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 Series Title: Employed: Hospitals, White: NSA
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 2012 04 394672.
 2012 03 424583·
 2012 02 924438·
 2012 01 374566.
 2011 12  474600.
 2011 11  934670·
 2011 10  534695·
 2011 09  294744.
 2011 08  74738·
 2011 07  314814·
 2011 06  24819.
 2011 05  74787.
 2011 04  734802.
 2011 03  364702.
 2011 02  524816·
 2011 01  164962·
 2010 12 174897.
 2010 11 154879.
 2010 10 414757·
 2010 09 244541·
 2010 08 424574·
 2010 07 14531·
 2010 06 334493.
 2010 05 264575.
 2010 04 724593.
 2010 03 484609·
 2010 02 144604·
 2010 01 404784.
 2009 12  584673·
 2009 11  404702.
 2009 10  994695·
 2009 09  114751·
 2009 08  754735.
 2009 07  834783·
 2009 06  244721.
 2009 05  84548.
 2009 04  244657.
 2009 03  84643·
 2009 02  524719·
 2009 01  264797·
 2008 12 304733.
 2008 11 734708.
 2008 10 734739.
 2008 09 824765·
 2008 08 434810.
 2008 07 584780.
 2008 06 974750·
 2008 05 224581.
 2008 04 384691.
 2008 03 704668.
 2008 02 644657.
 2008 01 154724·
 2007 12  174612.
 2007 11  424663.
 2007 10  364656.
 2007 09  544498.
 2007 08  54578.
 2007 07  294596.
 2007 06  24405·
 2007 05  604419.
 2007 04  514374·
 2007 03  134383.
 2007 02  734289·
 2007 01  754356·
 2006 12 324251·
 2006 11 14238·
 2006 10 884157·
 2006 09 694115.
 2006 08 474265.
 2006 07 254253·
 2006 06 104296.
 2006 05 374315·
 2006 04 234254.
 2006 03 414297·
 2006 02 274334.
 2006 01 974237·
 2005 12  94185·
 2005 11  314179·
 2005 10  514259.
 2005 09  934291·
 2005 08  804412·
 2005 07  24423·
 2005 06  204323.
 2005 05  964311.
 2005 04  384311·
 2005 03  844310·
 2005 02  984348·
 2005 01  984398·
 2004 12 84378.
 2004 11 364349.
 2004 10 724294.
 2004 09 194251.
 2004 08 404308·
 2004 07 384307.
 2004 06 554303.
 2004 05 34264.
 2004 04 94364.
 2004 03 974484·
 2004 02 864403·
 2004 01 204428.
 2003 12  164324·
 2003 11  444224.
 2003 10  264353.
 2003 09  624495.
 2003 08  864412.
 2003 07  374499.
 2003 06  644296.
 2003 05  514204·
 2003 04  704326.
 2003 03  574331.
 2003 02  124307.
 2003 01  294298·
 2002 12 434099·
 2002 11 103963.
 2002 10 94017·
 2002 09 664040.
 2002 08 54076.
 2002 07 294082·
 2002 06 184007·
 2002 05 563987.
 2002 04 824071.
 2002 03 704079·
 2002 02 264035.
 2002 01 184020.
 2001 12  244040·
 2001 11  144093·
 2001 10  464174·
 2001 09  963974·
 2001 08  73953·
 2001 07  693908·
 2001 06  173806·
 2001 05  593964.
 2001 04  314046.
 2001 03  654095·
 2001 02  04050·
 2001 01  23919.
 2000 12 213875.
 2000 11 603946·
 2000 10 844170·
 2000 09 444091·
 2000 08 274092.
 2000 07 344057·
 2000 06 823931.
 2000 05 293891.
 2000 04 263862·
 2000 03 963816·
 2000 02 323843·
 2000 01 253917·
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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: Employed: Hospitals, White: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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