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 Series Title: Total At Work in Leisure and Hospitality Industries, Wage and Salary Workers, Worked 1-34 Hours, for Economic Reasons: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 511414.
 2012 03 281289.
 2012 02 491498.
 2012 01 491585.
 2011 12  841460.
 2011 11  151434.
 2011 10  51616·
 2011 09  451651·
 2011 08  91433.
 2011 07  261696·
 2011 06  871704·
 2011 05  651407.
 2011 04  751379·
 2011 03  421450·
 2011 02  71515.
 2011 01  541671.
 2010 12 591692·
 2010 11 691472·
 2010 10 41595.
 2010 09 791585.
 2010 08 601627·
 2010 07 401726.
 2010 06 401582·
 2010 05 351417·
 2010 04 41525·
 2010 03 111576·
 2010 02 51567·
 2010 01 411495.
 2009 12  411486.
 2009 11  641449.
 2009 10  91392.
 2009 09  421462·
 2009 08  471546.
 2009 07  51664·
 2009 06  921715.
 2009 05  61416.
 2009 04  221429.
 2009 03  661403·
 2009 02  151433.
 2009 01  281394.
 2008 12 921317·
 2008 11 41126.
 2008 10 68949.
 2008 09 26950.
 2008 08 6982.
 2008 07 991086·
 2008 06 63913·
 2008 05 46772.
 2008 04 41776·
 2008 03 60714.
 2008 02 38780.
 2008 01 56834.
 2007 12  96812.
 2007 11  17646·
 2007 10  55707·
 2007 09  50687·
 2007 08  98692.
 2007 07  28844·
 2007 06  3805·
 2007 05  47723.
 2007 04  95715.
 2007 03  73640·
 2007 02  94672·
 2007 01  91708·
 2006 12 65701.
 2006 11 59648·
 2006 10 67682.
 2006 09 53673.
 2006 08 6670·
 2006 07 19816.
 2006 06 84809.
 2006 05 25611.
 2006 04 46647.
 2006 03 8586.
 2006 02 33620.
 2006 01 27690.
 2005 12  33655·
 2005 11  9675·
 2005 10  27648.
 2005 09  3624·
 2005 08  44677.
 2005 07  28770.
 2005 06  5805.
 2005 05  22721·
 2005 04  78659·
 2005 03  96750·
 2005 02  28707·
 2005 01  79808.
 2004 12 62720.
 2004 11 71665.
 2004 10 84626·
 2004 09 92707·
 2004 08 45742.
 2004 07 33864·
 2004 06 88953·
 2004 05 6720.
 2004 04 3723.
 2004 03 90754·
 2004 02 76744.
 2004 01 89788.
 2003 12  36707.
 2003 11  74774.
 2003 10  11776.
 2003 09  36749.
 2003 08  70753.
 2003 07  40976.
 2003 06  81947.
 2003 05  67759·
 2003 04  56769.
 2003 03  71843·
 2003 02  0868.
 2003 01  24851·
 2002 12 67812.
 2002 11 72710.
 2002 10 5670·
 2002 09 78727.
 2002 08 6779·
 2002 07 77810.
 2002 06 59813·
 2002 05 23717·
 2002 04 97683.
 2002 03 41612.
 2002 02 49674.
 2002 01 77846·
 2001 12  90826·
 2001 11  46784.
 2001 10  89750.
 2001 09  84632·
 2001 08  62555·
 2001 07  98636·
 2001 06  17735·
 2001 05  15515.
 2001 04  12491.
 2001 03  30531.
 2001 02  96517·
 2001 01  62576·
 2000 12 66609·
 2000 11 98533.
 2000 10 13446.
 2000 09 46440·
 2000 08 74479·
 2000 07 84613·
 2000 06 81597·
 2000 05 10554·
 2000 04 11473·
 2000 03 94455.
 2000 02 38506·
 2000 01 24532.
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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: Total At Work in Leisure and Hospitality Industries, Wage and Salary Workers, Worked 1-34 Hours, for Economic Reasons: 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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