Economagic.com: Economic Time Series Page
 Browse Data Titles  |  Charts  |  Excel  |  Reports  |  Search  |  Maps & Movies  |  Help
 Subscriber Login  |  Subscription Info  |  Turn Advanced Features On  |  Change Defaults

 Series Title: Employed: Wage and salary workers, Manufacturing, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  Reverse this series  |  Data set page
Link to Series in Level 1 Subscription Site
Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
Go to end of data set
 2000 01 116268·
 2000 02 76320.
 2000 03 156334·
 2000 04 706244·
 2000 05 306128·
 2000 06 556320·
 2000 07 76137·
 2000 08 786102·
 2000 09 416224·
 2000 10 266022·
 2000 11 246065·
 2000 12 96186.
 2001 01  935996.
 2001 02  36063.
 2001 03  805941·
 2001 04  85803·
 2001 05  635766·
 2001 06  925640·
 2001 07  135412.
 2001 08  445402·
 2001 09  505338.
 2001 10  245448.
 2001 11  865378.
 2001 12  115327·
 2002 01 805282.
 2002 02 565270.
 2002 03 865235.
 2002 04 285078·
 2002 05 35033.
 2002 06 695033·
 2002 07 265051.
 2002 08 405221.
 2002 09 954964·
 2002 10 715100.
 2002 11 455106·
 2002 12 155079.
 2003 01  565211·
 2003 02  935164.
 2003 03  55081.
 2003 04  485108.
 2003 05  124963·
 2003 06  925051.
 2003 07  934987·
 2003 08  575102·
 2003 09  124936.
 2003 10  485021.
 2003 11  245056·
 2003 12  884959·
 2004 01 324971·
 2004 02 705037·
 2004 03 354983·
 2004 04 94932·
 2004 05 745026.
 2004 06 884822·
 2004 07 884785.
 2004 08 134908.
 2004 09 614749.
 2004 10 594734.
 2004 11 724921·
 2004 12 214888·
 2005 01  454848.
 2005 02  654848·
 2005 03  994690.
 2005 04  774853.
 2005 05  04814·
 2005 06  134790.
 2005 07  84699·
 2005 08  494725.
 2005 09  284743·
 2005 10  334656·
 2005 11  614711.
 2005 12  324722·
 2006 01 534737·
 2006 02 844828·
 2006 03 464981.
 2006 04 454778.
 2006 05 264806·
 2006 06 454863·
 2006 07 764652.
 2006 08 324697·
 2006 09 234620·
 2006 10 254618.
 2006 11 894591.
 2006 12 634501.
 2007 01  434682·
 2007 02  544785.
 2007 03  484833.
 2007 04  304759·
 2007 05  134739·
 2007 06  904626·
 2007 07  414710·
 2007 08  544790·
 2007 09  824712·
 2007 10  134818·
 2007 11  804767.
 2007 12  794750·
 2008 01 264741·
 2008 02 314560.
 2008 03 44593.
 2008 04 734508·
 2008 05 454516·
 2008 06 764666.
 2008 07 754598·
 2008 08 314600·
 2008 09 654527·
 2008 10 34506·
 2008 11 814500·
 2008 12 734115·
 2009 01  363984·
 2009 02  943965.
 2009 03  363885.
 2009 04  414021.
 2009 05  344040·
 2009 06  574038·
 2009 07  774075.
 2009 08  64018·
 2009 09  584072.
 2009 10  233937.
 2009 11  663775·
 2009 12  613595·
 2010 01 353528.
 2010 02 473603.
 2010 03 933720·
 2010 04 263822.
 2010 05 143914.
 2010 06 133995.
 2010 07 693947.
 2010 08 454002.
 2010 09 723991·
 2010 10 273933.
 2010 11 333896.
 2010 12 863922.
 2011 01  83819.
 2011 02  203904·
 2011 03  474014.
 2011 04  454056.
 2011 05  483859·
 2011 06  493905.
 2011 07  03968·
 2011 08  404012.
 2011 09  424152·
 2011 10  954242·
 2011 11  44159.
 2011 12  154061·
 2012 01 653932·
 2012 02 663972·
 2012 03 984206.
 2012 04 394247·
 2012 05 194213·
 2012 06 934231.
 2012 07 434200·
 2012 08 74192·
 2012 09 284151.
 2012 10 324244·
 2012 11 284119·
 2012 12 383973·
 2013 01  434026·
 2013 02  654047·
 2013 03  674154.
 2013 04  754124·
 2013 05  394207.
 2013 06  04236·
 2013 07  964217.
 2013 08  894238·
 2013 09  174260·
 2013 10  664113.
 2013 11  784209·
 2013 12  734174·
 2014 01 14216.
 2014 02 224353.
 2014 03 24228·
 2014 04 464244.
 2014 05 434371·
 2014 06 484310·
 2014 07 814357·
 2014 08 524509.
 2014 09 184411.
 2014 10 524383.
 2014 11 524224·
 2014 12 614139.
 2015 01  264279.
 2015 02  654305.
 2015 03  784318.
 2015 04  674242.
 2015 05  924241·
 2015 06  434348.
 2015 07  474455·
 2015 08  894462.
 2015 09  674454.
 2015 10  694423.
 2015 11  724289.
 2015 12  704303.
 2016 01 274307.
 2016 02 494302·
 2016 03 914390.
 2016 04 814225·
 2016 05 714190.
 2016 06 144119·
 2016 07 674243·
 2016 08 154402·
 2016 09 254513.
 2016 10 224669·
 2016 11 884526.
 2016 12 924423.
 2017 01  404227.
 2017 02  534418·
 2017 03  664467.
 2017 04  554654.
 2017 05  914452·
 2017 06  154357.
 2017 07  394346.
 2017 08  734311.
 2017 09  784495.


 2017 10  394501·
 2017 11  714598.
 2017 12  424357.
 2018 01 274290·
 2018 02 824331·
 2018 03 494375.
 2018 04 794473.
 2018 05 874336·
 2018 06 254358·
 2018 07 864369.
 2018 08 304404.
 2018 09 354498.
 2018 10 754587.
 2018 11 204599·
 2018 12 634509.
Economagic: Year Chart
Economagic: Economic Chart Dispenser

Click on chart to change display options.


Similar Series

Skip to Data / More Chart Options

US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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

Economagic has unemployment data for every county?
Click here for every Georgia county and then find your own.

Sites of Interest: Conerly Consulting: Economics for Business Decisions * GGG Marketing SEO Experts * homes for sale - Pelican Marsh * Naples Luxury Real Estate Communities *

 Subscriber Login  |  Subscription Info  |  Turn Advanced Features On  |  Change Defaults  |  Disclaimer
 Browse Data Titles  |  Charts  |  Excel  |  Reports  |  Search  |  Maps & Movies  |  Help  |  About  |  Contact Us
 Economagic.com: Economic Time Series Page
Sitemap