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 Series Title: Employed: Real estate and rental and leasing, White: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 312246·
 2012 03 752343·
 2012 02 252350·
 2012 01 202426·
 2011 12  252463·
 2011 11  62464.
 2011 10  322435.
 2011 09  12350.
 2011 08  922280·
 2011 07  422305·
 2011 06  472301.
 2011 05  872257·
 2011 04  822337.
 2011 03  642317.
 2011 02  812285.
 2011 01  222258.
 2010 12 712347.
 2010 11 802178·
 2010 10 742234.
 2010 09 752252.
 2010 08 582190.
 2010 07 192399.
 2010 06 872418.
 2010 05 412468.
 2010 04 692508·
 2010 03 402522.
 2010 02 92525·
 2010 01 382393.
 2009 12  552329·
 2009 11  252276·
 2009 10  522303·
 2009 09  112324·
 2009 08  912447.
 2009 07  782481.
 2009 06  552332·
 2009 05  282331·
 2009 04  772328·
 2009 03  332427·
 2009 02  812532.
 2009 01  852553.
 2008 12 392478.
 2008 11 462406·
 2008 10 172401·
 2008 09 992433.
 2008 08 272472·
 2008 07 982600·
 2008 06 762496.
 2008 05 152527.
 2008 04 162598·
 2008 03 962532.
 2008 02 962529·
 2008 01 32444·
 2007 12  72612.
 2007 11  722615·
 2007 10  402547.
 2007 09  572638·
 2007 08  262669.
 2007 07  822668·
 2007 06  952723.
 2007 05  952794.
 2007 04  222772·
 2007 03  92802·
 2007 02  762741.
 2007 01  612769.
 2006 12 712812.
 2006 11 582774.
 2006 10 192849·
 2006 09 262726.
 2006 08 742748·
 2006 07 622712.
 2006 06 882706·
 2006 05 822720.
 2006 04 562707·
 2006 03 762691·
 2006 02 702639.
 2006 01 502631.
 2005 12  672704·
 2005 11  832749·
 2005 10  782823.
 2005 09  732715·
 2005 08  822653·
 2005 07  892662.
 2005 06  512710·
 2005 05  212704.
 2005 04  32759·
 2005 03  272774.
 2005 02  512752·
 2005 01  872654·
 2004 12 532644·
 2004 11 512602·
 2004 10 652683.
 2004 09 912567·
 2004 08 852627.
 2004 07 452819.
 2004 06 82766.
 2004 05 762666·
 2004 04 732607·
 2004 03 152533.
 2004 02 162479·
 2004 01 132449.
 2003 12  172526.
 2003 11  922513·
 2003 10  532464.
 2003 09  952542·
 2003 08  442593·
 2003 07  332668·
 2003 06  62616.
 2003 05  412554·
 2003 04  22474·
 2003 03  202335.
 2003 02  892408.
 2003 01  952470·
 2002 12 692479·
 2002 11 602461.
 2002 10 392404.
 2002 09 272396·
 2002 08 432489.
 2002 07 832586.
 2002 06 202640.
 2002 05 312533·
 2002 04 522466·
 2002 03 472394.
 2002 02 182390·
 2002 01 262389·
 2001 12  442367·
 2001 11  332378.
 2001 10  482364·
 2001 09  562377·
 2001 08  952466.
 2001 07  492496.
 2001 06  462485.
 2001 05  892533·
 2001 04  62419·
 2001 03  252421.
 2001 02  762350·
 2001 01  212262.
 2000 12 22109·
 2000 11 182203·
 2000 10 262284·
 2000 09 712352·
 2000 08 342431·
 2000 07 102473.
 2000 06 82473.
 2000 05 822404.
 2000 04 762462.
 2000 03 72333·
 2000 02 612400.
 2000 01 242332.
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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: Employed: Real estate and rental and leasing, White: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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