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 Series Title: Percent Distribution: Employed in Construction and Extraction Occupations, Women: NSA
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 2012 04 620.2
 2012 03 810.2
 2012 02 550·2
 2012 01 600·2
 2011 12  00.3
 2011 11  770.3
 2011 10  980·3
 2011 09  990.2
 2011 08  970·3
 2011 07  650.2
 2011 06  370·2
 2011 05  310.2
 2011 04  50·2
 2011 03  270.2
 2011 02  830·2
 2011 01  00·2
 2010 12 980·2
 2010 11 690.3
 2010 10 740·3
 2010 09 740·3
 2010 08 780.3
 2010 07 240·3
 2010 06 740·2
 2010 05 480·2
 2010 04 700.3
 2010 03 470.3
 2010 02 700·3
 2010 01 410·3
 2009 12  240.2
 2009 11  210.3
 2009 10  750.3
 2009 09  970·3
 2009 08  150.3
 2009 07  510·3
 2009 06  270.3
 2009 05  850.3
 2009 04  430·3
 2009 03  710·3
 2009 02  890.2
 2009 01  00·3
 2008 12 360.3
 2008 11 360·3
 2008 10 490·3
 2008 09 600.3
 2008 08 410.3
 2008 07 270·4
 2008 06 190·4
 2008 05 100·3
 2008 04 360.3
 2008 03 530·3
 2008 02 390·3
 2008 01 190·4
 2007 12  200.4
 2007 11  430.4
 2007 10  690.5
 2007 09  810·4
 2007 08  190·4
 2007 07  560.4
 2007 06  990·3
 2007 05  150.3
 2007 04  830·3
 2007 03  720.3
 2007 02  410·4
 2007 01  650·4
 2006 12 880·5
 2006 11 980·5
 2006 10 330.5
 2006 09 00.5
 2006 08 330·5
 2006 07 670.5
 2006 06 380·4
 2006 05 150·4
 2006 04 450.3
 2006 03 330·4
 2006 02 440.4
 2006 01 290.4
 2005 12  740.5
 2005 11  800·4
 2005 10  640.5
 2005 09  850.5
 2005 08  940.4
 2005 07  130·4
 2005 06  360·4
 2005 05  540.4
 2005 04  70.4
 2005 03  650·4
 2005 02  220·4
 2005 01  280.4
 2004 12 390.4
 2004 11 920·4
 2004 10 110·4
 2004 09 280.3
 2004 08 380·4
 2004 07 760·3
 2004 06 150·3
 2004 05 970·3
 2004 04 810·3
 2004 03 230.3
 2004 02 720.3
 2004 01 40·3
 2003 12  680.3
 2003 11  640.4
 2003 10  460.4
 2003 09  450.4
 2003 08  250·4
 2003 07  580·4
 2003 06  230.3
 2003 05  370.3
 2003 04  10.3
 2003 03  840·3
 2003 02  170.3
 2003 01  250·3
 2002 12 730.4
 2002 11 510.4
 2002 10 670.4
 2002 09 780.4
 2002 08 410·4
 2002 07 890.3
 2002 06 340.4
 2002 05 900.3
 2002 04 290.3
 2002 03 550.3
 2002 02 60.3
 2002 01 800.3
 2001 12  890·3
 2001 11  310.3
 2001 10  970·4
 2001 09  930.3
 2001 08  950.4
 2001 07  240·3
 2001 06  440.3
 2001 05  980·3
 2001 04  490.3
 2001 03  640.3
 2001 02  110.3
 2001 01  890·3
 2000 12 760·4
 2000 11 90·4
 2000 10 850·4
 2000 09 840·3
 2000 08 250·3
 2000 07 410.4
 2000 06 790.4
 2000 05 280.4
 2000 04 730·4
 2000 03 650·3
 2000 02 300·3
 2000 01 910.3
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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: Percent Distribution: Employed in Construction and Extraction Occupations, 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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