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 Series Title: Percent Distribution: Employed in Construction and Extraction Occupations, Black or African American, Women: NSA
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 2012 04 580.0
 2012 03 960.2
 2012 02 190.1
 2012 01 60·1
 2011 12  590.2
 2011 11  800·2
 2011 10  770·2
 2011 09  850·2
 2011 08  200.1
 2011 07  570·0
 2011 06  300.0
 2011 05  560·0
 2011 04  920·0
 2011 03  80.1
 2011 02  900.0
 2011 01  630.1
 2010 12 500.1
 2010 11 400.2
 2010 10 950.1
 2010 09 770.3
 2010 08 940.2
 2010 07 830.3
 2010 06 90.4
 2010 05 900·3
 2010 04 500·3
 2010 03 960.3
 2010 02 190.2
 2010 01 220.1
 2009 12  670.1
 2009 11  580.0
 2009 10  380·0
 2009 09  170.2
 2009 08  220·3
 2009 07  780.3
 2009 06  50·3
 2009 05  440.3
 2009 04  150.3
 2009 03  870·3
 2009 02  810·2
 2009 01  980·3
 2008 12 710·3
 2008 11 410·3
 2008 10 540.2
 2008 09 970·3
 2008 08 410.2
 2008 07 210.4
 2008 06 390·4
 2008 05 860.6
 2008 04 00·3
 2008 03 360.4
 2008 02 720·3
 2008 01 340·3
 2007 12  480·5
 2007 11  160·5
 2007 10  170·5
 2007 09  350·4
 2007 08  110.3
 2007 07  170.2
 2007 06  600·2
 2007 05  80.3
 2007 04  390.2
 2007 03  220·2
 2007 02  170·2
 2007 01  970.2
 2006 12 80·4
 2006 11 380.3
 2006 10 230.5
 2006 09 720·3
 2006 08 170.3
 2006 07 950.3
 2006 06 420·3
 2006 05 260.3
 2006 04 930.2
 2006 03 510.3
 2006 02 620.2
 2006 01 780·2
 2005 12  860.5
 2005 11  860.4
 2005 10  960.5
 2005 09  740.5
 2005 08  710·2
 2005 07  90·1
 2005 06  820·2
 2005 05  810.3
 2005 04  480.2
 2005 03  500·3
 2005 02  820.2
 2005 01  950·2
 2004 12 430·3
 2004 11 660.6
 2004 10 850.6
 2004 09 340.3
 2004 08 70·2
 2004 07 380·2
 2004 06 30.1
 2004 05 420·3
 2004 04 140.2
 2004 03 740·3
 2004 02 740·3
 2004 01 880.3
 2003 12  650.3
 2003 11  50·3
 2003 10  620·4
 2003 09  680·4
 2003 08  860.4
 2003 07  880.2
 2003 06  530·0
 2003 05  990·0
 2003 04  260.1
 2003 03  30·2
 2003 02  620·2
 2003 01  260·3
 2002 12 620·1
 2002 11 590·2
 2002 10 250·2
 2002 09 180.2
 2002 08 940·2
 2002 07 860·2
 2002 06 60·2
 2002 05 690.2
 2002 04 460.3
 2002 03 410.2
 2002 02 930.2
 2002 01 990.2
 2001 12  700.2
 2001 11  60·2
 2001 10  980.2
 2001 09  510·2
 2001 08  410·2
 2001 07  880.2
 2001 06  590·2
 2001 05  950·1
 2001 04  590·3
 2001 03  170·3
 2001 02  400·2
 2001 01  240·3
 2000 12 490.3
 2000 11 520·2
 2000 10 280·2
 2000 09 580.3
 2000 08 630.2
 2000 07 720·2
 2000 06 360.3
 2000 05 420·4
 2000 04 740·3
 2000 03 860.2
 2000 02 20·3
 2000 01 440·2
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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, Black or African American, 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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