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 Series Title: Number Unemployed for 27 Weeks and over, Leisure and Hospitality: NSA
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 2012 04 63540·
 2012 03 31566.
 2012 02 63554.
 2012 01 50595.
 2011 12  7546·
 2011 11  48563·
 2011 10  94518.
 2011 09  93559·
 2011 08  73533.
 2011 07  21569.
 2011 06  83537.
 2011 05  91581.
 2011 04  12597·
 2011 03  30754.
 2011 02  42706·
 2011 01  87693·
 2010 12 0632·
 2010 11 82622.
 2010 10 8554·
 2010 09 52630·
 2010 08 36593·
 2010 07 8603.
 2010 06 46649·
 2010 05 80684.
 2010 04 47731.
 2010 03 66637·
 2010 02 42563.
 2010 01 88594.
 2009 12  82548.
 2009 11  37530·
 2009 10  10525·
 2009 09  23500.
 2009 08  17500·
 2009 07  27457.
 2009 06  87420.
 2009 05  52422.
 2009 04  52405.
 2009 03  69396.
 2009 02  37343·
 2009 01  70294.
 2008 12 13253.
 2008 11 18276·
 2008 10 47244.
 2008 09 96210.
 2008 08 50167.
 2008 07 57151.
 2008 06 30172.
 2008 05 74187·
 2008 04 39167·
 2008 03 92155.
 2008 02 24167·
 2008 01 74199.
 2007 12  79175.
 2007 11  55179·
 2007 10  92122.
 2007 09  89143·
 2007 08  97147.
 2007 07  2139·
 2007 06  22119.
 2007 05  39109.
 2007 04  43142.
 2007 03  15141.
 2007 02  27144·
 2007 01  67141·
 2006 12 91106·
 2006 11 1153·
 2006 10 45111.
 2006 09 43116.
 2006 08 43143·
 2006 07 91128·
 2006 06 3798·
 2006 05 62129·
 2006 04 24182.
 2006 03 42166·
 2006 02 94192.
 2006 01 41101·
 2005 12  84117·
 2005 11  36151.
 2005 10  26119·
 2005 09  26139·
 2005 08  99125·
 2005 07  79126·
 2005 06  73118·
 2005 05  85113.
 2005 04  68162.
 2005 03  3183·
 2005 02  97216.
 2005 01  13202.
 2004 12 18167·
 2004 11 64124.
 2004 10 86145·
 2004 09 28141.
 2004 08 99179.
 2004 07 45181.
 2004 06 53209·
 2004 05 76153·
 2004 04 86162.
 2004 03 52213·
 2004 02 35198·
 2004 01 24160.
 2003 12  80149.
 2003 11  15165.
 2003 10  96166.
 2003 09  68159·
 2003 08  6182.
 2003 07  93176.
 2003 06  24175.
 2003 05  26180.
 2003 04  13178·
 2003 03  67140·
 2003 02  31182·
 2003 01  42142.
 2002 12 79151.
 2002 11 43121·
 2002 10 55141·
 2002 09 86119.
 2002 08 3110.
 2002 07 53139·
 2002 06 60139·
 2002 05 51166.
 2002 04 10140.
 2002 03 54112.
 2002 02 33133.
 2002 01 58123.
 2001 12  52106.
 2001 11  27135.
 2001 10  86107.
 2001 09  49110.
 2001 08  287.
 2001 07  7972.
 2001 06  5982.
 2001 05  9454.
 2001 04  6265·
 2001 03  42101.
 2001 02  1391.
 2001 01  8867.
 2000 12 58104·
 2000 11 7169·
 2000 10 3750·
 2000 09 4960·
 2000 08 3991·
 2000 07 5087·
 2000 06 4488.
 2000 05 2257·
 2000 04 8050.
 2000 03 8464·
 2000 02 7158.
 2000 01 7655·
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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: Number Unemployed for 27 Weeks and over, 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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