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 Series Title: Total At Work in Leisure and Hospitality Industries, Wage and Salary Workers, Worked 1-34 Hours, for Noneconomic Reasons, Usually Work Full Time: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 46428·
 2012 03 43442.
 2012 02 8353.
 2012 01 9455·
 2011 12  33404.
 2011 11  72562·
 2011 10  21527.
 2011 09  1403.
 2011 08  18478·
 2011 07  32488·
 2011 06  65532·
 2011 05  23443.
 2011 04  50456.
 2011 03  3363·
 2011 02  55438.
 2011 01  20546·
 2010 12 6435.
 2010 11 92503·
 2010 10 27494·
 2010 09 59447.
 2010 08 86495.
 2010 07 31482.
 2010 06 46409.
 2010 05 36304·
 2010 04 15356·
 2010 03 76402·
 2010 02 98653.
 2010 01 70424·
 2009 12  43414·
 2009 11  9555·
 2009 10  96540·
 2009 09  4918·
 2009 08  47507·
 2009 07  36498·
 2009 06  80567·
 2009 05  7492·
 2009 04  25372·
 2009 03  90399.
 2009 02  10470·
 2009 01  75433.
 2008 12 5420.
 2008 11 26517·
 2008 10 76471·
 2008 09 26430·
 2008 08 35551·
 2008 07 27537·
 2008 06 90445·
 2008 05 4455.
 2008 04 92451·
 2008 03 99492.
 2008 02 90437.
 2008 01 78430·
 2007 12  76437·
 2007 11  74467.
 2007 10  39465.
 2007 09  43432·
 2007 08  12514·
 2007 07  8542.
 2007 06  25473·
 2007 05  17432·
 2007 04  51483.
 2007 03  84339·
 2007 02  61510·
 2007 01  45475.
 2006 12 68437.
 2006 11 7458·
 2006 10 84472.
 2006 09 96420.
 2006 08 63506.
 2006 07 9522.
 2006 06 58522.
 2006 05 64399.
 2006 04 63428.
 2006 03 47389·
 2006 02 70502·
 2006 01 68415·
 2005 12  16449·
 2005 11  3519.
 2005 10  33500.
 2005 09  52427·
 2005 08  99498.
 2005 07  83566.
 2005 06  86486.
 2005 05  86399.
 2005 04  12437·
 2005 03  19451·
 2005 02  91416.
 2005 01  63492·
 2004 12 80468·
 2004 11 68509.
 2004 10 35407.
 2004 09 3535.
 2004 08 55592.
 2004 07 11563·
 2004 06 33549.
 2004 05 50455·
 2004 04 10376·
 2004 03 54410.
 2004 02 21417·
 2004 01 73401·
 2003 12  47409·
 2003 11  30411·
 2003 10  63442·
 2003 09  67418.
 2003 08  91489.
 2003 07  95504·
 2003 06  47429.
 2003 05  49413·
 2003 04  92353.
 2003 03  31398·
 2003 02  85502·
 2003 01  65409.
 2002 12 26536·
 2002 11 44467.
 2002 10 15413.
 2002 09 83412·
 2002 08 94431·
 2002 07 66509·
 2002 06 0507·
 2002 05 98432·
 2002 04 19420.
 2002 03 54398.
 2002 02 29377·
 2002 01 29399·
 2001 12  54427·
 2001 11  89490.
 2001 10  14477.
 2001 09  20625·
 2001 08  73504.
 2001 07  79505·
 2001 06  92511·
 2001 05  41412·
 2001 04  76498·
 2001 03  53466·
 2001 02  27437·
 2001 01  84498.
 2000 12 90428.
 2000 11 70409·
 2000 10 7472.
 2000 09 70455·
 2000 08 64482·
 2000 07 11448.
 2000 06 44491.
 2000 05 42413.
 2000 04 75423.
 2000 03 82345.
 2000 02 77368·
 2000 01 70436.
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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 Noneconomic Reasons, Usually Work Full Time: 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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