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 Series Title: Employment Level: Management, Business, and Financial Operations Occupations in Leisure and Hospitality Industry: NSA
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 2012 04 531748·
 2012 03 491590·
 2012 02 921598·
 2012 01 701639·
 2011 12  981711.
 2011 11  941695.
 2011 10  751768·
 2011 09  891710·
 2011 08  661673.
 2011 07  931745·
 2011 06  151796.
 2011 05  631694.
 2011 04  71566·
 2011 03  281636·
 2011 02  251597·
 2011 01  371641.
 2010 12 961663.
 2010 11 71644·
 2010 10 431645·
 2010 09 781681.
 2010 08 341666.
 2010 07 601628.
 2010 06 321551.
 2010 05 821564·
 2010 04 461527.
 2010 03 441560.
 2010 02 801562·
 2010 01 671443·
 2009 12  831533·
 2009 11  421560.
 2009 10  991603.
 2009 09  781674·
 2009 08  191635·
 2009 07  591779.
 2009 06  281744·
 2009 05  841691.
 2009 04  561705.
 2009 03  271685.
 2009 02  301680·
 2009 01  791670·
 2008 12 191687·
 2008 11 31715.
 2008 10 911783.
 2008 09 811829.
 2008 08 581707.
 2008 07 681784.
 2008 06 261755.
 2008 05 361716·
 2008 04 481778·
 2008 03 301708·
 2008 02 721749.
 2008 01 121719.
 2007 12  901550.
 2007 11  191503·
 2007 10  911532.
 2007 09  41535·
 2007 08  91635.
 2007 07  931604.
 2007 06  731619.
 2007 05  301628.
 2007 04  561553.
 2007 03  321594.
 2007 02  291578·
 2007 01  351631·
 2006 12 61624.
 2006 11 451663·
 2006 10 981654·
 2006 09 881587·
 2006 08 601677·
 2006 07 621611.
 2006 06 431631.
 2006 05 831474.
 2006 04 421405.
 2006 03 391387.
 2006 02 511388·
 2006 01 391424.
 2005 12  41561·
 2005 11  601574·
 2005 10  351641.
 2005 09  01585.
 2005 08  201564.
 2005 07  291653·
 2005 06  331609·
 2005 05  361543·
 2005 04  911526.
 2005 03  801458.
 2005 02  91351.
 2005 01  401382·
 2004 12 431378.
 2004 11 681377·
 2004 10 491483·
 2004 09 321415·
 2004 08 261466·
 2004 07 751462·
 2004 06 671506.
 2004 05 561432.
 2004 04 141469.
 2004 03 81423.
 2004 02 11419.
 2004 01 811350.
 2003 12  91309·
 2003 11  981288·
 2003 10  141328·
 2003 09  11391·
 2003 08  371366.
 2003 07  31457·
 2003 06  931472.
 2003 05  361493.
 2003 04  461419·
 2003 03  31388·
 2003 02  521427·
 2003 01  291393·
 2002 12 131375·
 2002 11 61384.
 2002 10 281444·
 2002 09 491477·
 2002 08 391489.
 2002 07 421506·
 2002 06 841480.
 2002 05 911506.
 2002 04 481606.
 2002 03 701547·
 2002 02 81535·
 2002 01 741482.
 2001 12  901479·
 2001 11  691536·
 2001 10  141541·
 2001 09  421520·
 2001 08  431521·
 2001 07  481566.
 2001 06  381526.
 2001 05  641533·
 2001 04  41526·
 2001 03  371424.
 2001 02  441444.
 2001 01  341361·
 2000 12 11424·
 2000 11 931419·
 2000 10 191412.
 2000 09 721473·
 2000 08 841548.
 2000 07 991602.
 2000 06 771671·
 2000 05 211717·
 2000 04 271696.
 2000 03 591625.
 2000 02 561519·
 2000 01 511465.
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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 Level: Management, Business, and Financial Operations Occupations in Leisure and Hospitality Industry: 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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