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 Series Title: Employment: Nonagriculture Private wage and salary workers in Real estate and rental and leasing industry, Men: NSA
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 2000 01 561186.
 2000 02 711196·
 2000 03 221225·
 2000 04 181190·
 2000 05 921134·
 2000 06 801131·
 2000 07 181149·
 2000 08 741127.
 2000 09 951070·
 2000 10 871126·
 2000 11 151029.
 2000 12 281054·
 2001 01  141181·
 2001 02  741163.
 2001 03  251211.
 2001 04  251224.
 2001 05  261242·
 2001 06  491227·
 2001 07  881207·
 2001 08  341136·
 2001 09  291127·
 2001 10  411130·
 2001 11  641125·
 2001 12  491133.
 2002 01 511161·
 2002 02 91160·
 2002 03 441153·
 2002 04 901232·
 2002 05 411194.
 2002 06 331251.
 2002 07 381301·
 2002 08 991207·
 2002 09 751154·
 2002 10 201143.
 2002 11 861199.
 2002 12 471212·
 2003 01  531228·
 2003 02  31185·
 2003 03  501135.
 2003 04  281201·
 2003 05  01260·
 2003 06  371253.
 2003 07  181300.
 2003 08  611308·
 2003 09  671291.
 2003 10  41274.
 2003 11  31338.
 2003 12  891348.
 2004 01 301249.
 2004 02 111265.
 2004 03 431255.
 2004 04 831236·
 2004 05 881287·
 2004 06 901330·
 2004 07 11439.
 2004 08 361307.
 2004 09 671266.
 2004 10 971333.
 2004 11 641232.
 2004 12 671325·
 2005 01  171305·
 2005 02  131393·
 2005 03  461418·
 2005 04  211300·
 2005 05  141327·
 2005 06  461337.
 2005 07  841322·
 2005 08  661358·
 2005 09  591334.
 2005 10  271369.
 2005 11  411311·
 2005 12  971323.
 2006 01 761295·
 2006 02 131305.
 2006 03 51308.
 2006 04 331290·
 2006 05 161279·
 2006 06 851292.
 2006 07 901287·
 2006 08 181328·
 2006 09 541321.
 2006 10 511435.
 2006 11 321387.
 2006 12 221447.
 2007 01  911409·
 2007 02  401328.
 2007 03  951411·
 2007 04  371409·
 2007 05  531403·
 2007 06  121272·
 2007 07  671270·
 2007 08  841372.
 2007 09  891394.
 2007 10  461421·
 2007 11  611385.
 2007 12  71337.
 2008 01 741213.
 2008 02 491237·
 2008 03 141259.
 2008 04 741275·
 2008 05 101334.
 2008 06 541353·
 2008 07 891343·
 2008 08 811367·
 2008 09 221304.
 2008 10 171296.
 2008 11 751302·
 2008 12 451322.
 2009 01  601328.
 2009 02  191318·
 2009 03  841272·
 2009 04  121237.
 2009 05  01255·
 2009 06  671277·
 2009 07  541230.
 2009 08  491267·
 2009 09  411192·
 2009 10  931234·
 2009 11  481189·
 2009 12  531229.
 2010 01 91232.
 2010 02 531215.
 2010 03 541216.
 2010 04 411181.
 2010 05 561125.
 2010 06 301187·
 2010 07 841156·
 2010 08 571122.
 2010 09 551145.
 2010 10 291197·
 2010 11 781202.
 2010 12 721251.
 2011 01  81166.
 2011 02  831190.
 2011 03  961197·
 2011 04  781215·
 2011 05  391125·
 2011 06  471118.
 2011 07  281100.
 2011 08  961151.
 2011 09  01234·
 2011 10  41225·
 2011 11  871341·
 2011 12  691321.
 2012 01 661281·
 2012 02 601290·
 2012 03 91321·
 2012 04 671263.
 2012 05 361293.
 2012 06 481242.
 2012 07 591160·
 2012 08 831187.
 2012 09 371188·
 2012 10 221237.
 2012 11 241278·
 2012 12 371266·
 2013 01  191173·
 2013 02  661185·
 2013 03  161265·
 2013 04  721299.
 2013 05  561352·
 2013 06  861249·
 2013 07  751204·
 2013 08  591277.
 2013 09  511283·
 2013 10  131325·
 2013 11  611343·
 2013 12  911305.
 2014 01 271258.
 2014 02 41230.
 2014 03 651285.
 2014 04 871178.
 2014 05 361209.
 2014 06 411350.
 2014 07 981296.
 2014 08 911369.
 2014 09 521350·
 2014 10 311301·
 2014 11 981306.
 2014 12 741314·
 2015 01  771283·
 2015 02  41250.
 2015 03  281342·
 2015 04  271251·
 2015 05  351318·
 2015 06  181411.
 2015 07  771479·
 2015 08  721447.
 2015 09  771444.
 2015 10  551360.
 2015 11  561274·
 2015 12  521317.
 2016 01 791297.
 2016 02 201291·
 2016 03 51436·
 2016 04 351512·
 2016 05 401444·
 2016 06 461510.
 2016 07 851452·
 2016 08 181395·
 2016 09 861438·
 2016 10 891521.
 2016 11 841481·
 2016 12 171393.
 2017 01  671375.
 2017 02  311477·
 2017 03  171484.
 2017 04  781466.
 2017 05  601441.
 2017 06  781344.
 2017 07  201464·


 2017 08  701436.
 2017 09  641477·
 2017 10  631502.
 2017 11  561399·
 2017 12  861420.
 2018 01 41464.
 2018 02 411417.
 2018 03 131416·
 2018 04 471377·
 2018 05 321369·
 2018 06 951480·
 2018 07 41598.
 2018 08 961465.
 2018 09 211465.
 2018 10 311426·
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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: Employment: Nonagriculture Private wage and salary workers in Real estate and rental and leasing industry, 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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