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 Series Title: Employment: Nonagriculture Private wage and salary workers in Hospitals industry, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 904286·
 2012 03 374216·
 2012 02 384028.
 2012 01 764189.
 2011 12  604186·
 2011 11  994132·
 2011 10  54189·
 2011 09  224196·
 2011 08  714119·
 2011 07  344100.
 2011 06  494180·
 2011 05  414224.
 2011 04  744238.
 2011 03  244293.
 2011 02  814410.
 2011 01  794464.
 2010 12 454338.
 2010 11 754266·
 2010 10 394236·
 2010 09 34122·
 2010 08 834202.
 2010 07 214196.
 2010 06 884101.
 2010 05 84164.
 2010 04 134053·
 2010 03 164211.
 2010 02 134305·
 2010 01 144380.
 2009 12  874259·
 2009 11  434176·
 2009 10  304114.
 2009 09  644167.
 2009 08  804116.
 2009 07  84253·
 2009 06  744278·
 2009 05  274082.
 2009 04  924203.
 2009 03  434262.
 2009 02  104322·
 2009 01  984433·
 2008 12 484347·
 2008 11 54244.
 2008 10 244203·
 2008 09 964193·
 2008 08 994238·
 2008 07 754317·
 2008 06 314256.
 2008 05 654172·
 2008 04 214264·
 2008 03 604222·
 2008 02 674163.
 2008 01 744278·
 2007 12  134161.
 2007 11  914179.
 2007 10  964176.
 2007 09  173980·
 2007 08  14045.
 2007 07  263970.
 2007 06  63902.
 2007 05  133911·
 2007 04  353874.
 2007 03  453860.
 2007 02  93741.
 2007 01  73832·
 2006 12 913803.
 2006 11 563864·
 2006 10 433849.
 2006 09 683799·
 2006 08 703915·
 2006 07 903884.
 2006 06 723879.
 2006 05 893835·
 2006 04 963771.
 2006 03 33818·
 2006 02 834014·
 2006 01 903935.
 2005 12  203916·
 2005 11  783907.
 2005 10  893979.
 2005 09  163886.
 2005 08  173973·
 2005 07  214001.
 2005 06  283871.
 2005 05  343806·
 2005 04  883740.
 2005 03  643768.
 2005 02  623762·
 2005 01  403876·
 2004 12 593870·
 2004 11 633891.
 2004 10 813878.
 2004 09 523831·
 2004 08 783856.
 2004 07 993885·
 2004 06 963885·
 2004 05 153807.
 2004 04 233860·
 2004 03 813846·
 2004 02 453774·
 2004 01 983841·
 2003 12  933787·
 2003 11  383816.
 2003 10  923928·
 2003 09  944089.
 2003 08  144076·
 2003 07  294026·
 2003 06  253888·
 2003 05  243852.
 2003 04  363927·
 2003 03  343912.
 2003 02  553903·
 2003 01  313903.
 2002 12 343755·
 2002 11 603680.
 2002 10 223704.
 2002 09 843679·
 2002 08 103631.
 2002 07 383681.
 2002 06 873691.
 2002 05 773726.
 2002 04 873668·
 2002 03 263595.
 2002 02 393647.
 2002 01 313582.
 2001 12  173612.
 2001 11  63683.
 2001 10  913719.
 2001 09  883540.
 2001 08  763568.
 2001 07  833631.
 2001 06  813497·
 2001 05  173660.
 2001 04  633649·
 2001 03  893659·
 2001 02  713531.
 2001 01  143444·
 2000 12 33384.
 2000 11 813493.
 2000 10 503615·
 2000 09 973552·
 2000 08 483584.
 2000 07 413596.
 2000 06 303454·
 2000 05 103414·
 2000 04 723416·
 2000 03 753337·
 2000 02 493370·
 2000 01 233456·
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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: Employment: Nonagriculture Private wage and salary workers in Hospitals industry, Women: 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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