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 Series Title: Employed: Hospitals, Black or African American: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 161003·
 2012 03 69959·
 2012 02 1958.
 2012 01 59951.
 2011 12  12983.
 2011 11  351010·
 2011 10  11003.
 2011 09  151042.
 2011 08  62982.
 2011 07  86864·
 2011 06  89953·
 2011 05  57958·
 2011 04  17949·
 2011 03  61004·
 2011 02  78932·
 2011 01  30920.
 2010 12 50886.
 2010 11 99909.
 2010 10 61048·
 2010 09 21080·
 2010 08 641027.
 2010 07 981103.
 2010 06 371048·
 2010 05 681010·
 2010 04 83990.
 2010 03 60975.
 2010 02 581073.
 2010 01 461086.
 2009 12  581008·
 2009 11  661029·
 2009 10  81976.
 2009 09  81971.
 2009 08  65961.
 2009 07  23980.
 2009 06  451032.
 2009 05  43991·
 2009 04  2998·
 2009 03  62989·
 2009 02  13999.
 2009 01  241047·
 2008 12 97995·
 2008 11 41958·
 2008 10 72947·
 2008 09 45935·
 2008 08 99941.
 2008 07 401016·
 2008 06 36999.
 2008 05 49924·
 2008 04 841004·
 2008 03 66930·
 2008 02 42878.
 2008 01 6895·
 2007 12  52924.
 2007 11  52966·
 2007 10  53951.
 2007 09  9899·
 2007 08  29886.
 2007 07  53839·
 2007 06  57909·
 2007 05  78940·
 2007 04  64998.
 2007 03  51953.
 2007 02  68927.
 2007 01  58885·
 2006 12 34938.
 2006 11 54940.
 2006 10 221033.
 2006 09 16975·
 2006 08 38931.
 2006 07 92945.
 2006 06 83891.
 2006 05 48897·
 2006 04 3953.
 2006 03 22891.
 2006 02 39919.
 2006 01 72939.
 2005 12  78974.
 2005 11  26938·
 2005 10  2949.
 2005 09  32931·
 2005 08  38886·
 2005 07  10973·
 2005 06  10946·
 2005 05  99899.
 2005 04  86841·
 2005 03  7833·
 2005 02  27790.
 2005 01  65807.
 2004 12 44845·
 2004 11 72863.
 2004 10 41837.
 2004 09 50891·
 2004 08 65910.
 2004 07 88940.
 2004 06 63957.
 2004 05 98926.
 2004 04 23937.
 2004 03 61833·
 2004 02 32786·
 2004 01 79819.
 2003 12  19777·
 2003 11  23839.
 2003 10  11837·
 2003 09  86836.
 2003 08  79871·
 2003 07  30821.
 2003 06  88847·
 2003 05  38896.
 2003 04  52908·
 2003 03  64917·
 2003 02  76855·
 2003 01  80907·
 2002 12 14898·
 2002 11 31941.
 2002 10 12956·
 2002 09 81882.
 2002 08 65869·
 2002 07 64872·
 2002 06 60895.
 2002 05 35974.
 2002 04 31883·
 2002 03 19829.
 2002 02 7871·
 2002 01 61834.
 2001 12  62889.
 2001 11  77929.
 2001 10  66851.
 2001 09  4818.
 2001 08  34825.
 2001 07  46902.
 2001 06  75892.
 2001 05  31888·
 2001 04  47919·
 2001 03  56960.
 2001 02  98926·
 2001 01  38928·
 2000 12 26838.
 2000 11 65886.
 2000 10 21903·
 2000 09 44864·
 2000 08 21848.
 2000 07 54876.
 2000 06 58886·
 2000 05 93884.
 2000 04 9917.
 2000 03 30900·
 2000 02 47899·
 2000 01 53838.
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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, Black or African American: 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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