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 Series Title: Persons At Work in Leisure and Hospitality Industries, Wage and Salary Workers: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 9312017.
 2012 03 6111483·
 2012 02 1511407·
 2012 01 6411392.
 2011 12  4211580.
 2011 11  8211610·
 2011 10  2412113·
 2011 09  3311875·
 2011 08  5711854·
 2011 07  212485.
 2011 06  3312253.
 2011 05  9911926·
 2011 04  8911376·
 2011 03  211172.
 2011 02  5611165·
 2011 01  911205.
 2010 12 1211581.
 2010 11 8911548.
 2010 10 3111729·
 2010 09 3011935·
 2010 08 2912393·
 2010 07 9412265·
 2010 06 2011735.
 2010 05 5811492.
 2010 04 6311202.
 2010 03 7411096·
 2010 02 1211058.
 2010 01 1110914·
 2009 12  6611314·
 2009 11  1011338·
 2009 10  1911510·
 2009 09  3311505.
 2009 08  1212075.
 2009 07  1012718.
 2009 06  7912406·
 2009 05  9411923·
 2009 04  211708.
 2009 03  511307.
 2009 02  5611424·
 2009 01  8711431.
 2008 12 6211579·
 2008 11 5211738.
 2008 10 3711625.
 2008 09 3211594.
 2008 08 4211926·
 2008 07 3212125.
 2008 06 3411982.
 2008 05 7311793·
 2008 04 1611753·
 2008 03 5111496·
 2008 02 8611418·
 2008 01 7911300.
 2007 12  8711352·
 2007 11  4211302.
 2007 10  5611221.
 2007 09  4511326.
 2007 08  7811577·
 2007 07  6211759.
 2007 06  3211770·
 2007 05  8811480.
 2007 04  4111092·
 2007 03  9111319.
 2007 02  2611132.
 2007 01  5510829·
 2006 12 5111185.
 2006 11 3611151.
 2006 10 7711281.
 2006 09 1210998·
 2006 08 811639·
 2006 07 3011958·
 2006 06 4611776.
 2006 05 5611158·
 2006 04 3810792.
 2006 03 2810615·
 2006 02 2310405.
 2006 01 410266.
 2005 12  9010861·
 2005 11  1310960.
 2005 10  2011005.
 2005 09  210798.
 2005 08  4111578·
 2005 07  9111707·
 2005 06  7511624.
 2005 05  1811344·
 2005 04  9110702·
 2005 03  9310668.
 2005 02  5110511·
 2005 01  4610511·
 2004 12 6510736.
 2004 11 7710809·
 2004 10 3510870.
 2004 09 510593·
 2004 08 1311083·
 2004 07 2311423.
 2004 06 4211305.
 2004 05 4111172·
 2004 04 1110903·
 2004 03 3910623·
 2004 02 710308.
 2004 01 219921·
 2003 12  6010038·
 2003 11  5710172.
 2003 10  9510362·
 2003 09  3910249.
 2003 08  8410637.
 2003 07  3211174·
 2003 06  9311253·
 2003 05  1611118·
 2003 04  3510665·
 2003 03  4610624.
 2003 02  1510303.
 2003 01  9510256·
 2002 12 8710366.
 2002 11 79998.
 2002 10 9710396·
 2002 09 4610407.
 2002 08 4010967·
 2002 07 4611160.
 2002 06 411060.
 2002 05 6210822.
 2002 04 2110468·
 2002 03 1910443·
 2002 02 2210324.
 2002 01 6210127·
 2001 12  8010210·
 2001 11  710091.
 2001 10  6510032·
 2001 09  9110441.
 2001 08  9210707.
 2001 07  1911327·
 2001 06  7110950.
 2001 05  1810276.
 2001 04  5710205·
 2001 03  8510114.
 2001 02  210128.
 2001 01  379685.
 2000 12 110270·
 2000 11 6210116·
 2000 10 4710098·
 2000 09 6710241·
 2000 08 7510606.
 2000 07 3210673·
 2000 06 1810565.
 2000 05 5310150.
 2000 04 539989.
 2000 03 09684.
 2000 02 539635·
 2000 01 639614·
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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: 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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