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 Series Title: Unemployment Rate: Nonagricultural Private Wage and Salary Workers, Real Estate, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 164·1
 2012 03 855.5
 2012 02 874·7
 2012 01 805·6
 2011 12  493.4
 2011 11  776.7
 2011 10  537·7
 2011 09  944·6
 2011 08  977·2
 2011 07  188·3
 2011 06  718.3
 2011 05  578·4
 2011 04  138·9
 2011 03  899·6
 2011 02  538.2
 2011 01  139·3
 2010 12 708·2
 2010 11 978.1
 2010 10 364.9
 2010 09 305.7
 2010 08 706·9
 2010 07 734.9
 2010 06 845·8
 2010 05 44·9
 2010 04 384·8
 2010 03 745.8
 2010 02 856·6
 2010 01 538·8
 2009 12  2410·2
 2009 11  829·0
 2009 10  507.6
 2009 09  217.0
 2009 08  46.3
 2009 07  38.1
 2009 06  196·9
 2009 05  788.3
 2009 04  7810.1
 2009 03  699·3
 2009 02  546.7
 2009 01  175.5
 2008 12 716.0
 2008 11 364.5
 2008 10 442·9
 2008 09 593·4
 2008 08 343.7
 2008 07 873·8
 2008 06 05·3
 2008 05 463·6
 2008 04 434·5
 2008 03 285.2
 2008 02 614.3
 2008 01 482·3
 2007 12  973.5
 2007 11  903.9
 2007 10  894·4
 2007 09  594.8
 2007 08  224.2
 2007 07  313.9
 2007 06  743·6
 2007 05  991·6
 2007 04  681·4
 2007 03  312·9
 2007 02  263·5
 2007 01  123·9
 2006 12 122·3
 2006 11 971·7
 2006 10 850.6
 2006 09 653·1
 2006 08 521·6
 2006 07 622·4
 2006 06 143.6
 2006 05 552.6
 2006 04 161·9
 2006 03 823.1
 2006 02 992.6
 2006 01 03.4
 2005 12  521·8
 2005 11  373.7
 2005 10  552.6
 2005 09  431·8
 2005 08  363·9
 2005 07  362·2
 2005 06  182·5
 2005 05  552·4
 2005 04  692.4
 2005 03  102·1
 2005 02  533·0
 2005 01  294·6
 2004 12 773.1
 2004 11 145·9
 2004 10 464·1
 2004 09 854·8
 2004 08 93·3
 2004 07 322·2
 2004 06 104·4
 2004 05 662·2
 2004 04 414·1
 2004 03 694.8
 2004 02 853·4
 2004 01 425·4
 2003 12  733.5
 2003 11  583.3
 2003 10  315.1
 2003 09  74.3
 2003 08  313·6
 2003 07  543·3
 2003 06  384.9
 2003 05  803.7
 2003 04  651.5
 2003 03  403·8
 2003 02  182·3
 2003 01  53·5
 2002 12 502.7
 2002 11 212·9
 2002 10 93.4
 2002 09 522·6
 2002 08 881·9
 2002 07 312·5
 2002 06 744·1
 2002 05 143.6
 2002 04 23.3
 2002 03 252·3
 2002 02 13.0
 2002 01 103.0
 2001 12  453.1
 2001 11  853.4
 2001 10  31.6
 2001 09  861·5
 2001 08  902.6
 2001 07  182·7
 2001 06  174.0
 2001 05  92.1
 2001 04  393·5
 2001 03  551·6
 2001 02  71.6
 2001 01  742·5
 2000 12 173.2
 2000 11 532.6
 2000 10 603.3
 2000 09 02·1
 2000 08 743.0
 2000 07 942·6
 2000 06 892·9
 2000 05 322.7
 2000 04 852·3
 2000 03 841·8
 2000 02 332.0
 2000 01 383·1
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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: Unemployment Rate: Nonagricultural Private Wage and Salary Workers, Real Estate, Men: 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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