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 Series Title: Employed: Wage and salary workers, Real estate and rental and leasing, Men: NSA
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 2000 01 161245.
 2000 02 671273.
 2000 03 601298·
 2000 04 51251.
 2000 05 351192·
 2000 06 831189.
 2000 07 891217.
 2000 08 191200.
 2000 09 201149.
 2000 10 981187·
 2000 11 191096·
 2000 12 311115.
 2001 01  221231·
 2001 02  931216.
 2001 03  621248.
 2001 04  851270.
 2001 05  161291.
 2001 06  751275.
 2001 07  571275.
 2001 08  521201·
 2001 09  31181·
 2001 10  761195·
 2001 11  671191·
 2001 12  251175·
 2002 01 71199.
 2002 02 511201·
 2002 03 791182·
 2002 04 231268.
 2002 05 801243·
 2002 06 831298·
 2002 07 61356·
 2002 08 911263.
 2002 09 971212·
 2002 10 781204.
 2002 11 871263.
 2002 12 971271.
 2003 01  571279.
 2003 02  691225.
 2003 03  841169.
 2003 04  361257.
 2003 05  871313·
 2003 06  101309.
 2003 07  851341.
 2003 08  261343·
 2003 09  371324.
 2003 10  851313.
 2003 11  21391.
 2003 12  121399.
 2004 01 821296·
 2004 02 01310·
 2004 03 751305.
 2004 04 641267.
 2004 05 231334·
 2004 06 871374.
 2004 07 651479·
 2004 08 741351·
 2004 09 851305·
 2004 10 11370.
 2004 11 611282·
 2004 12 631380.
 2005 01  181344.
 2005 02  261452.
 2005 03  761479.
 2005 04  751357.
 2005 05  981380·
 2005 06  671386.
 2005 07  471370·
 2005 08  781414·
 2005 09  261378·
 2005 10  561400·
 2005 11  371358·
 2005 12  671366·
 2006 01 261346·
 2006 02 491353·
 2006 03 341346.
 2006 04 611335·
 2006 05 481333.
 2006 06 291349.
 2006 07 511356.
 2006 08 41399·
 2006 09 701368·
 2006 10 21492·
 2006 11 261454.
 2006 12 651501·
 2007 01  901452·
 2007 02  01363.
 2007 03  231438.
 2007 04  381444.
 2007 05  341454.
 2007 06  791327·
 2007 07  271335.
 2007 08  431443·
 2007 09  521431.
 2007 10  211455.
 2007 11  541420·
 2007 12  231368.
 2008 01 211243.
 2008 02 321279·
 2008 03 401292·
 2008 04 491315·
 2008 05 401387·
 2008 06 451387.
 2008 07 481378·
 2008 08 131403·
 2008 09 351339.
 2008 10 151342·
 2008 11 661330·
 2008 12 351350·
 2009 01  551369.
 2009 02  251363·
 2009 03  81332·
 2009 04  591284.
 2009 05  781294·
 2009 06  811316.
 2009 07  111271.
 2009 08  551298.
 2009 09  21236·
 2009 10  151279.
 2009 11  381240.
 2009 12  161288.
 2010 01 531306·
 2010 02 831278.
 2010 03 761284·
 2010 04 621233.
 2010 05 821170.
 2010 06 681240.
 2010 07 401197.
 2010 08 361174·
 2010 09 641204·
 2010 10 751236·
 2010 11 661244·
 2010 12 91295.
 2011 01  01225·
 2011 02  361262.
 2011 03  171254.
 2011 04  731266.
 2011 05  141192·
 2011 06  81181·
 2011 07  821154.
 2011 08  491210·
 2011 09  581286.
 2011 10  731292.
 2011 11  731395·
 2011 12  801371·
 2012 01 61323·
 2012 02 371324.
 2012 03 291362·
 2012 04 351294·
 2012 05 591334.
 2012 06 321299·
 2012 07 111207·
 2012 08 91228.
 2012 09 431222·
 2012 10 151256.
 2012 11 91298·
 2012 12 201302·
 2013 01  81223·
 2013 02  661242·
 2013 03  341316.
 2013 04  141345.
 2013 05  281401.
 2013 06  941290.
 2013 07  251249.
 2013 08  581315·
 2013 09  51323·
 2013 10  291370·
 2013 11  451388.
 2013 12  481343.
 2014 01 651295.
 2014 02 281266·
 2014 03 811336.
 2014 04 21259.
 2014 05 561297·
 2014 06 731437·
 2014 07 471375·
 2014 08 641423·
 2014 09 551429·
 2014 10 701360·
 2014 11 801361.
 2014 12 41353.
 2015 01  631311.
 2015 02  511277.
 2015 03  431387·
 2015 04  161309.
 2015 05  41370.
 2015 06  731461·
 2015 07  241526·
 2015 08  181489·
 2015 09  291487·
 2015 10  171395.
 2015 11  371298·
 2015 12  561349·
 2016 01 131344·
 2016 02 901343.
 2016 03 181502·
 2016 04 971569·
 2016 05 571507·
 2016 06 241555.
 2016 07 311503·
 2016 08 371465.
 2016 09 861484.
 2016 10 751576·
 2016 11 631536.
 2016 12 951462·
 2017 01  501456.
 2017 02  251553.
 2017 03  281555·
 2017 04  131528·
 2017 05  251481.
 2017 06  801388.
 2017 07  641501.


 2017 08  631471.
 2017 09  121507.
 2017 10  721538·
 2017 11  331427.
 2017 12  371442.
 2018 01 351493.
 2018 02 581457·
 2018 03 231454.
 2018 04 561407·
 2018 05 451405·
 2018 06 201530·
 2018 07 471645.
 2018 08 621515·
 2018 09 181514.
 2018 10 641472.
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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: Wage and salary workers, Real estate and rental and leasing, Men: 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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