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 Series Title: Men, employed government wage and salary workers in Health services, except hospitals: NSA
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 2000 01 84131·
 2000 02 77137.
 2000 03 6137·
 2000 04 76137·
 2000 05 13142·
 2000 06 45109·
 2000 07 4104.
 2000 08 50115.
 2000 09 26103.
 2000 10 30115·
 2000 11 21135·
 2000 12 42130·
 2001 01  75139·
 2001 02  14137.
 2001 03  70148.
 2001 04  95163·
 2001 05  34124·
 2001 06  4108·
 2001 07  90108.
 2001 08  7998·
 2001 09  5113·
 2001 10  30129.
 2001 11  43153·
 2001 12  88170·
 2002 01 13136.
 2002 02 51137.
 2002 03 18121·
 2002 04 40132·
 2002 05 8127·
 2002 06 47112.
 2002 07 26130.
 2002 08 81132·
 2002 09 65154.
 2002 10 25144.
 2002 11 7112.
 2002 12 79131·
 2003 01  84124.
 2003 02  17123.
 2003 03  23124.
 2003 04  29145·
 2003 05  93133·
 2003 06  79133.
 2003 07  61116.
 2003 08  49128.
 2003 09  39131.
 2003 10  93121·
 2003 11  35108·
 2003 12  8493.
 2004 01 075·
 2004 02 6568.
 2004 03 8290.
 2004 04 2105.
 2004 05 7599·
 2004 06 28114.
 2004 07 66101.
 2004 08 99123.
 2004 09 90108.
 2004 10 38126.
 2004 11 75116.
 2004 12 92107·
 2005 01  95112·
 2005 02  7782.
 2005 03  2078.
 2005 04  2780.
 2005 05  6674·
 2005 06  5066·
 2005 07  4166.
 2005 08  72104·
 2005 09  2101.
 2005 10  91111·
 2005 11  0113.
 2005 12  22124·
 2006 01 30140.
 2006 02 54152·
 2006 03 84148.
 2006 04 95110.
 2006 05 064.
 2006 06 2365·
 2006 07 880·
 2006 08 37102.
 2006 09 8695.
 2006 10 479·
 2006 11 875.
 2006 12 1570·
 2007 01  9198·
 2007 02  28107.
 2007 03  48120.
 2007 04  24102.
 2007 05  3869.
 2007 06  5280·
 2007 07  1589.
 2007 08  83110.
 2007 09  78125.
 2007 10  5889·
 2007 11  2287.
 2007 12  3753·
 2008 01 8793·
 2008 02 52108.
 2008 03 8112·
 2008 04 55122.
 2008 05 66110.
 2008 06 66101·
 2008 07 35110·
 2008 08 30121.
 2008 09 38117·
 2008 10 57128.
 2008 11 91133.
 2008 12 81111·
 2009 01  5692.
 2009 02  6113·
 2009 03  8996.
 2009 04  5492.
 2009 05  94115.
 2009 06  20122·
 2009 07  67109.
 2009 08  17135.
 2009 09  52102.
 2009 10  30100.
 2009 11  8787.
 2009 12  64102·
 2010 01 56113.
 2010 02 93134·
 2010 03 38118·
 2010 04 14114.
 2010 05 5799.
 2010 06 92100·
 2010 07 33117.
 2010 08 12130·
 2010 09 30114.
 2010 10 31111·
 2010 11 9111.
 2010 12 26118.
 2011 01  75109.
 2011 02  44113.
 2011 03  29105·
 2011 04  52106·
 2011 05  17109·
 2011 06  87114·
 2011 07  81127·
 2011 08  7133·
 2011 09  8119·
 2011 10  41124.
 2011 11  7895.
 2011 12  3699.
 2012 01 21110·
 2012 02 12133·
 2012 03 59121.
 2012 04 899·
 2012 05 59109·
 2012 06 3492.
 2012 07 85125.
 2012 08 18122.
 2012 09 46137.
 2012 10 62147.
 2012 11 45188·
 2012 12 84174·
 2013 01  32150·
 2013 02  77174·
 2013 03  51153.
 2013 04  51125·
 2013 05  93145·
 2013 06  88113.
 2013 07  42121.
 2013 08  88124·
 2013 09  29108·
 2013 10  24128·
 2013 11  81136.
 2013 12  88118·
 2014 01 67102·
 2014 02 43113·
 2014 03 5490·
 2014 04 72114·
 2014 05 5574.
 2014 06 2776.
 2014 07 7682·
 2014 08 8294·
 2014 09 70133.
 2014 10 82123.
 2014 11 84113·
 2014 12 89101.
 2015 01  12118.
 2015 02  40119.
 2015 03  41123.
 2015 04  8796·
 2015 05  681.
 2015 06  5793·
 2015 07  3579·
 2015 08  9499.
 2015 09  299.
 2015 10  15127·
 2015 11  78152.
 2015 12  55168.
 2016 01 77148.
 2016 02 21147.
 2016 03 9144.
 2016 04 3971.
 2016 05 3087·
 2016 06 6117·
 2016 07 91116.
 2016 08 39101·
 2016 09 87111·
 2016 10 27123·
 2016 11 11122·
 2016 12 76137·
 2017 01  98138.
 2017 02  65128·
 2017 03  82128.
 2017 04  93124.
 2017 05  39120·
 2017 06  28119.


 2017 07  42115·
 2017 08  60112·
 2017 09  10116.
 2017 10  4798·
 2017 11  5594.
 2017 12  7098·
 2018 01 36112·
 2018 02 79120·
 2018 03 7105.
 2018 04 43102·
 2018 05 6894.
 2018 06 4106.
 2018 07 13123·
 2018 08 23132·
 2018 09 81104·
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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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