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 Series Title: Percent Distribution: Employed in Construction and Extraction Occupations, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 118·8
 2012 03 698.9
 2012 02 589.1
 2012 01 179·1
 2011 12  129.4
 2011 11  79.6
 2011 10  729.2
 2011 09  59·6
 2011 08  859·6
 2011 07  499·5
 2011 06  929.4
 2011 05  979.3
 2011 04  819·4
 2011 03  779·2
 2011 02  339·2
 2011 01  388.9
 2010 12 769·1
 2010 11 999·1
 2010 10 329.3
 2010 09 989.4
 2010 08 6910.0
 2010 07 4510.2
 2010 06 5110·0
 2010 05 709·7
 2010 04 879·4
 2010 03 729·4
 2010 02 809.2
 2010 01 739.5
 2009 12  799.6
 2009 11  6210.0
 2009 10  2910·1
 2009 09  529.9
 2009 08  2110·0
 2009 07  229.7
 2009 06  399·8
 2009 05  769.7
 2009 04  139·8
 2009 03  839·6
 2009 02  709·8
 2009 01  3810.1
 2008 12 8110·3
 2008 11 210.7
 2008 10 1210·9
 2008 09 5911.0
 2008 08 7511.1
 2008 07 6111.2
 2008 06 7810.9
 2008 05 8210·8
 2008 04 7110·8
 2008 03 6510.7
 2008 02 411·0
 2008 01 7611.3
 2007 12  6911.6
 2007 11  4711.9
 2007 10  5412·0
 2007 09  3511·7
 2007 08  9411·9
 2007 07  6412.0
 2007 06  1611.8
 2007 05  7911·8
 2007 04  9611·8
 2007 03  9712·0
 2007 02  312.0
 2007 01  5211.8
 2006 12 5212·0
 2006 11 5211·9
 2006 10 5212.0
 2006 09 2312.1
 2006 08 6112.1
 2006 07 6212.0
 2006 06 2712.0
 2006 05 8611·8
 2006 04 4811·8
 2006 03 8311·6
 2006 02 1611.8
 2006 01 6011·7
 2005 12  6611.8
 2005 11  9612.1
 2005 10  3011·8
 2005 09  8911·9
 2005 08  8712·0
 2005 07  911·9
 2005 06  911·9
 2005 05  4311.7
 2005 04  1411·5
 2005 03  5211.3
 2005 02  1511·2
 2005 01  1511.0
 2004 12 7111.1
 2004 11 8311.5
 2004 10 3611·5
 2004 09 2511·4
 2004 08 911·6
 2004 07 8311·5
 2004 06 8511.6
 2004 05 1710·9
 2004 04 310·8
 2004 03 5910.6
 2004 02 9910·6
 2004 01 6010·7
 2003 12  5410·9
 2003 11  4311.1
 2003 10  4211·0
 2003 09  4811.3
 2003 08  8611·3
 2003 07  9011.2
 2003 06  211·0
 2003 05  110·6
 2003 04  5110·4
 2003 03  8310.1
 2003 02  9110.0
 2003 01  6110.2
 2002 12 2410·5
 2002 11 2911.1
 2002 10 4810·9
 2002 09 010.9
 2002 08 510.6
 2002 07 5910·5
 2002 06 3410·4
 2002 05 1010.3
 2002 04 1910.1
 2002 03 2910·2
 2002 02 3910·2
 2002 01 1110.4
 2001 12  1810·6
 2001 11  2110.7
 2001 10  7510·9
 2001 09  4710.9
 2001 08  7511·0
 2001 07  4311.2
 2001 06  7910·8
 2001 05  8710·5
 2001 04  9310·2
 2001 03  259·9
 2001 02  169·8
 2001 01  259·9
 2000 12 9510·3
 2000 11 2410·3
 2000 10 7210.6
 2000 09 8110·4
 2000 08 3310.7
 2000 07 2310.5
 2000 06 6010·2
 2000 05 9810.0
 2000 04 829·6
 2000 03 269·4
 2000 02 199·3
 2000 01 469.5
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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, 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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