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, Retail trade, 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  |  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 847468.
 2000 02 27015.
 2000 03 87027·
 2000 04 677105.
 2000 05 696990·
 2000 06 57118.
 2000 07 697298·
 2000 08 837424·
 2000 09 527219·
 2000 10 387405.
 2000 11 627434.
 2000 12 297366·
 2001 01  837071.
 2001 02  837002.
 2001 03  06949.
 2001 04  497081.
 2001 05  387216·
 2001 06  457284·
 2001 07  217472·
 2001 08  127363.
 2001 09  167361.
 2001 10  577245.
 2001 11  877292.
 2001 12  127420·
 2002 01 437056.
 2002 02 766987.
 2002 03 886963.
 2002 04 697002·
 2002 05 707195.
 2002 06 827343·
 2002 07 357265.
 2002 08 267203.
 2002 09 727123·
 2002 10 837293.
 2002 11 677531.
 2002 12 537707·
 2003 01  497432·
 2003 02  107233.
 2003 03  457081.
 2003 04  457293·
 2003 05  277223·
 2003 06  207260.
 2003 07  607481·
 2003 08  197245·
 2003 09  567271.
 2003 10  947369·
 2003 11  227759.
 2003 12  207816·
 2004 01 117385.
 2004 02 407320·
 2004 03 717109·
 2004 04 187012.
 2004 05 947194.
 2004 06 887159·
 2004 07 687586·
 2004 08 67777.
 2004 09 287570·
 2004 10 967682·
 2004 11 37686·
 2004 12 37621.
 2005 01  657435.
 2005 02  447490.
 2005 03  877419·
 2005 04  557543.
 2005 05  817726·
 2005 06  417567·
 2005 07  587722.
 2005 08  297784.
 2005 09  757746·
 2005 10  177812.
 2005 11  807873·
 2005 12  218009.
 2006 01 727627.
 2006 02 287583.
 2006 03 417754·
 2006 04 487793·
 2006 05 247869.
 2006 06 587915.
 2006 07 537842·
 2006 08 567656.
 2006 09 57458.
 2006 10 117440·
 2006 11 547815·
 2006 12 138050.
 2007 01  177770·
 2007 02  217574.
 2007 03  77550.
 2007 04  147597.
 2007 05  847491.
 2007 06  437872·
 2007 07  07768.
 2007 08  787473.
 2007 09  577494·
 2007 10  597554·
 2007 11  477855·
 2007 12  487979.
 2008 01 107845.
 2008 02 767726.
 2008 03 837501.
 2008 04 947480.
 2008 05 467390.
 2008 06 257520.
 2008 07 747586.
 2008 08 117630·
 2008 09 887639·
 2008 10 647630·
 2008 11 67624·
 2008 12 177941·
 2009 01  887597.
 2009 02  737608.
 2009 03  927541·
 2009 04  567280·
 2009 05  207215.
 2009 06  607377.
 2009 07  717370.
 2009 08  987409.
 2009 09  867332·
 2009 10  557133·
 2009 11  57438·
 2009 12  377598·
 2010 01 107487.
 2010 02 177591.
 2010 03 827616·
 2010 04 917655·
 2010 05 437324.
 2010 06 257344.
 2010 07 157370·
 2010 08 57294·
 2010 09 617349·
 2010 10 887436.
 2010 11 417533.
 2010 12 497588·
 2011 01  637391·
 2011 02  367271·
 2011 03  257265·
 2011 04  167314·
 2011 05  757306·
 2011 06  267326.
 2011 07  537266·
 2011 08  257293.
 2011 09  487405.
 2011 10  407309.
 2011 11  397519·
 2011 12  217605·
 2012 01 567385.


 2012 02 857486.
 2012 03 217434·
 2012 04 727289.
 2012 05 17336.
 2012 06 927422.
 2012 07 607396·
 2012 08 747376·
 2012 09 77448·
 2012 10 187438·
 2012 11 467574.
 2012 12 447662·
 2013 01  267515.
 2013 02  447301.
 2013 03  917230·
 2013 04  277413·
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: 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, Retail trade, 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: The Wall Street Examiner: Be prepared. Stay ahead of the herd * vestidos de novia * Cocktailkleider * Bestessayhelp.com - essay writing service. * Celebrity Dresses * Sell Rolex

 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