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 Series Title: Percent Distribution: Employed in Construction and Extraction Occupations: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 764.7
 2012 03 224·8
 2012 02 04.9
 2012 01 74.9
 2011 12  635·1
 2011 11  915.3
 2011 10  165·1
 2011 09  925·2
 2011 08  555·3
 2011 07  975.2
 2011 06  705·1
 2011 05  135.0
 2011 04  05·0
 2011 03  205·0
 2011 02  765.0
 2011 01  154.8
 2010 12 754·9
 2010 11 674·9
 2010 10 715·0
 2010 09 665·1
 2010 08 815.5
 2010 07 705.5
 2010 06 185·4
 2010 05 605·2
 2010 04 415·1
 2010 03 865.1
 2010 02 55·0
 2010 01 185.1
 2009 12  85·2
 2009 11  965·4
 2009 10  445·5
 2009 09  825·4
 2009 08  555.4
 2009 07  75.3
 2009 06  755·3
 2009 05  225.2
 2009 04  845·3
 2009 03  505·1
 2009 02  595·2
 2009 01  325·5
 2008 12 215·6
 2008 11 825.8
 2008 10 855·9
 2008 09 326·0
 2008 08 146.1
 2008 07 856.2
 2008 06 656·0
 2008 05 656.0
 2008 04 405·9
 2008 03 665·8
 2008 02 376·0
 2008 01 16.2
 2007 12  06.4
 2007 11  556.6
 2007 10  656·6
 2007 09  336·5
 2007 08  186·6
 2007 07  106.6
 2007 06  366·5
 2007 05  816.5
 2007 04  446·5
 2007 03  126.5
 2007 02  636.6
 2007 01  896·4
 2006 12 556.6
 2006 11 696·6
 2006 10 836·6
 2006 09 276.7
 2006 08 516·7
 2006 07 106·7
 2006 06 616.7
 2006 05 876.5
 2006 04 576·5
 2006 03 956·4
 2006 02 836.5
 2006 01 906·4
 2005 12  246·5
 2005 11  26·6
 2005 10  626·5
 2005 09  806·6
 2005 08  266·6
 2005 07  416·6
 2005 06  376·6
 2005 05  256·5
 2005 04  646·3
 2005 03  426·2
 2005 02  716·2
 2005 01  206.0
 2004 12 656.1
 2004 11 616.3
 2004 10 506·3
 2004 09 846·3
 2004 08 776.4
 2004 07 816.4
 2004 06 896·4
 2004 05 616.0
 2004 04 765.9
 2004 03 85·8
 2004 02 255·8
 2004 01 215·9
 2003 12  646·0
 2003 11  736·1
 2003 10  206·0
 2003 09  576.3
 2003 08  656·3
 2003 07  346.2
 2003 06  646.1
 2003 05  885.8
 2003 04  295.6
 2003 03  725.5
 2003 02  685.4
 2003 01  595.5
 2002 12 325·7
 2002 11 936.1
 2002 10 706.0
 2002 09 396.0
 2002 08 755.9
 2002 07 305.8
 2002 06 345·8
 2002 05 225·7
 2002 04 825·6
 2002 03 395·6
 2002 02 485.6
 2002 01 275·7
 2001 12  55.8
 2001 11  15.8
 2001 10  236.0
 2001 09  986.0
 2001 08  186.1
 2001 07  236.2
 2001 06  996·0
 2001 05  45·7
 2001 04  225.6
 2001 03  385.4
 2001 02  385.3
 2001 01  405.4
 2000 12 435·6
 2000 11 05·7
 2000 10 285·9
 2000 09 255.8
 2000 08 306·0
 2000 07 935.8
 2000 06 815·7
 2000 05 35.6
 2000 04 595·3
 2000 03 235·2
 2000 02 365·1
 2000 01 425·2
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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: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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