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 Series Title: Employment: Nonagriculture Private wage and salary workers in Durable goods industry, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 182336·
 2012 03 392296.
 2012 02 882153·
 2012 01 502126·
 2011 12  322166.
 2011 11  442166.
 2011 10  992244.
 2011 09  392265·
 2011 08  872145.
 2011 07  232164·
 2011 06  862117.
 2011 05  32121.
 2011 04  342252·
 2011 03  572189.
 2011 02  622059.
 2011 01  842089.
 2010 12 482082·
 2010 11 522074·
 2010 10 652170·
 2010 09 522207·
 2010 08 302259.
 2010 07 412184·
 2010 06 572152·
 2010 05 12094·
 2010 04 42036·
 2010 03 801984·
 2010 02 261891.
 2010 01 501873·
 2009 12  221946.
 2009 11  512057·
 2009 10  862140·
 2009 09  442163·
 2009 08  582106·
 2009 07  602125·
 2009 06  742089·
 2009 05  512111·
 2009 04  142146.
 2009 03  392128.
 2009 02  542252·
 2009 01  662358·
 2008 12 142498·
 2008 11 442633.
 2008 10 122573.
 2008 09 72560·
 2008 08 92529·
 2008 07 582535.
 2008 06 622641·
 2008 05 202489.
 2008 04 742548·
 2008 03 872561.
 2008 02 422518.
 2008 01 732624.
 2007 12  102618·
 2007 11  622679.
 2007 10  152668.
 2007 09  592542·
 2007 08  412584·
 2007 07  402522.
 2007 06  682524·
 2007 05  02729·
 2007 04  202710·
 2007 03  32710.
 2007 02  152691·
 2007 01  372521.
 2006 12 202540.
 2006 11 582572·
 2006 10 932597·
 2006 09 422587.
 2006 08 422591·
 2006 07 352572·
 2006 06 662700·
 2006 05 72689.
 2006 04 122719·
 2006 03 932832·
 2006 02 212703·
 2006 01 522622·
 2005 12  792694.
 2005 11  112669.
 2005 10  702601·
 2005 09  212636.
 2005 08  212569·
 2005 07  982533.
 2005 06  532577.
 2005 05  832600·
 2005 04  352635.
 2005 03  842567.
 2005 02  312657·
 2005 01  322730.
 2004 12 492699·
 2004 11 272738·
 2004 10 942588·
 2004 09 882587.
 2004 08 132691.
 2004 07 82605.
 2004 06 522591·
 2004 05 952667·
 2004 04 22701.
 2004 03 332692.
 2004 02 462760·
 2004 01 222694.
 2003 12  152792·
 2003 11  342774.
 2003 10  362716.
 2003 09  622694.
 2003 08  802741.
 2003 07  682709·
 2003 06  122792·
 2003 05  352768.
 2003 04  462775·
 2003 03  172830·
 2003 02  872899.
 2003 01  862902·
 2002 12 882867·
 2002 11 862808·
 2002 10 972849.
 2002 09 832659.
 2002 08 72768·
 2002 07 92724.
 2002 06 62715.
 2002 05 202766·
 2002 04 282808.
 2002 03 412909.
 2002 02 22865.
 2002 01 172893.
 2001 12  22953·
 2001 11  643020.
 2001 10  983143.
 2001 09  183051.
 2001 08  42998.
 2001 07  843021.
 2001 06  313251.
 2001 05  913275·
 2001 04  353351.
 2001 03  343316.
 2001 02  653376.
 2001 01  323381.
 2000 12 193517.
 2000 11 703530·
 2000 10 883523·
 2000 09 583581·
 2000 08 83392·
 2000 07 743343·
 2000 06 113500·
 2000 05 153429·
 2000 04 763597·
 2000 03 523595·
 2000 02 743495.
 2000 01 723591·
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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: Employment: Nonagriculture Private wage and salary workers in Durable goods industry, 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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