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 Series Title: Persons At Work in Leisure and Hospitality Industries, Wage and Salary Workers, Worked 1-34 Hours: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 405347·
 2012 03 624921·
 2012 02 794959·
 2012 01 865236.
 2011 12  65128·
 2011 11  605362.
 2011 10  735536·
 2011 09  05302·
 2011 08  755019.
 2011 07  935443.
 2011 06  55487·
 2011 05  495299.
 2011 04  995247·
 2011 03  455108·
 2011 02  895112.
 2011 01  795202.
 2010 12 535356·
 2010 11 205311·
 2010 10 625353·
 2010 09 585424·
 2010 08 365439.
 2010 07 515332·
 2010 06 874939.
 2010 05 814955.
 2010 04 754969·
 2010 03 955146·
 2010 02 525430·
 2010 01 665227·
 2009 12  195173.
 2009 11  335259.
 2009 10  705299.
 2009 09  585762.
 2009 08  455366.
 2009 07  725522.
 2009 06  795561·
 2009 05  275372·
 2009 04  525218.
 2009 03  434943·
 2009 02  415259·
 2009 01  655211.
 2008 12 665237.
 2008 11 45081.
 2008 10 454874·
 2008 09 934893·
 2008 08 384844.
 2008 07 354860.
 2008 06 34719·
 2008 05 544856.
 2008 04 425012.
 2008 03 434674·
 2008 02 544641.
 2008 01 184565.
 2007 12  804548.
 2007 11  614523.
 2007 10  594486·
 2007 09  784493·
 2007 08  764472.
 2007 07  444531·
 2007 06  84640·
 2007 05  544720·
 2007 04  814635·
 2007 03  754475·
 2007 02  134691·
 2007 01  914394·
 2006 12 704591.
 2006 11 594481.
 2006 10 124519·
 2006 09 564432.
 2006 08 444437.
 2006 07 294642.
 2006 06 674691·
 2006 05 454661·
 2006 04 284426·
 2006 03 414208.
 2006 02 684382.
 2006 01 764194.
 2005 12  734422·
 2005 11  774561.
 2005 10  254398.
 2005 09  944434.
 2005 08  534528.
 2005 07  444590·
 2005 06  784534·
 2005 05  674589·
 2005 04  704342.
 2005 03  734528·
 2005 02  904437·
 2005 01  904417.
 2004 12 484535·
 2004 11 204659.
 2004 10 484443.
 2004 09 824548·
 2004 08 384445.
 2004 07 684575.
 2004 06 654851·
 2004 05 884746·
 2004 04 164696·
 2004 03 234627.
 2004 02 784430.
 2004 01 754302·
 2003 12  824154.
 2003 11  174484.
 2003 10  524467.
 2003 09  394386.
 2003 08  614261·
 2003 07  64494.
 2003 06  744638.
 2003 05  994590·
 2003 04  34488.
 2003 03  724502·
 2003 02  564481·
 2003 01  984284·
 2002 12 844507·
 2002 11 214340·
 2002 10 364328.
 2002 09 64368·
 2002 08 54190·
 2002 07 864359·
 2002 06 794527·
 2002 05 174458.
 2002 04 914379.
 2002 03 234255.
 2002 02 704231·
 2002 01 504386.
 2001 12  914513.
 2001 11  134514.
 2001 10  244319·
 2001 09  494474.
 2001 08  833983·
 2001 07  644209.
 2001 06  784251.
 2001 05  844069.
 2001 04  654206.
 2001 03  64012·
 2001 02  954146.
 2001 01  484166.
 2000 12 644195.
 2000 11 974091·
 2000 10 634078.
 2000 09 614050.
 2000 08 293955·
 2000 07 183921.
 2000 06 944052.
 2000 05 674026.
 2000 04 364083.
 2000 03 763899.
 2000 02 283960.
 2000 01 344016.
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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: Persons At Work in Leisure and Hospitality Industries, Wage and Salary Workers, Worked 1-34 Hours: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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