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 Series Title: Employed: Wage and salary workers, Leisure and hospitality, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 596134·
 2012 03 355815·
 2012 02 135865·
 2012 01 895789·
 2011 12  825989·
 2011 11  165861·
 2011 10  156082.
 2011 09  355973.
 2011 08  95960·
 2011 07  326402·
 2011 06  566280.
 2011 05  176126.
 2011 04  915790.
 2011 03  665552·
 2011 02  475669·
 2011 01  795551.
 2010 12 25692.
 2010 11 255638·
 2010 10 285737·
 2010 09 915918·
 2010 08 436216·
 2010 07 396249·
 2010 06 615910.
 2010 05 475868.
 2010 04 405656·
 2010 03 655524·
 2010 02 345361·
 2010 01 655149.
 2009 12  425479.
 2009 11  865461·
 2009 10  595565·
 2009 09  905858·
 2009 08  266148.
 2009 07  86580.
 2009 06  766196·
 2009 05  915881.
 2009 04  915780.
 2009 03  625569.
 2009 02  465681·
 2009 01  635667·
 2008 12 635660·
 2008 11 55742·
 2008 10 585726.
 2008 09 235726.
 2008 08 925975·
 2008 07 196111.
 2008 06 245997·
 2008 05 175838.
 2008 04 545778·
 2008 03 115736.
 2008 02 825629·
 2008 01 145697.
 2007 12  505550·
 2007 11  115502·
 2007 10  965558.
 2007 09  75484·
 2007 08  45769.
 2007 07  775843.
 2007 06  525824·
 2007 05  165701·
 2007 04  665628·
 2007 03  905802.
 2007 02  655572·
 2007 01  855553.
 2006 12 135698.
 2006 11 575673.
 2006 10 725536·
 2006 09 835372·
 2006 08 455887·
 2006 07 105941·
 2006 06 355796·
 2006 05 55538·
 2006 04 875335.
 2006 03 55335·
 2006 02 435148·
 2006 01 695212·
 2005 12  895570·
 2005 11  245578.
 2005 10  85446.
 2005 09  195230·
 2005 08  275815.
 2005 07  735819.
 2005 06  695801.
 2005 05  265671.
 2005 04  25315.
 2005 03  855317.
 2005 02  895244.
 2005 01  825284.
 2004 12 385314·
 2004 11 155459·
 2004 10 545528.
 2004 09 75390·
 2004 08 865620·
 2004 07 465871.
 2004 06 795649.
 2004 05 455569.
 2004 04 225357.
 2004 03 845278·
 2004 02 05134.
 2004 01 654963.
 2003 12  454962·
 2003 11  605005·
 2003 10  825077.
 2003 09  624981·
 2003 08  825263·
 2003 07  325651.
 2003 06  115643·
 2003 05  545521.
 2003 04  825264·
 2003 03  815241.
 2003 02  15197.
 2003 01  865214.
 2002 12 215196·
 2002 11 134981·
 2002 10 905165.
 2002 09 275219·
 2002 08 05545·
 2002 07 615773·
 2002 06 405760·
 2002 05 715635·
 2002 04 435396·
 2002 03 815376·
 2002 02 395222·
 2002 01 365087.
 2001 12  25090·
 2001 11  544993.
 2001 10  14952.
 2001 09  695148.
 2001 08  515295.
 2001 07  875671.
 2001 06  635562·
 2001 05  365184.
 2001 04  915251.
 2001 03  125112·
 2001 02  875080.
 2001 01  334775.
 2000 12 474978.
 2000 11 865011·
 2000 10 634966·
 2000 09 795001·
 2000 08 715338·
 2000 07 905260·
 2000 06 25263·
 2000 05 175084·
 2000 04 364996.
 2000 03 304937.
 2000 02 444867.
 2000 01 184813·
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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: Employed: Wage and salary workers, Leisure and hospitality, Men: 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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