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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 341186.
 2000 02 71196.
 2000 03 451225.
 2000 04 691190·
 2000 05 251134·
 2000 06 611131·
 2000 07 271149·
 2000 08 11127·
 2000 09 451070.
 2000 10 771126·
 2000 11 721029·
 2000 12 951054·
 2001 01  441181·
 2001 02  341163·
 2001 03  941211.
 2001 04  941224.
 2001 05  981242.
 2001 06  421227·
 2001 07  301207·
 2001 08  671136·
 2001 09  71127·
 2001 10  301130.
 2001 11  431125·
 2001 12  91133·
 2002 01 961161·
 2002 02 551160.
 2002 03 211153·
 2002 04 381232·
 2002 05 161194.
 2002 06 01251·
 2002 07 761301·
 2002 08 01207·
 2002 09 421154.
 2002 10 701143·
 2002 11 481199·
 2002 12 621212.
 2003 01  751228·
 2003 02  981185.
 2003 03  981135·
 2003 04  201201.
 2003 05  391260.
 2003 06  401253·
 2003 07  151300.
 2003 08  921308.
 2003 09  861291·
 2003 10  781274·
 2003 11  111338.
 2003 12  221348·
 2004 01 911249.
 2004 02 181265.
 2004 03 251255.
 2004 04 801236·
 2004 05 541287·
 2004 06 921330.
 2004 07 181439·
 2004 08 601307.
 2004 09 01266·
 2004 10 571333·
 2004 11 801232·
 2004 12 801325.
 2005 01  811305.
 2005 02  941393.
 2005 03  231418.
 2005 04  861300.
 2005 05  701327.
 2005 06  101337·
 2005 07  841322.
 2005 08  451358.
 2005 09  701334·
 2005 10  371369·
 2005 11  281311.
 2005 12  531323.
 2006 01 41295·
 2006 02 311305.
 2006 03 411308.
 2006 04 281290·
 2006 05 241279.
 2006 06 731292·
 2006 07 361287·
 2006 08 151328·
 2006 09 51321·
 2006 10 721435.
 2006 11 521387·
 2006 12 831447.
 2007 01  471409.
 2007 02  571328·
 2007 03  521411.
 2007 04  251409.
 2007 05  761403·
 2007 06  861272.
 2007 07  221270·
 2007 08  611372·
 2007 09  411394·
 2007 10  411421·
 2007 11  771385·
 2007 12  361337·
 2008 01 201213.
 2008 02 271237·
 2008 03 541259.
 2008 04 171275·
 2008 05 111334·
 2008 06 781353·
 2008 07 151343.
 2008 08 01367.
 2008 09 401304·
 2008 10 481296.
 2008 11 501302.
 2008 12 41322·
 2009 01  581328.
 2009 02  211318·
 2009 03  701272·
 2009 04  721237.
 2009 05  391255.
 2009 06  21277.
 2009 07  141230·
 2009 08  741267.
 2009 09  861192·
 2009 10  241234.
 2009 11  441189.
 2009 12  51229.
 2010 01 221232.
 2010 02 421215.
 2010 03 481216.
 2010 04 821181.
 2010 05 981125.
 2010 06 391187·
 2010 07 401156.
 2010 08 501122·
 2010 09 891145.
 2010 10 211197·
 2010 11 571202.
 2010 12 791251.
 2011 01  971166.
 2011 02  201190·
 2011 03  611197·
 2011 04  621215·
 2011 05  461125·
 2011 06  931118.
 2011 07  421100·
 2011 08  191151.
 2011 09  871234.
 2011 10  201225·
 2011 11  121341.
 2011 12  941321.
 2012 01 951281.


 2012 02 101290.
 2012 03 81321.
 2012 04 561263.
 2012 05 701293.
 2012 06 921242·
 2012 07 941160·
 2012 08 991187·
 2012 09 381188.
 2012 10 251237.
 2012 11 571278.
 2012 12 421266.
 2013 01  501173.
 2013 02  891185.
 2013 03  111265.
 2013 04  291299.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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