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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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 2000 01 522188.
 2000 02 412206·
 2000 03 802215·
 2000 04 32270·
 2000 05 682224.
 2000 06 362304.
 2000 07 682276.
 2000 08 572248·
 2000 09 762151·
 2000 10 542156·
 2000 11 822044·
 2000 12 352038·
 2001 01  252152·
 2001 02  782202.
 2001 03  362290.
 2001 04  812271.
 2001 05  912404.
 2001 06  132387·
 2001 07  652360·
 2001 08  642289.
 2001 09  752217.
 2001 10  922187·
 2001 11  352203.
 2001 12  782238.
 2002 01 22286·
 2002 02 712259·
 2002 03 322270.
 2002 04 422367·
 2002 05 222402·
 2002 06 322460.
 2002 07 692391·
 2002 08 12270.
 2002 09 112250·
 2002 10 802198.
 2002 11 842272·
 2002 12 232255·
 2003 01  692283.
 2003 02  492284.
 2003 03  412224·
 2003 04  22320·
 2003 05  212381·
 2003 06  952425·
 2003 07  272472.
 2003 08  592434.
 2003 09  192415.
 2003 10  982324.
 2003 11  542417·
 2003 12  362473.
 2004 01 362304.
 2004 02 672385.
 2004 03 622369.
 2004 04 42358·
 2004 05 742453.
 2004 06 322492.
 2004 07 122654·
 2004 08 552486.
 2004 09 582456·
 2004 10 502585.
 2004 11 932430·
 2004 12 102489·
 2005 01  392485·
 2005 02  32575·
 2005 03  172624·
 2005 04  132611.
 2005 05  912526.
 2005 06  972525.
 2005 07  222562·
 2005 08  322613.
 2005 09  162637.
 2005 10  642755·
 2005 11  722676.
 2005 12  622647.
 2006 01 382573.
 2006 02 622584.
 2006 03 542626·
 2006 04 222628.
 2006 05 82641·
 2006 06 702648.
 2006 07 812595.
 2006 08 562573·
 2006 09 12556·
 2006 10 972705.
 2006 11 912687.
 2006 12 332728.
 2007 01  192647.
 2007 02  732589.
 2007 03  472697·
 2007 04  472639·
 2007 05  852688·
 2007 06  552585·
 2007 07  372516·
 2007 08  182590.
 2007 09  512588·
 2007 10  262521·
 2007 11  732535.
 2007 12  892588·
 2008 01 922356.
 2008 02 912398·
 2008 03 932448·
 2008 04 312484.
 2008 05 82469·
 2008 06 822455·
 2008 07 612442·
 2008 08 362408.
 2008 09 252387.
 2008 10 562420.
 2008 11 652425·
 2008 12 242431·
 2009 01  932422.
 2009 02  942436.
 2009 03  162342·
 2009 04  392237.
 2009 05  872245·
 2009 06  42290·
 2009 07  542380.
 2009 08  512382·
 2009 09  92245·
 2009 10  162220.
 2009 11  402173.
 2009 12  532275.
 2010 01 822316·
 2010 02 882365.
 2010 03 642367.
 2010 04 652324.
 2010 05 592245.
 2010 06 12238·
 2010 07 372241.
 2010 08 312098·
 2010 09 132137.
 2010 10 612207·
 2010 11 982161.
 2010 12 192251.
 2011 01  462157.
 2011 02  12214·
 2011 03  92263·
 2011 04  242314.
 2011 05  832198·
 2011 06  772230.
 2011 07  592178·
 2011 08  662231.
 2011 09  742256.
 2011 10  702353·
 2011 11  602451.
 2011 12  882383.
 2012 01 942365·


 2012 02 882277·
 2012 03 502304·
 2012 04 592271.
 2012 05 452292·
 2012 06 612264·
 2012 07 922171·
 2012 08 742263.
 2012 09 512289·
 2012 10 472307.
 2012 11 742403·
 2012 12 522362·
 2013 01  622212.
 2013 02  282270·
 2013 03  92381·
 2013 04  362363·
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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

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