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 Series Title: Average Hours, At Work in Leisure and Hospitality Industries, Wage and Salary Workers, Persons Who Usually Work Full Time: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 1741.8
 2012 03 9741·3
 2012 02 4841.7
 2012 01 2841·1
 2011 12  2141.8
 2011 11  1141.7
 2011 10  8641.9
 2011 09  6441.9
 2011 08  4141·6
 2011 07  7441.6
 2011 06  7641·6
 2011 05  4941.8
 2011 04  2841.4
 2011 03  6741·4
 2011 02  3041·4
 2011 01  2640.8
 2010 12 5841·5
 2010 11 9641.6
 2010 10 8541.6
 2010 09 6641.9
 2010 08 2941.9
 2010 07 9441·4
 2010 06 541.2
 2010 05 6141·6
 2010 04 6941·6
 2010 03 1741.6
 2010 02 7740.6
 2010 01 3241.4
 2009 12  2741.7
 2009 11  4741.4
 2009 10  1541.2
 2009 09  2240.5
 2009 08  7941·1
 2009 07  9041.4
 2009 06  5541·1
 2009 05  141.5
 2009 04  2541·8
 2009 03  7841·7
 2009 02  6241.2
 2009 01  6241·3
 2008 12 9042·1
 2008 11 6742·0
 2008 10 2442.6
 2008 09 2541·9
 2008 08 2541·3
 2008 07 4041·7
 2008 06 5142·3
 2008 05 3441.9
 2008 04 542.0
 2008 03 242.2
 2008 02 8442·3
 2008 01 5842.3
 2007 12  3142·2
 2007 11  8642.5
 2007 10  8542.0
 2007 09  9242·1
 2007 08  2841.7
 2007 07  4941·7
 2007 06  4142.3
 2007 05  5342.4
 2007 04  4741·9
 2007 03  7143.0
 2007 02  6542·0
 2007 01  8742.2
 2006 12 6242·6
 2006 11 5942·4
 2006 10 9642.3
 2006 09 6342.4
 2006 08 7442.3
 2006 07 4642.3
 2006 06 9742·4
 2006 05 7542.5
 2006 04 941.7
 2006 03 8742.2
 2006 02 5442.2
 2006 01 4141·9
 2005 12  1742·3
 2005 11  6542.4
 2005 10  8242.4
 2005 09  742.2
 2005 08  7442.1
 2005 07  8641.9
 2005 06  1742·0
 2005 05  4042·1
 2005 04  7942·2
 2005 03  8141·9
 2005 02  2342·1
 2005 01  3741.7
 2004 12 5842·3
 2004 11 742.2
 2004 10 8842.8
 2004 09 1442·2
 2004 08 6241.7
 2004 07 4741.7
 2004 06 2541.3
 2004 05 1742.1
 2004 04 6642.3
 2004 03 642.1
 2004 02 7142.1
 2004 01 1541·9
 2003 12  7042.3
 2003 11  1642·3
 2003 10  8941·9
 2003 09  242.2
 2003 08  042·0
 2003 07  3441·9
 2003 06  6842.6
 2003 05  9742·5
 2003 04  642.4
 2003 03  4242.1
 2003 02  2042.1
 2003 01  4442·2
 2002 12 6342.1
 2002 11 4642·3
 2002 10 8342.1
 2002 09 1241.8
 2002 08 7242·4
 2002 07 7742·3
 2002 06 2042·5
 2002 05 9642.4
 2002 04 5942·6
 2002 03 9342·4
 2002 02 1842.6
 2002 01 1442.0
 2001 12  7342·0
 2001 11  7542.0
 2001 10  9241.7
 2001 09  1141.6
 2001 08  9042·5
 2001 07  3042.3
 2001 06  7842.4
 2001 05  5642.6
 2001 04  1142.2
 2001 03  8942·3
 2001 02  4042.6
 2001 01  4441.6
 2000 12 6142.4
 2000 11 942·7
 2000 10 6542·6
 2000 09 9243·1
 2000 08 8942·7
 2000 07 7142·6
 2000 06 6642·6
 2000 05 4543.0
 2000 04 7343·0
 2000 03 8342·5
 2000 02 8242·8
 2000 01 7342·2
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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: Average Hours, At Work in Leisure and Hospitality Industries, Wage and Salary Workers, Persons Who Usually Work Full Time: 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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