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 Series Title: Employed: Wage and salary workers, Leisure and hospitality: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 9212358.
 2012 03 4111806.
 2012 02 4411698.
 2012 01 1211738·
 2011 12  7611830·
 2011 11  7311906·
 2011 10  3912384·
 2011 09  4112139.
 2011 08  2712371·
 2011 07  312949.
 2011 06  3412648·
 2011 05  6912209·
 2011 04  9511630.
 2011 03  1411466·
 2011 02  4311455·
 2011 01  3911544·
 2010 12 5511839.
 2010 11 1211834.
 2010 10 312068·
 2010 09 2112309·
 2010 08 712889·
 2010 07 2812727·
 2010 06 7912038.
 2010 05 1011803·
 2010 04 7711488·
 2010 03 1911381.
 2010 02 5611337.
 2010 01 2411217·
 2009 12  1611633.
 2009 11  6611607.
 2009 10  5011764·
 2009 09  711873.
 2009 08  9812566·
 2009 07  7713246.
 2009 06  9612825.
 2009 05  2912260.
 2009 04  2412061.
 2009 03  8311673·
 2009 02  5811801·
 2009 01  8311787·
 2008 12 2011864.
 2008 11 4011999·
 2008 10 2511925.
 2008 09 8911913.
 2008 08 3512400·
 2008 07 3112702.
 2008 06 812343.
 2008 05 9112175.
 2008 04 4612088·
 2008 03 6211860.
 2008 02 4711779·
 2008 01 5811679.
 2007 12  5311642·
 2007 11  6411561·
 2007 10  311556·
 2007 09  8411641.
 2007 08  8012055.
 2007 07  9412332·
 2007 06  6412235.
 2007 05  8911822.
 2007 04  7911445.
 2007 03  3411673.
 2007 02  4411417·
 2007 01  1611212.
 2006 12 2511505.
 2006 11 9111401·
 2006 10 8111547·
 2006 09 3511276·
 2006 08 1812130·
 2006 07 9512474·
 2006 06 3612260·
 2006 05 3911471·
 2006 04 8311153·
 2006 03 410936·
 2006 02 9910675·
 2006 01 4910586·
 2005 12  7211171.
 2005 11  011269·
 2005 10  8211292·
 2005 09  711105.
 2005 08  5812128.
 2005 07  8912223.
 2005 06  2312108.
 2005 05  8411706.
 2005 04  4410955.
 2005 03  211027.
 2005 02  8510788.
 2005 01  7310835·
 2004 12 5410973.
 2004 11 9711059·
 2004 10 5511183.
 2004 09 9310932·
 2004 08 3811561.
 2004 07 5411972·
 2004 06 4711780.
 2004 05 9011479.
 2004 04 7211198.
 2004 03 8110934·
 2004 02 9910553.
 2004 01 3010216.
 2003 12  5710258.
 2003 11  910403.
 2003 10  7310627·
 2003 09  1010530·
 2003 08  1711160·
 2003 07  9511685·
 2003 06  5711657·
 2003 05  4811458·
 2003 04  310972·
 2003 03  2110975.
 2003 02  6410640.
 2003 01  8810552·
 2002 12 9110677.
 2002 11 9310298.
 2002 10 3310677·
 2002 09 9910738·
 2002 08 8111431.
 2002 07 4211705.
 2002 06 2511541·
 2002 05 7611189·
 2002 04 9810771.
 2002 03 2610845.
 2002 02 2910584·
 2002 01 3710447.
 2001 12  9310474.
 2001 11  2610400.
 2001 10  5810380·
 2001 09  2810758.
 2001 08  4011170·
 2001 07  4911852·
 2001 06  5011448.
 2001 05  1610604·
 2001 04  4210608·
 2001 03  2510486.
 2001 02  6710486·
 2001 01  9610067.
 2000 12 2210527.
 2000 11 1310412.
 2000 10 9710358.
 2000 09 8710567.
 2000 08 3111150.
 2000 07 9411254·
 2000 06 5411050·
 2000 05 3310499.
 2000 04 4510318·
 2000 03 7410064.
 2000 02 759942.
 2000 01 49994·
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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: 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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