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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 84131·
 2000 02 2137.
 2000 03 93137·
 2000 04 70137.
 2000 05 75142.
 2000 06 49109·
 2000 07 34104.
 2000 08 4115.
 2000 09 14103.
 2000 10 75115·
 2000 11 57135·
 2000 12 18130·
 2001 01  50139.
 2001 02  62137.
 2001 03  76148·
 2001 04  56163·
 2001 05  60124.
 2001 06  18108·
 2001 07  27108.
 2001 08  8798·
 2001 09  44113.
 2001 10  73129·
 2001 11  74153.
 2001 12  5170·
 2002 01 27136.
 2002 02 84137·
 2002 03 5121.
 2002 04 30132.
 2002 05 59127.
 2002 06 33112·
 2002 07 33130·
 2002 08 5132.
 2002 09 16154·
 2002 10 27144.
 2002 11 95112.
 2002 12 0131.
 2003 01  99124.
 2003 02  97123·
 2003 03  54124.
 2003 04  9145.
 2003 05  32133·
 2003 06  0133·
 2003 07  99116.
 2003 08  52128.
 2003 09  67131.
 2003 10  17121·
 2003 11  42108·
 2003 12  7193·
 2004 01 7875·
 2004 02 5668·
 2004 03 2190.
 2004 04 36105·
 2004 05 6599.
 2004 06 47114.
 2004 07 99101.
 2004 08 42123·
 2004 09 55108·
 2004 10 48126·
 2004 11 64116·
 2004 12 8107·
 2005 01  98112.
 2005 02  3982.
 2005 03  2878.
 2005 04  7880.
 2005 05  6974·
 2005 06  2966·
 2005 07  3066.
 2005 08  20104.
 2005 09  68101.
 2005 10  48111.
 2005 11  33113.
 2005 12  29124.
 2006 01 21140·
 2006 02 52152.
 2006 03 24148·
 2006 04 25110·
 2006 05 7964·
 2006 06 2565·
 2006 07 1780.
 2006 08 50102.
 2006 09 1595.
 2006 10 7179.
 2006 11 4875·
 2006 12 7670·
 2007 01  3298·
 2007 02  24107.
 2007 03  82120.
 2007 04  94102.
 2007 05  5569·
 2007 06  3880·
 2007 07  589·
 2007 08  26110·
 2007 09  33125·
 2007 10  9889.
 2007 11  3287.
 2007 12  1453.
 2008 01 4293·
 2008 02 8108·
 2008 03 99112·
 2008 04 29122·
 2008 05 83110.
 2008 06 0101.
 2008 07 70110.
 2008 08 63121·
 2008 09 81117·
 2008 10 31128·
 2008 11 32133·
 2008 12 37111·
 2009 01  8692·
 2009 02  84113·
 2009 03  9996.
 2009 04  9492·
 2009 05  74115·
 2009 06  63122·
 2009 07  8109.
 2009 08  4135.
 2009 09  45102.
 2009 10  2100.
 2009 11  2387.
 2009 12  61102.
 2010 01 25113·
 2010 02 56134.
 2010 03 30118.
 2010 04 83114·
 2010 05 6399.
 2010 06 8100.
 2010 07 44117·
 2010 08 16130·
 2010 09 36114.
 2010 10 63111.
 2010 11 1111.
 2010 12 27118·
 2011 01  44109·
 2011 02  54113.
 2011 03  65105·
 2011 04  12106.
 2011 05  11109.
 2011 06  38114.
 2011 07  24127·
 2011 08  89133·
 2011 09  90119.
 2011 10  95124.
 2011 11  9095.
 2011 12  399.
 2012 01 54110.
 2012 02 32133.
 2012 03 2121.
 2012 04 2299.
 2012 05 4109·
 2012 06 8292.
 2012 07 22125·
 2012 08 42122.
 2012 09 66137·
 2012 10 1147·
 2012 11 38188·
 2012 12 80174·
 2013 01  90150·
 2013 02  70174.
 2013 03  64153·
 2013 04  81125.
 2013 05  51145.
 2013 06  96113·
 2013 07  36121·
 2013 08  15124·
 2013 09  50108.
 2013 10  11128.
 2013 11  19136.
 2013 12  75118·
 2014 01 13102·
 2014 02 71113·
 2014 03 9990.
 2014 04 81114·
 2014 05 8974·
 2014 06 5876.
 2014 07 8982.
 2014 08 7694.
 2014 09 54133.
 2014 10 79123·
 2014 11 29113.
 2014 12 30101.
 2015 01  8118·
 2015 02  65119.
 2015 03  80123.
 2015 04  3796·
 2015 05  7781·
 2015 06  7293.
 2015 07  3079.
 2015 08  1699·
 2015 09  1199.
 2015 10  84127.
 2015 11  92152.
 2015 12  12168·
 2016 01 86148·
 2016 02 6147·
 2016 03 5144·
 2016 04 9271·
 2016 05 287·
 2016 06 69117·
 2016 07 30116·
 2016 08 53101.
 2016 09 84111·
 2016 10 31123·
 2016 11 57122·
 2016 12 12137·
 2017 01  83138·


 2017 02  73128.
 2017 03  97128.
 2017 04  13124.
 2017 05  74120.
 2017 06  2119·
 2017 07  89115·
 2017 08  27112·
 2017 09  58116.
 2017 10  4998.
 2017 11  9594·
 2017 12  4798.
 2018 01 59112·
 2018 02 71120·
 2018 03 4105·
 2018 04 92102·
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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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