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 Series Title: Unemployment Level: Nonagricultural Private Wage and Salary Workers, Hospitals: NSA
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 2012 04 12136·
 2012 03 76146.
 2012 02 21164.
 2012 01 82190.
 2011 12  17180·
 2011 11  85138·
 2011 10  49195·
 2011 09  1175·
 2011 08  14183·
 2011 07  18186.
 2011 06  2194.
 2011 05  43160.
 2011 04  52115.
 2011 03  55165·
 2011 02  95160.
 2011 01  53152.
 2010 12 7155·
 2010 11 5181.
 2010 10 63153.
 2010 09 0163·
 2010 08 80164·
 2010 07 98224.
 2010 06 72222·
 2010 05 78176·
 2010 04 96145·
 2010 03 91160.
 2010 02 8147·
 2010 01 6146.
 2009 12  6163.
 2009 11  65140.
 2009 10  84142.
 2009 09  29143·
 2009 08  83130.
 2009 07  28140.
 2009 06  39140·
 2009 05  15129·
 2009 04  30134.
 2009 03  11109.
 2009 02  34114·
 2009 01  58102.
 2008 12 72107.
 2008 11 70105.
 2008 10 59128·
 2008 09 7999.
 2008 08 5888·
 2008 07 8890.
 2008 06 2684.
 2008 05 2075·
 2008 04 6570.
 2008 03 7089.
 2008 02 7276·
 2008 01 5265·
 2007 12  92109·
 2007 11  4968.
 2007 10  6181·
 2007 09  68103·
 2007 08  65104.
 2007 07  8285.
 2007 06  8164·
 2007 05  8771·
 2007 04  3451·
 2007 03  4953·
 2007 02  4470·
 2007 01  5357.
 2006 12 76113.
 2006 11 5785.
 2006 10 8973.
 2006 09 3786·
 2006 08 8955·
 2006 07 3976.
 2006 06 7866.
 2006 05 3165·
 2006 04 187.
 2006 03 5091·
 2006 02 9980·
 2006 01 5498.
 2005 12  60115·
 2005 11  7297·
 2005 10  6594.
 2005 09  5292·
 2005 08  42111.
 2005 07  1397·
 2005 06  1482·
 2005 05  9488·
 2005 04  4993·
 2005 03  3101.
 2005 02  977.
 2005 01  7283·
 2004 12 471·
 2004 11 075.
 2004 10 3866.
 2004 09 780·
 2004 08 5986·
 2004 07 8499.
 2004 06 13102.
 2004 05 43115·
 2004 04 89108·
 2004 03 6388.
 2004 02 7396.
 2004 01 4899·
 2003 12  94109·
 2003 11  6884.
 2003 10  8092.
 2003 09  1787·
 2003 08  093·
 2003 07  5673·
 2003 06  2291.
 2003 05  6986.
 2003 04  57102·
 2003 03  981·
 2003 02  13120·
 2003 01  4984·
 2002 12 4199.
 2002 11 3373.
 2002 10 8983.
 2002 09 2575·
 2002 08 5197·
 2002 07 59116·
 2002 06 1592.
 2002 05 9167·
 2002 04 1481.
 2002 03 4595.
 2002 02 77125·
 2002 01 67108.
 2001 12  7994·
 2001 11  7297·
 2001 10  9067·
 2001 09  9677.
 2001 08  2388.
 2001 07  4675·
 2001 06  8965.
 2001 05  4961.
 2001 04  4558·
 2001 03  081·
 2001 02  4064·
 2001 01  1882·
 2000 12 7064.
 2000 11 9057.
 2000 10 2839·
 2000 09 2449·
 2000 08 5075·
 2000 07 9771·
 2000 06 6965·
 2000 05 1079·
 2000 04 6062.
 2000 03 2958.
 2000 02 9853·
 2000 01 4559·
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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: Unemployment Level: Nonagricultural Private Wage and Salary Workers, 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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