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 Series Title: Unemployment Level: Leisure and Hospitality, Private 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 81290.
 2012 03 591395.
 2012 02 931496·
 2012 01 411647.
 2011 12  631395·
 2011 11  191451.
 2011 10  701448·
 2011 09  91492·
 2011 08  101399·
 2011 07  11510.
 2011 06  731483·
 2011 05  21402.
 2011 04  981482.
 2011 03  891695.
 2011 02  161783·
 2011 01  621788.
 2010 12 41580.
 2010 11 881634.
 2010 10 341458.
 2010 09 581536.
 2010 08 271507·
 2010 07 311570·
 2010 06 931609·
 2010 05 861601.
 2010 04 921633.
 2010 03 741571.
 2010 02 791597.
 2010 01 651804·
 2009 12  521624·
 2009 11  991524·
 2009 10  51604.
 2009 09  371469.
 2009 08  791636·
 2009 07  121600.
 2009 06  101688·
 2009 05  731599·
 2009 04  761322.
 2009 03  441484·
 2009 02  551477·
 2009 01  671487·
 2008 12 681210·
 2008 11 541283.
 2008 10 301126.
 2008 09 381029.
 2008 08 41122·
 2008 07 211172·
 2008 06 471154.
 2008 05 291074·
 2008 04 61874·
 2008 03 54944.
 2008 02 431056.
 2008 01 111176.
 2007 12  38961·
 2007 11  83986·
 2007 10  82911·
 2007 09  76892·
 2007 08  61877·
 2007 07  65920.
 2007 06  52917.
 2007 05  45831.
 2007 04  81822·
 2007 03  82845.
 2007 02  65879·
 2007 01  62911·
 2006 12 72701·
 2006 11 41836.
 2006 10 60795·
 2006 09 95810·
 2006 08 36855·
 2006 07 72867.
 2006 06 99942.
 2006 05 39830·
 2006 04 97882.
 2006 03 33917.
 2006 02 701040.
 2006 01 13910·
 2005 12  6930·
 2005 11  6966.
 2005 10  86796.
 2005 09  61842.
 2005 08  38844.
 2005 07  97929.
 2005 06  85950.
 2005 05  52944.
 2005 04  95882·
 2005 03  37967·
 2005 02  301008.
 2005 01  81993·
 2004 12 0850.
 2004 11 83916.
 2004 10 9853·
 2004 09 66854·
 2004 08 51010·
 2004 07 18965·
 2004 06 341189.
 2004 05 51977.
 2004 04 85925·
 2004 03 471039.
 2004 02 44987.
 2004 01 61097.
 2003 12  40885·
 2003 11  2990·
 2003 10  1933.
 2003 09  26978.
 2003 08  961050·
 2003 07  401020·
 2003 06  931048·
 2003 05  28955.
 2003 04  3986.
 2003 03  431035.
 2003 02  341145·
 2003 01  571049.
 2002 12 37922·
 2002 11 16978.
 2002 10 60956·
 2002 09 83885·
 2002 08 97884·
 2002 07 93999.
 2002 06 361034.
 2002 05 991022.
 2002 04 10953.
 2002 03 28976.
 2002 02 48973.
 2002 01 25947.
 2001 12  25938·
 2001 11  5935.
 2001 10  11903·
 2001 09  5900.
 2001 08  19767·
 2001 07  30813·
 2001 06  60821·
 2001 05  7731.
 2001 04  91744.
 2001 03  34817.
 2001 02  61821·
 2001 01  27806·
 2000 12 67639.
 2000 11 74694.
 2000 10 0691.
 2000 09 82636·
 2000 08 97675·
 2000 07 31786.
 2000 06 90833·
 2000 05 18675.
 2000 04 56658.
 2000 03 13789·
 2000 02 69779·
 2000 01 4782·
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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: Unemployment Level: Leisure and Hospitality, Private 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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