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 Series Title: Employed: Self-employed Workers, Unincorporated, Manufacturing, Men: NSA
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 2012 04 95193·
 2012 03 82189·
 2012 02 71195·
 2012 01 20186.
 2011 12  14197·
 2011 11  36216.
 2011 10  74178.
 2011 09  45161.
 2011 08  48134.
 2011 07  37147.
 2011 06  28155.
 2011 05  19204·
 2011 04  49218.
 2011 03  69205·
 2011 02  45192·
 2011 01  86157·
 2010 12 93201.
 2010 11 38204·
 2010 10 64225·
 2010 09 14213·
 2010 08 79234.
 2010 07 75219.
 2010 06 48201.
 2010 05 99178·
 2010 04 32186.
 2010 03 37203·
 2010 02 85245·
 2010 01 59244·
 2009 12  4229·
 2009 11  6195.
 2009 10  86208·
 2009 09  38229·
 2009 08  70223.
 2009 07  88189.
 2009 06  91203·
 2009 05  6197.
 2009 04  30207.
 2009 03  15223·
 2009 02  62219.
 2009 01  56202.
 2008 12 9188.
 2008 11 43178.
 2008 10 87178.
 2008 09 8186.
 2008 08 59192.
 2008 07 55201·
 2008 06 80200·
 2008 05 6203.
 2008 04 53205.
 2008 03 57192·
 2008 02 76194·
 2008 01 20208·
 2007 12  93192·
 2007 11  80214.
 2007 10  41216.
 2007 09  42197·
 2007 08  4189.
 2007 07  81209.
 2007 06  61215.
 2007 05  93214·
 2007 04  37223·
 2007 03  42232·
 2007 02  50235.
 2007 01  16221.
 2006 12 66218·
 2006 11 70199.
 2006 10 45206.
 2006 09 81183.
 2006 08 92199.
 2006 07 95205.
 2006 06 9205.
 2006 05 81237·
 2006 04 41227.
 2006 03 76240.
 2006 02 31243.
 2006 01 37231·
 2005 12  63224·
 2005 11  93211.
 2005 10  22172.
 2005 09  91177·
 2005 08  34161.
 2005 07  52186·
 2005 06  22211·
 2005 05  14227.
 2005 04  53219·
 2005 03  87225.
 2005 02  92223.
 2005 01  99241·
 2004 12 46217·
 2004 11 52224.
 2004 10 21228·
 2004 09 66200·
 2004 08 64211.
 2004 07 31233.
 2004 06 21188.
 2004 05 58213.
 2004 04 82224.
 2004 03 29218·
 2004 02 32221·
 2004 01 45217.
 2003 12  0215·
 2003 11  78191.
 2003 10  14220·
 2003 09  21223.
 2003 08  44217.
 2003 07  36213.
 2003 06  57232.
 2003 05  5202.
 2003 04  64211·
 2003 03  82229.
 2003 02  73218.
 2003 01  41221.
 2002 12 35216·
 2002 11 25225·
 2002 10 0236·
 2002 09 98232.
 2002 08 59206.
 2002 07 96206·
 2002 06 1204·
 2002 05 71199.
 2002 04 59175.
 2002 03 51205.
 2002 02 64198·
 2002 01 79197·
 2001 12  88225·
 2001 11  72202.
 2001 10  1186.
 2001 09  65232.
 2001 08  19263.
 2001 07  65287.
 2001 06  51252.
 2001 05  99222.
 2001 04  54212·
 2001 03  63237·
 2001 02  77213.
 2001 01  75211·
 2000 12 17211.
 2000 11 22191.
 2000 10 66182·
 2000 09 12206.
 2000 08 60243.
 2000 07 24213.
 2000 06 32248.
 2000 05 55259.
 2000 04 58229·
 2000 03 75195·
 2000 02 11190·
 2000 01 72197·
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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, Manufacturing, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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