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 Series Title: Employment: Nonagriculture Private wage and salary workers in Manufacturing 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 624219·
 2012 03 874180·
 2012 02 583949.
 2012 01 293909·
 2011 12  774028·
 2011 11  794121·
 2011 10  174211.
 2011 09  34122.
 2011 08  273990.
 2011 07  383941.
 2011 06  463885·
 2011 05  443839·
 2011 04  624037·
 2011 03  474004·
 2011 02  573891.
 2011 01  963800·
 2010 12 583894·
 2010 11 103862.
 2010 10 893900·
 2010 09 293964.
 2010 08 163980.
 2010 07 613918.
 2010 06 43973·
 2010 05 373897·
 2010 04 603798.
 2010 03 563708·
 2010 02 903582.
 2010 01 393516.
 2009 12  423585.
 2009 11  763755.
 2009 10  603909.
 2009 09  794045·
 2009 08  363998.
 2009 07  294047.
 2009 06  534007.
 2009 05  264016.
 2009 04  424009·
 2009 03  443864·
 2009 02  303942·
 2009 01  753953·
 2008 12 874082.
 2008 11 814472·
 2008 10 804479·
 2008 09 444506.
 2008 08 214578·
 2008 07 194579.
 2008 06 164641·
 2008 05 784503·
 2008 04 184498.
 2008 03 664569·
 2008 02 754527.
 2008 01 464708.
 2007 12  804711·
 2007 11  534738.
 2007 10  214789·
 2007 09  424682·
 2007 08  314768·
 2007 07  374693.
 2007 06  414611·
 2007 05  854732·
 2007 04  234747·
 2007 03  04813·
 2007 02  484762.
 2007 01  194650·
 2006 12 304481.
 2006 11 484569.
 2006 10 804592·
 2006 09 134600.
 2006 08 544673.
 2006 07 124642·
 2006 06 14837.
 2006 05 624783·
 2006 04 184762·
 2006 03 504962.
 2006 02 974810·
 2006 01 854715·
 2005 12  754700.
 2005 11  434693·
 2005 10  824646.
 2005 09  254723.
 2005 08  984708.
 2005 07  984685·
 2005 06  944763·
 2005 05  524780.
 2005 04  894823.
 2005 03  474665·
 2005 02  964827·
 2005 01  614828·
 2004 12 734876.
 2004 11 454905·
 2004 10 754716.
 2004 09 704736.
 2004 08 04897.
 2004 07 754776·
 2004 06 444807·
 2004 05 235004·
 2004 04 464908·
 2004 03 434969·
 2004 02 415024.
 2004 01 894954.
 2003 12  114944.
 2003 11  825035·
 2003 10  304997·
 2003 09  634914·
 2003 08  205081·
 2003 07  474962.
 2003 06  985023.
 2003 05  644940.
 2003 04  245067·
 2003 03  205055.
 2003 02  575143·
 2003 01  365181.
 2002 12 995047.
 2002 11 85086.
 2002 10 475070·
 2002 09 484949·
 2002 08 445198·
 2002 07 425020.
 2002 06 295001·
 2002 05 945007.
 2002 04 855057·
 2002 03 805206·
 2002 02 925247.
 2002 01 945263·
 2001 12  735309·
 2001 11  25360.
 2001 10  485430.
 2001 09  915302·
 2001 08  825340.
 2001 07  165339·
 2001 06  365617.
 2001 05  555751.
 2001 04  145788·
 2001 03  535913.
 2001 02  176032.
 2001 01  795960.
 2000 12 936153.
 2000 11 706032.
 2000 10 816005.
 2000 09 846201·
 2000 08 706090·
 2000 07 486122.
 2000 06 416302.
 2000 05 126104·
 2000 04 206229.
 2000 03 946330.
 2000 02 336303.
 2000 01 346255·
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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 Manufacturing 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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