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 Series Title: Employment: Nonagriculture Private wage and salary workers in Leisure and hospitality industry, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 416035.
 2012 03 925838.
 2012 02 835692.
 2012 01 685782.
 2011 12  235699.
 2011 11  265893.
 2011 10  606117·
 2011 09  345985.
 2011 08  406184·
 2011 07  286268.
 2011 06  56110·
 2011 05  675926.
 2011 04  435668·
 2011 03  785762.
 2011 02  345635.
 2011 01  115833.
 2010 12 66022·
 2010 11 846061.
 2010 10 836189·
 2010 09 376240·
 2010 08 316450.
 2010 07 786239·
 2010 06 155889.
 2010 05 375733·
 2010 04 435656.
 2010 03 155677·
 2010 02 185816·
 2010 01 315892·
 2009 12  915992.
 2009 11  775958.
 2009 10  66016·
 2009 09  635811·
 2009 08  526138·
 2009 07  716414·
 2009 06  156376.
 2009 05  36201·
 2009 04  266105.
 2009 03  295932·
 2009 02  105950·
 2009 01  445982·
 2008 12 386074·
 2008 11 86109.
 2008 10 776051·
 2008 09 56027.
 2008 08 396198·
 2008 07 886337·
 2008 06 306131.
 2008 05 316153.
 2008 04 36132.
 2008 03 775925·
 2008 02 65947.
 2008 01 915827·
 2007 12  325908.
 2007 11  75898.
 2007 10  695845·
 2007 09  795947·
 2007 08  516040·
 2007 07  336226.
 2007 06  76200.
 2007 05  145925.
 2007 04  105653.
 2007 03  385693.
 2007 02  315641.
 2007 01  405476·
 2006 12 855653·
 2006 11 285549·
 2006 10 815832.
 2006 09 275717·
 2006 08 756004·
 2006 07 356232.
 2006 06 186224·
 2006 05 685720.
 2006 04 75639.
 2006 03 155457.
 2006 02 325386.
 2006 01 835239·
 2005 12  305461·
 2005 11  505541·
 2005 10  345675·
 2005 09  155691·
 2005 08  216019.
 2005 07  476097·
 2005 06  636061·
 2005 05  355873.
 2005 04  795483.
 2005 03  385572·
 2005 02  825408.
 2005 01  365400·
 2004 12 305520.
 2004 11 785447.
 2004 10 785494·
 2004 09 375387·
 2004 08 245712.
 2004 07 515850·
 2004 06 645872·
 2004 05 825737·
 2004 04 375671.
 2004 03 615458.
 2004 02 795259·
 2004 01 415091.
 2003 12  705126·
 2003 11  425243.
 2003 10  855401·
 2003 09  75389.
 2003 08  465656.
 2003 07  495797.
 2003 06  705805·
 2003 05  05790·
 2003 04  185565.
 2003 03  645584·
 2003 02  475299.
 2003 01  645179.
 2002 12 595339·
 2002 11 945169.
 2002 10 535364·
 2002 09 685337.
 2002 08 725642·
 2002 07 715649.
 2002 06 535561.
 2002 05 75414.
 2002 04 805233·
 2002 03 515314·
 2002 02 325206.
 2002 01 995191.
 2001 12  355219.
 2001 11  155234·
 2001 10  65263.
 2001 09  885415.
 2001 08  115594.
 2001 07  725872·
 2001 06  115626·
 2001 05  445260.
 2001 04  105224.
 2001 03  515240.
 2001 02  105254.
 2001 01  605152.
 2000 12 565399·
 2000 11 105267.
 2000 10 915237·
 2000 09 575426·
 2000 08 15581.
 2000 07 305723.
 2000 06 675565.
 2000 05 775288·
 2000 04 185231·
 2000 03 185027·
 2000 02 764949·
 2000 01 914998.
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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: Nonagriculture Private wage and salary workers in Leisure and hospitality industry, Women: 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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