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 Series Title: Employed: Self-employed Workers, Unincorporated, Real estate and rental and leasing: NSA
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 2000 01 2412.
 2000 02 67438.
 2000 03 94414·
 2000 04 22439·
 2000 05 17442·
 2000 06 44449.
 2000 07 72404.
 2000 08 99397·
 2000 09 4411.
 2000 10 25396.
 2000 11 56418·
 2000 12 80384·
 2001 01  15433.
 2001 02  92448.
 2001 03  61465.
 2001 04  10445.
 2001 05  23410·
 2001 06  53391.
 2001 07  24360.
 2001 08  59385.
 2001 09  31381.
 2001 10  38394.
 2001 11  7425.
 2001 12  20392.
 2002 01 62398·
 2002 02 5400·
 2002 03 0369.
 2002 04 12345.
 2002 05 69389.
 2002 06 34421·
 2002 07 14438.
 2002 08 80442.
 2002 09 25380.
 2002 10 33403·
 2002 11 87416·
 2002 12 93446.
 2003 01  31454·
 2003 02  33425·
 2003 03  83411.
 2003 04  45423.
 2003 05  13414·
 2003 06  91458·
 2003 07  89468.
 2003 08  54501.
 2003 09  22469.
 2003 10  88483·
 2003 11  18482.
 2003 12  66445·
 2004 01 31418·
 2004 02 32436·
 2004 03 8462·
 2004 04 49512·
 2004 05 43489.
 2004 06 53518.
 2004 07 23503.
 2004 08 98471.
 2004 09 82470·
 2004 10 9530.
 2004 11 49534·
 2004 12 31509.
 2005 01  98544·
 2005 02  81517.
 2005 03  0482·
 2005 04  93499·
 2005 05  68472.
 2005 06  75479·
 2005 07  13459·
 2005 08  53404.
 2005 09  91418·
 2005 10  24469·
 2005 11  52460.
 2005 12  5502·
 2006 01 93518.
 2006 02 84498·
 2006 03 5545·
 2006 04 68543·
 2006 05 24554·
 2006 06 36529.
 2006 07 83469·
 2006 08 86476.
 2006 09 60482.
 2006 10 88513·
 2006 11 26486.
 2006 12 29517·
 2007 01  1565.
 2007 02  70554·
 2007 03  96556·
 2007 04  91526.
 2007 05  72463.
 2007 06  40544·
 2007 07  81480·
 2007 08  90447.
 2007 09  24461.
 2007 10  80407.
 2007 11  94438·
 2007 12  71420.
 2008 01 32443.
 2008 02 95466.
 2008 03 73459·
 2008 04 3493·
 2008 05 97448·
 2008 06 17433.
 2008 07 80475.
 2008 08 80440.
 2008 09 43439·
 2008 10 4399·
 2008 11 4398·
 2008 12 21417.
 2009 01  22453·
 2009 02  36449·
 2009 03  57427·
 2009 04  71380.
 2009 05  9367·
 2009 06  21371.
 2009 07  77409·
 2009 08  99421.
 2009 09  4415·
 2009 10  89410·
 2009 11  28396.
 2009 12  98367.
 2010 01 32393.
 2010 02 99462·
 2010 03 97431·
 2010 04 88461.
 2010 05 45461·
 2010 06 30398·
 2010 07 96405.
 2010 08 13342.
 2010 09 17350·
 2010 10 91354.
 2010 11 65339.
 2010 12 42391.
 2011 01  48373·
 2011 02  12398·
 2011 03  66365·
 2011 04  69347·
 2011 05  64364.
 2011 06  50354·
 2011 07  86413·
 2011 08  14406·
 2011 09  16428.
 2011 10  88409·
 2011 11  38385·
 2011 12  20436·
 2012 01 79406.
 2012 02 30416·
 2012 03 61384·
 2012 04 57357·
 2012 05 53366·
 2012 06 10393·
 2012 07 18411·
 2012 08 19454.
 2012 09 64493.
 2012 10 84419.
 2012 11 95446.
 2012 12 25415.
 2013 01  62323.
 2013 02  33340.
 2013 03  7385.
 2013 04  19431.
 2013 05  22445·
 2013 06  64474.
 2013 07  91503.
 2013 08  70512·
 2013 09  45488.
 2013 10  9451·
 2013 11  10415·
 2013 12  73394·
 2014 01 56390.
 2014 02 24435·
 2014 03 51392.
 2014 04 46414.
 2014 05 6384·
 2014 06 91410.
 2014 07 28385·
 2014 08 34371·
 2014 09 70440·
 2014 10 17408.
 2014 11 79451·
 2014 12 6415·
 2015 01  48383.
 2015 02  33397.
 2015 03  66372·
 2015 04  55397.
 2015 05  66468.
 2015 06  96393.
 2015 07  77400.
 2015 08  2367.
 2015 09  74357·
 2015 10  88390.
 2015 11  26401·
 2015 12  90392.
 2016 01 48430.
 2016 02 14481·
 2016 03 50483.
 2016 04 88514.
 2016 05 88458·
 2016 06 8481.
 2016 07 12458·
 2016 08 91354.
 2016 09 19379.
 2016 10 25345.
 2016 11 0401·
 2016 12 18431·
 2017 01  91408·
 2017 02  47415·
 2017 03  26445·
 2017 04  12414.
 2017 05  81447.
 2017 06  81463·
 2017 07  29482·


 2017 08  43464.
 2017 09  89480.
 2017 10  58428.
 2017 11  72387·
 2017 12  6443.
 2018 01 39469·
 2018 02 35490.
 2018 03 43517.
 2018 04 18537.
 2018 05 82510·
 2018 06 94482.
 2018 07 53506·
 2018 08 25499·
 2018 09 95436·
 2018 10 42458·
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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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