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 Series Title: Employed: Leisure and hospitality, Hispanic or Latino: NSA
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 2012 04 222977.
 2012 03 482835.
 2012 02 632761.
 2012 01 582779.
 2011 12  472626.
 2011 11  472686·
 2011 10  762677·
 2011 09  822571·
 2011 08  952472.
 2011 07  12490.
 2011 06  462406·
 2011 05  612437.
 2011 04  152371·
 2011 03  912303·
 2011 02  862330.
 2011 01  392501·
 2010 12 842529·
 2010 11 242372.
 2010 10 342452·
 2010 09 852499.
 2010 08 22536·
 2010 07 322614.
 2010 06 522422.
 2010 05 942522·
 2010 04 942470.
 2010 03 712397·
 2010 02 302373·
 2010 01 842224·
 2009 12  102296·
 2009 11  232297.
 2009 10  792441·
 2009 09  992408·
 2009 08  262557.
 2009 07  952692·
 2009 06  372589.
 2009 05  102472·
 2009 04  432415·
 2009 03  172344·
 2009 02  682362·
 2009 01  92338·
 2008 12 852372·
 2008 11 482517·
 2008 10 592411.
 2008 09 172258·
 2008 08 32435·
 2008 07 682451·
 2008 06 242349.
 2008 05 762384·
 2008 04 732260.
 2008 03 842249·
 2008 02 992284·
 2008 01 572296·
 2007 12  952396·
 2007 11  282483.
 2007 10  492500.
 2007 09  532383.
 2007 08  942440.
 2007 07  572355.
 2007 06  602463.
 2007 05  842394·
 2007 04  212379·
 2007 03  512410.
 2007 02  462338·
 2007 01  942378·
 2006 12 512395·
 2006 11 182417·
 2006 10 452425.
 2006 09 512331.
 2006 08 842449·
 2006 07 902497·
 2006 06 192415.
 2006 05 512312·
 2006 04 462294.
 2006 03 222261·
 2006 02 562258·
 2006 01 112271.
 2005 12  872270·
 2005 11  972239.
 2005 10  702165·
 2005 09  772068·
 2005 08  832265·
 2005 07  212269·
 2005 06  982213.
 2005 05  182367.
 2005 04  342228.
 2005 03  272151.
 2005 02  32157·
 2005 01  272094·
 2004 12 652141.
 2004 11 692074·
 2004 10 742068.
 2004 09 241980·
 2004 08 272066.
 2004 07 312166·
 2004 06 222110.
 2004 05 522116.
 2004 04 962037.
 2004 03 192093.
 2004 02 852094·
 2004 01 821989·
 2003 12  711982·
 2003 11  641906·
 2003 10  281901.
 2003 09  71906.
 2003 08  771925·
 2003 07  232266·
 2003 06  372286.
 2003 05  462288·
 2003 04  672265.
 2003 03  782162.
 2003 02  252003·
 2003 01  432079.
 2002 12 142012·
 2002 11 351935.
 2002 10 311985.
 2002 09 681883.
 2002 08 191941.
 2002 07 272072.
 2002 06 162026·
 2002 05 152034·
 2002 04 72019·
 2002 03 91976.
 2002 02 701947.
 2002 01 31948·
 2001 12  301830.
 2001 11  631880.
 2001 10  51936·
 2001 09  761906.
 2001 08  622028·
 2001 07  962104.
 2001 06  592141.
 2001 05  21930.
 2001 04  32034·
 2001 03  402171.
 2001 02  952038·
 2001 01  771952.
 2000 12 801998·
 2000 11 511906·
 2000 10 01959.
 2000 09 201967.
 2000 08 421865·
 2000 07 111754.
 2000 06 881792·
 2000 05 741772.
 2000 04 651807.
 2000 03 271772.
 2000 02 961695·
 2000 01 81803·
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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: Leisure and hospitality, Hispanic or Latino: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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