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 Series Title: Employed: Real estate and rental and leasing, Asian: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 70132·
 2012 03 4102·
 2012 02 6104·
 2012 01 8389·
 2011 12  7186·
 2011 11  2101·
 2011 10  1699.
 2011 09  78101·
 2011 08  37121.
 2011 07  98109.
 2011 06  26103·
 2011 05  71117.
 2011 04  20127·
 2011 03  75104·
 2011 02  51142.
 2011 01  7109.
 2010 12 9696.
 2010 11 38106·
 2010 10 2792.
 2010 09 5690·
 2010 08 64105·
 2010 07 20107.
 2010 06 18101.
 2010 05 1086·
 2010 04 50103.
 2010 03 7688.
 2010 02 1289.
 2010 01 89112.
 2009 12  485.
 2009 11  8982.
 2009 10  2085.
 2009 09  3896.
 2009 08  197·
 2009 07  66105·
 2009 06  8299·
 2009 05  25110·
 2009 04  43122·
 2009 03  37120.
 2009 02  60115·
 2009 01  4595·
 2008 12 55110.
 2008 11 60112.
 2008 10 43109·
 2008 09 1786.
 2008 08 8682·
 2008 07 1777.
 2008 06 4288·
 2008 05 84117·
 2008 04 12115.
 2008 03 13120·
 2008 02 96123·
 2008 01 17114·
 2007 12  34125·
 2007 11  81134.
 2007 10  67139·
 2007 09  9142.
 2007 08  77149.
 2007 07  77115.
 2007 06  44127.
 2007 05  7999·
 2007 04  92145.
 2007 03  82173.
 2007 02  40154.
 2007 01  72164·
 2006 12 53143·
 2006 11 4115·
 2006 10 92117·
 2006 09 5697.
 2006 08 6297·
 2006 07 75135.
 2006 06 63151·
 2006 05 26170·
 2006 04 43160·
 2006 03 49154·
 2006 02 42129.
 2006 01 1130·
 2005 12  47111.
 2005 11  1193·
 2005 10  4087.
 2005 09  2672·
 2005 08  4995·
 2005 07  65103.
 2005 06  97103.
 2005 05  68111·
 2005 04  51129.
 2005 03  44118·
 2005 02  74109·
 2005 01  23123.
 2004 12 76111.
 2004 11 4102.
 2004 10 6089·
 2004 09 981.
 2004 08 7665.
 2004 07 2772·
 2004 06 6867·
 2004 05 7094.
 2004 04 2698·
 2004 03 20103·
 2004 02 35117.
 2004 01 7783.
 2003 12  2695.
 2003 11  1479.
 2003 10  2570.
 2003 09  2276.
 2003 08  294·
 2003 07  6574·
 2003 06  2474.
 2003 05  2672·
 2003 04  477·
 2003 03  5785.
 2003 02  4795.
 2003 01  3178·
 2002 12 784.
 2002 11 9473.
 2002 10 3168·
 2002 09 887·
 2002 08 1384.
 2002 07 965.
 2002 06 39102.
 2002 05 5165·
 2002 04 45104.
 2002 03 58103.
 2002 02 5996.
 2002 01 78124·
 2001 12  5683.
 2001 11  2489·
 2001 10  484·
 2001 09  3372·
 2001 08  1983.
 2001 07  12100.
 2001 06  11117·
 2001 05  87113·
 2001 04  36126·
 2001 03  55129·
 2001 02  44104.
 2001 01  33119·
 2000 12 32117·
 2000 11 8112.
 2000 10 90102.
 2000 09 8989·
 2000 08 56109.
 2000 07 5493.
 2000 06 63130·
 2000 05 2110·
 2000 04 8698·
 2000 03 0104·
 2000 02 9993·
 2000 01 3884·
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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, Asian: 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

Want to know how State economies fared during the Clinton Administration? Use the Reporter.

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