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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  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 882188.
 2000 02 772206·
 2000 03 442215·
 2000 04 102270·
 2000 05 202224.
 2000 06 222304.
 2000 07 672276·
 2000 08 332248.
 2000 09 812151.
 2000 10 282156·
 2000 11 532044.
 2000 12 172038.
 2001 01  202152.
 2001 02  772202·
 2001 03  152290.
 2001 04  62271.
 2001 05  152404.
 2001 06  742387·
 2001 07  922360.
 2001 08  702289·
 2001 09  642217·
 2001 10  532187.
 2001 11  452203·
 2001 12  32238·
 2002 01 942286·
 2002 02 692259.
 2002 03 642270·
 2002 04 232367·
 2002 05 542402·
 2002 06 42460·
 2002 07 602391·
 2002 08 752270·
 2002 09 212250·
 2002 10 662198·
 2002 11 722272.
 2002 12 282255.
 2003 01  942283·
 2003 02  842284·
 2003 03  632224·
 2003 04  762320.
 2003 05  02381.
 2003 06  172425.
 2003 07  202472.
 2003 08  392434.
 2003 09  872415·
 2003 10  452324·
 2003 11  572417·
 2003 12  602473·
 2004 01 332304·
 2004 02 762385.
 2004 03 112369.
 2004 04 82358·
 2004 05 362453·
 2004 06 412492·
 2004 07 462654.
 2004 08 782486.
 2004 09 232456.
 2004 10 962585.
 2004 11 482430·
 2004 12 902489.
 2005 01  442485.
 2005 02  242575·
 2005 03  312624·
 2005 04  862611·
 2005 05  742526·
 2005 06  312525.
 2005 07  342562.
 2005 08  362613.
 2005 09  142637·
 2005 10  482755.
 2005 11  182676·
 2005 12  342647.
 2006 01 892573.
 2006 02 322584·
 2006 03 712626.
 2006 04 02628.
 2006 05 502641.
 2006 06 662648.
 2006 07 82595.
 2006 08 782573·
 2006 09 712556·
 2006 10 552705·
 2006 11 642687·
 2006 12 362728·
 2007 01  542647.
 2007 02  312589.
 2007 03  42697·
 2007 04  692639.
 2007 05  232688·
 2007 06  502585·
 2007 07  152516·
 2007 08  962590.
 2007 09  302588·
 2007 10  952521·
 2007 11  112535.
 2007 12  612588·
 2008 01 492356.
 2008 02 732398·
 2008 03 282448·
 2008 04 332484.
 2008 05 802469·
 2008 06 142455·
 2008 07 302442.
 2008 08 72408·
 2008 09 502387·
 2008 10 752420·
 2008 11 52425.
 2008 12 12431.
 2009 01  82422.
 2009 02  382436.
 2009 03  662342·
 2009 04  602237.
 2009 05  312245.
 2009 06  102290.
 2009 07  502380.
 2009 08  532382·
 2009 09  182245.
 2009 10  222220.
 2009 11  212173.
 2009 12  732275·
 2010 01 942316.
 2010 02 312365.
 2010 03 662367.
 2010 04 412324.
 2010 05 112245·
 2010 06 192238·
 2010 07 982241·
 2010 08 02098.
 2010 09 432137.
 2010 10 922207·
 2010 11 562161·
 2010 12 202251.
 2011 01  922157·
 2011 02  812214·
 2011 03  12263·
 2011 04  942314·
 2011 05  812198·
 2011 06  442230.
 2011 07  232178.
 2011 08  412231·
 2011 09  632256·
 2011 10  632353·
 2011 11  332451.
 2011 12  72383·
 2012 01 112365.
 2012 02 422277.
 2012 03 702304·
 2012 04 592271.
 2012 05 272292·
 2012 06 162264·
 2012 07 962171·
 2012 08 932263.
 2012 09 362289·
 2012 10 392307·
 2012 11 02403·
 2012 12 262362.
 2013 01  882212.
 2013 02  942270.
 2013 03  942381·
 2013 04  42363.
 2013 05  592423·
 2013 06  882325.
 2013 07  172218·
 2013 08  962353.
 2013 09  492370.
 2013 10  512364.
 2013 11  302447·
 2013 12  952386·
 2014 01 832372.
 2014 02 412389.
 2014 03 232510·
 2014 04 212392.
 2014 05 122396·
 2014 06 392501·
 2014 07 82424·
 2014 08 182475·
 2014 09 122337.
 2014 10 522249·
 2014 11 222348·
 2014 12 552404.
 2015 01  822427.
 2015 02  112497.
 2015 03  292587.
 2015 04  262529.
 2015 05  482568.
 2015 06  742645·
 2015 07  172659·
 2015 08  512578.
 2015 09  612604·
 2015 10  222435·
 2015 11  982396.
 2015 12  732503.
 2016 01 952406.
 2016 02 602479.
 2016 03 112648.
 2016 04 612854·
 2016 05 522832·
 2016 06 222897·
 2016 07 182772·
 2016 08 112567·
 2016 09 562563·
 2016 10 642583.
 2016 11 72602·
 2016 12 402406.
 2017 01  582551·
 2017 02  672680·
 2017 03  912675·
 2017 04  942773.
 2017 05  332799.
 2017 06  382653·
 2017 07  82754.


 2017 08  402684.
 2017 09  832634.
 2017 10  92642.
 2017 11  212582·
 2017 12  742649·
 2018 01 312738.
 2018 02 362677.
 2018 03 172684·
 2018 04 152657.
 2018 05 292718·
 2018 06 12753.
 2018 07 112846·
 2018 08 62667·
 2018 09 522677·
 2018 10 102643.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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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