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 Series Title: Employment: Nonagriculture Private wage and salary workers in Leisure and hospitality industry, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 705894.
 2012 03 355617.
 2012 02 905673.
 2012 01 615599.
 2011 12  05779.
 2011 11  625677.
 2011 10  25859.
 2011 09  65767·
 2011 08  405746.
 2011 07  306117·
 2011 06  586000.
 2011 05  935885·
 2011 04  415560.
 2011 03  225340·
 2011 02  725479.
 2011 01  675377·
 2010 12 785526·
 2010 11 455455.
 2010 10 815512.
 2010 09 965679.
 2010 08 515932.
 2010 07 305928.
 2010 06 495612.
 2010 05 765620.
 2010 04 855430·
 2010 03 345338.
 2010 02 635188.
 2010 01 245016·
 2009 12  325309.
 2009 11  385302.
 2009 10  365363·
 2009 09  865642.
 2009 08  665866.
 2009 07  496254.
 2009 06  65938·
 2009 05  305654.
 2009 04  885578·
 2009 03  995384·
 2009 02  365486·
 2009 01  505469.
 2008 12 235499.
 2008 11 445589.
 2008 10 145533·
 2008 09 665501.
 2008 08 215646.
 2008 07 675761.
 2008 06 525689.
 2008 05 215573·
 2008 04 595594·
 2008 03 735543·
 2008 02 895419.
 2008 01 855470.
 2007 12  365323.
 2007 11  945292.
 2007 10  885325·
 2007 09  525250·
 2007 08  785476·
 2007 07  875523·
 2007 06  365534·
 2007 05  425463.
 2007 04  355402·
 2007 03  335557.
 2007 02  465335.
 2007 01  975342·
 2006 12 825486·
 2006 11 405464.
 2006 10 565330·
 2006 09 885147.
 2006 08 215583.
 2006 07 395612·
 2006 06 295493.
 2006 05 95289.
 2006 04 765144·
 2006 03 865127·
 2006 02 534969.
 2006 01 785023·
 2005 12  975361.
 2005 11  635375·
 2005 10  415225.
 2005 09  404994·
 2005 08  615491.
 2005 07  775458·
 2005 06  315429·
 2005 05  645394·
 2005 04  675068·
 2005 03  595065·
 2005 02  854996.
 2005 01  445038·
 2004 12 415055·
 2004 11 675207.
 2004 10 915271·
 2004 09 995121·
 2004 08 345315·
 2004 07 815539·
 2004 06 635343.
 2004 05 735306·
 2004 04 205111.
 2004 03 85053·
 2004 02 394907.
 2004 01 364749.
 2003 12  04757·
 2003 11  804815·
 2003 10  804861.
 2003 09  824803.
 2003 08  05021·
 2003 07  545362·
 2003 06  755358.
 2003 05  295316.
 2003 04  695057.
 2003 03  115030.
 2003 02  384992.
 2003 01  234996·
 2002 12 844992·
 2002 11 584791.
 2002 10 54969.
 2002 09 315018·
 2002 08 445255·
 2002 07 275497.
 2002 06 405537.
 2002 05 495447·
 2002 04 765223.
 2002 03 735198·
 2002 02 305031.
 2002 01 954875·
 2001 12  284899·
 2001 11  804801·
 2001 10  894715·
 2001 09  144926·
 2001 08  784991.
 2001 07  535356·
 2001 06  555302·
 2001 05  744974.
 2001 04  255023·
 2001 03  244921.
 2001 02  894888.
 2001 01  704572·
 2000 12 944774.
 2000 11 494766·
 2000 10 814726·
 2000 09 214776.
 2000 08 375092.
 2000 07 114994.
 2000 06 435025.
 2000 05 704900.
 2000 04 274827·
 2000 03 164787.
 2000 02 134699.
 2000 01 884630.
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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 Leisure and hospitality industry, Men: 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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