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 Series Title: Employment Level: Sales and Related in Leisure and Hospitality Industry: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 441003·
 2012 03 78881·
 2012 02 23967.
 2012 01 25996.
 2011 12  54946.
 2011 11  83907.
 2011 10  87942.
 2011 09  70950·
 2011 08  18941.
 2011 07  731055.
 2011 06  39950.
 2011 05  1963.
 2011 04  86915.
 2011 03  32857·
 2011 02  92957.
 2011 01  63919.
 2010 12 34881·
 2010 11 64905.
 2010 10 85935·
 2010 09 24911.
 2010 08 62935·
 2010 07 3920·
 2010 06 79891.
 2010 05 79823.
 2010 04 95899.
 2010 03 3896·
 2010 02 64857.
 2010 01 46845.
 2009 12  84866.
 2009 11  48896·
 2009 10  51865·
 2009 09  71786.
 2009 08  4888·
 2009 07  44921.
 2009 06  79868.
 2009 05  21820.
 2009 04  56855.
 2009 03  23837·
 2009 02  11856.
 2009 01  92909.
 2008 12 65918.
 2008 11 40946.
 2008 10 34894·
 2008 09 1823·
 2008 08 81865·
 2008 07 78846.
 2008 06 62847·
 2008 05 95901.
 2008 04 80942.
 2008 03 44914·
 2008 02 32933·
 2008 01 40910·
 2007 12  62910·
 2007 11  68863·
 2007 10  8829·
 2007 09  33881·
 2007 08  53874.
 2007 07  9928.
 2007 06  76940.
 2007 05  91888·
 2007 04  2819·
 2007 03  46746·
 2007 02  50800·
 2007 01  59810.
 2006 12 86887·
 2006 11 88914·
 2006 10 69866·
 2006 09 7810·
 2006 08 4820·
 2006 07 65822·
 2006 06 94875.
 2006 05 28819·
 2006 04 83824.
 2006 03 34802.
 2006 02 13726·
 2006 01 41748·
 2005 12  72792.
 2005 11  77722.
 2005 10  41796.
 2005 09  91811·
 2005 08  47869.
 2005 07  1891.
 2005 06  13913.
 2005 05  46859.
 2005 04  8787·
 2005 03  36811.
 2005 02  94779.
 2005 01  1724·
 2004 12 81768·
 2004 11 41819.
 2004 10 72810.
 2004 09 75845.
 2004 08 16877.
 2004 07 96841.
 2004 06 58841.
 2004 05 13766.
 2004 04 88785·
 2004 03 8747·
 2004 02 91742·
 2004 01 82736·
 2003 12  98765.
 2003 11  8746·
 2003 10  35756.
 2003 09  78773·
 2003 08  72741.
 2003 07  54745·
 2003 06  76783·
 2003 05  20780.
 2003 04  59778.
 2003 03  27863·
 2003 02  27772·
 2003 01  51811.
 2002 12 35819.
 2002 11 34802.
 2002 10 28820·
 2002 09 41862·
 2002 08 0909.
 2002 07 6879·
 2002 06 39892.
 2002 05 84897·
 2002 04 80877.
 2002 03 0913·
 2002 02 50912·
 2002 01 99834.
 2001 12  25805·
 2001 11  97839·
 2001 10  74841·
 2001 09  30917·
 2001 08  11919·
 2001 07  5985.
 2001 06  47934.
 2001 05  47823.
 2001 04  38847.
 2001 03  54851.
 2001 02  34817.
 2001 01  43888·
 2000 12 31878.
 2000 11 2783·
 2000 10 21742·
 2000 09 38844.
 2000 08 41910·
 2000 07 30954·
 2000 06 22929·
 2000 05 76856·
 2000 04 43822·
 2000 03 45708·
 2000 02 75758.
 2000 01 26805.
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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 Level: Sales and Related in Leisure and Hospitality Industry: 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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