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 Series Title: Percent Distribution: Employed in Construction and Extraction Occupations, White Men: NSA
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 2012 04 669.6
 2012 03 429.7
 2012 02 979.9
 2012 01 509.7
 2011 12  4710·2
 2011 11  3710.5
 2011 10  6910·1
 2011 09  2310·3
 2011 08  5810.4
 2011 07  9310·2
 2011 06  510·2
 2011 05  5710.0
 2011 04  4810·1
 2011 03  929.9
 2011 02  1710.0
 2011 01  969.6
 2010 12 929.8
 2010 11 399·8
 2010 10 449·9
 2010 09 1010.2
 2010 08 9110·8
 2010 07 6810·8
 2010 06 4710·7
 2010 05 9210·5
 2010 04 7110·2
 2010 03 3410.2
 2010 02 1610.0
 2010 01 6310.3
 2009 12  8210.3
 2009 11  1910.8
 2009 10  6210·8
 2009 09  6510.6
 2009 08  9810.7
 2009 07  3010·4
 2009 06  2510·5
 2009 05  6810.3
 2009 04  2210·6
 2009 03  9910.4
 2009 02  6510·6
 2009 01  6611·0
 2008 12 7711.1
 2008 11 8211.4
 2008 10 7311·7
 2008 09 7911.9
 2008 08 1512·1
 2008 07 6012.1
 2008 06 6011·7
 2008 05 5011·5
 2008 04 1011.5
 2008 03 4111·4
 2008 02 6411·8
 2008 01 4812.2
 2007 12  6412·6
 2007 11  5612.9
 2007 10  4812.9
 2007 09  6812·6
 2007 08  112·7
 2007 07  6112.7
 2007 06  012.6
 2007 05  2912.5
 2007 04  7212.5
 2007 03  3912.9
 2007 02  3412·8
 2007 01  7512·7
 2006 12 5212.8
 2006 11 9512.6
 2006 10 8612·7
 2006 09 7613.0
 2006 08 4213.0
 2006 07 6312·8
 2006 06 2012·9
 2006 05 2412·7
 2006 04 6712.6
 2006 03 9712·4
 2006 02 2412·5
 2006 01 4012·3
 2005 12  7712·5
 2005 11  8112·9
 2005 10  1012.6
 2005 09  6712.6
 2005 08  4912.7
 2005 07  1912·6
 2005 06  1712.7
 2005 05  7612·6
 2005 04  8112·2
 2005 03  4512·0
 2005 02  712·0
 2005 01  5911·7
 2004 12 111.8
 2004 11 1512·2
 2004 10 6812.0
 2004 09 3512.0
 2004 08 5712·4
 2004 07 1012.2
 2004 06 1312.5
 2004 05 5111.8
 2004 04 2611·7
 2004 03 3811·4
 2004 02 8011.3
 2004 01 7311.3
 2003 12  711.4
 2003 11  2811.6
 2003 10  3311·5
 2003 09  9711.8
 2003 08  2712.0
 2003 07  4012·0
 2003 06  5811·7
 2003 05  4111.4
 2003 04  3611·1
 2003 03  5310.7
 2003 02  6810·6
 2003 01  5010.9
 2002 12 811·2
 2002 11 7511.7
 2002 10 311·5
 2002 09 9311·4
 2002 08 4511.2
 2002 07 3711·0
 2002 06 2311.0
 2002 05 6311.0
 2002 04 7210·7
 2002 03 9610.8
 2002 02 1810·9
 2002 01 8111·0
 2001 12  3811·2
 2001 11  3411.4
 2001 10  111·6
 2001 09  9011·6
 2001 08  2111·6
 2001 07  5611·8
 2001 06  811.4
 2001 05  6011·0
 2001 04  1910·7
 2001 03  9610.5
 2001 02  410·4
 2001 01  8310·5
 2000 12 5910·9
 2000 11 910.8
 2000 10 7511·0
 2000 09 8110·9
 2000 08 9011.3
 2000 07 7711·0
 2000 06 3510.8
 2000 05 9710.5
 2000 04 8810.2
 2000 03 710.0
 2000 02 229.9
 2000 01 9910·1
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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, White Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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