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 Series Title: Employed: Self-employed Workers, Unincorporated, Leisure and hospitality, Men: NSA
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 2012 04 73379·
 2012 03 51341.
 2012 02 42311·
 2012 01 47320·
 2011 12  95279·
 2011 11  13305.
 2011 10  33317.
 2011 09  15322.
 2011 08  2396.
 2011 07  92373.
 2011 06  44389.
 2011 05  1381.
 2011 04  44395.
 2011 03  70401.
 2011 02  87375.
 2011 01  48342.
 2010 12 98358·
 2010 11 53342.
 2010 10 1356·
 2010 09 25330·
 2010 08 63325.
 2010 07 74375·
 2010 06 48372.
 2010 05 28345·
 2010 04 64335.
 2010 03 88300·
 2010 02 16305·
 2010 01 74314.
 2009 12  52308.
 2009 11  78354.
 2009 10  18372·
 2009 09  9399·
 2009 08  3358·
 2009 07  49335·
 2009 06  93402·
 2009 05  1352·
 2009 04  17356.
 2009 03  35354·
 2009 02  2290.
 2009 01  44298.
 2008 12 19353.
 2008 11 91349.
 2008 10 34378.
 2008 09 58418.
 2008 08 59412·
 2008 07 98405·
 2008 06 2393.
 2008 05 86376.
 2008 04 14386·
 2008 03 65390·
 2008 02 43402.
 2008 01 99380·
 2007 12  82375·
 2007 11  22343·
 2007 10  21386.
 2007 09  89377·
 2007 08  91400·
 2007 07  25424·
 2007 06  23403·
 2007 05  76380·
 2007 04  90402.
 2007 03  57363.
 2007 02  62374.
 2007 01  5384·
 2006 12 54395·
 2006 11 25403·
 2006 10 77346·
 2006 09 44386.
 2006 08 85393.
 2006 07 59394·
 2006 06 29412·
 2006 05 87421·
 2006 04 6347·
 2006 03 16345.
 2006 02 7328·
 2006 01 54286·
 2005 12  70347.
 2005 11  79327·
 2005 10  25340·
 2005 09  89390·
 2005 08  50362·
 2005 07  54394·
 2005 06  18419·
 2005 05  61372·
 2005 04  48374·
 2005 03  71320·
 2005 02  52295·
 2005 01  64280.
 2004 12 89364.
 2004 11 89368.
 2004 10 13359.
 2004 09 17357·
 2004 08 23359.
 2004 07 89385·
 2004 06 14368·
 2004 05 65319·
 2004 04 26308.
 2004 03 77319·
 2004 02 94363.
 2004 01 76350.
 2003 12  98353·
 2003 11  85363.
 2003 10  14365·
 2003 09  45417·
 2003 08  64399·
 2003 07  69412.
 2003 06  64393·
 2003 05  90413.
 2003 04  76415·
 2003 03  12378.
 2003 02  56382·
 2003 01  57402.
 2002 12 7348.
 2002 11 19380·
 2002 10 27347·
 2002 09 13370·
 2002 08 59385.
 2002 07 23344.
 2002 06 41357·
 2002 05 54355·
 2002 04 57339·
 2002 03 81283.
 2002 02 86285.
 2002 01 98368.
 2001 12  52351·
 2001 11  72368·
 2001 10  74357.
 2001 09  90334.
 2001 08  18316.
 2001 07  6320·
 2001 06  44307·
 2001 05  98331·
 2001 04  57333·
 2001 03  12334.
 2001 02  58341.
 2001 01  17291·
 2000 12 93274.
 2000 11 49314·
 2000 10 4333·
 2000 09 66335·
 2000 08 77294·
 2000 07 96329.
 2000 06 95369.
 2000 05 89408·
 2000 04 85409·
 2000 03 62411.
 2000 02 69364·
 2000 01 55353·
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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: Self-employed Workers, Unincorporated, Leisure and hospitality, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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