
 2016 01 873127·
 2016 02 183241·
 2016 03 463174.
 2016 04 193246.
 2016 05 73247.
 2016 06 822960.
 2016 07 192900·
 2016 08 242987·
 2016 09 803055.
 2016 10 323106.
 2016 11 813096·
 2016 12 153130.
 2017 01  583127.
 2017 02  503247.
 2017 03  443349.
 2017 04  363310·


 2017 05  153346·
 2017 06  413048·
 2017 07  453020·
 2017 08  562846.
 2017 09  523075·
 2017 10  393044·
 2017 11  492922·
 2017 12  703039·
 2018 01 953106.
 2018 02 993253.
 2018 03 433245·
 2018 04 973269.
 2018 05 933154.
 2018 06 42911·
 2018 07 402820.
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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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