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 Series Title: (orig) Employment: Nonagriculture private wage and salary workers in Real estate and rental and leasing: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 472271.
 2012 03 82304.
 2012 02 812277.
 2012 01 372365·
 2011 12  722383.
 2011 11  842451·
 2011 10  712353.
 2011 09  652256.
 2011 08  752231·
 2011 07  702178.
 2011 06  752230.
 2011 05  52198.
 2011 04  82314·
 2011 03  492263.
 2011 02  62214·
 2011 01  02157·
 2010 12 462251.
 2010 11 272161.
 2010 10 02207.
 2010 09 192137.
 2010 08 882098.
 2010 07 362241·
 2010 06 222238·
 2010 05 572245.
 2010 04 612324.
 2010 03 332367.
 2010 02 582365·
 2010 01 332316.
 2009 12  142275.
 2009 11  982173·
 2009 10  232220·
 2009 09  902245.
 2009 08  242382·
 2009 07  402380.
 2009 06  532290.
 2009 05  992245·
 2009 04  902237·
 2009 03  892342·
 2009 02  122436·
 2009 01  532422.
 2008 12 382431·
 2008 11 22425·
 2008 10 872420.
 2008 09 712387·
 2008 08 192408.
 2008 07 612442.
 2008 06 922455·
 2008 05 972469.
 2008 04 72484·
 2008 03 722448.
 2008 02 642398.
 2008 01 12356·
 2007 12  42588·
 2007 11  682535·
 2007 10  662521.
 2007 09  772588·
 2007 08  342590·
 2007 07  32516.
 2007 06  862585.
 2007 05  432688·
 2007 04  482639·
 2007 03  622697·
 2007 02  382589.
 2007 01  452647·
 2006 12 212728·
 2006 11 492687·
 2006 10 582705·
 2006 09 502556·
 2006 08 542573·
 2006 07 972595·
 2006 06 102648·
 2006 05 542641·
 2006 04 722628.
 2006 03 622626.
 2006 02 822584·
 2006 01 762573.
 2005 12  252647.
 2005 11  252676·
 2005 10  862755.
 2005 09  592637·
 2005 08  902613·
 2005 07  952562·
 2005 06  602525·
 2005 05  722526·
 2005 04  652611·
 2005 03  12624.
 2005 02  682575.
 2005 01  112485.
 2004 12 782489.
 2004 11 12430.
 2004 10 982585.
 2004 09 932456.
 2004 08 772486·
 2004 07 772654·
 2004 06 612492.
 2004 05 642453·
 2004 04 392358.
 2004 03 352369.
 2004 02 962385·
 2004 01 912304·
 2003 12  632473.
 2003 11  62417.
 2003 10  662324.
 2003 09  712415.
 2003 08  762434·
 2003 07  482472·
 2003 06  592425·
 2003 05  202381·
 2003 04  282320.
 2003 03  422224.
 2003 02  882284·
 2003 01  852283.
 2002 12 932255·
 2002 11 942272·
 2002 10 902198·
 2002 09 332250.
 2002 08 732270·
 2002 07 362391.
 2002 06 292460.
 2002 05 592402·
 2002 04 922367.
 2002 03 262270·
 2002 02 922259.
 2002 01 822286.
 2001 12  22238·
 2001 11  442203.
 2001 10  922187.
 2001 09  472217.
 2001 08  772289·
 2001 07  972360·
 2001 06  682387·
 2001 05  222404.
 2001 04  192271.
 2001 03  172290·
 2001 02  812202.
 2001 01  12152.
 2000 12 512038.
 2000 11 612044.
 2000 10 202156·
 2000 09 42151·
 2000 08 252248·
 2000 07 102276.
 2000 06 982304·
 2000 05 752224.
 2000 04 172270·
 2000 03 702215·
 2000 02 532206·
 2000 01 832188·
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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: (orig) Employment: Nonagriculture private wage and salary workers in Real estate and rental and leasing: 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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