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: Construction and Extraction Occupations, 20 years and over, 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
 2012 04 32128.
 2012 03 8148·
 2012 02 57153.
 2012 01 20157.
 2011 12  63187·
 2011 11  50195·
 2011 10  50191.
 2011 09  63146·
 2011 08  66161·
 2011 07  96150.
 2011 06  51138·
 2011 05  9148·
 2011 04  92139·
 2011 03  30153.
 2011 02  71155·
 2011 01  5160.
 2010 12 16160·
 2010 11 56188·
 2010 10 49177.
 2010 09 20203·
 2010 08 39203·
 2010 07 7188.
 2010 06 49154.
 2010 05 46161·
 2010 04 86173.
 2010 03 39192·
 2010 02 56198·
 2010 01 4201·
 2009 12  8158.
 2009 11  34195·
 2009 10  86195·
 2009 09  38194·
 2009 08  80204·
 2009 07  98200.
 2009 06  75201.
 2009 05  16185·
 2009 04  2179.
 2009 03  64178.
 2009 02  86162.
 2009 01  33198·
 2008 12 0213.
 2008 11 87199·
 2008 10 8205·
 2008 09 9204·
 2008 08 24190.
 2008 07 50227·
 2008 06 53230.
 2008 05 86218·
 2008 04 49222·
 2008 03 60200·
 2008 02 59206·
 2008 01 35242·
 2007 12  76260·
 2007 11  47285·
 2007 10  89304.
 2007 09  49290·
 2007 08  31284.
 2007 07  68258·
 2007 06  31231.
 2007 05  48220·
 2007 04  63203·
 2007 03  5181.
 2007 02  97218.
 2007 01  76238·
 2006 12 48334·
 2006 11 66322·
 2006 10 26313·
 2006 09 1303.
 2006 08 87293.
 2006 07 80298.
 2006 06 81284·
 2006 05 19268.
 2006 04 4226·
 2006 03 5233.
 2006 02 49239·
 2006 01 47281.
 2005 12  51295·
 2005 11  23267.
 2005 10  43298·
 2005 09  31320.
 2005 08  2259.
 2005 07  41251·
 2005 06  2219.
 2005 05  40233·
 2005 04  59242·
 2005 03  89254.
 2005 02  87256.
 2005 01  67248.
 2004 12 46228.
 2004 11 24246.
 2004 10 88251·
 2004 09 32213·
 2004 08 13215.
 2004 07 29197·
 2004 06 16166·
 2004 05 78174·
 2004 04 37184·
 2004 03 10204.
 2004 02 11220.
 2004 01 76202·
 2003 12  17220·
 2003 11  98227.
 2003 10  33232.
 2003 09  19237.
 2003 08  80244·
 2003 07  50221.
 2003 06  73203·
 2003 05  26194.
 2003 04  74204.
 2003 03  48196.
 2003 02  42178·
 2003 01  41206·
 2002 12 77219·
 2002 11 98240.
 2002 10 78250.
 2002 09 34252·
 2002 08 87214.
 2002 07 33194·
 2002 06 44215.
 2002 05 99195·
 2002 04 31216.
 2002 03 8207·
 2002 02 28183·
 2002 01 55189.
 2001 12  59186.
 2001 11  5206.
 2001 10  44224·
 2001 09  45182.
 2001 08  47214.
 2001 07  31190.
 2001 06  28203.
 2001 05  40192·
 2001 04  94212·
 2001 03  18215·
 2001 02  44184·
 2001 01  33202.
 2000 12 26238·
 2000 11 22226·
 2000 10 80240.
 2000 09 43204·
 2000 08 93205·
 2000 07 25228.
 2000 06 48217.
 2000 05 15250·
 2000 04 72245.
 2000 03 33207.
 2000 02 87199.
 2000 01 18185.
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: Construction and Extraction Occupations, 20 years and over, 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

Find out about Advanced Features such as online regressions, XY plots, and multiple series charting.

 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