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 Series Title: Men, employed government wage and salary workers in Health services, except hospitals: 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 88131.
 2000 02 40137·
 2000 03 8137·
 2000 04 40137·
 2000 05 6142·
 2000 06 77109.
 2000 07 30104.
 2000 08 68115·
 2000 09 77103.
 2000 10 1115.
 2000 11 40135·
 2000 12 82130.
 2001 01  53139.
 2001 02  92137·
 2001 03  51148·
 2001 04  27163.
 2001 05  9124.
 2001 06  57108·
 2001 07  1108·
 2001 08  7198·
 2001 09  45113.
 2001 10  28129.
 2001 11  54153.
 2001 12  8170·
 2002 01 86136·
 2002 02 62137.
 2002 03 96121.
 2002 04 59132·
 2002 05 83127·
 2002 06 40112·
 2002 07 41130·
 2002 08 66132·
 2002 09 11154·
 2002 10 68144.
 2002 11 27112.
 2002 12 99131.
 2003 01  71124.
 2003 02  80123·
 2003 03  17124·
 2003 04  52145.
 2003 05  87133.
 2003 06  30133.
 2003 07  98116.
 2003 08  45128.
 2003 09  11131·
 2003 10  1121.
 2003 11  84108.
 2003 12  2193.
 2004 01 1875·
 2004 02 9968.
 2004 03 1190·
 2004 04 50105.
 2004 05 899.
 2004 06 57114.
 2004 07 45101·
 2004 08 25123.
 2004 09 6108.
 2004 10 30126.
 2004 11 71116·
 2004 12 66107·
 2005 01  63112.
 2005 02  082.
 2005 03  378·
 2005 04  1780·
 2005 05  5574·
 2005 06  7466·
 2005 07  7966.
 2005 08  47104·
 2005 09  81101.
 2005 10  84111·
 2005 11  62113·
 2005 12  51124.
 2006 01 68140·
 2006 02 86152.
 2006 03 39148·
 2006 04 47110.
 2006 05 6464.
 2006 06 6265·
 2006 07 2580.
 2006 08 79102.
 2006 09 4795·
 2006 10 1879·
 2006 11 5575.
 2006 12 1870·
 2007 01  1698.
 2007 02  87107.
 2007 03  94120.
 2007 04  56102·
 2007 05  9769·
 2007 06  2480·
 2007 07  2989·
 2007 08  13110.
 2007 09  40125·
 2007 10  1289·
 2007 11  7387·
 2007 12  3353·
 2008 01 2093.
 2008 02 57108.
 2008 03 64112·
 2008 04 85122.
 2008 05 38110.
 2008 06 90101·
 2008 07 65110·
 2008 08 64121.
 2008 09 19117·
 2008 10 69128·
 2008 11 64133·
 2008 12 88111.
 2009 01  1392.
 2009 02  75113·
 2009 03  7496·
 2009 04  292·
 2009 05  97115.
 2009 06  14122.
 2009 07  32109·
 2009 08  75135·
 2009 09  70102·
 2009 10  19100·
 2009 11  187·
 2009 12  1102·
 2010 01 58113.
 2010 02 46134·
 2010 03 70118.
 2010 04 99114·
 2010 05 1199·
 2010 06 76100.
 2010 07 51117.
 2010 08 13130·
 2010 09 5114.
 2010 10 16111·
 2010 11 83111·
 2010 12 13118·
 2011 01  40109.
 2011 02  99113.
 2011 03  27105·
 2011 04  92106.
 2011 05  41109.
 2011 06  79114·
 2011 07  72127.
 2011 08  69133.
 2011 09  58119·
 2011 10  40124·
 2011 11  3195·
 2011 12  9099.
 2012 01 68110·
 2012 02 88133·
 2012 03 42121.
 2012 04 2299.
 2012 05 70109.
 2012 06 5392·
 2012 07 67125.
 2012 08 61122·
 2012 09 91137·
 2012 10 94147·
 2012 11 95188·
 2012 12 25174.
 2013 01  79150.
 2013 02  92174.
 2013 03  38153·
 2013 04  58125.
 2013 05  11145.
 2013 06  53113·
 2013 07  34121·
 2013 08  29124·
 2013 09  87108.
 2013 10  9128·
 2013 11  47136.
 2013 12  34118·
 2014 01 33102·
 2014 02 16113.
 2014 03 6390·
 2014 04 90114.
 2014 05 9974·
 2014 06 5776.
 2014 07 9782.
 2014 08 4294.
 2014 09 59133.
 2014 10 38123·
 2014 11 85113·
 2014 12 59101·
 2015 01  16118·
 2015 02  90119·
 2015 03  91123·
 2015 04  3596.
 2015 05  9381·
 2015 06  7093.
 2015 07  279·
 2015 08  9099·
 2015 09  4299·
 2015 10  60127.
 2015 11  33152·
 2015 12  67168·
 2016 01 38148.
 2016 02 66147.
 2016 03 19144.
 2016 04 3671·
 2016 05 8187·
 2016 06 21117·
 2016 07 25116·
 2016 08 90101·
 2016 09 96111.
 2016 10 80123·
 2016 11 38122.
 2016 12 49137.
 2017 01  35138·
 2017 02  26128.
 2017 03  70128·
 2017 04  58124.


 2017 05  72120·
 2017 06  65119·
 2017 07  61115·
 2017 08  85112·
 2017 09  7116.
 2017 10  2898.
 2017 11  7394.
 2017 12  2498.
 2018 01 67112.
 2018 02 72120.
 2018 03 93105·
 2018 04 94102·
 2018 05 194·
 2018 06 80106·
 2018 07 35123.
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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 Health services, except hospitals: 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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