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 Series Title: Unemployment Rate: Nonagricultural Private Wage and Salary Workers, Real Estate, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 708.2
 2012 03 189·6
 2012 02 489.6
 2012 01 897·7
 2011 12  928·7
 2011 11  115·2
 2011 10  23.3
 2011 09  515·6
 2011 08  256.5
 2011 07  477.9
 2011 06  17·2
 2011 05  568.3
 2011 04  177·4
 2011 03  67.5
 2011 02  578·3
 2011 01  477·4
 2010 12 467.6
 2010 11 966·3
 2010 10 88·3
 2010 09 947.2
 2010 08 117.6
 2010 07 485·2
 2010 06 185.3
 2010 05 905·3
 2010 04 386.3
 2010 03 197.6
 2010 02 755·3
 2010 01 566·2
 2009 12  777·1
 2009 11  917.7
 2009 10  909·9
 2009 09  358·8
 2009 08  36.1
 2009 07  696.2
 2009 06  26·2
 2009 05  966.8
 2009 04  175.5
 2009 03  866.2
 2009 02  746·8
 2009 01  337.8
 2008 12 446·7
 2008 11 997·4
 2008 10 945.7
 2008 09 664·1
 2008 08 355.8
 2008 07 884·3
 2008 06 756·3
 2008 05 385·2
 2008 04 653.6
 2008 03 612.5
 2008 02 545·2
 2008 01 202.9
 2007 12  344.5
 2007 11  492·8
 2007 10  954.3
 2007 09  43.6
 2007 08  685.3
 2007 07  102.4
 2007 06  852·5
 2007 05  113.2
 2007 04  183.9
 2007 03  235.3
 2007 02  375.8
 2007 01  833.5
 2006 12 575·3
 2006 11 975.0
 2006 10 892·2
 2006 09 923.0
 2006 08 882·7
 2006 07 633.3
 2006 06 53·4
 2006 05 292·8
 2006 04 352·7
 2006 03 772·7
 2006 02 712·3
 2006 01 153.0
 2005 12  492.8
 2005 11  222.1
 2005 10  13·2
 2005 09  952·7
 2005 08  52·9
 2005 07  33.6
 2005 06  334·7
 2005 05  363.8
 2005 04  33.5
 2005 03  523·4
 2005 02  293.3
 2005 01  332·6
 2004 12 692.5
 2004 11 272·2
 2004 10 782.1
 2004 09 54·1
 2004 08 542.2
 2004 07 83·7
 2004 06 924.7
 2004 05 973.4
 2004 04 323.5
 2004 03 33·0
 2004 02 93·1
 2004 01 773.1
 2003 12  43·0
 2003 11  425·3
 2003 10  934·9
 2003 09  402·9
 2003 08  963·4
 2003 07  833·8
 2003 06  313·1
 2003 05  52·3
 2003 04  583.8
 2003 03  73·3
 2003 02  352.8
 2003 01  155.5
 2002 12 655.1
 2002 11 224·8
 2002 10 453.9
 2002 09 413·4
 2002 08 175.6
 2002 07 575·3
 2002 06 224.3
 2002 05 763·0
 2002 04 414.8
 2002 03 713.8
 2002 02 543.0
 2002 01 393.1
 2001 12  862.1
 2001 11  452.5
 2001 10  553.6
 2001 09  754·0
 2001 08  284·2
 2001 07  853·2
 2001 06  632.7
 2001 05  522.5
 2001 04  672·9
 2001 03  232.7
 2001 02  404·2
 2001 01  653.4
 2000 12 284·2
 2000 11 163·0
 2000 10 742.6
 2000 09 332.6
 2000 08 633·3
 2000 07 453·5
 2000 06 782.5
 2000 05 01·6
 2000 04 462·6
 2000 03 173.2
 2000 02 902.3
 2000 01 362·3
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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, Women: 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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