Economagic.com: Economic Time Series Page
 Browse Data Titles  |  Charts  |  Excel  |  Reports  |  Search  |  Maps & Movies  |  Help
 Subscriber Login  |  Subscription Info  |  Turn Advanced Features On  |  Change Defaults

 Series Title: Employed: Wage and salary workers, Health service, except hospitals, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  Reverse this series  |  Data set page
Link to Series in Level 1 Subscription Site
Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
Go to end of data set
 2000 01 661274·
 2000 02 71327.
 2000 03 941296.
 2000 04 851251.
 2000 05 641275·
 2000 06 151288·
 2000 07 271235.
 2000 08 151327.
 2000 09 781306·
 2000 10 721389.
 2000 11 101423.
 2000 12 931454·
 2001 01  591431.
 2001 02  581372.
 2001 03  571359·
 2001 04  651416·
 2001 05  821343.
 2001 06  821297·
 2001 07  61384·
 2001 08  981373·
 2001 09  481434·
 2001 10  731471·
 2001 11  201498.
 2001 12  871466·
 2002 01 811427·
 2002 02 901422·
 2002 03 861408·
 2002 04 521487·
 2002 05 331461·
 2002 06 131390·
 2002 07 171424.
 2002 08 361405·
 2002 09 781515·
 2002 10 501562.
 2002 11 521499.
 2002 12 81539.
 2003 01  181539·
 2003 02  321494.
 2003 03  531479·
 2003 04  631584.
 2003 05  771551·
 2003 06  151529.
 2003 07  71504.
 2003 08  201416.
 2003 09  61488.
 2003 10  811548.
 2003 11  291514·
 2003 12  231437.
 2004 01 801430.
 2004 02 381402·
 2004 03 561495.
 2004 04 411533·
 2004 05 01561·
 2004 06 161620·
 2004 07 501631·
 2004 08 681677.
 2004 09 901602·
 2004 10 721574.
 2004 11 01549.
 2004 12 231518.
 2005 01  31492·
 2005 02  881491·
 2005 03  181523.
 2005 04  511436.
 2005 05  111443·
 2005 06  701558.
 2005 07  431621.
 2005 08  211693·
 2005 09  181612·
 2005 10  501656·
 2005 11  371637·
 2005 12  261701.
 2006 01 461675.
 2006 02 851827.
 2006 03 881773·
 2006 04 861685·
 2006 05 481653·
 2006 06 571571·
 2006 07 91612.
 2006 08 451640·
 2006 09 981669·
 2006 10 711604·
 2006 11 381602·
 2006 12 731576·
 2007 01  971582.
 2007 02  601679·
 2007 03  381701·
 2007 04  631698.
 2007 05  701664·
 2007 06  801673.
 2007 07  971713.
 2007 08  341657.
 2007 09  681663.
 2007 10  141678·
 2007 11  271592.
 2007 12  311725·
 2008 01 651753·
 2008 02 671774.
 2008 03 671742·
 2008 04 221735·
 2008 05 631654.
 2008 06 711660.
 2008 07 791690.
 2008 08 31675·
 2008 09 871700.
 2008 10 821770.
 2008 11 521822.
 2008 12 921828·
 2009 01  861845·
 2009 02  841764·
 2009 03  971709.
 2009 04  321715·
 2009 05  371699.
 2009 06  811714·
 2009 07  541802·
 2009 08  941850·
 2009 09  401862·
 2009 10  61864.
 2009 11  851790.
 2009 12  721778·
 2010 01 211804.
 2010 02 161733.
 2010 03 771755.
 2010 04 841736.
 2010 05 291839·
 2010 06 921854.
 2010 07 451850·
 2010 08 751945·
 2010 09 401823·
 2010 10 401910·
 2010 11 241828.
 2010 12 141830·
 2011 01  541779·
 2011 02  931774·
 2011 03  801857.
 2011 04  951787.
 2011 05  981870.
 2011 06  71853·
 2011 07  991865.
 2011 08  372057·
 2011 09  201945·
 2011 10  631986·
 2011 11  941988·
 2011 12  841911·
 2012 01 971972.
 2012 02 682046.
 2012 03 32107·
 2012 04 62065.
 2012 05 292086·
 2012 06 552097.
 2012 07 902071.
 2012 08 962130.
 2012 09 422074.
 2012 10 792134.
 2012 11 412262·
 2012 12 742234.
 2013 01  852218·
 2013 02  222237.
 2013 03  702106·
 2013 04  842166·
 2013 05  352155.
 2013 06  912068·
 2013 07  152147.
 2013 08  952116·
 2013 09  912070.
 2013 10  172009.
 2013 11  392040·
 2013 12  12009·
 2014 01 791962·
 2014 02 581902.
 2014 03 291927·
 2014 04 211904·
 2014 05 501969.
 2014 06 941965·
 2014 07 981954.
 2014 08 01962.
 2014 09 782052·
 2014 10 322140.
 2014 11 852105·
 2014 12 62039.
 2015 01  641962·
 2015 02  51950.
 2015 03  521886·
 2015 04  341928.
 2015 05  341893·
 2015 06  682033·
 2015 07  882097.
 2015 08  32061.
 2015 09  382136.
 2015 10  42192.
 2015 11  42130·
 2015 12  572198·
 2016 01 512201.
 2016 02 182090.
 2016 03 392018.
 2016 04 651900·
 2016 05 741968·
 2016 06 432093.
 2016 07 562162·
 2016 08 212112·
 2016 09 312036·
 2016 10 362019·
 2016 11 422076.
 2016 12 452168·
 2017 01  752156.
 2017 02  772200.
 2017 03  112163.
 2017 04  802189·


 2017 05  792039·
 2017 06  741993.
 2017 07  12043.
 2017 08  962014·
 2017 09  452044·
 2017 10  571997.
 2017 11  742079.
 2017 12  872081.
 2018 01 972156.
 2018 02 852226·
 2018 03 182134.
 2018 04 722122·
 2018 05 862029·
 2018 06 382022.
 2018 07 462081·
Economagic: Year Chart
Economagic: Economic Chart Dispenser

Click on chart to change display options.


Similar Series

Skip to Data / More Chart Options

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, Health service, except hospitals, Men: 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

Economagic has unemployment data for every county?
Click here for every Georgia county and then find your own.

Sites of Interest: GGG Marketing SEO Experts * homes for sale - pelican marsh * Invokana Attorneys * The Wall Street Examiner: Be prepared. Stay ahead of the herd

 Subscriber Login  |  Subscription Info  |  Turn Advanced Features On  |  Change Defaults  |  Disclaimer
 Browse Data Titles  |  Charts  |  Excel  |  Reports  |  Search  |  Maps & Movies  |  Help  |  About  |  Contact Us
 Economagic.com: Economic Time Series Page
Sitemap