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 Series Title: Percent Distribution: Employed in Construction and Extraction Occupations, Asian: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 711.4
 2012 03 291·5
 2012 02 91.4
 2012 01 581·5
 2011 12  471·7
 2011 11  491·4
 2011 10  381·8
 2011 09  191·5
 2011 08  771·5
 2011 07  551.6
 2011 06  561·5
 2011 05  661·3
 2011 04  111·3
 2011 03  291·7
 2011 02  741·6
 2011 01  431.7
 2010 12 241·6
 2010 11 771·7
 2010 10 331·5
 2010 09 201·3
 2010 08 181·5
 2010 07 311.4
 2010 06 931.4
 2010 05 901.3
 2010 04 171·3
 2010 03 481·8
 2010 02 431·8
 2010 01 731·7
 2009 12  711·4
 2009 11  81·6
 2009 10  961.6
 2009 09  131·6
 2009 08  571·4
 2009 07  201.3
 2009 06  901.5
 2009 05  791.6
 2009 04  751.8
 2009 03  141.4
 2009 02  871.5
 2009 01  651.6
 2008 12 491·8
 2008 11 471.5
 2008 10 761.6
 2008 09 911·4
 2008 08 311.4
 2008 07 12·0
 2008 06 701.8
 2008 05 02·1
 2008 04 952.5
 2008 03 822·2
 2008 02 51.8
 2008 01 611·4
 2007 12  431·4
 2007 11  221.7
 2007 10  461·8
 2007 09  692·0
 2007 08  991.7
 2007 07  781·8
 2007 06  802.0
 2007 05  431·7
 2007 04  141.7
 2007 03  311.6
 2007 02  201.9
 2007 01  271·6
 2006 12 642·0
 2006 11 881.8
 2006 10 42.0
 2006 09 902·1
 2006 08 481·9
 2006 07 811·9
 2006 06 951.7
 2006 05 271·2
 2006 04 921·1
 2006 03 661.5
 2006 02 801·9
 2006 01 551.8
 2005 12  472·0
 2005 11  241.8
 2005 10  731·7
 2005 09  212·2
 2005 08  871.9
 2005 07  631·9
 2005 06  122·0
 2005 05  921.6
 2005 04  141·6
 2005 03  151.3
 2005 02  581·1
 2005 01  631.4
 2004 12 531·1
 2004 11 351.2
 2004 10 11.3
 2004 09 522·1
 2004 08 531·9
 2004 07 62·0
 2004 06 531·9
 2004 05 51.1
 2004 04 911.2
 2004 03 331·0
 2004 02 521·1
 2004 01 911.4
 2003 12  671·5
 2003 11  491·2
 2003 10  611·2
 2003 09  21.8
 2003 08  61.6
 2003 07  111.7
 2003 06  681.2
 2003 05  591·3
 2003 04  581.4
 2003 03  01.3
 2003 02  851·6
 2003 01  61.6
 2002 12 02.1
 2002 11 222.3
 2002 10 512.0
 2002 09 122.1
 2002 08 311·9
 2002 07 102.0
 2002 06 282.1
 2002 05 701.8
 2002 04 761.9
 2002 03 192.1
 2002 02 51.8
 2002 01 12.1
 2001 12  871·9
 2001 11  321·9
 2001 10  941·7
 2001 09  481·7
 2001 08  392·4
 2001 07  552.2
 2001 06  332.3
 2001 05  802·1
 2001 04  312·2
 2001 03  201.9
 2001 02  851·9
 2001 01  921.6
 2000 12 902·4
 2000 11 842.4
 2000 10 382.9
 2000 09 32.5
 2000 08 652·4
 2000 07 271·8
 2000 06 51.6
 2000 05 561·6
 2000 04 331.7
 2000 03 581·8
 2000 02 231.7
 2000 01 211.3
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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, Asian: 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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