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 Series Title: Employed: Wage and salary workers, Manufacturing, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 74247.
 2012 03 394206.
 2012 02 03972.
 2012 01 53932.
 2011 12  934061.
 2011 11  64159·
 2011 10  874242.
 2011 09  94152.
 2011 08  274012·
 2011 07  523968.
 2011 06  563905.
 2011 05  933859.
 2011 04  594056·
 2011 03  604014.
 2011 02  193904.
 2011 01  13819·
 2010 12 643922.
 2010 11 363896.
 2010 10 163933.
 2010 09 33991·
 2010 08 434002·
 2010 07 113947·
 2010 06 93995.
 2010 05 913914.
 2010 04 213822·
 2010 03 433720.
 2010 02 853603.
 2010 01 863528.
 2009 12  493595·
 2009 11  133775.
 2009 10  583937.
 2009 09  324072.
 2009 08  24018.
 2009 07  274075.
 2009 06  654038.
 2009 05  984040·
 2009 04  794021·
 2009 03  173885·
 2009 02  703965.
 2009 01  773984·
 2008 12 84115.
 2008 11 404500·
 2008 10 604506.
 2008 09 894527.
 2008 08 384600·
 2008 07 784598.
 2008 06 484666.
 2008 05 794516·
 2008 04 444508.
 2008 03 374593·
 2008 02 734560.
 2008 01 154741·
 2007 12  274750·
 2007 11  484767.
 2007 10  964818·
 2007 09  914712.
 2007 08  124790·
 2007 07  694710.
 2007 06  64626·
 2007 05  274739.
 2007 04  514759·
 2007 03  814833.
 2007 02  164785.
 2007 01  674682.
 2006 12 174501.
 2006 11 914591·
 2006 10 634618.
 2006 09 804620·
 2006 08 114697·
 2006 07 304652.
 2006 06 114863·
 2006 05 594806·
 2006 04 604778·
 2006 03 554981·
 2006 02 484828·
 2006 01 254737.
 2005 12  124722·
 2005 11  484711.
 2005 10  854656·
 2005 09  214743·
 2005 08  444725·
 2005 07  144699.
 2005 06  624790·
 2005 05  174814·
 2005 04  574853.
 2005 03  874690·
 2005 02  414848.
 2005 01  64848.
 2004 12 744888.
 2004 11 234921.
 2004 10 104734·
 2004 09 84749.
 2004 08 484908.
 2004 07 24785·
 2004 06 824822·
 2004 05 665026.
 2004 04 524932.
 2004 03 324983·
 2004 02 945037·
 2004 01 514971·
 2003 12  894959·
 2003 11  455056·
 2003 10  115021·
 2003 09  564936·
 2003 08  825102.
 2003 07  974987.
 2003 06  185051·
 2003 05  04963.
 2003 04  825108·
 2003 03  695081·
 2003 02  315164·
 2003 01  285211.
 2002 12 665079·
 2002 11 695106.
 2002 10 855100·
 2002 09 84964.
 2002 08 325221.
 2002 07 285051.
 2002 06 455033·
 2002 05 355033.
 2002 04 75078.
 2002 03 35235·
 2002 02 985270·
 2002 01 275282.
 2001 12  415327.
 2001 11  755378·
 2001 10  565448.
 2001 09  305338.
 2001 08  95402·
 2001 07  505412.
 2001 06  595640.
 2001 05  125766·
 2001 04  125803·
 2001 03  625941.
 2001 02  686063.
 2001 01  675996.
 2000 12 756186.
 2000 11 656065·
 2000 10 726022·
 2000 09 156224.
 2000 08 486102·
 2000 07 436137.
 2000 06 846320·
 2000 05 996128·
 2000 04 76244.
 2000 03 16334.
 2000 02 416320·
 2000 01 886268.
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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: Employed: Wage and salary workers, Manufacturing, 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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