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 Series Title: Employment Level: Construction and Extraction Occupations in Durable Goods Manufacturing Industry: NSA
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 2012 04 32234·
 2012 03 76258·
 2012 02 92284·
 2012 01 64231·
 2011 12  1259.
 2011 11  11231.
 2011 10  8220.
 2011 09  34228·
 2011 08  11210·
 2011 07  19199·
 2011 06  0233·
 2011 05  76227·
 2011 04  12210.
 2011 03  83272.
 2011 02  80252.
 2011 01  37242·
 2010 12 81251·
 2010 11 8189.
 2010 10 87217·
 2010 09 85238.
 2010 08 17264.
 2010 07 27267.
 2010 06 84230·
 2010 05 14206.
 2010 04 46206·
 2010 03 95250·
 2010 02 58224.
 2010 01 43237.
 2009 12  19195.
 2009 11  96211·
 2009 10  23211·
 2009 09  16206.
 2009 08  10243.
 2009 07  34243.
 2009 06  16205·
 2009 05  3220.
 2009 04  20245.
 2009 03  43228·
 2009 02  0278·
 2009 01  97271·
 2008 12 75253.
 2008 11 78229.
 2008 10 63256.
 2008 09 19208.
 2008 08 24245·
 2008 07 22281.
 2008 06 18284·
 2008 05 11261·
 2008 04 44255·
 2008 03 80259·
 2008 02 2269.
 2008 01 43252.
 2007 12  35243·
 2007 11  85263·
 2007 10  80287.
 2007 09  10314.
 2007 08  21282·
 2007 07  93289·
 2007 06  38284·
 2007 05  30334.
 2007 04  54283.
 2007 03  86337.
 2007 02  89290·
 2007 01  47299.
 2006 12 9326·
 2006 11 70302.
 2006 10 72308·
 2006 09 31306.
 2006 08 86268·
 2006 07 77273.
 2006 06 49293·
 2006 05 76262.
 2006 04 10238.
 2006 03 64289.
 2006 02 9259·
 2006 01 0286.
 2005 12  33335.
 2005 11  13337.
 2005 10  63317.
 2005 09  49269.
 2005 08  28274.
 2005 07  29285·
 2005 06  51256.
 2005 05  91223·
 2005 04  98205.
 2005 03  45262·
 2005 02  34254·
 2005 01  20272·
 2004 12 67309.
 2004 11 17316.
 2004 10 1311·
 2004 09 56332·
 2004 08 85327.
 2004 07 27307.
 2004 06 64266.
 2004 05 42266·
 2004 04 28222·
 2004 03 82213·
 2004 02 62244·
 2004 01 48244.
 2003 12  97242.
 2003 11  13245·
 2003 10  58230·
 2003 09  68303·
 2003 08  16310·
 2003 07  77291.
 2003 06  38294·
 2003 05  22285·
 2003 04  36259·
 2003 03  55299.
 2003 02  17299·
 2003 01  52271·
 2002 12 33312.
 2002 11 55304.
 2002 10 32318·
 2002 09 28316.
 2002 08 7308·
 2002 07 7335.
 2002 06 46356.
 2002 05 45354.
 2002 04 83313.
 2002 03 69301·
 2002 02 47292.
 2002 01 22253·
 2001 12  11307·
 2001 11  21301.
 2001 10  47275.
 2001 09  2305.
 2001 08  68348.
 2001 07  71369.
 2001 06  85394.
 2001 05  55362.
 2001 04  53349·
 2001 03  51334.
 2001 02  24305·
 2001 01  76306·
 2000 12 92298·
 2000 11 17276.
 2000 10 51310.
 2000 09 82340·
 2000 08 36374·
 2000 07 50402·
 2000 06 79436.
 2000 05 19420·
 2000 04 59397·
 2000 03 57351·
 2000 02 47348·
 2000 01 55332·
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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 in Durable Goods Manufacturing Industry: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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