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 Series Title: Employed: Wage and salary workers, Leisure and hospitality, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 906224.
 2012 03 205991.
 2012 02 775833.
 2012 01 835949·
 2011 12  845841.
 2011 11  276046.
 2011 10  626302.
 2011 09  696166.
 2011 08  76412·
 2011 07  966547.
 2011 06  116368.
 2011 05  156083·
 2011 04  105841·
 2011 03  75915·
 2011 02  365786.
 2011 01  675992·
 2010 12 666147·
 2010 11 676196·
 2010 10 756331.
 2010 09 946391.
 2010 08 786673.
 2010 07 86478.
 2010 06 916127·
 2010 05 895934.
 2010 04 705832·
 2010 03 875858·
 2010 02 725975·
 2010 01 716068.
 2009 12  946154·
 2009 11  846147.
 2009 10  316199.
 2009 09  866015·
 2009 08  236417·
 2009 07  86666.
 2009 06  56629·
 2009 05  26380·
 2009 04  596281·
 2009 03  896103.
 2009 02  596121·
 2009 01  126120.
 2008 12 266203·
 2008 11 846258·
 2008 10 786198·
 2008 09 376187·
 2008 08 776425.
 2008 07 756591·
 2008 06 786346·
 2008 05 216338.
 2008 04 846310.
 2008 03 686123·
 2008 02 946150.
 2008 01 325982.
 2007 12  506092.
 2007 11  966059·
 2007 10  915998.
 2007 09  656157.
 2007 08  06285·
 2007 07  146489.
 2007 06  566410.
 2007 05  386121·
 2007 04  835817·
 2007 03  45871·
 2007 02  25845·
 2007 01  975659·
 2006 12 765808·
 2006 11 735729·
 2006 10 676011·
 2006 09 95904.
 2006 08 796243·
 2006 07 536533·
 2006 06 136464.
 2006 05 705933·
 2006 04 165818·
 2006 03 05601.
 2006 02 295527.
 2006 01 995374.
 2005 12  395601·
 2005 11  965691·
 2005 10  285847.
 2005 09  395874.
 2005 08  236312.
 2005 07  476404·
 2005 06  476307·
 2005 05  596035.
 2005 04  685641.
 2005 03  855710.
 2005 02  505543.
 2005 01  555551.
 2004 12 05658.
 2004 11 685600·
 2004 10 235655.
 2004 09 445543.
 2004 08 695941·
 2004 07 756101.
 2004 06 816131·
 2004 05 725910·
 2004 04 505840.
 2004 03 155657.
 2004 02 615419.
 2004 01 75253.
 2003 12  445296·
 2003 11  185398.
 2003 10  265550·
 2003 09  435548.
 2003 08  775897·
 2003 07  426034·
 2003 06  636014.
 2003 05  05937·
 2003 04  985708·
 2003 03  685734.
 2003 02  875444·
 2003 01  215338.
 2002 12 835481·
 2002 11 25317.
 2002 10 335512.
 2002 09 765520.
 2002 08 325886·
 2002 07 775932.
 2002 06 675781.
 2002 05 605554.
 2002 04 715375·
 2002 03 495469.
 2002 02 745362·
 2002 01 905361·
 2001 12  505383·
 2001 11  995407.
 2001 10  695428.
 2001 09  115610.
 2001 08  455874.
 2001 07  346181.
 2001 06  895886.
 2001 05  935420.
 2001 04  565357·
 2001 03  865374.
 2001 02  975406.
 2001 01  305292·
 2000 12 85549.
 2000 11 125400·
 2000 10 815392.
 2000 09 405567.
 2000 08 525812.
 2000 07 925995·
 2000 06 535787.
 2000 05 685415.
 2000 04 635322·
 2000 03 355128.
 2000 02 535075.
 2000 01 835180·
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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, 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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