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 Series Title: Employment Level: Construction and Extraction Occupations in Manufacturing Industry: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 56412·
 2000 02 49458.
 2000 03 74444·
 2000 04 32496·
 2000 05 51530·
 2000 06 59528·
 2000 07 88485·
 2000 08 98454.
 2000 09 31425.
 2000 10 87388.
 2000 11 22356·
 2000 12 82400.
 2001 01  47403.
 2001 02  13408·
 2001 03  89447·
 2001 04  28470.
 2001 05  74473.
 2001 06  45497·
 2001 07  26446.
 2001 08  4421.
 2001 09  12388.
 2001 10  14345.
 2001 11  97376·
 2001 12  5411·
 2002 01 87369·
 2002 02 76405·
 2002 03 88421·
 2002 04 50401·
 2002 05 49437.
 2002 06 15439·
 2002 07 14422.
 2002 08 83397.
 2002 09 73390.
 2002 10 35384.
 2002 11 12372·
 2002 12 73387·
 2003 01  60358.
 2003 02  69379.
 2003 03  45380.
 2003 04  15331.
 2003 05  36340·
 2003 06  73355·
 2003 07  0363.
 2003 08  27375·
 2003 09  50376·
 2003 10  29309.
 2003 11  91306.
 2003 12  54334.
 2004 01 78325·
 2004 02 44315·
 2004 03 56293.
 2004 04 64287.
 2004 05 20321.
 2004 06 49319·
 2004 07 57359.
 2004 08 53385.
 2004 09 2387·
 2004 10 1354.
 2004 11 83357·
 2004 12 39357·
 2005 01  74328.
 2005 02  82295·
 2005 03  46318.
 2005 04  66264·
 2005 05  12287·
 2005 06  98320.
 2005 07  83338.
 2005 08  3349·
 2005 09  16322.
 2005 10  80372.
 2005 11  59388.
 2005 12  45382.
 2006 01 11333.
 2006 02 86329.
 2006 03 61338.
 2006 04 11287·
 2006 05 48320.
 2006 06 97350.
 2006 07 2328·
 2006 08 44332.
 2006 09 1360.
 2006 10 20350·
 2006 11 19346.
 2006 12 15366·
 2007 01  73356·
 2007 02  87361.
 2007 03  76398·
 2007 04  16335·
 2007 05  87408.
 2007 06  53353·
 2007 07  60359.
 2007 08  68347.
 2007 09  95356·
 2007 10  1323.
 2007 11  85318·
 2007 12  14331·
 2008 01 71342.
 2008 02 37348·
 2008 03 88325.
 2008 04 23307·
 2008 05 17345.
 2008 06 93371.
 2008 07 32353·
 2008 08 90305.
 2008 09 56247·
 2008 10 26308·
 2008 11 5281·
 2008 12 34332.
 2009 01  41355.
 2009 02  17350.
 2009 03  21295·
 2009 04  99308.
 2009 05  46273.
 2009 06  73277·
 2009 07  15303.
 2009 08  54307.
 2009 09  72277.
 2009 10  26277·
 2009 11  53290.
 2009 12  93273.
 2010 01 43302.
 2010 02 32295.
 2010 03 21294·
 2010 04 36251.
 2010 05 11265·
 2010 06 72290.
 2010 07 33333·
 2010 08 26339·
 2010 09 51304·
 2010 10 54285.
 2010 11 26271.
 2010 12 33322.
 2011 01  63295·
 2011 02  9326·
 2011 03  63319.
 2011 04  50256·
 2011 05  73277.
 2011 06  93274·
 2011 07  33262.
 2011 08  97254.
 2011 09  30274.
 2011 10  90273.
 2011 11  47293.
 2011 12  19321·
 2012 01 11283·
 2012 02 4342·
 2012 03 45307·
 2012 04 83286·
 2012 05 16290·
 2012 06 67304.
 2012 07 88316.
 2012 08 85297.
 2012 09 70297.
 2012 10 37301·
 2012 11 65278·
 2012 12 44310·
 2013 01  23282.
 2013 02  95302.
 2013 03  89284·
 2013 04  3286·
 2013 05  52296·
 2013 06  47332·
 2013 07  97342·
 2013 08  31320.
 2013 09  55302.
 2013 10  26285.
 2013 11  53259·
 2013 12  24268·
 2014 01 60293.
 2014 02 88269·
 2014 03 43252.
 2014 04 0287·
 2014 05 15253·
 2014 06 14215.
 2014 07 83235·
 2014 08 3242.
 2014 09 97270·
 2014 10 11299.
 2014 11 8292.
 2014 12 2295.
 2015 01  6289.
 2015 02  10331·
 2015 03  82306·
 2015 04  91318.
 2015 05  67284.
 2015 06  70288.
 2015 07  93302.
 2015 08  91264·
 2015 09  31247·
 2015 10  70272.
 2015 11  53314.
 2015 12  44313.
 2016 01 73293·
 2016 02 18312.
 2016 03 1287.
 2016 04 20324.
 2016 05 93282·
 2016 06 45315·
 2016 07 0336·
 2016 08 12338·
 2016 09 18337.
 2016 10 9261·
 2016 11 37278.
 2016 12 42270·
 2017 01  96301·
 2017 02  89306·
 2017 03  26296.
 2017 04  51303·
 2017 05  4319·
 2017 06  95341·
 2017 07  3269.
 2017 08  10274·


 2017 09  42285.
 2017 10  56301.
 2017 11  33332.
 2017 12  12323.
 2018 01 36336·
 2018 02 29317.
 2018 03 3290·
 2018 04 77243.
 2018 05 35319.
 2018 06 97314.
 2018 07 26316.
 2018 08 49319·
 2018 09 15321·
 2018 10 65306·
 2018 11 39321·
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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 Manufacturing Industry: 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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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