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 Series Title: Total employed government wage and salary workers in Hospitals: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 96783.
 2012 03 77792·
 2012 02 77814.
 2012 01 62805.
 2011 12  20814.
 2011 11  44879.
 2011 10  27839·
 2011 09  92887·
 2011 08  42832.
 2011 07  41762·
 2011 06  9792.
 2011 05  51755·
 2011 04  13783·
 2011 03  50756·
 2011 02  36786·
 2011 01  85779·
 2010 12 6744·
 2010 11 76822.
 2010 10 46804·
 2010 09 62801.
 2010 08 23794.
 2010 07 53843.
 2010 06 2813.
 2010 05 77819·
 2010 04 90764·
 2010 03 35680.
 2010 02 91721.
 2010 01 48812·
 2009 12  56849·
 2009 11  5923.
 2009 10  27877·
 2009 09  19854.
 2009 08  96838.
 2009 07  70862.
 2009 06  48828.
 2009 05  60776.
 2009 04  13776·
 2009 03  61713·
 2009 02  16758.
 2009 01  66821.
 2008 12 30805·
 2008 11 35860.
 2008 10 19917.
 2008 09 54847.
 2008 08 98860.
 2008 07 74821.
 2008 06 71739.
 2008 05 69723.
 2008 04 92755·
 2008 03 83730.
 2008 02 9785·
 2008 01 81754·
 2007 12  13803·
 2007 11  96815·
 2007 10  95831·
 2007 09  83804.
 2007 08  87822·
 2007 07  68774·
 2007 06  18745·
 2007 05  95738·
 2007 04  63783.
 2007 03  80788.
 2007 02  92779·
 2007 01  60752·
 2006 12 18774.
 2006 11 41748.
 2006 10 52706·
 2006 09 49687·
 2006 08 51689.
 2006 07 81728·
 2006 06 64767.
 2006 05 54804.
 2006 04 87805·
 2006 03 56721.
 2006 02 13694.
 2006 01 96758.
 2005 12  78746.
 2005 11  50718.
 2005 10  14702·
 2005 09  18718·
 2005 08  99723·
 2005 07  67784.
 2005 06  4768.
 2005 05  89783.
 2005 04  49763·
 2005 03  41746.
 2005 02  47759.
 2005 01  4749.
 2004 12 55775·
 2004 11 27757.
 2004 10 29713.
 2004 09 81725.
 2004 08 67725.
 2004 07 7771·
 2004 06 64732.
 2004 05 66770.
 2004 04 60753.
 2004 03 88729·
 2004 02 90750·
 2004 01 26711·
 2003 12  34686.
 2003 11  2666.
 2003 10  69674.
 2003 09  57650·
 2003 08  16635·
 2003 07  4649.
 2003 06  90641·
 2003 05  77628·
 2003 04  55635·
 2003 03  78643·
 2003 02  66657.
 2003 01  30687·
 2002 12 26686·
 2002 11 28669·
 2002 10 34645.
 2002 09 86672·
 2002 08 31701·
 2002 07 88684·
 2002 06 57662·
 2002 05 39627·
 2002 04 94620.
 2002 03 14646.
 2002 02 23658·
 2002 01 7650.
 2001 12  66684·
 2001 11  86679·
 2001 10  45663.
 2001 09  36692.
 2001 08  23698.
 2001 07  13664.
 2001 06  61664.
 2001 05  93599.
 2001 04  64667·
 2001 03  25713.
 2001 02  33724.
 2001 01  74674.
 2000 12 15656·
 2000 11 79655·
 2000 10 51698.
 2000 09 98738·
 2000 08 27718.
 2000 07 58747·
 2000 06 26747·
 2000 05 8718.
 2000 04 74708·
 2000 03 66745.
 2000 02 96742·
 2000 01 73674.
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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: Total employed government wage and salary workers in 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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