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 Series Title: Employed: Self-employed Workers, Unincorporated, Leisure and hospitality: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 33709.
 2012 03 78640.
 2012 02 39619.
 2012 01 4604·
 2011 12  89557·
 2011 11  9598.
 2011 10  83594·
 2011 09  59587·
 2011 08  68685.
 2011 07  94658·
 2011 06  84686.
 2011 05  70699·
 2011 04  19660.
 2011 03  15674·
 2011 02  55611·
 2011 01  79619.
 2010 12 19660·
 2010 11 80632·
 2010 10 34616·
 2010 09 56609·
 2010 08 68596·
 2010 07 19633.
 2010 06 84645·
 2010 05 96597·
 2010 04 91585·
 2010 03 89556.
 2010 02 93588.
 2010 01 18597·
 2009 12  39586.
 2009 11  72626.
 2009 10  73623.
 2009 09  64674.
 2009 08  86657·
 2009 07  75607·
 2009 06  63679·
 2009 05  6638·
 2009 04  34659·
 2009 03  29681.
 2009 02  25605.
 2009 01  37601.
 2008 12 8639.
 2008 11 91618.
 2008 10 48702·
 2008 09 75737·
 2008 08 57763.
 2008 07 42773.
 2008 06 43725.
 2008 05 66652.
 2008 04 59655.
 2008 03 90656·
 2008 02 50707.
 2008 01 78694.
 2007 12  12634·
 2007 11  65661·
 2007 10  31676.
 2007 09  6658.
 2007 08  42717.
 2007 07  25743.
 2007 06  73729·
 2007 05  68676.
 2007 04  0685.
 2007 03  50645.
 2007 02  91651.
 2007 01  9666.
 2006 12 61659·
 2006 11 49702.
 2006 10 21627.
 2006 09 97699·
 2006 08 25721.
 2006 07 51733·
 2006 06 26747.
 2006 05 28766.
 2006 04 19678.
 2006 03 15666.
 2006 02 95633·
 2006 01 20588·
 2005 12  91623.
 2005 11  21613.
 2005 10  40639·
 2005 09  17679.
 2005 08  18682.
 2005 07  77771.
 2005 06  99806.
 2005 05  89753.
 2005 04  1750.
 2005 03  13626.
 2005 02  36569.
 2005 01  29575·
 2004 12 63668.
 2004 11 87651.
 2004 10 37656·
 2004 09 57704.
 2004 08 56692.
 2004 07 80721·
 2004 06 16681.
 2004 05 17626.
 2004 04 56571·
 2004 03 99606.
 2004 02 11653.
 2004 01 78688·
 2003 12  62678·
 2003 11  76671·
 2003 10  85666·
 2003 09  34703.
 2003 08  0676.
 2003 07  66706·
 2003 06  25709.
 2003 05  5710·
 2003 04  21718·
 2003 03  52657·
 2003 02  45650·
 2003 01  33685·
 2002 12 99631.
 2002 11 41624.
 2002 10 81624·
 2002 09 90670.
 2002 08 35667.
 2002 07 64675·
 2002 06 99637·
 2002 05 68644·
 2002 04 55639·
 2002 03 77544.
 2002 02 84552·
 2002 01 87608.
 2001 12  9608·
 2001 11  62677·
 2001 10  50705·
 2001 09  90670.
 2001 08  72607·
 2001 07  27595.
 2001 06  35572.
 2001 05  49629·
 2001 04  45648.
 2001 03  2635·
 2001 02  2635·
 2001 01  55592.
 2000 12 53555·
 2000 11 44581.
 2000 10 38612·
 2000 09 28631·
 2000 08 46615.
 2000 07 35659·
 2000 06 57720.
 2000 05 14753.
 2000 04 0755·
 2000 03 82774·
 2000 02 97648·
 2000 01 80616·
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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: 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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