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 Series Title: Employed: Self-employed Workers, Unincorporated, Real estate and rental and leasing: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 57357·
 2012 03 60384.
 2012 02 40416·
 2012 01 87406.
 2011 12  16436.
 2011 11  43385.
 2011 10  87409.
 2011 09  96428.
 2011 08  98406.
 2011 07  82413·
 2011 06  91354.
 2011 05  59364.
 2011 04  53347·
 2011 03  56365·
 2011 02  66398.
 2011 01  21373·
 2010 12 56391·
 2010 11 74339.
 2010 10 48354·
 2010 09 52350·
 2010 08 8342.
 2010 07 66405.
 2010 06 1398·
 2010 05 45461·
 2010 04 34461.
 2010 03 89431.
 2010 02 13462.
 2010 01 19393·
 2009 12  85367.
 2009 11  26396.
 2009 10  96410.
 2009 09  19415·
 2009 08  36421.
 2009 07  82409·
 2009 06  89371.
 2009 05  14367.
 2009 04  87380.
 2009 03  89427·
 2009 02  54449·
 2009 01  98453·
 2008 12 63417.
 2008 11 4398·
 2008 10 80399·
 2008 09 90439·
 2008 08 16440·
 2008 07 8475.
 2008 06 79433·
 2008 05 33448.
 2008 04 20493.
 2008 03 9459·
 2008 02 89466·
 2008 01 99443.
 2007 12  77420·
 2007 11  37438·
 2007 10  73407.
 2007 09  79461·
 2007 08  10447·
 2007 07  50480·
 2007 06  18544·
 2007 05  95463·
 2007 04  71526.
 2007 03  29556.
 2007 02  39554.
 2007 01  89565.
 2006 12 35517.
 2006 11 80486·
 2006 10 72513.
 2006 09 30482.
 2006 08 3476·
 2006 07 36469.
 2006 06 80529.
 2006 05 14554·
 2006 04 99543·
 2006 03 53545·
 2006 02 52498.
 2006 01 59518·
 2005 12  75502.
 2005 11  12460.
 2005 10  0469·
 2005 09  10418.
 2005 08  5404·
 2005 07  21459.
 2005 06  63479·
 2005 05  35472·
 2005 04  91499.
 2005 03  11482.
 2005 02  2517·
 2005 01  28544.
 2004 12 56509.
 2004 11 38534·
 2004 10 7530.
 2004 09 9470.
 2004 08 53471·
 2004 07 84503.
 2004 06 89518·
 2004 05 22489.
 2004 04 55512.
 2004 03 56462·
 2004 02 87436.
 2004 01 36418·
 2003 12  65445·
 2003 11  85482·
 2003 10  64483·
 2003 09  45469.
 2003 08  6501·
 2003 07  29468·
 2003 06  7458.
 2003 05  69414.
 2003 04  30423·
 2003 03  68411·
 2003 02  30425·
 2003 01  51454.
 2002 12 11446.
 2002 11 10416·
 2002 10 70403.
 2002 09 60380.
 2002 08 50442·
 2002 07 86438.
 2002 06 90421.
 2002 05 91389·
 2002 04 73345·
 2002 03 52369·
 2002 02 79400.
 2002 01 63398.
 2001 12  30392.
 2001 11  91425·
 2001 10  48394·
 2001 09  20381.
 2001 08  96385.
 2001 07  8360.
 2001 06  36391·
 2001 05  32410·
 2001 04  72445.
 2001 03  37465·
 2001 02  6448.
 2001 01  91433·
 2000 12 83384.
 2000 11 32418.
 2000 10 46396·
 2000 09 18411.
 2000 08 80397·
 2000 07 76404.
 2000 06 68449·
 2000 05 56442·
 2000 04 37439·
 2000 03 76414.
 2000 02 10438.
 2000 01 75412.
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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, Real estate and rental and leasing: 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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