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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 191245.
 2000 02 401273.
 2000 03 591298·
 2000 04 181251·
 2000 05 811192.
 2000 06 131189·
 2000 07 841217·
 2000 08 921200·
 2000 09 151149·
 2000 10 911187·
 2000 11 161096.
 2000 12 701115.
 2001 01  721231.
 2001 02  551216.
 2001 03  671248·
 2001 04  971270.
 2001 05  281291.
 2001 06  131275·
 2001 07  771275·
 2001 08  421201·
 2001 09  821181.
 2001 10  951195·
 2001 11  71191.
 2001 12  01175·
 2002 01 611199·
 2002 02 581201·
 2002 03 461182.
 2002 04 891268.
 2002 05 141243.
 2002 06 841298.
 2002 07 71356.
 2002 08 541263.
 2002 09 171212·
 2002 10 801204·
 2002 11 271263.
 2002 12 641271·
 2003 01  701279.
 2003 02  771225·
 2003 03  701169·
 2003 04  121257.
 2003 05  991313·
 2003 06  321309·
 2003 07  231341·
 2003 08  191343·
 2003 09  541324.
 2003 10  261313.
 2003 11  991391·
 2003 12  281399.
 2004 01 111296·
 2004 02 671310·
 2004 03 361305·
 2004 04 81267·
 2004 05 691334.
 2004 06 851374.
 2004 07 981479.
 2004 08 531351.
 2004 09 551305.
 2004 10 381370.
 2004 11 711282·
 2004 12 831380.
 2005 01  181344.
 2005 02  61452.
 2005 03  681479.
 2005 04  421357·
 2005 05  351380·
 2005 06  981386.
 2005 07  291370.
 2005 08  991414·
 2005 09  51378.
 2005 10  431400.
 2005 11  141358·
 2005 12  481366.
 2006 01 541346.
 2006 02 01353·
 2006 03 141346·
 2006 04 81335·
 2006 05 321333·
 2006 06 491349·
 2006 07 391356·
 2006 08 231399.
 2006 09 141368·
 2006 10 981492·
 2006 11 291454·
 2006 12 631501.
 2007 01  21452·
 2007 02  771363·
 2007 03  461438.
 2007 04  211444.
 2007 05  201454·
 2007 06  441327.
 2007 07  781335.
 2007 08  171443·
 2007 09  191431.
 2007 10  801455.
 2007 11  381420.
 2007 12  951368·
 2008 01 741243.
 2008 02 921279.
 2008 03 631292.
 2008 04 241315·
 2008 05 851387·
 2008 06 111387·
 2008 07 171378.
 2008 08 981403.
 2008 09 791339.
 2008 10 951342·
 2008 11 881330·
 2008 12 361350.
 2009 01  51369.
 2009 02  241363·
 2009 03  881332.
 2009 04  831284.
 2009 05  391294.
 2009 06  61316·
 2009 07  551271.
 2009 08  71298·
 2009 09  801236·
 2009 10  711279·
 2009 11  531240·
 2009 12  31288.
 2010 01 561306.
 2010 02 771278.
 2010 03 681284·
 2010 04 901233·
 2010 05 151170·
 2010 06 61240.
 2010 07 151197.
 2010 08 121174·
 2010 09 331204.
 2010 10 631236·
 2010 11 311244.
 2010 12 381295·
 2011 01  121225.
 2011 02  811262·
 2011 03  781254·
 2011 04  621266·
 2011 05  751192·
 2011 06  171181.
 2011 07  451154·
 2011 08  41210.
 2011 09  741286.
 2011 10  511292·
 2011 11  441395.
 2011 12  71371·
 2012 01 841323·
 2012 02 901324.
 2012 03 141362·
 2012 04 411294.
 2012 05 51334·
 2012 06 671299.
 2012 07 181207·
 2012 08 991228·
 2012 09 621222.
 2012 10 381256.
 2012 11 421298.
 2012 12 21302.
 2013 01  71223·
 2013 02  841242·
 2013 03  11316.
 2013 04  931345·
 2013 05  141401.
 2013 06  121290·
 2013 07  311249·
 2013 08  411315.
 2013 09  841323·
 2013 10  531370·
 2013 11  971388.
 2013 12  411343·
 2014 01 421295.
 2014 02 651266·
 2014 03 851336·
 2014 04 111259·
 2014 05 391297·
 2014 06 291437.
 2014 07 91375·
 2014 08 951423.
 2014 09 491429.
 2014 10 521360.
 2014 11 71361·
 2014 12 641353·
 2015 01  741311.
 2015 02  651277·
 2015 03  411387·
 2015 04  101309.
 2015 05  391370·
 2015 06  251461·
 2015 07  991526.
 2015 08  541489.
 2015 09  941487.
 2015 10  131395.
 2015 11  951298.
 2015 12  391349.
 2016 01 151344·
 2016 02 371343.
 2016 03 651502·
 2016 04 341569.
 2016 05 11507·
 2016 06 271555·
 2016 07 741503.
 2016 08 341465·
 2016 09 791484.
 2016 10 411576.
 2016 11 91536·
 2016 12 571462·
 2017 01  991456.
 2017 02  601553.
 2017 03  821555·
 2017 04  481528.
 2017 05  361481·
 2017 06  911388.
 2017 07  321501·
 2017 08  771471.
 2017 09  901507·


 2017 10  651538·
 2017 11  221427·
 2017 12  361442.
 2018 01 871493·
 2018 02 391457·
 2018 03 391454·
 2018 04 451407·
 2018 05 771405·
 2018 06 951530·
 2018 07 971645.
 2018 08 491515.
 2018 09 371514·
 2018 10 391472.
 2018 11 321383·
 2018 12 161530·
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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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