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 Series Title: Employment Level: Construction and Extraction Occupations, Cuban: NSA
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 2012 04 7640·
 2012 03 8446.
 2012 02 4549.
 2012 01 1625.
 2011 12  8130·
 2011 11  2537·
 2011 10  3544.
 2011 09  2974·
 2011 08  370·
 2011 07  1464.
 2011 06  7750·
 2011 05  9052·
 2011 04  9224·
 2011 03  3442.
 2011 02  8232.
 2011 01  4428·
 2010 12 2336.
 2010 11 9026.
 2010 10 8936.
 2010 09 6045.
 2010 08 9675·
 2010 07 1485.
 2010 06 6085·
 2010 05 3275·
 2010 04 3859.
 2010 03 6443.
 2010 02 8447.
 2010 01 8036.
 2009 12  9733·
 2009 11  2042.
 2009 10  7344·
 2009 09  4640.
 2009 08  5132·
 2009 07  9033·
 2009 06  6552.
 2009 05  248.
 2009 04  9855.
 2009 03  449·
 2009 02  2441·
 2009 01  4052·
 2008 12 6550·
 2008 11 2051.
 2008 10 3765·
 2008 09 7939·
 2008 08 138.
 2008 07 2037·
 2008 06 1637.
 2008 05 6571·
 2008 04 8365·
 2008 03 957·
 2008 02 052·
 2008 01 6532.
 2007 12  1160·
 2007 11  1951·
 2007 10  5241.
 2007 09  7568.
 2007 08  960.
 2007 07  857·
 2007 06  6066.
 2007 05  1462·
 2007 04  2982.
 2007 03  5786·
 2007 02  3663.
 2007 01  2461.
 2006 12 4677.
 2006 11 7277·
 2006 10 1969·
 2006 09 7782.
 2006 08 6045.
 2006 07 8552·
 2006 06 7169.
 2006 05 6569·
 2006 04 9755·
 2006 03 5349.
 2006 02 8061.
 2006 01 848·
 2005 12  672·
 2005 11  5782·
 2005 10  5954·
 2005 09  5075.
 2005 08  6449.
 2005 07  447·
 2005 06  4659·
 2005 05  6054·
 2005 04  7165.
 2005 03  2659·
 2005 02  361.
 2005 01  3359·
 2004 12 5261·
 2004 11 7978·
 2004 10 2056.
 2004 09 8750.
 2004 08 5734.
 2004 07 4636.
 2004 06 839.
 2004 05 6740·
 2004 04 6251·
 2004 03 3148·
 2004 02 640.
 2004 01 4137.
 2003 12  6834.
 2003 11  6840·
 2003 10  7650·
 2003 09  467·
 2003 08  9952·
 2003 07  1344.
 2003 06  641·
 2003 05  7644.
 2003 04  741·
 2003 03  4742·
 2003 02  940·
 2003 01  9928.
 2002 12 6627·
 2002 11 7723·
 2002 10 2426.
 2002 09 4459·
 2002 08 7756·
 2002 07 3560.
 2002 06 1251.
 2002 05 546.
 2002 04 6545.
 2002 03 7867.
 2002 02 6361.
 2002 01 046·
 2001 12  8139.
 2001 11  8639·
 2001 10  8830.
 2001 09  7351.
 2001 08  9964·
 2001 07  6765.
 2001 06  2555·
 2001 05  9550.
 2001 04  2232·
 2001 03  5332·
 2001 02  3948·
 2001 01  5932.
 2000 12 7337·
 2000 11 9943.
 2000 10 1535·
 2000 09 8336·
 2000 08 362·
 2000 07 8865·
 2000 06 6853·
 2000 05 1354.
 2000 04 8834·
 2000 03 2734.
 2000 02 3542·
 2000 01 1841.
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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, Cuban: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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