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 Series Title: Employment Level: Production Occupations in Leisure and Hospitality Industry: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 9499.
 2012 03 19103.
 2012 02 55145·
 2012 01 43130.
 2011 12  46130.
 2011 11  33135.
 2011 10  70134.
 2011 09  56123.
 2011 08  71118·
 2011 07  51114.
 2011 06  92105·
 2011 05  7590.
 2011 04  19110.
 2011 03  56113.
 2011 02  34111.
 2011 01  43118.
 2010 12 6594.
 2010 11 54115.
 2010 10 35130·
 2010 09 29133.
 2010 08 10121·
 2010 07 77112·
 2010 06 56125·
 2010 05 28101.
 2010 04 79108·
 2010 03 81111.
 2010 02 8686·
 2010 01 5790.
 2009 12  23110.
 2009 11  48103.
 2009 10  37115.
 2009 09  6398·
 2009 08  1786·
 2009 07  84116.
 2009 06  4896·
 2009 05  1393·
 2009 04  6187.
 2009 03  2295·
 2009 02  8195.
 2009 01  2116·
 2008 12 80139.
 2008 11 17134.
 2008 10 25115.
 2008 09 49107·
 2008 08 26102·
 2008 07 5299.
 2008 06 91104.
 2008 05 99117·
 2008 04 73139·
 2008 03 33152·
 2008 02 19130.
 2008 01 20131.
 2007 12  22193.
 2007 11  92196·
 2007 10  71165·
 2007 09  6129.
 2007 08  99128·
 2007 07  85103·
 2007 06  35117.
 2007 05  7698.
 2007 04  5394.
 2007 03  95109.
 2007 02  23104·
 2007 01  76123.
 2006 12 60149·
 2006 11 27125.
 2006 10 74139·
 2006 09 73137·
 2006 08 21121·
 2006 07 13136·
 2006 06 50108·
 2006 05 63103.
 2006 04 60126·
 2006 03 10121·
 2006 02 40109·
 2006 01 63126·
 2005 12  29128.
 2005 11  0138·
 2005 10  57136.
 2005 09  19128.
 2005 08  2100.
 2005 07  8988·
 2005 06  3783·
 2005 05  9992·
 2005 04  8099.
 2005 03  985.
 2005 02  4497.
 2005 01  9896.
 2004 12 89136.
 2004 11 17103.
 2004 10 67114.
 2004 09 35105.
 2004 08 78116·
 2004 07 93119·
 2004 06 17106.
 2004 05 53111·
 2004 04 2495·
 2004 03 46122.
 2004 02 33137.
 2004 01 23128.
 2003 12  26114.
 2003 11  6102.
 2003 10  78104.
 2003 09  3795·
 2003 08  10146.
 2003 07  30141·
 2003 06  39144·
 2003 05  16142·
 2003 04  27126.
 2003 03  0129·
 2003 02  30119.
 2003 01  4118.
 2002 12 51141.
 2002 11 22116·
 2002 10 88124.
 2002 09 69136.
 2002 08 84154·
 2002 07 28143.
 2002 06 76169·
 2002 05 5160.
 2002 04 49177.
 2002 03 75181.
 2002 02 82171·
 2002 01 33142.
 2001 12  99173·
 2001 11  44145.
 2001 10  20154.
 2001 09  95143.
 2001 08  9127.
 2001 07  42131.
 2001 06  26130·
 2001 05  62150·
 2001 04  77172.
 2001 03  1183·
 2001 02  64190·
 2001 01  27186.
 2000 12 31211·
 2000 11 77203·
 2000 10 21167·
 2000 09 9140·
 2000 08 21141.
 2000 07 52150.
 2000 06 12145.
 2000 05 53168.
 2000 04 21173·
 2000 03 32147·
 2000 02 72153.
 2000 01 27159·
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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: Employment Level: Production Occupations in Leisure and Hospitality Industry: 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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