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 Series Title: Percent Distribution: Employed in Construction and Extraction Occupations, Black or African American, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 325·9
 2012 03 275.4
 2012 02 675.4
 2012 01 156.0
 2011 12  635·6
 2011 11  16·2
 2011 10  235·1
 2011 09  515·9
 2011 08  915.9
 2011 07  46·2
 2011 06  116.1
 2011 05  176.4
 2011 04  686·1
 2011 03  196.2
 2011 02  445.8
 2011 01  585·2
 2010 12 676.3
 2010 11 525.8
 2010 10 605·8
 2010 09 415.8
 2010 08 916.4
 2010 07 347·9
 2010 06 227.2
 2010 05 626.5
 2010 04 645·5
 2010 03 235·1
 2010 02 185.4
 2010 01 395.9
 2009 12  366.9
 2009 11  06·0
 2009 10  617.0
 2009 09  176.6
 2009 08  836.6
 2009 07  717.5
 2009 06  887.2
 2009 05  646·5
 2009 04  55·4
 2009 03  684·8
 2009 02  625.5
 2009 01  755.6
 2008 12 286.7
 2008 11 487.6
 2008 10 726·7
 2008 09 706.8
 2008 08 36.6
 2008 07 936·8
 2008 06 296.6
 2008 05 927·2
 2008 04 47·0
 2008 03 97.2
 2008 02 737·3
 2008 01 97.1
 2007 12  317.2
 2007 11  287.7
 2007 10  668·1
 2007 09  187.8
 2007 08  118.6
 2007 07  68.7
 2007 06  967·4
 2007 05  368·6
 2007 04  948.9
 2007 03  258.4
 2007 02  758·6
 2007 01  87.5
 2006 12 547.6
 2006 11 918.5
 2006 10 429.0
 2006 09 27·8
 2006 08 937·8
 2006 07 378·2
 2006 06 597·5
 2006 05 147·2
 2006 04 368·5
 2006 03 198·3
 2006 02 158.5
 2006 01 628·8
 2005 12  338.9
 2005 11  198·5
 2005 10  238.5
 2005 09  909.3
 2005 08  609.3
 2005 07  438·9
 2005 06  198.4
 2005 05  678.3
 2005 04  178·4
 2005 03  238.2
 2005 02  688.4
 2005 01  898·3
 2004 12 298·6
 2004 11 158.7
 2004 10 5610·2
 2004 09 728·0
 2004 08 477·2
 2004 07 27·5
 2004 06 977·0
 2004 05 636.9
 2004 04 467.0
 2004 03 897.3
 2004 02 297.7
 2004 01 308.7
 2003 12  279.4
 2003 11  99.7
 2003 10  159·4
 2003 09  679.9
 2003 08  158.3
 2003 07  177.6
 2003 06  428.2
 2003 05  937·2
 2003 04  607.2
 2003 03  977·5
 2003 02  247.1
 2003 01  536·7
 2002 12 387·2
 2002 11 548.4
 2002 10 988·8
 2002 09 159.1
 2002 08 498.9
 2002 07 208·0
 2002 06 277.9
 2002 05 747·4
 2002 04 187·7
 2002 03 517·7
 2002 02 07.2
 2002 01 487·9
 2001 12  967.4
 2001 11  306·7
 2001 10  287.7
 2001 09  838·6
 2001 08  598.3
 2001 07  638.2
 2001 06  507·9
 2001 05  478.2
 2001 04  68.2
 2001 03  827·6
 2001 02  297·1
 2001 01  347·5
 2000 12 647·6
 2000 11 427·9
 2000 10 538.9
 2000 09 648.4
 2000 08 827.7
 2000 07 278·7
 2000 06 348.0
 2000 05 808.4
 2000 04 367.5
 2000 03 427·6
 2000 02 107.2
 2000 01 527·2
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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, Men: 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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