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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  |  Excel file  |  Self-updating Excel file
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 2012 04 9199·
 2012 03 3121.
 2012 02 16133.
 2012 01 91110.
 2011 12  999·
 2011 11  5695.
 2011 10  19124·
 2011 09  16119.
 2011 08  43133.
 2011 07  58127·
 2011 06  73114·
 2011 05  90109·
 2011 04  45106.
 2011 03  90105.
 2011 02  91113.
 2011 01  56109·
 2010 12 88118.
 2010 11 58111·
 2010 10 10111.
 2010 09 85114·
 2010 08 74130.
 2010 07 95117.
 2010 06 94100·
 2010 05 6999.
 2010 04 28114.
 2010 03 57118.
 2010 02 30134.
 2010 01 29113·
 2009 12  0102·
 2009 11  2687.
 2009 10  32100.
 2009 09  8102.
 2009 08  66135.
 2009 07  8109·
 2009 06  37122.
 2009 05  76115·
 2009 04  2592.
 2009 03  3596.
 2009 02  8113·
 2009 01  2692.
 2008 12 5111.
 2008 11 63133·
 2008 10 33128·
 2008 09 79117·
 2008 08 54121.
 2008 07 75110·
 2008 06 25101.
 2008 05 77110.
 2008 04 48122.
 2008 03 77112.
 2008 02 22108·
 2008 01 9093·
 2007 12  8853·
 2007 11  087·
 2007 10  8689·
 2007 09  12125.
 2007 08  99110.
 2007 07  189.
 2007 06  680·
 2007 05  6369.
 2007 04  32102·
 2007 03  63120·
 2007 02  95107·
 2007 01  8698.
 2006 12 6170·
 2006 11 9075·
 2006 10 9079·
 2006 09 5195·
 2006 08 88102.
 2006 07 1680.
 2006 06 5465·
 2006 05 5264.
 2006 04 37110.
 2006 03 96148·
 2006 02 76152·
 2006 01 7140·
 2005 12  59124·
 2005 11  13113·
 2005 10  67111·
 2005 09  62101·
 2005 08  29104.
 2005 07  7366·
 2005 06  6766.
 2005 05  8574·
 2005 04  4880·
 2005 03  778·
 2005 02  3782·
 2005 01  70112.
 2004 12 42107·
 2004 11 73116·
 2004 10 66126.
 2004 09 36108·
 2004 08 60123.
 2004 07 51101.
 2004 06 67114·
 2004 05 2899·
 2004 04 77105.
 2004 03 4990·
 2004 02 7768.
 2004 01 1575·
 2003 12  9693·
 2003 11  99108.
 2003 10  59121.
 2003 09  91131·
 2003 08  39128.
 2003 07  56116·
 2003 06  2133·
 2003 05  75133.
 2003 04  59145·
 2003 03  3124·
 2003 02  18123·
 2003 01  11124·
 2002 12 31131·
 2002 11 45112.
 2002 10 45144.
 2002 09 69154.
 2002 08 54132.
 2002 07 16130.
 2002 06 46112.
 2002 05 42127·
 2002 04 55132.
 2002 03 71121·
 2002 02 9137.
 2002 01 49136.
 2001 12  83170·
 2001 11  92153.
 2001 10  47129·
 2001 09  35113.
 2001 08  1498.
 2001 07  86108.
 2001 06  97108·
 2001 05  69124·
 2001 04  49163·
 2001 03  84148.
 2001 02  22137·
 2001 01  45139·
 2000 12 13130.
 2000 11 43135.
 2000 10 12115.
 2000 09 83103·
 2000 08 56115.
 2000 07 44104·
 2000 06 77109·
 2000 05 25142·
 2000 04 53137·
 2000 03 95137·
 2000 02 57137.
 2000 01 42131.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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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