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 Series Title: Employment Level: Construction and Extraction Occupations, 20 years and over, Men: NSA
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 2012 04 416508·
 2012 03 616548.
 2012 02 976636·
 2012 01 296637.
 2011 12  576940.
 2011 11  857126.
 2011 10  196807.
 2011 09  967053.
 2011 08  327127.
 2011 07  16996.
 2011 06  366890.
 2011 05  566802.
 2011 04  186804·
 2011 03  916645.
 2011 02  606621·
 2011 01  536345.
 2010 12 906607·
 2010 11 616591.
 2010 10 306739.
 2010 09 556878.
 2010 08 487302·
 2010 07 447397.
 2010 06 77222·
 2010 05 577019·
 2010 04 176816.
 2010 03 956677·
 2010 02 826526.
 2010 01 786696·
 2009 12  496859·
 2009 11  977197·
 2009 10  657248.
 2009 09  627149·
 2009 08  187226·
 2009 07  567069.
 2009 06  957107.
 2009 05  797032·
 2009 04  257104·
 2009 03  36900·
 2009 02  357062.
 2009 01  227354·
 2008 12 967696.
 2008 11 968021·
 2008 10 738248.
 2008 09 108334.
 2008 08 798490.
 2008 07 168623·
 2008 06 228347.
 2008 05 888302.
 2008 04 528246·
 2008 03 708081·
 2008 02 198299.
 2008 01 258521·
 2007 12  148809.
 2007 11  899158.
 2007 10  279155·
 2007 09  158934.
 2007 08  919061.
 2007 07  299112.
 2007 06  359031.
 2007 05  779025·
 2007 04  348977.
 2007 03  749034.
 2007 02  568987·
 2007 01  558766.
 2006 12 169118·
 2006 11 289073.
 2006 10 269152·
 2006 09 199186·
 2006 08 409107.
 2006 07 249028.
 2006 06 98977·
 2006 05 628833·
 2006 04 308810·
 2006 03 198583.
 2006 02 938675.
 2006 01 48594.
 2005 12  378761.
 2005 11  948928.
 2005 10  928827.
 2005 09  888848.
 2005 08  368917·
 2005 07  558868.
 2005 06  418783·
 2005 05  858682.
 2005 04  278459.
 2005 03  358223.
 2005 02  68110.
 2005 01  877922.
 2004 12 368020·
 2004 11 908384·
 2004 10 728365.
 2004 09 158232.
 2004 08 148441.
 2004 07 28343·
 2004 06 558356·
 2004 05 127844.
 2004 04 357720.
 2004 03 777564.
 2004 02 907509·
 2004 01 487587·
 2003 12  07801·
 2003 11  477934·
 2003 10  427888.
 2003 09  168128.
 2003 08  358027.
 2003 07  697925·
 2003 06  977822·
 2003 05  367534·
 2003 04  907361·
 2003 03  237086.
 2003 02  707019.
 2003 01  537109.
 2002 12 397410.
 2002 11 187830·
 2002 10 977791·
 2002 09 347823.
 2002 08 857590.
 2002 07 847426·
 2002 06 427429·
 2002 05 747327.
 2002 04 527137·
 2002 03 787147.
 2002 02 937109.
 2002 01 937158.
 2001 12  897368·
 2001 11  837482.
 2001 10  627718.
 2001 09  347787.
 2001 08  747779.
 2001 07  37908.
 2001 06  877618.
 2001 05  677429·
 2001 04  67295·
 2001 03  727012·
 2001 02  326847·
 2001 01  856936·
 2000 12 117249.
 2000 11 457261·
 2000 10 847498.
 2000 09 97392·
 2000 08 387541·
 2000 07 57391.
 2000 06 567195.
 2000 05 817063·
 2000 04 646799.
 2000 03 576591·
 2000 02 866503.
 2000 01 726587·
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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: Employment Level: Construction and Extraction Occupations, 20 years and over, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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