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: Employment Level: Nonagriculture, Private Households Wage and Salary Workers, 16-19 years, 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 2760·
 2000 02 7146.
 2000 03 4961·
 2000 04 7849·
 2000 05 9653.
 2000 06 4565·
 2000 07 6952·
 2000 08 4053.
 2000 09 1340.
 2000 10 9931·
 2000 11 7031.
 2000 12 8234·
 2001 01  2845.
 2001 02  1551·
 2001 03  6750.
 2001 04  4854.
 2001 05  1652·
 2001 06  9954.
 2001 07  9658·
 2001 08  754·
 2001 09  7733.
 2001 10  8252.
 2001 11  2247.
 2001 12  5352.
 2002 01 3834·
 2002 02 2147.
 2002 03 3141·
 2002 04 638·
 2002 05 4939·
 2002 06 9959.
 2002 07 3772.
 2002 08 1055·
 2002 09 8439·
 2002 10 2153·
 2002 11 7761·
 2002 12 3343·
 2003 01  4540·
 2003 02  1946·
 2003 03  1433·
 2003 04  7050·
 2003 05  5660·
 2003 06  50109·
 2003 07  37136.
 2003 08  4099.
 2003 09  6971·
 2003 10  9566·
 2003 11  5862.
 2003 12  8854·
 2004 01 5892·
 2004 02 62100·
 2004 03 1579.
 2004 04 8285·
 2004 05 2470.
 2004 06 81121.
 2004 07 71137.
 2004 08 16126·
 2004 09 9254·
 2004 10 1065.
 2004 11 1476.
 2004 12 1076·
 2005 01  1360.
 2005 02  3072·
 2005 03  5752.
 2005 04  743.
 2005 05  6285.
 2005 06  47111.
 2005 07  37120·
 2005 08  78103·
 2005 09  3958.
 2005 10  9482.
 2005 11  1876.
 2005 12  1580·
 2006 01 7082.
 2006 02 2782·
 2006 03 8755·
 2006 04 3957.
 2006 05 654·
 2006 06 2888·
 2006 07 58141·
 2006 08 92117·
 2006 09 2147.
 2006 10 262.
 2006 11 6870·
 2006 12 4671.
 2007 01  1636.
 2007 02  8358.
 2007 03  7953·
 2007 04  9349·
 2007 05  1649·
 2007 06  2682.
 2007 07  8193·
 2007 08  5265.
 2007 09  7342.
 2007 10  1353·
 2007 11  8659·
 2007 12  6979.
 2008 01 6044.
 2008 02 5144.
 2008 03 3140.
 2008 04 1129·
 2008 05 7939.
 2008 06 7271·
 2008 07 80107.
 2008 08 7485·
 2008 09 5558.
 2008 10 3153.
 2008 11 2150.
 2008 12 7653·
 2009 01  3848·
 2009 02  1248.
 2009 03  6627.
 2009 04  6220·
 2009 05  430.
 2009 06  1986.
 2009 07  5374·
 2009 08  9989·
 2009 09  5439.
 2009 10  8641.
 2009 11  4548.
 2009 12  8427·
 2010 01 1138·
 2010 02 6926.
 2010 03 3122·
 2010 04 3529·
 2010 05 2828.
 2010 06 4853.
 2010 07 2366.
 2010 08 9574.
 2010 09 7940.
 2010 10 3241·
 2010 11 5839.
 2010 12 3536·
 2011 01  6538.
 2011 02  5140·
 2011 03  044.
 2011 04  4834.
 2011 05  1037·
 2011 06  6377.
 2011 07  3789.
 2011 08  5374.
 2011 09  6741.
 2011 10  4855·
 2011 11  8229.
 2011 12  9542.
 2012 01 913.
 2012 02 1428·


 2012 03 7141·
 2012 04 4321·
 2012 05 3740·
 2012 06 9294·
 2012 07 70101·
 2012 08 9077·
 2012 09 7774·
 2012 10 3853.
 2012 11 6453.
 2012 12 5646.
 2013 01  7964.
 2013 02  3541.
 2013 03  6835·
 2013 04  8638·
 2013 05  1932.
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: Employment Level: Nonagriculture, Private Households Wage and Salary Workers, 16-19 years, 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

Want to know how State economies fared during the Clinton Administration? Use the Reporter.

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