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 Series Title: Employment Level: Office and Administrative Support 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 67573.
 2012 03 73542·
 2012 02 65552.
 2012 01 51520.
 2011 12  66517·
 2011 11  44620.
 2011 10  23645.
 2011 09  69631.
 2011 08  31699·
 2011 07  14668·
 2011 06  82624·
 2011 05  86591.
 2011 04  13505.
 2011 03  64542·
 2011 02  55520.
 2011 01  46524.
 2010 12 87610.
 2010 11 0610.
 2010 10 80627·
 2010 09 17625·
 2010 08 53672.
 2010 07 55649.
 2010 06 19657·
 2010 05 95616·
 2010 04 37577·
 2010 03 85581·
 2010 02 61605·
 2010 01 98575.
 2009 12  90598.
 2009 11  72584.
 2009 10  18598.
 2009 09  70641.
 2009 08  86642·
 2009 07  22622.
 2009 06  29684·
 2009 05  80687.
 2009 04  26674.
 2009 03  67648·
 2009 02  55647.
 2009 01  24615.
 2008 12 36603.
 2008 11 63618.
 2008 10 86630.
 2008 09 19655·
 2008 08 66630·
 2008 07 93633·
 2008 06 33624.
 2008 05 10677.
 2008 04 91688·
 2008 03 63610·
 2008 02 36663.
 2008 01 66664.
 2007 12  11667·
 2007 11  4669·
 2007 10  56678·
 2007 09  81685·
 2007 08  53633·
 2007 07  73667.
 2007 06  81618·
 2007 05  75589.
 2007 04  66551·
 2007 03  52625·
 2007 02  25614.
 2007 01  91582.
 2006 12 25595·
 2006 11 48591.
 2006 10 26535.
 2006 09 99527.
 2006 08 32622.
 2006 07 92663.
 2006 06 46686.
 2006 05 93632·
 2006 04 12638.
 2006 03 40601.
 2006 02 73560·
 2006 01 91560·
 2005 12  14581.
 2005 11  75594·
 2005 10  20556.
 2005 09  39560·
 2005 08  15629·
 2005 07  2638·
 2005 06  24624.
 2005 05  5588.
 2005 04  15579.
 2005 03  55562·
 2005 02  50564·
 2005 01  83609.
 2004 12 39621.
 2004 11 88574·
 2004 10 85585.
 2004 09 92598·
 2004 08 37640.
 2004 07 85604·
 2004 06 41554·
 2004 05 77524·
 2004 04 85523.
 2004 03 51582·
 2004 02 56529·
 2004 01 7546·
 2003 12  84555.
 2003 11  18557·
 2003 10  94553.
 2003 09  76530·
 2003 08  58607.
 2003 07  43623·
 2003 06  43623.
 2003 05  3594.
 2003 04  59559.
 2003 03  8598·
 2003 02  14551.
 2003 01  32527.
 2002 12 61546.
 2002 11 19559.
 2002 10 47577.
 2002 09 32642·
 2002 08 65670.
 2002 07 7674.
 2002 06 3675·
 2002 05 98676·
 2002 04 96606·
 2002 03 30604·
 2002 02 71599.
 2002 01 49628·
 2001 12  4675.
 2001 11  69615·
 2001 10  64606·
 2001 09  28661.
 2001 08  66715.
 2001 07  31688·
 2001 06  20654·
 2001 05  5610·
 2001 04  81601.
 2001 03  47605·
 2001 02  1616·
 2001 01  74618·
 2000 12 76640·
 2000 11 74615·
 2000 10 96603·
 2000 09 54654.
 2000 08 99667·
 2000 07 93709.
 2000 06 17672.
 2000 05 90677.
 2000 04 27604.
 2000 03 12597.
 2000 02 2557·
 2000 01 50591.
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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: Office and Administrative Support 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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