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 Series Title: Employed: Self-employed Workers, Unincorporated, Real estate and rental and leasing, Women: NSA
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 2000 01 91187.
 2000 02 7191.
 2000 03 17177·
 2000 04 19195·
 2000 05 32207·
 2000 06 80234.
 2000 07 87200.
 2000 08 7189.
 2000 09 77196.
 2000 10 88181·
 2000 11 94172.
 2000 12 31161.
 2001 01  75198.
 2001 02  14200.
 2001 03  53196.
 2001 04  36185·
 2001 05  4185.
 2001 06  65169·
 2001 07  1159·
 2001 08  90180.
 2001 09  62193.
 2001 10  71198·
 2001 11  1205·
 2001 12  88179·
 2002 01 76186·
 2002 02 90201.
 2002 03 41194.
 2002 04 48186·
 2002 05 95186·
 2002 06 3198·
 2002 07 34213.
 2002 08 16216.
 2002 09 96180·
 2002 10 17218·
 2002 11 17206·
 2002 12 59224.
 2003 01  78226.
 2003 02  63188·
 2003 03  55172·
 2003 04  72183.
 2003 05  68196.
 2003 06  99251·
 2003 07  34267·
 2003 08  75258·
 2003 09  14231·
 2003 10  5228·
 2003 11  67219·
 2003 12  11191.
 2004 01 94180·
 2004 02 88186.
 2004 03 92209.
 2004 04 50241·
 2004 05 6254.
 2004 06 81267.
 2004 07 73237.
 2004 08 86217·
 2004 09 77204.
 2004 10 39215·
 2004 11 97221.
 2004 12 37218·
 2005 01  57250.
 2005 02  45251.
 2005 03  77235.
 2005 04  48219.
 2005 05  21222·
 2005 06  4217.
 2005 07  51215·
 2005 08  89200·
 2005 09  70197·
 2005 10  49219.
 2005 11  81217.
 2005 12  52235.
 2006 01 29250·
 2006 02 36259·
 2006 03 56279.
 2006 04 58293.
 2006 05 49309·
 2006 06 47278.
 2006 07 89236.
 2006 08 51239·
 2006 09 4220·
 2006 10 89253·
 2006 11 17240.
 2006 12 0255.
 2007 01  96284.
 2007 02  93292·
 2007 03  4275.
 2007 04  98260·
 2007 05  49233·
 2007 06  15248·
 2007 07  36249.
 2007 08  65235·
 2007 09  15252.
 2007 10  38236·
 2007 11  28222·
 2007 12  45191.
 2008 01 67198.
 2008 02 68208·
 2008 03 17222·
 2008 04 8238.
 2008 05 8212·
 2008 06 37206.
 2008 07 66243·
 2008 08 47229.
 2008 09 62206·
 2008 10 1200·
 2008 11 62192·
 2008 12 81198·
 2009 01  79192·
 2009 02  42209.
 2009 03  19205·
 2009 04  55177·
 2009 05  36161.
 2009 06  66143.
 2009 07  75157.
 2009 08  38190.
 2009 09  31189.
 2009 10  6185.
 2009 11  92188·
 2009 12  24162·
 2010 01 92164.
 2010 02 18236·
 2010 03 59199.
 2010 04 32221.
 2010 05 68237.
 2010 06 83193·
 2010 07 88190·
 2010 08 7169.
 2010 09 34136.
 2010 10 9159.
 2010 11 17152.
 2010 12 16205·
 2011 01  91184·
 2011 02  26211·
 2011 03  9209·
 2011 04  55197·
 2011 05  65190.
 2011 06  92189·
 2011 07  51184.
 2011 08  43188.
 2011 09  5201.
 2011 10  88196·
 2011 11  58174.
 2011 12  24214.
 2012 01 88193·
 2012 02 21193·
 2012 03 66187·
 2012 04 67175·
 2012 05 13174·
 2012 06 22197·
 2012 07 39182.
 2012 08 65215·
 2012 09 5250.
 2012 10 48210·
 2012 11 65225·
 2012 12 39201·
 2013 01  17152·
 2013 02  80143·
 2013 03  55180.
 2013 04  32215·
 2013 05  21210.
 2013 06  27238.
 2013 07  49248.
 2013 08  14250.
 2013 09  20230.
 2013 10  18225.
 2013 11  10198.
 2013 12  79174.
 2014 01 39168·
 2014 02 10184.
 2014 03 24169·
 2014 04 45176.
 2014 05 27149.
 2014 06 86181·
 2014 07 5193·
 2014 08 57175.
 2014 09 60222.
 2014 10 52208·
 2014 11 91233.
 2014 12 84235·
 2015 01  39184.
 2015 02  39196·
 2015 03  44184·
 2015 04  21154.
 2015 05  90173·
 2015 06  4151·
 2015 07  54167·
 2015 08  86176.
 2015 09  61184.
 2015 10  30208·
 2015 11  31190.
 2015 12  23196.
 2016 01 29215·
 2016 02 21238·
 2016 03 15228.
 2016 04 2247·
 2016 05 95210.
 2016 06 11206.
 2016 07 69195·
 2016 08 16145.
 2016 09 83150.
 2016 10 55158·
 2016 11 79219.
 2016 12 86224·
 2017 01  44205.
 2017 02  36212.
 2017 03  60238.
 2017 04  55208.
 2017 05  54226·
 2017 06  60232.
 2017 07  48271.


 2017 08  92271·
 2017 09  12260·
 2017 10  58218.
 2017 11  8179·
 2017 12  91199.
 2018 01 44230·
 2018 02 88211·
 2018 03 26209·
 2018 04 71222.
 2018 05 1220.
 2018 06 31211·
 2018 07 15277·
 2018 08 78270.
 2018 09 58223·
 2018 10 93236·
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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, Women: 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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